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Author SHA1 Message Date
teknium1
b54591ddda fix(docker): require explicit env allowlist for container creds 2026-03-15 10:38:30 -07:00
613 changed files with 9984 additions and 120218 deletions

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@@ -1,13 +0,0 @@
# Git
.git
.gitignore
.gitmodules
# Dependencies
node_modules
# CI/CD
.github
# Environment files
.env

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@@ -45,48 +45,14 @@ MINIMAX_API_KEY=
MINIMAX_CN_API_KEY=
# MINIMAX_CN_BASE_URL=https://api.minimaxi.com/v1 # Override default base URL
# =============================================================================
# LLM PROVIDER (OpenCode Zen)
# =============================================================================
# OpenCode Zen provides curated, tested models (GPT, Claude, Gemini, MiniMax, GLM, Kimi)
# Pay-as-you-go pricing. Get your key at: https://opencode.ai/auth
OPENCODE_ZEN_API_KEY=
# OPENCODE_ZEN_BASE_URL=https://opencode.ai/zen/v1 # Override default base URL
# =============================================================================
# LLM PROVIDER (OpenCode Go)
# =============================================================================
# OpenCode Go provides access to open models (GLM-5, Kimi K2.5, MiniMax M2.5)
# $10/month subscription. Get your key at: https://opencode.ai/auth
OPENCODE_GO_API_KEY=
# =============================================================================
# LLM PROVIDER (Hugging Face Inference Providers)
# =============================================================================
# Hugging Face routes to 20+ open models via unified OpenAI-compatible endpoint.
# Free tier included ($0.10/month), no markup on provider rates.
# Get your token at: https://huggingface.co/settings/tokens
# Required permission: "Make calls to Inference Providers"
HF_TOKEN=
# OPENCODE_GO_BASE_URL=https://opencode.ai/zen/go/v1 # Override default base URL
# =============================================================================
# TOOL API KEYS
# =============================================================================
# Exa API Key - AI-native web search and contents
# Get at: https://exa.ai
EXA_API_KEY=
# Parallel API Key - AI-native web search and extract
# Get at: https://parallel.ai
PARALLEL_API_KEY=
# Firecrawl API Key - Web search, extract, and crawl
# Get at: https://firecrawl.dev/
FIRECRAWL_API_KEY=
# FAL.ai API Key - Image generation
# Get at: https://fal.ai/
FAL_KEY=
@@ -98,7 +64,7 @@ FAL_KEY=
HONCHO_API_KEY=
# =============================================================================
# TERMINAL TOOL CONFIGURATION
# TERMINAL TOOL CONFIGURATION (mini-swe-agent backend)
# =============================================================================
# Backend type: "local", "singularity", "docker", "modal", or "ssh"
# Terminal backend is configured in ~/.hermes/config.yaml (terminal.backend).

1
.envrc
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@@ -1 +0,0 @@
use flake

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@@ -1,61 +0,0 @@
name: Docker Build and Publish
on:
push:
branches: [main]
pull_request:
branches: [main]
concurrency:
group: docker-${{ github.ref }}
cancel-in-progress: true
jobs:
build-and-push:
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
submodules: recursive
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build image
uses: docker/build-push-action@v6
with:
context: .
file: Dockerfile
load: true
tags: nousresearch/hermes-agent:test
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Test image starts
run: |
docker run --rm \
-v /tmp/hermes-test:/opt/data \
--entrypoint /opt/hermes/docker/entrypoint.sh \
nousresearch/hermes-agent:test --help
- name: Log in to Docker Hub
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Push image
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
uses: docker/build-push-action@v6
with:
context: .
file: Dockerfile
push: true
tags: |
nousresearch/hermes-agent:latest
nousresearch/hermes-agent:${{ github.sha }}
cache-from: type=gha
cache-to: type=gha,mode=max

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@@ -1,40 +0,0 @@
name: Nix
on:
push:
branches: [main]
pull_request:
paths:
- 'flake.nix'
- 'flake.lock'
- 'nix/**'
- 'pyproject.toml'
- 'uv.lock'
- 'hermes_cli/**'
- 'run_agent.py'
- 'acp_adapter/**'
concurrency:
group: nix-${{ github.ref }}
cancel-in-progress: true
jobs:
nix:
strategy:
matrix:
os: [ubuntu-latest, macos-latest]
runs-on: ${{ matrix.os }}
timeout-minutes: 30
steps:
- uses: actions/checkout@v4
- uses: DeterminateSystems/nix-installer-action@main
- uses: DeterminateSystems/magic-nix-cache-action@main
- name: Check flake
if: runner.os == 'Linux'
run: nix flake check --print-build-logs
- name: Build package
if: runner.os == 'Linux'
run: nix build --print-build-logs
- name: Evaluate flake (macOS)
if: runner.os == 'macOS'
run: nix flake show --json > /dev/null

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@@ -1,192 +0,0 @@
name: Supply Chain Audit
on:
pull_request:
types: [opened, synchronize, reopened]
permissions:
pull-requests: write
contents: read
jobs:
scan:
name: Scan PR for supply chain risks
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Scan diff for suspicious patterns
id: scan
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
set -euo pipefail
BASE="${{ github.event.pull_request.base.sha }}"
HEAD="${{ github.event.pull_request.head.sha }}"
# Get the full diff (added lines only)
DIFF=$(git diff "$BASE".."$HEAD" -- . ':!uv.lock' ':!*.lock' ':!package-lock.json' ':!yarn.lock' || true)
FINDINGS=""
CRITICAL=false
# --- .pth files (auto-execute on Python startup) ---
PTH_FILES=$(git diff --name-only "$BASE".."$HEAD" | grep '\.pth$' || true)
if [ -n "$PTH_FILES" ]; then
CRITICAL=true
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: .pth file added or modified
Python \`.pth\` files in \`site-packages/\` execute automatically when the interpreter starts — no import required. This is the exact mechanism used in the [litellm supply chain attack](https://github.com/BerriAI/litellm/issues/24512).
**Files:**
\`\`\`
${PTH_FILES}
\`\`\`
"
fi
# --- base64 + exec/eval combo (the litellm attack pattern) ---
B64_EXEC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'base64\.(b64decode|decodebytes|urlsafe_b64decode)' | grep -iE 'exec\(|eval\(' | head -10 || true)
if [ -n "$B64_EXEC_HITS" ]; then
CRITICAL=true
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: base64 decode + exec/eval combo
This is the exact pattern used in the [litellm supply chain attack](https://github.com/BerriAI/litellm/issues/24512) — base64-decoded strings passed to exec/eval to hide credential-stealing payloads.
**Matches:**
\`\`\`
${B64_EXEC_HITS}
\`\`\`
"
fi
# --- base64 decode/encode (alone — legitimate uses exist) ---
B64_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'base64\.(b64decode|b64encode|decodebytes|encodebytes|urlsafe_b64decode)|atob\(|btoa\(|Buffer\.from\(.*base64' | head -20 || true)
if [ -n "$B64_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: base64 encoding/decoding detected
Base64 has legitimate uses (images, JWT, etc.) but is also commonly used to obfuscate malicious payloads. Verify the usage is appropriate.
**Matches (first 20):**
\`\`\`
${B64_HITS}
\`\`\`
"
fi
# --- exec/eval with string arguments ---
EXEC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -E '(exec|eval)\s*\(' | grep -v '^\+\s*#' | grep -v 'test_\|mock\|assert\|# ' | head -20 || true)
if [ -n "$EXEC_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: exec() or eval() usage
Dynamic code execution can hide malicious behavior, especially when combined with base64 or network fetches.
**Matches (first 20):**
\`\`\`
${EXEC_HITS}
\`\`\`
"
fi
# --- subprocess with encoded/obfuscated commands ---
PROC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -E 'subprocess\.(Popen|call|run)\s*\(' | grep -iE 'base64|decode|encode|\\x|chr\(' | head -10 || true)
if [ -n "$PROC_HITS" ]; then
CRITICAL=true
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: subprocess with encoded/obfuscated command
Subprocess calls with encoded arguments are a strong indicator of payload execution.
**Matches:**
\`\`\`
${PROC_HITS}
\`\`\`
"
fi
# --- Network calls to non-standard domains ---
EXFIL_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'requests\.(post|put)\(|httpx\.(post|put)\(|urllib\.request\.urlopen' | grep -v '^\+\s*#' | grep -v 'test_\|mock\|assert' | head -10 || true)
if [ -n "$EXFIL_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: Outbound network calls (POST/PUT)
Outbound POST/PUT requests in new code could be data exfiltration. Verify the destination URLs are legitimate.
**Matches (first 10):**
\`\`\`
${EXFIL_HITS}
\`\`\`
"
fi
# --- setup.py / setup.cfg install hooks ---
SETUP_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '(setup\.py|setup\.cfg|__init__\.pth|sitecustomize\.py|usercustomize\.py)$' || true)
if [ -n "$SETUP_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: Install hook files modified
These files can execute code during package installation or interpreter startup.
**Files:**
\`\`\`
${SETUP_HITS}
\`\`\`
"
fi
# --- Compile/marshal/pickle (code object injection) ---
MARSHAL_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'marshal\.loads|pickle\.loads|compile\(' | grep -v '^\+\s*#' | grep -v 'test_\|re\.compile\|ast\.compile' | head -10 || true)
if [ -n "$MARSHAL_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: marshal/pickle/compile usage
These can deserialize or construct executable code objects.
**Matches:**
\`\`\`
${MARSHAL_HITS}
\`\`\`
"
fi
# --- Output results ---
if [ -n "$FINDINGS" ]; then
echo "found=true" >> "$GITHUB_OUTPUT"
if [ "$CRITICAL" = true ]; then
echo "critical=true" >> "$GITHUB_OUTPUT"
else
echo "critical=false" >> "$GITHUB_OUTPUT"
fi
# Write findings to a file (multiline env vars are fragile)
echo "$FINDINGS" > /tmp/findings.md
else
echo "found=false" >> "$GITHUB_OUTPUT"
echo "critical=false" >> "$GITHUB_OUTPUT"
fi
- name: Post warning comment
if: steps.scan.outputs.found == 'true'
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
SEVERITY="⚠️ Supply Chain Risk Detected"
if [ "${{ steps.scan.outputs.critical }}" = "true" ]; then
SEVERITY="🚨 CRITICAL Supply Chain Risk Detected"
fi
BODY="## ${SEVERITY}
This PR contains patterns commonly associated with supply chain attacks. This does **not** mean the PR is malicious — but these patterns require careful human review before merging.
$(cat /tmp/findings.md)
---
*Automated scan triggered by [supply-chain-audit](/.github/workflows/supply-chain-audit.yml). If this is a false positive, a maintainer can approve after manual review.*"
gh pr comment "${{ github.event.pull_request.number }}" --body "$BODY"
- name: Fail on critical findings
if: steps.scan.outputs.critical == 'true'
run: |
echo "::error::CRITICAL supply chain risk patterns detected in this PR. See the PR comment for details."
exit 1

5
.gitignore vendored
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@@ -53,8 +53,3 @@ environments/benchmarks/evals/
# Release script temp files
.release_notes.md
mini-swe-agent/
# Nix
.direnv/
result

3
.gitmodules vendored
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@@ -1,3 +1,6 @@
[submodule "mini-swe-agent"]
path = mini-swe-agent
url = https://github.com/SWE-agent/mini-swe-agent
[submodule "tinker-atropos"]
path = tinker-atropos
url = https://github.com/nousresearch/tinker-atropos

139
AGENTS.md
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@@ -5,7 +5,7 @@ Instructions for AI coding assistants and developers working on the hermes-agent
## Development Environment
```bash
source venv/bin/activate # ALWAYS activate before running Python
source .venv/bin/activate # ALWAYS activate before running Python
```
## Project Structure
@@ -23,7 +23,6 @@ hermes-agent/
│ ├── prompt_caching.py # Anthropic prompt caching
│ ├── auxiliary_client.py # Auxiliary LLM client (vision, summarization)
│ ├── model_metadata.py # Model context lengths, token estimation
│ ├── models_dev.py # models.dev registry integration (provider-aware context)
│ ├── display.py # KawaiiSpinner, tool preview formatting
│ ├── skill_commands.py # Skill slash commands (shared CLI/gateway)
│ └── trajectory.py # Trajectory saving helpers
@@ -38,7 +37,6 @@ hermes-agent/
│ ├── tools_config.py # `hermes tools` — enable/disable tools per platform
│ ├── skills_hub.py # `/skills` slash command (search, browse, install)
│ ├── models.py # Model catalog, provider model lists
│ ├── model_switch.py # Shared /model switch pipeline (CLI + gateway)
│ └── auth.py # Provider credential resolution
├── tools/ # Tool implementations (one file per tool)
│ ├── registry.py # Central tool registry (schemas, handlers, dispatch)
@@ -46,7 +44,7 @@ hermes-agent/
│ ├── terminal_tool.py # Terminal orchestration
│ ├── process_registry.py # Background process management
│ ├── file_tools.py # File read/write/search/patch
│ ├── web_tools.py # Web search/extract (Parallel + Firecrawl)
│ ├── web_tools.py # Firecrawl search/extract
│ ├── browser_tool.py # Browserbase browser automation
│ ├── code_execution_tool.py # execute_code sandbox
│ ├── delegate_tool.py # Subagent delegation
@@ -131,51 +129,14 @@ Messages follow OpenAI format: `{"role": "system/user/assistant/tool", ...}`. Re
- **KawaiiSpinner** (`agent/display.py`) — animated faces during API calls, `┊` activity feed for tool results
- `load_cli_config()` in cli.py merges hardcoded defaults + user config YAML
- **Skin engine** (`hermes_cli/skin_engine.py`) — data-driven CLI theming; initialized from `display.skin` config key at startup; skins customize banner colors, spinner faces/verbs/wings, tool prefix, response box, branding text
- `process_command()` is a method on `HermesCLI` — dispatches on canonical command name resolved via `resolve_command()` from the central registry
- `process_command()` is a method on `HermesCLI` (not in commands.py)
- Skill slash commands: `agent/skill_commands.py` scans `~/.hermes/skills/`, injects as **user message** (not system prompt) to preserve prompt caching
### Slash Command Registry (`hermes_cli/commands.py`)
### Adding CLI Commands
All slash commands are defined in a central `COMMAND_REGISTRY` list of `CommandDef` objects. Every downstream consumer derives from this registry automatically:
- **CLI** — `process_command()` resolves aliases via `resolve_command()`, dispatches on canonical name
- **Gateway** — `GATEWAY_KNOWN_COMMANDS` frozenset for hook emission, `resolve_command()` for dispatch
- **Gateway help** — `gateway_help_lines()` generates `/help` output
- **Telegram** — `telegram_bot_commands()` generates the BotCommand menu
- **Slack** — `slack_subcommand_map()` generates `/hermes` subcommand routing
- **Autocomplete** — `COMMANDS` flat dict feeds `SlashCommandCompleter`
- **CLI help** — `COMMANDS_BY_CATEGORY` dict feeds `show_help()`
### Adding a Slash Command
1. Add a `CommandDef` entry to `COMMAND_REGISTRY` in `hermes_cli/commands.py`:
```python
CommandDef("mycommand", "Description of what it does", "Session",
aliases=("mc",), args_hint="[arg]"),
```
2. Add handler in `HermesCLI.process_command()` in `cli.py`:
```python
elif canonical == "mycommand":
self._handle_mycommand(cmd_original)
```
3. If the command is available in the gateway, add a handler in `gateway/run.py`:
```python
if canonical == "mycommand":
return await self._handle_mycommand(event)
```
4. For persistent settings, use `save_config_value()` in `cli.py`
**CommandDef fields:**
- `name` — canonical name without slash (e.g. `"background"`)
- `description` — human-readable description
- `category` — one of `"Session"`, `"Configuration"`, `"Tools & Skills"`, `"Info"`, `"Exit"`
- `aliases` — tuple of alternative names (e.g. `("bg",)`)
- `args_hint` — argument placeholder shown in help (e.g. `"<prompt>"`, `"[name]"`)
- `cli_only` — only available in the interactive CLI
- `gateway_only` — only available in messaging platforms
- `gateway_config_gate` — config dotpath (e.g. `"display.tool_progress_command"`); when set on a `cli_only` command, the command becomes available in the gateway if the config value is truthy. `GATEWAY_KNOWN_COMMANDS` always includes config-gated commands so the gateway can dispatch them; help/menus only show them when the gate is open.
**Adding an alias** requires only adding it to the `aliases` tuple on the existing `CommandDef`. No other file changes needed — dispatch, help text, Telegram menu, Slack mapping, and autocomplete all update automatically.
1. Add to `COMMANDS` dict in `hermes_cli/commands.py`
2. Add handler in `HermesCLI.process_command()` in `cli.py`
3. For persistent settings, use `save_config_value()` in `cli.py`
---
@@ -210,10 +171,6 @@ registry.register(
The registry handles schema collection, dispatch, availability checking, and error wrapping. All handlers MUST return a JSON string.
**Path references in tool schemas**: If the schema description mentions file paths (e.g. default output directories), use `display_hermes_home()` to make them profile-aware. The schema is generated at import time, which is after `_apply_profile_override()` sets `HERMES_HOME`.
**State files**: If a tool stores persistent state (caches, logs, checkpoints), use `get_hermes_home()` for the base directory — never `Path.home() / ".hermes"`. This ensures each profile gets its own state.
**Agent-level tools** (todo, memory): intercepted by `run_agent.py` before `handle_function_call()`. See `todo_tool.py` for the pattern.
---
@@ -278,7 +235,6 @@ hermes_cli/skin_engine.py # SkinConfig dataclass, built-in skins, YAML loader
| Spinner verbs | `spinner.thinking_verbs` | `display.py` |
| Spinner wings (optional) | `spinner.wings` | `display.py` |
| Tool output prefix | `tool_prefix` | `display.py` |
| Per-tool emojis | `tool_emojis` | `display.py``get_tool_emoji()` |
| Agent name | `branding.agent_name` | `banner.py`, `cli.py` |
| Welcome message | `branding.welcome` | `cli.py` |
| Response box label | `branding.response_label` | `cli.py` |
@@ -362,69 +318,8 @@ in config.yaml (or `HERMES_BACKGROUND_NOTIFICATIONS` env var):
---
## Profiles: Multi-Instance Support
Hermes supports **profiles** — multiple fully isolated instances, each with its own
`HERMES_HOME` directory (config, API keys, memory, sessions, skills, gateway, etc.).
The core mechanism: `_apply_profile_override()` in `hermes_cli/main.py` sets
`HERMES_HOME` before any module imports. All 119+ references to `get_hermes_home()`
automatically scope to the active profile.
### Rules for profile-safe code
1. **Use `get_hermes_home()` for all HERMES_HOME paths.** Import from `hermes_constants`.
NEVER hardcode `~/.hermes` or `Path.home() / ".hermes"` in code that reads/writes state.
```python
# GOOD
from hermes_constants import get_hermes_home
config_path = get_hermes_home() / "config.yaml"
# BAD — breaks profiles
config_path = Path.home() / ".hermes" / "config.yaml"
```
2. **Use `display_hermes_home()` for user-facing messages.** Import from `hermes_constants`.
This returns `~/.hermes` for default or `~/.hermes/profiles/<name>` for profiles.
```python
# GOOD
from hermes_constants import display_hermes_home
print(f"Config saved to {display_hermes_home()}/config.yaml")
# BAD — shows wrong path for profiles
print("Config saved to ~/.hermes/config.yaml")
```
3. **Module-level constants are fine** — they cache `get_hermes_home()` at import time,
which is AFTER `_apply_profile_override()` sets the env var. Just use `get_hermes_home()`,
not `Path.home() / ".hermes"`.
4. **Tests that mock `Path.home()` must also set `HERMES_HOME`** — since code now uses
`get_hermes_home()` (reads env var), not `Path.home() / ".hermes"`:
```python
with patch.object(Path, "home", return_value=tmp_path), \
patch.dict(os.environ, {"HERMES_HOME": str(tmp_path / ".hermes")}):
...
```
5. **Gateway platform adapters should use token locks** — if the adapter connects with
a unique credential (bot token, API key), call `acquire_scoped_lock()` from
`gateway.status` in the `connect()`/`start()` method and `release_scoped_lock()` in
`disconnect()`/`stop()`. This prevents two profiles from using the same credential.
See `gateway/platforms/telegram.py` for the canonical pattern.
6. **Profile operations are HOME-anchored, not HERMES_HOME-anchored** — `_get_profiles_root()`
returns `Path.home() / ".hermes" / "profiles"`, NOT `get_hermes_home() / "profiles"`.
This is intentional — it lets `hermes -p coder profile list` see all profiles regardless
of which one is active.
## Known Pitfalls
### DO NOT hardcode `~/.hermes` paths
Use `get_hermes_home()` from `hermes_constants` for code paths. Use `display_hermes_home()`
for user-facing print/log messages. Hardcoding `~/.hermes` breaks profiles — each profile
has its own `HERMES_HOME` directory. This was the source of 5 bugs fixed in PR #3575.
### DO NOT use `simple_term_menu` for interactive menus
Rendering bugs in tmux/iTerm2 — ghosting on scroll. Use `curses` (stdlib) instead. See `hermes_cli/tools_config.py` for the pattern.
@@ -432,33 +327,17 @@ Rendering bugs in tmux/iTerm2 — ghosting on scroll. Use `curses` (stdlib) inst
Leaks as literal `?[K` text under `prompt_toolkit`'s `patch_stdout`. Use space-padding: `f"\r{line}{' ' * pad}"`.
### `_last_resolved_tool_names` is a process-global in `model_tools.py`
`_run_single_child()` in `delegate_tool.py` saves and restores this global around subagent execution. If you add new code that reads this global, be aware it may be temporarily stale during child agent runs.
### DO NOT hardcode cross-tool references in schema descriptions
Tool schema descriptions must not mention tools from other toolsets by name (e.g., `browser_navigate` saying "prefer web_search"). Those tools may be unavailable (missing API keys, disabled toolset), causing the model to hallucinate calls to non-existent tools. If a cross-reference is needed, add it dynamically in `get_tool_definitions()` in `model_tools.py` — see the `browser_navigate` / `execute_code` post-processing blocks for the pattern.
When subagents overwrite this global, `execute_code` calls after delegation may fail with missing tool imports. Known bug.
### Tests must not write to `~/.hermes/`
The `_isolate_hermes_home` autouse fixture in `tests/conftest.py` redirects `HERMES_HOME` to a temp dir. Never hardcode `~/.hermes/` paths in tests.
**Profile tests**: When testing profile features, also mock `Path.home()` so that
`_get_profiles_root()` and `_get_default_hermes_home()` resolve within the temp dir.
Use the pattern from `tests/hermes_cli/test_profiles.py`:
```python
@pytest.fixture
def profile_env(tmp_path, monkeypatch):
home = tmp_path / ".hermes"
home.mkdir()
monkeypatch.setattr(Path, "home", lambda: tmp_path)
monkeypatch.setenv("HERMES_HOME", str(home))
return home
```
---
## Testing
```bash
source venv/bin/activate
source .venv/bin/activate
python -m pytest tests/ -q # Full suite (~3000 tests, ~3 min)
python -m pytest tests/test_model_tools.py -q # Toolset resolution
python -m pytest tests/test_cli_init.py -q # CLI config loading

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@@ -72,9 +72,8 @@ export VIRTUAL_ENV="$(pwd)/venv"
# Install with all extras (messaging, cron, CLI menus, dev tools)
uv pip install -e ".[all,dev]"
# Optional: RL training submodule
# git submodule update --init tinker-atropos && uv pip install -e "./tinker-atropos"
uv pip install -e "./mini-swe-agent"
uv pip install -e "./tinker-atropos"
# Optional: browser tools
npm install
@@ -137,7 +136,7 @@ hermes-agent/
│ ├── auth.py # Provider resolution, OAuth, Nous Portal
│ ├── models.py # OpenRouter model selection lists
│ ├── banner.py # Welcome banner, ASCII art
│ ├── commands.py # Central slash command registry (CommandDef), autocomplete, gateway helpers
│ ├── commands.py # Slash command definitions + autocomplete
│ ├── callbacks.py # Interactive callbacks (clarify, sudo, approval)
│ ├── doctor.py # Diagnostics
│ ├── skills_hub.py # Skills Hub CLI + /skills slash command
@@ -148,7 +147,7 @@ hermes-agent/
│ ├── approval.py # Dangerous command detection + per-session approval
│ ├── terminal_tool.py # Terminal orchestration (sudo, env lifecycle, backends)
│ ├── file_operations.py # read_file, write_file, search, patch, etc.
│ ├── web_tools.py # web_search, web_extract (Parallel/Firecrawl + Gemini summarization)
│ ├── web_tools.py # web_search, web_extract (Firecrawl + Gemini summarization)
│ ├── vision_tools.py # Image analysis via multimodal models
│ ├── delegate_tool.py # Subagent spawning and parallel task execution
│ ├── code_execution_tool.py # Sandboxed Python with RPC tool access

View File

@@ -1,20 +0,0 @@
FROM debian:13.4
RUN apt-get update
RUN apt-get install -y nodejs npm python3 python3-pip ripgrep ffmpeg gcc python3-dev libffi-dev
COPY . /opt/hermes
WORKDIR /opt/hermes
RUN pip install -e ".[all]" --break-system-packages
RUN npm install
RUN npx playwright install --with-deps chromium
WORKDIR /opt/hermes/scripts/whatsapp-bridge
RUN npm install
WORKDIR /opt/hermes
RUN chmod +x /opt/hermes/docker/entrypoint.sh
ENV HERMES_HOME=/opt/data
VOLUME [ "/opt/data" ]
ENTRYPOINT [ "/opt/hermes/docker/entrypoint.sh" ]

View File

@@ -2,7 +2,7 @@
<img src="assets/banner.png" alt="Hermes Agent" width="100%">
</p>
# Hermes Agent
# Hermes Agent
<p align="center">
<a href="https://hermes-agent.nousresearch.com/docs/"><img src="https://img.shields.io/badge/Docs-hermes--agent.nousresearch.com-FFD700?style=for-the-badge" alt="Documentation"></a>
@@ -62,24 +62,6 @@ hermes doctor # Diagnose any issues
📖 **[Full documentation →](https://hermes-agent.nousresearch.com/docs/)**
## CLI vs Messaging Quick Reference
Hermes has two entry points: start the terminal UI with `hermes`, or run the gateway and talk to it from Telegram, Discord, Slack, WhatsApp, Signal, or Email. Once you're in a conversation, many slash commands are shared across both interfaces.
| Action | CLI | Messaging platforms |
|---------|-----|---------------------|
| Start chatting | `hermes` | Run `hermes gateway setup` + `hermes gateway start`, then send the bot a message |
| Start fresh conversation | `/new` or `/reset` | `/new` or `/reset` |
| Change model | `/model [provider:model]` | `/model [provider:model]` |
| Set a personality | `/personality [name]` | `/personality [name]` |
| Retry or undo the last turn | `/retry`, `/undo` | `/retry`, `/undo` |
| Compress context / check usage | `/compress`, `/usage`, `/insights [--days N]` | `/compress`, `/usage`, `/insights [days]` |
| Browse skills | `/skills` or `/<skill-name>` | `/skills` or `/<skill-name>` |
| Interrupt current work | `Ctrl+C` or send a new message | `/stop` or send a new message |
| Platform-specific status | `/platforms` | `/status`, `/sethome` |
For the full command lists, see the [CLI guide](https://hermes-agent.nousresearch.com/docs/user-guide/cli) and the [Messaging Gateway guide](https://hermes-agent.nousresearch.com/docs/user-guide/messaging).
---
## Documentation
@@ -144,14 +126,16 @@ Quick start for contributors:
```bash
git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
git submodule update --init mini-swe-agent # required terminal backend
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv venv --python 3.11
source venv/bin/activate
uv venv .venv --python 3.11
source .venv/bin/activate
uv pip install -e ".[all,dev]"
uv pip install -e "./mini-swe-agent"
python -m pytest tests/ -q
```
> **RL Training (optional):** To work on the RL/Tinker-Atropos integration:
> **RL Training (optional):** To work on the RL/Tinker-Atropos integration, also run:
> ```bash
> git submodule update --init tinker-atropos
> uv pip install -e "./tinker-atropos"

View File

@@ -1,377 +0,0 @@
# Hermes Agent v0.3.0 (v2026.3.17)
**Release Date:** March 17, 2026
> The streaming, plugins, and provider release — unified real-time token delivery, first-class plugin architecture, rebuilt provider system with Vercel AI Gateway, native Anthropic provider, smart approvals, live Chrome CDP browser connect, ACP IDE integration, Honcho memory, voice mode, persistent shell, and 50+ bug fixes across every platform.
---
## ✨ Highlights
- **Unified Streaming Infrastructure** — Real-time token-by-token delivery in CLI and all gateway platforms. Responses stream as they're generated instead of arriving as a block. ([#1538](https://github.com/NousResearch/hermes-agent/pull/1538))
- **First-Class Plugin Architecture** — Drop Python files into `~/.hermes/plugins/` to extend Hermes with custom tools, commands, and hooks. No forking required. ([#1544](https://github.com/NousResearch/hermes-agent/pull/1544), [#1555](https://github.com/NousResearch/hermes-agent/pull/1555))
- **Native Anthropic Provider** — Direct Anthropic API calls with Claude Code credential auto-discovery, OAuth PKCE flows, and native prompt caching. No OpenRouter middleman needed. ([#1097](https://github.com/NousResearch/hermes-agent/pull/1097))
- **Smart Approvals + /stop Command** — Codex-inspired approval system that learns which commands are safe and remembers your preferences. `/stop` kills the current agent run immediately. ([#1543](https://github.com/NousResearch/hermes-agent/pull/1543))
- **Honcho Memory Integration** — Async memory writes, configurable recall modes, session title integration, and multi-user isolation in gateway mode. By @erosika. ([#736](https://github.com/NousResearch/hermes-agent/pull/736))
- **Voice Mode** — Push-to-talk in CLI, voice notes in Telegram/Discord, Discord voice channel support, and local Whisper transcription via faster-whisper. ([#1299](https://github.com/NousResearch/hermes-agent/pull/1299), [#1185](https://github.com/NousResearch/hermes-agent/pull/1185), [#1429](https://github.com/NousResearch/hermes-agent/pull/1429))
- **Concurrent Tool Execution** — Multiple independent tool calls now run in parallel via ThreadPoolExecutor, significantly reducing latency for multi-tool turns. ([#1152](https://github.com/NousResearch/hermes-agent/pull/1152))
- **PII Redaction** — When `privacy.redact_pii` is enabled, personally identifiable information is automatically scrubbed before sending context to LLM providers. ([#1542](https://github.com/NousResearch/hermes-agent/pull/1542))
- **`/browser connect` via CDP** — Attach browser tools to a live Chrome instance through Chrome DevTools Protocol. Debug, inspect, and interact with pages you already have open. ([#1549](https://github.com/NousResearch/hermes-agent/pull/1549))
- **Vercel AI Gateway Provider** — Route Hermes through Vercel's AI Gateway for access to their model catalog and infrastructure. ([#1628](https://github.com/NousResearch/hermes-agent/pull/1628))
- **Centralized Provider Router** — Rebuilt provider system with `call_llm` API, unified `/model` command, auto-detect provider on model switch, and direct endpoint overrides for auxiliary/delegation clients. ([#1003](https://github.com/NousResearch/hermes-agent/pull/1003), [#1506](https://github.com/NousResearch/hermes-agent/pull/1506), [#1375](https://github.com/NousResearch/hermes-agent/pull/1375))
- **ACP Server (IDE Integration)** — VS Code, Zed, and JetBrains can now connect to Hermes as an agent backend, with full slash command support. ([#1254](https://github.com/NousResearch/hermes-agent/pull/1254), [#1532](https://github.com/NousResearch/hermes-agent/pull/1532))
- **Persistent Shell Mode** — Local and SSH terminal backends can maintain shell state across tool calls — cd, env vars, and aliases persist. By @alt-glitch. ([#1067](https://github.com/NousResearch/hermes-agent/pull/1067), [#1483](https://github.com/NousResearch/hermes-agent/pull/1483))
- **Agentic On-Policy Distillation (OPD)** — New RL training environment for distilling agent policies, expanding the Atropos training ecosystem. ([#1149](https://github.com/NousResearch/hermes-agent/pull/1149))
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- **Centralized provider router** with `call_llm` API and unified `/model` command — switch models and providers seamlessly ([#1003](https://github.com/NousResearch/hermes-agent/pull/1003))
- **Vercel AI Gateway** provider support ([#1628](https://github.com/NousResearch/hermes-agent/pull/1628))
- **Auto-detect provider** when switching models via `/model` ([#1506](https://github.com/NousResearch/hermes-agent/pull/1506))
- **Direct endpoint overrides** for auxiliary and delegation clients — point vision/subagent calls at specific endpoints ([#1375](https://github.com/NousResearch/hermes-agent/pull/1375))
- **Native Anthropic auxiliary vision** — use Claude's native vision API instead of routing through OpenAI-compatible endpoints ([#1377](https://github.com/NousResearch/hermes-agent/pull/1377))
- Anthropic OAuth flow improvements — auto-run `claude setup-token`, reauthentication, PKCE state persistence, identity fingerprinting ([#1132](https://github.com/NousResearch/hermes-agent/pull/1132), [#1360](https://github.com/NousResearch/hermes-agent/pull/1360), [#1396](https://github.com/NousResearch/hermes-agent/pull/1396), [#1597](https://github.com/NousResearch/hermes-agent/pull/1597))
- Fix adaptive thinking without `budget_tokens` for Claude 4.6 models — by @ASRagab ([#1128](https://github.com/NousResearch/hermes-agent/pull/1128))
- Fix Anthropic cache markers through adapter — by @brandtcormorant ([#1216](https://github.com/NousResearch/hermes-agent/pull/1216))
- Retry Anthropic 429/529 errors and surface details to users — by @0xbyt4 ([#1585](https://github.com/NousResearch/hermes-agent/pull/1585))
- Fix Anthropic adapter max_tokens, fallback crash, proxy base_url — by @0xbyt4 ([#1121](https://github.com/NousResearch/hermes-agent/pull/1121))
- Fix DeepSeek V3 parser dropping multiple parallel tool calls — by @mr-emmett-one ([#1365](https://github.com/NousResearch/hermes-agent/pull/1365), [#1300](https://github.com/NousResearch/hermes-agent/pull/1300))
- Accept unlisted models with warning instead of rejecting ([#1047](https://github.com/NousResearch/hermes-agent/pull/1047), [#1102](https://github.com/NousResearch/hermes-agent/pull/1102))
- Skip reasoning params for unsupported OpenRouter models ([#1485](https://github.com/NousResearch/hermes-agent/pull/1485))
- MiniMax Anthropic API compatibility fix ([#1623](https://github.com/NousResearch/hermes-agent/pull/1623))
- Custom endpoint `/models` verification and `/v1` base URL suggestion ([#1480](https://github.com/NousResearch/hermes-agent/pull/1480))
- Resolve delegation providers from `custom_providers` config ([#1328](https://github.com/NousResearch/hermes-agent/pull/1328))
- Kimi model additions and User-Agent fix ([#1039](https://github.com/NousResearch/hermes-agent/pull/1039))
- Strip `call_id`/`response_item_id` for Mistral compatibility ([#1058](https://github.com/NousResearch/hermes-agent/pull/1058))
### Agent Loop & Conversation
- **Anthropic Context Editing API** support ([#1147](https://github.com/NousResearch/hermes-agent/pull/1147))
- Improved context compaction handoff summaries — compressor now preserves more actionable state ([#1273](https://github.com/NousResearch/hermes-agent/pull/1273))
- Sync session_id after mid-run context compression ([#1160](https://github.com/NousResearch/hermes-agent/pull/1160))
- Session hygiene threshold tuned to 50% for more proactive compression ([#1096](https://github.com/NousResearch/hermes-agent/pull/1096), [#1161](https://github.com/NousResearch/hermes-agent/pull/1161))
- Include session ID in system prompt via `--pass-session-id` flag ([#1040](https://github.com/NousResearch/hermes-agent/pull/1040))
- Prevent closed OpenAI client reuse across retries ([#1391](https://github.com/NousResearch/hermes-agent/pull/1391))
- Sanitize chat payloads and provider precedence ([#1253](https://github.com/NousResearch/hermes-agent/pull/1253))
- Handle dict tool call arguments from Codex and local backends ([#1393](https://github.com/NousResearch/hermes-agent/pull/1393), [#1440](https://github.com/NousResearch/hermes-agent/pull/1440))
### Memory & Sessions
- **Improve memory prioritization** — user preferences and corrections weighted above procedural knowledge ([#1548](https://github.com/NousResearch/hermes-agent/pull/1548))
- Tighter memory and session recall guidance in system prompts ([#1329](https://github.com/NousResearch/hermes-agent/pull/1329))
- Persist CLI token counts to session DB for `/insights` ([#1498](https://github.com/NousResearch/hermes-agent/pull/1498))
- Keep Honcho recall out of the cached system prefix ([#1201](https://github.com/NousResearch/hermes-agent/pull/1201))
- Correct `seed_ai_identity` to use `session.add_messages()` ([#1475](https://github.com/NousResearch/hermes-agent/pull/1475))
- Isolate Honcho session routing for multi-user gateway ([#1500](https://github.com/NousResearch/hermes-agent/pull/1500))
---
## 📱 Messaging Platforms (Gateway)
### Gateway Core
- **System gateway service mode** — run as a system-level systemd service, not just user-level ([#1371](https://github.com/NousResearch/hermes-agent/pull/1371))
- **Gateway install scope prompts** — choose user vs system scope during setup ([#1374](https://github.com/NousResearch/hermes-agent/pull/1374))
- **Reasoning hot reload** — change reasoning settings without restarting the gateway ([#1275](https://github.com/NousResearch/hermes-agent/pull/1275))
- Default group sessions to per-user isolation — no more shared state across users in group chats ([#1495](https://github.com/NousResearch/hermes-agent/pull/1495), [#1417](https://github.com/NousResearch/hermes-agent/pull/1417))
- Harden gateway restart recovery ([#1310](https://github.com/NousResearch/hermes-agent/pull/1310))
- Cancel active runs during shutdown ([#1427](https://github.com/NousResearch/hermes-agent/pull/1427))
- SSL certificate auto-detection for NixOS and non-standard systems ([#1494](https://github.com/NousResearch/hermes-agent/pull/1494))
- Auto-detect D-Bus session bus for `systemctl --user` on headless servers ([#1601](https://github.com/NousResearch/hermes-agent/pull/1601))
- Auto-enable systemd linger during gateway install on headless servers ([#1334](https://github.com/NousResearch/hermes-agent/pull/1334))
- Fall back to module entrypoint when `hermes` is not on PATH ([#1355](https://github.com/NousResearch/hermes-agent/pull/1355))
- Fix dual gateways on macOS launchd after `hermes update` ([#1567](https://github.com/NousResearch/hermes-agent/pull/1567))
- Remove recursive ExecStop from systemd units ([#1530](https://github.com/NousResearch/hermes-agent/pull/1530))
- Prevent logging handler accumulation in gateway mode ([#1251](https://github.com/NousResearch/hermes-agent/pull/1251))
- Restart on retryable startup failures — by @jplew ([#1517](https://github.com/NousResearch/hermes-agent/pull/1517))
- Backfill model on gateway sessions after agent runs ([#1306](https://github.com/NousResearch/hermes-agent/pull/1306))
- PID-based gateway kill and deferred config write ([#1499](https://github.com/NousResearch/hermes-agent/pull/1499))
### Telegram
- Buffer media groups to prevent self-interruption from photo bursts ([#1341](https://github.com/NousResearch/hermes-agent/pull/1341), [#1422](https://github.com/NousResearch/hermes-agent/pull/1422))
- Retry on transient TLS failures during connect and send ([#1535](https://github.com/NousResearch/hermes-agent/pull/1535))
- Harden polling conflict handling ([#1339](https://github.com/NousResearch/hermes-agent/pull/1339))
- Escape chunk indicators and inline code in MarkdownV2 ([#1478](https://github.com/NousResearch/hermes-agent/pull/1478), [#1626](https://github.com/NousResearch/hermes-agent/pull/1626))
- Check updater/app state before disconnect ([#1389](https://github.com/NousResearch/hermes-agent/pull/1389))
### Discord
- `/thread` command with `auto_thread` config and media metadata fixes ([#1178](https://github.com/NousResearch/hermes-agent/pull/1178))
- Auto-thread on @mention, skip mention text in bot threads ([#1438](https://github.com/NousResearch/hermes-agent/pull/1438))
- Retry without reply reference for system messages ([#1385](https://github.com/NousResearch/hermes-agent/pull/1385))
- Preserve native document and video attachment support ([#1392](https://github.com/NousResearch/hermes-agent/pull/1392))
- Defer discord adapter annotations to avoid optional import crashes ([#1314](https://github.com/NousResearch/hermes-agent/pull/1314))
### Slack
- Thread handling overhaul — progress messages, responses, and session isolation all respect threads ([#1103](https://github.com/NousResearch/hermes-agent/pull/1103))
- Formatting, reactions, user resolution, and command improvements ([#1106](https://github.com/NousResearch/hermes-agent/pull/1106))
- Fix MAX_MESSAGE_LENGTH 3900 → 39000 ([#1117](https://github.com/NousResearch/hermes-agent/pull/1117))
- File upload fallback preserves thread context — by @0xbyt4 ([#1122](https://github.com/NousResearch/hermes-agent/pull/1122))
- Improve setup guidance ([#1387](https://github.com/NousResearch/hermes-agent/pull/1387))
### Email
- Fix IMAP UID tracking and SMTP TLS verification ([#1305](https://github.com/NousResearch/hermes-agent/pull/1305))
- Add `skip_attachments` option via config.yaml ([#1536](https://github.com/NousResearch/hermes-agent/pull/1536))
### Home Assistant
- Event filtering closed by default ([#1169](https://github.com/NousResearch/hermes-agent/pull/1169))
---
## 🖥️ CLI & User Experience
### Interactive CLI
- **Persistent CLI status bar** — always-visible model, provider, and token counts ([#1522](https://github.com/NousResearch/hermes-agent/pull/1522))
- **File path autocomplete** in the input prompt ([#1545](https://github.com/NousResearch/hermes-agent/pull/1545))
- **`/plan` command** — generate implementation plans from specs ([#1372](https://github.com/NousResearch/hermes-agent/pull/1372), [#1381](https://github.com/NousResearch/hermes-agent/pull/1381))
- **Major `/rollback` improvements** — richer checkpoint history, clearer UX ([#1505](https://github.com/NousResearch/hermes-agent/pull/1505))
- **Preload CLI skills on launch** — skills are ready before the first prompt ([#1359](https://github.com/NousResearch/hermes-agent/pull/1359))
- **Centralized slash command registry** — all commands defined once, consumed everywhere ([#1603](https://github.com/NousResearch/hermes-agent/pull/1603))
- `/bg` alias for `/background` ([#1590](https://github.com/NousResearch/hermes-agent/pull/1590))
- Prefix matching for slash commands — `/mod` resolves to `/model` ([#1320](https://github.com/NousResearch/hermes-agent/pull/1320))
- `/new`, `/reset`, `/clear` now start genuinely fresh sessions ([#1237](https://github.com/NousResearch/hermes-agent/pull/1237))
- Accept session ID prefixes for session actions ([#1425](https://github.com/NousResearch/hermes-agent/pull/1425))
- TUI prompt and accent output now respect active skin ([#1282](https://github.com/NousResearch/hermes-agent/pull/1282))
- Centralize tool emoji metadata in registry + skin integration ([#1484](https://github.com/NousResearch/hermes-agent/pull/1484))
- "View full command" option added to dangerous command approval — by @teknium1 based on design by community ([#887](https://github.com/NousResearch/hermes-agent/pull/887))
- Non-blocking startup update check and banner deduplication ([#1386](https://github.com/NousResearch/hermes-agent/pull/1386))
- `/reasoning` command output ordering and inline think extraction fixes ([#1031](https://github.com/NousResearch/hermes-agent/pull/1031))
- Verbose mode shows full untruncated output ([#1472](https://github.com/NousResearch/hermes-agent/pull/1472))
- Fix `/status` to report live state and tokens ([#1476](https://github.com/NousResearch/hermes-agent/pull/1476))
- Seed a default global SOUL.md ([#1311](https://github.com/NousResearch/hermes-agent/pull/1311))
### Setup & Configuration
- **OpenClaw migration** during first-time setup — by @kshitijk4poor ([#981](https://github.com/NousResearch/hermes-agent/pull/981))
- `hermes claw migrate` command + migration docs ([#1059](https://github.com/NousResearch/hermes-agent/pull/1059))
- Smart vision setup that respects the user's chosen provider ([#1323](https://github.com/NousResearch/hermes-agent/pull/1323))
- Handle headless setup flows end-to-end ([#1274](https://github.com/NousResearch/hermes-agent/pull/1274))
- Prefer curses over `simple_term_menu` in setup.py ([#1487](https://github.com/NousResearch/hermes-agent/pull/1487))
- Show effective model and provider in `/status` ([#1284](https://github.com/NousResearch/hermes-agent/pull/1284))
- Config set examples use placeholder syntax ([#1322](https://github.com/NousResearch/hermes-agent/pull/1322))
- Reload .env over stale shell overrides ([#1434](https://github.com/NousResearch/hermes-agent/pull/1434))
- Fix is_coding_plan NameError crash — by @0xbyt4 ([#1123](https://github.com/NousResearch/hermes-agent/pull/1123))
- Add missing packages to setuptools config — by @alt-glitch ([#912](https://github.com/NousResearch/hermes-agent/pull/912))
- Installer: clarify why sudo is needed at every prompt ([#1602](https://github.com/NousResearch/hermes-agent/pull/1602))
---
## 🔧 Tool System
### Terminal & Execution
- **Persistent shell mode** for local and SSH backends — maintain shell state across tool calls — by @alt-glitch ([#1067](https://github.com/NousResearch/hermes-agent/pull/1067), [#1483](https://github.com/NousResearch/hermes-agent/pull/1483))
- **Tirith pre-exec command scanning** — security layer that analyzes commands before execution ([#1256](https://github.com/NousResearch/hermes-agent/pull/1256))
- Strip Hermes provider env vars from all subprocess environments ([#1157](https://github.com/NousResearch/hermes-agent/pull/1157), [#1172](https://github.com/NousResearch/hermes-agent/pull/1172), [#1399](https://github.com/NousResearch/hermes-agent/pull/1399), [#1419](https://github.com/NousResearch/hermes-agent/pull/1419)) — initial fix by @eren-karakus0
- SSH preflight check ([#1486](https://github.com/NousResearch/hermes-agent/pull/1486))
- Docker backend: make cwd workspace mount explicit opt-in ([#1534](https://github.com/NousResearch/hermes-agent/pull/1534))
- Add project root to PYTHONPATH in execute_code sandbox ([#1383](https://github.com/NousResearch/hermes-agent/pull/1383))
- Eliminate execute_code progress spam on gateway platforms ([#1098](https://github.com/NousResearch/hermes-agent/pull/1098))
- Clearer docker backend preflight errors ([#1276](https://github.com/NousResearch/hermes-agent/pull/1276))
### Browser
- **`/browser connect`** — attach browser tools to a live Chrome instance via CDP ([#1549](https://github.com/NousResearch/hermes-agent/pull/1549))
- Improve browser cleanup, local browser PATH setup, and screenshot recovery ([#1333](https://github.com/NousResearch/hermes-agent/pull/1333))
### MCP
- **Selective tool loading** with utility policies — filter which MCP tools are available ([#1302](https://github.com/NousResearch/hermes-agent/pull/1302))
- Auto-reload MCP tools when `mcp_servers` config changes without restart ([#1474](https://github.com/NousResearch/hermes-agent/pull/1474))
- Resolve npx stdio connection failures ([#1291](https://github.com/NousResearch/hermes-agent/pull/1291))
- Preserve MCP toolsets when saving platform tool config ([#1421](https://github.com/NousResearch/hermes-agent/pull/1421))
### Vision
- Unify vision backend gating ([#1367](https://github.com/NousResearch/hermes-agent/pull/1367))
- Surface actual error reason instead of generic message ([#1338](https://github.com/NousResearch/hermes-agent/pull/1338))
- Make Claude image handling work end-to-end ([#1408](https://github.com/NousResearch/hermes-agent/pull/1408))
### Cron
- **Compress cron management into one tool** — single `cronjob` tool replaces multiple commands ([#1343](https://github.com/NousResearch/hermes-agent/pull/1343))
- Suppress duplicate cron sends to auto-delivery targets ([#1357](https://github.com/NousResearch/hermes-agent/pull/1357))
- Persist cron sessions to SQLite ([#1255](https://github.com/NousResearch/hermes-agent/pull/1255))
- Per-job runtime overrides (provider, model, base_url) ([#1398](https://github.com/NousResearch/hermes-agent/pull/1398))
- Atomic write in `save_job_output` to prevent data loss on crash ([#1173](https://github.com/NousResearch/hermes-agent/pull/1173))
- Preserve thread context for `deliver=origin` ([#1437](https://github.com/NousResearch/hermes-agent/pull/1437))
### Patch Tool
- Avoid corrupting pipe chars in V4A patch apply ([#1286](https://github.com/NousResearch/hermes-agent/pull/1286))
- Permissive `block_anchor` thresholds and unicode normalization ([#1539](https://github.com/NousResearch/hermes-agent/pull/1539))
### Delegation
- Add observability metadata to subagent results (model, tokens, duration, tool trace) ([#1175](https://github.com/NousResearch/hermes-agent/pull/1175))
---
## 🧩 Skills Ecosystem
### Skills System
- **Integrate skills.sh** as a hub source alongside ClawHub ([#1303](https://github.com/NousResearch/hermes-agent/pull/1303))
- Secure skill env setup on load ([#1153](https://github.com/NousResearch/hermes-agent/pull/1153))
- Honor policy table for dangerous verdicts ([#1330](https://github.com/NousResearch/hermes-agent/pull/1330))
- Harden ClawHub skill search exact matches ([#1400](https://github.com/NousResearch/hermes-agent/pull/1400))
- Fix ClawHub skill install — use `/download` ZIP endpoint ([#1060](https://github.com/NousResearch/hermes-agent/pull/1060))
- Avoid mislabeling local skills as builtin — by @arceus77-7 ([#862](https://github.com/NousResearch/hermes-agent/pull/862))
### New Skills
- **Linear** project management ([#1230](https://github.com/NousResearch/hermes-agent/pull/1230))
- **X/Twitter** via x-cli ([#1285](https://github.com/NousResearch/hermes-agent/pull/1285))
- **Telephony** — Twilio, SMS, and AI calls ([#1289](https://github.com/NousResearch/hermes-agent/pull/1289))
- **1Password** — by @arceus77-7 ([#883](https://github.com/NousResearch/hermes-agent/pull/883), [#1179](https://github.com/NousResearch/hermes-agent/pull/1179))
- **NeuroSkill BCI** integration ([#1135](https://github.com/NousResearch/hermes-agent/pull/1135))
- **Blender MCP** for 3D modeling ([#1531](https://github.com/NousResearch/hermes-agent/pull/1531))
- **OSS Security Forensics** ([#1482](https://github.com/NousResearch/hermes-agent/pull/1482))
- **Parallel CLI** research skill ([#1301](https://github.com/NousResearch/hermes-agent/pull/1301))
- **OpenCode** CLI skill ([#1174](https://github.com/NousResearch/hermes-agent/pull/1174))
- **ASCII Video** skill refactored — by @SHL0MS ([#1213](https://github.com/NousResearch/hermes-agent/pull/1213), [#1598](https://github.com/NousResearch/hermes-agent/pull/1598))
---
## 🎙️ Voice Mode
- Voice mode foundation — push-to-talk CLI, Telegram/Discord voice notes ([#1299](https://github.com/NousResearch/hermes-agent/pull/1299))
- Free local Whisper transcription via faster-whisper ([#1185](https://github.com/NousResearch/hermes-agent/pull/1185))
- Discord voice channel reliability fixes ([#1429](https://github.com/NousResearch/hermes-agent/pull/1429))
- Restore local STT fallback for gateway voice notes ([#1490](https://github.com/NousResearch/hermes-agent/pull/1490))
- Honor `stt.enabled: false` across gateway transcription ([#1394](https://github.com/NousResearch/hermes-agent/pull/1394))
- Fix bogus incapability message on Telegram voice notes (Issue [#1033](https://github.com/NousResearch/hermes-agent/issues/1033))
---
## 🔌 ACP (IDE Integration)
- Restore ACP server implementation ([#1254](https://github.com/NousResearch/hermes-agent/pull/1254))
- Support slash commands in ACP adapter ([#1532](https://github.com/NousResearch/hermes-agent/pull/1532))
---
## 🧪 RL Training
- **Agentic On-Policy Distillation (OPD)** environment — new RL training environment for agent policy distillation ([#1149](https://github.com/NousResearch/hermes-agent/pull/1149))
- Make tinker-atropos RL training fully optional ([#1062](https://github.com/NousResearch/hermes-agent/pull/1062))
---
## 🔒 Security & Reliability
### Security Hardening
- **Tirith pre-exec command scanning** — static analysis of terminal commands before execution ([#1256](https://github.com/NousResearch/hermes-agent/pull/1256))
- **PII redaction** when `privacy.redact_pii` is enabled ([#1542](https://github.com/NousResearch/hermes-agent/pull/1542))
- Strip Hermes provider/gateway/tool env vars from all subprocess environments ([#1157](https://github.com/NousResearch/hermes-agent/pull/1157), [#1172](https://github.com/NousResearch/hermes-agent/pull/1172), [#1399](https://github.com/NousResearch/hermes-agent/pull/1399), [#1419](https://github.com/NousResearch/hermes-agent/pull/1419))
- Docker cwd workspace mount now explicit opt-in — never auto-mount host directories ([#1534](https://github.com/NousResearch/hermes-agent/pull/1534))
- Escape parens and braces in fork bomb regex pattern ([#1397](https://github.com/NousResearch/hermes-agent/pull/1397))
- Harden `.worktreeinclude` path containment ([#1388](https://github.com/NousResearch/hermes-agent/pull/1388))
- Use description as `pattern_key` to prevent approval collisions ([#1395](https://github.com/NousResearch/hermes-agent/pull/1395))
### Reliability
- Guard init-time stdio writes ([#1271](https://github.com/NousResearch/hermes-agent/pull/1271))
- Session log writes reuse shared atomic JSON helper ([#1280](https://github.com/NousResearch/hermes-agent/pull/1280))
- Atomic temp cleanup protected on interrupts ([#1401](https://github.com/NousResearch/hermes-agent/pull/1401))
---
## 🐛 Notable Bug Fixes
- **`/status` always showing 0 tokens** — now reports live state (Issue [#1465](https://github.com/NousResearch/hermes-agent/issues/1465), [#1476](https://github.com/NousResearch/hermes-agent/pull/1476))
- **Custom model endpoints not working** — restored config-saved endpoint resolution (Issue [#1460](https://github.com/NousResearch/hermes-agent/issues/1460), [#1373](https://github.com/NousResearch/hermes-agent/pull/1373))
- **MCP tools not visible until restart** — auto-reload on config change (Issue [#1036](https://github.com/NousResearch/hermes-agent/issues/1036), [#1474](https://github.com/NousResearch/hermes-agent/pull/1474))
- **`hermes tools` removing MCP tools** — preserve MCP toolsets when saving (Issue [#1247](https://github.com/NousResearch/hermes-agent/issues/1247), [#1421](https://github.com/NousResearch/hermes-agent/pull/1421))
- **Terminal subprocesses inheriting `OPENAI_BASE_URL`** breaking external tools (Issue [#1002](https://github.com/NousResearch/hermes-agent/issues/1002), [#1399](https://github.com/NousResearch/hermes-agent/pull/1399))
- **Background process lost on gateway restart** — improved recovery (Issue [#1144](https://github.com/NousResearch/hermes-agent/issues/1144))
- **Cron jobs not persisting state** — now stored in SQLite (Issue [#1416](https://github.com/NousResearch/hermes-agent/issues/1416), [#1255](https://github.com/NousResearch/hermes-agent/pull/1255))
- **Cronjob `deliver: origin` not preserving thread context** (Issue [#1219](https://github.com/NousResearch/hermes-agent/issues/1219), [#1437](https://github.com/NousResearch/hermes-agent/pull/1437))
- **Gateway systemd service failing to auto-restart** when browser processes orphaned (Issue [#1617](https://github.com/NousResearch/hermes-agent/issues/1617))
- **`/background` completion report cut off in Telegram** (Issue [#1443](https://github.com/NousResearch/hermes-agent/issues/1443))
- **Model switching not taking effect** (Issue [#1244](https://github.com/NousResearch/hermes-agent/issues/1244), [#1183](https://github.com/NousResearch/hermes-agent/pull/1183))
- **`hermes doctor` reporting cronjob as unavailable** (Issue [#878](https://github.com/NousResearch/hermes-agent/issues/878), [#1180](https://github.com/NousResearch/hermes-agent/pull/1180))
- **WhatsApp bridge messages not received** from mobile (Issue [#1142](https://github.com/NousResearch/hermes-agent/issues/1142))
- **Setup wizard hanging on headless SSH** (Issue [#905](https://github.com/NousResearch/hermes-agent/issues/905), [#1274](https://github.com/NousResearch/hermes-agent/pull/1274))
- **Log handler accumulation** degrading gateway performance (Issue [#990](https://github.com/NousResearch/hermes-agent/issues/990), [#1251](https://github.com/NousResearch/hermes-agent/pull/1251))
- **Gateway NULL model in DB** (Issue [#987](https://github.com/NousResearch/hermes-agent/issues/987), [#1306](https://github.com/NousResearch/hermes-agent/pull/1306))
- **Strict endpoints rejecting replayed tool_calls** (Issue [#893](https://github.com/NousResearch/hermes-agent/issues/893))
- **Remaining hardcoded `~/.hermes` paths** — all now respect `HERMES_HOME` (Issue [#892](https://github.com/NousResearch/hermes-agent/issues/892), [#1233](https://github.com/NousResearch/hermes-agent/pull/1233))
- **Delegate tool not working with custom inference providers** (Issue [#1011](https://github.com/NousResearch/hermes-agent/issues/1011), [#1328](https://github.com/NousResearch/hermes-agent/pull/1328))
- **Skills Guard blocking official skills** (Issue [#1006](https://github.com/NousResearch/hermes-agent/issues/1006), [#1330](https://github.com/NousResearch/hermes-agent/pull/1330))
- **Setup writing provider before model selection** (Issue [#1182](https://github.com/NousResearch/hermes-agent/issues/1182))
- **`GatewayConfig.get()` AttributeError** crashing all message handling (Issue [#1158](https://github.com/NousResearch/hermes-agent/issues/1158), [#1287](https://github.com/NousResearch/hermes-agent/pull/1287))
- **`/update` hard-failing with "command not found"** (Issue [#1049](https://github.com/NousResearch/hermes-agent/issues/1049))
- **Image analysis failing silently** (Issue [#1034](https://github.com/NousResearch/hermes-agent/issues/1034), [#1338](https://github.com/NousResearch/hermes-agent/pull/1338))
- **API `BadRequestError` from `'dict'` object has no attribute `'strip'`** (Issue [#1071](https://github.com/NousResearch/hermes-agent/issues/1071))
- **Slash commands requiring exact full name** — now uses prefix matching (Issue [#928](https://github.com/NousResearch/hermes-agent/issues/928), [#1320](https://github.com/NousResearch/hermes-agent/pull/1320))
- **Gateway stops responding when terminal is closed on headless** (Issue [#1005](https://github.com/NousResearch/hermes-agent/issues/1005))
---
## 🧪 Testing
- Cover empty cached Anthropic tool-call turns ([#1222](https://github.com/NousResearch/hermes-agent/pull/1222))
- Fix stale CI assumptions in parser and quick-command coverage ([#1236](https://github.com/NousResearch/hermes-agent/pull/1236))
- Fix gateway async tests without implicit event loop ([#1278](https://github.com/NousResearch/hermes-agent/pull/1278))
- Make gateway async tests xdist-safe ([#1281](https://github.com/NousResearch/hermes-agent/pull/1281))
- Cross-timezone naive timestamp regression for cron ([#1319](https://github.com/NousResearch/hermes-agent/pull/1319))
- Isolate codex provider tests from local env ([#1335](https://github.com/NousResearch/hermes-agent/pull/1335))
- Lock retry replacement semantics ([#1379](https://github.com/NousResearch/hermes-agent/pull/1379))
- Improve error logging in session search tool — by @aydnOktay ([#1533](https://github.com/NousResearch/hermes-agent/pull/1533))
---
## 📚 Documentation
- Comprehensive SOUL.md guide ([#1315](https://github.com/NousResearch/hermes-agent/pull/1315))
- Voice mode documentation ([#1316](https://github.com/NousResearch/hermes-agent/pull/1316), [#1362](https://github.com/NousResearch/hermes-agent/pull/1362))
- Provider contribution guide ([#1361](https://github.com/NousResearch/hermes-agent/pull/1361))
- ACP and internal systems implementation guides ([#1259](https://github.com/NousResearch/hermes-agent/pull/1259))
- Expand Docusaurus coverage across CLI, tools, skills, and skins ([#1232](https://github.com/NousResearch/hermes-agent/pull/1232))
- Terminal backend and Windows troubleshooting ([#1297](https://github.com/NousResearch/hermes-agent/pull/1297))
- Skills hub reference section ([#1317](https://github.com/NousResearch/hermes-agent/pull/1317))
- Checkpoint, /rollback, and git worktrees guide ([#1493](https://github.com/NousResearch/hermes-agent/pull/1493), [#1524](https://github.com/NousResearch/hermes-agent/pull/1524))
- CLI status bar and /usage reference ([#1523](https://github.com/NousResearch/hermes-agent/pull/1523))
- Fallback providers + /background command docs ([#1430](https://github.com/NousResearch/hermes-agent/pull/1430))
- Gateway service scopes docs ([#1378](https://github.com/NousResearch/hermes-agent/pull/1378))
- Slack thread reply behavior docs ([#1407](https://github.com/NousResearch/hermes-agent/pull/1407))
- Redesigned landing page with Nous blue palette — by @austinpickett ([#974](https://github.com/NousResearch/hermes-agent/pull/974))
- Fix several documentation typos — by @JackTheGit ([#953](https://github.com/NousResearch/hermes-agent/pull/953))
- Stabilize website diagrams ([#1405](https://github.com/NousResearch/hermes-agent/pull/1405))
- CLI vs messaging quick reference in README ([#1491](https://github.com/NousResearch/hermes-agent/pull/1491))
- Add search to Docusaurus ([#1053](https://github.com/NousResearch/hermes-agent/pull/1053))
- Home Assistant integration docs ([#1170](https://github.com/NousResearch/hermes-agent/pull/1170))
---
## 👥 Contributors
### Core
- **@teknium1** — 220+ PRs spanning every area of the codebase
### Top Community Contributors
- **@0xbyt4** (4 PRs) — Anthropic adapter fixes (max_tokens, fallback crash, 429/529 retry), Slack file upload thread context, setup NameError fix
- **@erosika** (1 PR) — Honcho memory integration: async writes, memory modes, session title integration
- **@SHL0MS** (2 PRs) — ASCII video skill design patterns and refactoring
- **@alt-glitch** (2 PRs) — Persistent shell mode for local/SSH backends, setuptools packaging fix
- **@arceus77-7** (2 PRs) — 1Password skill, fix skills list mislabeling
- **@kshitijk4poor** (1 PR) — OpenClaw migration during setup wizard
- **@ASRagab** (1 PR) — Fix adaptive thinking for Claude 4.6 models
- **@eren-karakus0** (1 PR) — Strip Hermes provider env vars from subprocess environment
- **@mr-emmett-one** (1 PR) — Fix DeepSeek V3 parser multi-tool call support
- **@jplew** (1 PR) — Gateway restart on retryable startup failures
- **@brandtcormorant** (1 PR) — Fix Anthropic cache control for empty text blocks
- **@aydnOktay** (1 PR) — Improve error logging in session search tool
- **@austinpickett** (1 PR) — Landing page redesign with Nous blue palette
- **@JackTheGit** (1 PR) — Documentation typo fixes
### All Contributors
@0xbyt4, @alt-glitch, @arceus77-7, @ASRagab, @austinpickett, @aydnOktay, @brandtcormorant, @eren-karakus0, @erosika, @JackTheGit, @jplew, @kshitijk4poor, @mr-emmett-one, @SHL0MS, @teknium1
---
**Full Changelog**: [v2026.3.12...v2026.3.17](https://github.com/NousResearch/hermes-agent/compare/v2026.3.12...v2026.3.17)

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@@ -1,400 +0,0 @@
# Hermes Agent v0.4.0 (v2026.3.23)
**Release Date:** March 23, 2026
> The platform expansion release — OpenAI-compatible API server, 6 new messaging adapters, 4 new inference providers, MCP server management with OAuth 2.1, @ context references, gateway prompt caching, streaming enabled by default, and a sweeping reliability pass with 200+ bug fixes.
---
## ✨ Highlights
- **OpenAI-compatible API server** — Expose Hermes as an `/v1/chat/completions` endpoint with a new `/api/jobs` REST API for cron job management, hardened with input limits, field whitelists, SQLite-backed response persistence, and CORS origin protection ([#1756](https://github.com/NousResearch/hermes-agent/pull/1756), [#2450](https://github.com/NousResearch/hermes-agent/pull/2450), [#2456](https://github.com/NousResearch/hermes-agent/pull/2456), [#2451](https://github.com/NousResearch/hermes-agent/pull/2451), [#2472](https://github.com/NousResearch/hermes-agent/pull/2472))
- **6 new messaging platform adapters** — Signal, DingTalk, SMS (Twilio), Mattermost, Matrix, and Webhook adapters join Telegram, Discord, and WhatsApp. Gateway auto-reconnects failed platforms with exponential backoff ([#2206](https://github.com/NousResearch/hermes-agent/pull/2206), [#1685](https://github.com/NousResearch/hermes-agent/pull/1685), [#1688](https://github.com/NousResearch/hermes-agent/pull/1688), [#1683](https://github.com/NousResearch/hermes-agent/pull/1683), [#2166](https://github.com/NousResearch/hermes-agent/pull/2166), [#2584](https://github.com/NousResearch/hermes-agent/pull/2584))
- **@ context references** — Claude Code-style `@file` and `@url` context injection with tab completions in the CLI ([#2343](https://github.com/NousResearch/hermes-agent/pull/2343), [#2482](https://github.com/NousResearch/hermes-agent/pull/2482))
- **4 new inference providers** — GitHub Copilot (OAuth + token validation), Alibaba Cloud / DashScope, Kilo Code, and OpenCode Zen/Go ([#1924](https://github.com/NousResearch/hermes-agent/pull/1924), [#1879](https://github.com/NousResearch/hermes-agent/pull/1879) by @mchzimm, [#1673](https://github.com/NousResearch/hermes-agent/pull/1673), [#1666](https://github.com/NousResearch/hermes-agent/pull/1666), [#1650](https://github.com/NousResearch/hermes-agent/pull/1650))
- **MCP server management CLI** — `hermes mcp` commands for installing, configuring, and authenticating MCP servers with full OAuth 2.1 PKCE flow ([#2465](https://github.com/NousResearch/hermes-agent/pull/2465))
- **Gateway prompt caching** — Cache AIAgent instances per session, preserving Anthropic prompt cache across turns for dramatic cost reduction on long conversations ([#2282](https://github.com/NousResearch/hermes-agent/pull/2282), [#2284](https://github.com/NousResearch/hermes-agent/pull/2284), [#2361](https://github.com/NousResearch/hermes-agent/pull/2361))
- **Context compression overhaul** — Structured summaries with iterative updates, token-budget tail protection, configurable summary endpoint, and fallback model support ([#2323](https://github.com/NousResearch/hermes-agent/pull/2323), [#1727](https://github.com/NousResearch/hermes-agent/pull/1727), [#2224](https://github.com/NousResearch/hermes-agent/pull/2224))
- **Streaming enabled by default** — CLI streaming on by default with proper spinner/tool progress display during streaming mode, plus extensive linebreak and concatenation fixes ([#2340](https://github.com/NousResearch/hermes-agent/pull/2340), [#2161](https://github.com/NousResearch/hermes-agent/pull/2161), [#2258](https://github.com/NousResearch/hermes-agent/pull/2258))
---
## 🖥️ CLI & User Experience
### New Commands & Interactions
- **@ context completions** — Tab-completable `@file`/`@url` references that inject file content or web pages into the conversation ([#2482](https://github.com/NousResearch/hermes-agent/pull/2482), [#2343](https://github.com/NousResearch/hermes-agent/pull/2343))
- **`/statusbar`** — Toggle a persistent config bar showing model + provider info in the prompt ([#2240](https://github.com/NousResearch/hermes-agent/pull/2240), [#1917](https://github.com/NousResearch/hermes-agent/pull/1917))
- **`/queue`** — Queue prompts for the agent without interrupting the current run ([#2191](https://github.com/NousResearch/hermes-agent/pull/2191), [#2469](https://github.com/NousResearch/hermes-agent/pull/2469))
- **`/permission`** — Switch approval mode dynamically during a session ([#2207](https://github.com/NousResearch/hermes-agent/pull/2207))
- **`/browser`** — Interactive browser sessions from the CLI ([#2273](https://github.com/NousResearch/hermes-agent/pull/2273), [#1814](https://github.com/NousResearch/hermes-agent/pull/1814))
- **`/cost`** — Live pricing and usage tracking in gateway mode ([#2180](https://github.com/NousResearch/hermes-agent/pull/2180))
- **`/approve` and `/deny`** — Replaced bare text approval in gateway with explicit commands ([#2002](https://github.com/NousResearch/hermes-agent/pull/2002))
### Streaming & Display
- Streaming enabled by default in CLI ([#2340](https://github.com/NousResearch/hermes-agent/pull/2340))
- Show spinners and tool progress during streaming mode ([#2161](https://github.com/NousResearch/hermes-agent/pull/2161))
- Show reasoning/thinking blocks when `show_reasoning` enabled ([#2118](https://github.com/NousResearch/hermes-agent/pull/2118))
- Context pressure warnings for CLI and gateway ([#2159](https://github.com/NousResearch/hermes-agent/pull/2159))
- Fix: streaming chunks concatenated without whitespace ([#2258](https://github.com/NousResearch/hermes-agent/pull/2258))
- Fix: iteration boundary linebreak prevents stream concatenation ([#2413](https://github.com/NousResearch/hermes-agent/pull/2413))
- Fix: defer streaming linebreak to prevent blank line stacking ([#2473](https://github.com/NousResearch/hermes-agent/pull/2473))
- Fix: suppress spinner animation in non-TTY environments ([#2216](https://github.com/NousResearch/hermes-agent/pull/2216))
- Fix: display provider and endpoint in API error messages ([#2266](https://github.com/NousResearch/hermes-agent/pull/2266))
- Fix: resolve garbled ANSI escape codes in status printouts ([#2448](https://github.com/NousResearch/hermes-agent/pull/2448))
- Fix: update gold ANSI color to true-color format ([#2246](https://github.com/NousResearch/hermes-agent/pull/2246))
- Fix: normalize toolset labels and use skin colors in banner ([#1912](https://github.com/NousResearch/hermes-agent/pull/1912))
### CLI Polish
- Fix: prevent 'Press ENTER to continue...' on exit ([#2555](https://github.com/NousResearch/hermes-agent/pull/2555))
- Fix: flush stdout during agent loop to prevent macOS display freeze ([#1654](https://github.com/NousResearch/hermes-agent/pull/1654))
- Fix: show human-readable error when `hermes setup` hits permissions error ([#2196](https://github.com/NousResearch/hermes-agent/pull/2196))
- Fix: `/stop` command crash + UnboundLocalError in streaming media delivery ([#2463](https://github.com/NousResearch/hermes-agent/pull/2463))
- Fix: allow custom/local endpoints without API key ([#2556](https://github.com/NousResearch/hermes-agent/pull/2556))
- Fix: Kitty keyboard protocol Shift+Enter for Ghostty/WezTerm (attempted + reverted due to prompt_toolkit crash) ([#2345](https://github.com/NousResearch/hermes-agent/pull/2345), [#2349](https://github.com/NousResearch/hermes-agent/pull/2349))
### Configuration
- **`${ENV_VAR}` substitution** in config.yaml ([#2684](https://github.com/NousResearch/hermes-agent/pull/2684))
- **Real-time config reload** — config.yaml changes apply without restart ([#2210](https://github.com/NousResearch/hermes-agent/pull/2210))
- **`custom_models.yaml`** for user-managed model additions ([#2214](https://github.com/NousResearch/hermes-agent/pull/2214))
- **Priority-based context file selection** + CLAUDE.md support ([#2301](https://github.com/NousResearch/hermes-agent/pull/2301))
- **Merge nested YAML sections** instead of replacing on config update ([#2213](https://github.com/NousResearch/hermes-agent/pull/2213))
- Fix: config.yaml provider key overrides env var silently ([#2272](https://github.com/NousResearch/hermes-agent/pull/2272))
- Fix: log warning instead of silently swallowing config.yaml errors ([#2683](https://github.com/NousResearch/hermes-agent/pull/2683))
- Fix: disabled toolsets re-enable themselves after `hermes tools` ([#2268](https://github.com/NousResearch/hermes-agent/pull/2268))
- Fix: platform default toolsets silently override tool deselection ([#2624](https://github.com/NousResearch/hermes-agent/pull/2624))
- Fix: honor bare YAML `approvals.mode: off` ([#2620](https://github.com/NousResearch/hermes-agent/pull/2620))
- Fix: `hermes update` use `.[all]` extras with fallback ([#1728](https://github.com/NousResearch/hermes-agent/pull/1728))
- Fix: `hermes update` prompt before resetting working tree on stash conflicts ([#2390](https://github.com/NousResearch/hermes-agent/pull/2390))
- Fix: use git pull --rebase in update/install to avoid divergent branch error ([#2274](https://github.com/NousResearch/hermes-agent/pull/2274))
- Fix: add zprofile fallback and create zshrc on fresh macOS installs ([#2320](https://github.com/NousResearch/hermes-agent/pull/2320))
- Fix: remove `ANTHROPIC_BASE_URL` env var to avoid collisions ([#1675](https://github.com/NousResearch/hermes-agent/pull/1675))
- Fix: don't ask IMAP password if already in keyring or env ([#2212](https://github.com/NousResearch/hermes-agent/pull/2212))
- Fix: OpenCode Zen/Go show OpenRouter models instead of their own ([#2277](https://github.com/NousResearch/hermes-agent/pull/2277))
---
## 🏗️ Core Agent & Architecture
### New Providers
- **GitHub Copilot** — Full OAuth auth, API routing, token validation, and 400k context. ([#1924](https://github.com/NousResearch/hermes-agent/pull/1924), [#1896](https://github.com/NousResearch/hermes-agent/pull/1896), [#1879](https://github.com/NousResearch/hermes-agent/pull/1879) by @mchzimm, [#2507](https://github.com/NousResearch/hermes-agent/pull/2507))
- **Alibaba Cloud / DashScope** — Full integration with DashScope v1 runtime, model dot preservation, and 401 auth fixes ([#1673](https://github.com/NousResearch/hermes-agent/pull/1673), [#2332](https://github.com/NousResearch/hermes-agent/pull/2332), [#2459](https://github.com/NousResearch/hermes-agent/pull/2459))
- **Kilo Code** — First-class inference provider ([#1666](https://github.com/NousResearch/hermes-agent/pull/1666))
- **OpenCode Zen and OpenCode Go** — New provider backends ([#1650](https://github.com/NousResearch/hermes-agent/pull/1650), [#2393](https://github.com/NousResearch/hermes-agent/pull/2393) by @0xbyt4)
- **NeuTTS** — Local TTS provider backend with built-in setup flow, replacing the old optional skill ([#1657](https://github.com/NousResearch/hermes-agent/pull/1657), [#1664](https://github.com/NousResearch/hermes-agent/pull/1664))
### Provider Improvements
- **Eager fallback** to backup model on rate-limit errors ([#1730](https://github.com/NousResearch/hermes-agent/pull/1730))
- **Endpoint metadata** for custom model context and pricing; query local servers for actual context window size ([#1906](https://github.com/NousResearch/hermes-agent/pull/1906), [#2091](https://github.com/NousResearch/hermes-agent/pull/2091) by @dusterbloom)
- **Context length detection overhaul** — models.dev integration, provider-aware resolution, fuzzy matching for custom endpoints, `/v1/props` for llama.cpp ([#2158](https://github.com/NousResearch/hermes-agent/pull/2158), [#2051](https://github.com/NousResearch/hermes-agent/pull/2051), [#2403](https://github.com/NousResearch/hermes-agent/pull/2403))
- **Model catalog updates** — gpt-5.4-mini, gpt-5.4-nano, healer-alpha, haiku-4.5, minimax-m2.7, claude 4.6 at 1M context ([#1913](https://github.com/NousResearch/hermes-agent/pull/1913), [#1915](https://github.com/NousResearch/hermes-agent/pull/1915), [#1900](https://github.com/NousResearch/hermes-agent/pull/1900), [#2155](https://github.com/NousResearch/hermes-agent/pull/2155), [#2474](https://github.com/NousResearch/hermes-agent/pull/2474))
- **Custom endpoint improvements** — `model.base_url` in config.yaml, `api_mode` override for responses API, allow endpoints without API key, fail fast on missing keys ([#2330](https://github.com/NousResearch/hermes-agent/pull/2330), [#1651](https://github.com/NousResearch/hermes-agent/pull/1651), [#2556](https://github.com/NousResearch/hermes-agent/pull/2556), [#2445](https://github.com/NousResearch/hermes-agent/pull/2445), [#1994](https://github.com/NousResearch/hermes-agent/pull/1994), [#1998](https://github.com/NousResearch/hermes-agent/pull/1998))
- Inject model and provider into system prompt ([#1929](https://github.com/NousResearch/hermes-agent/pull/1929))
- Tie `api_mode` to provider config instead of env var ([#1656](https://github.com/NousResearch/hermes-agent/pull/1656))
- Fix: prevent Anthropic token leaking to third-party `anthropic_messages` providers ([#2389](https://github.com/NousResearch/hermes-agent/pull/2389))
- Fix: prevent Anthropic fallback from inheriting non-Anthropic `base_url` ([#2388](https://github.com/NousResearch/hermes-agent/pull/2388))
- Fix: `auxiliary_is_nous` flag never resets — leaked Nous tags to other providers ([#1713](https://github.com/NousResearch/hermes-agent/pull/1713))
- Fix: Anthropic `tool_choice 'none'` still allowed tool calls ([#1714](https://github.com/NousResearch/hermes-agent/pull/1714))
- Fix: Mistral parser nested JSON fallback extraction ([#2335](https://github.com/NousResearch/hermes-agent/pull/2335))
- Fix: MiniMax 401 auth resolved by defaulting to `anthropic_messages` ([#2103](https://github.com/NousResearch/hermes-agent/pull/2103))
- Fix: case-insensitive model family matching ([#2350](https://github.com/NousResearch/hermes-agent/pull/2350))
- Fix: ignore placeholder provider keys in activation checks ([#2358](https://github.com/NousResearch/hermes-agent/pull/2358))
- Fix: Preserve Ollama model:tag colons in context length detection ([#2149](https://github.com/NousResearch/hermes-agent/pull/2149))
- Fix: recognize Claude Code OAuth credentials in startup gate ([#1663](https://github.com/NousResearch/hermes-agent/pull/1663))
- Fix: detect Claude Code version dynamically for OAuth user-agent ([#1670](https://github.com/NousResearch/hermes-agent/pull/1670))
- Fix: OAuth flag stale after refresh/fallback ([#1890](https://github.com/NousResearch/hermes-agent/pull/1890))
- Fix: auxiliary client skips expired Codex JWT ([#2397](https://github.com/NousResearch/hermes-agent/pull/2397))
### Agent Loop
- **Gateway prompt caching** — Cache AIAgent per session, keep assistant turns, fix session restore ([#2282](https://github.com/NousResearch/hermes-agent/pull/2282), [#2284](https://github.com/NousResearch/hermes-agent/pull/2284), [#2361](https://github.com/NousResearch/hermes-agent/pull/2361))
- **Context compression overhaul** — Structured summaries, iterative updates, token-budget tail protection, configurable `summary_base_url` ([#2323](https://github.com/NousResearch/hermes-agent/pull/2323), [#1727](https://github.com/NousResearch/hermes-agent/pull/1727), [#2224](https://github.com/NousResearch/hermes-agent/pull/2224))
- **Pre-call sanitization and post-call tool guardrails** ([#1732](https://github.com/NousResearch/hermes-agent/pull/1732))
- **Auto-recover** from provider-rejected `tool_choice` by retrying without ([#2174](https://github.com/NousResearch/hermes-agent/pull/2174))
- **Background memory/skill review** replaces inline nudges ([#2235](https://github.com/NousResearch/hermes-agent/pull/2235))
- **SOUL.md as primary agent identity** instead of hardcoded default ([#1922](https://github.com/NousResearch/hermes-agent/pull/1922))
- Fix: prevent silent tool result loss during context compression ([#1993](https://github.com/NousResearch/hermes-agent/pull/1993))
- Fix: handle empty/null function arguments in tool call recovery ([#2163](https://github.com/NousResearch/hermes-agent/pull/2163))
- Fix: handle API refusal responses gracefully instead of crashing ([#2156](https://github.com/NousResearch/hermes-agent/pull/2156))
- Fix: prevent stuck agent loop on malformed tool calls ([#2114](https://github.com/NousResearch/hermes-agent/pull/2114))
- Fix: return JSON parse error to model instead of dispatching with empty args ([#2342](https://github.com/NousResearch/hermes-agent/pull/2342))
- Fix: consecutive assistant message merge drops content on mixed types ([#1703](https://github.com/NousResearch/hermes-agent/pull/1703))
- Fix: message role alternation violations in JSON recovery and error handler ([#1722](https://github.com/NousResearch/hermes-agent/pull/1722))
- Fix: `compression_attempts` resets each iteration — allowed unlimited compressions ([#1723](https://github.com/NousResearch/hermes-agent/pull/1723))
- Fix: `length_continue_retries` never resets — later truncations got fewer retries ([#1717](https://github.com/NousResearch/hermes-agent/pull/1717))
- Fix: compressor summary role violated consecutive-role constraint ([#1720](https://github.com/NousResearch/hermes-agent/pull/1720), [#1743](https://github.com/NousResearch/hermes-agent/pull/1743))
- Fix: remove hardcoded `gemini-3-flash-preview` as default summary model ([#2464](https://github.com/NousResearch/hermes-agent/pull/2464))
- Fix: correctly handle empty tool results ([#2201](https://github.com/NousResearch/hermes-agent/pull/2201))
- Fix: crash on None entry in `tool_calls` list ([#2209](https://github.com/NousResearch/hermes-agent/pull/2209) by @0xbyt4, [#2316](https://github.com/NousResearch/hermes-agent/pull/2316))
- Fix: per-thread persistent event loops in worker threads ([#2214](https://github.com/NousResearch/hermes-agent/pull/2214) by @jquesnelle)
- Fix: prevent 'event loop already running' when async tools run in parallel ([#2207](https://github.com/NousResearch/hermes-agent/pull/2207))
- Fix: strip ANSI at the source — clean terminal output before it reaches the model ([#2115](https://github.com/NousResearch/hermes-agent/pull/2115))
- Fix: skip top-level `cache_control` on role:tool for OpenRouter ([#2391](https://github.com/NousResearch/hermes-agent/pull/2391))
- Fix: delegate tool — save parent tool names before child construction mutates global ([#2083](https://github.com/NousResearch/hermes-agent/pull/2083) by @ygd58, [#1894](https://github.com/NousResearch/hermes-agent/pull/1894))
- Fix: only strip last assistant message if empty string ([#2326](https://github.com/NousResearch/hermes-agent/pull/2326))
### Session & Memory
- **Session search** and management slash commands ([#2198](https://github.com/NousResearch/hermes-agent/pull/2198))
- **Auto session titles** and `.hermes.md` project config ([#1712](https://github.com/NousResearch/hermes-agent/pull/1712))
- Fix: concurrent memory writes silently drop entries — added file locking ([#1726](https://github.com/NousResearch/hermes-agent/pull/1726))
- Fix: search all sources by default in `session_search` ([#1892](https://github.com/NousResearch/hermes-agent/pull/1892))
- Fix: handle hyphenated FTS5 queries and preserve quoted literals ([#1776](https://github.com/NousResearch/hermes-agent/pull/1776))
- Fix: skip corrupt lines in `load_transcript` instead of crashing ([#1744](https://github.com/NousResearch/hermes-agent/pull/1744))
- Fix: normalize session keys to prevent case-sensitive duplicates ([#2157](https://github.com/NousResearch/hermes-agent/pull/2157))
- Fix: prevent `session_search` crash when no sessions exist ([#2194](https://github.com/NousResearch/hermes-agent/pull/2194))
- Fix: reset token counters on new session for accurate usage display ([#2101](https://github.com/NousResearch/hermes-agent/pull/2101) by @InB4DevOps)
- Fix: prevent stale memory overwrites by flush agent ([#2687](https://github.com/NousResearch/hermes-agent/pull/2687))
- Fix: remove synthetic error message injection, fix session resume after repeated failures ([#2303](https://github.com/NousResearch/hermes-agent/pull/2303))
- Fix: quiet mode with `--resume` now passes conversation_history ([#2357](https://github.com/NousResearch/hermes-agent/pull/2357))
- Fix: unify resume logic in batch mode ([#2331](https://github.com/NousResearch/hermes-agent/pull/2331))
### Honcho Memory
- Honcho config fixes and @ context reference integration ([#2343](https://github.com/NousResearch/hermes-agent/pull/2343))
- Self-hosted / Docker configuration documentation ([#2475](https://github.com/NousResearch/hermes-agent/pull/2475))
---
## 📱 Messaging Platforms (Gateway)
### New Platform Adapters
- **Signal Messenger** — Full adapter with attachment handling, group message filtering, and Note to Self echo-back protection ([#2206](https://github.com/NousResearch/hermes-agent/pull/2206), [#2400](https://github.com/NousResearch/hermes-agent/pull/2400), [#2297](https://github.com/NousResearch/hermes-agent/pull/2297), [#2156](https://github.com/NousResearch/hermes-agent/pull/2156))
- **DingTalk** — Adapter with gateway wiring and setup docs ([#1685](https://github.com/NousResearch/hermes-agent/pull/1685), [#1690](https://github.com/NousResearch/hermes-agent/pull/1690), [#1692](https://github.com/NousResearch/hermes-agent/pull/1692))
- **SMS (Twilio)** ([#1688](https://github.com/NousResearch/hermes-agent/pull/1688))
- **Mattermost** — With @-mention-only channel filter ([#1683](https://github.com/NousResearch/hermes-agent/pull/1683), [#2443](https://github.com/NousResearch/hermes-agent/pull/2443))
- **Matrix** — With vision support and image caching ([#1683](https://github.com/NousResearch/hermes-agent/pull/1683), [#2520](https://github.com/NousResearch/hermes-agent/pull/2520))
- **Webhook** — Platform adapter for external event triggers ([#2166](https://github.com/NousResearch/hermes-agent/pull/2166))
- **OpenAI-compatible API server** — `/v1/chat/completions` endpoint with `/api/jobs` cron management ([#1756](https://github.com/NousResearch/hermes-agent/pull/1756), [#2450](https://github.com/NousResearch/hermes-agent/pull/2450), [#2456](https://github.com/NousResearch/hermes-agent/pull/2456))
### Telegram Improvements
- MarkdownV2 support — strikethrough, spoiler, blockquotes, escape parentheses/braces/backslashes/backticks ([#2199](https://github.com/NousResearch/hermes-agent/pull/2199), [#2200](https://github.com/NousResearch/hermes-agent/pull/2200) by @llbn, [#2386](https://github.com/NousResearch/hermes-agent/pull/2386))
- Auto-detect HTML tags and use `parse_mode=HTML` ([#1709](https://github.com/NousResearch/hermes-agent/pull/1709))
- Telegram group vision support + thread-based sessions ([#2153](https://github.com/NousResearch/hermes-agent/pull/2153))
- Auto-reconnect polling after network interruption ([#2517](https://github.com/NousResearch/hermes-agent/pull/2517))
- Aggregate split text messages before dispatching ([#1674](https://github.com/NousResearch/hermes-agent/pull/1674))
- Fix: streaming config bridge, not-modified, flood control ([#1782](https://github.com/NousResearch/hermes-agent/pull/1782), [#1783](https://github.com/NousResearch/hermes-agent/pull/1783))
- Fix: edited_message event crashes ([#2074](https://github.com/NousResearch/hermes-agent/pull/2074))
- Fix: retry 409 polling conflicts before giving up ([#2312](https://github.com/NousResearch/hermes-agent/pull/2312))
- Fix: topic delivery via `platform:chat_id:thread_id` format ([#2455](https://github.com/NousResearch/hermes-agent/pull/2455))
### Discord Improvements
- Document caching and text-file injection ([#2503](https://github.com/NousResearch/hermes-agent/pull/2503))
- Persistent typing indicator for DMs ([#2468](https://github.com/NousResearch/hermes-agent/pull/2468))
- Discord DM vision — inline images + attachment analysis ([#2186](https://github.com/NousResearch/hermes-agent/pull/2186))
- Persist thread participation across gateway restarts ([#1661](https://github.com/NousResearch/hermes-agent/pull/1661))
- Fix: gateway crash on non-ASCII guild names ([#2302](https://github.com/NousResearch/hermes-agent/pull/2302))
- Fix: thread permission errors ([#2073](https://github.com/NousResearch/hermes-agent/pull/2073))
- Fix: slash event routing in threads ([#2460](https://github.com/NousResearch/hermes-agent/pull/2460))
- Fix: remove bugged followup messages + `/ask` command ([#1836](https://github.com/NousResearch/hermes-agent/pull/1836))
- Fix: graceful WebSocket reconnection ([#2127](https://github.com/NousResearch/hermes-agent/pull/2127))
- Fix: voice channel TTS when streaming enabled ([#2322](https://github.com/NousResearch/hermes-agent/pull/2322))
### WhatsApp & Other Adapters
- WhatsApp: outbound `send_message` routing ([#1769](https://github.com/NousResearch/hermes-agent/pull/1769) by @sai-samarth), LID format self-chat ([#1667](https://github.com/NousResearch/hermes-agent/pull/1667)), `reply_prefix` config fix ([#1923](https://github.com/NousResearch/hermes-agent/pull/1923)), restart on bridge child exit ([#2334](https://github.com/NousResearch/hermes-agent/pull/2334)), image/bridge improvements ([#2181](https://github.com/NousResearch/hermes-agent/pull/2181))
- Matrix: correct `reply_to_message_id` parameter ([#1895](https://github.com/NousResearch/hermes-agent/pull/1895)), bare media types fix ([#1736](https://github.com/NousResearch/hermes-agent/pull/1736))
- Mattermost: MIME types for media attachments ([#2329](https://github.com/NousResearch/hermes-agent/pull/2329))
### Gateway Core
- **Auto-reconnect** failed platforms with exponential backoff ([#2584](https://github.com/NousResearch/hermes-agent/pull/2584))
- **Notify users when session auto-resets** ([#2519](https://github.com/NousResearch/hermes-agent/pull/2519))
- **Reply-to message context** for out-of-session replies ([#1662](https://github.com/NousResearch/hermes-agent/pull/1662))
- **Ignore unauthorized DMs** config option ([#1919](https://github.com/NousResearch/hermes-agent/pull/1919))
- Fix: `/reset` in thread-mode resets global session instead of thread ([#2254](https://github.com/NousResearch/hermes-agent/pull/2254))
- Fix: deliver MEDIA: files after streaming responses ([#2382](https://github.com/NousResearch/hermes-agent/pull/2382))
- Fix: cap interrupt recursion depth to prevent resource exhaustion ([#1659](https://github.com/NousResearch/hermes-agent/pull/1659))
- Fix: detect stopped processes and release stale locks on `--replace` ([#2406](https://github.com/NousResearch/hermes-agent/pull/2406), [#1908](https://github.com/NousResearch/hermes-agent/pull/1908))
- Fix: PID-based wait with force-kill for gateway restart ([#1902](https://github.com/NousResearch/hermes-agent/pull/1902))
- Fix: prevent `--replace` mode from killing the caller process ([#2185](https://github.com/NousResearch/hermes-agent/pull/2185))
- Fix: `/model` shows active fallback model instead of config default ([#1660](https://github.com/NousResearch/hermes-agent/pull/1660))
- Fix: `/title` command fails when session doesn't exist in SQLite yet ([#2379](https://github.com/NousResearch/hermes-agent/pull/2379) by @ten-jampa)
- Fix: process `/queue`'d messages after agent completion ([#2469](https://github.com/NousResearch/hermes-agent/pull/2469))
- Fix: strip orphaned `tool_results` + let `/reset` bypass running agent ([#2180](https://github.com/NousResearch/hermes-agent/pull/2180))
- Fix: prevent agents from starting gateway outside systemd management ([#2617](https://github.com/NousResearch/hermes-agent/pull/2617))
- Fix: prevent systemd restart storm on gateway connection failure ([#2327](https://github.com/NousResearch/hermes-agent/pull/2327))
- Fix: include resolved node path in systemd unit ([#1767](https://github.com/NousResearch/hermes-agent/pull/1767) by @sai-samarth)
- Fix: send error details to user in gateway outer exception handler ([#1966](https://github.com/NousResearch/hermes-agent/pull/1966))
- Fix: improve error handling for 429 usage limits and 500 context overflow ([#1839](https://github.com/NousResearch/hermes-agent/pull/1839))
- Fix: add all missing platform allowlist env vars to startup warning check ([#2628](https://github.com/NousResearch/hermes-agent/pull/2628))
- Fix: media delivery fails for file paths containing spaces ([#2621](https://github.com/NousResearch/hermes-agent/pull/2621))
- Fix: duplicate session-key collision in multi-platform gateway ([#2171](https://github.com/NousResearch/hermes-agent/pull/2171))
- Fix: Matrix and Mattermost never report as connected ([#1711](https://github.com/NousResearch/hermes-agent/pull/1711))
- Fix: PII redaction config never read — missing yaml import ([#1701](https://github.com/NousResearch/hermes-agent/pull/1701))
- Fix: NameError on skill slash commands ([#1697](https://github.com/NousResearch/hermes-agent/pull/1697))
- Fix: persist watcher metadata in checkpoint for crash recovery ([#1706](https://github.com/NousResearch/hermes-agent/pull/1706))
- Fix: pass `message_thread_id` in send_image_file, send_document, send_video ([#2339](https://github.com/NousResearch/hermes-agent/pull/2339))
- Fix: media-group aggregation on rapid successive photo messages ([#2160](https://github.com/NousResearch/hermes-agent/pull/2160))
---
## 🔧 Tool System
### MCP Enhancements
- **MCP server management CLI** + OAuth 2.1 PKCE auth ([#2465](https://github.com/NousResearch/hermes-agent/pull/2465))
- **Expose MCP servers as standalone toolsets** ([#1907](https://github.com/NousResearch/hermes-agent/pull/1907))
- **Interactive MCP tool configuration** in `hermes tools` ([#1694](https://github.com/NousResearch/hermes-agent/pull/1694))
- Fix: MCP-OAuth port mismatch, path traversal, and shared handler state ([#2552](https://github.com/NousResearch/hermes-agent/pull/2552))
- Fix: preserve MCP tool registrations across session resets ([#2124](https://github.com/NousResearch/hermes-agent/pull/2124))
- Fix: concurrent file access crash + duplicate MCP registration ([#2154](https://github.com/NousResearch/hermes-agent/pull/2154))
- Fix: normalise MCP schemas + expand session list columns ([#2102](https://github.com/NousResearch/hermes-agent/pull/2102))
- Fix: `tool_choice` `mcp_` prefix handling ([#1775](https://github.com/NousResearch/hermes-agent/pull/1775))
### Web Tool Backends
- **Tavily** as web search/extract/crawl backend ([#1731](https://github.com/NousResearch/hermes-agent/pull/1731))
- **Parallel** as alternative web search/extract backend ([#1696](https://github.com/NousResearch/hermes-agent/pull/1696))
- **Configurable web backend** — Firecrawl/BeautifulSoup/Playwright selection ([#2256](https://github.com/NousResearch/hermes-agent/pull/2256))
- Fix: whitespace-only env vars bypass web backend detection ([#2341](https://github.com/NousResearch/hermes-agent/pull/2341))
### New Tools
- **IMAP email** reading and sending ([#2173](https://github.com/NousResearch/hermes-agent/pull/2173))
- **STT (speech-to-text)** tool using Whisper API ([#2072](https://github.com/NousResearch/hermes-agent/pull/2072))
- **Route-aware pricing estimates** ([#1695](https://github.com/NousResearch/hermes-agent/pull/1695))
### Tool Improvements
- TTS: `base_url` support for OpenAI TTS provider ([#2064](https://github.com/NousResearch/hermes-agent/pull/2064) by @hanai)
- Vision: configurable timeout, tilde expansion in file paths, DM vision with multi-image and base64 fallback ([#2480](https://github.com/NousResearch/hermes-agent/pull/2480), [#2585](https://github.com/NousResearch/hermes-agent/pull/2585), [#2211](https://github.com/NousResearch/hermes-agent/pull/2211))
- Browser: race condition fix in session creation ([#1721](https://github.com/NousResearch/hermes-agent/pull/1721)), TypeError on unexpected LLM params ([#1735](https://github.com/NousResearch/hermes-agent/pull/1735))
- File tools: strip ANSI escape codes from write_file and patch content ([#2532](https://github.com/NousResearch/hermes-agent/pull/2532)), include pagination args in repeated search key ([#1824](https://github.com/NousResearch/hermes-agent/pull/1824) by @cutepawss), improve fuzzy matching accuracy + position calculation refactor ([#2096](https://github.com/NousResearch/hermes-agent/pull/2096), [#1681](https://github.com/NousResearch/hermes-agent/pull/1681))
- Code execution: resource leak and double socket close fix ([#2381](https://github.com/NousResearch/hermes-agent/pull/2381))
- Delegate: thread safety for concurrent subagent delegation ([#1672](https://github.com/NousResearch/hermes-agent/pull/1672)), preserve parent agent's tool list after delegation ([#1778](https://github.com/NousResearch/hermes-agent/pull/1778))
- Fix: make concurrent tool batching path-aware for file mutations ([#1914](https://github.com/NousResearch/hermes-agent/pull/1914))
- Fix: chunk long messages in `send_message_tool` before platform dispatch ([#1646](https://github.com/NousResearch/hermes-agent/pull/1646))
- Fix: add missing 'messaging' toolset ([#1718](https://github.com/NousResearch/hermes-agent/pull/1718))
- Fix: prevent unavailable tool names from leaking into model schemas ([#2072](https://github.com/NousResearch/hermes-agent/pull/2072))
- Fix: pass visited set by reference to prevent diamond dependency duplication ([#2311](https://github.com/NousResearch/hermes-agent/pull/2311))
- Fix: Daytona sandbox lookup migrated from `find_one` to `get/list` ([#2063](https://github.com/NousResearch/hermes-agent/pull/2063) by @rovle)
---
## 🧩 Skills Ecosystem
### Skills System Improvements
- **Agent-created skills** — Caution-level findings allowed, dangerous skills ask instead of block ([#1840](https://github.com/NousResearch/hermes-agent/pull/1840), [#2446](https://github.com/NousResearch/hermes-agent/pull/2446))
- **`--yes` flag** to bypass confirmation in `/skills install` and uninstall ([#1647](https://github.com/NousResearch/hermes-agent/pull/1647))
- **Disabled skills respected** across banner, system prompt, and slash commands ([#1897](https://github.com/NousResearch/hermes-agent/pull/1897))
- Fix: skills custom_tools import crash + sandbox file_tools integration ([#2239](https://github.com/NousResearch/hermes-agent/pull/2239))
- Fix: agent-created skills with pip requirements crash on install ([#2145](https://github.com/NousResearch/hermes-agent/pull/2145))
- Fix: race condition in `Skills.__init__` when `hub.yaml` missing ([#2242](https://github.com/NousResearch/hermes-agent/pull/2242))
- Fix: validate skill metadata before install and block duplicates ([#2241](https://github.com/NousResearch/hermes-agent/pull/2241))
- Fix: skills hub inspect/resolve — 4 bugs in inspect, redirects, discovery, tap list ([#2447](https://github.com/NousResearch/hermes-agent/pull/2447))
- Fix: agent-created skills keep working after session reset ([#2121](https://github.com/NousResearch/hermes-agent/pull/2121))
### New Skills
- **OCR-and-documents** — PDF/DOCX/XLS/PPTX/image OCR with optional GPU ([#2236](https://github.com/NousResearch/hermes-agent/pull/2236), [#2461](https://github.com/NousResearch/hermes-agent/pull/2461))
- **Huggingface-hub** bundled skill ([#1921](https://github.com/NousResearch/hermes-agent/pull/1921))
- **Sherlock OSINT** username search ([#1671](https://github.com/NousResearch/hermes-agent/pull/1671))
- **Meme-generation** — Image generator with Pillow ([#2344](https://github.com/NousResearch/hermes-agent/pull/2344))
- **Bioinformatics** gateway skill — index to 400+ bio skills ([#2387](https://github.com/NousResearch/hermes-agent/pull/2387))
- **Inference.sh** skill (terminal-based) ([#1686](https://github.com/NousResearch/hermes-agent/pull/1686))
- **Base blockchain** optional skill ([#1643](https://github.com/NousResearch/hermes-agent/pull/1643))
- **3D-model-viewer** optional skill ([#2226](https://github.com/NousResearch/hermes-agent/pull/2226))
- **FastMCP** optional skill ([#2113](https://github.com/NousResearch/hermes-agent/pull/2113))
- **Hermes-agent-setup** skill ([#1905](https://github.com/NousResearch/hermes-agent/pull/1905))
---
## 🔌 Plugin System Enhancements
- **TUI extension hooks** — Build custom CLIs on top of Hermes ([#2333](https://github.com/NousResearch/hermes-agent/pull/2333))
- **`hermes plugins install/remove/list`** commands ([#2337](https://github.com/NousResearch/hermes-agent/pull/2337))
- **Slash command registration** for plugins ([#2359](https://github.com/NousResearch/hermes-agent/pull/2359))
- **`session:end` lifecycle event** hook ([#1725](https://github.com/NousResearch/hermes-agent/pull/1725))
- Fix: require opt-in for project plugin discovery ([#2215](https://github.com/NousResearch/hermes-agent/pull/2215))
---
## 🔒 Security & Reliability
### Security
- **SSRF protection** for vision_tools and web_tools ([#2679](https://github.com/NousResearch/hermes-agent/pull/2679))
- **Shell injection prevention** in `_expand_path` via `~user` path suffix ([#2685](https://github.com/NousResearch/hermes-agent/pull/2685))
- **Block untrusted browser-origin** API server access ([#2451](https://github.com/NousResearch/hermes-agent/pull/2451))
- **Block sandbox backend creds** from subprocess env ([#1658](https://github.com/NousResearch/hermes-agent/pull/1658))
- **Block @ references** from reading secrets outside workspace ([#2601](https://github.com/NousResearch/hermes-agent/pull/2601) by @Gutslabs)
- **Malicious code pattern pre-exec scanner** for terminal_tool ([#2245](https://github.com/NousResearch/hermes-agent/pull/2245))
- **Harden terminal safety** and sandbox file writes ([#1653](https://github.com/NousResearch/hermes-agent/pull/1653))
- **PKCE verifier leak** fix + OAuth refresh Content-Type ([#1775](https://github.com/NousResearch/hermes-agent/pull/1775))
- **Eliminate SQL string formatting** in `execute()` calls ([#2061](https://github.com/NousResearch/hermes-agent/pull/2061) by @dusterbloom)
- **Harden jobs API** — input limits, field whitelist, startup check ([#2456](https://github.com/NousResearch/hermes-agent/pull/2456))
### Reliability
- Thread locks on 4 SessionDB methods ([#1704](https://github.com/NousResearch/hermes-agent/pull/1704))
- File locking for concurrent memory writes ([#1726](https://github.com/NousResearch/hermes-agent/pull/1726))
- Handle OpenRouter errors gracefully ([#2112](https://github.com/NousResearch/hermes-agent/pull/2112))
- Guard print() calls against OSError ([#1668](https://github.com/NousResearch/hermes-agent/pull/1668))
- Safely handle non-string inputs in redacting formatter ([#2392](https://github.com/NousResearch/hermes-agent/pull/2392), [#1700](https://github.com/NousResearch/hermes-agent/pull/1700))
- ACP: preserve session provider on model switch, persist sessions to disk ([#2380](https://github.com/NousResearch/hermes-agent/pull/2380), [#2071](https://github.com/NousResearch/hermes-agent/pull/2071))
- API server: persist ResponseStore to SQLite across restarts ([#2472](https://github.com/NousResearch/hermes-agent/pull/2472))
- Fix: `fetch_nous_models` always TypeError from positional args ([#1699](https://github.com/NousResearch/hermes-agent/pull/1699))
- Fix: resolve merge conflict markers in cli.py breaking startup ([#2347](https://github.com/NousResearch/hermes-agent/pull/2347))
- Fix: `minisweagent_path.py` missing from wheel ([#2098](https://github.com/NousResearch/hermes-agent/pull/2098) by @JiwaniZakir)
### Cron System
- **`[SILENT]` response** — cron agents can suppress delivery ([#1833](https://github.com/NousResearch/hermes-agent/pull/1833))
- **Scale missed-job grace window** with schedule frequency ([#2449](https://github.com/NousResearch/hermes-agent/pull/2449))
- **Recover recent one-shot jobs** ([#1918](https://github.com/NousResearch/hermes-agent/pull/1918))
- Fix: normalize `repeat<=0` to None — jobs deleted after first run when LLM passes -1 ([#2612](https://github.com/NousResearch/hermes-agent/pull/2612) by @Mibayy)
- Fix: Matrix added to scheduler delivery platform_map ([#2167](https://github.com/NousResearch/hermes-agent/pull/2167) by @buntingszn)
- Fix: naive ISO timestamps without timezone — jobs fire at wrong time ([#1729](https://github.com/NousResearch/hermes-agent/pull/1729))
- Fix: `get_due_jobs` reads `jobs.json` twice — race condition ([#1716](https://github.com/NousResearch/hermes-agent/pull/1716))
- Fix: silent jobs return empty response for delivery skip ([#2442](https://github.com/NousResearch/hermes-agent/pull/2442))
- Fix: stop injecting cron outputs into gateway session history ([#2313](https://github.com/NousResearch/hermes-agent/pull/2313))
- Fix: close abandoned coroutine when `asyncio.run()` raises RuntimeError ([#2317](https://github.com/NousResearch/hermes-agent/pull/2317))
---
## 🧪 Testing
- Resolve all consistently failing tests ([#2488](https://github.com/NousResearch/hermes-agent/pull/2488))
- Replace `FakePath` with `monkeypatch` for Python 3.12 compat ([#2444](https://github.com/NousResearch/hermes-agent/pull/2444))
- Align Hermes setup and full-suite expectations ([#1710](https://github.com/NousResearch/hermes-agent/pull/1710))
---
## 📚 Documentation
- Comprehensive docs update for recent features ([#1693](https://github.com/NousResearch/hermes-agent/pull/1693), [#2183](https://github.com/NousResearch/hermes-agent/pull/2183))
- Alibaba Cloud and DingTalk setup guides ([#1687](https://github.com/NousResearch/hermes-agent/pull/1687), [#1692](https://github.com/NousResearch/hermes-agent/pull/1692))
- Detailed skills documentation ([#2244](https://github.com/NousResearch/hermes-agent/pull/2244))
- Honcho self-hosted / Docker configuration ([#2475](https://github.com/NousResearch/hermes-agent/pull/2475))
- Context length detection FAQ and quickstart references ([#2179](https://github.com/NousResearch/hermes-agent/pull/2179))
- Fix docs inconsistencies across reference and user guides ([#1995](https://github.com/NousResearch/hermes-agent/pull/1995))
- Fix MCP install commands — use uv, not bare pip ([#1909](https://github.com/NousResearch/hermes-agent/pull/1909))
- Replace ASCII diagrams with Mermaid/lists ([#2402](https://github.com/NousResearch/hermes-agent/pull/2402))
- Gemini OAuth provider implementation plan ([#2467](https://github.com/NousResearch/hermes-agent/pull/2467))
- Discord Server Members Intent marked as required ([#2330](https://github.com/NousResearch/hermes-agent/pull/2330))
- Fix MDX build error in api-server.md ([#1787](https://github.com/NousResearch/hermes-agent/pull/1787))
- Align venv path to match installer ([#2114](https://github.com/NousResearch/hermes-agent/pull/2114))
- New skills added to hub index ([#2281](https://github.com/NousResearch/hermes-agent/pull/2281))
---
## 👥 Contributors
### Core
- **@teknium1** (Teknium) — 280 PRs
### Community Contributors
- **@mchzimm** (to_the_max) — GitHub Copilot provider integration ([#1879](https://github.com/NousResearch/hermes-agent/pull/1879))
- **@jquesnelle** (Jeffrey Quesnelle) — Per-thread persistent event loops fix ([#2214](https://github.com/NousResearch/hermes-agent/pull/2214))
- **@llbn** (lbn) — Telegram MarkdownV2 strikethrough, spoiler, blockquotes, and escape fixes ([#2199](https://github.com/NousResearch/hermes-agent/pull/2199), [#2200](https://github.com/NousResearch/hermes-agent/pull/2200))
- **@dusterbloom** — SQL injection prevention + local server context window querying ([#2061](https://github.com/NousResearch/hermes-agent/pull/2061), [#2091](https://github.com/NousResearch/hermes-agent/pull/2091))
- **@0xbyt4** — Anthropic tool_calls None guard + OpenCode-Go provider config fix ([#2209](https://github.com/NousResearch/hermes-agent/pull/2209), [#2393](https://github.com/NousResearch/hermes-agent/pull/2393))
- **@sai-samarth** (Saisamarth) — WhatsApp send_message routing + systemd node path ([#1769](https://github.com/NousResearch/hermes-agent/pull/1769), [#1767](https://github.com/NousResearch/hermes-agent/pull/1767))
- **@Gutslabs** (Guts) — Block @ references from reading secrets ([#2601](https://github.com/NousResearch/hermes-agent/pull/2601))
- **@Mibayy** (Mibay) — Cron job repeat normalization ([#2612](https://github.com/NousResearch/hermes-agent/pull/2612))
- **@ten-jampa** (Tenzin Jampa) — Gateway /title command fix ([#2379](https://github.com/NousResearch/hermes-agent/pull/2379))
- **@cutepawss** (lila) — File tools search pagination fix ([#1824](https://github.com/NousResearch/hermes-agent/pull/1824))
- **@hanai** (Hanai) — OpenAI TTS base_url support ([#2064](https://github.com/NousResearch/hermes-agent/pull/2064))
- **@rovle** (Lovre Pešut) — Daytona sandbox API migration ([#2063](https://github.com/NousResearch/hermes-agent/pull/2063))
- **@buntingszn** (bunting szn) — Matrix cron delivery support ([#2167](https://github.com/NousResearch/hermes-agent/pull/2167))
- **@InB4DevOps** — Token counter reset on new session ([#2101](https://github.com/NousResearch/hermes-agent/pull/2101))
- **@JiwaniZakir** (Zakir Jiwani) — Missing file in wheel fix ([#2098](https://github.com/NousResearch/hermes-agent/pull/2098))
- **@ygd58** (buray) — Delegate tool parent tool names fix ([#2083](https://github.com/NousResearch/hermes-agent/pull/2083))
---
**Full Changelog**: [v2026.3.17...v2026.3.23](https://github.com/NousResearch/hermes-agent/compare/v2026.3.17...v2026.3.23)

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# Hermes Agent v0.5.0 (v2026.3.28)
**Release Date:** March 28, 2026
> The hardening release — Hugging Face provider, /model command overhaul, Telegram Private Chat Topics, native Modal SDK, plugin lifecycle hooks, tool-use enforcement for GPT models, Nix flake, 50+ security and reliability fixes, and a comprehensive supply chain audit.
---
## ✨ Highlights
- **Nous Portal now supports 400+ models** — The Nous Research inference portal has expanded dramatically, giving Hermes Agent users access to over 400 models through a single provider endpoint
- **Hugging Face as a first-class inference provider** — Full integration with HF Inference API including curated agentic model picker that maps to OpenRouter analogues, live `/models` endpoint probe, and setup wizard flow ([#3419](https://github.com/NousResearch/hermes-agent/pull/3419), [#3440](https://github.com/NousResearch/hermes-agent/pull/3440))
- **Telegram Private Chat Topics** — Project-based conversations with functional skill binding per topic, enabling isolated workflows within a single Telegram chat ([#3163](https://github.com/NousResearch/hermes-agent/pull/3163))
- **Native Modal SDK backend** — Replaced swe-rex dependency with native Modal SDK (`Sandbox.create.aio` + `exec.aio`), eliminating tunnels and simplifying the Modal terminal backend ([#3538](https://github.com/NousResearch/hermes-agent/pull/3538))
- **Plugin lifecycle hooks activated** — `pre_llm_call`, `post_llm_call`, `on_session_start`, and `on_session_end` hooks now fire in the agent loop and CLI/gateway, completing the plugin hook system ([#3542](https://github.com/NousResearch/hermes-agent/pull/3542))
- **Improved OpenAI Model Reliability** — Added `GPT_TOOL_USE_GUIDANCE` to prevent GPT models from describing intended actions instead of making tool calls, plus automatic stripping of stale budget warnings from conversation history that caused models to avoid tools across turns ([#3528](https://github.com/NousResearch/hermes-agent/pull/3528))
- **Nix flake** — Full uv2nix build, NixOS module with persistent container mode, auto-generated config keys from Python source, and suffix PATHs for agent-friendliness ([#20](https://github.com/NousResearch/hermes-agent/pull/20), [#3274](https://github.com/NousResearch/hermes-agent/pull/3274), [#3061](https://github.com/NousResearch/hermes-agent/pull/3061)) by @alt-glitch
- **Supply chain hardening** — Removed compromised `litellm` dependency, pinned all dependency version ranges, regenerated `uv.lock` with hashes, added CI workflow scanning PRs for supply chain attack patterns, and bumped deps to fix CVEs ([#2796](https://github.com/NousResearch/hermes-agent/pull/2796), [#2810](https://github.com/NousResearch/hermes-agent/pull/2810), [#2812](https://github.com/NousResearch/hermes-agent/pull/2812), [#2816](https://github.com/NousResearch/hermes-agent/pull/2816), [#3073](https://github.com/NousResearch/hermes-agent/pull/3073))
- **Anthropic output limits fix** — Replaced hardcoded 16K `max_tokens` with per-model native output limits (128K for Opus 4.6, 64K for Sonnet 4.6), fixing "Response truncated" and thinking-budget exhaustion on direct Anthropic API ([#3426](https://github.com/NousResearch/hermes-agent/pull/3426), [#3444](https://github.com/NousResearch/hermes-agent/pull/3444))
---
## 🏗️ Core Agent & Architecture
### New Provider: Hugging Face
- First-class Hugging Face Inference API integration with auth, setup wizard, and model picker ([#3419](https://github.com/NousResearch/hermes-agent/pull/3419))
- Curated model list mapping OpenRouter agentic defaults to HF equivalents — providers with 8+ curated models skip live `/models` probe for speed ([#3440](https://github.com/NousResearch/hermes-agent/pull/3440))
- Added glm-5-turbo to Z.AI provider model list ([#3095](https://github.com/NousResearch/hermes-agent/pull/3095))
### Provider & Model Improvements
- `/model` command overhaul — extracted shared `switch_model()` pipeline for CLI and gateway, custom endpoint support, provider-aware routing ([#2795](https://github.com/NousResearch/hermes-agent/pull/2795), [#2799](https://github.com/NousResearch/hermes-agent/pull/2799))
- Removed `/model` slash command from CLI and gateway in favor of `hermes model` subcommand ([#3080](https://github.com/NousResearch/hermes-agent/pull/3080))
- Preserve `custom` provider instead of silently remapping to `openrouter` ([#2792](https://github.com/NousResearch/hermes-agent/pull/2792))
- Read root-level `provider` and `base_url` from config.yaml into model config ([#3112](https://github.com/NousResearch/hermes-agent/pull/3112))
- Align Nous Portal model slugs with OpenRouter naming ([#3253](https://github.com/NousResearch/hermes-agent/pull/3253))
- Fix Alibaba provider default endpoint and model list ([#3484](https://github.com/NousResearch/hermes-agent/pull/3484))
- Allow MiniMax users to override `/v1``/anthropic` auto-correction ([#3553](https://github.com/NousResearch/hermes-agent/pull/3553))
- Migrate OAuth token refresh to `platform.claude.com` with fallback ([#3246](https://github.com/NousResearch/hermes-agent/pull/3246))
### Agent Loop & Conversation
- **Improved OpenAI model reliability** — `GPT_TOOL_USE_GUIDANCE` prevents GPT models from describing actions instead of calling tools + automatic budget warning stripping from history ([#3528](https://github.com/NousResearch/hermes-agent/pull/3528))
- **Surface lifecycle events** — All retry, fallback, and compression events now surface to the user as formatted messages ([#3153](https://github.com/NousResearch/hermes-agent/pull/3153))
- **Anthropic output limits** — Per-model native output limits instead of hardcoded 16K `max_tokens` ([#3426](https://github.com/NousResearch/hermes-agent/pull/3426))
- **Thinking-budget exhaustion detection** — Skip useless continuation retries when model uses all output tokens on reasoning ([#3444](https://github.com/NousResearch/hermes-agent/pull/3444))
- Always prefer streaming for API calls to prevent hung subagents ([#3120](https://github.com/NousResearch/hermes-agent/pull/3120))
- Restore safe non-streaming fallback after stream failures ([#3020](https://github.com/NousResearch/hermes-agent/pull/3020))
- Give subagents independent iteration budgets ([#3004](https://github.com/NousResearch/hermes-agent/pull/3004))
- Update `api_key` in `_try_activate_fallback` for subagent auth ([#3103](https://github.com/NousResearch/hermes-agent/pull/3103))
- Graceful return on max retries instead of crashing thread ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Count compression restarts toward retry limit ([#3070](https://github.com/NousResearch/hermes-agent/pull/3070))
- Include tool tokens in preflight estimate, guard context probe persistence ([#3164](https://github.com/NousResearch/hermes-agent/pull/3164))
- Update context compressor limits after fallback activation ([#3305](https://github.com/NousResearch/hermes-agent/pull/3305))
- Validate empty user messages to prevent Anthropic API 400 errors ([#3322](https://github.com/NousResearch/hermes-agent/pull/3322))
- GLM reasoning-only and max-length handling ([#3010](https://github.com/NousResearch/hermes-agent/pull/3010))
- Increase API timeout default from 900s to 1800s for slow-thinking models ([#3431](https://github.com/NousResearch/hermes-agent/pull/3431))
- Send `max_tokens` for Claude/OpenRouter + retry SSE connection errors ([#3497](https://github.com/NousResearch/hermes-agent/pull/3497))
- Prevent AsyncOpenAI/httpx cross-loop deadlock in gateway mode ([#2701](https://github.com/NousResearch/hermes-agent/pull/2701)) by @ctlst
### Streaming & Reasoning
- **Persist reasoning across gateway session turns** with new schema v6 columns (`reasoning`, `reasoning_details`, `codex_reasoning_items`) ([#2974](https://github.com/NousResearch/hermes-agent/pull/2974))
- Detect and kill stale SSE connections ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Fix stale stream detector race causing spurious `RemoteProtocolError` ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Skip duplicate callback for `<think>`-extracted reasoning during streaming ([#3116](https://github.com/NousResearch/hermes-agent/pull/3116))
- Preserve reasoning fields in `rewrite_transcript` ([#3311](https://github.com/NousResearch/hermes-agent/pull/3311))
- Preserve Gemini thought signatures in streamed tool calls ([#2997](https://github.com/NousResearch/hermes-agent/pull/2997))
- Ensure first delta is fired during reasoning updates ([untagged commit](https://github.com/NousResearch/hermes-agent))
### Session & Memory
- **Session search recent sessions mode** — Omit query to browse recent sessions with titles, previews, and timestamps ([#2533](https://github.com/NousResearch/hermes-agent/pull/2533))
- **Session config surfacing** on `/new`, `/reset`, and auto-reset ([#3321](https://github.com/NousResearch/hermes-agent/pull/3321))
- **Third-party session isolation** — `--source` flag for isolating sessions by origin ([#3255](https://github.com/NousResearch/hermes-agent/pull/3255))
- Add `/resume` CLI handler, session log truncation guard, `reopen_session` API ([#3315](https://github.com/NousResearch/hermes-agent/pull/3315))
- Clear compressor summary and turn counter on `/clear` and `/new` ([#3102](https://github.com/NousResearch/hermes-agent/pull/3102))
- Surface silent SessionDB failures that cause session data loss ([#2999](https://github.com/NousResearch/hermes-agent/pull/2999))
- Session search fallback preview on summarization failure ([#3478](https://github.com/NousResearch/hermes-agent/pull/3478))
- Prevent stale memory overwrites by flush agent ([#2687](https://github.com/NousResearch/hermes-agent/pull/2687))
### Context Compression
- Replace dead `summary_target_tokens` with ratio-based scaling ([#2554](https://github.com/NousResearch/hermes-agent/pull/2554))
- Expose `compression.target_ratio`, `protect_last_n`, and `threshold` in `DEFAULT_CONFIG` ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Restore sane defaults and cap summary at 12K tokens ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Preserve transcript on `/compress` and hygiene compression ([#3556](https://github.com/NousResearch/hermes-agent/pull/3556))
- Update context pressure warnings and token estimates after compaction ([untagged commit](https://github.com/NousResearch/hermes-agent))
### Architecture & Dependencies
- **Remove mini-swe-agent dependency** — Inline Docker and Modal backends directly ([#2804](https://github.com/NousResearch/hermes-agent/pull/2804))
- **Replace swe-rex with native Modal SDK** for Modal backend ([#3538](https://github.com/NousResearch/hermes-agent/pull/3538))
- **Plugin lifecycle hooks** — `pre_llm_call`, `post_llm_call`, `on_session_start`, `on_session_end` now fire in the agent loop ([#3542](https://github.com/NousResearch/hermes-agent/pull/3542))
- Fix plugin toolsets invisible in `hermes tools` and standalone processes ([#3457](https://github.com/NousResearch/hermes-agent/pull/3457))
- Consolidate `get_hermes_home()` and `parse_reasoning_effort()` ([#3062](https://github.com/NousResearch/hermes-agent/pull/3062))
- Remove unused Hermes-native PKCE OAuth flow ([#3107](https://github.com/NousResearch/hermes-agent/pull/3107))
- Remove ~100 unused imports across 55 files ([#3016](https://github.com/NousResearch/hermes-agent/pull/3016))
- Fix 154 f-strings, simplify getattr/URL patterns, remove dead code ([#3119](https://github.com/NousResearch/hermes-agent/pull/3119))
---
## 📱 Messaging Platforms (Gateway)
### Telegram
- **Private Chat Topics** — Project-based conversations with functional skill binding per topic, enabling isolated workflows within a single Telegram chat ([#3163](https://github.com/NousResearch/hermes-agent/pull/3163))
- **Auto-discover fallback IPs via DNS-over-HTTPS** when `api.telegram.org` is unreachable ([#3376](https://github.com/NousResearch/hermes-agent/pull/3376))
- **Configurable reply threading mode** ([#2907](https://github.com/NousResearch/hermes-agent/pull/2907))
- Fall back to no `thread_id` on "Message thread not found" BadRequest ([#3390](https://github.com/NousResearch/hermes-agent/pull/3390))
- Self-reschedule reconnect when `start_polling` fails after 502 ([#3268](https://github.com/NousResearch/hermes-agent/pull/3268))
### Discord
- Stop phantom typing indicator after agent turn completes ([#3003](https://github.com/NousResearch/hermes-agent/pull/3003))
### Slack
- Send tool call progress messages to correct Slack thread ([#3063](https://github.com/NousResearch/hermes-agent/pull/3063))
- Scope progress thread fallback to Slack only ([#3488](https://github.com/NousResearch/hermes-agent/pull/3488))
### WhatsApp
- Download documents, audio, and video media from messages ([#2978](https://github.com/NousResearch/hermes-agent/pull/2978))
### Matrix
- Add missing Matrix entry in `PLATFORMS` dict ([#3473](https://github.com/NousResearch/hermes-agent/pull/3473))
- Harden e2ee access-token handling ([#3562](https://github.com/NousResearch/hermes-agent/pull/3562))
- Add backoff for `SyncError` in sync loop ([#3280](https://github.com/NousResearch/hermes-agent/pull/3280))
### Signal
- Track SSE keepalive comments as connection activity ([#3316](https://github.com/NousResearch/hermes-agent/pull/3316))
### Email
- Prevent unbounded growth of `_seen_uids` in EmailAdapter ([#3490](https://github.com/NousResearch/hermes-agent/pull/3490))
### Gateway Core
- **Config-gated `/verbose` command** for messaging platforms — toggle tool output verbosity from chat ([#3262](https://github.com/NousResearch/hermes-agent/pull/3262))
- **Background review notifications** delivered to user chat ([#3293](https://github.com/NousResearch/hermes-agent/pull/3293))
- **Retry transient send failures** and notify user on exhaustion ([#3288](https://github.com/NousResearch/hermes-agent/pull/3288))
- Recover from hung agents — `/stop` hard-kills session lock ([#3104](https://github.com/NousResearch/hermes-agent/pull/3104))
- Thread-safe `SessionStore` — protect `_entries` with `threading.Lock` ([#3052](https://github.com/NousResearch/hermes-agent/pull/3052))
- Fix gateway token double-counting with cached agents — use absolute set instead of increment ([#3306](https://github.com/NousResearch/hermes-agent/pull/3306), [#3317](https://github.com/NousResearch/hermes-agent/pull/3317))
- Fingerprint full auth token in agent cache signature ([#3247](https://github.com/NousResearch/hermes-agent/pull/3247))
- Silence background agent terminal output ([#3297](https://github.com/NousResearch/hermes-agent/pull/3297))
- Include per-platform `ALLOW_ALL` and `SIGNAL_GROUP` in startup allowlist check ([#3313](https://github.com/NousResearch/hermes-agent/pull/3313))
- Include user-local bin paths in systemd unit PATH ([#3527](https://github.com/NousResearch/hermes-agent/pull/3527))
- Track background task references in `GatewayRunner` ([#3254](https://github.com/NousResearch/hermes-agent/pull/3254))
- Add request timeouts to HA, Email, Mattermost, SMS adapters ([#3258](https://github.com/NousResearch/hermes-agent/pull/3258))
- Add media download retry to Mattermost, Slack, and base cache ([#3323](https://github.com/NousResearch/hermes-agent/pull/3323))
- Detect virtualenv path instead of hardcoding `venv/` ([#2797](https://github.com/NousResearch/hermes-agent/pull/2797))
- Use `TERMINAL_CWD` for context file discovery, not process cwd ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Stop loading hermes repo AGENTS.md into gateway sessions (~10k wasted tokens) ([#2891](https://github.com/NousResearch/hermes-agent/pull/2891))
---
## 🖥️ CLI & User Experience
### Interactive CLI
- **Configurable busy input mode** + fix `/queue` always working ([#3298](https://github.com/NousResearch/hermes-agent/pull/3298))
- **Preserve user input on multiline paste** ([#3065](https://github.com/NousResearch/hermes-agent/pull/3065))
- **Tool generation callback** — streaming "preparing terminal…" updates during tool argument generation ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Show tool progress for substantive tools, not just "preparing" ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Buffer reasoning preview chunks and fix duplicate display ([#3013](https://github.com/NousResearch/hermes-agent/pull/3013))
- Prevent reasoning box from rendering 3x during tool-calling loops ([#3405](https://github.com/NousResearch/hermes-agent/pull/3405))
- Eliminate "Event loop is closed" / "Press ENTER to continue" during idle — three-layer fix with `neuter_async_httpx_del()`, custom exception handler, and stale client cleanup ([#3398](https://github.com/NousResearch/hermes-agent/pull/3398))
- Fix status bar shows 26K instead of 260K for token counts with trailing zeros ([#3024](https://github.com/NousResearch/hermes-agent/pull/3024))
- Fix status bar duplicates and degrades during long sessions ([#3291](https://github.com/NousResearch/hermes-agent/pull/3291))
- Refresh TUI before background task output to prevent status bar overlap ([#3048](https://github.com/NousResearch/hermes-agent/pull/3048))
- Suppress KawaiiSpinner animation under `patch_stdout` ([#2994](https://github.com/NousResearch/hermes-agent/pull/2994))
- Skip KawaiiSpinner when TUI handles tool progress ([#2973](https://github.com/NousResearch/hermes-agent/pull/2973))
- Guard `isatty()` against closed streams via `_is_tty` property ([#3056](https://github.com/NousResearch/hermes-agent/pull/3056))
- Ensure single closure of streaming boxes during tool generation ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Cap context pressure percentage at 100% in display ([#3480](https://github.com/NousResearch/hermes-agent/pull/3480))
- Clean up HTML error messages in CLI display ([#3069](https://github.com/NousResearch/hermes-agent/pull/3069))
- Show HTTP status code and 400 body in API error output ([#3096](https://github.com/NousResearch/hermes-agent/pull/3096))
- Extract useful info from HTML error pages, dump debug on max retries ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Prevent TypeError on startup when `base_url` is None ([#3068](https://github.com/NousResearch/hermes-agent/pull/3068))
- Prevent update crash in non-TTY environments ([#3094](https://github.com/NousResearch/hermes-agent/pull/3094))
- Handle EOFError in sessions delete/prune confirmation prompts ([#3101](https://github.com/NousResearch/hermes-agent/pull/3101))
- Catch KeyboardInterrupt during `flush_memories` on exit and in exit cleanup handlers ([#3025](https://github.com/NousResearch/hermes-agent/pull/3025), [#3257](https://github.com/NousResearch/hermes-agent/pull/3257))
- Guard `.strip()` against None values from YAML config ([#3552](https://github.com/NousResearch/hermes-agent/pull/3552))
- Guard `config.get()` against YAML null values to prevent AttributeError ([#3377](https://github.com/NousResearch/hermes-agent/pull/3377))
- Store asyncio task references to prevent GC mid-execution ([#3267](https://github.com/NousResearch/hermes-agent/pull/3267))
### Setup & Configuration
- Use explicit key mapping for returning-user menu dispatch instead of positional index ([#3083](https://github.com/NousResearch/hermes-agent/pull/3083))
- Use `sys.executable` for pip in update commands to fix PEP 668 ([#3099](https://github.com/NousResearch/hermes-agent/pull/3099))
- Harden `hermes update` against diverged history, non-main branches, and gateway edge cases ([#3492](https://github.com/NousResearch/hermes-agent/pull/3492))
- OpenClaw migration overwrites defaults and setup wizard skips imported sections — fixed ([#3282](https://github.com/NousResearch/hermes-agent/pull/3282))
- Stop recursive AGENTS.md walk, load top-level only ([#3110](https://github.com/NousResearch/hermes-agent/pull/3110))
- Add macOS Homebrew paths to browser and terminal PATH resolution ([#2713](https://github.com/NousResearch/hermes-agent/pull/2713))
- YAML boolean handling for `tool_progress` config ([#3300](https://github.com/NousResearch/hermes-agent/pull/3300))
- Reset default SOUL.md to baseline identity text ([#3159](https://github.com/NousResearch/hermes-agent/pull/3159))
- Reject relative cwd paths for container terminal backends ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Add explicit `hermes-api-server` toolset for API server platform ([#3304](https://github.com/NousResearch/hermes-agent/pull/3304))
- Reorder setup wizard providers — OpenRouter first ([untagged commit](https://github.com/NousResearch/hermes-agent))
---
## 🔧 Tool System
### API Server
- **Idempotency-Key support**, body size limit, and OpenAI error envelope ([#2903](https://github.com/NousResearch/hermes-agent/pull/2903))
- Allow Idempotency-Key in CORS headers ([#3530](https://github.com/NousResearch/hermes-agent/pull/3530))
- Cancel orphaned agent + true interrupt on SSE disconnect ([#3427](https://github.com/NousResearch/hermes-agent/pull/3427))
- Fix streaming breaks when agent makes tool calls ([#2985](https://github.com/NousResearch/hermes-agent/pull/2985))
### Terminal & File Operations
- Handle addition-only hunks in V4A patch parser ([#3325](https://github.com/NousResearch/hermes-agent/pull/3325))
- Exponential backoff for persistent shell polling ([#2996](https://github.com/NousResearch/hermes-agent/pull/2996))
- Add timeout to subprocess calls in `context_references` ([#3469](https://github.com/NousResearch/hermes-agent/pull/3469))
### Browser & Vision
- Handle 402 insufficient credits error in vision tool ([#2802](https://github.com/NousResearch/hermes-agent/pull/2802))
- Fix `browser_vision` ignores `auxiliary.vision.timeout` config ([#2901](https://github.com/NousResearch/hermes-agent/pull/2901))
- Make browser command timeout configurable via config.yaml ([#2801](https://github.com/NousResearch/hermes-agent/pull/2801))
### MCP
- MCP toolset resolution for runtime and config ([#3252](https://github.com/NousResearch/hermes-agent/pull/3252))
- Add MCP tool name collision protection ([#3077](https://github.com/NousResearch/hermes-agent/pull/3077))
### Auxiliary LLM
- Guard aux LLM calls against None content + reasoning fallback + retry ([#3449](https://github.com/NousResearch/hermes-agent/pull/3449))
- Catch ImportError from `build_anthropic_client` in vision auto-detection ([#3312](https://github.com/NousResearch/hermes-agent/pull/3312))
### Other Tools
- Add request timeouts to `send_message_tool` HTTP calls ([#3162](https://github.com/NousResearch/hermes-agent/pull/3162)) by @memosr
- Auto-repair `jobs.json` with invalid control characters ([#3537](https://github.com/NousResearch/hermes-agent/pull/3537))
- Enable fine-grained tool streaming for Claude/OpenRouter ([#3497](https://github.com/NousResearch/hermes-agent/pull/3497))
---
## 🧩 Skills Ecosystem
### Skills System
- **Env var passthrough** for skills and user config — skills can declare environment variables to pass through ([#2807](https://github.com/NousResearch/hermes-agent/pull/2807))
- Cache skills prompt with shared `skill_utils` module for faster TTFT ([#3421](https://github.com/NousResearch/hermes-agent/pull/3421))
- Avoid redundant file re-read for skill conditions ([#2992](https://github.com/NousResearch/hermes-agent/pull/2992))
- Use Git Trees API to prevent silent subdirectory loss during install ([#2995](https://github.com/NousResearch/hermes-agent/pull/2995))
- Fix skills-sh install for deeply nested repo structures ([#2980](https://github.com/NousResearch/hermes-agent/pull/2980))
- Handle null metadata in skill frontmatter ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Preserve trust for skills-sh identifiers + reduce resolution churn ([#3251](https://github.com/NousResearch/hermes-agent/pull/3251))
- Agent-created skills were incorrectly treated as untrusted community content — fixed ([untagged commit](https://github.com/NousResearch/hermes-agent))
### New Skills
- **G0DM0D3 godmode jailbreaking skill** + docs ([#3157](https://github.com/NousResearch/hermes-agent/pull/3157))
- **Docker management skill** added to optional-skills ([#3060](https://github.com/NousResearch/hermes-agent/pull/3060))
- **OpenClaw migration v2** — 17 new modules, terminal recap for migrating from OpenClaw to Hermes ([#2906](https://github.com/NousResearch/hermes-agent/pull/2906))
---
## 🔒 Security & Reliability
### Security Hardening
- **SSRF protection** added to `browser_navigate` ([#3058](https://github.com/NousResearch/hermes-agent/pull/3058))
- **SSRF protection** added to `vision_tools` and `web_tools` (hardened) ([#2679](https://github.com/NousResearch/hermes-agent/pull/2679))
- **Restrict subagent toolsets** to parent's enabled set ([#3269](https://github.com/NousResearch/hermes-agent/pull/3269))
- **Prevent zip-slip path traversal** in self-update ([#3250](https://github.com/NousResearch/hermes-agent/pull/3250))
- **Prevent shell injection** in `_expand_path` via `~user` path suffix ([#2685](https://github.com/NousResearch/hermes-agent/pull/2685))
- **Normalize input** before dangerous command detection ([#3260](https://github.com/NousResearch/hermes-agent/pull/3260))
- Make tirith block verdicts approvable instead of hard-blocking ([#3428](https://github.com/NousResearch/hermes-agent/pull/3428))
- Remove compromised `litellm`/`typer`/`platformdirs` from deps ([#2796](https://github.com/NousResearch/hermes-agent/pull/2796))
- Pin all dependency version ranges ([#2810](https://github.com/NousResearch/hermes-agent/pull/2810))
- Regenerate `uv.lock` with hashes, use lockfile in setup ([#2812](https://github.com/NousResearch/hermes-agent/pull/2812))
- Bump dependencies to fix CVEs + regenerate `uv.lock` ([#3073](https://github.com/NousResearch/hermes-agent/pull/3073))
- Supply chain audit CI workflow for PR scanning ([#2816](https://github.com/NousResearch/hermes-agent/pull/2816))
### Reliability
- **SQLite WAL write-lock contention** causing 15-20s TUI freeze — fixed ([#3385](https://github.com/NousResearch/hermes-agent/pull/3385))
- **SQLite concurrency hardening** + session transcript integrity ([#3249](https://github.com/NousResearch/hermes-agent/pull/3249))
- Prevent recurring cron job re-fire on gateway crash/restart loop ([#3396](https://github.com/NousResearch/hermes-agent/pull/3396))
- Mark cron session as ended after job completes ([#2998](https://github.com/NousResearch/hermes-agent/pull/2998))
---
## ⚡ Performance
- **TTFT startup optimizations** — salvaged easy-win startup improvements ([#3395](https://github.com/NousResearch/hermes-agent/pull/3395))
- Cache skills prompt with shared `skill_utils` module ([#3421](https://github.com/NousResearch/hermes-agent/pull/3421))
- Avoid redundant file re-read for skill conditions in prompt builder ([#2992](https://github.com/NousResearch/hermes-agent/pull/2992))
---
## 🐛 Notable Bug Fixes
- Fix gateway token double-counting with cached agents ([#3306](https://github.com/NousResearch/hermes-agent/pull/3306), [#3317](https://github.com/NousResearch/hermes-agent/pull/3317))
- Fix "Event loop is closed" / "Press ENTER to continue" during idle sessions ([#3398](https://github.com/NousResearch/hermes-agent/pull/3398))
- Fix reasoning box rendering 3x during tool-calling loops ([#3405](https://github.com/NousResearch/hermes-agent/pull/3405))
- Fix status bar shows 26K instead of 260K for token counts ([#3024](https://github.com/NousResearch/hermes-agent/pull/3024))
- Fix `/queue` always working regardless of config ([#3298](https://github.com/NousResearch/hermes-agent/pull/3298))
- Fix phantom Discord typing indicator after agent turn ([#3003](https://github.com/NousResearch/hermes-agent/pull/3003))
- Fix Slack progress messages appearing in wrong thread ([#3063](https://github.com/NousResearch/hermes-agent/pull/3063))
- Fix WhatsApp media downloads (documents, audio, video) ([#2978](https://github.com/NousResearch/hermes-agent/pull/2978))
- Fix Telegram "Message thread not found" killing progress messages ([#3390](https://github.com/NousResearch/hermes-agent/pull/3390))
- Fix OpenClaw migration overwriting defaults ([#3282](https://github.com/NousResearch/hermes-agent/pull/3282))
- Fix returning-user setup menu dispatching wrong section ([#3083](https://github.com/NousResearch/hermes-agent/pull/3083))
- Fix `hermes update` PEP 668 "externally-managed-environment" error ([#3099](https://github.com/NousResearch/hermes-agent/pull/3099))
- Fix subagents hitting `max_iterations` prematurely via shared budget ([#3004](https://github.com/NousResearch/hermes-agent/pull/3004))
- Fix YAML boolean handling for `tool_progress` config ([#3300](https://github.com/NousResearch/hermes-agent/pull/3300))
- Fix `config.get()` crashes on YAML null values ([#3377](https://github.com/NousResearch/hermes-agent/pull/3377))
- Fix `.strip()` crash on None values from YAML config ([#3552](https://github.com/NousResearch/hermes-agent/pull/3552))
- Fix hung agents on gateway — `/stop` now hard-kills session lock ([#3104](https://github.com/NousResearch/hermes-agent/pull/3104))
- Fix `_custom` provider silently remapped to `openrouter` ([#2792](https://github.com/NousResearch/hermes-agent/pull/2792))
- Fix Matrix missing from `PLATFORMS` dict ([#3473](https://github.com/NousResearch/hermes-agent/pull/3473))
- Fix Email adapter unbounded `_seen_uids` growth ([#3490](https://github.com/NousResearch/hermes-agent/pull/3490))
---
## 🧪 Testing
- Pin `agent-client-protocol` < 0.9 to handle breaking upstream release ([#3320](https://github.com/NousResearch/hermes-agent/pull/3320))
- Catch anthropic ImportError in vision auto-detection tests ([#3312](https://github.com/NousResearch/hermes-agent/pull/3312))
- Update retry-exhaust test for new graceful return behavior ([#3320](https://github.com/NousResearch/hermes-agent/pull/3320))
- Add regression tests for null metadata frontmatter ([untagged commit](https://github.com/NousResearch/hermes-agent))
---
## 📚 Documentation
- Update all docs for `/model` command overhaul and custom provider support ([#2800](https://github.com/NousResearch/hermes-agent/pull/2800))
- Fix stale and incorrect documentation across 18 files ([#2805](https://github.com/NousResearch/hermes-agent/pull/2805))
- Document 9 previously undocumented features ([#2814](https://github.com/NousResearch/hermes-agent/pull/2814))
- Add missing skills, CLI commands, and messaging env vars to docs ([#2809](https://github.com/NousResearch/hermes-agent/pull/2809))
- Fix api-server response storage documentation — SQLite, not in-memory ([#2819](https://github.com/NousResearch/hermes-agent/pull/2819))
- Quote pip install extras to fix zsh glob errors ([#2815](https://github.com/NousResearch/hermes-agent/pull/2815))
- Unify hooks documentation — add plugin hooks to hooks page, add `session:end` event ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Clarify two-mode behavior in `session_search` schema description ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Fix Discord Public Bot setting for Discord-provided invite link ([#3519](https://github.com/NousResearch/hermes-agent/pull/3519)) by @mehmoodosman
- Revise v0.4.0 changelog — fix feature attribution, reorder sections ([untagged commit](https://github.com/NousResearch/hermes-agent))
---
## 👥 Contributors
### Core
- **@teknium1** — 157 PRs covering the full scope of this release
### Community Contributors
- **@alt-glitch** (Siddharth Balyan) — 2 PRs: Nix flake with uv2nix build, NixOS module, and persistent container mode ([#20](https://github.com/NousResearch/hermes-agent/pull/20)); auto-generated config keys and suffix PATHs for Nix builds ([#3061](https://github.com/NousResearch/hermes-agent/pull/3061), [#3274](https://github.com/NousResearch/hermes-agent/pull/3274))
- **@ctlst** — 1 PR: Prevent AsyncOpenAI/httpx cross-loop deadlock in gateway mode ([#2701](https://github.com/NousResearch/hermes-agent/pull/2701))
- **@memosr** (memosr.eth) — 1 PR: Add request timeouts to `send_message_tool` HTTP calls ([#3162](https://github.com/NousResearch/hermes-agent/pull/3162))
- **@mehmoodosman** (Osman Mehmood) — 1 PR: Fix Discord docs for Public Bot setting ([#3519](https://github.com/NousResearch/hermes-agent/pull/3519))
### All Contributors
@alt-glitch, @ctlst, @mehmoodosman, @memosr, @teknium1
---
**Full Changelog**: [v2026.3.23...v2026.3.28](https://github.com/NousResearch/hermes-agent/compare/v2026.3.23...v2026.3.28)

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@@ -1,249 +0,0 @@
# Hermes Agent v0.6.0 (v2026.3.30)
**Release Date:** March 30, 2026
> The multi-instance release — Profiles for running isolated agent instances, MCP server mode, Docker container, fallback provider chains, two new messaging platforms (Feishu/Lark and WeCom), Telegram webhook mode, Slack multi-workspace OAuth, 95 PRs and 16 resolved issues in 2 days.
---
## ✨ Highlights
- **Profiles — Multi-Instance Hermes** — Run multiple isolated Hermes instances from the same installation. Each profile gets its own config, memory, sessions, skills, and gateway service. Create with `hermes profile create`, switch with `hermes -p <name>`, export/import for sharing. Full token-lock isolation prevents two profiles from using the same bot credential. ([#3681](https://github.com/NousResearch/hermes-agent/pull/3681))
- **MCP Server Mode** — Expose Hermes conversations and sessions to any MCP-compatible client (Claude Desktop, Cursor, VS Code, etc.) via `hermes mcp serve`. Browse conversations, read messages, search across sessions, and manage attachments — all through the Model Context Protocol. Supports both stdio and Streamable HTTP transports. ([#3795](https://github.com/NousResearch/hermes-agent/pull/3795))
- **Docker Container** — Official Dockerfile for running Hermes Agent in a container. Supports both CLI and gateway modes with volume-mounted config. ([#3668](https://github.com/NousResearch/hermes-agent/pull/3668), closes [#850](https://github.com/NousResearch/hermes-agent/issues/850))
- **Ordered Fallback Provider Chain** — Configure multiple inference providers with automatic failover. When your primary provider returns errors or is unreachable, Hermes automatically tries the next provider in the chain. Configure via `fallback_providers` in config.yaml. ([#3813](https://github.com/NousResearch/hermes-agent/pull/3813), closes [#1734](https://github.com/NousResearch/hermes-agent/issues/1734))
- **Feishu/Lark Platform Support** — Full gateway adapter for Feishu (飞书) and Lark with event subscriptions, message cards, group chat, image/file attachments, and interactive card callbacks. ([#3799](https://github.com/NousResearch/hermes-agent/pull/3799), [#3817](https://github.com/NousResearch/hermes-agent/pull/3817), closes [#1788](https://github.com/NousResearch/hermes-agent/issues/1788))
- **WeCom (Enterprise WeChat) Platform Support** — New gateway adapter for WeCom (企业微信) with text/image/voice messages, group chats, and callback verification. ([#3847](https://github.com/NousResearch/hermes-agent/pull/3847))
- **Slack Multi-Workspace OAuth** — Connect a single Hermes gateway to multiple Slack workspaces via OAuth token file. Each workspace gets its own bot token, resolved dynamically per incoming event. ([#3903](https://github.com/NousResearch/hermes-agent/pull/3903))
- **Telegram Webhook Mode & Group Controls** — Run the Telegram adapter in webhook mode as an alternative to polling — faster response times and better for production deployments behind a reverse proxy. New group mention gating controls when the bot responds: always, only when @mentioned, or via regex triggers. ([#3880](https://github.com/NousResearch/hermes-agent/pull/3880), [#3870](https://github.com/NousResearch/hermes-agent/pull/3870))
- **Exa Search Backend** — Add Exa as an alternative web search and content extraction backend alongside Firecrawl and DuckDuckGo. Set `EXA_API_KEY` and configure as preferred backend. ([#3648](https://github.com/NousResearch/hermes-agent/pull/3648))
- **Skills & Credentials on Remote Backends** — Mount skill directories and credential files into Modal and Docker containers, so remote terminal sessions have access to the same skills and secrets as local execution. ([#3890](https://github.com/NousResearch/hermes-agent/pull/3890), [#3671](https://github.com/NousResearch/hermes-agent/pull/3671), closes [#3665](https://github.com/NousResearch/hermes-agent/issues/3665), [#3433](https://github.com/NousResearch/hermes-agent/issues/3433))
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- **Ordered fallback provider chain** — automatic failover across multiple configured providers ([#3813](https://github.com/NousResearch/hermes-agent/pull/3813))
- **Fix api_mode on provider switch** — switching providers via `hermes model` now correctly clears stale `api_mode` instead of hardcoding `chat_completions`, fixing 404s for providers with Anthropic-compatible endpoints ([#3726](https://github.com/NousResearch/hermes-agent/pull/3726), [#3857](https://github.com/NousResearch/hermes-agent/pull/3857), closes [#3685](https://github.com/NousResearch/hermes-agent/issues/3685))
- **Stop silent OpenRouter fallback** — when no provider is configured, Hermes now raises a clear error instead of silently routing to OpenRouter ([#3807](https://github.com/NousResearch/hermes-agent/pull/3807), [#3862](https://github.com/NousResearch/hermes-agent/pull/3862))
- **Gemini 3.1 preview models** — added to OpenRouter and Nous Portal catalogs ([#3803](https://github.com/NousResearch/hermes-agent/pull/3803), closes [#3753](https://github.com/NousResearch/hermes-agent/issues/3753))
- **Gemini direct API context length** — full context length resolution for direct Google AI endpoints ([#3876](https://github.com/NousResearch/hermes-agent/pull/3876))
- **gpt-5.4-mini** added to Codex fallback catalog ([#3855](https://github.com/NousResearch/hermes-agent/pull/3855))
- **Curated model lists preferred** over live API probe when the probe returns fewer models ([#3856](https://github.com/NousResearch/hermes-agent/pull/3856), [#3867](https://github.com/NousResearch/hermes-agent/pull/3867))
- **User-friendly 429 rate limit messages** with Retry-After countdown ([#3809](https://github.com/NousResearch/hermes-agent/pull/3809))
- **Auxiliary client placeholder key** for local servers without auth requirements ([#3842](https://github.com/NousResearch/hermes-agent/pull/3842))
- **INFO-level logging** for auxiliary provider resolution ([#3866](https://github.com/NousResearch/hermes-agent/pull/3866))
### Agent Loop & Conversation
- **Subagent status reporting** — reports `completed` status when summary exists instead of generic failure ([#3829](https://github.com/NousResearch/hermes-agent/pull/3829))
- **Session log file updated during compression** — prevents stale file references after context compression ([#3835](https://github.com/NousResearch/hermes-agent/pull/3835))
- **Omit empty tools param** — sends no `tools` parameter when empty instead of `None`, fixing compatibility with strict providers ([#3820](https://github.com/NousResearch/hermes-agent/pull/3820))
### Profiles & Multi-Instance
- **Profiles system** — `hermes profile create/list/switch/delete/export/import/rename`. Each profile gets isolated HERMES_HOME, gateway service, CLI wrapper. Token locks prevent credential collisions. Tab completion for profile names. ([#3681](https://github.com/NousResearch/hermes-agent/pull/3681))
- **Profile-aware display paths** — all user-facing `~/.hermes` paths replaced with `display_hermes_home()` to show the correct profile directory ([#3623](https://github.com/NousResearch/hermes-agent/pull/3623))
- **Lazy display_hermes_home imports** — prevents `ImportError` during `hermes update` when modules cache stale bytecode ([#3776](https://github.com/NousResearch/hermes-agent/pull/3776))
- **HERMES_HOME for protected paths** — `.env` write-deny path now respects HERMES_HOME instead of hardcoded `~/.hermes` ([#3840](https://github.com/NousResearch/hermes-agent/pull/3840))
---
## 📱 Messaging Platforms (Gateway)
### New Platforms
- **Feishu/Lark** — Full adapter with event subscriptions, message cards, group chat, image/file attachments, interactive card callbacks ([#3799](https://github.com/NousResearch/hermes-agent/pull/3799), [#3817](https://github.com/NousResearch/hermes-agent/pull/3817))
- **WeCom (Enterprise WeChat)** — Text/image/voice messages, group chats, callback verification ([#3847](https://github.com/NousResearch/hermes-agent/pull/3847))
### Telegram
- **Webhook mode** — run as webhook endpoint instead of polling for production deployments ([#3880](https://github.com/NousResearch/hermes-agent/pull/3880))
- **Group mention gating & regex triggers** — configurable bot response behavior in groups: always, @mention-only, or regex-matched ([#3870](https://github.com/NousResearch/hermes-agent/pull/3870))
- **Gracefully handle deleted reply targets** — no more crashes when the message being replied to was deleted ([#3858](https://github.com/NousResearch/hermes-agent/pull/3858), closes [#3229](https://github.com/NousResearch/hermes-agent/issues/3229))
### Discord
- **Message processing reactions** — adds a reaction emoji while processing and removes it when done, giving visual feedback in channels ([#3871](https://github.com/NousResearch/hermes-agent/pull/3871))
- **DISCORD_IGNORE_NO_MENTION** — skip messages that @mention other users/bots but not Hermes ([#3640](https://github.com/NousResearch/hermes-agent/pull/3640))
- **Clean up deferred "thinking..."** — properly removes the "thinking..." indicator after slash commands complete ([#3674](https://github.com/NousResearch/hermes-agent/pull/3674), closes [#3595](https://github.com/NousResearch/hermes-agent/issues/3595))
### Slack
- **Multi-workspace OAuth** — connect to multiple Slack workspaces from a single gateway via OAuth token file ([#3903](https://github.com/NousResearch/hermes-agent/pull/3903))
### WhatsApp
- **Persistent aiohttp session** — reuse HTTP sessions across requests instead of creating new ones per message ([#3818](https://github.com/NousResearch/hermes-agent/pull/3818))
- **LID↔phone alias resolution** — correctly match Linked ID and phone number formats in allowlists ([#3830](https://github.com/NousResearch/hermes-agent/pull/3830))
- **Skip reply prefix in bot mode** — cleaner message formatting when running as a WhatsApp bot ([#3931](https://github.com/NousResearch/hermes-agent/pull/3931))
### Matrix
- **Native voice messages via MSC3245** — send voice messages as proper Matrix voice events instead of file attachments ([#3877](https://github.com/NousResearch/hermes-agent/pull/3877))
### Mattermost
- **Configurable mention behavior** — respond to messages without requiring @mention ([#3664](https://github.com/NousResearch/hermes-agent/pull/3664))
### Signal
- **URL-encode phone numbers** and correct attachment RPC parameter — fixes delivery failures with certain phone number formats ([#3670](https://github.com/NousResearch/hermes-agent/pull/3670)) — @kshitijk4poor
### Email
- **Close SMTP/IMAP connections on failure** — prevents connection leaks during error scenarios ([#3804](https://github.com/NousResearch/hermes-agent/pull/3804))
### Gateway Core
- **Atomic config writes** — use atomic file writes for config.yaml to prevent data loss during crashes ([#3800](https://github.com/NousResearch/hermes-agent/pull/3800))
- **Home channel env overrides** — apply environment variable overrides for home channels consistently ([#3796](https://github.com/NousResearch/hermes-agent/pull/3796), [#3808](https://github.com/NousResearch/hermes-agent/pull/3808))
- **Replace print() with logger** — BasePlatformAdapter now uses proper logging instead of print statements ([#3669](https://github.com/NousResearch/hermes-agent/pull/3669))
- **Cron delivery labels** — resolve human-friendly delivery labels via channel directory ([#3860](https://github.com/NousResearch/hermes-agent/pull/3860), closes [#1945](https://github.com/NousResearch/hermes-agent/issues/1945))
- **Cron [SILENT] tightening** — prevent agents from prefixing reports with [SILENT] to suppress delivery ([#3901](https://github.com/NousResearch/hermes-agent/pull/3901))
- **Background task media delivery** and vision download timeout fixes ([#3919](https://github.com/NousResearch/hermes-agent/pull/3919))
- **Boot-md hook** — example built-in hook to run a BOOT.md file on gateway startup ([#3733](https://github.com/NousResearch/hermes-agent/pull/3733))
---
## 🖥️ CLI & User Experience
### Interactive CLI
- **Configurable tool preview length** — show full file paths by default instead of truncating at 40 chars ([#3841](https://github.com/NousResearch/hermes-agent/pull/3841))
- **Tool token context display** — `hermes tools` checklist now shows estimated token cost per toolset ([#3805](https://github.com/NousResearch/hermes-agent/pull/3805))
- **/bg spinner TUI fix** — route background task spinner through the TUI widget to prevent status bar collision ([#3643](https://github.com/NousResearch/hermes-agent/pull/3643))
- **Prevent status bar wrapping** into duplicate rows ([#3883](https://github.com/NousResearch/hermes-agent/pull/3883)) — @kshitijk4poor
- **Handle closed stdout ValueError** in safe print paths — fixes crashes when stdout is closed during gateway thread shutdown ([#3843](https://github.com/NousResearch/hermes-agent/pull/3843), closes [#3534](https://github.com/NousResearch/hermes-agent/issues/3534))
- **Remove input() from /tools disable** — eliminates freeze in terminal when disabling tools ([#3918](https://github.com/NousResearch/hermes-agent/pull/3918))
- **TTY guard for interactive CLI commands** — prevent CPU spin when launched without a terminal ([#3933](https://github.com/NousResearch/hermes-agent/pull/3933))
- **Argparse entrypoint** — use argparse in the top-level launcher for cleaner error handling ([#3874](https://github.com/NousResearch/hermes-agent/pull/3874))
- **Lazy-initialized tools show yellow** in banner instead of red, reducing false alarm about "missing" tools ([#3822](https://github.com/NousResearch/hermes-agent/pull/3822))
- **Honcho tools shown in banner** when configured ([#3810](https://github.com/NousResearch/hermes-agent/pull/3810))
### Setup & Configuration
- **Auto-install matrix-nio** during `hermes setup` when Matrix is selected ([#3802](https://github.com/NousResearch/hermes-agent/pull/3802), [#3873](https://github.com/NousResearch/hermes-agent/pull/3873))
- **Session export stdout support** — export sessions to stdout with `-` for piping ([#3641](https://github.com/NousResearch/hermes-agent/pull/3641), closes [#3609](https://github.com/NousResearch/hermes-agent/issues/3609))
- **Configurable approval timeouts** — set how long dangerous command approval prompts wait before auto-denying ([#3886](https://github.com/NousResearch/hermes-agent/pull/3886), closes [#3765](https://github.com/NousResearch/hermes-agent/issues/3765))
- **Clear __pycache__ during update** — prevents stale bytecode ImportError after `hermes update` ([#3819](https://github.com/NousResearch/hermes-agent/pull/3819))
---
## 🔧 Tool System
### MCP
- **MCP Server Mode** — `hermes mcp serve` exposes conversations, sessions, and attachments to MCP clients via stdio or Streamable HTTP ([#3795](https://github.com/NousResearch/hermes-agent/pull/3795))
- **Dynamic tool discovery** — respond to `notifications/tools/list_changed` events to pick up new tools from MCP servers without reconnecting ([#3812](https://github.com/NousResearch/hermes-agent/pull/3812))
- **Non-deprecated HTTP transport** — switched from `sse_client` to `streamable_http_client` ([#3646](https://github.com/NousResearch/hermes-agent/pull/3646))
### Web Tools
- **Exa search backend** — alternative to Firecrawl and DuckDuckGo for web search and extraction ([#3648](https://github.com/NousResearch/hermes-agent/pull/3648))
### Browser
- **Guard against None LLM responses** in browser snapshot and vision tools ([#3642](https://github.com/NousResearch/hermes-agent/pull/3642))
### Terminal & Remote Backends
- **Mount skill directories** into Modal and Docker containers ([#3890](https://github.com/NousResearch/hermes-agent/pull/3890))
- **Mount credential files** into remote backends with mtime+size caching ([#3671](https://github.com/NousResearch/hermes-agent/pull/3671))
- **Preserve partial output** when commands time out instead of losing everything ([#3868](https://github.com/NousResearch/hermes-agent/pull/3868))
- **Stop marking persisted env vars as missing** on remote backends ([#3650](https://github.com/NousResearch/hermes-agent/pull/3650))
### Audio
- **.aac format support** in transcription tool ([#3865](https://github.com/NousResearch/hermes-agent/pull/3865), closes [#1963](https://github.com/NousResearch/hermes-agent/issues/1963))
- **Audio download retry** — retry logic for `cache_audio_from_url` matching the existing image download pattern ([#3401](https://github.com/NousResearch/hermes-agent/pull/3401)) — @binhnt92
### Vision
- **Reject non-image files** and enforce website-only policy for vision analysis ([#3845](https://github.com/NousResearch/hermes-agent/pull/3845))
### Tool Schema
- **Ensure name field** always present in tool definitions, fixing `KeyError: 'name'` crashes ([#3811](https://github.com/NousResearch/hermes-agent/pull/3811), closes [#3729](https://github.com/NousResearch/hermes-agent/issues/3729))
### ACP (Editor Integration)
- **Complete session management surface** for VS Code/Zed/JetBrains clients — proper task lifecycle, cancel support, session persistence ([#3675](https://github.com/NousResearch/hermes-agent/pull/3675))
---
## 🧩 Skills & Plugins
### Skills System
- **External skill directories** — configure additional skill directories via `skills.external_dirs` in config.yaml ([#3678](https://github.com/NousResearch/hermes-agent/pull/3678))
- **Category path traversal blocked** — prevents `../` attacks in skill category names ([#3844](https://github.com/NousResearch/hermes-agent/pull/3844))
- **parallel-cli moved to optional-skills** — reduces default skill footprint ([#3673](https://github.com/NousResearch/hermes-agent/pull/3673)) — @kshitijk4poor
### New Skills
- **memento-flashcards** — spaced repetition flashcard system ([#3827](https://github.com/NousResearch/hermes-agent/pull/3827))
- **songwriting-and-ai-music** — songwriting craft and AI music generation prompts ([#3834](https://github.com/NousResearch/hermes-agent/pull/3834))
- **SiYuan Note** — integration with SiYuan note-taking app ([#3742](https://github.com/NousResearch/hermes-agent/pull/3742))
- **Scrapling** — web scraping skill using Scrapling library ([#3742](https://github.com/NousResearch/hermes-agent/pull/3742))
- **one-three-one-rule** — communication framework skill ([#3797](https://github.com/NousResearch/hermes-agent/pull/3797))
### Plugin System
- **Plugin enable/disable commands** — `hermes plugins enable/disable <name>` for managing plugin state without removing them ([#3747](https://github.com/NousResearch/hermes-agent/pull/3747))
- **Plugin message injection** — plugins can now inject messages into the conversation stream on behalf of the user via `ctx.inject_message()` ([#3778](https://github.com/NousResearch/hermes-agent/pull/3778)) — @winglian
- **Honcho self-hosted support** — allow local Honcho instances without requiring an API key ([#3644](https://github.com/NousResearch/hermes-agent/pull/3644))
---
## 🔒 Security & Reliability
### Security Hardening
- **Hardened dangerous command detection** — expanded pattern matching for risky shell commands and added file tool path guards for sensitive locations (`/etc/`, `/boot/`, docker.sock) ([#3872](https://github.com/NousResearch/hermes-agent/pull/3872))
- **Sensitive path write checks** in approval system — catch writes to system config files through file tools, not just terminal ([#3859](https://github.com/NousResearch/hermes-agent/pull/3859))
- **Secret redaction expansion** — now covers ElevenLabs, Tavily, and Exa API keys ([#3920](https://github.com/NousResearch/hermes-agent/pull/3920))
- **Vision file rejection** — reject non-image files passed to vision analysis to prevent information disclosure ([#3845](https://github.com/NousResearch/hermes-agent/pull/3845))
- **Category path traversal blocking** — prevent directory traversal in skill category names ([#3844](https://github.com/NousResearch/hermes-agent/pull/3844))
### Reliability
- **Atomic config.yaml writes** — prevent data loss during gateway crashes ([#3800](https://github.com/NousResearch/hermes-agent/pull/3800))
- **Clear __pycache__ on update** — prevent stale bytecode from causing ImportError after updates ([#3819](https://github.com/NousResearch/hermes-agent/pull/3819))
- **Lazy imports for update safety** — prevent ImportError chains during `hermes update` when modules reference new functions ([#3776](https://github.com/NousResearch/hermes-agent/pull/3776))
- **Restore terminalbench2 from patch corruption** — recovered file damaged by patch tool's secret redaction ([#3801](https://github.com/NousResearch/hermes-agent/pull/3801))
- **Terminal timeout preserves partial output** — no more lost command output on timeout ([#3868](https://github.com/NousResearch/hermes-agent/pull/3868))
---
## 🐛 Notable Bug Fixes
- **OpenClaw migration model config overwrite** — migration no longer overwrites model config dict with a string ([#3924](https://github.com/NousResearch/hermes-agent/pull/3924)) — @0xbyt4
- **OpenClaw migration expanded** — covers full data footprint including sessions, cron, memory ([#3869](https://github.com/NousResearch/hermes-agent/pull/3869))
- **Telegram deleted reply targets** — gracefully handle replies to deleted messages instead of crashing ([#3858](https://github.com/NousResearch/hermes-agent/pull/3858))
- **Discord "thinking..." persistence** — properly cleans up deferred response indicators ([#3674](https://github.com/NousResearch/hermes-agent/pull/3674))
- **WhatsApp LID↔phone aliases** — fixes allowlist matching failures with Linked ID format ([#3830](https://github.com/NousResearch/hermes-agent/pull/3830))
- **Signal URL-encoded phone numbers** — fixes delivery failures with certain formats ([#3670](https://github.com/NousResearch/hermes-agent/pull/3670))
- **Email connection leaks** — properly close SMTP/IMAP connections on error ([#3804](https://github.com/NousResearch/hermes-agent/pull/3804))
- **_safe_print ValueError** — no more gateway thread crashes on closed stdout ([#3843](https://github.com/NousResearch/hermes-agent/pull/3843))
- **Tool schema KeyError 'name'** — ensure name field always present in tool definitions ([#3811](https://github.com/NousResearch/hermes-agent/pull/3811))
- **api_mode stale on provider switch** — correctly clear when switching providers via `hermes model` ([#3857](https://github.com/NousResearch/hermes-agent/pull/3857))
---
## 🧪 Testing
- Resolved 10+ CI failures across hooks, tiktoken, plugins, and skill tests ([#3848](https://github.com/NousResearch/hermes-agent/pull/3848), [#3721](https://github.com/NousResearch/hermes-agent/pull/3721), [#3936](https://github.com/NousResearch/hermes-agent/pull/3936))
---
## 📚 Documentation
- **Comprehensive OpenClaw migration guide** — step-by-step guide for migrating from OpenClaw/Claw3D to Hermes Agent ([#3864](https://github.com/NousResearch/hermes-agent/pull/3864), [#3900](https://github.com/NousResearch/hermes-agent/pull/3900))
- **Credential file passthrough docs** — document how to forward credential files and env vars to remote backends ([#3677](https://github.com/NousResearch/hermes-agent/pull/3677))
- **DuckDuckGo requirements clarified** — note runtime dependency on duckduckgo-search package ([#3680](https://github.com/NousResearch/hermes-agent/pull/3680))
- **Skills catalog updated** — added red-teaming category and optional skills listing ([#3745](https://github.com/NousResearch/hermes-agent/pull/3745))
- **Feishu docs MDX fix** — escape angle-bracket URLs that break Docusaurus build ([#3902](https://github.com/NousResearch/hermes-agent/pull/3902))
---
## 👥 Contributors
### Core
- **@teknium1** — 90 PRs across all subsystems
### Community Contributors
- **@kshitijk4poor** — 3 PRs: Signal phone number fix ([#3670](https://github.com/NousResearch/hermes-agent/pull/3670)), parallel-cli to optional-skills ([#3673](https://github.com/NousResearch/hermes-agent/pull/3673)), status bar wrapping fix ([#3883](https://github.com/NousResearch/hermes-agent/pull/3883))
- **@winglian** — 1 PR: Plugin message injection interface ([#3778](https://github.com/NousResearch/hermes-agent/pull/3778))
- **@binhnt92** — 1 PR: Audio download retry logic ([#3401](https://github.com/NousResearch/hermes-agent/pull/3401))
- **@0xbyt4** — 1 PR: OpenClaw migration model config fix ([#3924](https://github.com/NousResearch/hermes-agent/pull/3924))
### Issues Resolved from Community
@Material-Scientist ([#850](https://github.com/NousResearch/hermes-agent/issues/850)), @hanxu98121 ([#1734](https://github.com/NousResearch/hermes-agent/issues/1734)), @penwyp ([#1788](https://github.com/NousResearch/hermes-agent/issues/1788)), @dan-and ([#1945](https://github.com/NousResearch/hermes-agent/issues/1945)), @AdrianScott ([#1963](https://github.com/NousResearch/hermes-agent/issues/1963)), @clawdbot47 ([#3229](https://github.com/NousResearch/hermes-agent/issues/3229)), @alanfwilliams ([#3404](https://github.com/NousResearch/hermes-agent/issues/3404)), @kentimsit ([#3433](https://github.com/NousResearch/hermes-agent/issues/3433)), @hayka-pacha ([#3534](https://github.com/NousResearch/hermes-agent/issues/3534)), @primmer ([#3595](https://github.com/NousResearch/hermes-agent/issues/3595)), @dagelf ([#3609](https://github.com/NousResearch/hermes-agent/issues/3609)), @HenkDz ([#3685](https://github.com/NousResearch/hermes-agent/issues/3685)), @tmdgusya ([#3729](https://github.com/NousResearch/hermes-agent/issues/3729)), @TypQxQ ([#3753](https://github.com/NousResearch/hermes-agent/issues/3753)), @acsezen ([#3765](https://github.com/NousResearch/hermes-agent/issues/3765))
---
**Full Changelog**: [v2026.3.28...v2026.3.30](https://github.com/NousResearch/hermes-agent/compare/v2026.3.28...v2026.3.30)

View File

@@ -18,7 +18,6 @@ import logging
import os
import sys
from pathlib import Path
from hermes_constants import get_hermes_home
def _setup_logging() -> None:
@@ -45,7 +44,7 @@ def _load_env() -> None:
"""Load .env from HERMES_HOME (default ``~/.hermes``)."""
from hermes_cli.env_loader import load_hermes_dotenv
hermes_home = get_hermes_home()
hermes_home = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
loaded = load_hermes_dotenv(hermes_home=hermes_home)
if loaded:
for env_file in loaded:
@@ -74,7 +73,7 @@ def main() -> None:
agent = HermesACPAgent()
try:
asyncio.run(acp.run_agent(agent, use_unstable_protocol=True))
asyncio.run(acp.run_agent(agent))
except KeyboardInterrupt:
logger.info("Shutting down (KeyboardInterrupt)")
except Exception:

View File

@@ -10,7 +10,7 @@ thread while the event loop lives on the main thread).
import asyncio
import json
import logging
from collections import deque
from collections import defaultdict, deque
from typing import Any, Callable, Deque, Dict
import acp

View File

@@ -5,11 +5,14 @@ from __future__ import annotations
import asyncio
import logging
from concurrent.futures import TimeoutError as FutureTimeout
from typing import Callable
from typing import Any, Callable, Optional
from acp.schema import (
AllowedOutcome,
DeniedOutcome,
PermissionOption,
RequestPermissionRequest,
SelectedPermissionOutcome,
)
logger = logging.getLogger(__name__)

View File

@@ -25,9 +25,6 @@ from acp.schema import (
NewSessionResponse,
PromptResponse,
ResumeSessionResponse,
SetSessionConfigOptionResponse,
SetSessionModelResponse,
SetSessionModeResponse,
ResourceContentBlock,
SessionCapabilities,
SessionForkCapabilities,
@@ -45,7 +42,7 @@ from acp_adapter.events import (
make_tool_progress_cb,
)
from acp_adapter.permissions import make_approval_callback
from acp_adapter.session import SessionManager, SessionState
from acp_adapter.session import SessionManager
logger = logging.getLogger(__name__)
@@ -97,14 +94,11 @@ class HermesACPAgent(acp.Agent):
async def initialize(
self,
protocol_version: int | None = None,
protocol_version: int,
client_capabilities: ClientCapabilities | None = None,
client_info: Implementation | None = None,
**kwargs: Any,
) -> InitializeResponse:
resolved_protocol_version = (
protocol_version if isinstance(protocol_version, int) else acp.PROTOCOL_VERSION
)
provider = detect_provider()
auth_methods = None
if provider:
@@ -117,11 +111,7 @@ class HermesACPAgent(acp.Agent):
]
client_name = client_info.name if client_info else "unknown"
logger.info(
"Initialize from %s (protocol v%s)",
client_name,
resolved_protocol_version,
)
logger.info("Initialize from %s (protocol v%s)", client_name, protocol_version)
return InitializeResponse(
protocol_version=acp.PROTOCOL_VERSION,
@@ -236,19 +226,10 @@ class HermesACPAgent(acp.Agent):
logger.error("prompt: session %s not found", session_id)
return PromptResponse(stop_reason="refusal")
user_text = _extract_text(prompt).strip()
if not user_text:
user_text = _extract_text(prompt)
if not user_text.strip():
return PromptResponse(stop_reason="end_turn")
# Intercept slash commands — handle locally without calling the LLM
if user_text.startswith("/"):
response_text = self._handle_slash_command(user_text, state)
if response_text is not None:
if self._conn:
update = acp.update_agent_message_text(response_text)
await self._conn.session_update(session_id, update)
return PromptResponse(stop_reason="end_turn")
logger.info("Prompt on session %s: %s", session_id, user_text[:100])
conn = self._conn
@@ -314,8 +295,6 @@ class HermesACPAgent(acp.Agent):
if result.get("messages"):
state.history = result["messages"]
# Persist updated history so sessions survive process restarts.
self.session_manager.save_session(session_id)
final_response = result.get("final_response", "")
if final_response and conn:
@@ -336,200 +315,19 @@ class HermesACPAgent(acp.Agent):
stop_reason = "cancelled" if state.cancel_event and state.cancel_event.is_set() else "end_turn"
return PromptResponse(stop_reason=stop_reason, usage=usage)
# ---- Slash commands (headless) -------------------------------------------
_SLASH_COMMANDS = {
"help": "Show available commands",
"model": "Show or change current model",
"tools": "List available tools",
"context": "Show conversation context info",
"reset": "Clear conversation history",
"compact": "Compress conversation context",
"version": "Show Hermes version",
}
def _handle_slash_command(self, text: str, state: SessionState) -> str | None:
"""Dispatch a slash command and return the response text.
Returns ``None`` for unrecognized commands so they fall through
to the LLM (the user may have typed ``/something`` as prose).
"""
parts = text.split(maxsplit=1)
cmd = parts[0].lstrip("/").lower()
args = parts[1].strip() if len(parts) > 1 else ""
handler = {
"help": self._cmd_help,
"model": self._cmd_model,
"tools": self._cmd_tools,
"context": self._cmd_context,
"reset": self._cmd_reset,
"compact": self._cmd_compact,
"version": self._cmd_version,
}.get(cmd)
if handler is None:
return None # not a known command — let the LLM handle it
try:
return handler(args, state)
except Exception as e:
logger.error("Slash command /%s error: %s", cmd, e, exc_info=True)
return f"Error executing /{cmd}: {e}"
def _cmd_help(self, args: str, state: SessionState) -> str:
lines = ["Available commands:", ""]
for cmd, desc in self._SLASH_COMMANDS.items():
lines.append(f" /{cmd:10s} {desc}")
lines.append("")
lines.append("Unrecognized /commands are sent to the model as normal messages.")
return "\n".join(lines)
def _cmd_model(self, args: str, state: SessionState) -> str:
if not args:
model = state.model or getattr(state.agent, "model", "unknown")
provider = getattr(state.agent, "provider", None) or "auto"
return f"Current model: {model}\nProvider: {provider}"
new_model = args.strip()
target_provider = None
current_provider = getattr(state.agent, "provider", None) or "openrouter"
# Auto-detect provider for the requested model
try:
from hermes_cli.models import parse_model_input, detect_provider_for_model
target_provider, new_model = parse_model_input(new_model, current_provider)
if target_provider == current_provider:
detected = detect_provider_for_model(new_model, current_provider)
if detected:
target_provider, new_model = detected
except Exception:
logger.debug("Provider detection failed, using model as-is", exc_info=True)
state.model = new_model
state.agent = self.session_manager._make_agent(
session_id=state.session_id,
cwd=state.cwd,
model=new_model,
requested_provider=target_provider or current_provider,
)
self.session_manager.save_session(state.session_id)
provider_label = getattr(state.agent, "provider", None) or target_provider or current_provider
logger.info("Session %s: model switched to %s", state.session_id, new_model)
return f"Model switched to: {new_model}\nProvider: {provider_label}"
def _cmd_tools(self, args: str, state: SessionState) -> str:
try:
from model_tools import get_tool_definitions
toolsets = getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"]
tools = get_tool_definitions(enabled_toolsets=toolsets, quiet_mode=True)
if not tools:
return "No tools available."
lines = [f"Available tools ({len(tools)}):"]
for t in tools:
name = t.get("function", {}).get("name", "?")
desc = t.get("function", {}).get("description", "")
# Truncate long descriptions
if len(desc) > 80:
desc = desc[:77] + "..."
lines.append(f" {name}: {desc}")
return "\n".join(lines)
except Exception as e:
return f"Could not list tools: {e}"
def _cmd_context(self, args: str, state: SessionState) -> str:
n_messages = len(state.history)
if n_messages == 0:
return "Conversation is empty (no messages yet)."
# Count by role
roles: dict[str, int] = {}
for msg in state.history:
role = msg.get("role", "unknown")
roles[role] = roles.get(role, 0) + 1
lines = [
f"Conversation: {n_messages} messages",
f" user: {roles.get('user', 0)}, assistant: {roles.get('assistant', 0)}, "
f"tool: {roles.get('tool', 0)}, system: {roles.get('system', 0)}",
]
model = state.model or getattr(state.agent, "model", "")
if model:
lines.append(f"Model: {model}")
return "\n".join(lines)
def _cmd_reset(self, args: str, state: SessionState) -> str:
state.history.clear()
self.session_manager.save_session(state.session_id)
return "Conversation history cleared."
def _cmd_compact(self, args: str, state: SessionState) -> str:
if not state.history:
return "Nothing to compress — conversation is empty."
try:
agent = state.agent
if hasattr(agent, "compress_context"):
agent.compress_context(state.history)
self.session_manager.save_session(state.session_id)
return f"Context compressed. Messages: {len(state.history)}"
return "Context compression not available for this agent."
except Exception as e:
return f"Compression failed: {e}"
def _cmd_version(self, args: str, state: SessionState) -> str:
return f"Hermes Agent v{HERMES_VERSION}"
# ---- Model switching (ACP protocol method) -------------------------------
# ---- Model switching ----------------------------------------------------
async def set_session_model(
self, model_id: str, session_id: str, **kwargs: Any
) -> SetSessionModelResponse | None:
"""Switch the model for a session (called by ACP protocol)."""
):
"""Switch the model for a session."""
state = self.session_manager.get_session(session_id)
if state:
state.model = model_id
current_provider = getattr(state.agent, "provider", None)
current_base_url = getattr(state.agent, "base_url", None)
current_api_mode = getattr(state.agent, "api_mode", None)
state.agent = self.session_manager._make_agent(
session_id=session_id,
cwd=state.cwd,
model=model_id,
requested_provider=current_provider,
base_url=current_base_url,
api_mode=current_api_mode,
)
self.session_manager.save_session(session_id)
logger.info("Session %s: model switched to %s", session_id, model_id)
return SetSessionModelResponse()
logger.warning("Session %s: model switch requested for missing session", session_id)
return None
async def set_session_mode(
self, mode_id: str, session_id: str, **kwargs: Any
) -> SetSessionModeResponse | None:
"""Persist the editor-requested mode so ACP clients do not fail on mode switches."""
state = self.session_manager.get_session(session_id)
if state is None:
logger.warning("Session %s: mode switch requested for missing session", session_id)
return None
setattr(state, "mode", mode_id)
self.session_manager.save_session(session_id)
logger.info("Session %s: mode switched to %s", session_id, mode_id)
return SetSessionModeResponse()
async def set_config_option(
self, config_id: str, session_id: str, value: str, **kwargs: Any
) -> SetSessionConfigOptionResponse | None:
"""Accept ACP config option updates even when Hermes has no typed ACP config surface yet."""
state = self.session_manager.get_session(session_id)
if state is None:
logger.warning("Session %s: config update requested for missing session", session_id)
return None
options = getattr(state, "config_options", None)
if not isinstance(options, dict):
options = {}
options[str(config_id)] = value
setattr(state, "config_options", options)
self.session_manager.save_session(session_id)
logger.info("Session %s: config option %s updated", session_id, config_id)
return SetSessionConfigOptionResponse(config_options=[])

View File

@@ -1,17 +1,7 @@
"""ACP session manager — maps ACP sessions to Hermes AIAgent instances.
Sessions are persisted to the shared SessionDB (``~/.hermes/state.db``) so they
survive process restarts and appear in ``session_search``. When the editor
reconnects after idle/restart, the ``load_session`` / ``resume_session`` calls
find the persisted session in the database and restore the full conversation
history.
"""
"""ACP session manager — maps ACP sessions to Hermes AIAgent instances."""
from __future__ import annotations
from hermes_constants import get_hermes_home
import copy
import json
import logging
import uuid
from dataclasses import dataclass, field
@@ -56,26 +46,18 @@ class SessionState:
class SessionManager:
"""Thread-safe manager for ACP sessions backed by Hermes AIAgent instances.
"""Thread-safe manager for ACP sessions backed by Hermes AIAgent instances."""
Sessions are held in-memory for fast access **and** persisted to the
shared SessionDB so they survive process restarts and are searchable
via ``session_search``.
"""
def __init__(self, agent_factory=None, db=None):
def __init__(self, agent_factory=None):
"""
Args:
agent_factory: Optional callable that creates an AIAgent-like object.
Used by tests. When omitted, a real AIAgent is created
using the current Hermes runtime provider configuration.
db: Optional SessionDB instance. When omitted, the default
SessionDB (``~/.hermes/state.db``) is lazily created.
"""
self._sessions: Dict[str, SessionState] = {}
self._lock = Lock()
self._agent_factory = agent_factory
self._db_instance = db # None → lazy-init on first use
# ---- public API ---------------------------------------------------------
@@ -95,67 +77,54 @@ class SessionManager:
with self._lock:
self._sessions[session_id] = state
_register_task_cwd(session_id, cwd)
self._persist(state)
logger.info("Created ACP session %s (cwd=%s)", session_id, cwd)
return state
def get_session(self, session_id: str) -> Optional[SessionState]:
"""Return the session for *session_id*, or ``None``.
If the session is not in memory but exists in the database (e.g. after
a process restart), it is transparently restored.
"""
"""Return the session for *session_id*, or ``None``."""
with self._lock:
state = self._sessions.get(session_id)
if state is not None:
return state
# Attempt to restore from database.
return self._restore(session_id)
return self._sessions.get(session_id)
def remove_session(self, session_id: str) -> bool:
"""Remove a session from memory and database. Returns True if it existed."""
"""Remove a session. Returns True if it existed."""
with self._lock:
existed = self._sessions.pop(session_id, None) is not None
db_existed = self._delete_persisted(session_id)
if existed or db_existed:
if existed:
_clear_task_cwd(session_id)
return existed or db_existed
return existed
def fork_session(self, session_id: str, cwd: str = ".") -> Optional[SessionState]:
"""Deep-copy a session's history into a new session."""
import threading
original = self.get_session(session_id) # checks DB too
if original is None:
return None
new_id = str(uuid.uuid4())
agent = self._make_agent(
session_id=new_id,
cwd=cwd,
model=original.model or None,
)
state = SessionState(
session_id=new_id,
agent=agent,
cwd=cwd,
model=getattr(agent, "model", original.model) or original.model,
history=copy.deepcopy(original.history),
cancel_event=threading.Event(),
)
with self._lock:
original = self._sessions.get(session_id)
if original is None:
return None
new_id = str(uuid.uuid4())
agent = self._make_agent(
session_id=new_id,
cwd=cwd,
model=original.model or None,
)
state = SessionState(
session_id=new_id,
agent=agent,
cwd=cwd,
model=getattr(agent, "model", original.model) or original.model,
history=copy.deepcopy(original.history),
cancel_event=threading.Event(),
)
self._sessions[new_id] = state
_register_task_cwd(new_id, cwd)
self._persist(state)
logger.info("Forked ACP session %s -> %s", session_id, new_id)
return state
def list_sessions(self) -> List[Dict[str, Any]]:
"""Return lightweight info dicts for all sessions (memory + database)."""
# Collect in-memory sessions first.
"""Return lightweight info dicts for all sessions."""
with self._lock:
seen_ids = set(self._sessions.keys())
results = [
return [
{
"session_id": s.session_id,
"cwd": s.cwd,
@@ -165,245 +134,23 @@ class SessionManager:
for s in self._sessions.values()
]
# Merge any persisted sessions not currently in memory.
db = self._get_db()
if db is not None:
try:
rows = db.search_sessions(source="acp", limit=1000)
for row in rows:
sid = row["id"]
if sid in seen_ids:
continue
# Extract cwd from model_config JSON.
cwd = "."
mc = row.get("model_config")
if mc:
try:
cwd = json.loads(mc).get("cwd", ".")
except (json.JSONDecodeError, TypeError):
pass
results.append({
"session_id": sid,
"cwd": cwd,
"model": row.get("model") or "",
"history_len": row.get("message_count") or 0,
})
except Exception:
logger.debug("Failed to list ACP sessions from DB", exc_info=True)
return results
def update_cwd(self, session_id: str, cwd: str) -> Optional[SessionState]:
"""Update the working directory for a session and its tool overrides."""
state = self.get_session(session_id) # checks DB too
if state is None:
return None
state.cwd = cwd
with self._lock:
state = self._sessions.get(session_id)
if state is None:
return None
state.cwd = cwd
_register_task_cwd(session_id, cwd)
self._persist(state)
return state
def cleanup(self) -> None:
"""Remove all sessions (memory and database) and clear task-specific cwd overrides."""
"""Remove all sessions and clear task-specific cwd overrides."""
with self._lock:
session_ids = list(self._sessions.keys())
self._sessions.clear()
for session_id in session_ids:
_clear_task_cwd(session_id)
self._delete_persisted(session_id)
# Also remove any DB-only ACP sessions not currently in memory.
db = self._get_db()
if db is not None:
try:
rows = db.search_sessions(source="acp", limit=10000)
for row in rows:
sid = row["id"]
_clear_task_cwd(sid)
db.delete_session(sid)
except Exception:
logger.debug("Failed to cleanup ACP sessions from DB", exc_info=True)
def save_session(self, session_id: str) -> None:
"""Persist the current state of a session to the database.
Called by the server after prompt completion, slash commands that
mutate history, and model switches.
"""
with self._lock:
state = self._sessions.get(session_id)
if state is not None:
self._persist(state)
# ---- persistence via SessionDB ------------------------------------------
def _get_db(self):
"""Lazily initialise and return the SessionDB instance.
Returns ``None`` if the DB is unavailable (e.g. import error in a
minimal test environment).
Note: we resolve ``HERMES_HOME`` dynamically rather than relying on
the module-level ``DEFAULT_DB_PATH`` constant, because that constant
is evaluated at import time and won't reflect env-var changes made
later (e.g. by the test fixture ``_isolate_hermes_home``).
"""
if self._db_instance is not None:
return self._db_instance
try:
import os
from pathlib import Path
from hermes_state import SessionDB
hermes_home = get_hermes_home()
self._db_instance = SessionDB(db_path=hermes_home / "state.db")
return self._db_instance
except Exception:
logger.debug("SessionDB unavailable for ACP persistence", exc_info=True)
return None
def _persist(self, state: SessionState) -> None:
"""Write session state to the database.
Creates the session record if it doesn't exist, then replaces all
stored messages with the current in-memory history.
"""
db = self._get_db()
if db is None:
return
# Ensure model is a plain string (not a MagicMock or other proxy).
model_str = str(state.model) if state.model else None
session_meta = {"cwd": state.cwd}
provider = getattr(state.agent, "provider", None)
base_url = getattr(state.agent, "base_url", None)
api_mode = getattr(state.agent, "api_mode", None)
if isinstance(provider, str) and provider.strip():
session_meta["provider"] = provider.strip()
if isinstance(base_url, str) and base_url.strip():
session_meta["base_url"] = base_url.strip()
if isinstance(api_mode, str) and api_mode.strip():
session_meta["api_mode"] = api_mode.strip()
cwd_json = json.dumps(session_meta)
try:
# Ensure the session record exists.
existing = db.get_session(state.session_id)
if existing is None:
db.create_session(
session_id=state.session_id,
source="acp",
model=model_str,
model_config={"cwd": state.cwd},
)
else:
# Update model_config (contains cwd) if changed.
try:
with db._lock:
db._conn.execute(
"UPDATE sessions SET model_config = ?, model = COALESCE(?, model) WHERE id = ?",
(cwd_json, model_str, state.session_id),
)
db._conn.commit()
except Exception:
logger.debug("Failed to update ACP session metadata", exc_info=True)
# Replace stored messages with current history.
db.clear_messages(state.session_id)
for msg in state.history:
db.append_message(
session_id=state.session_id,
role=msg.get("role", "user"),
content=msg.get("content"),
tool_name=msg.get("tool_name") or msg.get("name"),
tool_calls=msg.get("tool_calls"),
tool_call_id=msg.get("tool_call_id"),
)
except Exception:
logger.warning("Failed to persist ACP session %s", state.session_id, exc_info=True)
def _restore(self, session_id: str) -> Optional[SessionState]:
"""Load a session from the database into memory, recreating the AIAgent."""
import threading
db = self._get_db()
if db is None:
return None
try:
row = db.get_session(session_id)
except Exception:
logger.debug("Failed to query DB for ACP session %s", session_id, exc_info=True)
return None
if row is None:
return None
# Only restore ACP sessions.
if row.get("source") != "acp":
return None
# Extract cwd from model_config.
cwd = "."
requested_provider = row.get("billing_provider")
restored_base_url = row.get("billing_base_url")
restored_api_mode = None
mc = row.get("model_config")
if mc:
try:
meta = json.loads(mc)
if isinstance(meta, dict):
cwd = meta.get("cwd", ".")
requested_provider = meta.get("provider") or requested_provider
restored_base_url = meta.get("base_url") or restored_base_url
restored_api_mode = meta.get("api_mode") or restored_api_mode
except (json.JSONDecodeError, TypeError):
pass
model = row.get("model") or None
# Load conversation history.
try:
history = db.get_messages_as_conversation(session_id)
except Exception:
logger.warning("Failed to load messages for ACP session %s", session_id, exc_info=True)
history = []
try:
agent = self._make_agent(
session_id=session_id,
cwd=cwd,
model=model,
requested_provider=requested_provider,
base_url=restored_base_url,
api_mode=restored_api_mode,
)
except Exception:
logger.warning("Failed to recreate agent for ACP session %s", session_id, exc_info=True)
return None
state = SessionState(
session_id=session_id,
agent=agent,
cwd=cwd,
model=model or getattr(agent, "model", "") or "",
history=history,
cancel_event=threading.Event(),
)
with self._lock:
self._sessions[session_id] = state
_register_task_cwd(session_id, cwd)
logger.info("Restored ACP session %s from DB (%d messages)", session_id, len(history))
return state
def _delete_persisted(self, session_id: str) -> bool:
"""Delete a session from the database. Returns True if it existed."""
db = self._get_db()
if db is None:
return False
try:
return db.delete_session(session_id)
except Exception:
logger.debug("Failed to delete ACP session %s from DB", session_id, exc_info=True)
return False
# ---- internal -----------------------------------------------------------
@@ -413,9 +160,6 @@ class SessionManager:
session_id: str,
cwd: str,
model: str | None = None,
requested_provider: str | None = None,
base_url: str | None = None,
api_mode: str | None = None,
):
if self._agent_factory is not None:
return self._agent_factory()
@@ -427,10 +171,10 @@ class SessionManager:
config = load_config()
model_cfg = config.get("model")
default_model = "anthropic/claude-opus-4.6"
config_provider = None
requested_provider = None
if isinstance(model_cfg, dict):
default_model = str(model_cfg.get("default") or default_model)
config_provider = model_cfg.get("provider")
requested_provider = model_cfg.get("provider")
elif isinstance(model_cfg, str) and model_cfg.strip():
default_model = model_cfg.strip()
@@ -443,15 +187,13 @@ class SessionManager:
}
try:
runtime = resolve_runtime_provider(requested=requested_provider or config_provider)
runtime = resolve_runtime_provider(requested=requested_provider)
kwargs.update(
{
"provider": runtime.get("provider"),
"api_mode": api_mode or runtime.get("api_mode"),
"base_url": base_url or runtime.get("base_url"),
"api_mode": runtime.get("api_mode"),
"base_url": runtime.get("base_url"),
"api_key": runtime.get("api_key"),
"command": runtime.get("command"),
"args": list(runtime.get("args") or []),
}
)
except Exception:

View File

@@ -14,8 +14,6 @@ import json
import logging
import os
from pathlib import Path
from hermes_constants import get_hermes_home
from types import SimpleNamespace
from typing import Any, Dict, List, Optional, Tuple
@@ -35,54 +33,6 @@ ADAPTIVE_EFFORT_MAP = {
"minimal": "low",
}
# ── Max output token limits per Anthropic model ───────────────────────
# Source: Anthropic docs + Cline model catalog. Anthropic's API requires
# max_tokens as a mandatory field. Previously we hardcoded 16384, which
# starves thinking-enabled models (thinking tokens count toward the limit).
_ANTHROPIC_OUTPUT_LIMITS = {
# Claude 4.6
"claude-opus-4-6": 128_000,
"claude-sonnet-4-6": 64_000,
# Claude 4.5
"claude-opus-4-5": 64_000,
"claude-sonnet-4-5": 64_000,
"claude-haiku-4-5": 64_000,
# Claude 4
"claude-opus-4": 32_000,
"claude-sonnet-4": 64_000,
# Claude 3.7
"claude-3-7-sonnet": 128_000,
# Claude 3.5
"claude-3-5-sonnet": 8_192,
"claude-3-5-haiku": 8_192,
# Claude 3
"claude-3-opus": 4_096,
"claude-3-sonnet": 4_096,
"claude-3-haiku": 4_096,
}
# For any model not in the table, assume the highest current limit.
# Future Anthropic models are unlikely to have *less* output capacity.
_ANTHROPIC_DEFAULT_OUTPUT_LIMIT = 128_000
def _get_anthropic_max_output(model: str) -> int:
"""Look up the max output token limit for an Anthropic model.
Uses substring matching against _ANTHROPIC_OUTPUT_LIMITS so date-stamped
model IDs (claude-sonnet-4-5-20250929) and variant suffixes (:1m, :fast)
resolve correctly. Longest-prefix match wins to avoid e.g. "claude-3-5"
matching before "claude-3-5-sonnet".
"""
m = model.lower()
best_key = ""
best_val = _ANTHROPIC_DEFAULT_OUTPUT_LIMIT
for key, val in _ANTHROPIC_OUTPUT_LIMITS.items():
if key in m and len(key) > len(best_key):
best_key = key
best_val = val
return best_val
def _supports_adaptive_thinking(model: str) -> bool:
"""Return True for Claude 4.6 models that support adaptive thinking."""
@@ -95,57 +45,14 @@ _COMMON_BETAS = [
"fine-grained-tool-streaming-2025-05-14",
]
# Additional beta headers required for OAuth/subscription auth.
# Matches what Claude Code (and pi-ai / OpenCode) send.
# Additional beta headers required for OAuth/subscription auth
# Both clawdbot and OpenCode include claude-code-20250219 alongside oauth-2025-04-20.
# Without claude-code-20250219, Anthropic's API rejects OAuth tokens with 401.
_OAUTH_ONLY_BETAS = [
"claude-code-20250219",
"oauth-2025-04-20",
]
# Claude Code identity — required for OAuth requests to be routed correctly.
# Without these, Anthropic's infrastructure intermittently 500s OAuth traffic.
# The version must stay reasonably current — Anthropic rejects OAuth requests
# when the spoofed user-agent version is too far behind the actual release.
_CLAUDE_CODE_VERSION_FALLBACK = "2.1.74"
_claude_code_version_cache: Optional[str] = None
def _detect_claude_code_version() -> str:
"""Detect the installed Claude Code version, fall back to a static constant.
Anthropic's OAuth infrastructure validates the user-agent version and may
reject requests with a version that's too old. Detecting dynamically means
users who keep Claude Code updated never hit stale-version 400s.
"""
import subprocess as _sp
for cmd in ("claude", "claude-code"):
try:
result = _sp.run(
[cmd, "--version"],
capture_output=True, text=True, timeout=5,
)
if result.returncode == 0 and result.stdout.strip():
# Output is like "2.1.74 (Claude Code)" or just "2.1.74"
version = result.stdout.strip().split()[0]
if version and version[0].isdigit():
return version
except Exception:
pass
return _CLAUDE_CODE_VERSION_FALLBACK
_CLAUDE_CODE_SYSTEM_PREFIX = "You are Claude Code, Anthropic's official CLI for Claude."
_MCP_TOOL_PREFIX = "mcp_"
def _get_claude_code_version() -> str:
"""Lazily detect the installed Claude Code version when OAuth headers need it."""
global _claude_code_version_cache
if _claude_code_version_cache is None:
_claude_code_version_cache = _detect_claude_code_version()
return _claude_code_version_cache
def _is_oauth_token(key: str) -> bool:
"""Check if the key is an OAuth/setup token (not a regular Console API key).
@@ -181,16 +88,10 @@ def build_anthropic_client(api_key: str, base_url: str = None):
kwargs["base_url"] = base_url
if _is_oauth_token(api_key):
# OAuth access token / setup-token → Bearer auth + Claude Code identity.
# Anthropic routes OAuth requests based on user-agent and headers;
# without Claude Code's fingerprint, requests get intermittent 500s.
# OAuth access token / setup-token → Bearer auth + beta headers
all_betas = _COMMON_BETAS + _OAUTH_ONLY_BETAS
kwargs["auth_token"] = api_key
kwargs["default_headers"] = {
"anthropic-beta": ",".join(all_betas),
"user-agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
"x-app": "cli",
}
kwargs["default_headers"] = {"anthropic-beta": ",".join(all_betas)}
else:
# Regular API key → x-api-key header + common betas
kwargs["api_key"] = api_key
@@ -266,12 +167,9 @@ def _refresh_oauth_token(creds: Dict[str, Any]) -> Optional[str]:
Only works for credentials that have a refresh token (from claude /login
or claude setup-token with OAuth flow).
Tries the new platform.claude.com endpoint first (Claude Code >=2.1.81),
then falls back to console.anthropic.com for older tokens.
Returns the new access token, or None if refresh fails.
"""
import time
import urllib.parse
import urllib.request
refresh_token = creds.get("refreshToken", "")
@@ -282,42 +180,35 @@ def _refresh_oauth_token(creds: Dict[str, Any]) -> Optional[str]:
# Client ID used by Claude Code's OAuth flow
CLIENT_ID = "9d1c250a-e61b-44d9-88ed-5944d1962f5e"
# Anthropic migrated OAuth from console.anthropic.com to platform.claude.com
# (Claude Code v2.1.81+). Try new endpoint first, fall back to old.
token_endpoints = [
"https://platform.claude.com/v1/oauth/token",
"https://console.anthropic.com/v1/oauth/token",
]
payload = json.dumps({
data = urllib.parse.urlencode({
"grant_type": "refresh_token",
"refresh_token": refresh_token,
"client_id": CLIENT_ID,
}).encode()
headers = {
"Content-Type": "application/json",
"User-Agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
}
req = urllib.request.Request(
"https://console.anthropic.com/v1/oauth/token",
data=data,
headers={"Content-Type": "application/x-www-form-urlencoded"},
method="POST",
)
for endpoint in token_endpoints:
req = urllib.request.Request(
endpoint, data=payload, headers=headers, method="POST",
)
try:
with urllib.request.urlopen(req, timeout=10) as resp:
result = json.loads(resp.read().decode())
new_access = result.get("access_token", "")
new_refresh = result.get("refresh_token", refresh_token)
expires_in = result.get("expires_in", 3600)
try:
with urllib.request.urlopen(req, timeout=10) as resp:
result = json.loads(resp.read().decode())
new_access = result.get("access_token", "")
new_refresh = result.get("refresh_token", refresh_token)
expires_in = result.get("expires_in", 3600) # seconds
if new_access:
new_expires_ms = int(time.time() * 1000) + (expires_in * 1000)
_write_claude_code_credentials(new_access, new_refresh, new_expires_ms)
logger.debug("Refreshed Claude Code OAuth token via %s", endpoint)
return new_access
except Exception as e:
logger.debug("Token refresh failed at %s: %s", endpoint, e)
if new_access:
import time
new_expires_ms = int(time.time() * 1000) + (expires_in * 1000)
# Write refreshed credentials back to ~/.claude/.credentials.json
_write_claude_code_credentials(new_access, new_refresh, new_expires_ms)
logger.debug("Successfully refreshed Claude Code OAuth token")
return new_access
except Exception as e:
logger.debug("Failed to refresh Claude Code token: %s", e)
return None
@@ -495,32 +386,24 @@ def run_oauth_setup_token() -> Optional[str]:
return None
# ---------------------------------------------------------------------------
# Message / tool / response format conversion
# ---------------------------------------------------------------------------
def normalize_model_name(model: str, preserve_dots: bool = False) -> str:
def normalize_model_name(model: str) -> str:
"""Normalize a model name for the Anthropic API.
- Strips 'anthropic/' prefix (OpenRouter format, case-insensitive)
- Converts dots to hyphens in version numbers (OpenRouter uses dots,
Anthropic uses hyphens: claude-opus-4.6 → claude-opus-4-6), unless
preserve_dots is True (e.g. for Alibaba/DashScope: qwen3.5-plus).
Anthropic uses hyphens: claude-opus-4.6 → claude-opus-4-6)
"""
lower = model.lower()
if lower.startswith("anthropic/"):
model = model[len("anthropic/"):]
if not preserve_dots:
# OpenRouter uses dots for version separators (claude-opus-4.6),
# Anthropic uses hyphens (claude-opus-4-6). Convert dots to hyphens.
model = model.replace(".", "-")
# OpenRouter uses dots for version separators (claude-opus-4.6),
# Anthropic uses hyphens (claude-opus-4-6). Convert dots to hyphens.
model = model.replace(".", "-")
return model
@@ -716,8 +599,6 @@ def convert_messages_to_anthropic(
else:
blocks.append({"type": "text", "text": str(content)})
for tc in m.get("tool_calls", []):
if not tc or not isinstance(tc, dict):
continue
fn = tc.get("function", {})
args = fn.get("arguments", "{}")
try:
@@ -762,21 +643,14 @@ def convert_messages_to_anthropic(
result.append({"role": "user", "content": [tool_result]})
continue
# Regular user message — validate non-empty content (Anthropic rejects empty)
# Regular user message
if isinstance(content, list):
converted_blocks = _convert_content_to_anthropic(content)
# Check if all text blocks are empty
if not converted_blocks or all(
b.get("text", "").strip() == ""
for b in converted_blocks
if isinstance(b, dict) and b.get("type") == "text"
):
converted_blocks = [{"type": "text", "text": "(empty message)"}]
result.append({"role": "user", "content": converted_blocks})
result.append({
"role": "user",
"content": converted_blocks or [{"type": "text", "text": ""}],
})
else:
# Validate string content is non-empty
if not content or (isinstance(content, str) and not content.strip()):
content = "(empty message)"
result.append({"role": "user", "content": content})
# Strip orphaned tool_use blocks (no matching tool_result follows)
@@ -796,26 +670,6 @@ def convert_messages_to_anthropic(
if not m["content"]:
m["content"] = [{"type": "text", "text": "(tool call removed)"}]
# Strip orphaned tool_result blocks (no matching tool_use precedes them).
# This is the mirror of the above: context compression or session truncation
# can remove an assistant message containing a tool_use while leaving the
# subsequent tool_result intact. Anthropic rejects these with a 400.
tool_use_ids = set()
for m in result:
if m["role"] == "assistant" and isinstance(m["content"], list):
for block in m["content"]:
if block.get("type") == "tool_use":
tool_use_ids.add(block.get("id"))
for m in result:
if m["role"] == "user" and isinstance(m["content"], list):
m["content"] = [
b
for b in m["content"]
if b.get("type") != "tool_result" or b.get("tool_use_id") in tool_use_ids
]
if not m["content"]:
m["content"] = [{"type": "text", "text": "(tool result removed)"}]
# Enforce strict role alternation (Anthropic rejects consecutive same-role messages)
fixed = []
for m in result:
@@ -844,12 +698,8 @@ def convert_messages_to_anthropic(
elif isinstance(prev_blocks, str) and isinstance(curr_blocks, str):
fixed[-1]["content"] = prev_blocks + "\n" + curr_blocks
else:
# Mixed types — normalize both to list and merge
if isinstance(prev_blocks, str):
prev_blocks = [{"type": "text", "text": prev_blocks}]
if isinstance(curr_blocks, str):
curr_blocks = [{"type": "text", "text": curr_blocks}]
fixed[-1]["content"] = prev_blocks + curr_blocks
# Keep the later message
fixed[-1] = m
else:
fixed.append(m)
result = fixed
@@ -864,73 +714,13 @@ def build_anthropic_kwargs(
max_tokens: Optional[int],
reasoning_config: Optional[Dict[str, Any]],
tool_choice: Optional[str] = None,
is_oauth: bool = False,
preserve_dots: bool = False,
context_length: Optional[int] = None,
) -> Dict[str, Any]:
"""Build kwargs for anthropic.messages.create().
When *max_tokens* is None, the model's native output limit is used
(e.g. 128K for Opus 4.6, 64K for Sonnet 4.6). If *context_length*
is provided, the effective limit is clamped so it doesn't exceed
the context window.
When *is_oauth* is True, applies Claude Code compatibility transforms:
system prompt prefix, tool name prefixing, and prompt sanitization.
When *preserve_dots* is True, model name dots are not converted to hyphens
(for Alibaba/DashScope anthropic-compatible endpoints: qwen3.5-plus).
"""
"""Build kwargs for anthropic.messages.create()."""
system, anthropic_messages = convert_messages_to_anthropic(messages)
anthropic_tools = convert_tools_to_anthropic(tools) if tools else []
model = normalize_model_name(model, preserve_dots=preserve_dots)
effective_max_tokens = max_tokens or _get_anthropic_max_output(model)
# Clamp to context window if the user set a lower context_length
# (e.g. custom endpoint with limited capacity).
if context_length and effective_max_tokens > context_length:
effective_max_tokens = max(context_length - 1, 1)
# ── OAuth: Claude Code identity ──────────────────────────────────
if is_oauth:
# 1. Prepend Claude Code system prompt identity
cc_block = {"type": "text", "text": _CLAUDE_CODE_SYSTEM_PREFIX}
if isinstance(system, list):
system = [cc_block] + system
elif isinstance(system, str) and system:
system = [cc_block, {"type": "text", "text": system}]
else:
system = [cc_block]
# 2. Sanitize system prompt — replace product name references
# to avoid Anthropic's server-side content filters.
for block in system:
if isinstance(block, dict) and block.get("type") == "text":
text = block.get("text", "")
text = text.replace("Hermes Agent", "Claude Code")
text = text.replace("Hermes agent", "Claude Code")
text = text.replace("hermes-agent", "claude-code")
text = text.replace("Nous Research", "Anthropic")
block["text"] = text
# 3. Prefix tool names with mcp_ (Claude Code convention)
if anthropic_tools:
for tool in anthropic_tools:
if "name" in tool:
tool["name"] = _MCP_TOOL_PREFIX + tool["name"]
# 4. Prefix tool names in message history (tool_use and tool_result blocks)
for msg in anthropic_messages:
content = msg.get("content")
if isinstance(content, list):
for block in content:
if isinstance(block, dict):
if block.get("type") == "tool_use" and "name" in block:
if not block["name"].startswith(_MCP_TOOL_PREFIX):
block["name"] = _MCP_TOOL_PREFIX + block["name"]
elif block.get("type") == "tool_result" and "tool_use_id" in block:
pass # tool_result uses ID, not name
model = normalize_model_name(model)
effective_max_tokens = max_tokens or 16384
kwargs: Dict[str, Any] = {
"model": model,
@@ -949,8 +739,7 @@ def build_anthropic_kwargs(
elif tool_choice == "required":
kwargs["tool_choice"] = {"type": "any"}
elif tool_choice == "none":
# Anthropic has no tool_choice "none" — omit tools entirely to prevent use
kwargs.pop("tools", None)
pass # Don't send tool_choice — Anthropic will use tools if needed
elif isinstance(tool_choice, str):
# Specific tool name
kwargs["tool_choice"] = {"type": "tool", "name": tool_choice}
@@ -979,15 +768,11 @@ def build_anthropic_kwargs(
def normalize_anthropic_response(
response,
strip_tool_prefix: bool = False,
) -> Tuple[SimpleNamespace, str]:
"""Normalize Anthropic response to match the shape expected by AIAgent.
Returns (assistant_message, finish_reason) where assistant_message has
.content, .tool_calls, and .reasoning attributes.
When *strip_tool_prefix* is True, removes the ``mcp_`` prefix that was
added to tool names for OAuth Claude Code compatibility.
"""
text_parts = []
reasoning_parts = []
@@ -999,15 +784,12 @@ def normalize_anthropic_response(
elif block.type == "thinking":
reasoning_parts.append(block.thinking)
elif block.type == "tool_use":
name = block.name
if strip_tool_prefix and name.startswith(_MCP_TOOL_PREFIX):
name = name[len(_MCP_TOOL_PREFIX):]
tool_calls.append(
SimpleNamespace(
id=block.id,
type="function",
function=SimpleNamespace(
name=name,
name=block.name,
arguments=json.dumps(block.input),
),
)

View File

@@ -39,9 +39,7 @@ custom OpenAI-compatible endpoint without touching the main model settings.
import json
import logging
import os
import threading
import time
from pathlib import Path # noqa: F401 — used by test mocks
from pathlib import Path
from types import SimpleNamespace
from typing import Any, Dict, List, Optional, Tuple
@@ -56,13 +54,9 @@ logger = logging.getLogger(__name__)
_API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
"zai": "glm-4.5-flash",
"kimi-coding": "kimi-k2-turbo-preview",
"minimax": "MiniMax-M2.7-highspeed",
"minimax-cn": "MiniMax-M2.7-highspeed",
"minimax": "MiniMax-M2.5-highspeed",
"minimax-cn": "MiniMax-M2.5-highspeed",
"anthropic": "claude-haiku-4-5-20251001",
"ai-gateway": "google/gemini-3-flash",
"opencode-zen": "gemini-3-flash",
"opencode-go": "glm-5",
"kilocode": "google/gemini-3-flash-preview",
}
# OpenRouter app attribution headers
@@ -82,7 +76,7 @@ auxiliary_is_nous: bool = False
# Default auxiliary models per provider
_OPENROUTER_MODEL = "google/gemini-3-flash-preview"
_NOUS_MODEL = "google/gemini-3-flash-preview"
_NOUS_MODEL = "gemini-3-flash"
_NOUS_DEFAULT_BASE_URL = "https://inference-api.nousresearch.com/v1"
_ANTHROPIC_DEFAULT_BASE_URL = "https://api.anthropic.com"
_AUTH_JSON_PATH = get_hermes_home() / "auth.json"
@@ -326,10 +320,9 @@ class AsyncCodexAuxiliaryClient:
class _AnthropicCompletionsAdapter:
"""OpenAI-client-compatible adapter for Anthropic Messages API."""
def __init__(self, real_client: Any, model: str, is_oauth: bool = False):
def __init__(self, real_client: Any, model: str):
self._client = real_client
self._model = model
self._is_oauth = is_oauth
def create(self, **kwargs) -> Any:
from agent.anthropic_adapter import build_anthropic_kwargs, normalize_anthropic_response
@@ -358,7 +351,6 @@ class _AnthropicCompletionsAdapter:
max_tokens=max_tokens,
reasoning_config=None,
tool_choice=normalized_tool_choice,
is_oauth=self._is_oauth,
)
if temperature is not None:
anthropic_kwargs["temperature"] = temperature
@@ -397,9 +389,9 @@ class _AnthropicChatShim:
class AnthropicAuxiliaryClient:
"""OpenAI-client-compatible wrapper over a native Anthropic client."""
def __init__(self, real_client: Any, model: str, api_key: str, base_url: str, is_oauth: bool = False):
def __init__(self, real_client: Any, model: str, api_key: str, base_url: str):
self._real_client = real_client
adapter = _AnthropicCompletionsAdapter(real_client, model, is_oauth=is_oauth)
adapter = _AnthropicCompletionsAdapter(real_client, model)
self.chat = _AnthropicChatShim(adapter)
self.api_key = api_key
self.base_url = base_url
@@ -466,30 +458,15 @@ def _nous_base_url() -> str:
def _read_codex_access_token() -> Optional[str]:
"""Read a valid, non-expired Codex OAuth access token from Hermes auth store."""
"""Read a valid Codex OAuth access token from Hermes auth store (~/.hermes/auth.json)."""
try:
from hermes_cli.auth import _read_codex_tokens
data = _read_codex_tokens()
tokens = data.get("tokens", {})
access_token = tokens.get("access_token")
if not isinstance(access_token, str) or not access_token.strip():
return None
# Check JWT expiry — expired tokens block the auto chain and
# prevent fallback to working providers (e.g. Anthropic).
try:
import base64
payload = access_token.split(".")[1]
payload += "=" * (-len(payload) % 4)
claims = json.loads(base64.urlsafe_b64decode(payload))
exp = claims.get("exp", 0)
if exp and time.time() > exp:
logger.debug("Codex access token expired (exp=%s), skipping", exp)
return None
except Exception:
pass # Non-JWT token or decode error — use as-is
return access_token.strip()
if isinstance(access_token, str) and access_token.strip():
return access_token.strip()
return None
except Exception as exc:
logger.debug("Could not read Codex auth for auxiliary client: %s", exc)
return None
@@ -498,11 +475,11 @@ def _read_codex_access_token() -> Optional[str]:
def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
"""Try each API-key provider in PROVIDER_REGISTRY order.
Returns (client, model) for the first provider with usable runtime
credentials, or (None, None) if none are configured.
Returns (client, model) for the first provider whose env var is set,
or (None, None) if none are configured.
"""
try:
from hermes_cli.auth import PROVIDER_REGISTRY, resolve_api_key_provider_credentials
from hermes_cli.auth import PROVIDER_REGISTRY
except ImportError:
logger.debug("Could not import PROVIDER_REGISTRY for API-key fallback")
return None, None
@@ -510,24 +487,34 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
for provider_id, pconfig in PROVIDER_REGISTRY.items():
if pconfig.auth_type != "api_key":
continue
# Check if any of the provider's env vars are set
api_key = ""
for env_var in pconfig.api_key_env_vars:
val = os.getenv(env_var, "").strip()
if val:
api_key = val
break
if not api_key:
continue
if provider_id == "anthropic":
return _try_anthropic()
creds = resolve_api_key_provider_credentials(provider_id)
api_key = str(creds.get("api_key", "")).strip()
if not api_key:
continue
base_url = str(creds.get("base_url", "")).strip().rstrip("/") or pconfig.inference_base_url
# Resolve base URL (with optional env-var override)
# Kimi Code keys (sk-kimi-) need api.kimi.com/coding/v1
env_url = ""
if pconfig.base_url_env_var:
env_url = os.getenv(pconfig.base_url_env_var, "").strip()
if env_url:
base_url = env_url.rstrip("/")
elif provider_id == "kimi-coding" and api_key.startswith("sk-kimi-"):
base_url = "https://api.kimi.com/coding/v1"
else:
base_url = pconfig.inference_base_url
model = _API_KEY_PROVIDER_AUX_MODELS.get(provider_id, "default")
logger.debug("Auxiliary text client: %s (%s)", pconfig.name, model)
extra = {}
if "api.kimi.com" in base_url.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.0"}
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
return OpenAI(api_key=api_key, base_url=base_url, **extra), model
return None, None
@@ -627,6 +614,8 @@ def _resolve_custom_runtime() -> Tuple[Optional[str], Optional[str]]:
custom_key = runtime.get("api_key")
if not isinstance(custom_base, str) or not custom_base.strip():
return None, None
if not isinstance(custom_key, str) or not custom_key.strip():
return None, None
custom_base = custom_base.strip().rstrip("/")
if "openrouter.ai" in custom_base.lower():
@@ -634,13 +623,6 @@ def _resolve_custom_runtime() -> Tuple[Optional[str], Optional[str]]:
# configured. Treat that as "no custom endpoint" for auxiliary routing.
return None, None
# Local servers (Ollama, llama.cpp, vLLM, LM Studio) don't require auth.
# Use a placeholder key — the OpenAI SDK requires a non-empty string but
# local servers ignore the Authorization header. Same fix as cli.py
# _ensure_runtime_credentials() (PR #2556).
if not isinstance(custom_key, str) or not custom_key.strip():
custom_key = "no-key-required"
return custom_base, custom_key.strip()
@@ -677,35 +659,10 @@ def _try_anthropic() -> Tuple[Optional[Any], Optional[str]]:
if not token:
return None, None
# Allow base URL override from config.yaml model.base_url, but only
# when the configured provider is anthropic — otherwise a non-Anthropic
# base_url (e.g. Codex endpoint) would leak into Anthropic requests.
base_url = _ANTHROPIC_DEFAULT_BASE_URL
try:
from hermes_cli.config import load_config
cfg = load_config()
model_cfg = cfg.get("model")
if isinstance(model_cfg, dict):
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
if cfg_provider == "anthropic":
cfg_base_url = (model_cfg.get("base_url") or "").strip().rstrip("/")
if cfg_base_url:
base_url = cfg_base_url
except Exception:
pass
from agent.anthropic_adapter import _is_oauth_token
is_oauth = _is_oauth_token(token)
model = _API_KEY_PROVIDER_AUX_MODELS.get("anthropic", "claude-haiku-4-5-20251001")
logger.debug("Auxiliary client: Anthropic native (%s) at %s (oauth=%s)", model, base_url, is_oauth)
try:
real_client = build_anthropic_client(token, base_url)
except ImportError:
# The anthropic_adapter module imports fine but the SDK itself is
# missing — build_anthropic_client raises ImportError at call time
# when _anthropic_sdk is None. Treat as unavailable.
return None, None
return AnthropicAuxiliaryClient(real_client, model, token, base_url, is_oauth=is_oauth), model
logger.debug("Auxiliary client: Anthropic native (%s)", model)
real_client = build_anthropic_client(token, _ANTHROPIC_DEFAULT_BASE_URL)
return AnthropicAuxiliaryClient(real_client, model, token, _ANTHROPIC_DEFAULT_BASE_URL), model
def _resolve_forced_provider(forced: str) -> Tuple[Optional[OpenAI], Optional[str]]:
@@ -742,37 +699,14 @@ def _resolve_forced_provider(forced: str) -> Tuple[Optional[OpenAI], Optional[st
return None, None
_AUTO_PROVIDER_LABELS = {
"_try_openrouter": "openrouter",
"_try_nous": "nous",
"_try_custom_endpoint": "local/custom",
"_try_codex": "openai-codex",
"_resolve_api_key_provider": "api-key",
}
def _resolve_auto() -> Tuple[Optional[OpenAI], Optional[str]]:
"""Full auto-detection chain: OpenRouter → Nous → custom → Codex → API-key → None."""
global auxiliary_is_nous
auxiliary_is_nous = False # Reset — _try_nous() will set True if it wins
tried = []
for try_fn in (_try_openrouter, _try_nous, _try_custom_endpoint,
_try_codex, _resolve_api_key_provider):
fn_name = getattr(try_fn, "__name__", "unknown")
label = _AUTO_PROVIDER_LABELS.get(fn_name, fn_name)
client, model = try_fn()
if client is not None:
if tried:
logger.info("Auxiliary auto-detect: using %s (%s) — skipped: %s",
label, model or "default", ", ".join(tried))
else:
logger.info("Auxiliary auto-detect: using %s (%s)", label, model or "default")
return client, model
tried.append(label)
logger.warning("Auxiliary auto-detect: no provider available (tried: %s). "
"Compression, summarization, and memory flush will not work. "
"Set OPENROUTER_API_KEY or configure a local model in config.yaml.",
", ".join(tried))
logger.debug("Auxiliary client: none available")
return None, None
@@ -803,10 +737,6 @@ def _to_async_client(sync_client, model: str):
base_lower = str(sync_client.base_url).lower()
if "openrouter" in base_lower:
async_kwargs["default_headers"] = dict(_OR_HEADERS)
elif "api.githubcopilot.com" in base_lower:
from hermes_cli.models import copilot_default_headers
async_kwargs["default_headers"] = copilot_default_headers()
elif "api.kimi.com" in base_lower:
async_kwargs["default_headers"] = {"User-Agent": "KimiCLI/1.0"}
return AsyncOpenAI(**async_kwargs), model
@@ -923,12 +853,11 @@ def resolve_provider_client(
custom_key = (
(explicit_api_key or "").strip()
or os.getenv("OPENAI_API_KEY", "").strip()
or "no-key-required" # local servers don't need auth
)
if not custom_base:
if not custom_base or not custom_key:
logger.warning(
"resolve_provider_client: explicit custom endpoint requested "
"but base_url is empty"
"but no API key was found (set explicit_api_key or OPENAI_API_KEY)"
)
return None, None
final_model = model or _read_main_model() or "gpt-4o-mini"
@@ -949,7 +878,7 @@ def resolve_provider_client(
# ── API-key providers from PROVIDER_REGISTRY ─────────────────────
try:
from hermes_cli.auth import PROVIDER_REGISTRY, resolve_api_key_provider_credentials
from hermes_cli.auth import PROVIDER_REGISTRY, _resolve_kimi_base_url
except ImportError:
logger.debug("hermes_cli.auth not available for provider %s", provider)
return None, None
@@ -968,18 +897,26 @@ def resolve_provider_client(
final_model = model or default_model
return (_to_async_client(client, final_model) if async_mode else (client, final_model))
creds = resolve_api_key_provider_credentials(provider)
api_key = str(creds.get("api_key", "")).strip()
# Find the first configured API key
api_key = ""
for env_var in pconfig.api_key_env_vars:
api_key = os.getenv(env_var, "").strip()
if api_key:
break
if not api_key:
tried_sources = list(pconfig.api_key_env_vars)
if provider == "copilot":
tried_sources.append("gh auth token")
logger.warning("resolve_provider_client: provider %s has no API "
"key configured (tried: %s)",
provider, ", ".join(tried_sources))
provider, ", ".join(pconfig.api_key_env_vars))
return None, None
base_url = str(creds.get("base_url", "")).strip().rstrip("/") or pconfig.inference_base_url
# Resolve base URL (env override → provider-specific logic → default)
base_url_override = os.getenv(pconfig.base_url_env_var, "").strip() if pconfig.base_url_env_var else ""
if provider == "kimi-coding":
base_url = _resolve_kimi_base_url(api_key, pconfig.inference_base_url, base_url_override)
elif base_url_override:
base_url = base_url_override
else:
base_url = pconfig.inference_base_url
default_model = _API_KEY_PROVIDER_AUX_MODELS.get(provider, "")
final_model = model or default_model
@@ -988,10 +925,6 @@ def resolve_provider_client(
headers = {}
if "api.kimi.com" in base_url.lower():
headers["User-Agent"] = "KimiCLI/1.0"
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
headers.update(copilot_default_headers())
client = OpenAI(api_key=api_key, base_url=base_url,
**({"default_headers": headers} if headers else {}))
@@ -1164,13 +1097,7 @@ def resolve_vision_provider_client(
return "custom", client, final_model
if requested == "auto":
ordered = list(_VISION_AUTO_PROVIDER_ORDER)
preferred = _preferred_main_vision_provider()
if preferred in ordered:
ordered.remove(preferred)
ordered.insert(0, preferred)
for candidate in ordered:
for candidate in get_available_vision_backends():
sync_client, default_model = _resolve_strict_vision_backend(candidate)
if sync_client is not None:
return _finalize(candidate, sync_client, default_model)
@@ -1240,106 +1167,6 @@ def auxiliary_max_tokens_param(value: int) -> dict:
# Client cache: (provider, async_mode, base_url, api_key) -> (client, default_model)
_client_cache: Dict[tuple, tuple] = {}
_client_cache_lock = threading.Lock()
def neuter_async_httpx_del() -> None:
"""Monkey-patch ``AsyncHttpxClientWrapper.__del__`` to be a no-op.
The OpenAI SDK's ``AsyncHttpxClientWrapper.__del__`` schedules
``self.aclose()`` via ``asyncio.get_running_loop().create_task()``.
When an ``AsyncOpenAI`` client is garbage-collected while
prompt_toolkit's event loop is running (the common CLI idle state),
the ``aclose()`` task runs on prompt_toolkit's loop but the
underlying TCP transport is bound to a *different* loop (the worker
thread's loop that the client was originally created on). If that
loop is closed or its thread is dead, the transport's
``self._loop.call_soon()`` raises ``RuntimeError("Event loop is
closed")``, which prompt_toolkit surfaces as "Unhandled exception
in event loop ... Press ENTER to continue...".
Neutering ``__del__`` is safe because:
- Cached clients are explicitly cleaned via ``_force_close_async_httpx``
on stale-loop detection and ``shutdown_cached_clients`` on exit.
- Uncached clients' TCP connections are cleaned up by the OS when the
process exits.
- The OpenAI SDK itself marks this as a TODO (``# TODO(someday):
support non asyncio runtimes here``).
Call this once at CLI startup, before any ``AsyncOpenAI`` clients are
created.
"""
try:
from openai._base_client import AsyncHttpxClientWrapper
AsyncHttpxClientWrapper.__del__ = lambda self: None # type: ignore[assignment]
except (ImportError, AttributeError):
pass # Graceful degradation if the SDK changes its internals
def _force_close_async_httpx(client: Any) -> None:
"""Mark the httpx AsyncClient inside an AsyncOpenAI client as closed.
This prevents ``AsyncHttpxClientWrapper.__del__`` from scheduling
``aclose()`` on a (potentially closed) event loop, which causes
``RuntimeError: Event loop is closed`` → prompt_toolkit's
"Press ENTER to continue..." handler.
We intentionally do NOT run the full async close path — the
connections will be dropped by the OS when the process exits.
"""
try:
from httpx._client import ClientState
inner = getattr(client, "_client", None)
if inner is not None and not getattr(inner, "is_closed", True):
inner._state = ClientState.CLOSED
except Exception:
pass
def shutdown_cached_clients() -> None:
"""Close all cached clients (sync and async) to prevent event-loop errors.
Call this during CLI shutdown, *before* the event loop is closed, to
avoid ``AsyncHttpxClientWrapper.__del__`` raising on a dead loop.
"""
import inspect
with _client_cache_lock:
for key, entry in list(_client_cache.items()):
client = entry[0]
if client is None:
continue
# Mark any async httpx transport as closed first (prevents __del__
# from scheduling aclose() on a dead event loop).
_force_close_async_httpx(client)
# Sync clients: close the httpx connection pool cleanly.
# Async clients: skip — we already neutered __del__ above.
try:
close_fn = getattr(client, "close", None)
if close_fn and not inspect.iscoroutinefunction(close_fn):
close_fn()
except Exception:
pass
_client_cache.clear()
def cleanup_stale_async_clients() -> None:
"""Force-close cached async clients whose event loop is closed.
Call this after each agent turn to proactively clean up stale clients
before GC can trigger ``AsyncHttpxClientWrapper.__del__`` on them.
This is defense-in-depth — the primary fix is ``neuter_async_httpx_del``
which disables ``__del__`` entirely.
"""
with _client_cache_lock:
stale_keys = []
for key, entry in _client_cache.items():
client, _default, cached_loop = entry
if cached_loop is not None and cached_loop.is_closed():
_force_close_async_httpx(client)
stale_keys.append(key)
for key in stale_keys:
del _client_cache[key]
def _get_cached_client(
@@ -1349,44 +1176,11 @@ def _get_cached_client(
base_url: str = None,
api_key: str = None,
) -> Tuple[Optional[Any], Optional[str]]:
"""Get or create a cached client for the given provider.
Async clients (AsyncOpenAI) use httpx.AsyncClient internally, which
binds to the event loop that was current when the client was created.
Using such a client on a *different* loop causes deadlocks or
RuntimeError. To prevent cross-loop issues (especially in gateway
mode where _run_async() may spawn fresh loops in worker threads), the
cache key for async clients includes the current event loop's identity
so each loop gets its own client instance.
"""
# Include loop identity for async clients to prevent cross-loop reuse.
# httpx.AsyncClient (inside AsyncOpenAI) is bound to the loop where it
# was created — reusing it on a different loop causes deadlocks (#2681).
loop_id = 0
current_loop = None
if async_mode:
try:
import asyncio as _aio
current_loop = _aio.get_event_loop()
loop_id = id(current_loop)
except RuntimeError:
pass
cache_key = (provider, async_mode, base_url or "", api_key or "", loop_id)
with _client_cache_lock:
if cache_key in _client_cache:
cached_client, cached_default, cached_loop = _client_cache[cache_key]
if async_mode:
# A cached async client whose loop has been closed will raise
# "Event loop is closed" when httpx tries to clean up its
# transport. Discard the stale client and create a fresh one.
if cached_loop is not None and cached_loop.is_closed():
_force_close_async_httpx(cached_client)
del _client_cache[cache_key]
else:
return cached_client, model or cached_default
else:
return cached_client, model or cached_default
# Build outside the lock
"""Get or create a cached client for the given provider."""
cache_key = (provider, async_mode, base_url or "", api_key or "")
if cache_key in _client_cache:
cached_client, cached_default = _client_cache[cache_key]
return cached_client, model or cached_default
client, default_model = resolve_provider_client(
provider,
model,
@@ -1395,14 +1189,7 @@ def _get_cached_client(
explicit_api_key=api_key,
)
if client is not None:
# For async clients, remember which loop they were created on so we
# can detect stale entries later.
bound_loop = current_loop
with _client_cache_lock:
if cache_key not in _client_cache:
_client_cache[cache_key] = (client, default_model, bound_loop)
else:
client, default_model, _ = _client_cache[cache_key]
_client_cache[cache_key] = (client, default_model)
return client, model or default_model
@@ -1447,16 +1234,12 @@ def _resolve_task_provider_model(
cfg_base_url = str(task_config.get("base_url", "")).strip() or None
cfg_api_key = str(task_config.get("api_key", "")).strip() or None
# Backwards compat: compression section has its own keys.
# The auxiliary.compression defaults to provider="auto", so treat
# both None and "auto" as "not explicitly configured".
if task == "compression" and (not cfg_provider or cfg_provider == "auto"):
# Backwards compat: compression section has its own keys
if task == "compression" and not cfg_provider:
comp = config.get("compression", {}) if isinstance(config, dict) else {}
if isinstance(comp, dict):
cfg_provider = comp.get("summary_provider", "").strip() or None
cfg_model = cfg_model or comp.get("summary_model", "").strip() or None
_sbu = comp.get("summary_base_url") or ""
cfg_base_url = cfg_base_url or _sbu.strip() or None
env_model = _get_auxiliary_env_override(task, "MODEL") if task else None
resolved_model = model or env_model or cfg_model
@@ -1485,29 +1268,6 @@ def _resolve_task_provider_model(
return "auto", resolved_model, None, None
_DEFAULT_AUX_TIMEOUT = 30.0
def _get_task_timeout(task: str, default: float = _DEFAULT_AUX_TIMEOUT) -> float:
"""Read timeout from auxiliary.{task}.timeout in config, falling back to *default*."""
if not task:
return default
try:
from hermes_cli.config import load_config
config = load_config()
except ImportError:
return default
aux = config.get("auxiliary", {}) if isinstance(config, dict) else {}
task_config = aux.get(task, {}) if isinstance(aux, dict) else {}
raw = task_config.get("timeout")
if raw is not None:
try:
return float(raw)
except (ValueError, TypeError):
pass
return default
def _build_call_kwargs(
provider: str,
model: str,
@@ -1565,7 +1325,7 @@ def call_llm(
temperature: float = None,
max_tokens: int = None,
tools: list = None,
timeout: float = None,
timeout: float = 30.0,
extra_body: dict = None,
) -> Any:
"""Centralized synchronous LLM call.
@@ -1583,7 +1343,7 @@ def call_llm(
temperature: Sampling temperature (None = provider default).
max_tokens: Max output tokens (handles max_tokens vs max_completion_tokens).
tools: Tool definitions (for function calling).
timeout: Request timeout in seconds (None = read from auxiliary.{task}.timeout config).
timeout: Request timeout in seconds.
extra_body: Additional request body fields.
Returns:
@@ -1627,20 +1387,10 @@ def call_llm(
api_key=resolved_api_key,
)
if client is None:
# When the user explicitly chose a non-OpenRouter provider but no
# credentials were found, fail fast instead of silently routing
# through OpenRouter (which causes confusing 404s).
_explicit = (resolved_provider or "").strip().lower()
if _explicit and _explicit not in ("auto", "openrouter", "custom"):
raise RuntimeError(
f"Provider '{_explicit}' is set in config.yaml but no API key "
f"was found. Set the {_explicit.upper()}_API_KEY environment "
f"variable, or switch to a different provider with `hermes model`."
)
# For auto/custom, fall back to OpenRouter
if not resolved_base_url:
logger.info("Auxiliary %s: provider %s unavailable, falling back to openrouter",
task or "call", resolved_provider)
# Fallback: try openrouter
if resolved_provider != "openrouter" and not resolved_base_url:
logger.warning("Provider %s unavailable, falling back to openrouter",
resolved_provider)
client, final_model = _get_cached_client(
"openrouter", resolved_model or _OPENROUTER_MODEL)
if client is None:
@@ -1648,19 +1398,10 @@ def call_llm(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
f"Run: hermes setup")
effective_timeout = timeout if timeout is not None else _get_task_timeout(task)
# Log what we're about to do — makes auxiliary operations visible
_base_info = str(getattr(client, "base_url", resolved_base_url) or "")
if task:
logger.info("Auxiliary %s: using %s (%s)%s",
task, resolved_provider or "auto", final_model or "default",
f" at {_base_info}" if _base_info and "openrouter" not in _base_info else "")
kwargs = _build_call_kwargs(
resolved_provider, final_model, messages,
temperature=temperature, max_tokens=max_tokens,
tools=tools, timeout=effective_timeout, extra_body=extra_body,
tools=tools, timeout=timeout, extra_body=extra_body,
base_url=resolved_base_url)
# Handle max_tokens vs max_completion_tokens retry
@@ -1675,62 +1416,6 @@ def call_llm(
raise
def extract_content_or_reasoning(response) -> str:
"""Extract content from an LLM response, falling back to reasoning fields.
Mirrors the main agent loop's behavior when a reasoning model (DeepSeek-R1,
Qwen-QwQ, etc.) returns ``content=None`` with reasoning in structured fields.
Resolution order:
1. ``message.content`` — strip inline think/reasoning blocks, check for
remaining non-whitespace text.
2. ``message.reasoning`` / ``message.reasoning_content`` — direct
structured reasoning fields (DeepSeek, Moonshot, Novita, etc.).
3. ``message.reasoning_details`` — OpenRouter unified array format.
Returns the best available text, or ``""`` if nothing found.
"""
import re
msg = response.choices[0].message
content = (msg.content or "").strip()
if content:
# Strip inline think/reasoning blocks (mirrors _strip_think_blocks)
cleaned = re.sub(
r"<(?:think|thinking|reasoning|REASONING_SCRATCHPAD)>"
r".*?"
r"</(?:think|thinking|reasoning|REASONING_SCRATCHPAD)>",
"", content, flags=re.DOTALL | re.IGNORECASE,
).strip()
if cleaned:
return cleaned
# Content is empty or reasoning-only — try structured reasoning fields
reasoning_parts: list[str] = []
for field in ("reasoning", "reasoning_content"):
val = getattr(msg, field, None)
if val and isinstance(val, str) and val.strip() and val not in reasoning_parts:
reasoning_parts.append(val.strip())
details = getattr(msg, "reasoning_details", None)
if details and isinstance(details, list):
for detail in details:
if isinstance(detail, dict):
summary = (
detail.get("summary")
or detail.get("content")
or detail.get("text")
)
if summary and summary not in reasoning_parts:
reasoning_parts.append(summary.strip() if isinstance(summary, str) else str(summary))
if reasoning_parts:
return "\n\n".join(reasoning_parts)
return ""
async def async_call_llm(
task: str = None,
*,
@@ -1742,7 +1427,7 @@ async def async_call_llm(
temperature: float = None,
max_tokens: int = None,
tools: list = None,
timeout: float = None,
timeout: float = 30.0,
extra_body: dict = None,
) -> Any:
"""Centralized asynchronous LLM call.
@@ -1785,14 +1470,7 @@ async def async_call_llm(
api_key=resolved_api_key,
)
if client is None:
_explicit = (resolved_provider or "").strip().lower()
if _explicit and _explicit not in ("auto", "openrouter", "custom"):
raise RuntimeError(
f"Provider '{_explicit}' is set in config.yaml but no API key "
f"was found. Set the {_explicit.upper()}_API_KEY environment "
f"variable, or switch to a different provider with `hermes model`."
)
if not resolved_base_url:
if resolved_provider != "openrouter" and not resolved_base_url:
logger.warning("Provider %s unavailable, falling back to openrouter",
resolved_provider)
client, final_model = _get_cached_client(
@@ -1803,12 +1481,10 @@ async def async_call_llm(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
f"Run: hermes setup")
effective_timeout = timeout if timeout is not None else _get_task_timeout(task)
kwargs = _build_call_kwargs(
resolved_provider, final_model, messages,
temperature=temperature, max_tokens=max_tokens,
tools=tools, timeout=effective_timeout, extra_body=extra_body,
tools=tools, timeout=timeout, extra_body=extra_body,
base_url=resolved_base_url)
try:

View File

@@ -1,19 +1,12 @@
"""Automatic context window compression for long conversations.
Self-contained class with its own OpenAI client for summarization.
Uses auxiliary model (cheap/fast) to summarize middle turns while
Uses Gemini Flash (cheap/fast) to summarize middle turns while
protecting head and tail context.
Improvements over v1:
- Structured summary template (Goal, Progress, Decisions, Files, Next Steps)
- Iterative summary updates (preserves info across multiple compactions)
- Token-budget tail protection instead of fixed message count
- Tool output pruning before LLM summarization (cheap pre-pass)
- Scaled summary budget (proportional to compressed content)
- Richer tool call/result detail in summarizer input
"""
import logging
import os
from typing import Any, Dict, List, Optional
from agent.auxiliary_client import call_llm
@@ -34,29 +27,12 @@ SUMMARY_PREFIX = (
)
LEGACY_SUMMARY_PREFIX = "[CONTEXT SUMMARY]:"
# Minimum tokens for the summary output
_MIN_SUMMARY_TOKENS = 2000
# Proportion of compressed content to allocate for summary
_SUMMARY_RATIO = 0.20
# Absolute ceiling for summary tokens (even on very large context windows)
_SUMMARY_TOKENS_CEILING = 12_000
# Placeholder used when pruning old tool results
_PRUNED_TOOL_PLACEHOLDER = "[Old tool output cleared to save context space]"
# Chars per token rough estimate
_CHARS_PER_TOKEN = 4
class ContextCompressor:
"""Compresses conversation context when approaching the model's context limit.
Algorithm:
1. Prune old tool results (cheap, no LLM call)
2. Protect head messages (system prompt + first exchange)
3. Protect tail messages by token budget (most recent ~20K tokens)
4. Summarize middle turns with structured LLM prompt
5. On subsequent compactions, iteratively update the previous summary
Algorithm: protect first N + last N turns, summarize everything in between.
Token tracking uses actual counts from API responses for accuracy.
"""
def __init__(
@@ -64,50 +40,23 @@ class ContextCompressor:
model: str,
threshold_percent: float = 0.50,
protect_first_n: int = 3,
protect_last_n: int = 20,
summary_target_ratio: float = 0.20,
protect_last_n: int = 4,
summary_target_tokens: int = 2500,
quiet_mode: bool = False,
summary_model_override: str = None,
base_url: str = "",
api_key: str = "",
config_context_length: int | None = None,
provider: str = "",
):
self.model = model
self.base_url = base_url
self.api_key = api_key
self.provider = provider
self.threshold_percent = threshold_percent
self.protect_first_n = protect_first_n
self.protect_last_n = protect_last_n
self.summary_target_ratio = max(0.10, min(summary_target_ratio, 0.80))
self.summary_target_tokens = summary_target_tokens
self.quiet_mode = quiet_mode
self.context_length = get_model_context_length(
model, base_url=base_url, api_key=api_key,
config_context_length=config_context_length,
provider=provider,
)
self.context_length = get_model_context_length(model, base_url=base_url)
self.threshold_tokens = int(self.context_length * threshold_percent)
self.compression_count = 0
# Derive token budgets: ratio is relative to the threshold, not total context
target_tokens = int(self.threshold_tokens * self.summary_target_ratio)
self.tail_token_budget = target_tokens
self.max_summary_tokens = min(
int(self.context_length * 0.05), _SUMMARY_TOKENS_CEILING,
)
if not quiet_mode:
logger.info(
"Context compressor initialized: model=%s context_length=%d "
"threshold=%d (%.0f%%) target_ratio=%.0f%% tail_budget=%d "
"provider=%s base_url=%s",
model, self.context_length, self.threshold_tokens,
threshold_percent * 100, self.summary_target_ratio * 100,
self.tail_token_budget,
provider or "none", base_url or "none",
)
self._context_probed = False # True after a step-down from context error
self.last_prompt_tokens = 0
@@ -116,9 +65,6 @@ class ContextCompressor:
self.summary_model = summary_model_override or ""
# Stores the previous compaction summary for iterative updates
self._previous_summary: Optional[str] = None
def update_from_response(self, usage: Dict[str, Any]):
"""Update tracked token usage from API response."""
self.last_prompt_tokens = usage.get("prompt_tokens", 0)
@@ -141,213 +87,57 @@ class ContextCompressor:
"last_prompt_tokens": self.last_prompt_tokens,
"threshold_tokens": self.threshold_tokens,
"context_length": self.context_length,
"usage_percent": min(100, (self.last_prompt_tokens / self.context_length * 100)) if self.context_length else 0,
"usage_percent": (self.last_prompt_tokens / self.context_length * 100) if self.context_length else 0,
"compression_count": self.compression_count,
}
# ------------------------------------------------------------------
# Tool output pruning (cheap pre-pass, no LLM call)
# ------------------------------------------------------------------
def _prune_old_tool_results(
self, messages: List[Dict[str, Any]], protect_tail_count: int,
) -> tuple[List[Dict[str, Any]], int]:
"""Replace old tool result contents with a short placeholder.
Walks backward from the end, protecting the most recent
``protect_tail_count`` messages. Older tool results get their
content replaced with a placeholder string.
Returns (pruned_messages, pruned_count).
"""
if not messages:
return messages, 0
result = [m.copy() for m in messages]
pruned = 0
prune_boundary = len(result) - protect_tail_count
for i in range(prune_boundary):
msg = result[i]
if msg.get("role") != "tool":
continue
content = msg.get("content", "")
if not content or content == _PRUNED_TOOL_PLACEHOLDER:
continue
# Only prune if the content is substantial (>200 chars)
if len(content) > 200:
result[i] = {**msg, "content": _PRUNED_TOOL_PLACEHOLDER}
pruned += 1
return result, pruned
# ------------------------------------------------------------------
# Summarization
# ------------------------------------------------------------------
def _compute_summary_budget(self, turns_to_summarize: List[Dict[str, Any]]) -> int:
"""Scale summary token budget with the amount of content being compressed.
The maximum scales with the model's context window (5% of context,
capped at ``_SUMMARY_TOKENS_CEILING``) so large-context models get
richer summaries instead of being hard-capped at 8K tokens.
"""
content_tokens = estimate_messages_tokens_rough(turns_to_summarize)
budget = int(content_tokens * _SUMMARY_RATIO)
return max(_MIN_SUMMARY_TOKENS, min(budget, self.max_summary_tokens))
def _serialize_for_summary(self, turns: List[Dict[str, Any]]) -> str:
"""Serialize conversation turns into labeled text for the summarizer.
Includes tool call arguments and result content (up to 3000 chars
per message) so the summarizer can preserve specific details like
file paths, commands, and outputs.
"""
parts = []
for msg in turns:
role = msg.get("role", "unknown")
content = msg.get("content") or ""
# Tool results: keep more content than before (3000 chars)
if role == "tool":
tool_id = msg.get("tool_call_id", "")
if len(content) > 3000:
content = content[:2000] + "\n...[truncated]...\n" + content[-800:]
parts.append(f"[TOOL RESULT {tool_id}]: {content}")
continue
# Assistant messages: include tool call names AND arguments
if role == "assistant":
if len(content) > 3000:
content = content[:2000] + "\n...[truncated]...\n" + content[-800:]
tool_calls = msg.get("tool_calls", [])
if tool_calls:
tc_parts = []
for tc in tool_calls:
if isinstance(tc, dict):
fn = tc.get("function", {})
name = fn.get("name", "?")
args = fn.get("arguments", "")
# Truncate long arguments but keep enough for context
if len(args) > 500:
args = args[:400] + "..."
tc_parts.append(f" {name}({args})")
else:
fn = getattr(tc, "function", None)
name = getattr(fn, "name", "?") if fn else "?"
tc_parts.append(f" {name}(...)")
content += "\n[Tool calls:\n" + "\n".join(tc_parts) + "\n]"
parts.append(f"[ASSISTANT]: {content}")
continue
# User and other roles
if len(content) > 3000:
content = content[:2000] + "\n...[truncated]...\n" + content[-800:]
parts.append(f"[{role.upper()}]: {content}")
return "\n\n".join(parts)
def _generate_summary(self, turns_to_summarize: List[Dict[str, Any]]) -> Optional[str]:
"""Generate a structured summary of conversation turns.
"""Generate a concise summary of conversation turns.
Uses a structured template (Goal, Progress, Decisions, Files, Next Steps)
inspired by Pi-mono and OpenCode. When a previous summary exists,
generates an iterative update instead of summarizing from scratch.
Returns None if all attempts fail — the caller should drop
Tries the auxiliary model first, then falls back to the user's main
model. Returns None if all attempts fail — the caller should drop
the middle turns without a summary rather than inject a useless
placeholder.
"""
summary_budget = self._compute_summary_budget(turns_to_summarize)
content_to_summarize = self._serialize_for_summary(turns_to_summarize)
parts = []
for msg in turns_to_summarize:
role = msg.get("role", "unknown")
content = msg.get("content") or ""
if len(content) > 2000:
content = content[:1000] + "\n...[truncated]...\n" + content[-500:]
tool_calls = msg.get("tool_calls", [])
if tool_calls:
tool_names = [tc.get("function", {}).get("name", "?") for tc in tool_calls if isinstance(tc, dict)]
content += f"\n[Tool calls: {', '.join(tool_names)}]"
parts.append(f"[{role.upper()}]: {content}")
if self._previous_summary:
# Iterative update: preserve existing info, add new progress
prompt = f"""You are updating a context compaction summary. A previous compaction produced the summary below. New conversation turns have occurred since then and need to be incorporated.
content_to_summarize = "\n\n".join(parts)
prompt = f"""Create a concise handoff summary for a later assistant that will continue this conversation after earlier turns are compacted.
PREVIOUS SUMMARY:
{self._previous_summary}
Describe:
1. What actions were taken (tool calls, searches, file operations)
2. Key information or results obtained
3. Important decisions, constraints, or user preferences
4. Relevant data, file names, outputs, or next steps needed to continue
NEW TURNS TO INCORPORATE:
{content_to_summarize}
Update the summary using this exact structure. PRESERVE all existing information that is still relevant. ADD new progress. Move items from "In Progress" to "Done" when completed. Remove information only if it is clearly obsolete.
## Goal
[What the user is trying to accomplish — preserve from previous summary, update if goal evolved]
## Constraints & Preferences
[User preferences, coding style, constraints, important decisions — accumulate across compactions]
## Progress
### Done
[Completed work — include specific file paths, commands run, results obtained]
### In Progress
[Work currently underway]
### Blocked
[Any blockers or issues encountered]
## Key Decisions
[Important technical decisions and why they were made]
## Relevant Files
[Files read, modified, or created — with brief note on each. Accumulate across compactions.]
## Next Steps
[What needs to happen next to continue the work]
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
Target ~{summary_budget} tokens. Be specific — include file paths, command outputs, error messages, and concrete values rather than vague descriptions.
Write only the summary body. Do not include any preamble or prefix."""
else:
# First compaction: summarize from scratch
prompt = f"""Create a structured handoff summary for a later assistant that will continue this conversation after earlier turns are compacted.
Keep it factual, concise, and focused on helping the next assistant resume without repeating work. Target ~{self.summary_target_tokens} tokens.
---
TURNS TO SUMMARIZE:
{content_to_summarize}
---
Use this exact structure:
## Goal
[What the user is trying to accomplish]
## Constraints & Preferences
[User preferences, coding style, constraints, important decisions]
## Progress
### Done
[Completed work — include specific file paths, commands run, results obtained]
### In Progress
[Work currently underway]
### Blocked
[Any blockers or issues encountered]
## Key Decisions
[Important technical decisions and why they were made]
## Relevant Files
[Files read, modified, or created — with brief note on each]
## Next Steps
[What needs to happen next to continue the work]
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
Target ~{summary_budget} tokens. Be specific — include file paths, command outputs, error messages, and concrete values rather than vague descriptions. The goal is to prevent the next assistant from repeating work or losing important details.
Write only the summary body. Do not include any preamble or prefix."""
Write only the summary body. Do not include any preamble or prefix; the system will add the handoff wrapper."""
# Use the centralized LLM router — handles provider resolution,
# auth, and fallback internally.
try:
call_kwargs = {
"task": "compression",
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.3,
"max_tokens": summary_budget * 2,
# timeout resolved from auxiliary.compression.timeout config by call_llm
"max_tokens": self.summary_target_tokens * 2,
"timeout": 30.0,
}
if self.summary_model:
call_kwargs["model"] = self.summary_model
@@ -357,8 +147,6 @@ Write only the summary body. Do not include any preamble or prefix."""
if not isinstance(content, str):
content = str(content) if content else ""
summary = content.strip()
# Store for iterative updates on next compaction
self._previous_summary = summary
return self._with_summary_prefix(summary)
except RuntimeError:
logging.warning("Context compression: no provider available for "
@@ -463,155 +251,56 @@ Write only the summary body. Do not include any preamble or prefix."""
"""Pull a compress-end boundary backward to avoid splitting a
tool_call / result group.
If the boundary falls in the middle of a tool-result group (i.e.
there are consecutive tool messages before ``idx``), walk backward
past all of them to find the parent assistant message. If found,
move the boundary before the assistant so the entire
assistant + tool_results group is included in the summarised region
rather than being split (which causes silent data loss when
``_sanitize_tool_pairs`` removes the orphaned tail results).
If the message just before ``idx`` is an assistant message with
tool_calls, those tool results will start at ``idx`` and would be
separated from their parent. Move backwards to include the whole
group in the summarised region.
"""
if idx <= 0 or idx >= len(messages):
return idx
# Walk backward past consecutive tool results
check = idx - 1
while check >= 0 and messages[check].get("role") == "tool":
check -= 1
# If we landed on the parent assistant with tool_calls, pull the
# boundary before it so the whole group gets summarised together.
if check >= 0 and messages[check].get("role") == "assistant" and messages[check].get("tool_calls"):
idx = check
prev = messages[idx - 1]
if prev.get("role") == "assistant" and prev.get("tool_calls"):
# The results for this assistant turn sit at idx..idx+k.
# Include the assistant message in the summarised region too.
idx -= 1
return idx
# ------------------------------------------------------------------
# Tail protection by token budget
# ------------------------------------------------------------------
def _find_tail_cut_by_tokens(
self, messages: List[Dict[str, Any]], head_end: int,
token_budget: int | None = None,
) -> int:
"""Walk backward from the end of messages, accumulating tokens until
the budget is reached. Returns the index where the tail starts.
``token_budget`` defaults to ``self.tail_token_budget`` which is
derived from ``summary_target_ratio * context_length``, so it
scales automatically with the model's context window.
Never cuts inside a tool_call/result group. Falls back to the old
``protect_last_n`` if the budget would protect fewer messages.
"""
if token_budget is None:
token_budget = self.tail_token_budget
n = len(messages)
min_tail = self.protect_last_n
accumulated = 0
cut_idx = n # start from beyond the end
for i in range(n - 1, head_end - 1, -1):
msg = messages[i]
content = msg.get("content") or ""
msg_tokens = len(content) // _CHARS_PER_TOKEN + 10 # +10 for role/metadata
# Include tool call arguments in estimate
for tc in msg.get("tool_calls") or []:
if isinstance(tc, dict):
args = tc.get("function", {}).get("arguments", "")
msg_tokens += len(args) // _CHARS_PER_TOKEN
if accumulated + msg_tokens > token_budget and (n - i) >= min_tail:
break
accumulated += msg_tokens
cut_idx = i
# Ensure we protect at least protect_last_n messages
fallback_cut = n - min_tail
if cut_idx > fallback_cut:
cut_idx = fallback_cut
# If the token budget would protect everything (small conversations),
# fall back to the fixed protect_last_n approach so compression can
# still remove middle turns.
if cut_idx <= head_end:
cut_idx = fallback_cut
# Align to avoid splitting tool groups
cut_idx = self._align_boundary_backward(messages, cut_idx)
return max(cut_idx, head_end + 1)
# ------------------------------------------------------------------
# Main compression entry point
# ------------------------------------------------------------------
def compress(self, messages: List[Dict[str, Any]], current_tokens: int = None) -> List[Dict[str, Any]]:
"""Compress conversation messages by summarizing middle turns.
Algorithm:
1. Prune old tool results (cheap pre-pass, no LLM call)
2. Protect head messages (system prompt + first exchange)
3. Find tail boundary by token budget (~20K tokens of recent context)
4. Summarize middle turns with structured LLM prompt
5. On re-compression, iteratively update the previous summary
Keeps first N + last N turns, summarizes everything in between.
After compression, orphaned tool_call / tool_result pairs are cleaned
up so the API never receives mismatched IDs.
"""
n_messages = len(messages)
if n_messages <= self.protect_first_n + self.protect_last_n + 1:
if not self.quiet_mode:
logger.warning(
"Cannot compress: only %d messages (need > %d)",
n_messages,
self.protect_first_n + self.protect_last_n + 1,
)
print(f"⚠️ Cannot compress: only {n_messages} messages (need > {self.protect_first_n + self.protect_last_n + 1})")
return messages
display_tokens = current_tokens if current_tokens else self.last_prompt_tokens or estimate_messages_tokens_rough(messages)
# Phase 1: Prune old tool results (cheap, no LLM call)
messages, pruned_count = self._prune_old_tool_results(
messages, protect_tail_count=self.protect_last_n * 3,
)
if pruned_count and not self.quiet_mode:
logger.info("Pre-compression: pruned %d old tool result(s)", pruned_count)
# Phase 2: Determine boundaries
compress_start = self.protect_first_n
compress_end = n_messages - self.protect_last_n
if compress_start >= compress_end:
return messages
# Adjust boundaries to avoid splitting tool_call/result groups.
compress_start = self._align_boundary_forward(messages, compress_start)
# Use token-budget tail protection instead of fixed message count
compress_end = self._find_tail_cut_by_tokens(messages, compress_start)
compress_end = self._align_boundary_backward(messages, compress_end)
if compress_start >= compress_end:
return messages
turns_to_summarize = messages[compress_start:compress_end]
display_tokens = current_tokens if current_tokens else self.last_prompt_tokens or estimate_messages_tokens_rough(messages)
if not self.quiet_mode:
logger.info(
"Context compression triggered (%d tokens >= %d threshold)",
display_tokens,
self.threshold_tokens,
)
logger.info(
"Model context limit: %d tokens (%.0f%% = %d)",
self.context_length,
self.threshold_percent * 100,
self.threshold_tokens,
)
tail_msgs = n_messages - compress_end
logger.info(
"Summarizing turns %d-%d (%d turns), protecting %d head + %d tail messages",
compress_start + 1,
compress_end,
len(turns_to_summarize),
compress_start,
tail_msgs,
)
print(f"\n📦 Context compression triggered ({display_tokens:,} tokens ≥ {self.threshold_tokens:,} threshold)")
print(f" 📊 Model context limit: {self.context_length:,} tokens ({self.threshold_percent*100:.0f}% = {self.threshold_tokens:,})")
if not self.quiet_mode:
print(f" 🗜️ Summarizing turns {compress_start+1}-{compress_end} ({len(turns_to_summarize)} turns)")
# Phase 3: Generate structured summary
summary = self._generate_summary(turns_to_summarize)
# Phase 4: Assemble compressed message list
compressed = []
for i in range(compress_start):
msg = messages[i].copy()
@@ -622,41 +311,16 @@ Write only the summary body. Do not include any preamble or prefix."""
)
compressed.append(msg)
_merge_summary_into_tail = False
if summary:
last_head_role = messages[compress_start - 1].get("role", "user") if compress_start > 0 else "user"
first_tail_role = messages[compress_end].get("role", "user") if compress_end < n_messages else "user"
# Pick a role that avoids consecutive same-role with both neighbors.
# Priority: avoid colliding with head (already committed), then tail.
if last_head_role in ("assistant", "tool"):
summary_role = "user"
else:
summary_role = "assistant"
# If the chosen role collides with the tail AND flipping wouldn't
# collide with the head, flip it.
if summary_role == first_tail_role:
flipped = "assistant" if summary_role == "user" else "user"
if flipped != last_head_role:
summary_role = flipped
else:
# Both roles would create consecutive same-role messages
# (e.g. head=assistant, tail=user — neither role works).
# Merge the summary into the first tail message instead
# of inserting a standalone message that breaks alternation.
_merge_summary_into_tail = True
if not _merge_summary_into_tail:
compressed.append({"role": summary_role, "content": summary})
summary_role = "user" if last_head_role in ("assistant", "tool") else "assistant"
compressed.append({"role": summary_role, "content": summary})
else:
if not self.quiet_mode:
logger.warning("No summary model available — middle turns dropped without summary")
print(" ⚠️ No summary model available — middle turns dropped without summary")
for i in range(compress_end, n_messages):
msg = messages[i].copy()
if _merge_summary_into_tail and i == compress_end:
original = msg.get("content") or ""
msg["content"] = summary + "\n\n" + original
_merge_summary_into_tail = False
compressed.append(msg)
compressed.append(messages[i].copy())
self.compression_count += 1
@@ -665,12 +329,7 @@ Write only the summary body. Do not include any preamble or prefix."""
if not self.quiet_mode:
new_estimate = estimate_messages_tokens_rough(compressed)
saved_estimate = display_tokens - new_estimate
logger.info(
"Compressed: %d -> %d messages (~%d tokens saved)",
n_messages,
len(compressed),
saved_estimate,
)
logger.info("Compression #%d complete", self.compression_count)
print(f" ✅ Compressed: {n_messages}{len(compressed)} messages (~{saved_estimate:,} tokens saved)")
print(f" 💡 Compression #{self.compression_count} complete")
return compressed

View File

@@ -1,492 +0,0 @@
from __future__ import annotations
import asyncio
import inspect
import json
import mimetypes
import os
import re
import subprocess
from dataclasses import dataclass, field
from pathlib import Path
from typing import Awaitable, Callable
from agent.model_metadata import estimate_tokens_rough
REFERENCE_PATTERN = re.compile(
r"(?<![\w/])@(?:(?P<simple>diff|staged)\b|(?P<kind>file|folder|git|url):(?P<value>\S+))"
)
TRAILING_PUNCTUATION = ",.;!?"
_SENSITIVE_HOME_DIRS = (".ssh", ".aws", ".gnupg", ".kube")
_SENSITIVE_HERMES_DIRS = (Path("skills") / ".hub",)
_SENSITIVE_HOME_FILES = (
Path(".ssh") / "authorized_keys",
Path(".ssh") / "id_rsa",
Path(".ssh") / "id_ed25519",
Path(".ssh") / "config",
Path(".bashrc"),
Path(".zshrc"),
Path(".profile"),
Path(".bash_profile"),
Path(".zprofile"),
Path(".netrc"),
Path(".pgpass"),
Path(".npmrc"),
Path(".pypirc"),
)
@dataclass(frozen=True)
class ContextReference:
raw: str
kind: str
target: str
start: int
end: int
line_start: int | None = None
line_end: int | None = None
@dataclass
class ContextReferenceResult:
message: str
original_message: str
references: list[ContextReference] = field(default_factory=list)
warnings: list[str] = field(default_factory=list)
injected_tokens: int = 0
expanded: bool = False
blocked: bool = False
def parse_context_references(message: str) -> list[ContextReference]:
refs: list[ContextReference] = []
if not message:
return refs
for match in REFERENCE_PATTERN.finditer(message):
simple = match.group("simple")
if simple:
refs.append(
ContextReference(
raw=match.group(0),
kind=simple,
target="",
start=match.start(),
end=match.end(),
)
)
continue
kind = match.group("kind")
value = _strip_trailing_punctuation(match.group("value") or "")
line_start = None
line_end = None
target = value
if kind == "file":
range_match = re.match(r"^(?P<path>.+?):(?P<start>\d+)(?:-(?P<end>\d+))?$", value)
if range_match:
target = range_match.group("path")
line_start = int(range_match.group("start"))
line_end = int(range_match.group("end") or range_match.group("start"))
refs.append(
ContextReference(
raw=match.group(0),
kind=kind,
target=target,
start=match.start(),
end=match.end(),
line_start=line_start,
line_end=line_end,
)
)
return refs
def preprocess_context_references(
message: str,
*,
cwd: str | Path,
context_length: int,
url_fetcher: Callable[[str], str | Awaitable[str]] | None = None,
allowed_root: str | Path | None = None,
) -> ContextReferenceResult:
coro = preprocess_context_references_async(
message,
cwd=cwd,
context_length=context_length,
url_fetcher=url_fetcher,
allowed_root=allowed_root,
)
# Safe for both CLI (no loop) and gateway (loop already running).
try:
loop = asyncio.get_running_loop()
except RuntimeError:
loop = None
if loop and loop.is_running():
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
return pool.submit(asyncio.run, coro).result()
return asyncio.run(coro)
async def preprocess_context_references_async(
message: str,
*,
cwd: str | Path,
context_length: int,
url_fetcher: Callable[[str], str | Awaitable[str]] | None = None,
allowed_root: str | Path | None = None,
) -> ContextReferenceResult:
refs = parse_context_references(message)
if not refs:
return ContextReferenceResult(message=message, original_message=message)
cwd_path = Path(cwd).expanduser().resolve()
# Default to the current working directory so @ references cannot escape
# the active workspace unless a caller explicitly widens the root.
allowed_root_path = (
Path(allowed_root).expanduser().resolve() if allowed_root is not None else cwd_path
)
warnings: list[str] = []
blocks: list[str] = []
injected_tokens = 0
for ref in refs:
warning, block = await _expand_reference(
ref,
cwd_path,
url_fetcher=url_fetcher,
allowed_root=allowed_root_path,
)
if warning:
warnings.append(warning)
if block:
blocks.append(block)
injected_tokens += estimate_tokens_rough(block)
hard_limit = max(1, int(context_length * 0.50))
soft_limit = max(1, int(context_length * 0.25))
if injected_tokens > hard_limit:
warnings.append(
f"@ context injection refused: {injected_tokens} tokens exceeds the 50% hard limit ({hard_limit})."
)
return ContextReferenceResult(
message=message,
original_message=message,
references=refs,
warnings=warnings,
injected_tokens=injected_tokens,
expanded=False,
blocked=True,
)
if injected_tokens > soft_limit:
warnings.append(
f"@ context injection warning: {injected_tokens} tokens exceeds the 25% soft limit ({soft_limit})."
)
stripped = _remove_reference_tokens(message, refs)
final = stripped
if warnings:
final = f"{final}\n\n--- Context Warnings ---\n" + "\n".join(f"- {warning}" for warning in warnings)
if blocks:
final = f"{final}\n\n--- Attached Context ---\n\n" + "\n\n".join(blocks)
return ContextReferenceResult(
message=final.strip(),
original_message=message,
references=refs,
warnings=warnings,
injected_tokens=injected_tokens,
expanded=bool(blocks or warnings),
blocked=False,
)
async def _expand_reference(
ref: ContextReference,
cwd: Path,
*,
url_fetcher: Callable[[str], str | Awaitable[str]] | None = None,
allowed_root: Path | None = None,
) -> tuple[str | None, str | None]:
try:
if ref.kind == "file":
return _expand_file_reference(ref, cwd, allowed_root=allowed_root)
if ref.kind == "folder":
return _expand_folder_reference(ref, cwd, allowed_root=allowed_root)
if ref.kind == "diff":
return _expand_git_reference(ref, cwd, ["diff"], "git diff")
if ref.kind == "staged":
return _expand_git_reference(ref, cwd, ["diff", "--staged"], "git diff --staged")
if ref.kind == "git":
count = max(1, min(int(ref.target or "1"), 10))
return _expand_git_reference(ref, cwd, ["log", f"-{count}", "-p"], f"git log -{count} -p")
if ref.kind == "url":
content = await _fetch_url_content(ref.target, url_fetcher=url_fetcher)
if not content:
return f"{ref.raw}: no content extracted", None
return None, f"🌐 {ref.raw} ({estimate_tokens_rough(content)} tokens)\n{content}"
except Exception as exc:
return f"{ref.raw}: {exc}", None
return f"{ref.raw}: unsupported reference type", None
def _expand_file_reference(
ref: ContextReference,
cwd: Path,
*,
allowed_root: Path | None = None,
) -> tuple[str | None, str | None]:
path = _resolve_path(cwd, ref.target, allowed_root=allowed_root)
_ensure_reference_path_allowed(path)
if not path.exists():
return f"{ref.raw}: file not found", None
if not path.is_file():
return f"{ref.raw}: path is not a file", None
if _is_binary_file(path):
return f"{ref.raw}: binary files are not supported", None
text = path.read_text(encoding="utf-8")
if ref.line_start is not None:
lines = text.splitlines()
start_idx = max(ref.line_start - 1, 0)
end_idx = min(ref.line_end or ref.line_start, len(lines))
text = "\n".join(lines[start_idx:end_idx])
lang = _code_fence_language(path)
label = ref.raw
return None, f"📄 {label} ({estimate_tokens_rough(text)} tokens)\n```{lang}\n{text}\n```"
def _expand_folder_reference(
ref: ContextReference,
cwd: Path,
*,
allowed_root: Path | None = None,
) -> tuple[str | None, str | None]:
path = _resolve_path(cwd, ref.target, allowed_root=allowed_root)
_ensure_reference_path_allowed(path)
if not path.exists():
return f"{ref.raw}: folder not found", None
if not path.is_dir():
return f"{ref.raw}: path is not a folder", None
listing = _build_folder_listing(path, cwd)
return None, f"📁 {ref.raw} ({estimate_tokens_rough(listing)} tokens)\n{listing}"
def _expand_git_reference(
ref: ContextReference,
cwd: Path,
args: list[str],
label: str,
) -> tuple[str | None, str | None]:
try:
result = subprocess.run(
["git", *args],
cwd=cwd,
capture_output=True,
text=True,
timeout=30,
)
except subprocess.TimeoutExpired:
return f"{ref.raw}: git command timed out (30s)", None
if result.returncode != 0:
stderr = (result.stderr or "").strip() or "git command failed"
return f"{ref.raw}: {stderr}", None
content = result.stdout.strip()
if not content:
content = "(no output)"
return None, f"🧾 {label} ({estimate_tokens_rough(content)} tokens)\n```diff\n{content}\n```"
async def _fetch_url_content(
url: str,
*,
url_fetcher: Callable[[str], str | Awaitable[str]] | None = None,
) -> str:
fetcher = url_fetcher or _default_url_fetcher
content = fetcher(url)
if inspect.isawaitable(content):
content = await content
return str(content or "").strip()
async def _default_url_fetcher(url: str) -> str:
from tools.web_tools import web_extract_tool
raw = await web_extract_tool([url], format="markdown", use_llm_processing=True)
payload = json.loads(raw)
docs = payload.get("data", {}).get("documents", [])
if not docs:
return ""
doc = docs[0]
return str(doc.get("content") or doc.get("raw_content") or "").strip()
def _resolve_path(cwd: Path, target: str, *, allowed_root: Path | None = None) -> Path:
path = Path(os.path.expanduser(target))
if not path.is_absolute():
path = cwd / path
resolved = path.resolve()
if allowed_root is not None:
try:
resolved.relative_to(allowed_root)
except ValueError as exc:
raise ValueError("path is outside the allowed workspace") from exc
return resolved
def _ensure_reference_path_allowed(path: Path) -> None:
home = Path(os.path.expanduser("~")).resolve()
hermes_home = Path(
os.getenv("HERMES_HOME", str(home / ".hermes"))
).expanduser().resolve()
blocked_exact = {home / rel for rel in _SENSITIVE_HOME_FILES}
blocked_exact.add(hermes_home / ".env")
blocked_dirs = [home / rel for rel in _SENSITIVE_HOME_DIRS]
blocked_dirs.extend(hermes_home / rel for rel in _SENSITIVE_HERMES_DIRS)
if path in blocked_exact:
raise ValueError("path is a sensitive credential file and cannot be attached")
for blocked_dir in blocked_dirs:
try:
path.relative_to(blocked_dir)
except ValueError:
continue
raise ValueError("path is a sensitive credential or internal Hermes path and cannot be attached")
def _strip_trailing_punctuation(value: str) -> str:
stripped = value.rstrip(TRAILING_PUNCTUATION)
while stripped.endswith((")", "]", "}")):
closer = stripped[-1]
opener = {")": "(", "]": "[", "}": "{"}[closer]
if stripped.count(closer) > stripped.count(opener):
stripped = stripped[:-1]
continue
break
return stripped
def _remove_reference_tokens(message: str, refs: list[ContextReference]) -> str:
pieces: list[str] = []
cursor = 0
for ref in refs:
pieces.append(message[cursor:ref.start])
cursor = ref.end
pieces.append(message[cursor:])
text = "".join(pieces)
text = re.sub(r"\s{2,}", " ", text)
text = re.sub(r"\s+([,.;:!?])", r"\1", text)
return text.strip()
def _is_binary_file(path: Path) -> bool:
mime, _ = mimetypes.guess_type(path.name)
if mime and not mime.startswith("text/") and not any(
path.name.endswith(ext) for ext in (".py", ".md", ".txt", ".json", ".yaml", ".yml", ".toml", ".js", ".ts")
):
return True
chunk = path.read_bytes()[:4096]
return b"\x00" in chunk
def _build_folder_listing(path: Path, cwd: Path, limit: int = 200) -> str:
lines = [f"{path.relative_to(cwd)}/"]
entries = _iter_visible_entries(path, cwd, limit=limit)
for entry in entries:
rel = entry.relative_to(cwd)
indent = " " * max(len(rel.parts) - len(path.relative_to(cwd).parts) - 1, 0)
if entry.is_dir():
lines.append(f"{indent}- {entry.name}/")
else:
meta = _file_metadata(entry)
lines.append(f"{indent}- {entry.name} ({meta})")
if len(entries) >= limit:
lines.append("- ...")
return "\n".join(lines)
def _iter_visible_entries(path: Path, cwd: Path, limit: int) -> list[Path]:
rg_entries = _rg_files(path, cwd, limit=limit)
if rg_entries is not None:
output: list[Path] = []
seen_dirs: set[Path] = set()
for rel in rg_entries:
full = cwd / rel
for parent in full.parents:
if parent == cwd or parent in seen_dirs or path not in {parent, *parent.parents}:
continue
seen_dirs.add(parent)
output.append(parent)
output.append(full)
return sorted({p for p in output if p.exists()}, key=lambda p: (not p.is_dir(), str(p)))
output = []
for root, dirs, files in os.walk(path):
dirs[:] = sorted(d for d in dirs if not d.startswith(".") and d != "__pycache__")
files = sorted(f for f in files if not f.startswith("."))
root_path = Path(root)
for d in dirs:
output.append(root_path / d)
if len(output) >= limit:
return output
for f in files:
output.append(root_path / f)
if len(output) >= limit:
return output
return output
def _rg_files(path: Path, cwd: Path, limit: int) -> list[Path] | None:
try:
result = subprocess.run(
["rg", "--files", str(path.relative_to(cwd))],
cwd=cwd,
capture_output=True,
text=True,
timeout=10,
)
except FileNotFoundError:
return None
except subprocess.TimeoutExpired:
return None
if result.returncode != 0:
return None
files = [Path(line.strip()) for line in result.stdout.splitlines() if line.strip()]
return files[:limit]
def _file_metadata(path: Path) -> str:
if _is_binary_file(path):
return f"{path.stat().st_size} bytes"
try:
line_count = path.read_text(encoding="utf-8").count("\n") + 1
except Exception:
return f"{path.stat().st_size} bytes"
return f"{line_count} lines"
def _code_fence_language(path: Path) -> str:
mapping = {
".py": "python",
".js": "javascript",
".ts": "typescript",
".tsx": "tsx",
".jsx": "jsx",
".json": "json",
".md": "markdown",
".sh": "bash",
".yml": "yaml",
".yaml": "yaml",
".toml": "toml",
}
return mapping.get(path.suffix.lower(), "")

View File

@@ -1,447 +0,0 @@
"""OpenAI-compatible shim that forwards Hermes requests to `copilot --acp`.
This adapter lets Hermes treat the GitHub Copilot ACP server as a chat-style
backend. Each request starts a short-lived ACP session, sends the formatted
conversation as a single prompt, collects text chunks, and converts the result
back into the minimal shape Hermes expects from an OpenAI client.
"""
from __future__ import annotations
import json
import os
import queue
import shlex
import subprocess
import threading
import time
from collections import deque
from pathlib import Path
from types import SimpleNamespace
from typing import Any
ACP_MARKER_BASE_URL = "acp://copilot"
_DEFAULT_TIMEOUT_SECONDS = 900.0
def _resolve_command() -> str:
return (
os.getenv("HERMES_COPILOT_ACP_COMMAND", "").strip()
or os.getenv("COPILOT_CLI_PATH", "").strip()
or "copilot"
)
def _resolve_args() -> list[str]:
raw = os.getenv("HERMES_COPILOT_ACP_ARGS", "").strip()
if not raw:
return ["--acp", "--stdio"]
return shlex.split(raw)
def _jsonrpc_error(message_id: Any, code: int, message: str) -> dict[str, Any]:
return {
"jsonrpc": "2.0",
"id": message_id,
"error": {
"code": code,
"message": message,
},
}
def _format_messages_as_prompt(messages: list[dict[str, Any]], model: str | None = None) -> str:
sections: list[str] = [
"You are being used as the active ACP agent backend for Hermes.",
"Use your own ACP capabilities and respond directly in natural language.",
"Do not emit OpenAI tool-call JSON.",
]
if model:
sections.append(f"Hermes requested model hint: {model}")
transcript: list[str] = []
for message in messages:
if not isinstance(message, dict):
continue
role = str(message.get("role") or "unknown").strip().lower()
if role == "tool":
role = "tool"
elif role not in {"system", "user", "assistant"}:
role = "context"
content = message.get("content")
rendered = _render_message_content(content)
if not rendered:
continue
label = {
"system": "System",
"user": "User",
"assistant": "Assistant",
"tool": "Tool",
"context": "Context",
}.get(role, role.title())
transcript.append(f"{label}:\n{rendered}")
if transcript:
sections.append("Conversation transcript:\n\n" + "\n\n".join(transcript))
sections.append("Continue the conversation from the latest user request.")
return "\n\n".join(section.strip() for section in sections if section and section.strip())
def _render_message_content(content: Any) -> str:
if content is None:
return ""
if isinstance(content, str):
return content.strip()
if isinstance(content, dict):
if "text" in content:
return str(content.get("text") or "").strip()
if "content" in content and isinstance(content.get("content"), str):
return str(content.get("content") or "").strip()
return json.dumps(content, ensure_ascii=True)
if isinstance(content, list):
parts: list[str] = []
for item in content:
if isinstance(item, str):
parts.append(item)
elif isinstance(item, dict):
text = item.get("text")
if isinstance(text, str) and text.strip():
parts.append(text.strip())
return "\n".join(parts).strip()
return str(content).strip()
def _ensure_path_within_cwd(path_text: str, cwd: str) -> Path:
candidate = Path(path_text)
if not candidate.is_absolute():
raise PermissionError("ACP file-system paths must be absolute.")
resolved = candidate.resolve()
root = Path(cwd).resolve()
try:
resolved.relative_to(root)
except ValueError as exc:
raise PermissionError(f"Path '{resolved}' is outside the session cwd '{root}'.") from exc
return resolved
class _ACPChatCompletions:
def __init__(self, client: "CopilotACPClient"):
self._client = client
def create(self, **kwargs: Any) -> Any:
return self._client._create_chat_completion(**kwargs)
class _ACPChatNamespace:
def __init__(self, client: "CopilotACPClient"):
self.completions = _ACPChatCompletions(client)
class CopilotACPClient:
"""Minimal OpenAI-client-compatible facade for Copilot ACP."""
def __init__(
self,
*,
api_key: str | None = None,
base_url: str | None = None,
default_headers: dict[str, str] | None = None,
acp_command: str | None = None,
acp_args: list[str] | None = None,
acp_cwd: str | None = None,
command: str | None = None,
args: list[str] | None = None,
**_: Any,
):
self.api_key = api_key or "copilot-acp"
self.base_url = base_url or ACP_MARKER_BASE_URL
self._default_headers = dict(default_headers or {})
self._acp_command = acp_command or command or _resolve_command()
self._acp_args = list(acp_args or args or _resolve_args())
self._acp_cwd = str(Path(acp_cwd or os.getcwd()).resolve())
self.chat = _ACPChatNamespace(self)
self.is_closed = False
self._active_process: subprocess.Popen[str] | None = None
self._active_process_lock = threading.Lock()
def close(self) -> None:
proc: subprocess.Popen[str] | None
with self._active_process_lock:
proc = self._active_process
self._active_process = None
self.is_closed = True
if proc is None:
return
try:
proc.terminate()
proc.wait(timeout=2)
except Exception:
try:
proc.kill()
except Exception:
pass
def _create_chat_completion(
self,
*,
model: str | None = None,
messages: list[dict[str, Any]] | None = None,
timeout: float | None = None,
**_: Any,
) -> Any:
prompt_text = _format_messages_as_prompt(messages or [], model=model)
response_text, reasoning_text = self._run_prompt(
prompt_text,
timeout_seconds=float(timeout or _DEFAULT_TIMEOUT_SECONDS),
)
usage = SimpleNamespace(
prompt_tokens=0,
completion_tokens=0,
total_tokens=0,
prompt_tokens_details=SimpleNamespace(cached_tokens=0),
)
assistant_message = SimpleNamespace(
content=response_text,
tool_calls=[],
reasoning=reasoning_text or None,
reasoning_content=reasoning_text or None,
reasoning_details=None,
)
choice = SimpleNamespace(message=assistant_message, finish_reason="stop")
return SimpleNamespace(
choices=[choice],
usage=usage,
model=model or "copilot-acp",
)
def _run_prompt(self, prompt_text: str, *, timeout_seconds: float) -> tuple[str, str]:
try:
proc = subprocess.Popen(
[self._acp_command] + self._acp_args,
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
bufsize=1,
cwd=self._acp_cwd,
)
except FileNotFoundError as exc:
raise RuntimeError(
f"Could not start Copilot ACP command '{self._acp_command}'. "
"Install GitHub Copilot CLI or set HERMES_COPILOT_ACP_COMMAND/COPILOT_CLI_PATH."
) from exc
if proc.stdin is None or proc.stdout is None:
proc.kill()
raise RuntimeError("Copilot ACP process did not expose stdin/stdout pipes.")
self.is_closed = False
with self._active_process_lock:
self._active_process = proc
inbox: queue.Queue[dict[str, Any]] = queue.Queue()
stderr_tail: deque[str] = deque(maxlen=40)
def _stdout_reader() -> None:
for line in proc.stdout:
try:
inbox.put(json.loads(line))
except Exception:
inbox.put({"raw": line.rstrip("\n")})
def _stderr_reader() -> None:
if proc.stderr is None:
return
for line in proc.stderr:
stderr_tail.append(line.rstrip("\n"))
out_thread = threading.Thread(target=_stdout_reader, daemon=True)
err_thread = threading.Thread(target=_stderr_reader, daemon=True)
out_thread.start()
err_thread.start()
next_id = 0
def _request(method: str, params: dict[str, Any], *, text_parts: list[str] | None = None, reasoning_parts: list[str] | None = None) -> Any:
nonlocal next_id
next_id += 1
request_id = next_id
payload = {
"jsonrpc": "2.0",
"id": request_id,
"method": method,
"params": params,
}
proc.stdin.write(json.dumps(payload) + "\n")
proc.stdin.flush()
deadline = time.time() + timeout_seconds
while time.time() < deadline:
if proc.poll() is not None:
break
try:
msg = inbox.get(timeout=0.1)
except queue.Empty:
continue
if self._handle_server_message(
msg,
process=proc,
cwd=self._acp_cwd,
text_parts=text_parts,
reasoning_parts=reasoning_parts,
):
continue
if msg.get("id") != request_id:
continue
if "error" in msg:
err = msg.get("error") or {}
raise RuntimeError(
f"Copilot ACP {method} failed: {err.get('message') or err}"
)
return msg.get("result")
stderr_text = "\n".join(stderr_tail).strip()
if proc.poll() is not None and stderr_text:
raise RuntimeError(f"Copilot ACP process exited early: {stderr_text}")
raise TimeoutError(f"Timed out waiting for Copilot ACP response to {method}.")
try:
_request(
"initialize",
{
"protocolVersion": 1,
"clientCapabilities": {
"fs": {
"readTextFile": True,
"writeTextFile": True,
}
},
"clientInfo": {
"name": "hermes-agent",
"title": "Hermes Agent",
"version": "0.0.0",
},
},
)
session = _request(
"session/new",
{
"cwd": self._acp_cwd,
"mcpServers": [],
},
) or {}
session_id = str(session.get("sessionId") or "").strip()
if not session_id:
raise RuntimeError("Copilot ACP did not return a sessionId.")
text_parts: list[str] = []
reasoning_parts: list[str] = []
_request(
"session/prompt",
{
"sessionId": session_id,
"prompt": [
{
"type": "text",
"text": prompt_text,
}
],
},
text_parts=text_parts,
reasoning_parts=reasoning_parts,
)
return "".join(text_parts), "".join(reasoning_parts)
finally:
self.close()
def _handle_server_message(
self,
msg: dict[str, Any],
*,
process: subprocess.Popen[str],
cwd: str,
text_parts: list[str] | None,
reasoning_parts: list[str] | None,
) -> bool:
method = msg.get("method")
if not isinstance(method, str):
return False
if method == "session/update":
params = msg.get("params") or {}
update = params.get("update") or {}
kind = str(update.get("sessionUpdate") or "").strip()
content = update.get("content") or {}
chunk_text = ""
if isinstance(content, dict):
chunk_text = str(content.get("text") or "")
if kind == "agent_message_chunk" and chunk_text and text_parts is not None:
text_parts.append(chunk_text)
elif kind == "agent_thought_chunk" and chunk_text and reasoning_parts is not None:
reasoning_parts.append(chunk_text)
return True
if process.stdin is None:
return True
message_id = msg.get("id")
params = msg.get("params") or {}
if method == "session/request_permission":
response = {
"jsonrpc": "2.0",
"id": message_id,
"result": {
"outcome": {
"outcome": "allow_once",
}
},
}
elif method == "fs/read_text_file":
try:
path = _ensure_path_within_cwd(str(params.get("path") or ""), cwd)
content = path.read_text() if path.exists() else ""
line = params.get("line")
limit = params.get("limit")
if isinstance(line, int) and line > 1:
lines = content.splitlines(keepends=True)
start = line - 1
end = start + limit if isinstance(limit, int) and limit > 0 else None
content = "".join(lines[start:end])
response = {
"jsonrpc": "2.0",
"id": message_id,
"result": {
"content": content,
},
}
except Exception as exc:
response = _jsonrpc_error(message_id, -32602, str(exc))
elif method == "fs/write_text_file":
try:
path = _ensure_path_within_cwd(str(params.get("path") or ""), cwd)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(str(params.get("content") or ""))
response = {
"jsonrpc": "2.0",
"id": message_id,
"result": None,
}
except Exception as exc:
response = _jsonrpc_error(message_id, -32602, str(exc))
else:
response = _jsonrpc_error(
message_id,
-32601,
f"ACP client method '{method}' is not supported by Hermes yet.",
)
process.stdin.write(json.dumps(response) + "\n")
process.stdin.flush()
return True

View File

@@ -17,23 +17,6 @@ _RESET = "\033[0m"
logger = logging.getLogger(__name__)
# =========================================================================
# Configurable tool preview length (0 = no limit)
# Set once at startup by CLI or gateway from display.tool_preview_length config.
# =========================================================================
_tool_preview_max_len: int = 0 # 0 = unlimited
def set_tool_preview_max_len(n: int) -> None:
"""Set the global max length for tool call previews. 0 = no limit."""
global _tool_preview_max_len
_tool_preview_max_len = max(int(n), 0) if n else 0
def get_tool_preview_max_len() -> int:
"""Return the configured max preview length (0 = unlimited)."""
return _tool_preview_max_len
# =========================================================================
# Skin-aware helpers (lazy import to avoid circular deps)
@@ -76,32 +59,6 @@ def get_skin_tool_prefix() -> str:
return ""
def get_tool_emoji(tool_name: str, default: str = "") -> str:
"""Get the display emoji for a tool.
Resolution order:
1. Active skin's ``tool_emojis`` overrides (if a skin is loaded)
2. Tool registry's per-tool ``emoji`` field
3. *default* fallback
"""
# 1. Skin override
skin = _get_skin()
if skin and skin.tool_emojis:
override = skin.tool_emojis.get(tool_name)
if override:
return override
# 2. Registry default
try:
from tools.registry import registry
emoji = registry.get_emoji(tool_name, default="")
if emoji:
return emoji
except Exception:
pass
# 3. Hardcoded fallback
return default
# =========================================================================
# Tool preview (one-line summary of a tool call's primary argument)
# =========================================================================
@@ -111,14 +68,8 @@ def _oneline(text: str) -> str:
return " ".join(text.split())
def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -> str | None:
"""Build a short preview of a tool call's primary argument for display.
*max_len* controls truncation. ``None`` (default) defers to the global
``_tool_preview_max_len`` set via config; ``0`` means unlimited.
"""
if max_len is None:
max_len = _tool_preview_max_len
def build_tool_preview(tool_name: str, args: dict, max_len: int = 40) -> str | None:
"""Build a short preview of a tool call's primary argument for display."""
if not args:
return None
primary_args = {
@@ -213,7 +164,7 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
preview = _oneline(str(value))
if not preview:
return None
if max_len > 0 and len(preview) > max_len:
if len(preview) > max_len:
preview = preview[:max_len - 3] + "..."
return preview
@@ -254,7 +205,7 @@ class KawaiiSpinner:
"analyzing", "computing", "synthesizing", "formulating", "brainstorming",
]
def __init__(self, message: str = "", spinner_type: str = 'dots', print_fn=None):
def __init__(self, message: str = "", spinner_type: str = 'dots'):
self.message = message
self.spinner_frames = self.SPINNERS.get(spinner_type, self.SPINNERS['dots'])
self.running = False
@@ -262,26 +213,13 @@ class KawaiiSpinner:
self.frame_idx = 0
self.start_time = None
self.last_line_len = 0
# Optional callable to route all output through (e.g. a no-op for silent
# background agents). When set, bypasses self._out entirely so that
# agents with _print_fn overridden remain fully silent.
self._print_fn = print_fn
self._last_flush_time = 0.0 # Rate-limit flushes for patch_stdout compat
# Capture stdout NOW, before any redirect_stdout(devnull) from
# child agents can replace sys.stdout with a black hole.
self._out = sys.stdout
def _write(self, text: str, end: str = '\n', flush: bool = False):
"""Write to the stdout captured at spinner creation time.
If a print_fn was supplied at construction, all output is routed through
it instead — allowing callers to silence the spinner with a no-op lambda.
"""
if self._print_fn is not None:
try:
self._print_fn(text)
except Exception:
pass
return
"""Write to the stdout captured at spinner creation time."""
try:
self._out.write(text + end)
if flush:
@@ -289,50 +227,7 @@ class KawaiiSpinner:
except (ValueError, OSError):
pass
@property
def _is_tty(self) -> bool:
"""Check if output is a real terminal, safe against closed streams."""
try:
return hasattr(self._out, 'isatty') and self._out.isatty()
except (ValueError, OSError):
return False
def _is_patch_stdout_proxy(self) -> bool:
"""Return True when stdout is prompt_toolkit's StdoutProxy.
patch_stdout wraps sys.stdout in a StdoutProxy that queues writes and
injects newlines around each flush(). The \\r overwrite never lands on
the correct line — each spinner frame ends up on its own line.
The CLI already drives a TUI widget (_spinner_text) for spinner display,
so KawaiiSpinner's \\r-based animation is redundant under StdoutProxy.
"""
try:
from prompt_toolkit.patch_stdout import StdoutProxy
return isinstance(self._out, StdoutProxy)
except ImportError:
return False
def _animate(self):
# When stdout is not a real terminal (e.g. Docker, systemd, pipe),
# skip the animation entirely — it creates massive log bloat.
# Just log the start once and let stop() log the completion.
if not self._is_tty:
self._write(f" [tool] {self.message}", flush=True)
while self.running:
time.sleep(0.5)
return
# When running inside prompt_toolkit's patch_stdout context the CLI
# renders spinner state via a dedicated TUI widget (_spinner_text).
# Driving a \r-based animation here too causes visual overdraw: the
# StdoutProxy injects newlines around each flush, so every frame lands
# on a new line and overwrites the status bar.
if self._is_patch_stdout_proxy():
while self.running:
time.sleep(0.1)
return
# Cache skin wings at start (avoid per-frame imports)
skin = _get_skin()
wings = skin.get_spinner_wings() if skin else []
@@ -349,7 +244,18 @@ class KawaiiSpinner:
else:
line = f" {frame} {self.message} ({elapsed:.1f}s)"
pad = max(self.last_line_len - len(line), 0)
self._write(f"\r{line}{' ' * pad}", end='', flush=True)
# Rate-limit flush() calls to avoid spinner spam under
# prompt_toolkit's patch_stdout. Each flush() pushes a queue
# item that may trigger a separate run_in_terminal() call; if
# items are processed one-at-a-time the \r overwrite is lost
# and every frame appears on its own line. By flushing at
# most every 0.4s we guarantee multiple \r-frames are batched
# into a single write, so the terminal collapses them correctly.
now = time.time()
should_flush = (now - self._last_flush_time) >= 0.4
self._write(f"\r{line}{' ' * pad}", end='', flush=should_flush)
if should_flush:
self._last_flush_time = now
self.last_line_len = len(line)
self.frame_idx += 1
time.sleep(0.12)
@@ -387,19 +293,12 @@ class KawaiiSpinner:
self.running = False
if self.thread:
self.thread.join(timeout=0.5)
is_tty = self._is_tty
if is_tty:
# Clear the spinner line with spaces instead of \033[K to avoid
# garbled escape codes when prompt_toolkit's patch_stdout is active.
blanks = ' ' * max(self.last_line_len + 5, 40)
self._write(f"\r{blanks}\r", end='', flush=True)
# Clear the spinner line with spaces instead of \033[K to avoid
# garbled escape codes when prompt_toolkit's patch_stdout is active.
blanks = ' ' * max(self.last_line_len + 5, 40)
self._write(f"\r{blanks}\r", end='', flush=True)
if final_message:
elapsed = f" ({time.time() - self.start_time:.1f}s)" if self.start_time else ""
if is_tty:
self._write(f" {final_message}", flush=True)
else:
self._write(f" [done] {final_message}{elapsed}", flush=True)
self._write(f" {final_message}", flush=True)
def __enter__(self):
self.start()
@@ -507,14 +406,10 @@ def get_cute_tool_message(
def _trunc(s, n=40):
s = str(s)
if _tool_preview_max_len == 0:
return s # no limit
return (s[:n-3] + "...") if len(s) > n else s
def _path(p, n=35):
p = str(p)
if _tool_preview_max_len == 0:
return p # no limit
return ("..." + p[-(n-3):]) if len(p) > n else p
def _wrap(line: str) -> str:
@@ -691,81 +586,3 @@ def write_tty(text: str) -> None:
except OSError:
sys.stdout.write(text)
sys.stdout.flush()
# =========================================================================
# Context pressure display (CLI user-facing warnings)
# =========================================================================
# ANSI color codes for context pressure tiers
_CYAN = "\033[36m"
_YELLOW = "\033[33m"
_BOLD = "\033[1m"
_DIM_ANSI = "\033[2m"
# Bar characters
_BAR_FILLED = ""
_BAR_EMPTY = ""
_BAR_WIDTH = 20
def format_context_pressure(
compaction_progress: float,
threshold_tokens: int,
threshold_percent: float,
compression_enabled: bool = True,
) -> str:
"""Build a formatted context pressure line for CLI display.
The bar and percentage show progress toward the compaction threshold,
NOT the raw context window. 100% = compaction fires.
Args:
compaction_progress: How close to compaction (0.01.0, 1.0 = fires).
threshold_tokens: Compaction threshold in tokens.
threshold_percent: Compaction threshold as a fraction of context window.
compression_enabled: Whether auto-compression is active.
"""
pct_int = min(int(compaction_progress * 100), 100)
filled = min(int(compaction_progress * _BAR_WIDTH), _BAR_WIDTH)
bar = _BAR_FILLED * filled + _BAR_EMPTY * (_BAR_WIDTH - filled)
threshold_k = f"{threshold_tokens // 1000}k" if threshold_tokens >= 1000 else str(threshold_tokens)
threshold_pct_int = int(threshold_percent * 100)
color = f"{_BOLD}{_YELLOW}"
icon = ""
if compression_enabled:
hint = "compaction approaching"
else:
hint = "no auto-compaction"
return (
f" {color}{icon} context {bar} {pct_int}% to compaction{_ANSI_RESET}"
f" {_DIM_ANSI}{threshold_k} threshold ({threshold_pct_int}%) · {hint}{_ANSI_RESET}"
)
def format_context_pressure_gateway(
compaction_progress: float,
threshold_percent: float,
compression_enabled: bool = True,
) -> str:
"""Build a plain-text context pressure notification for messaging platforms.
No ANSI — just Unicode and plain text suitable for Telegram/Discord/etc.
The percentage shows progress toward the compaction threshold.
"""
pct_int = min(int(compaction_progress * 100), 100)
filled = min(int(compaction_progress * _BAR_WIDTH), _BAR_WIDTH)
bar = _BAR_FILLED * filled + _BAR_EMPTY * (_BAR_WIDTH - filled)
threshold_pct_int = int(threshold_percent * 100)
icon = "⚠️"
if compression_enabled:
hint = f"Context compaction approaching (threshold: {threshold_pct_int}% of window)."
else:
hint = "Auto-compaction is disabled — context may be truncated."
return f"{icon} Context: {bar} {pct_int}% to compaction\n{hint}"

View File

@@ -20,23 +20,65 @@ import json
import time
from collections import Counter, defaultdict
from datetime import datetime
from typing import Any, Dict, List
from typing import Any, Dict, List, Optional
from agent.usage_pricing import (
CanonicalUsage,
DEFAULT_PRICING,
estimate_usage_cost,
format_duration_compact,
get_pricing,
has_known_pricing,
)
# =========================================================================
# Model pricing (USD per million tokens) — approximate as of early 2026
# =========================================================================
MODEL_PRICING = {
# OpenAI
"gpt-4o": {"input": 2.50, "output": 10.00},
"gpt-4o-mini": {"input": 0.15, "output": 0.60},
"gpt-4.1": {"input": 2.00, "output": 8.00},
"gpt-4.1-mini": {"input": 0.40, "output": 1.60},
"gpt-4.1-nano": {"input": 0.10, "output": 0.40},
"gpt-4.5-preview": {"input": 75.00, "output": 150.00},
"gpt-5": {"input": 10.00, "output": 30.00},
"gpt-5.4": {"input": 10.00, "output": 30.00},
"o3": {"input": 10.00, "output": 40.00},
"o3-mini": {"input": 1.10, "output": 4.40},
"o4-mini": {"input": 1.10, "output": 4.40},
# Anthropic
"claude-opus-4-20250514": {"input": 15.00, "output": 75.00},
"claude-sonnet-4-20250514": {"input": 3.00, "output": 15.00},
"claude-3-5-sonnet-20241022": {"input": 3.00, "output": 15.00},
"claude-3-5-haiku-20241022": {"input": 0.80, "output": 4.00},
"claude-3-opus-20240229": {"input": 15.00, "output": 75.00},
"claude-3-haiku-20240307": {"input": 0.25, "output": 1.25},
# DeepSeek
"deepseek-chat": {"input": 0.14, "output": 0.28},
"deepseek-reasoner": {"input": 0.55, "output": 2.19},
# Google
"gemini-2.5-pro": {"input": 1.25, "output": 10.00},
"gemini-2.5-flash": {"input": 0.15, "output": 0.60},
"gemini-2.0-flash": {"input": 0.10, "output": 0.40},
# Meta (via providers)
"llama-4-maverick": {"input": 0.50, "output": 0.70},
"llama-4-scout": {"input": 0.20, "output": 0.30},
# Z.AI / GLM (direct provider — pricing not published externally, treat as local)
"glm-5": {"input": 0.0, "output": 0.0},
"glm-4.7": {"input": 0.0, "output": 0.0},
"glm-4.5": {"input": 0.0, "output": 0.0},
"glm-4.5-flash": {"input": 0.0, "output": 0.0},
# Kimi / Moonshot (direct provider — pricing not published externally, treat as local)
"kimi-k2.5": {"input": 0.0, "output": 0.0},
"kimi-k2-thinking": {"input": 0.0, "output": 0.0},
"kimi-k2-turbo-preview": {"input": 0.0, "output": 0.0},
"kimi-k2-0905-preview": {"input": 0.0, "output": 0.0},
# MiniMax (direct provider — pricing not published externally, treat as local)
"MiniMax-M2.5": {"input": 0.0, "output": 0.0},
"MiniMax-M2.5-highspeed": {"input": 0.0, "output": 0.0},
"MiniMax-M2.1": {"input": 0.0, "output": 0.0},
}
_DEFAULT_PRICING = DEFAULT_PRICING
# Fallback: unknown/custom models get zero cost (we can't assume pricing
# for self-hosted models, custom OAI endpoints, local inference, etc.)
_DEFAULT_PRICING = {"input": 0.0, "output": 0.0}
def _has_known_pricing(model_name: str, provider: str = None, base_url: str = None) -> bool:
def _has_known_pricing(model_name: str) -> bool:
"""Check if a model has known pricing (vs unknown/custom endpoint)."""
return has_known_pricing(model_name, provider=provider, base_url=base_url)
return _get_pricing(model_name) is not _DEFAULT_PRICING
def _get_pricing(model_name: str) -> Dict[str, float]:
@@ -45,51 +87,67 @@ def _get_pricing(model_name: str) -> Dict[str, float]:
Returns _DEFAULT_PRICING (zero cost) for unknown/custom models —
we can't assume costs for self-hosted endpoints, local inference, etc.
"""
return get_pricing(model_name)
if not model_name:
return _DEFAULT_PRICING
# Strip provider prefix (e.g., "anthropic/claude-..." -> "claude-...")
bare = model_name.split("/")[-1].lower()
# Exact match first
if bare in MODEL_PRICING:
return MODEL_PRICING[bare]
# Fuzzy prefix match — prefer the LONGEST matching key to avoid
# e.g. "gpt-4o" matching before "gpt-4o-mini" for "gpt-4o-mini-2024-07-18"
best_match = None
best_len = 0
for key, price in MODEL_PRICING.items():
if bare.startswith(key) and len(key) > best_len:
best_match = price
best_len = len(key)
if best_match:
return best_match
# Keyword heuristics (checked in most-specific-first order)
if "opus" in bare:
return {"input": 15.00, "output": 75.00}
if "sonnet" in bare:
return {"input": 3.00, "output": 15.00}
if "haiku" in bare:
return {"input": 0.80, "output": 4.00}
if "gpt-4o-mini" in bare:
return {"input": 0.15, "output": 0.60}
if "gpt-4o" in bare:
return {"input": 2.50, "output": 10.00}
if "gpt-5" in bare:
return {"input": 10.00, "output": 30.00}
if "deepseek" in bare:
return {"input": 0.14, "output": 0.28}
if "gemini" in bare:
return {"input": 0.15, "output": 0.60}
return _DEFAULT_PRICING
def _estimate_cost(
session_or_model: Dict[str, Any] | str,
input_tokens: int = 0,
output_tokens: int = 0,
*,
cache_read_tokens: int = 0,
cache_write_tokens: int = 0,
provider: str = None,
base_url: str = None,
) -> tuple[float, str]:
"""Estimate the USD cost for a session row or a model/token tuple."""
if isinstance(session_or_model, dict):
session = session_or_model
model = session.get("model") or ""
usage = CanonicalUsage(
input_tokens=session.get("input_tokens") or 0,
output_tokens=session.get("output_tokens") or 0,
cache_read_tokens=session.get("cache_read_tokens") or 0,
cache_write_tokens=session.get("cache_write_tokens") or 0,
)
provider = session.get("billing_provider")
base_url = session.get("billing_base_url")
else:
model = session_or_model or ""
usage = CanonicalUsage(
input_tokens=input_tokens,
output_tokens=output_tokens,
cache_read_tokens=cache_read_tokens,
cache_write_tokens=cache_write_tokens,
)
result = estimate_usage_cost(
model,
usage,
provider=provider,
base_url=base_url,
)
return float(result.amount_usd or 0.0), result.status
def _estimate_cost(model: str, input_tokens: int, output_tokens: int) -> float:
"""Estimate the USD cost for a given model and token counts."""
pricing = _get_pricing(model)
return (input_tokens * pricing["input"] + output_tokens * pricing["output"]) / 1_000_000
def _format_duration(seconds: float) -> str:
"""Format seconds into a human-readable duration string."""
return format_duration_compact(seconds)
if seconds < 60:
return f"{seconds:.0f}s"
minutes = seconds / 60
if minutes < 60:
return f"{minutes:.0f}m"
hours = minutes / 60
if hours < 24:
remaining_min = int(minutes % 60)
return f"{int(hours)}h {remaining_min}m" if remaining_min else f"{int(hours)}h"
days = hours / 24
return f"{days:.1f}d"
def _bar_chart(values: List[int], max_width: int = 20) -> List[str]:
@@ -176,30 +234,24 @@ class InsightsEngine:
# Columns we actually need (skip system_prompt, model_config blobs)
_SESSION_COLS = ("id, source, model, started_at, ended_at, "
"message_count, tool_call_count, input_tokens, output_tokens, "
"cache_read_tokens, cache_write_tokens, billing_provider, "
"billing_base_url, billing_mode, estimated_cost_usd, "
"actual_cost_usd, cost_status, cost_source")
# Pre-computed query strings — f-string evaluated once at class definition,
# not at runtime, so no user-controlled value can alter the query structure.
_GET_SESSIONS_WITH_SOURCE = (
f"SELECT {_SESSION_COLS} FROM sessions"
" WHERE started_at >= ? AND source = ?"
" ORDER BY started_at DESC"
)
_GET_SESSIONS_ALL = (
f"SELECT {_SESSION_COLS} FROM sessions"
" WHERE started_at >= ?"
" ORDER BY started_at DESC"
)
"message_count, tool_call_count, input_tokens, output_tokens")
def _get_sessions(self, cutoff: float, source: str = None) -> List[Dict]:
"""Fetch sessions within the time window."""
if source:
cursor = self._conn.execute(self._GET_SESSIONS_WITH_SOURCE, (cutoff, source))
cursor = self._conn.execute(
f"""SELECT {self._SESSION_COLS} FROM sessions
WHERE started_at >= ? AND source = ?
ORDER BY started_at DESC""",
(cutoff, source),
)
else:
cursor = self._conn.execute(self._GET_SESSIONS_ALL, (cutoff,))
cursor = self._conn.execute(
f"""SELECT {self._SESSION_COLS} FROM sessions
WHERE started_at >= ?
ORDER BY started_at DESC""",
(cutoff,),
)
return [dict(row) for row in cursor.fetchall()]
def _get_tool_usage(self, cutoff: float, source: str = None) -> List[Dict]:
@@ -334,30 +386,21 @@ class InsightsEngine:
"""Compute high-level overview statistics."""
total_input = sum(s.get("input_tokens") or 0 for s in sessions)
total_output = sum(s.get("output_tokens") or 0 for s in sessions)
total_cache_read = sum(s.get("cache_read_tokens") or 0 for s in sessions)
total_cache_write = sum(s.get("cache_write_tokens") or 0 for s in sessions)
total_tokens = total_input + total_output + total_cache_read + total_cache_write
total_tokens = total_input + total_output
total_tool_calls = sum(s.get("tool_call_count") or 0 for s in sessions)
total_messages = sum(s.get("message_count") or 0 for s in sessions)
# Cost estimation (weighted by model)
total_cost = 0.0
actual_cost = 0.0
models_with_pricing = set()
models_without_pricing = set()
unknown_cost_sessions = 0
included_cost_sessions = 0
for s in sessions:
model = s.get("model") or ""
estimated, status = _estimate_cost(s)
total_cost += estimated
actual_cost += s.get("actual_cost_usd") or 0.0
inp = s.get("input_tokens") or 0
out = s.get("output_tokens") or 0
total_cost += _estimate_cost(model, inp, out)
display = model.split("/")[-1] if "/" in model else (model or "unknown")
if status == "included":
included_cost_sessions += 1
elif status == "unknown":
unknown_cost_sessions += 1
if _has_known_pricing(model, s.get("billing_provider"), s.get("billing_base_url")):
if _has_known_pricing(model):
models_with_pricing.add(display)
else:
models_without_pricing.add(display)
@@ -384,11 +427,8 @@ class InsightsEngine:
"total_tool_calls": total_tool_calls,
"total_input_tokens": total_input,
"total_output_tokens": total_output,
"total_cache_read_tokens": total_cache_read,
"total_cache_write_tokens": total_cache_write,
"total_tokens": total_tokens,
"estimated_cost": total_cost,
"actual_cost": actual_cost,
"total_hours": total_hours,
"avg_session_duration": avg_duration,
"avg_messages_per_session": total_messages / len(sessions) if sessions else 0,
@@ -400,15 +440,12 @@ class InsightsEngine:
"date_range_end": date_range_end,
"models_with_pricing": sorted(models_with_pricing),
"models_without_pricing": sorted(models_without_pricing),
"unknown_cost_sessions": unknown_cost_sessions,
"included_cost_sessions": included_cost_sessions,
}
def _compute_model_breakdown(self, sessions: List[Dict]) -> List[Dict]:
"""Break down usage by model."""
model_data = defaultdict(lambda: {
"sessions": 0, "input_tokens": 0, "output_tokens": 0,
"cache_read_tokens": 0, "cache_write_tokens": 0,
"total_tokens": 0, "tool_calls": 0, "cost": 0.0,
})
@@ -420,18 +457,12 @@ class InsightsEngine:
d["sessions"] += 1
inp = s.get("input_tokens") or 0
out = s.get("output_tokens") or 0
cache_read = s.get("cache_read_tokens") or 0
cache_write = s.get("cache_write_tokens") or 0
d["input_tokens"] += inp
d["output_tokens"] += out
d["cache_read_tokens"] += cache_read
d["cache_write_tokens"] += cache_write
d["total_tokens"] += inp + out + cache_read + cache_write
d["total_tokens"] += inp + out
d["tool_calls"] += s.get("tool_call_count") or 0
estimate, status = _estimate_cost(s)
d["cost"] += estimate
d["has_pricing"] = _has_known_pricing(model, s.get("billing_provider"), s.get("billing_base_url"))
d["cost_status"] = status
d["cost"] += _estimate_cost(model, inp, out)
d["has_pricing"] = _has_known_pricing(model)
result = [
{"model": model, **data}
@@ -445,8 +476,7 @@ class InsightsEngine:
"""Break down usage by platform/source."""
platform_data = defaultdict(lambda: {
"sessions": 0, "messages": 0, "input_tokens": 0,
"output_tokens": 0, "cache_read_tokens": 0,
"cache_write_tokens": 0, "total_tokens": 0, "tool_calls": 0,
"output_tokens": 0, "total_tokens": 0, "tool_calls": 0,
})
for s in sessions:
@@ -456,13 +486,9 @@ class InsightsEngine:
d["messages"] += s.get("message_count") or 0
inp = s.get("input_tokens") or 0
out = s.get("output_tokens") or 0
cache_read = s.get("cache_read_tokens") or 0
cache_write = s.get("cache_write_tokens") or 0
d["input_tokens"] += inp
d["output_tokens"] += out
d["cache_read_tokens"] += cache_read
d["cache_write_tokens"] += cache_write
d["total_tokens"] += inp + out + cache_read + cache_write
d["total_tokens"] += inp + out
d["tool_calls"] += s.get("tool_call_count") or 0
result = [
@@ -666,7 +692,7 @@ class InsightsEngine:
cost_cell = " N/A"
lines.append(f" {model_name:<30} {m['sessions']:>8} {m['total_tokens']:>12,} {cost_cell}")
if o.get("models_without_pricing"):
lines.append(" * Cost N/A for custom/self-hosted models")
lines.append(f" * Cost N/A for custom/self-hosted models")
lines.append("")
# Platform breakdown

View File

@@ -10,7 +10,6 @@ import re
import time
from pathlib import Path
from typing import Any, Dict, List, Optional
from urllib.parse import urlparse
import requests
import yaml
@@ -19,356 +18,61 @@ from hermes_constants import OPENROUTER_MODELS_URL
logger = logging.getLogger(__name__)
# Provider names that can appear as a "provider:" prefix before a model ID.
# Only these are stripped — Ollama-style "model:tag" colons (e.g. "qwen3.5:27b")
# are preserved so the full model name reaches cache lookups and server queries.
_PROVIDER_PREFIXES: frozenset[str] = frozenset({
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"zai", "kimi-coding", "minimax", "minimax-cn", "anthropic", "deepseek",
"opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
"custom", "local",
# Common aliases
"glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
"github-models", "kimi", "moonshot", "claude", "deep-seek",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
})
_OLLAMA_TAG_PATTERN = re.compile(
r"^(\d+\.?\d*b|latest|stable|q\d|fp?\d|instruct|chat|coder|vision|text)",
re.IGNORECASE,
)
def _strip_provider_prefix(model: str) -> str:
"""Strip a recognised provider prefix from a model string.
``"local:my-model"`` → ``"my-model"``
``"qwen3.5:27b"`` → ``"qwen3.5:27b"`` (unchanged — not a provider prefix)
``"qwen:0.5b"`` → ``"qwen:0.5b"`` (unchanged — Ollama model:tag)
``"deepseek:latest"``→ ``"deepseek:latest"``(unchanged — Ollama model:tag)
"""
if ":" not in model or model.startswith("http"):
return model
prefix, suffix = model.split(":", 1)
prefix_lower = prefix.strip().lower()
if prefix_lower in _PROVIDER_PREFIXES:
# Don't strip if suffix looks like an Ollama tag (e.g. "7b", "latest", "q4_0")
if _OLLAMA_TAG_PATTERN.match(suffix.strip()):
return model
return suffix
return model
_model_metadata_cache: Dict[str, Dict[str, Any]] = {}
_model_metadata_cache_time: float = 0
_MODEL_CACHE_TTL = 3600
_endpoint_model_metadata_cache: Dict[str, Dict[str, Dict[str, Any]]] = {}
_endpoint_model_metadata_cache_time: Dict[str, float] = {}
_ENDPOINT_MODEL_CACHE_TTL = 300
# Descending tiers for context length probing when the model is unknown.
# We start at 128K (a safe default for most modern models) and step down
# on context-length errors until one works.
# We start high and step down on context-length errors until one works.
CONTEXT_PROBE_TIERS = [
2_000_000,
1_000_000,
512_000,
200_000,
128_000,
64_000,
32_000,
16_000,
8_000,
]
# Default context length when no detection method succeeds.
DEFAULT_FALLBACK_CONTEXT = CONTEXT_PROBE_TIERS[0]
# Thin fallback defaults — only broad model family patterns.
# These fire only when provider is unknown AND models.dev/OpenRouter/Anthropic
# all miss. Replaced the previous 80+ entry dict.
# For provider-specific context lengths, models.dev is the primary source.
DEFAULT_CONTEXT_LENGTHS = {
# Anthropic Claude 4.6 (1M context) — bare IDs only to avoid
# fuzzy-match collisions (e.g. "anthropic/claude-sonnet-4" is a
# substring of "anthropic/claude-sonnet-4.6").
# OpenRouter-prefixed models resolve via OpenRouter live API or models.dev.
"claude-opus-4-6": 1000000,
"claude-sonnet-4-6": 1000000,
"claude-opus-4.6": 1000000,
"claude-sonnet-4.6": 1000000,
# Catch-all for older Claude models (must sort after specific entries)
"claude": 200000,
# OpenAI
"gpt-4.1": 1047576,
"gpt-5": 128000,
"gpt-4": 128000,
# Google
"gemini": 1048576,
# DeepSeek
"deepseek": 128000,
# Meta
"llama": 131072,
# Qwen
"qwen": 131072,
# MiniMax
"minimax": 204800,
# GLM
"glm": 202752,
# Kimi
"kimi": 262144,
# Hugging Face Inference Providers — model IDs use org/name format
"Qwen/Qwen3.5-397B-A17B": 131072,
"Qwen/Qwen3.5-35B-A3B": 131072,
"deepseek-ai/DeepSeek-V3.2": 65536,
"moonshotai/Kimi-K2.5": 262144,
"moonshotai/Kimi-K2-Thinking": 262144,
"MiniMaxAI/MiniMax-M2.5": 204800,
"XiaomiMiMo/MiMo-V2-Flash": 32768,
"zai-org/GLM-5": 202752,
"anthropic/claude-opus-4": 200000,
"anthropic/claude-opus-4.5": 200000,
"anthropic/claude-opus-4.6": 200000,
"anthropic/claude-sonnet-4": 200000,
"anthropic/claude-sonnet-4-20250514": 200000,
"anthropic/claude-haiku-4.5": 200000,
# Bare Anthropic model IDs (for native API provider)
"claude-opus-4-6": 200000,
"claude-sonnet-4-6": 200000,
"claude-opus-4-5-20251101": 200000,
"claude-sonnet-4-5-20250929": 200000,
"claude-opus-4-1-20250805": 200000,
"claude-opus-4-20250514": 200000,
"claude-sonnet-4-20250514": 200000,
"claude-haiku-4-5-20251001": 200000,
"openai/gpt-4o": 128000,
"openai/gpt-4-turbo": 128000,
"openai/gpt-4o-mini": 128000,
"google/gemini-2.0-flash": 1048576,
"google/gemini-2.5-pro": 1048576,
"meta-llama/llama-3.3-70b-instruct": 131072,
"deepseek/deepseek-chat-v3": 65536,
"qwen/qwen-2.5-72b-instruct": 32768,
"glm-4.7": 202752,
"glm-5": 202752,
"glm-4.5": 131072,
"glm-4.5-flash": 131072,
"kimi-for-coding": 262144,
"kimi-k2.5": 262144,
"kimi-k2-thinking": 262144,
"kimi-k2-thinking-turbo": 262144,
"kimi-k2-turbo-preview": 262144,
"kimi-k2-0905-preview": 131072,
"MiniMax-M2.5": 204800,
"MiniMax-M2.5-highspeed": 204800,
"MiniMax-M2.1": 204800,
}
_CONTEXT_LENGTH_KEYS = (
"context_length",
"context_window",
"max_context_length",
"max_position_embeddings",
"max_model_len",
"max_input_tokens",
"max_sequence_length",
"max_seq_len",
"n_ctx_train",
"n_ctx",
)
_MAX_COMPLETION_KEYS = (
"max_completion_tokens",
"max_output_tokens",
"max_tokens",
)
# Local server hostnames / address patterns
_LOCAL_HOSTS = ("localhost", "127.0.0.1", "::1", "0.0.0.0")
def _normalize_base_url(base_url: str) -> str:
return (base_url or "").strip().rstrip("/")
def _is_openrouter_base_url(base_url: str) -> bool:
return "openrouter.ai" in _normalize_base_url(base_url).lower()
def _is_custom_endpoint(base_url: str) -> bool:
normalized = _normalize_base_url(base_url)
return bool(normalized) and not _is_openrouter_base_url(normalized)
_URL_TO_PROVIDER: Dict[str, str] = {
"api.openai.com": "openai",
"chatgpt.com": "openai",
"api.anthropic.com": "anthropic",
"api.z.ai": "zai",
"api.moonshot.ai": "kimi-coding",
"api.kimi.com": "kimi-coding",
"api.minimax": "minimax",
"dashscope.aliyuncs.com": "alibaba",
"dashscope-intl.aliyuncs.com": "alibaba",
"openrouter.ai": "openrouter",
"generativelanguage.googleapis.com": "google",
"inference-api.nousresearch.com": "nous",
"api.deepseek.com": "deepseek",
"api.githubcopilot.com": "copilot",
"models.github.ai": "copilot",
}
def _infer_provider_from_url(base_url: str) -> Optional[str]:
"""Infer the models.dev provider name from a base URL.
This allows context length resolution via models.dev for custom endpoints
like DashScope (Alibaba), Z.AI, Kimi, etc. without requiring the user to
explicitly set the provider name in config.
"""
normalized = _normalize_base_url(base_url)
if not normalized:
return None
parsed = urlparse(normalized if "://" in normalized else f"https://{normalized}")
host = parsed.netloc.lower() or parsed.path.lower()
for url_part, provider in _URL_TO_PROVIDER.items():
if url_part in host:
return provider
return None
def _is_known_provider_base_url(base_url: str) -> bool:
return _infer_provider_from_url(base_url) is not None
def is_local_endpoint(base_url: str) -> bool:
"""Return True if base_url points to a local machine (localhost / RFC-1918 / WSL)."""
normalized = _normalize_base_url(base_url)
if not normalized:
return False
url = normalized if "://" in normalized else f"http://{normalized}"
try:
parsed = urlparse(url)
host = parsed.hostname or ""
except Exception:
return False
if host in _LOCAL_HOSTS:
return True
# RFC-1918 private ranges and link-local
import ipaddress
try:
addr = ipaddress.ip_address(host)
return addr.is_private or addr.is_loopback or addr.is_link_local
except ValueError:
pass
# Bare IP that looks like a private range (e.g. 172.26.x.x for WSL)
parts = host.split(".")
if len(parts) == 4:
try:
first, second = int(parts[0]), int(parts[1])
if first == 10:
return True
if first == 172 and 16 <= second <= 31:
return True
if first == 192 and second == 168:
return True
except ValueError:
pass
return False
def detect_local_server_type(base_url: str) -> Optional[str]:
"""Detect which local server is running at base_url by probing known endpoints.
Returns one of: "ollama", "lm-studio", "vllm", "llamacpp", or None.
"""
import httpx
normalized = _normalize_base_url(base_url)
server_url = normalized
if server_url.endswith("/v1"):
server_url = server_url[:-3]
try:
with httpx.Client(timeout=2.0) as client:
# LM Studio exposes /api/v1/models — check first (most specific)
try:
r = client.get(f"{server_url}/api/v1/models")
if r.status_code == 200:
return "lm-studio"
except Exception:
pass
# Ollama exposes /api/tags and responds with {"models": [...]}
# LM Studio returns {"error": "Unexpected endpoint"} with status 200
# on this path, so we must verify the response contains "models".
try:
r = client.get(f"{server_url}/api/tags")
if r.status_code == 200:
try:
data = r.json()
if "models" in data:
return "ollama"
except Exception:
pass
except Exception:
pass
# llama.cpp exposes /v1/props (older builds used /props without the /v1 prefix)
try:
r = client.get(f"{server_url}/v1/props")
if r.status_code != 200:
r = client.get(f"{server_url}/props") # fallback for older builds
if r.status_code == 200 and "default_generation_settings" in r.text:
return "llamacpp"
except Exception:
pass
# vLLM: /version
try:
r = client.get(f"{server_url}/version")
if r.status_code == 200:
data = r.json()
if "version" in data:
return "vllm"
except Exception:
pass
except Exception:
pass
return None
def _iter_nested_dicts(value: Any):
if isinstance(value, dict):
yield value
for nested in value.values():
yield from _iter_nested_dicts(nested)
elif isinstance(value, list):
for item in value:
yield from _iter_nested_dicts(item)
def _coerce_reasonable_int(value: Any, minimum: int = 1024, maximum: int = 10_000_000) -> Optional[int]:
try:
if isinstance(value, bool):
return None
if isinstance(value, str):
value = value.strip().replace(",", "")
result = int(value)
except (TypeError, ValueError):
return None
if minimum <= result <= maximum:
return result
return None
def _extract_first_int(payload: Dict[str, Any], keys: tuple[str, ...]) -> Optional[int]:
keyset = {key.lower() for key in keys}
for mapping in _iter_nested_dicts(payload):
for key, value in mapping.items():
if str(key).lower() not in keyset:
continue
coerced = _coerce_reasonable_int(value)
if coerced is not None:
return coerced
return None
def _extract_context_length(payload: Dict[str, Any]) -> Optional[int]:
return _extract_first_int(payload, _CONTEXT_LENGTH_KEYS)
def _extract_max_completion_tokens(payload: Dict[str, Any]) -> Optional[int]:
return _extract_first_int(payload, _MAX_COMPLETION_KEYS)
def _extract_pricing(payload: Dict[str, Any]) -> Dict[str, Any]:
alias_map = {
"prompt": ("prompt", "input", "input_cost_per_token", "prompt_token_cost"),
"completion": ("completion", "output", "output_cost_per_token", "completion_token_cost"),
"request": ("request", "request_cost"),
"cache_read": ("cache_read", "cached_prompt", "input_cache_read", "cache_read_cost_per_token"),
"cache_write": ("cache_write", "cache_creation", "input_cache_write", "cache_write_cost_per_token"),
}
for mapping in _iter_nested_dicts(payload):
normalized = {str(key).lower(): value for key, value in mapping.items()}
if not any(any(alias in normalized for alias in aliases) for aliases in alias_map.values()):
continue
pricing: Dict[str, Any] = {}
for target, aliases in alias_map.items():
for alias in aliases:
if alias in normalized and normalized[alias] not in (None, ""):
pricing[target] = normalized[alias]
break
if pricing:
return pricing
return {}
def _add_model_aliases(cache: Dict[str, Dict[str, Any]], model_id: str, entry: Dict[str, Any]) -> None:
cache[model_id] = entry
if "/" in model_id:
bare_model = model_id.split("/", 1)[1]
cache.setdefault(bare_model, entry)
def fetch_model_metadata(force_refresh: bool = False) -> Dict[str, Dict[str, Any]]:
"""Fetch model metadata from OpenRouter (cached for 1 hour)."""
@@ -385,16 +89,15 @@ def fetch_model_metadata(force_refresh: bool = False) -> Dict[str, Dict[str, Any
cache = {}
for model in data.get("data", []):
model_id = model.get("id", "")
entry = {
cache[model_id] = {
"context_length": model.get("context_length", 128000),
"max_completion_tokens": model.get("top_provider", {}).get("max_completion_tokens", 4096),
"name": model.get("name", model_id),
"pricing": model.get("pricing", {}),
}
_add_model_aliases(cache, model_id, entry)
canonical = model.get("canonical_slug", "")
if canonical and canonical != model_id:
_add_model_aliases(cache, canonical, entry)
cache[canonical] = cache[model_id]
_model_metadata_cache = cache
_model_metadata_cache_time = time.time()
@@ -406,97 +109,6 @@ def fetch_model_metadata(force_refresh: bool = False) -> Dict[str, Dict[str, Any
return _model_metadata_cache or {}
def fetch_endpoint_model_metadata(
base_url: str,
api_key: str = "",
force_refresh: bool = False,
) -> Dict[str, Dict[str, Any]]:
"""Fetch model metadata from an OpenAI-compatible ``/models`` endpoint.
This is used for explicit custom endpoints where hardcoded global model-name
defaults are unreliable. Results are cached in memory per base URL.
"""
normalized = _normalize_base_url(base_url)
if not normalized or _is_openrouter_base_url(normalized):
return {}
if not force_refresh:
cached = _endpoint_model_metadata_cache.get(normalized)
cached_at = _endpoint_model_metadata_cache_time.get(normalized, 0)
if cached is not None and (time.time() - cached_at) < _ENDPOINT_MODEL_CACHE_TTL:
return cached
candidates = [normalized]
if normalized.endswith("/v1"):
alternate = normalized[:-3].rstrip("/")
else:
alternate = normalized + "/v1"
if alternate and alternate not in candidates:
candidates.append(alternate)
headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
last_error: Optional[Exception] = None
for candidate in candidates:
url = candidate.rstrip("/") + "/models"
try:
response = requests.get(url, headers=headers, timeout=10)
response.raise_for_status()
payload = response.json()
cache: Dict[str, Dict[str, Any]] = {}
for model in payload.get("data", []):
if not isinstance(model, dict):
continue
model_id = model.get("id")
if not model_id:
continue
entry: Dict[str, Any] = {"name": model.get("name", model_id)}
context_length = _extract_context_length(model)
if context_length is not None:
entry["context_length"] = context_length
max_completion_tokens = _extract_max_completion_tokens(model)
if max_completion_tokens is not None:
entry["max_completion_tokens"] = max_completion_tokens
pricing = _extract_pricing(model)
if pricing:
entry["pricing"] = pricing
_add_model_aliases(cache, model_id, entry)
# If this is a llama.cpp server, query /props for actual allocated context
is_llamacpp = any(
m.get("owned_by") == "llamacpp"
for m in payload.get("data", []) if isinstance(m, dict)
)
if is_llamacpp:
try:
# Try /v1/props first (current llama.cpp); fall back to /props for older builds
base = candidate.rstrip("/").replace("/v1", "")
props_resp = requests.get(base + "/v1/props", headers=headers, timeout=5)
if not props_resp.ok:
props_resp = requests.get(base + "/props", headers=headers, timeout=5)
if props_resp.ok:
props = props_resp.json()
gen_settings = props.get("default_generation_settings", {})
n_ctx = gen_settings.get("n_ctx")
model_alias = props.get("model_alias", "")
if n_ctx and model_alias and model_alias in cache:
cache[model_alias]["context_length"] = n_ctx
except Exception:
pass
_endpoint_model_metadata_cache[normalized] = cache
_endpoint_model_metadata_cache_time[normalized] = time.time()
return cache
except Exception as exc:
last_error = exc
if last_error:
logger.debug("Failed to fetch model metadata from %s/models: %s", normalized, last_error)
_endpoint_model_metadata_cache[normalized] = {}
_endpoint_model_metadata_cache_time[normalized] = time.time()
return {}
def _get_context_cache_path() -> Path:
"""Return path to the persistent context length cache file."""
hermes_home = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
@@ -504,7 +116,7 @@ def _get_context_cache_path() -> Path:
def _load_context_cache() -> Dict[str, int]:
"""Load the model+provider -> context_length cache from disk."""
"""Load the model+provider context_length cache from disk."""
path = _get_context_cache_path()
if not path.exists():
return {}
@@ -533,7 +145,7 @@ def save_context_length(model: str, base_url: str, length: int) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
with open(path, "w") as f:
yaml.dump({"context_lengths": cache}, f, default_flow_style=False)
logger.info("Cached context length %s -> %s tokens", key, f"{length:,}")
logger.info("Cached context length %s %s tokens", key, f"{length:,}")
except Exception as e:
logger.debug("Failed to save context length cache: %s", e)
@@ -581,317 +193,33 @@ def parse_context_limit_from_error(error_msg: str) -> Optional[int]:
return None
def _model_id_matches(candidate_id: str, lookup_model: str) -> bool:
"""Return True if *candidate_id* (from server) matches *lookup_model* (configured).
Supports two forms:
- Exact match: "nvidia-nemotron-super-49b-v1" == "nvidia-nemotron-super-49b-v1"
- Slug match: "nvidia/nvidia-nemotron-super-49b-v1" matches "nvidia-nemotron-super-49b-v1"
(the part after the last "/" equals lookup_model)
This covers LM Studio's native API which stores models as "publisher/slug"
while users typically configure only the slug after the "local:" prefix.
"""
if candidate_id == lookup_model:
return True
# Slug match: basename of candidate equals the lookup name
if "/" in candidate_id and candidate_id.rsplit("/", 1)[1] == lookup_model:
return True
return False
def _query_local_context_length(model: str, base_url: str) -> Optional[int]:
"""Query a local server for the model's context length."""
import httpx
# Strip recognised provider prefix (e.g., "local:model-name" → "model-name").
# Ollama "model:tag" colons (e.g. "qwen3.5:27b") are intentionally preserved.
model = _strip_provider_prefix(model)
# Strip /v1 suffix to get the server root
server_url = base_url.rstrip("/")
if server_url.endswith("/v1"):
server_url = server_url[:-3]
try:
server_type = detect_local_server_type(base_url)
except Exception:
server_type = None
try:
with httpx.Client(timeout=3.0) as client:
# Ollama: /api/show returns model details with context info
if server_type == "ollama":
resp = client.post(f"{server_url}/api/show", json={"name": model})
if resp.status_code == 200:
data = resp.json()
# Check model_info for context length
model_info = data.get("model_info", {})
for key, value in model_info.items():
if "context_length" in key and isinstance(value, (int, float)):
return int(value)
# Check parameters string for num_ctx
params = data.get("parameters", "")
if "num_ctx" in params:
for line in params.split("\n"):
if "num_ctx" in line:
parts = line.strip().split()
if len(parts) >= 2:
try:
return int(parts[-1])
except ValueError:
pass
# LM Studio native API: /api/v1/models returns max_context_length.
# This is more reliable than the OpenAI-compat /v1/models which
# doesn't include context window information for LM Studio servers.
# Use _model_id_matches for fuzzy matching: LM Studio stores models as
# "publisher/slug" but users configure only "slug" after "local:" prefix.
if server_type == "lm-studio":
resp = client.get(f"{server_url}/api/v1/models")
if resp.status_code == 200:
data = resp.json()
for m in data.get("models", []):
if _model_id_matches(m.get("key", ""), model) or _model_id_matches(m.get("id", ""), model):
# Prefer loaded instance context (actual runtime value)
for inst in m.get("loaded_instances", []):
cfg = inst.get("config", {})
ctx = cfg.get("context_length")
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
# Fall back to max_context_length (theoretical model max)
ctx = m.get("max_context_length") or m.get("context_length")
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
# LM Studio / vLLM / llama.cpp: try /v1/models/{model}
resp = client.get(f"{server_url}/v1/models/{model}")
if resp.status_code == 200:
data = resp.json()
# vLLM returns max_model_len
ctx = data.get("max_model_len") or data.get("context_length") or data.get("max_tokens")
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
# Try /v1/models and find the model in the list.
# Use _model_id_matches to handle "publisher/slug" vs bare "slug".
resp = client.get(f"{server_url}/v1/models")
if resp.status_code == 200:
data = resp.json()
models_list = data.get("data", [])
for m in models_list:
if _model_id_matches(m.get("id", ""), model):
ctx = m.get("max_model_len") or m.get("context_length") or m.get("max_tokens")
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
except Exception:
pass
return None
def _normalize_model_version(model: str) -> str:
"""Normalize version separators for matching.
Nous uses dashes: claude-opus-4-6, claude-sonnet-4-5
OpenRouter uses dots: claude-opus-4.6, claude-sonnet-4.5
Normalize both to dashes for comparison.
"""
return model.replace(".", "-")
def _query_anthropic_context_length(model: str, base_url: str, api_key: str) -> Optional[int]:
"""Query Anthropic's /v1/models endpoint for context length.
Only works with regular ANTHROPIC_API_KEY (sk-ant-api*).
OAuth tokens (sk-ant-oat*) from Claude Code return 401.
"""
if not api_key or api_key.startswith("sk-ant-oat"):
return None # OAuth tokens can't access /v1/models
try:
base = base_url.rstrip("/")
if base.endswith("/v1"):
base = base[:-3]
url = f"{base}/v1/models?limit=1000"
headers = {
"x-api-key": api_key,
"anthropic-version": "2023-06-01",
}
resp = requests.get(url, headers=headers, timeout=10)
if resp.status_code != 200:
return None
data = resp.json()
for m in data.get("data", []):
if m.get("id") == model:
ctx = m.get("max_input_tokens")
if isinstance(ctx, int) and ctx > 0:
return ctx
except Exception as e:
logger.debug("Anthropic /v1/models query failed: %s", e)
return None
def _resolve_nous_context_length(model: str) -> Optional[int]:
"""Resolve Nous Portal model context length via OpenRouter metadata.
Nous model IDs are bare (e.g. 'claude-opus-4-6') while OpenRouter uses
prefixed IDs (e.g. 'anthropic/claude-opus-4.6'). Try suffix matching
with version normalization (dot↔dash).
"""
metadata = fetch_model_metadata() # OpenRouter cache
# Exact match first
if model in metadata:
return metadata[model].get("context_length")
normalized = _normalize_model_version(model).lower()
for or_id, entry in metadata.items():
bare = or_id.split("/", 1)[1] if "/" in or_id else or_id
if bare.lower() == model.lower() or _normalize_model_version(bare).lower() == normalized:
return entry.get("context_length")
# Partial prefix match for cases like gemini-3-flash → gemini-3-flash-preview
# Require match to be at a word boundary (followed by -, :, or end of string)
model_lower = model.lower()
for or_id, entry in metadata.items():
bare = or_id.split("/", 1)[1] if "/" in or_id else or_id
for candidate, query in [(bare.lower(), model_lower), (_normalize_model_version(bare).lower(), normalized)]:
if candidate.startswith(query) and (
len(candidate) == len(query) or candidate[len(query)] in "-:."
):
return entry.get("context_length")
return None
def get_model_context_length(
model: str,
base_url: str = "",
api_key: str = "",
config_context_length: int | None = None,
provider: str = "",
) -> int:
def get_model_context_length(model: str, base_url: str = "") -> int:
"""Get the context length for a model.
Resolution order:
0. Explicit config override (model.context_length or custom_providers per-model)
1. Persistent cache (previously discovered via probing)
2. Active endpoint metadata (/models for explicit custom endpoints)
3. Local server query (for local endpoints)
4. Anthropic /v1/models API (API-key users only, not OAuth)
5. OpenRouter live API metadata
6. Nous suffix-match via OpenRouter cache
7. models.dev registry lookup (provider-aware)
8. Thin hardcoded defaults (broad family patterns)
9. Default fallback (128K)
2. OpenRouter API metadata
3. Hardcoded DEFAULT_CONTEXT_LENGTHS (fuzzy match)
4. First probe tier (2M) — will be narrowed on first context error
"""
# 0. Explicit config override — user knows best
if config_context_length is not None and isinstance(config_context_length, int) and config_context_length > 0:
return config_context_length
# Normalise provider-prefixed model names (e.g. "local:model-name" →
# "model-name") so cache lookups and server queries use the bare ID that
# local servers actually know about. Ollama "model:tag" colons are preserved.
model = _strip_provider_prefix(model)
# 1. Check persistent cache (model+provider)
if base_url:
cached = get_cached_context_length(model, base_url)
if cached is not None:
return cached
# 2. Active endpoint metadata for truly custom/unknown endpoints.
# Known providers (Copilot, OpenAI, Anthropic, etc.) skip this — their
# /models endpoint may report a provider-imposed limit (e.g. Copilot
# returns 128k) instead of the model's full context (400k). models.dev
# has the correct per-provider values and is checked at step 5+.
if _is_custom_endpoint(base_url) and not _is_known_provider_base_url(base_url):
endpoint_metadata = fetch_endpoint_model_metadata(base_url, api_key=api_key)
matched = endpoint_metadata.get(model)
if not matched:
# Single-model servers: if only one model is loaded, use it
if len(endpoint_metadata) == 1:
matched = next(iter(endpoint_metadata.values()))
else:
# Fuzzy match: substring in either direction
for key, entry in endpoint_metadata.items():
if model in key or key in model:
matched = entry
break
if matched:
context_length = matched.get("context_length")
if isinstance(context_length, int):
return context_length
if not _is_known_provider_base_url(base_url):
# 3. Try querying local server directly
if is_local_endpoint(base_url):
local_ctx = _query_local_context_length(model, base_url)
if local_ctx and local_ctx > 0:
save_context_length(model, base_url, local_ctx)
return local_ctx
logger.info(
"Could not detect context length for model %r at %s"
"defaulting to %s tokens (probe-down). Set model.context_length "
"in config.yaml to override.",
model, base_url, f"{DEFAULT_FALLBACK_CONTEXT:,}",
)
return DEFAULT_FALLBACK_CONTEXT
# 4. Anthropic /v1/models API (only for regular API keys, not OAuth)
if provider == "anthropic" or (
base_url and "api.anthropic.com" in base_url
):
ctx = _query_anthropic_context_length(model, base_url or "https://api.anthropic.com", api_key)
if ctx:
return ctx
# 5. Provider-aware lookups (before generic OpenRouter cache)
# These are provider-specific and take priority over the generic OR cache,
# since the same model can have different context limits per provider
# (e.g. claude-opus-4.6 is 1M on Anthropic but 128K on GitHub Copilot).
# If provider is generic (openrouter/custom/empty), try to infer from URL.
effective_provider = provider
if not effective_provider or effective_provider in ("openrouter", "custom"):
if base_url:
inferred = _infer_provider_from_url(base_url)
if inferred:
effective_provider = inferred
if effective_provider == "nous":
ctx = _resolve_nous_context_length(model)
if ctx:
return ctx
if effective_provider:
from agent.models_dev import lookup_models_dev_context
ctx = lookup_models_dev_context(effective_provider, model)
if ctx:
return ctx
# 6. OpenRouter live API metadata (provider-unaware fallback)
# 2. OpenRouter API metadata
metadata = fetch_model_metadata()
if model in metadata:
return metadata[model].get("context_length", 128000)
# 8. Hardcoded defaults (fuzzy match — longest key first for specificity)
# Only check `default_model in model` (is the key a substring of the input).
# The reverse (`model in default_model`) causes shorter names like
# "claude-sonnet-4" to incorrectly match "claude-sonnet-4-6" and return 1M.
model_lower = model.lower()
for default_model, length in sorted(
DEFAULT_CONTEXT_LENGTHS.items(), key=lambda x: len(x[0]), reverse=True
):
if default_model in model_lower:
# 3. Hardcoded defaults (fuzzy match)
for default_model, length in DEFAULT_CONTEXT_LENGTHS.items():
if default_model in model or model in default_model:
return length
# 9. Query local server as last resort
if base_url and is_local_endpoint(base_url):
local_ctx = _query_local_context_length(model, base_url)
if local_ctx and local_ctx > 0:
save_context_length(model, base_url, local_ctx)
return local_ctx
# 10. Default fallback — 128K
return DEFAULT_FALLBACK_CONTEXT
# 4. Unknown model — start at highest probe tier
return CONTEXT_PROBE_TIERS[0]
def estimate_tokens_rough(text: str) -> int:
@@ -905,26 +233,3 @@ def estimate_messages_tokens_rough(messages: List[Dict[str, Any]]) -> int:
"""Rough token estimate for a message list (pre-flight only)."""
total_chars = sum(len(str(msg)) for msg in messages)
return total_chars // 4
def estimate_request_tokens_rough(
messages: List[Dict[str, Any]],
*,
system_prompt: str = "",
tools: Optional[List[Dict[str, Any]]] = None,
) -> int:
"""Rough token estimate for a full chat-completions request.
Includes the major payload buckets Hermes sends to providers:
system prompt, conversation messages, and tool schemas. With 50+
tools enabled, schemas alone can add 20-30K tokens — a significant
blind spot when only counting messages.
"""
total_chars = 0
if system_prompt:
total_chars += len(system_prompt)
if messages:
total_chars += sum(len(str(msg)) for msg in messages)
if tools:
total_chars += len(str(tools))
return total_chars // 4

View File

@@ -1,171 +0,0 @@
"""Models.dev registry integration for provider-aware context length detection.
Fetches model metadata from https://models.dev/api.json — a community-maintained
database of 3800+ models across 100+ providers, including per-provider context
windows, pricing, and capabilities.
Data is cached in memory (1hr TTL) and on disk (~/.hermes/models_dev_cache.json)
to avoid cold-start network latency.
"""
import json
import logging
import os
import time
from pathlib import Path
from typing import Any, Dict, Optional
from utils import atomic_json_write
import requests
logger = logging.getLogger(__name__)
MODELS_DEV_URL = "https://models.dev/api.json"
_MODELS_DEV_CACHE_TTL = 3600 # 1 hour in-memory
# In-memory cache
_models_dev_cache: Dict[str, Any] = {}
_models_dev_cache_time: float = 0
# Provider ID mapping: Hermes provider names → models.dev provider IDs
PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"openrouter": "openrouter",
"anthropic": "anthropic",
"zai": "zai",
"kimi-coding": "kimi-for-coding",
"minimax": "minimax",
"minimax-cn": "minimax-cn",
"deepseek": "deepseek",
"alibaba": "alibaba",
"copilot": "github-copilot",
"ai-gateway": "vercel",
"opencode-zen": "opencode",
"opencode-go": "opencode-go",
"kilocode": "kilo",
}
def _get_cache_path() -> Path:
"""Return path to disk cache file."""
env_val = os.environ.get("HERMES_HOME", "")
hermes_home = Path(env_val) if env_val else Path.home() / ".hermes"
return hermes_home / "models_dev_cache.json"
def _load_disk_cache() -> Dict[str, Any]:
"""Load models.dev data from disk cache."""
try:
cache_path = _get_cache_path()
if cache_path.exists():
with open(cache_path, encoding="utf-8") as f:
return json.load(f)
except Exception as e:
logger.debug("Failed to load models.dev disk cache: %s", e)
return {}
def _save_disk_cache(data: Dict[str, Any]) -> None:
"""Save models.dev data to disk cache atomically."""
try:
cache_path = _get_cache_path()
atomic_json_write(cache_path, data, indent=None, separators=(",", ":"))
except Exception as e:
logger.debug("Failed to save models.dev disk cache: %s", e)
def fetch_models_dev(force_refresh: bool = False) -> Dict[str, Any]:
"""Fetch models.dev registry. In-memory cache (1hr) + disk fallback.
Returns the full registry dict keyed by provider ID, or empty dict on failure.
"""
global _models_dev_cache, _models_dev_cache_time
# Check in-memory cache
if (
not force_refresh
and _models_dev_cache
and (time.time() - _models_dev_cache_time) < _MODELS_DEV_CACHE_TTL
):
return _models_dev_cache
# Try network fetch
try:
response = requests.get(MODELS_DEV_URL, timeout=15)
response.raise_for_status()
data = response.json()
if isinstance(data, dict) and len(data) > 0:
_models_dev_cache = data
_models_dev_cache_time = time.time()
_save_disk_cache(data)
logger.debug(
"Fetched models.dev registry: %d providers, %d total models",
len(data),
sum(len(p.get("models", {})) for p in data.values() if isinstance(p, dict)),
)
return data
except Exception as e:
logger.debug("Failed to fetch models.dev: %s", e)
# Fall back to disk cache — use a short TTL (5 min) so we retry
# the network fetch soon instead of serving stale data for a full hour.
if not _models_dev_cache:
_models_dev_cache = _load_disk_cache()
if _models_dev_cache:
_models_dev_cache_time = time.time() - _MODELS_DEV_CACHE_TTL + 300
logger.debug("Loaded models.dev from disk cache (%d providers)", len(_models_dev_cache))
return _models_dev_cache
def lookup_models_dev_context(provider: str, model: str) -> Optional[int]:
"""Look up context_length for a provider+model combo in models.dev.
Returns the context window in tokens, or None if not found.
Handles case-insensitive matching and filters out context=0 entries.
"""
mdev_provider_id = PROVIDER_TO_MODELS_DEV.get(provider)
if not mdev_provider_id:
return None
data = fetch_models_dev()
provider_data = data.get(mdev_provider_id)
if not isinstance(provider_data, dict):
return None
models = provider_data.get("models", {})
if not isinstance(models, dict):
return None
# Exact match
entry = models.get(model)
if entry:
ctx = _extract_context(entry)
if ctx:
return ctx
# Case-insensitive match
model_lower = model.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower:
ctx = _extract_context(mdata)
if ctx:
return ctx
return None
def _extract_context(entry: Dict[str, Any]) -> Optional[int]:
"""Extract context_length from a models.dev model entry.
Returns None for invalid/zero values (some audio/image models have context=0).
"""
if not isinstance(entry, dict):
return None
limit = entry.get("limit")
if not isinstance(limit, dict):
return None
ctx = limit.get("context")
if isinstance(ctx, (int, float)) and ctx > 0:
return int(ctx)
return None

View File

@@ -4,28 +4,12 @@ All functions are stateless. AIAgent._build_system_prompt() calls these to
assemble pieces, then combines them with memory and ephemeral prompts.
"""
import json
import logging
import os
import re
import threading
from collections import OrderedDict
from pathlib import Path
from hermes_constants import get_hermes_home
from typing import Optional
from agent.skill_utils import (
extract_skill_conditions,
extract_skill_description,
get_all_skills_dirs,
get_disabled_skill_names,
iter_skill_index_files,
parse_frontmatter,
skill_matches_platform,
)
from utils import atomic_json_write
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
@@ -72,61 +56,6 @@ def _scan_context_content(content: str, filename: str) -> str:
return content
def _find_git_root(start: Path) -> Optional[Path]:
"""Walk *start* and its parents looking for a ``.git`` directory.
Returns the directory containing ``.git``, or ``None`` if we hit the
filesystem root without finding one.
"""
current = start.resolve()
for parent in [current, *current.parents]:
if (parent / ".git").exists():
return parent
return None
_HERMES_MD_NAMES = (".hermes.md", "HERMES.md")
def _find_hermes_md(cwd: Path) -> Optional[Path]:
"""Discover the nearest ``.hermes.md`` or ``HERMES.md``.
Search order: *cwd* first, then each parent directory up to (and
including) the git repository root. Returns the first match, or
``None`` if nothing is found.
"""
stop_at = _find_git_root(cwd)
current = cwd.resolve()
for directory in [current, *current.parents]:
for name in _HERMES_MD_NAMES:
candidate = directory / name
if candidate.is_file():
return candidate
# Stop walking at the git root (or filesystem root).
if stop_at and directory == stop_at:
break
return None
def _strip_yaml_frontmatter(content: str) -> str:
"""Remove optional YAML frontmatter (``---`` delimited) from *content*.
The frontmatter may contain structured config (model overrides, tool
settings) that will be handled separately in a future PR. For now we
strip it so only the human-readable markdown body is injected into the
system prompt.
"""
if content.startswith("---"):
end = content.find("\n---", 3)
if end != -1:
# Skip past the closing --- and any trailing newline
body = content[end + 4:].lstrip("\n")
return body if body else content
return content
# =========================================================================
# Constants
# =========================================================================
@@ -144,15 +73,9 @@ DEFAULT_AGENT_IDENTITY = (
MEMORY_GUIDANCE = (
"You have persistent memory across sessions. Save durable facts using the memory "
"tool: user preferences, environment details, tool quirks, and stable conventions. "
"Memory is injected into every turn, so keep it compact and focused on facts that "
"will still matter later.\n"
"Prioritize what reduces future user steering — the most valuable memory is one "
"that prevents the user from having to correct or remind you again. "
"User preferences and recurring corrections matter more than procedural task details.\n"
"Do NOT save task progress, session outcomes, completed-work logs, or temporary TODO "
"state to memory; use session_search to recall those from past transcripts. "
"If you've discovered a new way to do something, solved a problem that could be "
"necessary later, save it as a skill with the skill tool."
"Memory is injected into every turn, so keep it compact. Do NOT save task progress, "
"session outcomes, or completed-work logs to memory; use session_search to recall "
"those from past transcripts."
)
SESSION_SEARCH_GUIDANCE = (
@@ -163,32 +86,10 @@ SESSION_SEARCH_GUIDANCE = (
SKILLS_GUIDANCE = (
"After completing a complex task (5+ tool calls), fixing a tricky error, "
"or discovering a non-trivial workflow, save the approach as a "
"skill with skill_manage so you can reuse it next time.\n"
"When using a skill and finding it outdated, incomplete, or wrong, "
"patch it immediately with skill_manage(action='patch') — don't wait to be asked. "
"Skills that aren't maintained become liabilities."
"or discovering a non-trivial workflow, consider saving the approach as a "
"skill with skill_manage so you can reuse it next time."
)
TOOL_USE_ENFORCEMENT_GUIDANCE = (
"# Tool-use enforcement\n"
"You MUST use your tools to take action — do not describe what you would do "
"or plan to do without actually doing it. When you say you will perform an "
"action (e.g. 'I will run the tests', 'Let me check the file', 'I will create "
"the project'), you MUST immediately make the corresponding tool call in the same "
"response. Never end your turn with a promise of future action — execute it now.\n"
"Keep working until the task is actually complete. Do not stop with a summary of "
"what you plan to do next time. If you have tools available that can accomplish "
"the task, use them instead of telling the user what you would do.\n"
"Every response should either (a) contain tool calls that make progress, or "
"(b) deliver a final result to the user. Responses that only describe intentions "
"without acting are not acceptable."
)
# Model name substrings that trigger tool-use enforcement guidance.
# Add new patterns here when a model family needs explicit steering.
TOOL_USE_ENFORCEMENT_MODELS = ("gpt", "codex")
PLATFORM_HINTS = {
"whatsapp": (
"You are on a text messaging communication platform, WhatsApp. "
@@ -241,21 +142,16 @@ PLATFORM_HINTS = {
"contextually appropriate."
),
"cron": (
"You are running as a scheduled cron job. There is no user present — you "
"cannot ask questions, request clarification, or wait for follow-up. Execute "
"the task fully and autonomously, making reasonable decisions where needed. "
"Your final response is automatically delivered to the job's configured "
"destination — put the primary content directly in your response."
"You are running as a scheduled cron job. Your final response is automatically "
"delivered to the job's configured destination, so do not use send_message to "
"send to that same target again. If you want the user to receive something in "
"the scheduled destination, put it directly in your final response. Use "
"send_message only for additional or different targets."
),
"cli": (
"You are a CLI AI Agent. Try not to use markdown but simple text "
"renderable inside a terminal."
),
"sms": (
"You are communicating via SMS. Keep responses concise and use plain text "
"only — no markdown, no formatting. SMS messages are limited to ~1600 "
"characters, so be brief and direct."
),
}
CONTEXT_FILE_MAX_CHARS = 20_000
@@ -263,111 +159,6 @@ CONTEXT_TRUNCATE_HEAD_RATIO = 0.7
CONTEXT_TRUNCATE_TAIL_RATIO = 0.2
# =========================================================================
# Skills prompt cache
# =========================================================================
_SKILLS_PROMPT_CACHE_MAX = 8
_SKILLS_PROMPT_CACHE: OrderedDict[tuple, str] = OrderedDict()
_SKILLS_PROMPT_CACHE_LOCK = threading.Lock()
_SKILLS_SNAPSHOT_VERSION = 1
def _skills_prompt_snapshot_path() -> Path:
return get_hermes_home() / ".skills_prompt_snapshot.json"
def clear_skills_system_prompt_cache(*, clear_snapshot: bool = False) -> None:
"""Drop the in-process skills prompt cache (and optionally the disk snapshot)."""
with _SKILLS_PROMPT_CACHE_LOCK:
_SKILLS_PROMPT_CACHE.clear()
if clear_snapshot:
try:
_skills_prompt_snapshot_path().unlink(missing_ok=True)
except OSError as e:
logger.debug("Could not remove skills prompt snapshot: %s", e)
def _build_skills_manifest(skills_dir: Path) -> dict[str, list[int]]:
"""Build an mtime/size manifest of all SKILL.md and DESCRIPTION.md files."""
manifest: dict[str, list[int]] = {}
for filename in ("SKILL.md", "DESCRIPTION.md"):
for path in iter_skill_index_files(skills_dir, filename):
try:
st = path.stat()
except OSError:
continue
manifest[str(path.relative_to(skills_dir))] = [st.st_mtime_ns, st.st_size]
return manifest
def _load_skills_snapshot(skills_dir: Path) -> Optional[dict]:
"""Load the disk snapshot if it exists and its manifest still matches."""
snapshot_path = _skills_prompt_snapshot_path()
if not snapshot_path.exists():
return None
try:
snapshot = json.loads(snapshot_path.read_text(encoding="utf-8"))
except Exception:
return None
if not isinstance(snapshot, dict):
return None
if snapshot.get("version") != _SKILLS_SNAPSHOT_VERSION:
return None
if snapshot.get("manifest") != _build_skills_manifest(skills_dir):
return None
return snapshot
def _write_skills_snapshot(
skills_dir: Path,
manifest: dict[str, list[int]],
skill_entries: list[dict],
category_descriptions: dict[str, str],
) -> None:
"""Persist skill metadata to disk for fast cold-start reuse."""
payload = {
"version": _SKILLS_SNAPSHOT_VERSION,
"manifest": manifest,
"skills": skill_entries,
"category_descriptions": category_descriptions,
}
try:
atomic_json_write(_skills_prompt_snapshot_path(), payload)
except Exception as e:
logger.debug("Could not write skills prompt snapshot: %s", e)
def _build_snapshot_entry(
skill_file: Path,
skills_dir: Path,
frontmatter: dict,
description: str,
) -> dict:
"""Build a serialisable metadata dict for one skill."""
rel_path = skill_file.relative_to(skills_dir)
parts = rel_path.parts
if len(parts) >= 2:
skill_name = parts[-2]
category = "/".join(parts[:-2]) if len(parts) > 2 else parts[0]
else:
category = "general"
skill_name = skill_file.parent.name
platforms = frontmatter.get("platforms") or []
if isinstance(platforms, str):
platforms = [platforms]
return {
"skill_name": skill_name,
"category": category,
"frontmatter_name": str(frontmatter.get("name", skill_name)),
"description": description,
"platforms": [str(p).strip() for p in platforms if str(p).strip()],
"conditions": extract_skill_conditions(frontmatter),
}
# =========================================================================
# Skills index
# =========================================================================
@@ -379,13 +170,22 @@ def _parse_skill_file(skill_file: Path) -> tuple[bool, dict, str]:
(True, {}, "") to err on the side of showing the skill.
"""
try:
from tools.skills_tool import _parse_frontmatter, skill_matches_platform
raw = skill_file.read_text(encoding="utf-8")[:2000]
frontmatter, _ = parse_frontmatter(raw)
frontmatter, _ = _parse_frontmatter(raw)
if not skill_matches_platform(frontmatter):
return False, frontmatter, ""
return False, {}, ""
return True, frontmatter, extract_skill_description(frontmatter)
desc = ""
raw_desc = frontmatter.get("description", "")
if raw_desc:
desc = str(raw_desc).strip().strip("'\"")
if len(desc) > 60:
desc = desc[:57] + "..."
return True, frontmatter, desc
except Exception as e:
logger.debug("Failed to parse skill file %s: %s", skill_file, e)
return True, {}, ""
@@ -394,9 +194,16 @@ def _parse_skill_file(skill_file: Path) -> tuple[bool, dict, str]:
def _read_skill_conditions(skill_file: Path) -> dict:
"""Extract conditional activation fields from SKILL.md frontmatter."""
try:
from tools.skills_tool import _parse_frontmatter
raw = skill_file.read_text(encoding="utf-8")[:2000]
frontmatter, _ = parse_frontmatter(raw)
return extract_skill_conditions(frontmatter)
frontmatter, _ = _parse_frontmatter(raw)
hermes = frontmatter.get("metadata", {}).get("hermes", {})
return {
"fallback_for_toolsets": hermes.get("fallback_for_toolsets", []),
"requires_toolsets": hermes.get("requires_toolsets", []),
"fallback_for_tools": hermes.get("fallback_for_tools", []),
"requires_tools": hermes.get("requires_tools", []),
}
except Exception as e:
logger.debug("Failed to read skill conditions from %s: %s", skill_file, e)
return {}
@@ -439,210 +246,93 @@ def build_skills_system_prompt(
) -> str:
"""Build a compact skill index for the system prompt.
Two-layer cache:
1. In-process LRU dict keyed by (skills_dir, tools, toolsets)
2. Disk snapshot (``.skills_prompt_snapshot.json``) validated by
mtime/size manifest — survives process restarts
Falls back to a full filesystem scan when both layers miss.
External skill directories (``skills.external_dirs`` in config.yaml) are
scanned alongside the local ``~/.hermes/skills/`` directory. External dirs
are read-only — they appear in the index but new skills are always created
in the local dir. Local skills take precedence when names collide.
Scans ~/.hermes/skills/ for SKILL.md files grouped by category.
Includes per-skill descriptions from frontmatter so the model can
match skills by meaning, not just name.
Filters out skills incompatible with the current OS platform.
"""
hermes_home = get_hermes_home()
hermes_home = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
skills_dir = hermes_home / "skills"
external_dirs = get_all_skills_dirs()[1:] # skip local (index 0)
if not skills_dir.exists() and not external_dirs:
if not skills_dir.exists():
return ""
# ── Layer 1: in-process LRU cache ─────────────────────────────────
cache_key = (
str(skills_dir.resolve()),
tuple(str(d) for d in external_dirs),
tuple(sorted(str(t) for t in (available_tools or set()))),
tuple(sorted(str(ts) for ts in (available_toolsets or set()))),
)
with _SKILLS_PROMPT_CACHE_LOCK:
cached = _SKILLS_PROMPT_CACHE.get(cache_key)
if cached is not None:
_SKILLS_PROMPT_CACHE.move_to_end(cache_key)
return cached
disabled = get_disabled_skill_names()
# ── Layer 2: disk snapshot ────────────────────────────────────────
snapshot = _load_skills_snapshot(skills_dir)
# Collect skills with descriptions, grouped by category.
# Each entry: (skill_name, description)
# Supports sub-categories: skills/mlops/training/axolotl/SKILL.md
# -> category "mlops/training", skill "axolotl"
skills_by_category: dict[str, list[tuple[str, str]]] = {}
category_descriptions: dict[str, str] = {}
for skill_file in skills_dir.rglob("SKILL.md"):
is_compatible, _, desc = _parse_skill_file(skill_file)
if not is_compatible:
continue
# Skip skills whose conditional activation rules exclude them
conditions = _read_skill_conditions(skill_file)
if not _skill_should_show(conditions, available_tools, available_toolsets):
continue
rel_path = skill_file.relative_to(skills_dir)
parts = rel_path.parts
if len(parts) >= 2:
# Category is everything between skills_dir and the skill folder
# e.g. parts = ("mlops", "training", "axolotl", "SKILL.md")
# → category = "mlops/training", skill_name = "axolotl"
# e.g. parts = ("github", "github-auth", "SKILL.md")
# → category = "github", skill_name = "github-auth"
skill_name = parts[-2]
category = "/".join(parts[:-2]) if len(parts) > 2 else parts[0]
else:
category = "general"
skill_name = skill_file.parent.name
skills_by_category.setdefault(category, []).append((skill_name, desc))
if snapshot is not None:
# Fast path: use pre-parsed metadata from disk
for entry in snapshot.get("skills", []):
if not isinstance(entry, dict):
continue
skill_name = entry.get("skill_name") or ""
category = entry.get("category") or "general"
frontmatter_name = entry.get("frontmatter_name") or skill_name
platforms = entry.get("platforms") or []
if not skill_matches_platform({"platforms": platforms}):
continue
if frontmatter_name in disabled or skill_name in disabled:
continue
if not _skill_should_show(
entry.get("conditions") or {},
available_tools,
available_toolsets,
):
continue
skills_by_category.setdefault(category, []).append(
(skill_name, entry.get("description", ""))
)
category_descriptions = {
str(k): str(v)
for k, v in (snapshot.get("category_descriptions") or {}).items()
}
else:
# Cold path: full filesystem scan + write snapshot for next time
skill_entries: list[dict] = []
for skill_file in iter_skill_index_files(skills_dir, "SKILL.md"):
is_compatible, frontmatter, desc = _parse_skill_file(skill_file)
entry = _build_snapshot_entry(skill_file, skills_dir, frontmatter, desc)
skill_entries.append(entry)
if not is_compatible:
continue
skill_name = entry["skill_name"]
if entry["frontmatter_name"] in disabled or skill_name in disabled:
continue
if not _skill_should_show(
extract_skill_conditions(frontmatter),
available_tools,
available_toolsets,
):
continue
skills_by_category.setdefault(entry["category"], []).append(
(skill_name, entry["description"])
)
if not skills_by_category:
return ""
# Read category-level DESCRIPTION.md files
for desc_file in iter_skill_index_files(skills_dir, "DESCRIPTION.md"):
# Read category-level descriptions from DESCRIPTION.md
# Checks both the exact category path and parent directories
category_descriptions = {}
for category in skills_by_category:
cat_path = Path(category)
desc_file = skills_dir / cat_path / "DESCRIPTION.md"
if desc_file.exists():
try:
content = desc_file.read_text(encoding="utf-8")
fm, _ = parse_frontmatter(content)
cat_desc = fm.get("description")
if not cat_desc:
continue
rel = desc_file.relative_to(skills_dir)
cat = "/".join(rel.parts[:-1]) if len(rel.parts) > 1 else "general"
category_descriptions[cat] = str(cat_desc).strip().strip("'\"")
match = re.search(r"^---\s*\n.*?description:\s*(.+?)\s*\n.*?^---", content, re.MULTILINE | re.DOTALL)
if match:
category_descriptions[category] = match.group(1).strip()
except Exception as e:
logger.debug("Could not read skill description %s: %s", desc_file, e)
_write_skills_snapshot(
skills_dir,
_build_skills_manifest(skills_dir),
skill_entries,
category_descriptions,
)
# ── External skill directories ─────────────────────────────────────
# Scan external dirs directly (no snapshot caching — they're read-only
# and typically small). Local skills already in skills_by_category take
# precedence: we track seen names and skip duplicates from external dirs.
seen_skill_names: set[str] = set()
for cat_skills in skills_by_category.values():
for name, _desc in cat_skills:
seen_skill_names.add(name)
for ext_dir in external_dirs:
if not ext_dir.exists():
continue
for skill_file in iter_skill_index_files(ext_dir, "SKILL.md"):
try:
is_compatible, frontmatter, desc = _parse_skill_file(skill_file)
if not is_compatible:
continue
entry = _build_snapshot_entry(skill_file, ext_dir, frontmatter, desc)
skill_name = entry["skill_name"]
if skill_name in seen_skill_names:
continue
if entry["frontmatter_name"] in disabled or skill_name in disabled:
continue
if not _skill_should_show(
extract_skill_conditions(frontmatter),
available_tools,
available_toolsets,
):
continue
seen_skill_names.add(skill_name)
skills_by_category.setdefault(entry["category"], []).append(
(skill_name, entry["description"])
)
except Exception as e:
logger.debug("Error reading external skill %s: %s", skill_file, e)
# External category descriptions
for desc_file in iter_skill_index_files(ext_dir, "DESCRIPTION.md"):
try:
content = desc_file.read_text(encoding="utf-8")
fm, _ = parse_frontmatter(content)
cat_desc = fm.get("description")
if not cat_desc:
continue
rel = desc_file.relative_to(ext_dir)
cat = "/".join(rel.parts[:-1]) if len(rel.parts) > 1 else "general"
category_descriptions.setdefault(cat, str(cat_desc).strip().strip("'\""))
except Exception as e:
logger.debug("Could not read external skill description %s: %s", desc_file, e)
if not skills_by_category:
result = ""
else:
index_lines = []
for category in sorted(skills_by_category.keys()):
cat_desc = category_descriptions.get(category, "")
if cat_desc:
index_lines.append(f" {category}: {cat_desc}")
index_lines = []
for category in sorted(skills_by_category.keys()):
cat_desc = category_descriptions.get(category, "")
if cat_desc:
index_lines.append(f" {category}: {cat_desc}")
else:
index_lines.append(f" {category}:")
# Deduplicate and sort skills within each category
seen = set()
for name, desc in sorted(skills_by_category[category], key=lambda x: x[0]):
if name in seen:
continue
seen.add(name)
if desc:
index_lines.append(f" - {name}: {desc}")
else:
index_lines.append(f" {category}:")
# Deduplicate and sort skills within each category
seen = set()
for name, desc in sorted(skills_by_category[category], key=lambda x: x[0]):
if name in seen:
continue
seen.add(name)
if desc:
index_lines.append(f" - {name}: {desc}")
else:
index_lines.append(f" - {name}")
index_lines.append(f" - {name}")
result = (
"## Skills (mandatory)\n"
"Before replying, scan the skills below. If one clearly matches your task, "
"load it with skill_view(name) and follow its instructions. "
"If a skill has issues, fix it with skill_manage(action='patch').\n"
"After difficult/iterative tasks, offer to save as a skill. "
"If a skill you loaded was missing steps, had wrong commands, or needed "
"pitfalls you discovered, update it before finishing.\n"
"\n"
"<available_skills>\n"
+ "\n".join(index_lines) + "\n"
"</available_skills>\n"
"\n"
"If none match, proceed normally without loading a skill."
)
# ── Store in LRU cache ────────────────────────────────────────────
with _SKILLS_PROMPT_CACHE_LOCK:
_SKILLS_PROMPT_CACHE[cache_key] = result
_SKILLS_PROMPT_CACHE.move_to_end(cache_key)
while len(_SKILLS_PROMPT_CACHE) > _SKILLS_PROMPT_CACHE_MAX:
_SKILLS_PROMPT_CACHE.popitem(last=False)
return result
return (
"## Skills (mandatory)\n"
"Before replying, scan the skills below. If one clearly matches your task, "
"load it with skill_view(name) and follow its instructions. "
"If a skill has issues, fix it with skill_manage(action='patch').\n"
"\n"
"<available_skills>\n"
+ "\n".join(index_lines) + "\n"
"</available_skills>\n"
"\n"
"If none match, proceed normally without loading a skill."
)
# =========================================================================
@@ -661,91 +351,51 @@ def _truncate_content(content: str, filename: str, max_chars: int = CONTEXT_FILE
return head + marker + tail
def load_soul_md() -> Optional[str]:
"""Load SOUL.md from HERMES_HOME and return its content, or None.
def build_context_files_prompt(cwd: Optional[str] = None) -> str:
"""Discover and load context files for the system prompt.
Used as the agent identity (slot #1 in the system prompt). When this
returns content, ``build_context_files_prompt`` should be called with
``skip_soul=True`` so SOUL.md isn't injected twice.
Discovery: AGENTS.md (recursive), .cursorrules / .cursor/rules/*.mdc,
and SOUL.md from HERMES_HOME only. Each capped at 20,000 chars.
"""
try:
from hermes_cli.config import ensure_hermes_home
ensure_hermes_home()
except Exception as e:
logger.debug("Could not ensure HERMES_HOME before loading SOUL.md: %s", e)
if cwd is None:
cwd = os.getcwd()
soul_path = get_hermes_home() / "SOUL.md"
if not soul_path.exists():
return None
try:
content = soul_path.read_text(encoding="utf-8").strip()
if not content:
return None
content = _scan_context_content(content, "SOUL.md")
content = _truncate_content(content, "SOUL.md")
return content
except Exception as e:
logger.debug("Could not read SOUL.md from %s: %s", soul_path, e)
return None
cwd_path = Path(cwd).resolve()
sections = []
def _load_hermes_md(cwd_path: Path) -> str:
""".hermes.md / HERMES.md — walk to git root."""
hermes_md_path = _find_hermes_md(cwd_path)
if not hermes_md_path:
return ""
try:
content = hermes_md_path.read_text(encoding="utf-8").strip()
if not content:
return ""
content = _strip_yaml_frontmatter(content)
rel = hermes_md_path.name
try:
rel = str(hermes_md_path.relative_to(cwd_path))
except ValueError:
pass
content = _scan_context_content(content, rel)
result = f"## {rel}\n\n{content}"
return _truncate_content(result, ".hermes.md")
except Exception as e:
logger.debug("Could not read %s: %s", hermes_md_path, e)
return ""
def _load_agents_md(cwd_path: Path) -> str:
"""AGENTS.md — top-level only (no recursive walk)."""
# AGENTS.md (hierarchical, recursive)
top_level_agents = None
for name in ["AGENTS.md", "agents.md"]:
candidate = cwd_path / name
if candidate.exists():
top_level_agents = candidate
break
if top_level_agents:
agents_files = []
for root, dirs, files in os.walk(cwd_path):
dirs[:] = [d for d in dirs if not d.startswith('.') and d not in ('node_modules', '__pycache__', 'venv', '.venv')]
for f in files:
if f.lower() == "agents.md":
agents_files.append(Path(root) / f)
agents_files.sort(key=lambda p: len(p.parts))
total_agents_content = ""
for agents_path in agents_files:
try:
content = candidate.read_text(encoding="utf-8").strip()
content = agents_path.read_text(encoding="utf-8").strip()
if content:
content = _scan_context_content(content, name)
result = f"## {name}\n\n{content}"
return _truncate_content(result, "AGENTS.md")
rel_path = agents_path.relative_to(cwd_path)
content = _scan_context_content(content, str(rel_path))
total_agents_content += f"## {rel_path}\n\n{content}\n\n"
except Exception as e:
logger.debug("Could not read %s: %s", candidate, e)
return ""
logger.debug("Could not read %s: %s", agents_path, e)
if total_agents_content:
total_agents_content = _truncate_content(total_agents_content, "AGENTS.md")
sections.append(total_agents_content)
def _load_claude_md(cwd_path: Path) -> str:
"""CLAUDE.md / claude.md — cwd only."""
for name in ["CLAUDE.md", "claude.md"]:
candidate = cwd_path / name
if candidate.exists():
try:
content = candidate.read_text(encoding="utf-8").strip()
if content:
content = _scan_context_content(content, name)
result = f"## {name}\n\n{content}"
return _truncate_content(result, "CLAUDE.md")
except Exception as e:
logger.debug("Could not read %s: %s", candidate, e)
return ""
def _load_cursorrules(cwd_path: Path) -> str:
""".cursorrules + .cursor/rules/*.mdc — cwd only."""
# .cursorrules
cursorrules_content = ""
cursorrules_file = cwd_path / ".cursorrules"
if cursorrules_file.exists():
@@ -769,47 +419,27 @@ def _load_cursorrules(cwd_path: Path) -> str:
except Exception as e:
logger.debug("Could not read %s: %s", mdc_file, e)
if not cursorrules_content:
return ""
return _truncate_content(cursorrules_content, ".cursorrules")
if cursorrules_content:
cursorrules_content = _truncate_content(cursorrules_content, ".cursorrules")
sections.append(cursorrules_content)
# SOUL.md from HERMES_HOME only
try:
from hermes_cli.config import ensure_hermes_home
ensure_hermes_home()
except Exception as e:
logger.debug("Could not ensure HERMES_HOME before loading SOUL.md: %s", e)
def build_context_files_prompt(cwd: Optional[str] = None, skip_soul: bool = False) -> str:
"""Discover and load context files for the system prompt.
Priority (first found wins — only ONE project context type is loaded):
1. .hermes.md / HERMES.md (walk to git root)
2. AGENTS.md / agents.md (cwd only)
3. CLAUDE.md / claude.md (cwd only)
4. .cursorrules / .cursor/rules/*.mdc (cwd only)
SOUL.md from HERMES_HOME is independent and always included when present.
Each context source is capped at 20,000 chars.
When *skip_soul* is True, SOUL.md is not included here (it was already
loaded via ``load_soul_md()`` for the identity slot).
"""
if cwd is None:
cwd = os.getcwd()
cwd_path = Path(cwd).resolve()
sections = []
# Priority-based project context: first match wins
project_context = (
_load_hermes_md(cwd_path)
or _load_agents_md(cwd_path)
or _load_claude_md(cwd_path)
or _load_cursorrules(cwd_path)
)
if project_context:
sections.append(project_context)
# SOUL.md from HERMES_HOME only — skip when already loaded as identity
if not skip_soul:
soul_content = load_soul_md()
if soul_content:
sections.append(soul_content)
soul_path = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes")) / "SOUL.md"
if soul_path.exists():
try:
content = soul_path.read_text(encoding="utf-8").strip()
if content:
content = _scan_context_content(content, "SOUL.md")
content = _truncate_content(content, "SOUL.md")
sections.append(content)
except Exception as e:
logger.debug("Could not read SOUL.md from %s: %s", soul_path, e)
if not sections:
return ""

View File

@@ -12,14 +12,13 @@ import copy
from typing import Any, Dict, List
def _apply_cache_marker(msg: dict, cache_marker: dict, native_anthropic: bool = False) -> None:
def _apply_cache_marker(msg: dict, cache_marker: dict) -> None:
"""Add cache_control to a single message, handling all format variations."""
role = msg.get("role", "")
content = msg.get("content")
if role == "tool":
if native_anthropic:
msg["cache_control"] = cache_marker
msg["cache_control"] = cache_marker
return
if content is None or content == "":
@@ -41,7 +40,6 @@ def _apply_cache_marker(msg: dict, cache_marker: dict, native_anthropic: bool =
def apply_anthropic_cache_control(
api_messages: List[Dict[str, Any]],
cache_ttl: str = "5m",
native_anthropic: bool = False,
) -> List[Dict[str, Any]]:
"""Apply system_and_3 caching strategy to messages for Anthropic models.
@@ -61,12 +59,12 @@ def apply_anthropic_cache_control(
breakpoints_used = 0
if messages[0].get("role") == "system":
_apply_cache_marker(messages[0], marker, native_anthropic=native_anthropic)
_apply_cache_marker(messages[0], marker)
breakpoints_used += 1
remaining = 4 - breakpoints_used
non_sys = [i for i in range(len(messages)) if messages[i].get("role") != "system"]
for idx in non_sys[-remaining:]:
_apply_cache_marker(messages[idx], marker, native_anthropic=native_anthropic)
_apply_cache_marker(messages[idx], marker)
return messages

View File

@@ -37,9 +37,6 @@ _PREFIX_PATTERNS = [
r"dop_v1_[A-Za-z0-9]{10,}", # DigitalOcean PAT
r"doo_v1_[A-Za-z0-9]{10,}", # DigitalOcean OAuth
r"am_[A-Za-z0-9_-]{10,}", # AgentMail API key
r"sk_[A-Za-z0-9_]{10,}", # ElevenLabs TTS key (sk_ underscore, not sk- dash)
r"tvly-[A-Za-z0-9]{10,}", # Tavily search API key
r"exa_[A-Za-z0-9]{10,}", # Exa search API key
]
# ENV assignment patterns: KEY=value where KEY contains a secret-like name
@@ -103,10 +100,6 @@ def redact_sensitive_text(text: str) -> str:
Safe to call on any string -- non-matching text passes through unchanged.
Disabled when security.redact_secrets is false in config.yaml.
"""
if text is None:
return None
if not isinstance(text, str):
text = str(text)
if not text:
return text
if os.getenv("HERMES_REDACT_SECRETS", "").lower() in ("0", "false", "no", "off"):

View File

@@ -128,11 +128,7 @@ def _build_skill_message(
supporting.append(rel)
if supporting and skill_dir:
try:
skill_view_target = str(skill_dir.relative_to(SKILLS_DIR))
except ValueError:
# Skill is from an external dir — use the skill name instead
skill_view_target = skill_dir.name
skill_view_target = str(skill_dir.relative_to(SKILLS_DIR))
parts.append("")
parts.append("[This skill has supporting files you can load with the skill_view tool:]")
for sf in supporting:
@@ -161,50 +157,35 @@ def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
global _skill_commands
_skill_commands = {}
try:
from tools.skills_tool import SKILLS_DIR, _parse_frontmatter, skill_matches_platform, _get_disabled_skill_names
from agent.skill_utils import get_external_skills_dirs
disabled = _get_disabled_skill_names()
seen_names: set = set()
# Scan local dir first, then external dirs
dirs_to_scan = []
if SKILLS_DIR.exists():
dirs_to_scan.append(SKILLS_DIR)
dirs_to_scan.extend(get_external_skills_dirs())
for scan_dir in dirs_to_scan:
for skill_md in scan_dir.rglob("SKILL.md"):
if any(part in ('.git', '.github', '.hub') for part in skill_md.parts):
continue
try:
content = skill_md.read_text(encoding='utf-8')
frontmatter, body = _parse_frontmatter(content)
# Skip skills incompatible with the current OS platform
if not skill_matches_platform(frontmatter):
continue
name = frontmatter.get('name', skill_md.parent.name)
if name in seen_names:
continue
# Respect user's disabled skills config
if name in disabled:
continue
description = frontmatter.get('description', '')
if not description:
for line in body.strip().split('\n'):
line = line.strip()
if line and not line.startswith('#'):
description = line[:80]
break
seen_names.add(name)
cmd_name = name.lower().replace(' ', '-').replace('_', '-')
_skill_commands[f"/{cmd_name}"] = {
"name": name,
"description": description or f"Invoke the {name} skill",
"skill_md_path": str(skill_md),
"skill_dir": str(skill_md.parent),
}
except Exception:
from tools.skills_tool import SKILLS_DIR, _parse_frontmatter, skill_matches_platform
if not SKILLS_DIR.exists():
return _skill_commands
for skill_md in SKILLS_DIR.rglob("SKILL.md"):
if any(part in ('.git', '.github', '.hub') for part in skill_md.parts):
continue
try:
content = skill_md.read_text(encoding='utf-8')
frontmatter, body = _parse_frontmatter(content)
# Skip skills incompatible with the current OS platform
if not skill_matches_platform(frontmatter):
continue
name = frontmatter.get('name', skill_md.parent.name)
description = frontmatter.get('description', '')
if not description:
for line in body.strip().split('\n'):
line = line.strip()
if line and not line.startswith('#'):
description = line[:80]
break
cmd_name = name.lower().replace(' ', '-').replace('_', '-')
_skill_commands[f"/{cmd_name}"] = {
"name": name,
"description": description or f"Invoke the {name} skill",
"skill_md_path": str(skill_md),
"skill_dir": str(skill_md.parent),
}
except Exception:
continue
except Exception:
pass
return _skill_commands

View File

@@ -1,270 +0,0 @@
"""Lightweight skill metadata utilities shared by prompt_builder and skills_tool.
This module intentionally avoids importing the tool registry, CLI config, or any
heavy dependency chain. It is safe to import at module level without triggering
tool registration or provider resolution.
"""
import logging
import os
import re
import sys
from pathlib import Path
from typing import Any, Dict, List, Optional, Set, Tuple
from hermes_constants import get_hermes_home
logger = logging.getLogger(__name__)
# ── Platform mapping ──────────────────────────────────────────────────────
PLATFORM_MAP = {
"macos": "darwin",
"linux": "linux",
"windows": "win32",
}
EXCLUDED_SKILL_DIRS = frozenset((".git", ".github", ".hub"))
# ── Lazy YAML loader ─────────────────────────────────────────────────────
_yaml_load_fn = None
def yaml_load(content: str):
"""Parse YAML with lazy import and CSafeLoader preference."""
global _yaml_load_fn
if _yaml_load_fn is None:
import yaml
loader = getattr(yaml, "CSafeLoader", None) or yaml.SafeLoader
def _load(value: str):
return yaml.load(value, Loader=loader)
_yaml_load_fn = _load
return _yaml_load_fn(content)
# ── Frontmatter parsing ──────────────────────────────────────────────────
def parse_frontmatter(content: str) -> Tuple[Dict[str, Any], str]:
"""Parse YAML frontmatter from a markdown string.
Uses yaml with CSafeLoader for full YAML support (nested metadata, lists)
with a fallback to simple key:value splitting for robustness.
Returns:
(frontmatter_dict, remaining_body)
"""
frontmatter: Dict[str, Any] = {}
body = content
if not content.startswith("---"):
return frontmatter, body
end_match = re.search(r"\n---\s*\n", content[3:])
if not end_match:
return frontmatter, body
yaml_content = content[3 : end_match.start() + 3]
body = content[end_match.end() + 3 :]
try:
parsed = yaml_load(yaml_content)
if isinstance(parsed, dict):
frontmatter = parsed
except Exception:
# Fallback: simple key:value parsing for malformed YAML
for line in yaml_content.strip().split("\n"):
if ":" not in line:
continue
key, value = line.split(":", 1)
frontmatter[key.strip()] = value.strip()
return frontmatter, body
# ── Platform matching ─────────────────────────────────────────────────────
def skill_matches_platform(frontmatter: Dict[str, Any]) -> bool:
"""Return True when the skill is compatible with the current OS.
Skills declare platform requirements via a top-level ``platforms`` list
in their YAML frontmatter::
platforms: [macos] # macOS only
platforms: [macos, linux] # macOS and Linux
If the field is absent or empty the skill is compatible with **all**
platforms (backward-compatible default).
"""
platforms = frontmatter.get("platforms")
if not platforms:
return True
if not isinstance(platforms, list):
platforms = [platforms]
current = sys.platform
for platform in platforms:
normalized = str(platform).lower().strip()
mapped = PLATFORM_MAP.get(normalized, normalized)
if current.startswith(mapped):
return True
return False
# ── Disabled skills ───────────────────────────────────────────────────────
def get_disabled_skill_names() -> Set[str]:
"""Read disabled skill names from config.yaml.
Resolves platform from ``HERMES_PLATFORM`` env var, falls back to
the global disabled list. Reads the config file directly (no CLI
config imports) to stay lightweight.
"""
config_path = get_hermes_home() / "config.yaml"
if not config_path.exists():
return set()
try:
parsed = yaml_load(config_path.read_text(encoding="utf-8"))
except Exception as e:
logger.debug("Could not read skill config %s: %s", config_path, e)
return set()
if not isinstance(parsed, dict):
return set()
skills_cfg = parsed.get("skills")
if not isinstance(skills_cfg, dict):
return set()
resolved_platform = os.getenv("HERMES_PLATFORM")
if resolved_platform:
platform_disabled = (skills_cfg.get("platform_disabled") or {}).get(
resolved_platform
)
if platform_disabled is not None:
return _normalize_string_set(platform_disabled)
return _normalize_string_set(skills_cfg.get("disabled"))
def _normalize_string_set(values) -> Set[str]:
if values is None:
return set()
if isinstance(values, str):
values = [values]
return {str(v).strip() for v in values if str(v).strip()}
# ── External skills directories ──────────────────────────────────────────
def get_external_skills_dirs() -> List[Path]:
"""Read ``skills.external_dirs`` from config.yaml and return validated paths.
Each entry is expanded (``~`` and ``${VAR}``) and resolved to an absolute
path. Only directories that actually exist are returned. Duplicates and
paths that resolve to the local ``~/.hermes/skills/`` are silently skipped.
"""
config_path = get_hermes_home() / "config.yaml"
if not config_path.exists():
return []
try:
parsed = yaml_load(config_path.read_text(encoding="utf-8"))
except Exception:
return []
if not isinstance(parsed, dict):
return []
skills_cfg = parsed.get("skills")
if not isinstance(skills_cfg, dict):
return []
raw_dirs = skills_cfg.get("external_dirs")
if not raw_dirs:
return []
if isinstance(raw_dirs, str):
raw_dirs = [raw_dirs]
if not isinstance(raw_dirs, list):
return []
local_skills = (get_hermes_home() / "skills").resolve()
seen: Set[Path] = set()
result: List[Path] = []
for entry in raw_dirs:
entry = str(entry).strip()
if not entry:
continue
# Expand ~ and environment variables
expanded = os.path.expanduser(os.path.expandvars(entry))
p = Path(expanded).resolve()
if p == local_skills:
continue
if p in seen:
continue
if p.is_dir():
seen.add(p)
result.append(p)
else:
logger.debug("External skills dir does not exist, skipping: %s", p)
return result
def get_all_skills_dirs() -> List[Path]:
"""Return all skill directories: local ``~/.hermes/skills/`` first, then external.
The local dir is always first (and always included even if it doesn't exist
yet — callers handle that). External dirs follow in config order.
"""
dirs = [get_hermes_home() / "skills"]
dirs.extend(get_external_skills_dirs())
return dirs
# ── Condition extraction ──────────────────────────────────────────────────
def extract_skill_conditions(frontmatter: Dict[str, Any]) -> Dict[str, List]:
"""Extract conditional activation fields from parsed frontmatter."""
hermes = (frontmatter.get("metadata") or {}).get("hermes") or {}
return {
"fallback_for_toolsets": hermes.get("fallback_for_toolsets", []),
"requires_toolsets": hermes.get("requires_toolsets", []),
"fallback_for_tools": hermes.get("fallback_for_tools", []),
"requires_tools": hermes.get("requires_tools", []),
}
# ── Description extraction ────────────────────────────────────────────────
def extract_skill_description(frontmatter: Dict[str, Any]) -> str:
"""Extract a truncated description from parsed frontmatter."""
raw_desc = frontmatter.get("description", "")
if not raw_desc:
return ""
desc = str(raw_desc).strip().strip("'\"")
if len(desc) > 60:
return desc[:57] + "..."
return desc
# ── File iteration ────────────────────────────────────────────────────────
def iter_skill_index_files(skills_dir: Path, filename: str):
"""Walk skills_dir yielding sorted paths matching *filename*.
Excludes ``.git``, ``.github``, ``.hub`` directories.
"""
matches = []
for root, dirs, files in os.walk(skills_dir):
dirs[:] = [d for d in dirs if d not in EXCLUDED_SKILL_DIRS]
if filename in files:
matches.append(Path(root) / filename)
for path in sorted(matches, key=lambda p: str(p.relative_to(skills_dir))):
yield path

View File

@@ -1,196 +0,0 @@
"""Helpers for optional cheap-vs-strong model routing."""
from __future__ import annotations
import os
import re
from typing import Any, Dict, Optional
_COMPLEX_KEYWORDS = {
"debug",
"debugging",
"implement",
"implementation",
"refactor",
"patch",
"traceback",
"stacktrace",
"exception",
"error",
"analyze",
"analysis",
"investigate",
"architecture",
"design",
"compare",
"benchmark",
"optimize",
"optimise",
"review",
"terminal",
"shell",
"tool",
"tools",
"pytest",
"test",
"tests",
"plan",
"planning",
"delegate",
"subagent",
"cron",
"docker",
"kubernetes",
}
_URL_RE = re.compile(r"https?://|www\.", re.IGNORECASE)
def _coerce_bool(value: Any, default: bool = False) -> bool:
if value is None:
return default
if isinstance(value, bool):
return value
if isinstance(value, str):
return value.strip().lower() in {"1", "true", "yes", "on"}
return bool(value)
def _coerce_int(value: Any, default: int) -> int:
try:
return int(value)
except (TypeError, ValueError):
return default
def choose_cheap_model_route(user_message: str, routing_config: Optional[Dict[str, Any]]) -> Optional[Dict[str, Any]]:
"""Return the configured cheap-model route when a message looks simple.
Conservative by design: if the message has signs of code/tool/debugging/
long-form work, keep the primary model.
"""
cfg = routing_config or {}
if not _coerce_bool(cfg.get("enabled"), False):
return None
cheap_model = cfg.get("cheap_model") or {}
if not isinstance(cheap_model, dict):
return None
provider = str(cheap_model.get("provider") or "").strip().lower()
model = str(cheap_model.get("model") or "").strip()
if not provider or not model:
return None
text = (user_message or "").strip()
if not text:
return None
max_chars = _coerce_int(cfg.get("max_simple_chars"), 160)
max_words = _coerce_int(cfg.get("max_simple_words"), 28)
if len(text) > max_chars:
return None
if len(text.split()) > max_words:
return None
if text.count("\n") > 1:
return None
if "```" in text or "`" in text:
return None
if _URL_RE.search(text):
return None
lowered = text.lower()
words = {token.strip(".,:;!?()[]{}\"'`") for token in lowered.split()}
if words & _COMPLEX_KEYWORDS:
return None
route = dict(cheap_model)
route["provider"] = provider
route["model"] = model
route["routing_reason"] = "simple_turn"
return route
def resolve_turn_route(user_message: str, routing_config: Optional[Dict[str, Any]], primary: Dict[str, Any]) -> Dict[str, Any]:
"""Resolve the effective model/runtime for one turn.
Returns a dict with model/runtime/signature/label fields.
"""
route = choose_cheap_model_route(user_message, routing_config)
if not route:
return {
"model": primary.get("model"),
"runtime": {
"api_key": primary.get("api_key"),
"base_url": primary.get("base_url"),
"provider": primary.get("provider"),
"api_mode": primary.get("api_mode"),
"command": primary.get("command"),
"args": list(primary.get("args") or []),
},
"label": None,
"signature": (
primary.get("model"),
primary.get("provider"),
primary.get("base_url"),
primary.get("api_mode"),
primary.get("command"),
tuple(primary.get("args") or ()),
),
}
from hermes_cli.runtime_provider import resolve_runtime_provider
explicit_api_key = None
api_key_env = str(route.get("api_key_env") or "").strip()
if api_key_env:
explicit_api_key = os.getenv(api_key_env) or None
try:
runtime = resolve_runtime_provider(
requested=route.get("provider"),
explicit_api_key=explicit_api_key,
explicit_base_url=route.get("base_url"),
)
except Exception:
return {
"model": primary.get("model"),
"runtime": {
"api_key": primary.get("api_key"),
"base_url": primary.get("base_url"),
"provider": primary.get("provider"),
"api_mode": primary.get("api_mode"),
"command": primary.get("command"),
"args": list(primary.get("args") or []),
},
"label": None,
"signature": (
primary.get("model"),
primary.get("provider"),
primary.get("base_url"),
primary.get("api_mode"),
primary.get("command"),
tuple(primary.get("args") or ()),
),
}
return {
"model": route.get("model"),
"runtime": {
"api_key": runtime.get("api_key"),
"base_url": runtime.get("base_url"),
"provider": runtime.get("provider"),
"api_mode": runtime.get("api_mode"),
"command": runtime.get("command"),
"args": list(runtime.get("args") or []),
},
"label": f"smart route → {route.get('model')} ({runtime.get('provider')})",
"signature": (
route.get("model"),
runtime.get("provider"),
runtime.get("base_url"),
runtime.get("api_mode"),
runtime.get("command"),
tuple(runtime.get("args") or ()),
),
}

View File

@@ -1,125 +0,0 @@
"""Auto-generate short session titles from the first user/assistant exchange.
Runs asynchronously after the first response is delivered so it never
adds latency to the user-facing reply.
"""
import logging
import threading
from typing import Optional
from agent.auxiliary_client import call_llm
logger = logging.getLogger(__name__)
_TITLE_PROMPT = (
"Generate a short, descriptive title (3-7 words) for a conversation that starts with the "
"following exchange. The title should capture the main topic or intent. "
"Return ONLY the title text, nothing else. No quotes, no punctuation at the end, no prefixes."
)
def generate_title(user_message: str, assistant_response: str, timeout: float = 30.0) -> Optional[str]:
"""Generate a session title from the first exchange.
Uses the auxiliary LLM client (cheapest/fastest available model).
Returns the title string or None on failure.
"""
# Truncate long messages to keep the request small
user_snippet = user_message[:500] if user_message else ""
assistant_snippet = assistant_response[:500] if assistant_response else ""
messages = [
{"role": "system", "content": _TITLE_PROMPT},
{"role": "user", "content": f"User: {user_snippet}\n\nAssistant: {assistant_snippet}"},
]
try:
response = call_llm(
task="compression", # reuse compression task config (cheap/fast model)
messages=messages,
max_tokens=30,
temperature=0.3,
timeout=timeout,
)
title = (response.choices[0].message.content or "").strip()
# Clean up: remove quotes, trailing punctuation, prefixes like "Title: "
title = title.strip('"\'')
if title.lower().startswith("title:"):
title = title[6:].strip()
# Enforce reasonable length
if len(title) > 80:
title = title[:77] + "..."
return title if title else None
except Exception as e:
logger.debug("Title generation failed: %s", e)
return None
def auto_title_session(
session_db,
session_id: str,
user_message: str,
assistant_response: str,
) -> None:
"""Generate and set a session title if one doesn't already exist.
Called in a background thread after the first exchange completes.
Silently skips if:
- session_db is None
- session already has a title (user-set or previously auto-generated)
- title generation fails
"""
if not session_db or not session_id:
return
# Check if title already exists (user may have set one via /title before first response)
try:
existing = session_db.get_session_title(session_id)
if existing:
return
except Exception:
return
title = generate_title(user_message, assistant_response)
if not title:
return
try:
session_db.set_session_title(session_id, title)
logger.debug("Auto-generated session title: %s", title)
except Exception as e:
logger.debug("Failed to set auto-generated title: %s", e)
def maybe_auto_title(
session_db,
session_id: str,
user_message: str,
assistant_response: str,
conversation_history: list,
) -> None:
"""Fire-and-forget title generation after the first exchange.
Only generates a title when:
- This appears to be the first user→assistant exchange
- No title is already set
"""
if not session_db or not session_id or not user_message or not assistant_response:
return
# Count user messages in history to detect first exchange.
# conversation_history includes the exchange that just happened,
# so for a first exchange we expect exactly 1 user message
# (or 2 counting system). Be generous: generate on first 2 exchanges.
user_msg_count = sum(1 for m in (conversation_history or []) if m.get("role") == "user")
if user_msg_count > 2:
return
thread = threading.Thread(
target=auto_title_session,
args=(session_db, session_id, user_message, assistant_response),
daemon=True,
name="auto-title",
)
thread.start()

View File

@@ -1,656 +0,0 @@
from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime, timezone
from decimal import Decimal
from typing import Any, Dict, Literal, Optional
from agent.model_metadata import fetch_endpoint_model_metadata, fetch_model_metadata
DEFAULT_PRICING = {"input": 0.0, "output": 0.0}
_ZERO = Decimal("0")
_ONE_MILLION = Decimal("1000000")
CostStatus = Literal["actual", "estimated", "included", "unknown"]
CostSource = Literal[
"provider_cost_api",
"provider_generation_api",
"provider_models_api",
"official_docs_snapshot",
"user_override",
"custom_contract",
"none",
]
@dataclass(frozen=True)
class CanonicalUsage:
input_tokens: int = 0
output_tokens: int = 0
cache_read_tokens: int = 0
cache_write_tokens: int = 0
reasoning_tokens: int = 0
request_count: int = 1
raw_usage: Optional[dict[str, Any]] = None
@property
def prompt_tokens(self) -> int:
return self.input_tokens + self.cache_read_tokens + self.cache_write_tokens
@property
def total_tokens(self) -> int:
return self.prompt_tokens + self.output_tokens
@dataclass(frozen=True)
class BillingRoute:
provider: str
model: str
base_url: str = ""
billing_mode: str = "unknown"
@dataclass(frozen=True)
class PricingEntry:
input_cost_per_million: Optional[Decimal] = None
output_cost_per_million: Optional[Decimal] = None
cache_read_cost_per_million: Optional[Decimal] = None
cache_write_cost_per_million: Optional[Decimal] = None
request_cost: Optional[Decimal] = None
source: CostSource = "none"
source_url: Optional[str] = None
pricing_version: Optional[str] = None
fetched_at: Optional[datetime] = None
@dataclass(frozen=True)
class CostResult:
amount_usd: Optional[Decimal]
status: CostStatus
source: CostSource
label: str
fetched_at: Optional[datetime] = None
pricing_version: Optional[str] = None
notes: tuple[str, ...] = ()
_UTC_NOW = lambda: datetime.now(timezone.utc)
# Official docs snapshot entries. Models whose published pricing and cache
# semantics are stable enough to encode exactly.
_OFFICIAL_DOCS_PRICING: Dict[tuple[str, str], PricingEntry] = {
(
"anthropic",
"claude-opus-4-20250514",
): PricingEntry(
input_cost_per_million=Decimal("15.00"),
output_cost_per_million=Decimal("75.00"),
cache_read_cost_per_million=Decimal("1.50"),
cache_write_cost_per_million=Decimal("18.75"),
source="official_docs_snapshot",
source_url="https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching",
pricing_version="anthropic-prompt-caching-2026-03-16",
),
(
"anthropic",
"claude-sonnet-4-20250514",
): PricingEntry(
input_cost_per_million=Decimal("3.00"),
output_cost_per_million=Decimal("15.00"),
cache_read_cost_per_million=Decimal("0.30"),
cache_write_cost_per_million=Decimal("3.75"),
source="official_docs_snapshot",
source_url="https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching",
pricing_version="anthropic-prompt-caching-2026-03-16",
),
# OpenAI
(
"openai",
"gpt-4o",
): PricingEntry(
input_cost_per_million=Decimal("2.50"),
output_cost_per_million=Decimal("10.00"),
cache_read_cost_per_million=Decimal("1.25"),
source="official_docs_snapshot",
source_url="https://openai.com/api/pricing/",
pricing_version="openai-pricing-2026-03-16",
),
(
"openai",
"gpt-4o-mini",
): PricingEntry(
input_cost_per_million=Decimal("0.15"),
output_cost_per_million=Decimal("0.60"),
cache_read_cost_per_million=Decimal("0.075"),
source="official_docs_snapshot",
source_url="https://openai.com/api/pricing/",
pricing_version="openai-pricing-2026-03-16",
),
(
"openai",
"gpt-4.1",
): PricingEntry(
input_cost_per_million=Decimal("2.00"),
output_cost_per_million=Decimal("8.00"),
cache_read_cost_per_million=Decimal("0.50"),
source="official_docs_snapshot",
source_url="https://openai.com/api/pricing/",
pricing_version="openai-pricing-2026-03-16",
),
(
"openai",
"gpt-4.1-mini",
): PricingEntry(
input_cost_per_million=Decimal("0.40"),
output_cost_per_million=Decimal("1.60"),
cache_read_cost_per_million=Decimal("0.10"),
source="official_docs_snapshot",
source_url="https://openai.com/api/pricing/",
pricing_version="openai-pricing-2026-03-16",
),
(
"openai",
"gpt-4.1-nano",
): PricingEntry(
input_cost_per_million=Decimal("0.10"),
output_cost_per_million=Decimal("0.40"),
cache_read_cost_per_million=Decimal("0.025"),
source="official_docs_snapshot",
source_url="https://openai.com/api/pricing/",
pricing_version="openai-pricing-2026-03-16",
),
(
"openai",
"o3",
): PricingEntry(
input_cost_per_million=Decimal("10.00"),
output_cost_per_million=Decimal("40.00"),
cache_read_cost_per_million=Decimal("2.50"),
source="official_docs_snapshot",
source_url="https://openai.com/api/pricing/",
pricing_version="openai-pricing-2026-03-16",
),
(
"openai",
"o3-mini",
): PricingEntry(
input_cost_per_million=Decimal("1.10"),
output_cost_per_million=Decimal("4.40"),
cache_read_cost_per_million=Decimal("0.55"),
source="official_docs_snapshot",
source_url="https://openai.com/api/pricing/",
pricing_version="openai-pricing-2026-03-16",
),
# Anthropic older models (pre-4.6 generation)
(
"anthropic",
"claude-3-5-sonnet-20241022",
): PricingEntry(
input_cost_per_million=Decimal("3.00"),
output_cost_per_million=Decimal("15.00"),
cache_read_cost_per_million=Decimal("0.30"),
cache_write_cost_per_million=Decimal("3.75"),
source="official_docs_snapshot",
source_url="https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching",
pricing_version="anthropic-pricing-2026-03-16",
),
(
"anthropic",
"claude-3-5-haiku-20241022",
): PricingEntry(
input_cost_per_million=Decimal("0.80"),
output_cost_per_million=Decimal("4.00"),
cache_read_cost_per_million=Decimal("0.08"),
cache_write_cost_per_million=Decimal("1.00"),
source="official_docs_snapshot",
source_url="https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching",
pricing_version="anthropic-pricing-2026-03-16",
),
(
"anthropic",
"claude-3-opus-20240229",
): PricingEntry(
input_cost_per_million=Decimal("15.00"),
output_cost_per_million=Decimal("75.00"),
cache_read_cost_per_million=Decimal("1.50"),
cache_write_cost_per_million=Decimal("18.75"),
source="official_docs_snapshot",
source_url="https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching",
pricing_version="anthropic-pricing-2026-03-16",
),
(
"anthropic",
"claude-3-haiku-20240307",
): PricingEntry(
input_cost_per_million=Decimal("0.25"),
output_cost_per_million=Decimal("1.25"),
cache_read_cost_per_million=Decimal("0.03"),
cache_write_cost_per_million=Decimal("0.30"),
source="official_docs_snapshot",
source_url="https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching",
pricing_version="anthropic-pricing-2026-03-16",
),
# DeepSeek
(
"deepseek",
"deepseek-chat",
): PricingEntry(
input_cost_per_million=Decimal("0.14"),
output_cost_per_million=Decimal("0.28"),
source="official_docs_snapshot",
source_url="https://api-docs.deepseek.com/quick_start/pricing",
pricing_version="deepseek-pricing-2026-03-16",
),
(
"deepseek",
"deepseek-reasoner",
): PricingEntry(
input_cost_per_million=Decimal("0.55"),
output_cost_per_million=Decimal("2.19"),
source="official_docs_snapshot",
source_url="https://api-docs.deepseek.com/quick_start/pricing",
pricing_version="deepseek-pricing-2026-03-16",
),
# Google Gemini
(
"google",
"gemini-2.5-pro",
): PricingEntry(
input_cost_per_million=Decimal("1.25"),
output_cost_per_million=Decimal("10.00"),
source="official_docs_snapshot",
source_url="https://ai.google.dev/pricing",
pricing_version="google-pricing-2026-03-16",
),
(
"google",
"gemini-2.5-flash",
): PricingEntry(
input_cost_per_million=Decimal("0.15"),
output_cost_per_million=Decimal("0.60"),
source="official_docs_snapshot",
source_url="https://ai.google.dev/pricing",
pricing_version="google-pricing-2026-03-16",
),
(
"google",
"gemini-2.0-flash",
): PricingEntry(
input_cost_per_million=Decimal("0.10"),
output_cost_per_million=Decimal("0.40"),
source="official_docs_snapshot",
source_url="https://ai.google.dev/pricing",
pricing_version="google-pricing-2026-03-16",
),
}
def _to_decimal(value: Any) -> Optional[Decimal]:
if value is None:
return None
try:
return Decimal(str(value))
except Exception:
return None
def _to_int(value: Any) -> int:
try:
return int(value or 0)
except Exception:
return 0
def resolve_billing_route(
model_name: str,
provider: Optional[str] = None,
base_url: Optional[str] = None,
) -> BillingRoute:
provider_name = (provider or "").strip().lower()
base = (base_url or "").strip().lower()
model = (model_name or "").strip()
if not provider_name and "/" in model:
inferred_provider, bare_model = model.split("/", 1)
if inferred_provider in {"anthropic", "openai", "google"}:
provider_name = inferred_provider
model = bare_model
if provider_name == "openai-codex":
return BillingRoute(provider="openai-codex", model=model, base_url=base_url or "", billing_mode="subscription_included")
if provider_name == "openrouter" or "openrouter.ai" in base:
return BillingRoute(provider="openrouter", model=model, base_url=base_url or "", billing_mode="official_models_api")
if provider_name == "anthropic":
return BillingRoute(provider="anthropic", model=model.split("/")[-1], base_url=base_url or "", billing_mode="official_docs_snapshot")
if provider_name == "openai":
return BillingRoute(provider="openai", model=model.split("/")[-1], base_url=base_url or "", billing_mode="official_docs_snapshot")
if provider_name in {"custom", "local"} or (base and "localhost" in base):
return BillingRoute(provider=provider_name or "custom", model=model, base_url=base_url or "", billing_mode="unknown")
return BillingRoute(provider=provider_name or "unknown", model=model.split("/")[-1] if model else "", base_url=base_url or "", billing_mode="unknown")
def _lookup_official_docs_pricing(route: BillingRoute) -> Optional[PricingEntry]:
return _OFFICIAL_DOCS_PRICING.get((route.provider, route.model.lower()))
def _openrouter_pricing_entry(route: BillingRoute) -> Optional[PricingEntry]:
return _pricing_entry_from_metadata(
fetch_model_metadata(),
route.model,
source_url="https://openrouter.ai/docs/api/api-reference/models/get-models",
pricing_version="openrouter-models-api",
)
def _pricing_entry_from_metadata(
metadata: Dict[str, Dict[str, Any]],
model_id: str,
*,
source_url: str,
pricing_version: str,
) -> Optional[PricingEntry]:
if model_id not in metadata:
return None
pricing = metadata[model_id].get("pricing") or {}
prompt = _to_decimal(pricing.get("prompt"))
completion = _to_decimal(pricing.get("completion"))
request = _to_decimal(pricing.get("request"))
cache_read = _to_decimal(
pricing.get("cache_read")
or pricing.get("cached_prompt")
or pricing.get("input_cache_read")
)
cache_write = _to_decimal(
pricing.get("cache_write")
or pricing.get("cache_creation")
or pricing.get("input_cache_write")
)
if prompt is None and completion is None and request is None:
return None
def _per_token_to_per_million(value: Optional[Decimal]) -> Optional[Decimal]:
if value is None:
return None
return value * _ONE_MILLION
return PricingEntry(
input_cost_per_million=_per_token_to_per_million(prompt),
output_cost_per_million=_per_token_to_per_million(completion),
cache_read_cost_per_million=_per_token_to_per_million(cache_read),
cache_write_cost_per_million=_per_token_to_per_million(cache_write),
request_cost=request,
source="provider_models_api",
source_url=source_url,
pricing_version=pricing_version,
fetched_at=_UTC_NOW(),
)
def get_pricing_entry(
model_name: str,
provider: Optional[str] = None,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> Optional[PricingEntry]:
route = resolve_billing_route(model_name, provider=provider, base_url=base_url)
if route.billing_mode == "subscription_included":
return PricingEntry(
input_cost_per_million=_ZERO,
output_cost_per_million=_ZERO,
cache_read_cost_per_million=_ZERO,
cache_write_cost_per_million=_ZERO,
source="none",
pricing_version="included-route",
)
if route.provider == "openrouter":
return _openrouter_pricing_entry(route)
if route.base_url:
entry = _pricing_entry_from_metadata(
fetch_endpoint_model_metadata(route.base_url, api_key=api_key or ""),
route.model,
source_url=f"{route.base_url.rstrip('/')}/models",
pricing_version="openai-compatible-models-api",
)
if entry:
return entry
return _lookup_official_docs_pricing(route)
def normalize_usage(
response_usage: Any,
*,
provider: Optional[str] = None,
api_mode: Optional[str] = None,
) -> CanonicalUsage:
"""Normalize raw API response usage into canonical token buckets.
Handles three API shapes:
- Anthropic: input_tokens/output_tokens/cache_read_input_tokens/cache_creation_input_tokens
- Codex Responses: input_tokens includes cache tokens; input_tokens_details.cached_tokens separates them
- OpenAI Chat Completions: prompt_tokens includes cache tokens; prompt_tokens_details.cached_tokens separates them
In both Codex and OpenAI modes, input_tokens is derived by subtracting cache
tokens from the total — the API contract is that input/prompt totals include
cached tokens and the details object breaks them out.
"""
if not response_usage:
return CanonicalUsage()
provider_name = (provider or "").strip().lower()
mode = (api_mode or "").strip().lower()
if mode == "anthropic_messages" or provider_name == "anthropic":
input_tokens = _to_int(getattr(response_usage, "input_tokens", 0))
output_tokens = _to_int(getattr(response_usage, "output_tokens", 0))
cache_read_tokens = _to_int(getattr(response_usage, "cache_read_input_tokens", 0))
cache_write_tokens = _to_int(getattr(response_usage, "cache_creation_input_tokens", 0))
elif mode == "codex_responses":
input_total = _to_int(getattr(response_usage, "input_tokens", 0))
output_tokens = _to_int(getattr(response_usage, "output_tokens", 0))
details = getattr(response_usage, "input_tokens_details", None)
cache_read_tokens = _to_int(getattr(details, "cached_tokens", 0) if details else 0)
cache_write_tokens = _to_int(
getattr(details, "cache_creation_tokens", 0) if details else 0
)
input_tokens = max(0, input_total - cache_read_tokens - cache_write_tokens)
else:
prompt_total = _to_int(getattr(response_usage, "prompt_tokens", 0))
output_tokens = _to_int(getattr(response_usage, "completion_tokens", 0))
details = getattr(response_usage, "prompt_tokens_details", None)
cache_read_tokens = _to_int(getattr(details, "cached_tokens", 0) if details else 0)
cache_write_tokens = _to_int(
getattr(details, "cache_write_tokens", 0) if details else 0
)
input_tokens = max(0, prompt_total - cache_read_tokens - cache_write_tokens)
reasoning_tokens = 0
output_details = getattr(response_usage, "output_tokens_details", None)
if output_details:
reasoning_tokens = _to_int(getattr(output_details, "reasoning_tokens", 0))
return CanonicalUsage(
input_tokens=input_tokens,
output_tokens=output_tokens,
cache_read_tokens=cache_read_tokens,
cache_write_tokens=cache_write_tokens,
reasoning_tokens=reasoning_tokens,
)
def estimate_usage_cost(
model_name: str,
usage: CanonicalUsage,
*,
provider: Optional[str] = None,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> CostResult:
route = resolve_billing_route(model_name, provider=provider, base_url=base_url)
if route.billing_mode == "subscription_included":
return CostResult(
amount_usd=_ZERO,
status="included",
source="none",
label="included",
pricing_version="included-route",
)
entry = get_pricing_entry(model_name, provider=provider, base_url=base_url, api_key=api_key)
if not entry:
return CostResult(amount_usd=None, status="unknown", source="none", label="n/a")
notes: list[str] = []
amount = _ZERO
if usage.input_tokens and entry.input_cost_per_million is None:
return CostResult(amount_usd=None, status="unknown", source=entry.source, label="n/a")
if usage.output_tokens and entry.output_cost_per_million is None:
return CostResult(amount_usd=None, status="unknown", source=entry.source, label="n/a")
if usage.cache_read_tokens:
if entry.cache_read_cost_per_million is None:
return CostResult(
amount_usd=None,
status="unknown",
source=entry.source,
label="n/a",
notes=("cache-read pricing unavailable for route",),
)
if usage.cache_write_tokens:
if entry.cache_write_cost_per_million is None:
return CostResult(
amount_usd=None,
status="unknown",
source=entry.source,
label="n/a",
notes=("cache-write pricing unavailable for route",),
)
if entry.input_cost_per_million is not None:
amount += Decimal(usage.input_tokens) * entry.input_cost_per_million / _ONE_MILLION
if entry.output_cost_per_million is not None:
amount += Decimal(usage.output_tokens) * entry.output_cost_per_million / _ONE_MILLION
if entry.cache_read_cost_per_million is not None:
amount += Decimal(usage.cache_read_tokens) * entry.cache_read_cost_per_million / _ONE_MILLION
if entry.cache_write_cost_per_million is not None:
amount += Decimal(usage.cache_write_tokens) * entry.cache_write_cost_per_million / _ONE_MILLION
if entry.request_cost is not None and usage.request_count:
amount += Decimal(usage.request_count) * entry.request_cost
status: CostStatus = "estimated"
label = f"~${amount:.2f}"
if entry.source == "none" and amount == _ZERO:
status = "included"
label = "included"
if route.provider == "openrouter":
notes.append("OpenRouter cost is estimated from the models API until reconciled.")
return CostResult(
amount_usd=amount,
status=status,
source=entry.source,
label=label,
fetched_at=entry.fetched_at,
pricing_version=entry.pricing_version,
notes=tuple(notes),
)
def has_known_pricing(
model_name: str,
provider: Optional[str] = None,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> bool:
"""Check whether we have pricing data for this model+route.
Uses direct lookup instead of routing through the full estimation
pipeline — avoids creating dummy usage objects just to check status.
"""
route = resolve_billing_route(model_name, provider=provider, base_url=base_url)
if route.billing_mode == "subscription_included":
return True
entry = get_pricing_entry(model_name, provider=provider, base_url=base_url, api_key=api_key)
return entry is not None
def get_pricing(
model_name: str,
provider: Optional[str] = None,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> Dict[str, float]:
"""Backward-compatible thin wrapper for legacy callers.
Returns only non-cache input/output fields when a pricing entry exists.
Unknown routes return zeroes.
"""
entry = get_pricing_entry(model_name, provider=provider, base_url=base_url, api_key=api_key)
if not entry:
return {"input": 0.0, "output": 0.0}
return {
"input": float(entry.input_cost_per_million or _ZERO),
"output": float(entry.output_cost_per_million or _ZERO),
}
def estimate_cost_usd(
model: str,
input_tokens: int,
output_tokens: int,
*,
provider: Optional[str] = None,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> float:
"""Backward-compatible helper for legacy callers.
This uses non-cached input/output only. New code should call
`estimate_usage_cost()` with canonical usage buckets.
"""
result = estimate_usage_cost(
model,
CanonicalUsage(input_tokens=input_tokens, output_tokens=output_tokens),
provider=provider,
base_url=base_url,
api_key=api_key,
)
return float(result.amount_usd or _ZERO)
def format_duration_compact(seconds: float) -> str:
if seconds < 60:
return f"{seconds:.0f}s"
minutes = seconds / 60
if minutes < 60:
return f"{minutes:.0f}m"
hours = minutes / 60
if hours < 24:
remaining_min = int(minutes % 60)
return f"{int(hours)}h {remaining_min}m" if remaining_min else f"{int(hours)}h"
days = hours / 24
return f"{days:.1f}d"
def format_token_count_compact(value: int) -> str:
abs_value = abs(int(value))
if abs_value < 1_000:
return str(int(value))
sign = "-" if value < 0 else ""
units = ((1_000_000_000, "B"), (1_000_000, "M"), (1_000, "K"))
for threshold, suffix in units:
if abs_value >= threshold:
scaled = abs_value / threshold
if scaled < 10:
text = f"{scaled:.2f}"
elif scaled < 100:
text = f"{scaled:.1f}"
else:
text = f"{scaled:.0f}"
if "." in text:
text = text.rstrip("0").rstrip(".")
return f"{sign}{text}{suffix}"
return f"{value:,}"

View File

@@ -128,7 +128,6 @@ def _extract_tool_stats(messages: List[Dict[str, Any]]) -> Dict[str, Dict[str, i
# Track tool calls from assistant messages
if msg["role"] == "assistant" and "tool_calls" in msg and msg["tool_calls"]:
for tool_call in msg["tool_calls"]:
if not tool_call or not isinstance(tool_call, dict): continue
tool_name = tool_call["function"]["name"]
tool_call_id = tool_call["id"]

View File

@@ -7,33 +7,17 @@
# =============================================================================
model:
# Default model to use (can be overridden with --model flag)
# Both "default" and "model" work as the key name here.
default: "anthropic/claude-opus-4.6"
# Inference provider selection:
# "auto" - Auto-detect from credentials (default)
# "openrouter" - OpenRouter (requires: OPENROUTER_API_KEY or OPENAI_API_KEY)
# "nous" - Nous Portal OAuth (requires: hermes login)
# "nous-api" - Nous Portal API key (requires: NOUS_API_KEY)
# "anthropic" - Direct Anthropic API (requires: ANTHROPIC_API_KEY)
# "openai-codex" - OpenAI Codex (requires: hermes login --provider openai-codex)
# "copilot" - GitHub Copilot / GitHub Models (requires: GITHUB_TOKEN)
# "zai" - z.ai / ZhipuAI GLM (requires: GLM_API_KEY)
# "kimi-coding" - Kimi / Moonshot AI (requires: KIMI_API_KEY)
# "minimax" - MiniMax global (requires: MINIMAX_API_KEY)
# "minimax-cn" - MiniMax China (requires: MINIMAX_CN_API_KEY)
# "huggingface" - Hugging Face Inference (requires: HF_TOKEN)
# "kilocode" - KiloCode gateway (requires: KILOCODE_API_KEY)
# "ai-gateway" - Vercel AI Gateway (requires: AI_GATEWAY_API_KEY)
#
# Local servers (LM Studio, Ollama, vLLM, llama.cpp):
# "custom" - Any OpenAI-compatible endpoint. Set base_url below.
# Aliases: "lmstudio", "ollama", "vllm", "llamacpp" all map to "custom".
# Example for LM Studio:
# provider: "lmstudio"
# base_url: "http://localhost:1234/v1"
# No API key needed — local servers typically ignore auth.
#
# "auto" - Use Nous Portal if logged in, otherwise OpenRouter/env vars (default)
# "nous-api" - Use Nous Portal via API key (requires: NOUS_API_KEY)
# "openrouter" - Always use OpenRouter API key from OPENROUTER_API_KEY
# "nous" - Always use Nous Portal (requires: hermes login)
# "zai" - Use z.ai / ZhipuAI GLM models (requires: GLM_API_KEY)
# "kimi-coding"- Use Kimi / Moonshot AI models (requires: KIMI_API_KEY)
# "minimax" - Use MiniMax global endpoint (requires: MINIMAX_API_KEY)
# "minimax-cn" - Use MiniMax China endpoint (requires: MINIMAX_CN_API_KEY)
# Can also be overridden with --provider flag or HERMES_INFERENCE_PROVIDER env var.
provider: "auto"
@@ -67,20 +51,6 @@ model:
# # Data policy: "allow" (default) or "deny" to exclude providers that may store data
# # data_collection: "deny"
# =============================================================================
# Smart Model Routing (optional)
# =============================================================================
# Use a cheaper model for short/simple turns while keeping your main model for
# more complex requests. Disabled by default.
#
# smart_model_routing:
# enabled: true
# max_simple_chars: 160
# max_simple_words: 28
# cheap_model:
# provider: openrouter
# model: google/gemini-2.5-flash
# =============================================================================
# Git Worktree Isolation
# =============================================================================
@@ -106,9 +76,8 @@ model:
# - Messaging (Telegram/Discord): Uses MESSAGING_CWD from .env (default: home)
terminal:
backend: "local"
cwd: "." # For local backend: "." = current directory. Ignored for remote backends unless a backend documents otherwise.
cwd: "." # For local backend: "." = current directory. Ignored for remote backends.
timeout: 180
docker_mount_cwd_to_workspace: false # SECURITY: off by default. Opt in to mount the launch cwd into Docker /workspace.
lifetime_seconds: 300
# sudo_password: "" # Enable sudo commands (pipes via sudo -S) - SECURITY WARNING: plaintext!
@@ -138,7 +107,6 @@ terminal:
# timeout: 180
# lifetime_seconds: 300
# docker_image: "nikolaik/python-nodejs:python3.11-nodejs20"
# docker_mount_cwd_to_workspace: true # Explicit opt-in: mount your launch cwd into /workspace
# # Optional: explicitly forward selected env vars into Docker.
# # These values come from your current shell first, then ~/.hermes/.env.
# # Warning: anything forwarded here is visible to commands run in the container.
@@ -248,34 +216,19 @@ browser:
# 1. Tracks actual token usage from API responses (not estimates)
# 2. When prompt_tokens >= threshold% of model's context_length, triggers compression
# 3. Protects first 3 turns (system prompt, initial request, first response)
# 4. Protects last N turns (default 20 messages = ~10 full turns of recent context)
# 4. Protects last 4 turns (recent context is most relevant)
# 5. Summarizes middle turns using a fast/cheap model
# 6. Inserts summary as a user message, continues conversation seamlessly
#
# Post-compression tail budget is target_ratio × threshold × context_length:
# 200K context, threshold 0.50, ratio 0.20 → 20K tokens of recent tail preserved
# 1M context, threshold 0.50, ratio 0.20 → 100K tokens of recent tail preserved
#
compression:
# Enable automatic context compression (default: true)
# Set to false if you prefer to manage context manually or want errors on overflow
enabled: true
# Trigger compression at this % of model's context limit (default: 0.50 = 50%)
# Trigger compression at this % of model's context limit (default: 0.85 = 85%)
# Lower values = more aggressive compression, higher values = compress later
threshold: 0.50
threshold: 0.85
# Fraction of the threshold to preserve as recent tail (default: 0.20 = 20%)
# e.g. 20% of 50% threshold = 10% of total context kept as recent messages.
# Summary output is separately capped at 12K tokens (Gemini output limit).
# Range: 0.10 - 0.80
target_ratio: 0.20
# Number of most-recent messages to always preserve (default: 20 ≈ 10 full turns)
# Higher values keep more recent conversation intact at the cost of more aggressive
# compression of older turns.
protect_last_n: 20
# Model to use for generating summaries (fast/cheap recommended)
# This model compresses the middle turns into a concise summary.
# IMPORTANT: it receives the full middle section of the conversation, so it
@@ -324,9 +277,6 @@ compression:
# vision:
# provider: "auto"
# model: "" # e.g. "google/gemini-2.5-flash", "openai/gpt-4o"
# timeout: 30 # LLM API call timeout (seconds)
# download_timeout: 30 # Image HTTP download timeout (seconds)
# # Increase for slow connections or self-hosted image servers
#
# # Web page scraping / summarization + browser page text extraction
# web_extract:
@@ -389,25 +339,6 @@ session_reset:
idle_minutes: 1440 # Inactivity timeout in minutes (default: 1440 = 24 hours)
at_hour: 4 # Daily reset hour, 0-23 local time (default: 4 AM)
# When true, group/channel chats use one session per participant when the platform
# provides a user ID. This is the secure default and prevents users in the same
# room from sharing context, interrupts, and token costs. Set false only if you
# explicitly want one shared "room brain" per group/channel.
group_sessions_per_user: true
# ─────────────────────────────────────────────────────────────────────────────
# Gateway Streaming
# ─────────────────────────────────────────────────────────────────────────────
# Stream tokens to messaging platforms in real-time. The bot sends a message
# on first token, then progressively edits it as more tokens arrive.
# Disabled by default — enable to try the streaming UX on Telegram/Discord/Slack.
streaming:
enabled: false
# transport: edit # "edit" = progressive editMessageText
# edit_interval: 0.3 # seconds between message edits
# buffer_threshold: 40 # chars before forcing an edit flush
# cursor: " ▉" # cursor shown during streaming
# =============================================================================
# Skills Configuration
# =============================================================================
@@ -420,15 +351,6 @@ skills:
# Set to 0 to disable.
creation_nudge_interval: 15
# External skill directories — share skills across tools/agents without
# copying them into ~/.hermes/skills/. Each path is expanded (~ and ${VAR})
# and resolved to an absolute path. External dirs are read-only: skill
# creation always writes to ~/.hermes/skills/. Local skills take precedence
# when names collide.
# external_dirs:
# - ~/.agents/skills
# - /home/shared/team-skills
# =============================================================================
# Agent Behavior
# =============================================================================
@@ -467,7 +389,7 @@ agent:
# Toolsets
# =============================================================================
# Control which tools the agent has access to.
# Use `hermes tools` to interactively enable/disable tools per platform.
# Use "all" to enable everything, or specify individual toolsets.
# =============================================================================
# Platform Toolsets (per-platform tool configuration)
@@ -576,11 +498,53 @@ platform_toolsets:
# debugging - terminal + web + file (for troubleshooting)
# safe - web + vision + moa (no terminal access)
# NOTE: The top-level "toolsets" key is deprecated and ignored.
# Tool configuration is managed per-platform via platform_toolsets above.
# Use `hermes tools` to configure interactively, or edit platform_toolsets directly.
#
# CLI override: hermes chat --toolsets terminal,web,file
# -----------------------------------------------------------------------------
# OPTION 1: Enable all tools (default)
# -----------------------------------------------------------------------------
toolsets:
- all
# -----------------------------------------------------------------------------
# OPTION 2: Minimal - just web search and terminal
# Great for: Simple coding tasks, quick lookups
# -----------------------------------------------------------------------------
# toolsets:
# - web
# - terminal
# -----------------------------------------------------------------------------
# OPTION 3: Research mode - no execution capabilities
# Great for: Safe information gathering, research tasks
# -----------------------------------------------------------------------------
# toolsets:
# - web
# - vision
# - skills
# -----------------------------------------------------------------------------
# OPTION 4: Full automation - browser + terminal
# Great for: Web scraping, automation tasks, testing
# -----------------------------------------------------------------------------
# toolsets:
# - terminal
# - browser
# - web
# -----------------------------------------------------------------------------
# OPTION 5: Creative mode - vision + image generation
# Great for: Design work, image analysis, creative tasks
# -----------------------------------------------------------------------------
# toolsets:
# - vision
# - image_gen
# - web
# -----------------------------------------------------------------------------
# OPTION 6: Safe mode - no terminal or browser
# Great for: Restricted environments, untrusted queries
# -----------------------------------------------------------------------------
# toolsets:
# - safe
# =============================================================================
# MCP (Model Context Protocol) Servers
@@ -716,12 +680,6 @@ display:
# Toggle at runtime with /verbose in the CLI
tool_progress: all
# What Enter does when Hermes is already busy in the CLI.
# interrupt: Interrupt the current run and redirect Hermes (default)
# queue: Queue your message for the next turn
# Ctrl+C always interrupts regardless of this setting.
busy_input_mode: interrupt
# Background process notifications (gateway/messaging only).
# Controls how chatty the process watcher is when you use
# terminal(background=true, check_interval=...) from Telegram/Discord/etc.
@@ -742,12 +700,6 @@ display:
# Toggle at runtime with /reasoning show or /reasoning hide.
show_reasoning: false
# Stream tokens to the terminal as they arrive instead of waiting for the
# full response. The response box opens on first token and text appears
# line-by-line. Tool calls are still captured silently.
# Stream tokens to the terminal in real-time. Disable to wait for full responses.
streaming: true
# ───────────────────────────────────────────────────────────────────────────
# Skin / Theme
# ───────────────────────────────────────────────────────────────────────────
@@ -788,14 +740,3 @@ display:
# tool_prefix: "╎" # Tool output line prefix (default: ┊)
#
skin: default
# =============================================================================
# Privacy
# =============================================================================
# privacy:
# # Redact PII from the LLM context prompt.
# # When true, phone numbers are stripped and user/chat IDs are replaced
# # with deterministic hashes before being sent to the model.
# # Names and usernames are NOT affected (user-chosen, publicly visible).
# # Routing/delivery still uses the original values internally.
# redact_pii: false

2410
cli.py Normal file → Executable file

File diff suppressed because it is too large Load Diff

View File

@@ -5,20 +5,15 @@ Jobs are stored in ~/.hermes/cron/jobs.json
Output is saved to ~/.hermes/cron/output/{job_id}/{timestamp}.md
"""
import copy
import json
import logging
import tempfile
import os
import re
import uuid
from datetime import datetime, timedelta
from pathlib import Path
from hermes_constants import get_hermes_home
from typing import Optional, Dict, List, Any
logger = logging.getLogger(__name__)
from hermes_time import now as _hermes_now
try:
@@ -31,11 +26,10 @@ except ImportError:
# Configuration
# =============================================================================
HERMES_DIR = get_hermes_home()
HERMES_DIR = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
CRON_DIR = HERMES_DIR / "cron"
JOBS_FILE = CRON_DIR / "jobs.json"
OUTPUT_DIR = CRON_DIR / "output"
ONESHOT_GRACE_SECONDS = 120
def _normalize_skill_list(skill: Optional[str] = None, skills: Optional[Any] = None) -> List[str]:
@@ -170,10 +164,6 @@ def parse_schedule(schedule: str) -> Dict[str, Any]:
try:
# Parse and validate
dt = datetime.fromisoformat(schedule.replace('Z', '+00:00'))
# Make naive timestamps timezone-aware at parse time so the stored
# value doesn't depend on the system timezone matching at check time.
if dt.tzinfo is None:
dt = dt.astimezone() # Interpret as local timezone
return {
"kind": "once",
"run_at": dt.isoformat(),
@@ -222,65 +212,6 @@ def _ensure_aware(dt: datetime) -> datetime:
return dt.astimezone(target_tz)
def _recoverable_oneshot_run_at(
schedule: Dict[str, Any],
now: datetime,
*,
last_run_at: Optional[str] = None,
) -> Optional[str]:
"""Return a one-shot run time if it is still eligible to fire.
One-shot jobs get a small grace window so jobs created a few seconds after
their requested minute still run on the next tick. Once a one-shot has
already run, it is never eligible again.
"""
if schedule.get("kind") != "once":
return None
if last_run_at:
return None
run_at = schedule.get("run_at")
if not run_at:
return None
run_at_dt = _ensure_aware(datetime.fromisoformat(run_at))
if run_at_dt >= now - timedelta(seconds=ONESHOT_GRACE_SECONDS):
return run_at
return None
def _compute_grace_seconds(schedule: dict) -> int:
"""Compute how late a job can be and still catch up instead of fast-forwarding.
Uses half the schedule period, clamped between 120 seconds and 2 hours.
This ensures daily jobs can catch up if missed by up to 2 hours,
while frequent jobs (every 5-10 min) still fast-forward quickly.
"""
MIN_GRACE = 120
MAX_GRACE = 7200 # 2 hours
kind = schedule.get("kind")
if kind == "interval":
period_seconds = schedule.get("minutes", 1) * 60
grace = period_seconds // 2
return max(MIN_GRACE, min(grace, MAX_GRACE))
if kind == "cron" and HAS_CRONITER:
try:
now = _hermes_now()
cron = croniter(schedule["expr"], now)
first = cron.get_next(datetime)
second = cron.get_next(datetime)
period_seconds = int((second - first).total_seconds())
grace = period_seconds // 2
return max(MIN_GRACE, min(grace, MAX_GRACE))
except Exception:
pass
return MIN_GRACE
def compute_next_run(schedule: Dict[str, Any], last_run_at: Optional[str] = None) -> Optional[str]:
"""
Compute the next run time for a schedule.
@@ -290,7 +221,9 @@ def compute_next_run(schedule: Dict[str, Any], last_run_at: Optional[str] = None
now = _hermes_now()
if schedule["kind"] == "once":
return _recoverable_oneshot_run_at(schedule, now, last_run_at=last_run_at)
run_at = _ensure_aware(datetime.fromisoformat(schedule["run_at"]))
# If in the future, return it; if in the past, no more runs
return schedule["run_at"] if run_at > now else None
elif schedule["kind"] == "interval":
minutes = schedule["minutes"]
@@ -327,20 +260,7 @@ def load_jobs() -> List[Dict[str, Any]]:
with open(JOBS_FILE, 'r', encoding='utf-8') as f:
data = json.load(f)
return data.get("jobs", [])
except json.JSONDecodeError:
# Retry with strict=False to handle bare control chars in string values
try:
with open(JOBS_FILE, 'r', encoding='utf-8') as f:
data = json.loads(f.read(), strict=False)
jobs = data.get("jobs", [])
if jobs:
# Auto-repair: rewrite with proper escaping
save_jobs(jobs)
logger.warning("Auto-repaired jobs.json (had invalid control characters)")
return jobs
except Exception:
return []
except IOError:
except (json.JSONDecodeError, IOError):
return []
@@ -397,10 +317,6 @@ def create_job(
"""
parsed_schedule = parse_schedule(schedule)
# Normalize repeat: treat 0 or negative values as None (infinite)
if repeat is not None and repeat <= 0:
repeat = None
# Auto-set repeat=1 for one-shot schedules if not specified
if parsed_schedule["kind"] == "once" and repeat is None:
repeat = 1
@@ -589,7 +505,7 @@ def mark_job_run(job_id: str, success: bool, error: Optional[str] = None):
# Check if we've hit the repeat limit
times = job["repeat"].get("times")
completed = job["repeat"]["completed"]
if times is not None and times > 0 and completed >= times:
if times is not None and completed >= times:
# Remove the job (limit reached)
jobs.pop(i)
save_jobs(jobs)
@@ -611,47 +527,11 @@ def mark_job_run(job_id: str, success: bool, error: Optional[str] = None):
save_jobs(jobs)
def advance_next_run(job_id: str) -> bool:
"""Preemptively advance next_run_at for a recurring job before execution.
Call this BEFORE run_job() so that if the process crashes mid-execution,
the job won't re-fire on the next gateway restart. This converts the
scheduler from at-least-once to at-most-once for recurring jobs — missing
one run is far better than firing dozens of times in a crash loop.
One-shot jobs are left unchanged so they can still retry on restart.
Returns True if next_run_at was advanced, False otherwise.
"""
jobs = load_jobs()
for job in jobs:
if job["id"] == job_id:
kind = job.get("schedule", {}).get("kind")
if kind not in ("cron", "interval"):
return False
now = _hermes_now().isoformat()
new_next = compute_next_run(job["schedule"], now)
if new_next and new_next != job.get("next_run_at"):
job["next_run_at"] = new_next
save_jobs(jobs)
return True
return False
return False
def get_due_jobs() -> List[Dict[str, Any]]:
"""Get all jobs that are due to run now.
For recurring jobs (cron/interval), if the scheduled time is stale
(more than one period in the past, e.g. because the gateway was down),
the job is fast-forwarded to the next future run instead of firing
immediately. This prevents a burst of missed jobs on gateway restart.
"""
"""Get all jobs that are due to run now."""
now = _hermes_now()
raw_jobs = load_jobs()
jobs = [_apply_skill_fields(j) for j in copy.deepcopy(raw_jobs)]
jobs = [_apply_skill_fields(j) for j in load_jobs()]
due = []
needs_save = False
for job in jobs:
if not job.get("enabled", True):
@@ -659,62 +539,12 @@ def get_due_jobs() -> List[Dict[str, Any]]:
next_run = job.get("next_run_at")
if not next_run:
recovered_next = _recoverable_oneshot_run_at(
job.get("schedule", {}),
now,
last_run_at=job.get("last_run_at"),
)
if not recovered_next:
continue
job["next_run_at"] = recovered_next
next_run = recovered_next
logger.info(
"Job '%s' had no next_run_at; recovering one-shot run at %s",
job.get("name", job["id"]),
recovered_next,
)
for rj in raw_jobs:
if rj["id"] == job["id"]:
rj["next_run_at"] = recovered_next
needs_save = True
break
continue
next_run_dt = _ensure_aware(datetime.fromisoformat(next_run))
if next_run_dt <= now:
schedule = job.get("schedule", {})
kind = schedule.get("kind")
# For recurring jobs, check if the scheduled time is stale
# (gateway was down and missed the window). Fast-forward to
# the next future occurrence instead of firing a stale run.
grace = _compute_grace_seconds(schedule)
if kind in ("cron", "interval") and (now - next_run_dt).total_seconds() > grace:
# Job is past its catch-up grace window — this is a stale missed run.
# Grace scales with schedule period: daily=2h, hourly=30m, 10min=5m.
new_next = compute_next_run(schedule, now.isoformat())
if new_next:
logger.info(
"Job '%s' missed its scheduled time (%s, grace=%ds). "
"Fast-forwarding to next run: %s",
job.get("name", job["id"]),
next_run,
grace,
new_next,
)
# Update the job in storage
for rj in raw_jobs:
if rj["id"] == job["id"]:
rj["next_run_at"] = new_next
needs_save = True
break
continue # Skip this run
due.append(job)
if needs_save:
save_jobs(raw_jobs)
return due

View File

@@ -24,9 +24,8 @@ except ImportError:
import msvcrt
except ImportError:
msvcrt = None
from datetime import datetime
from pathlib import Path
from hermes_constants import get_hermes_home
from hermes_cli.config import load_config
from typing import Optional
from hermes_time import now as _hermes_now
@@ -36,15 +35,10 @@ logger = logging.getLogger(__name__)
# Add parent directory to path for imports
sys.path.insert(0, str(Path(__file__).parent.parent))
from cron.jobs import get_due_jobs, mark_job_run, save_job_output, advance_next_run
# Sentinel: when a cron agent has nothing new to report, it can start its
# response with this marker to suppress delivery. Output is still saved
# locally for audit.
SILENT_MARKER = "[SILENT]"
from cron.jobs import get_due_jobs, mark_job_run, save_job_output
# Resolve Hermes home directory (respects HERMES_HOME override)
_hermes_home = get_hermes_home()
_hermes_home = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
# File-based lock prevents concurrent ticks from gateway + daemon + systemd timer
_LOCK_DIR = _hermes_home / "cron"
@@ -81,32 +75,11 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
}
if ":" in deliver:
platform_name, rest = deliver.split(":", 1)
# Check for thread_id suffix (e.g. "telegram:-1003724596514:17")
if ":" in rest:
chat_id, thread_id = rest.split(":", 1)
else:
chat_id, thread_id = rest, None
# Resolve human-friendly labels like "Alice (dm)" to real IDs.
# send_message(action="list") shows labels with display suffixes
# that aren't valid platform IDs (e.g. WhatsApp JIDs).
try:
from gateway.channel_directory import resolve_channel_name
target = chat_id
# Strip display suffix like " (dm)" or " (group)"
if target.endswith(")") and " (" in target:
target = target.rsplit(" (", 1)[0].strip()
resolved = resolve_channel_name(platform_name.lower(), target)
if resolved:
chat_id = resolved
except Exception:
pass
platform_name, chat_id = deliver.split(":", 1)
return {
"platform": platform_name,
"chat_id": chat_id,
"thread_id": thread_id,
"thread_id": None,
}
platform_name = deliver
@@ -158,14 +131,7 @@ def _deliver_result(job: dict, content: str) -> None:
"slack": Platform.SLACK,
"whatsapp": Platform.WHATSAPP,
"signal": Platform.SIGNAL,
"matrix": Platform.MATRIX,
"mattermost": Platform.MATTERMOST,
"homeassistant": Platform.HOMEASSISTANT,
"dingtalk": Platform.DINGTALK,
"feishu": Platform.FEISHU,
"wecom": Platform.WECOM,
"email": Platform.EMAIL,
"sms": Platform.SMS,
}
platform = platform_map.get(platform_name.lower())
if not platform:
@@ -183,40 +149,15 @@ def _deliver_result(job: dict, content: str) -> None:
logger.warning("Job '%s': platform '%s' not configured/enabled", job["id"], platform_name)
return
# Optionally wrap the content with a header/footer so the user knows this
# is a cron delivery. Wrapping is on by default; set cron.wrap_response: false
# in config.yaml for clean output.
wrap_response = True
try:
user_cfg = load_config()
wrap_response = user_cfg.get("cron", {}).get("wrap_response", True)
except Exception:
pass
if wrap_response:
task_name = job.get("name", job["id"])
delivery_content = (
f"Cronjob Response: {task_name}\n"
f"-------------\n\n"
f"{content}\n\n"
f"Note: The agent cannot see this message, and therefore cannot respond to it."
)
else:
delivery_content = content
# Run the async send in a fresh event loop (safe from any thread)
coro = _send_to_platform(platform, pconfig, chat_id, delivery_content, thread_id=thread_id)
try:
result = asyncio.run(coro)
result = asyncio.run(_send_to_platform(platform, pconfig, chat_id, content, thread_id=thread_id))
except RuntimeError:
# asyncio.run() checks for a running loop before awaiting the coroutine;
# when it raises, the original coro was never started — close it to
# prevent "coroutine was never awaited" RuntimeWarning, then retry in a
# fresh thread that has no running loop.
coro.close()
# asyncio.run() fails if there's already a running loop in this thread;
# spin up a new thread to avoid that.
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, delivery_content, thread_id=thread_id))
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, content, thread_id=thread_id))
result = future.result(timeout=30)
except Exception as e:
logger.error("Job '%s': delivery to %s:%s failed: %s", job["id"], platform_name, chat_id, e)
@@ -226,24 +167,18 @@ def _deliver_result(job: dict, content: str) -> None:
logger.error("Job '%s': delivery error: %s", job["id"], result["error"])
else:
logger.info("Job '%s': delivered to %s:%s", job["id"], platform_name, chat_id)
# Mirror the delivered content into the target's gateway session
try:
from gateway.mirror import mirror_to_session
mirror_to_session(platform_name, chat_id, content, source_label="cron", thread_id=thread_id)
except Exception as e:
logger.warning("Job '%s': mirror_to_session failed: %s", job["id"], e)
def _build_job_prompt(job: dict) -> str:
"""Build the effective prompt for a cron job, optionally loading one or more skills first."""
prompt = job.get("prompt", "")
skills = job.get("skills")
# Always prepend [SILENT] guidance so the cron agent can suppress
# delivery when it has nothing new or noteworthy to report.
silent_hint = (
"[SYSTEM: If you have a meaningful status report or findings, "
"send them — that is the whole point of this job. Only respond "
"with exactly \"[SILENT]\" (nothing else) when there is genuinely "
"nothing new to report. [SILENT] suppresses delivery to the user. "
"Never combine [SILENT] with content — either report your "
"findings normally, or say [SILENT] and nothing more.]\n\n"
)
prompt = silent_hint + prompt
if skills is None:
legacy = job.get("skill")
skills = [legacy] if legacy else []
@@ -255,14 +190,11 @@ def _build_job_prompt(job: dict) -> str:
from tools.skills_tool import skill_view
parts = []
skipped: list[str] = []
for skill_name in skill_names:
loaded = json.loads(skill_view(skill_name))
if not loaded.get("success"):
error = loaded.get("error") or f"Failed to load skill '{skill_name}'"
logger.warning("Cron job '%s': skill not found, skipping — %s", job.get("name", job.get("id")), error)
skipped.append(skill_name)
continue
raise RuntimeError(error)
content = str(loaded.get("content") or "").strip()
if parts:
@@ -275,15 +207,6 @@ def _build_job_prompt(job: dict) -> str:
]
)
if skipped:
notice = (
f"[SYSTEM: The following skill(s) were listed for this job but could not be found "
f"and were skipped: {', '.join(skipped)}. "
f"Start your response with a brief notice so the user is aware, e.g.: "
f"'⚠️ Skill(s) not found and skipped: {', '.join(skipped)}']"
)
parts.insert(0, notice)
if prompt:
parts.extend(["", f"The user has provided the following instruction alongside the skill invocation: {prompt}"])
return "\n".join(parts)
@@ -311,7 +234,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
job_name = job["name"]
prompt = _build_job_prompt(job)
origin = _resolve_origin(job)
_cron_session_id = f"cron_{job_id}_{_hermes_now().strftime('%Y%m%d_%H%M%S')}"
logger.info("Running job '%s' (ID: %s)", job_name, job_id)
logger.info("Prompt: %s", prompt[:100])
@@ -339,7 +261,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
if delivery_target.get("thread_id") is not None:
os.environ["HERMES_CRON_AUTO_DELIVER_THREAD_ID"] = str(delivery_target["thread_id"])
model = job.get("model") or os.getenv("HERMES_MODEL") or ""
model = job.get("model") or os.getenv("HERMES_MODEL") or "anthropic/claude-opus-4.6"
# Load config.yaml for model, reasoning, prefill, toolsets, provider routing
_cfg = {}
@@ -359,11 +281,16 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
logger.warning("Job '%s': failed to load config.yaml, using defaults: %s", job_id, e)
# Reasoning config from env or config.yaml
from hermes_constants import parse_reasoning_effort
reasoning_config = None
effort = os.getenv("HERMES_REASONING_EFFORT", "")
if not effort:
effort = str(_cfg.get("agent", {}).get("reasoning_effort", "")).strip()
reasoning_config = parse_reasoning_effort(effort)
if effort and effort.lower() != "none":
valid = ("xhigh", "high", "medium", "low", "minimal")
if effort.lower() in valid:
reasoning_config = {"enabled": True, "effort": effort.lower()}
elif effort.lower() == "none":
reasoning_config = {"enabled": False}
# Prefill messages from env or config.yaml
prefill_messages = None
@@ -388,7 +315,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
# Provider routing
pr = _cfg.get("provider_routing", {})
smart_routing = _cfg.get("smart_model_routing", {}) or {}
from hermes_cli.runtime_provider import (
resolve_runtime_provider,
@@ -405,29 +331,12 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
message = format_runtime_provider_error(exc)
raise RuntimeError(message) from exc
from agent.smart_model_routing import resolve_turn_route
turn_route = resolve_turn_route(
prompt,
smart_routing,
{
"model": model,
"api_key": runtime.get("api_key"),
"base_url": runtime.get("base_url"),
"provider": runtime.get("provider"),
"api_mode": runtime.get("api_mode"),
"command": runtime.get("command"),
"args": list(runtime.get("args") or []),
},
)
agent = AIAgent(
model=turn_route["model"],
api_key=turn_route["runtime"].get("api_key"),
base_url=turn_route["runtime"].get("base_url"),
provider=turn_route["runtime"].get("provider"),
api_mode=turn_route["runtime"].get("api_mode"),
acp_command=turn_route["runtime"].get("command"),
acp_args=turn_route["runtime"].get("args"),
model=model,
api_key=runtime.get("api_key"),
base_url=runtime.get("base_url"),
provider=runtime.get("provider"),
api_mode=runtime.get("api_mode"),
max_iterations=max_iterations,
reasoning_config=reasoning_config,
prefill_messages=prefill_messages,
@@ -435,19 +344,18 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
providers_ignored=pr.get("ignore"),
providers_order=pr.get("order"),
provider_sort=pr.get("sort"),
disabled_toolsets=["cronjob", "messaging", "clarify"],
disabled_toolsets=["cronjob"],
quiet_mode=True,
platform="cron",
session_id=_cron_session_id,
session_id=f"cron_{job_id}_{_hermes_now().strftime('%Y%m%d_%H%M%S')}",
session_db=_session_db,
)
result = agent.run_conversation(prompt)
final_response = result.get("final_response", "") or ""
# Use a separate variable for log display; keep final_response clean
# for delivery logic (empty response = no delivery).
logged_response = final_response if final_response else "(No response generated)"
final_response = result.get("final_response", "")
if not final_response:
final_response = "(No response generated)"
output = f"""# Cron Job: {job_name}
@@ -461,7 +369,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
## Response
{logged_response}
{final_response}
"""
logger.info("Job '%s' completed successfully", job_name)
@@ -503,13 +411,9 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
):
os.environ.pop(key, None)
if _session_db:
try:
_session_db.end_session(_cron_session_id, "cron_complete")
except (Exception, KeyboardInterrupt) as e:
logger.debug("Job '%s': failed to end session: %s", job_id, e)
try:
_session_db.close()
except (Exception, KeyboardInterrupt) as e:
except Exception as e:
logger.debug("Job '%s': failed to close SQLite session store: %s", job_id, e)
@@ -555,28 +459,15 @@ def tick(verbose: bool = True) -> int:
executed = 0
for job in due_jobs:
try:
# For recurring jobs (cron/interval), advance next_run_at to the
# next future occurrence BEFORE execution. This way, if the
# process crashes mid-run, the job won't re-fire on restart.
# One-shot jobs are left alone so they can retry on restart.
advance_next_run(job["id"])
success, output, final_response, error = run_job(job)
output_file = save_job_output(job["id"], output)
if verbose:
logger.info("Output saved to: %s", output_file)
# Deliver the final response to the origin/target chat.
# If the agent responded with [SILENT], skip delivery (but
# output is already saved above). Failed jobs always deliver.
# Deliver the final response to the origin/target chat
deliver_content = final_response if success else f"⚠️ Cron job '{job.get('name', job['id'])}' failed:\n{error}"
should_deliver = bool(deliver_content)
if should_deliver and success and deliver_content.strip().upper().startswith(SILENT_MARKER):
logger.info("Job '%s': agent returned %s — skipping delivery", job["id"], SILENT_MARKER)
should_deliver = False
if should_deliver:
if deliver_content:
try:
_deliver_result(job, deliver_content)
except Exception as de:

View File

@@ -1,15 +0,0 @@
# Hermes Agent Persona
<!--
This file defines the agent's personality and tone.
The agent will embody whatever you write here.
Edit this to customize how Hermes communicates with you.
Examples:
- "You are a warm, playful assistant who uses kaomoji occasionally."
- "You are a concise technical expert. No fluff, just facts."
- "You speak like a friendly coworker who happens to know everything."
This file is loaded fresh each message -- no restart needed.
Delete the contents (or this file) to use the default personality.
-->

View File

@@ -1,34 +0,0 @@
#!/bin/bash
# Docker entrypoint: bootstrap config files into the mounted volume, then run hermes.
set -e
HERMES_HOME="/opt/data"
INSTALL_DIR="/opt/hermes"
# Create essential directory structure. Cache and platform directories
# (cache/images, cache/audio, platforms/whatsapp, etc.) are created on
# demand by the application — don't pre-create them here so new installs
# get the consolidated layout from get_hermes_dir().
mkdir -p "$HERMES_HOME"/{cron,sessions,logs,hooks,memories,skills}
# .env
if [ ! -f "$HERMES_HOME/.env" ]; then
cp "$INSTALL_DIR/.env.example" "$HERMES_HOME/.env"
fi
# config.yaml
if [ ! -f "$HERMES_HOME/config.yaml" ]; then
cp "$INSTALL_DIR/cli-config.yaml.example" "$HERMES_HOME/config.yaml"
fi
# SOUL.md
if [ ! -f "$HERMES_HOME/SOUL.md" ]; then
cp "$INSTALL_DIR/docker/SOUL.md" "$HERMES_HOME/SOUL.md"
fi
# Sync bundled skills (manifest-based so user edits are preserved)
if [ -d "$INSTALL_DIR/skills" ]; then
python3 "$INSTALL_DIR/tools/skills_sync.py"
fi
exec hermes "$@"

View File

@@ -1,608 +0,0 @@
# Pricing Accuracy Architecture
Date: 2026-03-16
## Goal
Hermes should only show dollar costs when they are backed by an official source for the user's actual billing path.
This design replaces the current static, heuristic pricing flow in:
- `run_agent.py`
- `agent/usage_pricing.py`
- `agent/insights.py`
- `cli.py`
with a provider-aware pricing system that:
- handles cache billing correctly
- distinguishes `actual` vs `estimated` vs `included` vs `unknown`
- reconciles post-hoc costs when providers expose authoritative billing data
- supports direct providers, OpenRouter, subscriptions, enterprise pricing, and custom endpoints
## Problems In The Current Design
Current Hermes behavior has four structural issues:
1. It stores only `prompt_tokens` and `completion_tokens`, which is insufficient for providers that bill cache reads and cache writes separately.
2. It uses a static model price table and fuzzy heuristics, which can drift from current official pricing.
3. It assumes public API list pricing matches the user's real billing path.
4. It has no distinction between live estimates and reconciled billed cost.
## Design Principles
1. Normalize usage before pricing.
2. Never fold cached tokens into plain input cost.
3. Track certainty explicitly.
4. Treat the billing path as part of the model identity.
5. Prefer official machine-readable sources over scraped docs.
6. Use post-hoc provider cost APIs when available.
7. Show `n/a` rather than inventing precision.
## High-Level Architecture
The new system has four layers:
1. `usage_normalization`
Converts raw provider usage into a canonical usage record.
2. `pricing_source_resolution`
Determines the billing path, source of truth, and applicable pricing source.
3. `cost_estimation_and_reconciliation`
Produces an immediate estimate when possible, then replaces or annotates it with actual billed cost later.
4. `presentation`
`/usage`, `/insights`, and the status bar display cost with certainty metadata.
## Canonical Usage Record
Add a canonical usage model that every provider path maps into before any pricing math happens.
Suggested structure:
```python
@dataclass
class CanonicalUsage:
provider: str
billing_provider: str
model: str
billing_route: str
input_tokens: int = 0
output_tokens: int = 0
cache_read_tokens: int = 0
cache_write_tokens: int = 0
reasoning_tokens: int = 0
request_count: int = 1
raw_usage: dict[str, Any] | None = None
raw_usage_fields: dict[str, str] | None = None
computed_fields: set[str] | None = None
provider_request_id: str | None = None
provider_generation_id: str | None = None
provider_response_id: str | None = None
```
Rules:
- `input_tokens` means non-cached input only.
- `cache_read_tokens` and `cache_write_tokens` are never merged into `input_tokens`.
- `output_tokens` excludes cache metrics.
- `reasoning_tokens` is telemetry unless a provider officially bills it separately.
This is the same normalization pattern used by `opencode`, extended with provenance and reconciliation ids.
## Provider Normalization Rules
### OpenAI Direct
Source usage fields:
- `prompt_tokens`
- `completion_tokens`
- `prompt_tokens_details.cached_tokens`
Normalization:
- `cache_read_tokens = cached_tokens`
- `input_tokens = prompt_tokens - cached_tokens`
- `cache_write_tokens = 0` unless OpenAI exposes it in the relevant route
- `output_tokens = completion_tokens`
### Anthropic Direct
Source usage fields:
- `input_tokens`
- `output_tokens`
- `cache_read_input_tokens`
- `cache_creation_input_tokens`
Normalization:
- `input_tokens = input_tokens`
- `output_tokens = output_tokens`
- `cache_read_tokens = cache_read_input_tokens`
- `cache_write_tokens = cache_creation_input_tokens`
### OpenRouter
Estimate-time usage normalization should use the response usage payload with the same rules as the underlying provider when possible.
Reconciliation-time records should also store:
- OpenRouter generation id
- native token fields when available
- `total_cost`
- `cache_discount`
- `upstream_inference_cost`
- `is_byok`
### Gemini / Vertex
Use official Gemini or Vertex usage fields where available.
If cached content tokens are exposed:
- map them to `cache_read_tokens`
If a route exposes no cache creation metric:
- store `cache_write_tokens = 0`
- preserve the raw usage payload for later extension
### DeepSeek And Other Direct Providers
Normalize only the fields that are officially exposed.
If a provider does not expose cache buckets:
- do not infer them unless the provider explicitly documents how to derive them
### Subscription / Included-Cost Routes
These still use the canonical usage model.
Tokens are tracked normally. Cost depends on billing mode, not on whether usage exists.
## Billing Route Model
Hermes must stop keying pricing solely by `model`.
Introduce a billing route descriptor:
```python
@dataclass
class BillingRoute:
provider: str
base_url: str | None
model: str
billing_mode: str
organization_hint: str | None = None
```
`billing_mode` values:
- `official_cost_api`
- `official_generation_api`
- `official_models_api`
- `official_docs_snapshot`
- `subscription_included`
- `user_override`
- `custom_contract`
- `unknown`
Examples:
- OpenAI direct API with Costs API access: `official_cost_api`
- Anthropic direct API with Usage & Cost API access: `official_cost_api`
- OpenRouter request before reconciliation: `official_models_api`
- OpenRouter request after generation lookup: `official_generation_api`
- GitHub Copilot style subscription route: `subscription_included`
- local OpenAI-compatible server: `unknown`
- enterprise contract with configured rates: `custom_contract`
## Cost Status Model
Every displayed cost should have:
```python
@dataclass
class CostResult:
amount_usd: Decimal | None
status: Literal["actual", "estimated", "included", "unknown"]
source: Literal[
"provider_cost_api",
"provider_generation_api",
"provider_models_api",
"official_docs_snapshot",
"user_override",
"custom_contract",
"none",
]
label: str
fetched_at: datetime | None
pricing_version: str | None
notes: list[str]
```
Presentation rules:
- `actual`: show dollar amount as final
- `estimated`: show dollar amount with estimate labeling
- `included`: show `included` or `$0.00 (included)` depending on UX choice
- `unknown`: show `n/a`
## Official Source Hierarchy
Resolve cost using this order:
1. Request-level or account-level official billed cost
2. Official machine-readable model pricing
3. Official docs snapshot
4. User override or custom contract
5. Unknown
The system must never skip to a lower level if a higher-confidence source exists for the current billing route.
## Provider-Specific Truth Rules
### OpenAI Direct
Preferred truth:
1. Costs API for reconciled spend
2. Official pricing page for live estimate
### Anthropic Direct
Preferred truth:
1. Usage & Cost API for reconciled spend
2. Official pricing docs for live estimate
### OpenRouter
Preferred truth:
1. `GET /api/v1/generation` for reconciled `total_cost`
2. `GET /api/v1/models` pricing for live estimate
Do not use underlying provider public pricing as the source of truth for OpenRouter billing.
### Gemini / Vertex
Preferred truth:
1. official billing export or billing API for reconciled spend when available for the route
2. official pricing docs for estimate
### DeepSeek
Preferred truth:
1. official machine-readable cost source if available in the future
2. official pricing docs snapshot today
### Subscription-Included Routes
Preferred truth:
1. explicit route config marking the model as included in subscription
These should display `included`, not an API list-price estimate.
### Custom Endpoint / Local Model
Preferred truth:
1. user override
2. custom contract config
3. unknown
These should default to `unknown`.
## Pricing Catalog
Replace the current `MODEL_PRICING` dict with a richer pricing catalog.
Suggested record:
```python
@dataclass
class PricingEntry:
provider: str
route_pattern: str
model_pattern: str
input_cost_per_million: Decimal | None = None
output_cost_per_million: Decimal | None = None
cache_read_cost_per_million: Decimal | None = None
cache_write_cost_per_million: Decimal | None = None
request_cost: Decimal | None = None
image_cost: Decimal | None = None
source: str = "official_docs_snapshot"
source_url: str | None = None
fetched_at: datetime | None = None
pricing_version: str | None = None
```
The catalog should be route-aware:
- `openai:gpt-5`
- `anthropic:claude-opus-4-6`
- `openrouter:anthropic/claude-opus-4.6`
- `copilot:gpt-4o`
This avoids conflating direct-provider billing with aggregator billing.
## Pricing Sync Architecture
Introduce a pricing sync subsystem instead of manually maintaining a single hardcoded table.
Suggested modules:
- `agent/pricing/catalog.py`
- `agent/pricing/sources.py`
- `agent/pricing/sync.py`
- `agent/pricing/reconcile.py`
- `agent/pricing/types.py`
### Sync Sources
- OpenRouter models API
- official provider docs snapshots where no API exists
- user overrides from config
### Sync Output
Cache pricing entries locally with:
- source URL
- fetch timestamp
- version/hash
- confidence/source type
### Sync Frequency
- startup warm cache
- background refresh every 6 to 24 hours depending on source
- manual `hermes pricing sync`
## Reconciliation Architecture
Live requests may produce only an estimate initially. Hermes should reconcile them later when a provider exposes actual billed cost.
Suggested flow:
1. Agent call completes.
2. Hermes stores canonical usage plus reconciliation ids.
3. Hermes computes an immediate estimate if a pricing source exists.
4. A reconciliation worker fetches actual cost when supported.
5. Session and message records are updated with `actual` cost.
This can run:
- inline for cheap lookups
- asynchronously for delayed provider accounting
## Persistence Changes
Session storage should stop storing only aggregate prompt/completion totals.
Add fields for both usage and cost certainty:
- `input_tokens`
- `output_tokens`
- `cache_read_tokens`
- `cache_write_tokens`
- `reasoning_tokens`
- `estimated_cost_usd`
- `actual_cost_usd`
- `cost_status`
- `cost_source`
- `pricing_version`
- `billing_provider`
- `billing_mode`
If schema expansion is too large for one PR, add a new pricing events table:
```text
session_cost_events
id
session_id
request_id
provider
model
billing_mode
input_tokens
output_tokens
cache_read_tokens
cache_write_tokens
estimated_cost_usd
actual_cost_usd
cost_status
cost_source
pricing_version
created_at
updated_at
```
## Hermes Touchpoints
### `run_agent.py`
Current responsibility:
- parse raw provider usage
- update session token counters
New responsibility:
- build `CanonicalUsage`
- update canonical counters
- store reconciliation ids
- emit usage event to pricing subsystem
### `agent/usage_pricing.py`
Current responsibility:
- static lookup table
- direct cost arithmetic
New responsibility:
- move or replace with pricing catalog facade
- no fuzzy model-family heuristics
- no direct pricing without billing-route context
### `cli.py`
Current responsibility:
- compute session cost directly from prompt/completion totals
New responsibility:
- display `CostResult`
- show status badges:
- `actual`
- `estimated`
- `included`
- `n/a`
### `agent/insights.py`
Current responsibility:
- recompute historical estimates from static pricing
New responsibility:
- aggregate stored pricing events
- prefer actual cost over estimate
- surface estimates only when reconciliation is unavailable
## UX Rules
### Status Bar
Show one of:
- `$1.42`
- `~$1.42`
- `included`
- `cost n/a`
Where:
- `$1.42` means `actual`
- `~$1.42` means `estimated`
- `included` means subscription-backed or explicitly zero-cost route
- `cost n/a` means unknown
### `/usage`
Show:
- token buckets
- estimated cost
- actual cost if available
- cost status
- pricing source
### `/insights`
Aggregate:
- actual cost totals
- estimated-only totals
- unknown-cost sessions count
- included-cost sessions count
## Config And Overrides
Add user-configurable pricing overrides in config:
```yaml
pricing:
mode: hybrid
sync_on_startup: true
sync_interval_hours: 12
overrides:
- provider: openrouter
model: anthropic/claude-opus-4.6
billing_mode: custom_contract
input_cost_per_million: 4.25
output_cost_per_million: 22.0
cache_read_cost_per_million: 0.5
cache_write_cost_per_million: 6.0
included_routes:
- provider: copilot
model: "*"
- provider: codex-subscription
model: "*"
```
Overrides must win over catalog defaults for the matching billing route.
## Rollout Plan
### Phase 1
- add canonical usage model
- split cache token buckets in `run_agent.py`
- stop pricing cache-inflated prompt totals
- preserve current UI with improved backend math
### Phase 2
- add route-aware pricing catalog
- integrate OpenRouter models API sync
- add `estimated` vs `included` vs `unknown`
### Phase 3
- add reconciliation for OpenRouter generation cost
- add actual cost persistence
- update `/insights` to prefer actual cost
### Phase 4
- add direct OpenAI and Anthropic reconciliation paths
- add user overrides and contract pricing
- add pricing sync CLI command
## Testing Strategy
Add tests for:
- OpenAI cached token subtraction
- Anthropic cache read/write separation
- OpenRouter estimated vs actual reconciliation
- subscription-backed models showing `included`
- custom endpoints showing `n/a`
- override precedence
- stale catalog fallback behavior
Current tests that assume heuristic pricing should be replaced with route-aware expectations.
## Non-Goals
- exact enterprise billing reconstruction without an official source or user override
- backfilling perfect historical cost for old sessions that lack cache bucket data
- scraping arbitrary provider web pages at request time
## Recommendation
Do not expand the existing `MODEL_PRICING` dict.
That path cannot satisfy the product requirement. Hermes should instead migrate to:
- canonical usage normalization
- route-aware pricing sources
- estimate-then-reconcile cost lifecycle
- explicit certainty states in the UI
This is the minimum architecture that makes the statement "Hermes pricing is backed by official sources where possible, and otherwise clearly labeled" defensible.

View File

@@ -101,11 +101,21 @@ Available methods:
### Patches (`patches.py`)
**Problem**: Some hermes-agent tools use `asyncio.run()` internally (e.g., the Modal backend). This crashes when called from inside Atropos's event loop because `asyncio.run()` cannot be nested.
**Problem**: Some hermes-agent tools use `asyncio.run()` internally (e.g., mini-swe-agent's Modal backend via SWE-ReX). This crashes when called from inside Atropos's event loop because `asyncio.run()` cannot be nested.
**Solution**: `ModalEnvironment` uses a dedicated `_AsyncWorker` background thread with its own event loop. The calling code sees a sync interface, but internally all async Modal SDK calls happen on the worker thread so they don't conflict with Atropos's loop. This is built directly into `tools/environments/modal.py` — no monkey-patching required.
**Solution**: `patches.py` monkey-patches `SwerexModalEnvironment` to use a dedicated background thread (`_AsyncWorker`) with its own event loop. The calling code sees the same sync interface, but internally the async work happens on a separate thread that doesn't conflict with Atropos's loop.
`patches.py` is now a no-op (kept for backward compatibility with imports).
What gets patched:
- `SwerexModalEnvironment.__init__` -- creates Modal deployment on a background thread
- `SwerexModalEnvironment.execute` -- runs commands on the same background thread
- `SwerexModalEnvironment.stop` -- stops deployment on the background thread
The patches are:
- **Idempotent** -- calling `apply_patches()` multiple times is safe
- **Transparent** -- same interface and behavior, only the internal async execution changes
- **Universal** -- works identically in normal CLI use (no running event loop)
Applied automatically at import time by `hermes_base_env.py`.
### Tool Call Parsers (`tool_call_parsers/`)

View File

@@ -13,7 +13,6 @@ Core layers:
Concrete environments:
- terminal_test_env/: Simple file-creation tasks for testing the stack
- hermes_swe_env/: SWE-bench style tasks with Modal sandboxes
- endless_terminals/: Terminal tasks from HuggingFace dataset with Apptainer containers
Benchmarks (eval-only):
- benchmarks/terminalbench_2/: Terminal-Bench 2.0 evaluation

View File

@@ -23,7 +23,7 @@ from typing import Any, Dict, List, Optional, Set
from model_tools import handle_function_call
# Thread pool for running sync tool calls that internally use asyncio.run()
# (e.g., the Modal/Docker/Daytona terminal backends). Running them in a separate
# (e.g., mini-swe-agent's modal/docker/daytona backends). Running them in a separate
# thread gives them a clean event loop so they don't deadlock inside Atropos's loop.
# Size must be large enough for concurrent eval tasks (e.g., 89 TB2 tasks all
# making tool calls). Too small = thread pool starvation, tasks queue for minutes.
@@ -346,89 +346,78 @@ class HermesAgentLoop:
tool_name, turn + 1,
)
else:
# Parse arguments
# Parse arguments and dispatch
try:
args = json.loads(tool_args_raw)
except json.JSONDecodeError as e:
args = None
tool_result = json.dumps(
{"error": f"Invalid JSON in tool arguments: {e}. Please retry with valid JSON."}
)
tool_errors.append(ToolError(
turn=turn + 1, tool_name=tool_name,
arguments=tool_args_raw[:200],
error=f"Invalid JSON: {e}",
tool_result=tool_result,
))
except json.JSONDecodeError:
args = {}
logger.warning(
"Invalid JSON in tool call arguments for '%s': %s",
tool_name, tool_args_raw[:200],
)
# Dispatch tool only if arguments parsed successfully
if args is not None:
try:
if tool_name == "terminal":
backend = os.getenv("TERMINAL_ENV", "local")
cmd_preview = args.get("command", "")[:80]
logger.info(
"[%s] $ %s", self.task_id[:8], cmd_preview,
)
tool_submit_time = _time.monotonic()
# Todo tool -- handle locally (needs per-loop TodoStore)
if tool_name == "todo":
tool_result = _todo_tool(
todos=args.get("todos"),
merge=args.get("merge", False),
store=_todo_store,
)
tool_elapsed = _time.monotonic() - tool_submit_time
elif tool_name == "memory":
tool_result = json.dumps({"error": "Memory is not available in RL environments."})
tool_elapsed = _time.monotonic() - tool_submit_time
elif tool_name == "session_search":
tool_result = json.dumps({"error": "Session search is not available in RL environments."})
tool_elapsed = _time.monotonic() - tool_submit_time
else:
# Run tool calls in a thread pool so backends that
# use asyncio.run() internally (modal, docker, daytona) get
# a clean event loop instead of deadlocking.
loop = asyncio.get_event_loop()
# Capture current tool_name/args for the lambda
_tn, _ta, _tid = tool_name, args, self.task_id
tool_result = await loop.run_in_executor(
_tool_executor,
lambda: handle_function_call(
_tn, _ta, task_id=_tid,
user_task=_user_task,
),
)
tool_elapsed = _time.monotonic() - tool_submit_time
# Log slow tools and thread pool stats for debugging
pool_active = _tool_executor._work_queue.qsize()
if tool_elapsed > 30:
logger.warning(
"[%s] turn %d: %s took %.1fs (pool queue=%d)",
self.task_id[:8], turn + 1, tool_name,
tool_elapsed, pool_active,
)
except Exception as e:
tool_result = json.dumps(
{"error": f"Tool execution failed: {type(e).__name__}: {str(e)}"}
try:
if tool_name == "terminal":
backend = os.getenv("TERMINAL_ENV", "local")
cmd_preview = args.get("command", "")[:80]
logger.info(
"[%s] $ %s", self.task_id[:8], cmd_preview,
)
tool_errors.append(ToolError(
turn=turn + 1, tool_name=tool_name,
arguments=tool_args_raw[:200],
error=f"{type(e).__name__}: {str(e)}",
tool_result=tool_result,
))
logger.error(
"Tool '%s' execution failed on turn %d: %s",
tool_name, turn + 1, e,
tool_submit_time = _time.monotonic()
# Todo tool -- handle locally (needs per-loop TodoStore)
if tool_name == "todo":
tool_result = _todo_tool(
todos=args.get("todos"),
merge=args.get("merge", False),
store=_todo_store,
)
tool_elapsed = _time.monotonic() - tool_submit_time
elif tool_name == "memory":
tool_result = json.dumps({"error": "Memory is not available in RL environments."})
tool_elapsed = _time.monotonic() - tool_submit_time
elif tool_name == "session_search":
tool_result = json.dumps({"error": "Session search is not available in RL environments."})
tool_elapsed = _time.monotonic() - tool_submit_time
else:
# Run tool calls in a thread pool so backends that
# use asyncio.run() internally (modal, docker, daytona) get
# a clean event loop instead of deadlocking.
loop = asyncio.get_event_loop()
# Capture current tool_name/args for the lambda
_tn, _ta, _tid = tool_name, args, self.task_id
tool_result = await loop.run_in_executor(
_tool_executor,
lambda: handle_function_call(
_tn, _ta, task_id=_tid,
user_task=_user_task,
),
)
tool_elapsed = _time.monotonic() - tool_submit_time
# Log slow tools and thread pool stats for debugging
pool_active = _tool_executor._work_queue.qsize()
if tool_elapsed > 30:
logger.warning(
"[%s] turn %d: %s took %.1fs (pool queue=%d)",
self.task_id[:8], turn + 1, tool_name,
tool_elapsed, pool_active,
)
except Exception as e:
tool_result = json.dumps(
{"error": f"Tool execution failed: {type(e).__name__}: {str(e)}"}
)
tool_errors.append(ToolError(
turn=turn + 1, tool_name=tool_name,
arguments=tool_args_raw[:200],
error=f"{type(e).__name__}: {str(e)}",
tool_result=tool_result,
))
logger.error(
"Tool '%s' execution failed on turn %d: %s",
tool_name, turn + 1, e,
)
# Also check if the tool returned an error in its JSON result
try:

View File

@@ -209,7 +209,7 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
# Agent settings -- TB2 tasks are complex, need many turns
max_agent_turns=60,
max_token_length=16000,
max_token_length=***
agent_temperature=0.6,
system_prompt=None,
@@ -233,7 +233,7 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
steps_per_eval=1,
total_steps=1,
tokenizer_name="NousResearch/Hermes-3-Llama-3.1-8B",
tokenizer_name="NousRe...1-8B",
use_wandb=True,
wandb_name="terminal-bench-2",
ensure_scores_are_not_same=False, # Binary rewards may all be 0 or 1
@@ -245,7 +245,7 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
base_url="https://openrouter.ai/api/v1",
model_name="anthropic/claude-sonnet-4",
server_type="openai",
api_key=os.getenv("OPENROUTER_API_KEY", ""),
api_key=os.get...EY", ""),
health_check=False,
)
]
@@ -513,446 +513,3 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
reward = 0.0
else:
# Run tests in a thread so the blocking ctx.terminal() calls
# don't freeze the entire event loop (which would stall all
# other tasks, tqdm updates, and timeout timers).
ctx = ToolContext(task_id)
try:
loop = asyncio.get_event_loop()
reward = await loop.run_in_executor(
None, # default thread pool
self._run_tests, eval_item, ctx, task_name,
)
except Exception as e:
logger.error("Task %s: test verification failed: %s", task_name, e)
reward = 0.0
finally:
ctx.cleanup()
passed = reward == 1.0
status = "PASS" if passed else "FAIL"
elapsed = time.time() - task_start
tqdm.write(f" [{status}] {task_name} (turns={result.turns_used}, {elapsed:.0f}s)")
logger.info(
"Task %s: reward=%.1f, turns=%d, finished=%s",
task_name, reward, result.turns_used, result.finished_naturally,
)
out = {
"passed": passed,
"reward": reward,
"task_name": task_name,
"category": category,
"turns_used": result.turns_used,
"finished_naturally": result.finished_naturally,
"messages": result.messages,
}
self._save_result(out)
return out
except Exception as e:
elapsed = time.time() - task_start
logger.error("Task %s: rollout failed: %s", task_name, e, exc_info=True)
tqdm.write(f" [ERROR] {task_name}: {e} ({elapsed:.0f}s)")
out = {
"passed": False, "reward": 0.0,
"task_name": task_name, "category": category,
"error": str(e),
}
self._save_result(out)
return out
finally:
# --- Cleanup: clear overrides, sandbox, and temp files ---
clear_task_env_overrides(task_id)
try:
cleanup_vm(task_id)
except Exception as e:
logger.debug("VM cleanup for %s: %s", task_id[:8], e)
if task_dir and task_dir.exists():
shutil.rmtree(task_dir, ignore_errors=True)
def _run_tests(
self, item: Dict[str, Any], ctx: ToolContext, task_name: str
) -> float:
"""
Upload and execute the test suite in the agent's sandbox, then
download the verifier output locally to read the reward.
Follows Harbor's verification pattern:
1. Upload tests/ directory into the sandbox
2. Execute test.sh inside the sandbox
3. Download /logs/verifier/ directory to a local temp dir
4. Read reward.txt locally with native Python I/O
Downloading locally avoids issues with the file_read tool on
the Modal VM and matches how Harbor handles verification.
TB2 test scripts (test.sh) typically:
1. Install pytest via uv/pip
2. Run pytest against the test files in /tests/
3. Write results to /logs/verifier/reward.txt
Args:
item: The TB2 task dict (contains tests_tar, test_sh)
ctx: ToolContext scoped to this task's sandbox
task_name: For logging
Returns:
1.0 if tests pass, 0.0 otherwise
"""
tests_tar = item.get("tests_tar", "")
test_sh = item.get("test_sh", "")
if not test_sh:
logger.warning("Task %s: no test_sh content, reward=0", task_name)
return 0.0
# Create required directories in the sandbox
ctx.terminal("mkdir -p /tests /logs/verifier")
# Upload test files into the sandbox (binary-safe via base64)
if tests_tar:
tests_temp = Path(tempfile.mkdtemp(prefix=f"tb2-tests-{task_name}-"))
try:
_extract_base64_tar(tests_tar, tests_temp)
ctx.upload_dir(str(tests_temp), "/tests")
except Exception as e:
logger.warning("Task %s: failed to upload test files: %s", task_name, e)
finally:
shutil.rmtree(tests_temp, ignore_errors=True)
# Write the test runner script (test.sh)
ctx.write_file("/tests/test.sh", test_sh)
ctx.terminal("chmod +x /tests/test.sh")
# Execute the test suite
logger.info(
"Task %s: running test suite (timeout=%ds)",
task_name, self.config.test_timeout,
)
test_result = ctx.terminal(
"bash /tests/test.sh",
timeout=self.config.test_timeout,
)
exit_code = test_result.get("exit_code", -1)
output = test_result.get("output", "")
# Download the verifier output directory locally, then read reward.txt
# with native Python I/O. This avoids issues with file_read on the
# Modal VM and matches Harbor's verification pattern.
reward = 0.0
local_verifier_dir = Path(tempfile.mkdtemp(prefix=f"tb2-verifier-{task_name}-"))
try:
ctx.download_dir("/logs/verifier", str(local_verifier_dir))
reward_file = local_verifier_dir / "reward.txt"
if reward_file.exists() and reward_file.stat().st_size > 0:
content = reward_file.read_text().strip()
if content == "1":
reward = 1.0
elif content == "0":
reward = 0.0
else:
# Unexpected content -- try parsing as float
try:
reward = float(content)
except (ValueError, TypeError):
logger.warning(
"Task %s: reward.txt content unexpected (%r), "
"falling back to exit_code=%d",
task_name, content, exit_code,
)
reward = 1.0 if exit_code == 0 else 0.0
else:
# reward.txt not written -- fall back to exit code
logger.warning(
"Task %s: reward.txt not found after download, "
"falling back to exit_code=%d",
task_name, exit_code,
)
reward = 1.0 if exit_code == 0 else 0.0
except Exception as e:
logger.warning(
"Task %s: failed to download verifier dir: %s, "
"falling back to exit_code=%d",
task_name, e, exit_code,
)
reward = 1.0 if exit_code == 0 else 0.0
finally:
shutil.rmtree(local_verifier_dir, ignore_errors=True)
# Log test output for debugging failures
if reward == 0.0:
output_preview = output[-500:] if output else "(no output)"
logger.info(
"Task %s: FAIL (exit_code=%d)\n%s",
task_name, exit_code, output_preview,
)
return reward
# =========================================================================
# Evaluate -- main entry point for the eval subcommand
# =========================================================================
async def _eval_with_timeout(self, item: Dict[str, Any]) -> Dict:
"""
Wrap rollout_and_score_eval with a per-task wall-clock timeout.
If the task exceeds task_timeout seconds, it's automatically scored
as FAIL. This prevents any single task from hanging indefinitely.
"""
task_name = item.get("task_name", "unknown")
category = item.get("category", "unknown")
try:
return await asyncio.wait_for(
self.rollout_and_score_eval(item),
timeout=self.config.task_timeout,
)
except asyncio.TimeoutError:
from tqdm import tqdm
elapsed = self.config.task_timeout
tqdm.write(f" [TIMEOUT] {task_name} (exceeded {elapsed}s wall-clock limit)")
logger.error("Task %s: wall-clock timeout after %ds", task_name, elapsed)
out = {
"passed": False, "reward": 0.0,
"task_name": task_name, "category": category,
"error": f"timeout ({elapsed}s)",
}
self._save_result(out)
return out
async def evaluate(self, *args, **kwargs) -> None:
"""
Run Terminal-Bench 2.0 evaluation over all tasks.
This is the main entry point when invoked via:
python environments/terminalbench2_env.py evaluate
Runs all tasks through rollout_and_score_eval() via asyncio.gather()
(same pattern as GPQA and other Atropos eval envs). Each task is
wrapped with a wall-clock timeout so hung tasks auto-fail.
Suppresses noisy Modal/terminal output (HERMES_QUIET) so the tqdm
bar stays visible.
"""
start_time = time.time()
# Route all logging through tqdm.write() so the progress bar stays
# pinned at the bottom while log lines scroll above it.
from tqdm import tqdm
class _TqdmHandler(logging.Handler):
def emit(self, record):
try:
tqdm.write(self.format(record))
except Exception:
self.handleError(record)
handler = _TqdmHandler()
handler.setFormatter(logging.Formatter(
"%(asctime)s [%(name)s] %(levelname)s: %(message)s",
datefmt="%H:%M:%S",
))
root = logging.getLogger()
root.handlers = [handler] # Replace any existing handlers
root.setLevel(logging.INFO)
# Silence noisy third-party loggers that flood the output
logging.getLogger("httpx").setLevel(logging.WARNING) # Every HTTP request
logging.getLogger("openai").setLevel(logging.WARNING) # OpenAI client retries
logging.getLogger("rex-deploy").setLevel(logging.WARNING) # Swerex deployment
logging.getLogger("rex_image_builder").setLevel(logging.WARNING) # Image builds
print(f"\n{'='*60}")
print("Starting Terminal-Bench 2.0 Evaluation")
print(f"{'='*60}")
print(f" Dataset: {self.config.dataset_name}")
print(f" Total tasks: {len(self.all_eval_items)}")
print(f" Max agent turns: {self.config.max_agent_turns}")
print(f" Task timeout: {self.config.task_timeout}s")
print(f" Terminal backend: {self.config.terminal_backend}")
print(f" Tool thread pool: {self.config.tool_pool_size}")
print(f" Terminal timeout: {self.config.terminal_timeout}s/cmd")
print(f" Terminal lifetime: {self.config.terminal_lifetime}s (auto: task_timeout + 120)")
print(f" Max concurrent tasks: {self.config.max_concurrent_tasks}")
print(f"{'='*60}\n")
# Semaphore to limit concurrent Modal sandbox creations.
# Without this, all 86 tasks fire simultaneously, each creating a Modal
# sandbox via asyncio.run() inside a thread pool worker. Modal's blocking
# calls (App.lookup, etc.) deadlock when too many are created at once.
semaphore = asyncio.Semaphore(self.config.max_concurrent_tasks)
async def _eval_with_semaphore(item):
async with semaphore:
return await self._eval_with_timeout(item)
# Fire all tasks with wall-clock timeout, track live accuracy on the bar
total_tasks = len(self.all_eval_items)
eval_tasks = [
asyncio.ensure_future(_eval_with_semaphore(item))
for item in self.all_eval_items
]
results = []
passed_count = 0
pbar = tqdm(total=total_tasks, desc="Evaluating TB2", dynamic_ncols=True)
try:
for coro in asyncio.as_completed(eval_tasks):
result = await coro
results.append(result)
if result and result.get("passed"):
passed_count += 1
done = len(results)
pct = (passed_count / done * 100) if done else 0
pbar.set_postfix_str(f"pass={passed_count}/{done} ({pct:.1f}%)")
pbar.update(1)
except (KeyboardInterrupt, asyncio.CancelledError):
pbar.close()
print(f"\n\nInterrupted! Cleaning up {len(eval_tasks)} tasks...")
# Cancel all pending tasks
for task in eval_tasks:
task.cancel()
# Let cancellations propagate (finally blocks run cleanup_vm)
await asyncio.gather(*eval_tasks, return_exceptions=True)
# Belt-and-suspenders: clean up any remaining sandboxes
from tools.terminal_tool import cleanup_all_environments
cleanup_all_environments()
print("All sandboxes cleaned up.")
return
finally:
pbar.close()
end_time = time.time()
# Filter out None results (shouldn't happen, but be safe)
valid_results = [r for r in results if r is not None]
if not valid_results:
print("Warning: No valid evaluation results obtained")
return
# ---- Compute metrics ----
total = len(valid_results)
passed = sum(1 for r in valid_results if r.get("passed"))
overall_pass_rate = passed / total if total > 0 else 0.0
# Per-category breakdown
cat_results: Dict[str, List[Dict]] = defaultdict(list)
for r in valid_results:
cat_results[r.get("category", "unknown")].append(r)
# Build metrics dict
eval_metrics = {
"eval/pass_rate": overall_pass_rate,
"eval/total_tasks": total,
"eval/passed_tasks": passed,
"eval/evaluation_time_seconds": end_time - start_time,
}
# Per-category metrics
for category, cat_items in sorted(cat_results.items()):
cat_passed = sum(1 for r in cat_items if r.get("passed"))
cat_total = len(cat_items)
cat_pass_rate = cat_passed / cat_total if cat_total > 0 else 0.0
cat_key = category.replace(" ", "_").replace("-", "_").lower()
eval_metrics[f"eval/pass_rate_{cat_key}"] = cat_pass_rate
# Store metrics for wandb_log
self.eval_metrics = [(k, v) for k, v in eval_metrics.items()]
# ---- Print summary ----
print(f"\n{'='*60}")
print("Terminal-Bench 2.0 Evaluation Results")
print(f"{'='*60}")
print(f"Overall Pass Rate: {overall_pass_rate:.4f} ({passed}/{total})")
print(f"Evaluation Time: {end_time - start_time:.1f} seconds")
print("\nCategory Breakdown:")
for category, cat_items in sorted(cat_results.items()):
cat_passed = sum(1 for r in cat_items if r.get("passed"))
cat_total = len(cat_items)
cat_rate = cat_passed / cat_total if cat_total > 0 else 0.0
print(f" {category}: {cat_rate:.1%} ({cat_passed}/{cat_total})")
# Print individual task results
print("\nTask Results:")
for r in sorted(valid_results, key=lambda x: x.get("task_name", "")):
status = "PASS" if r.get("passed") else "FAIL"
turns = r.get("turns_used", "?")
error = r.get("error", "")
extra = f" (error: {error})" if error else ""
print(f" [{status}] {r['task_name']} (turns={turns}){extra}")
print(f"{'='*60}\n")
# Build sample records for evaluate_log (includes full conversations)
samples = [
{
"task_name": r.get("task_name"),
"category": r.get("category"),
"passed": r.get("passed"),
"reward": r.get("reward"),
"turns_used": r.get("turns_used"),
"error": r.get("error"),
"messages": r.get("messages"),
}
for r in valid_results
]
# Log evaluation results
try:
await self.evaluate_log(
metrics=eval_metrics,
samples=samples,
start_time=start_time,
end_time=end_time,
generation_parameters={
"temperature": self.config.agent_temperature,
"max_tokens": self.config.max_token_length,
"max_agent_turns": self.config.max_agent_turns,
"terminal_backend": self.config.terminal_backend,
},
)
except Exception as e:
print(f"Error logging evaluation results: {e}")
# Close streaming file
if hasattr(self, "_streaming_file") and not self._streaming_file.closed:
self._streaming_file.close()
print(f" Live results saved to: {self._streaming_path}")
# Kill all remaining sandboxes. Timed-out tasks leave orphaned thread
# pool workers still executing commands -- cleanup_all stops them.
from tools.terminal_tool import cleanup_all_environments
print("\nCleaning up all sandboxes...")
cleanup_all_environments()
# Shut down the tool thread pool so orphaned workers from timed-out
# tasks are killed immediately instead of retrying against dead
# sandboxes and spamming the console with TimeoutError warnings.
from environments.agent_loop import _tool_executor
_tool_executor.shutdown(wait=False, cancel_futures=True)
print("Done.")
# =========================================================================
# Wandb logging
# =========================================================================
async def wandb_log(self, wandb_metrics: Optional[Dict] = None):
"""Log TB2-specific metrics to wandb."""
if wandb_metrics is None:
wandb_metrics = {}
# Add stored eval metrics
for metric_name, metric_value in self.eval_metrics:
wandb_metrics[metric_name] = metric_value
self.eval_metrics = []
await super().wandb_log(wandb_metrics)
if __name__ == "__main__":
TerminalBench2EvalEnv.cli()

View File

@@ -1,5 +0,0 @@
"""Endless Terminals Environment - Terminal task training from HuggingFace dataset."""
from .endless_terminals_env import EndlessTerminalsEnv, EndlessTerminalsEnvConfig
__all__ = ["EndlessTerminalsEnv", "EndlessTerminalsEnvConfig"]

File diff suppressed because it is too large Load Diff

View File

@@ -1,91 +0,0 @@
# Endless Terminals - Qwen3-4B-Instruct-2507
# Single config for both trainer (launch_training.py) and env (endless_terminals_env.py serve)
#
# Usage:
# Terminal 1: run-api
# Terminal 2: cd tinker-atropos && python launch_training.py --config ../environments/endless_terminals/tinker_qwen.yaml
# Terminal 3: python environments/endless_terminals/endless_terminals_env.py serve --config environments/endless_terminals/tinker_qwen.yaml
env:
# Toolsets
enabled_toolsets: ["terminal", "file"]
# Model / tokenizer
tokenizer_name: "Qwen/Qwen3-4B-Instruct-2507"
# Agent configuration
max_agent_turns: 16
max_token_length: 2048
agent_temperature: 0.6
extra_body:
chat_template_kwargs:
enable_thinking: false
tool_call_parser: "hermes"
# Terminal backend
terminal_backend: "docker"
# Dataset settings
use_dataset: true
dataset_name: "obiwan96/endless-terminals"
dataset_split: "train"
dataset_cache_dir: "~/.cache/huggingface/datasets"
tasks_base_dir: "/Users/samherring/Desktop/Projects/Hermes-Agent/endless-terminals"
# Test execution
test_timeout_s: 180
default_docker_image: "ubuntu:22.04"
max_concurrent_containers: 16
# Training configuration
group_size: 16
batch_size: 64 # 4 groups × 16 rollouts per step
total_steps: 500
steps_per_eval: 5
min_items_sent_before_logging: 1
ensure_scores_are_not_same: true
max_num_workers: 2048
worker_timeout: 3600
inference_weight: 1.0
eval_limit_ratio: 0.1
rollout_server_url: "http://localhost:8000"
# Evaluation configuration
num_eval_tasks: 20
eval_split_ratio: 0.1
# Logging
use_wandb: true
wandb_name: "endless-terminals-qwen3-4b"
# System prompt
system_prompt: >
You are a skilled Linux system administrator and programmer.
You have access to a terminal and file tools to complete system administration
and programming tasks. Use the tools effectively to solve the given task,
and verify your solution works correctly before finishing.
Keep each command short and focused — break complex tasks into multiple steps
rather than writing long one-liners.
tinker:
lora_rank: 32
learning_rate: 0.0000005
max_token_trainer_length: 32768
checkpoint_dir: "./temp/"
save_checkpoint_interval: 50
wandb_project: "endless-terminals"
wandb_group: null
wandb_run_name: "qwen3-4b"
tool_call_parser: "hermes"
openai:
- model_name: "Qwen/Qwen3-4B-Instruct-2507"
base_url: "http://localhost:8001/v1"
api_key: "x"
weight: 1.0
num_requests_for_eval: 64
timeout: 600
server_type: "sglang"
slurm: false
testing: false

View File

@@ -298,6 +298,7 @@ class HermesAgentBaseEnv(BaseEnv):
return False
server = self.server.servers[0]
# If the server is an OpenAI server (not VLLM/SGLang), use direct mode
from atroposlib.envs.server_handling.openai_server import OpenAIServer
return not isinstance(server, OpenAIServer)

View File

@@ -2,41 +2,203 @@
Monkey patches for making hermes-agent tools work inside async frameworks (Atropos).
Problem:
Some tools use asyncio.run() internally (e.g., Modal backend via SWE-ReX,
Some tools use asyncio.run() internally (e.g., mini-swe-agent's Modal backend,
web_extract). This crashes when called from inside Atropos's event loop because
asyncio.run() can't be nested.
Solution:
The Modal environment (tools/environments/modal.py) now uses a dedicated
_AsyncWorker thread internally, making it safe for both CLI and Atropos use.
No monkey-patching is required.
Replace the problematic methods with versions that use a dedicated background
thread with its own event loop. The calling code sees the same sync interface --
call a function, get a result -- but internally the async work happens on a
separate thread that doesn't conflict with Atropos's loop.
This module is kept for backward compatibility — apply_patches() is now a no-op.
These patches are safe for normal CLI use too: when there's no running event
loop, the behavior is identical (the background thread approach works regardless).
What gets patched:
- SwerexModalEnvironment.__init__ -- creates Modal deployment on a background thread
- SwerexModalEnvironment.execute -- runs commands on the same background thread
- SwerexModalEnvironment.stop -- stops deployment on the background thread
Usage:
Call apply_patches() once at import time (done automatically by hermes_base_env.py).
This is idempotent calling it multiple times is safe.
This is idempotent -- calling it multiple times is safe.
"""
import asyncio
import logging
import threading
from typing import Any
logger = logging.getLogger(__name__)
_patches_applied = False
def apply_patches():
"""Apply all monkey patches needed for Atropos compatibility.
class _AsyncWorker:
"""
A dedicated background thread with its own event loop.
Now a no-op — Modal async safety is built directly into ModalEnvironment.
Safe to call multiple times.
Allows sync code to submit async coroutines and block for results,
even when called from inside another running event loop. Used to
bridge sync tool interfaces with async backends (Modal, SWE-ReX).
"""
def __init__(self):
self._loop: asyncio.AbstractEventLoop = None
self._thread: threading.Thread = None
self._started = threading.Event()
def start(self):
"""Start the background event loop thread."""
self._thread = threading.Thread(target=self._run_loop, daemon=True)
self._thread.start()
self._started.wait(timeout=30)
def _run_loop(self):
"""Background thread entry point -- runs the event loop forever."""
self._loop = asyncio.new_event_loop()
asyncio.set_event_loop(self._loop)
self._started.set()
self._loop.run_forever()
def run_coroutine(self, coro, timeout=600):
"""
Submit a coroutine to the background loop and block until it completes.
Safe to call from any thread, including threads that already have
a running event loop.
"""
if self._loop is None or self._loop.is_closed():
raise RuntimeError("AsyncWorker loop is not running")
future = asyncio.run_coroutine_threadsafe(coro, self._loop)
return future.result(timeout=timeout)
def stop(self):
"""Stop the background event loop and join the thread."""
if self._loop and self._loop.is_running():
self._loop.call_soon_threadsafe(self._loop.stop)
if self._thread:
self._thread.join(timeout=10)
def _patch_swerex_modal():
"""
Monkey patch SwerexModalEnvironment to use a background thread event loop
instead of asyncio.run(). This makes it safe to call from inside Atropos's
async event loop.
The patched methods have the exact same interface and behavior -- the only
difference is HOW the async work is executed internally.
"""
try:
from minisweagent.environments.extra.swerex_modal import (
SwerexModalEnvironment,
SwerexModalEnvironmentConfig,
)
from swerex.deployment.modal import ModalDeployment
from swerex.runtime.abstract import Command as RexCommand
except ImportError:
# mini-swe-agent or swe-rex not installed -- nothing to patch
logger.debug("mini-swe-agent Modal backend not available, skipping patch")
return
# Save original methods so we can refer to config handling
_original_init = SwerexModalEnvironment.__init__
def _patched_init(self, **kwargs):
"""Patched __init__: creates Modal deployment on a background thread."""
self.config = SwerexModalEnvironmentConfig(**kwargs)
# Start a dedicated event loop thread for all Modal async operations
self._worker = _AsyncWorker()
self._worker.start()
# Pre-build a modal.Image with pip fix for Modal's legacy image builder.
# Modal requires `python -m pip` to work during image build, but some
# task images (e.g., TBLite's broken-python) have intentionally broken pip.
# Fix: remove stale pip dist-info and reinstall via ensurepip before Modal
# tries to use it. This is a no-op for images where pip already works.
import modal as _modal
image_spec = self.config.image
if isinstance(image_spec, str):
image_spec = _modal.Image.from_registry(
image_spec,
setup_dockerfile_commands=[
"RUN rm -rf /usr/local/lib/python*/site-packages/pip* 2>/dev/null; "
"python -m ensurepip --upgrade --default-pip 2>/dev/null || true",
],
)
# Create AND start the deployment entirely on the worker's loop/thread
# so all gRPC channels and async state are bound to that loop
async def _create_and_start():
deployment = ModalDeployment(
image=image_spec,
startup_timeout=self.config.startup_timeout,
runtime_timeout=self.config.runtime_timeout,
deployment_timeout=self.config.deployment_timeout,
install_pipx=self.config.install_pipx,
modal_sandbox_kwargs=self.config.modal_sandbox_kwargs,
)
await deployment.start()
return deployment
self.deployment = self._worker.run_coroutine(_create_and_start())
def _patched_execute(self, command: str, cwd: str = "", *, timeout: int | None = None) -> dict[str, Any]:
"""Patched execute: runs commands on the background thread's loop."""
async def _do_execute():
return await self.deployment.runtime.execute(
RexCommand(
command=command,
shell=True,
check=False,
cwd=cwd or self.config.cwd,
timeout=timeout or self.config.timeout,
merge_output_streams=True,
env=self.config.env if self.config.env else None,
)
)
output = self._worker.run_coroutine(_do_execute())
return {
"output": output.stdout,
"returncode": output.exit_code,
}
def _patched_stop(self):
"""Patched stop: stops deployment on the background thread, then stops the thread."""
try:
self._worker.run_coroutine(
asyncio.wait_for(self.deployment.stop(), timeout=10),
timeout=15,
)
except Exception:
pass
finally:
self._worker.stop()
# Apply the patches
SwerexModalEnvironment.__init__ = _patched_init
SwerexModalEnvironment.execute = _patched_execute
SwerexModalEnvironment.stop = _patched_stop
logger.debug("Patched SwerexModalEnvironment for async-safe operation")
def apply_patches():
"""
Apply all monkey patches needed for Atropos compatibility.
Safe to call multiple times -- patches are only applied once.
Safe for normal CLI use -- patched code works identically when
there is no running event loop.
"""
global _patches_applied
if _patches_applied:
return
# Modal async-safety is now built into tools/environments/modal.py
# via the _AsyncWorker class. No monkey-patching needed.
logger.debug("apply_patches() called — no patches needed (async safety is built-in)")
_patch_swerex_modal()
_patches_applied = True

View File

@@ -48,13 +48,7 @@ class HermesToolCallParser(ToolCallParser):
if not raw_json.strip():
continue
try:
tc_data = json.loads(raw_json)
except json.JSONDecodeError:
# Fix invalid backslash escapes from shell commands in JSON strings
# e.g. \s \w \d \n (unescaped) → \\s \\w \\d \\n
fixed = re.sub(r'\\([^"\\/bfnrtu0-9\n])', r'\\\\\1', raw_json)
tc_data = json.loads(fixed)
tc_data = json.loads(raw_json)
tool_calls.append(
ChatCompletionMessageToolCall(
id=f"call_{uuid.uuid4().hex[:8]}",

View File

@@ -10,6 +10,7 @@ The [TOOL_CALLS] token is the bot_token used by Mistral models.
"""
import json
import re
import uuid
from typing import List, Optional
@@ -41,6 +42,9 @@ class MistralToolCallParser(ToolCallParser):
# The [TOOL_CALLS] token -- may appear as different strings depending on tokenizer
BOT_TOKEN = "[TOOL_CALLS]"
# Fallback regex for pre-v11 format when JSON parsing fails
TOOL_CALL_REGEX = re.compile(r"\[?\s*(\{.*?\})\s*\]?", re.DOTALL)
def parse(self, text: str) -> ParseResult:
if self.BOT_TOKEN not in text:
return text, None
@@ -67,13 +71,6 @@ class MistralToolCallParser(ToolCallParser):
tool_name = raw[:brace_idx].strip()
args_str = raw[brace_idx:]
# Validate and clean the JSON arguments
try:
parsed_args = json.loads(args_str)
args_str = json.dumps(parsed_args, ensure_ascii=False)
except json.JSONDecodeError:
pass # Keep raw if parsing fails
tool_calls.append(
ChatCompletionMessageToolCall(
id=_generate_mistral_id(),
@@ -103,14 +100,13 @@ class MistralToolCallParser(ToolCallParser):
)
)
except json.JSONDecodeError:
# Fallback: extract JSON objects using raw_decode
decoder = json.JSONDecoder()
idx = 0
while idx < len(first_raw):
try:
obj, end_idx = decoder.raw_decode(first_raw, idx)
if isinstance(obj, dict) and "name" in obj:
args = obj.get("arguments", {})
# Fallback regex extraction
match = self.TOOL_CALL_REGEX.findall(first_raw)
if match:
for raw_json in match:
try:
tc = json.loads(raw_json)
args = tc.get("arguments", {})
if isinstance(args, dict):
args = json.dumps(args, ensure_ascii=False)
tool_calls.append(
@@ -118,13 +114,12 @@ class MistralToolCallParser(ToolCallParser):
id=_generate_mistral_id(),
type="function",
function=Function(
name=obj["name"], arguments=args
name=tc["name"], arguments=args
),
)
)
idx = end_idx
except json.JSONDecodeError:
idx += 1
except (json.JSONDecodeError, KeyError):
continue
if not tool_calls:
return text, None

181
flake.lock generated
View File

@@ -1,181 +0,0 @@
{
"nodes": {
"flake-parts": {
"inputs": {
"nixpkgs-lib": [
"nixpkgs"
]
},
"locked": {
"lastModified": 1772408722,
"narHash": "sha256-rHuJtdcOjK7rAHpHphUb1iCvgkU3GpfvicLMwwnfMT0=",
"owner": "hercules-ci",
"repo": "flake-parts",
"rev": "f20dc5d9b8027381c474144ecabc9034d6a839a3",
"type": "github"
},
"original": {
"owner": "hercules-ci",
"repo": "flake-parts",
"type": "github"
}
},
"nixpkgs": {
"locked": {
"lastModified": 1751274312,
"narHash": "sha256-/bVBlRpECLVzjV19t5KMdMFWSwKLtb5RyXdjz3LJT+g=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "50ab793786d9de88ee30ec4e4c24fb4236fc2674",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixos-24.11",
"repo": "nixpkgs",
"type": "github"
}
},
"pyproject-build-systems": {
"inputs": {
"nixpkgs": [
"nixpkgs"
],
"pyproject-nix": "pyproject-nix",
"uv2nix": "uv2nix"
},
"locked": {
"lastModified": 1772555609,
"narHash": "sha256-3BA3HnUvJSbHJAlJj6XSy0Jmu7RyP2gyB/0fL7XuEDo=",
"owner": "pyproject-nix",
"repo": "build-system-pkgs",
"rev": "c37f66a953535c394244888598947679af231863",
"type": "github"
},
"original": {
"owner": "pyproject-nix",
"repo": "build-system-pkgs",
"type": "github"
}
},
"pyproject-nix": {
"inputs": {
"nixpkgs": [
"pyproject-build-systems",
"nixpkgs"
]
},
"locked": {
"lastModified": 1769936401,
"narHash": "sha256-kwCOegKLZJM9v/e/7cqwg1p/YjjTAukKPqmxKnAZRgA=",
"owner": "nix-community",
"repo": "pyproject.nix",
"rev": "b0d513eeeebed6d45b4f2e874f9afba2021f7812",
"type": "github"
},
"original": {
"owner": "nix-community",
"repo": "pyproject.nix",
"type": "github"
}
},
"pyproject-nix_2": {
"inputs": {
"nixpkgs": [
"nixpkgs"
]
},
"locked": {
"lastModified": 1772865871,
"narHash": "sha256-/ZTSg97aouL0SlPHaokA4r3iuH9QzHVuWPACD2CUCFY=",
"owner": "pyproject-nix",
"repo": "pyproject.nix",
"rev": "e537db02e72d553cea470976b9733581bcf5b3ed",
"type": "github"
},
"original": {
"owner": "pyproject-nix",
"repo": "pyproject.nix",
"type": "github"
}
},
"pyproject-nix_3": {
"inputs": {
"nixpkgs": [
"uv2nix",
"nixpkgs"
]
},
"locked": {
"lastModified": 1771518446,
"narHash": "sha256-nFJSfD89vWTu92KyuJWDoTQJuoDuddkJV3TlOl1cOic=",
"owner": "pyproject-nix",
"repo": "pyproject.nix",
"rev": "eb204c6b3335698dec6c7fc1da0ebc3c6df05937",
"type": "github"
},
"original": {
"owner": "pyproject-nix",
"repo": "pyproject.nix",
"type": "github"
}
},
"root": {
"inputs": {
"flake-parts": "flake-parts",
"nixpkgs": "nixpkgs",
"pyproject-build-systems": "pyproject-build-systems",
"pyproject-nix": "pyproject-nix_2",
"uv2nix": "uv2nix_2"
}
},
"uv2nix": {
"inputs": {
"nixpkgs": [
"pyproject-build-systems",
"nixpkgs"
],
"pyproject-nix": [
"pyproject-build-systems",
"pyproject-nix"
]
},
"locked": {
"lastModified": 1770770348,
"narHash": "sha256-A2GzkmzdYvdgmMEu5yxW+xhossP+txrYb7RuzRaqhlg=",
"owner": "pyproject-nix",
"repo": "uv2nix",
"rev": "5d1b2cb4fe3158043fbafbbe2e46238abbc954b0",
"type": "github"
},
"original": {
"owner": "pyproject-nix",
"repo": "uv2nix",
"type": "github"
}
},
"uv2nix_2": {
"inputs": {
"nixpkgs": [
"nixpkgs"
],
"pyproject-nix": "pyproject-nix_3"
},
"locked": {
"lastModified": 1773039484,
"narHash": "sha256-+boo33KYkJDw9KItpeEXXv8+65f7hHv/earxpcyzQ0I=",
"owner": "pyproject-nix",
"repo": "uv2nix",
"rev": "b68be7cfeacbed9a3fa38a2b5adc0cfb81d9bb1f",
"type": "github"
},
"original": {
"owner": "pyproject-nix",
"repo": "uv2nix",
"type": "github"
}
}
},
"root": "root",
"version": 7
}

View File

@@ -1,35 +0,0 @@
{
description = "Hermes Agent - AI agent framework by Nous Research";
inputs = {
nixpkgs.url = "github:NixOS/nixpkgs/nixos-24.11";
flake-parts = {
url = "github:hercules-ci/flake-parts";
inputs.nixpkgs-lib.follows = "nixpkgs";
};
pyproject-nix = {
url = "github:pyproject-nix/pyproject.nix";
inputs.nixpkgs.follows = "nixpkgs";
};
uv2nix = {
url = "github:pyproject-nix/uv2nix";
inputs.nixpkgs.follows = "nixpkgs";
};
pyproject-build-systems = {
url = "github:pyproject-nix/build-system-pkgs";
inputs.nixpkgs.follows = "nixpkgs";
};
};
outputs = inputs:
inputs.flake-parts.lib.mkFlake { inherit inputs; } {
systems = [ "x86_64-linux" "aarch64-linux" "aarch64-darwin" ];
imports = [
./nix/packages.nix
./nix/nixosModules.nix
./nix/checks.nix
./nix/devShell.nix
];
};
}

View File

@@ -1 +0,0 @@
"""Built-in gateway hooks that are always registered."""

View File

@@ -1,86 +0,0 @@
"""Built-in boot-md hook — run ~/.hermes/BOOT.md on gateway startup.
This hook is always registered. It silently skips if no BOOT.md exists.
To activate, create ``~/.hermes/BOOT.md`` with instructions for the
agent to execute on every gateway restart.
Example BOOT.md::
# Startup Checklist
1. Check if any cron jobs failed overnight
2. Send a status update to Discord #general
3. If there are errors in /opt/app/deploy.log, summarize them
The agent runs in a background thread so it doesn't block gateway
startup. If nothing needs attention, it replies with [SILENT] to
suppress delivery.
"""
import logging
import os
import threading
from pathlib import Path
logger = logging.getLogger("hooks.boot-md")
HERMES_HOME = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
BOOT_FILE = HERMES_HOME / "BOOT.md"
def _build_boot_prompt(content: str) -> str:
"""Wrap BOOT.md content in a system-level instruction."""
return (
"You are running a startup boot checklist. Follow the BOOT.md "
"instructions below exactly.\n\n"
"---\n"
f"{content}\n"
"---\n\n"
"Execute each instruction. If you need to send a message to a "
"platform, use the send_message tool.\n"
"If nothing needs attention and there is nothing to report, "
"reply with ONLY: [SILENT]"
)
def _run_boot_agent(content: str) -> None:
"""Spawn a one-shot agent session to execute the boot instructions."""
try:
from run_agent import AIAgent
prompt = _build_boot_prompt(content)
agent = AIAgent(
quiet_mode=True,
skip_context_files=True,
skip_memory=True,
max_iterations=20,
)
result = agent.run_conversation(prompt)
response = result.get("final_response", "")
if response and "[SILENT]" not in response:
logger.info("boot-md completed: %s", response[:200])
else:
logger.info("boot-md completed (nothing to report)")
except Exception as e:
logger.error("boot-md agent failed: %s", e)
async def handle(event_type: str, context: dict) -> None:
"""Gateway startup handler — run BOOT.md if it exists."""
if not BOOT_FILE.exists():
return
content = BOOT_FILE.read_text(encoding="utf-8").strip()
if not content:
return
logger.info("Running BOOT.md (%d chars)", len(content))
# Run in a background thread so we don't block gateway startup.
thread = threading.Thread(
target=_run_boot_agent,
args=(content,),
name="boot-md",
daemon=True,
)
thread.start()

View File

@@ -9,6 +9,7 @@ action="list" and for resolving human-friendly channel names to numeric IDs.
import json
import logging
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, List, Optional
from hermes_cli.config import get_hermes_home
@@ -62,7 +63,7 @@ def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
logger.warning("Channel directory: failed to build %s: %s", platform.value, e)
# Telegram, WhatsApp & Signal can't enumerate chats -- pull from session history
for plat_name in ("telegram", "whatsapp", "signal", "email", "sms"):
for plat_name in ("telegram", "whatsapp", "signal", "email"):
if plat_name not in platforms:
platforms[plat_name] = _build_from_sessions(plat_name)
@@ -89,7 +90,7 @@ def _build_discord(adapter) -> List[Dict[str, str]]:
return channels
try:
import discord as _discord # noqa: F401 — SDK presence check
import discord as _discord
except ImportError:
return channels
@@ -118,6 +119,7 @@ def _build_slack(adapter) -> List[Dict[str, str]]:
return _build_from_sessions("slack")
try:
import asyncio
from tools.send_message_tool import _send_slack # noqa: F401
# Use the Slack Web API directly if available
except Exception:

View File

@@ -32,15 +32,6 @@ def _coerce_bool(value: Any, default: bool = True) -> bool:
return bool(value)
def _normalize_unauthorized_dm_behavior(value: Any, default: str = "pair") -> str:
"""Normalize unauthorized DM behavior to a supported value."""
if isinstance(value, str):
normalized = value.strip().lower()
if normalized in {"pair", "ignore"}:
return normalized
return default
class Platform(Enum):
"""Supported messaging platforms."""
LOCAL = "local"
@@ -49,16 +40,8 @@ class Platform(Enum):
WHATSAPP = "whatsapp"
SLACK = "slack"
SIGNAL = "signal"
MATTERMOST = "mattermost"
MATRIX = "matrix"
HOMEASSISTANT = "homeassistant"
EMAIL = "email"
SMS = "sms"
DINGTALK = "dingtalk"
API_SERVER = "api_server"
WEBHOOK = "webhook"
FEISHU = "feishu"
WECOM = "wecom"
@dataclass
@@ -103,32 +86,23 @@ class SessionResetPolicy:
mode: str = "both" # "daily", "idle", "both", or "none"
at_hour: int = 4 # Hour for daily reset (0-23, local time)
idle_minutes: int = 1440 # Minutes of inactivity before reset (24 hours)
notify: bool = True # Send a notification to the user when auto-reset occurs
notify_exclude_platforms: tuple = ("api_server", "webhook") # Platforms that don't get reset notifications
def to_dict(self) -> Dict[str, Any]:
return {
"mode": self.mode,
"at_hour": self.at_hour,
"idle_minutes": self.idle_minutes,
"notify": self.notify,
"notify_exclude_platforms": list(self.notify_exclude_platforms),
}
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> "SessionResetPolicy":
# Handle both missing keys and explicit null values (YAML null → None)
mode = data.get("mode")
at_hour = data.get("at_hour")
idle_minutes = data.get("idle_minutes")
notify = data.get("notify")
exclude = data.get("notify_exclude_platforms")
return cls(
mode=mode if mode is not None else "both",
mode=data.get("mode", "both"),
at_hour=at_hour if at_hour is not None else 4,
idle_minutes=idle_minutes if idle_minutes is not None else 1440,
notify=notify if notify is not None else True,
notify_exclude_platforms=tuple(exclude) if exclude is not None else ("api_server", "webhook"),
)
@@ -140,12 +114,6 @@ class PlatformConfig:
api_key: Optional[str] = None # API key if different from token
home_channel: Optional[HomeChannel] = None
# Reply threading mode (Telegram/Slack)
# - "off": Never thread replies to original message
# - "first": Only first chunk threads to user's message (default)
# - "all": All chunks in multi-part replies thread to user's message
reply_to_mode: str = "first"
# Platform-specific settings
extra: Dict[str, Any] = field(default_factory=dict)
@@ -153,7 +121,6 @@ class PlatformConfig:
result = {
"enabled": self.enabled,
"extra": self.extra,
"reply_to_mode": self.reply_to_mode,
}
if self.token:
result["token"] = self.token
@@ -174,42 +141,10 @@ class PlatformConfig:
token=data.get("token"),
api_key=data.get("api_key"),
home_channel=home_channel,
reply_to_mode=data.get("reply_to_mode", "first"),
extra=data.get("extra", {}),
)
@dataclass
class StreamingConfig:
"""Configuration for real-time token streaming to messaging platforms."""
enabled: bool = False
transport: str = "edit" # "edit" (progressive editMessageText) or "off"
edit_interval: float = 0.3 # Seconds between message edits
buffer_threshold: int = 40 # Chars before forcing an edit
cursor: str = "" # Cursor shown during streaming
def to_dict(self) -> Dict[str, Any]:
return {
"enabled": self.enabled,
"transport": self.transport,
"edit_interval": self.edit_interval,
"buffer_threshold": self.buffer_threshold,
"cursor": self.cursor,
}
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> "StreamingConfig":
if not data:
return cls()
return cls(
enabled=data.get("enabled", False),
transport=data.get("transport", "edit"),
edit_interval=float(data.get("edit_interval", 0.3)),
buffer_threshold=int(data.get("buffer_threshold", 40)),
cursor=data.get("cursor", ""),
)
@dataclass
class GatewayConfig:
"""
@@ -239,16 +174,7 @@ class GatewayConfig:
# STT settings
stt_enabled: bool = True # Whether to auto-transcribe inbound voice messages
# Session isolation in shared chats
group_sessions_per_user: bool = True # Isolate group/channel sessions per participant when user IDs are available
# Unauthorized DM policy
unauthorized_dm_behavior: str = "pair" # "pair" or "ignore"
# Streaming configuration
streaming: StreamingConfig = field(default_factory=StreamingConfig)
def get_connected_platforms(self) -> List[Platform]:
"""Return list of platforms that are enabled and configured."""
connected = []
@@ -267,21 +193,6 @@ class GatewayConfig:
# Email uses extra dict for config (address + imap_host + smtp_host)
elif platform == Platform.EMAIL and config.extra.get("address"):
connected.append(platform)
# SMS uses api_key (Twilio auth token) — SID checked via env
elif platform == Platform.SMS and os.getenv("TWILIO_ACCOUNT_SID"):
connected.append(platform)
# API Server uses enabled flag only (no token needed)
elif platform == Platform.API_SERVER:
connected.append(platform)
# Webhook uses enabled flag only (secrets are per-route)
elif platform == Platform.WEBHOOK:
connected.append(platform)
# Feishu uses extra dict for app credentials
elif platform == Platform.FEISHU and config.extra.get("app_id"):
connected.append(platform)
# WeCom uses extra dict for bot credentials
elif platform == Platform.WECOM and config.extra.get("bot_id"):
connected.append(platform)
return connected
def get_home_channel(self, platform: Platform) -> Optional[HomeChannel]:
@@ -328,9 +239,6 @@ class GatewayConfig:
"sessions_dir": str(self.sessions_dir),
"always_log_local": self.always_log_local,
"stt_enabled": self.stt_enabled,
"group_sessions_per_user": self.group_sessions_per_user,
"unauthorized_dm_behavior": self.unauthorized_dm_behavior,
"streaming": self.streaming.to_dict(),
}
@classmethod
@@ -371,12 +279,6 @@ class GatewayConfig:
if stt_enabled is None:
stt_enabled = data.get("stt", {}).get("enabled") if isinstance(data.get("stt"), dict) else None
group_sessions_per_user = data.get("group_sessions_per_user")
unauthorized_dm_behavior = _normalize_unauthorized_dm_behavior(
data.get("unauthorized_dm_behavior"),
"pair",
)
return cls(
platforms=platforms,
default_reset_policy=default_policy,
@@ -387,151 +289,63 @@ class GatewayConfig:
sessions_dir=sessions_dir,
always_log_local=data.get("always_log_local", True),
stt_enabled=_coerce_bool(stt_enabled, True),
group_sessions_per_user=_coerce_bool(group_sessions_per_user, True),
unauthorized_dm_behavior=unauthorized_dm_behavior,
streaming=StreamingConfig.from_dict(data.get("streaming", {})),
)
def get_unauthorized_dm_behavior(self, platform: Optional[Platform] = None) -> str:
"""Return the effective unauthorized-DM behavior for a platform."""
if platform:
platform_cfg = self.platforms.get(platform)
if platform_cfg and "unauthorized_dm_behavior" in platform_cfg.extra:
return _normalize_unauthorized_dm_behavior(
platform_cfg.extra.get("unauthorized_dm_behavior"),
self.unauthorized_dm_behavior,
)
return self.unauthorized_dm_behavior
def load_gateway_config() -> GatewayConfig:
"""
Load gateway configuration from multiple sources.
Priority (highest to lowest):
1. Environment variables
2. ~/.hermes/config.yaml (primary user-facing config)
3. ~/.hermes/gateway.json (legacy — provides defaults under config.yaml)
4. Built-in defaults
2. ~/.hermes/gateway.json
3. cli-config.yaml gateway section
4. Defaults
"""
config = GatewayConfig()
# Try loading from ~/.hermes/gateway.json
_home = get_hermes_home()
gw_data: dict = {}
# Legacy fallback: gateway.json provides the base layer.
# config.yaml keys always win when both specify the same setting.
gateway_json_path = _home / "gateway.json"
if gateway_json_path.exists():
gateway_config_path = _home / "gateway.json"
if gateway_config_path.exists():
try:
with open(gateway_json_path, "r", encoding="utf-8") as f:
gw_data = json.load(f) or {}
logger.info(
"Loaded legacy %s — consider moving settings to config.yaml",
gateway_json_path,
)
with open(gateway_config_path, "r", encoding="utf-8") as f:
data = json.load(f)
config = GatewayConfig.from_dict(data)
except Exception as e:
logger.warning("Failed to load %s: %s", gateway_json_path, e)
print(f"[gateway] Warning: Failed to load {gateway_config_path}: {e}")
# Primary source: config.yaml
# Bridge session_reset from config.yaml (the user-facing config file)
# into the gateway config. config.yaml takes precedence over gateway.json
# for session reset policy since that's where hermes setup writes it.
try:
import yaml
config_yaml_path = _home / "config.yaml"
if config_yaml_path.exists():
with open(config_yaml_path, encoding="utf-8") as f:
yaml_cfg = yaml.safe_load(f) or {}
# Map config.yaml keys → GatewayConfig.from_dict() schema.
# Each key overwrites whatever gateway.json may have set.
sr = yaml_cfg.get("session_reset")
if sr and isinstance(sr, dict):
gw_data["default_reset_policy"] = sr
config.default_reset_policy = SessionResetPolicy.from_dict(sr)
# Bridge quick commands from config.yaml into gateway runtime config.
# config.yaml is the user-facing config source, so when present it
# should override gateway.json for this setting.
qc = yaml_cfg.get("quick_commands")
if qc is not None:
if isinstance(qc, dict):
gw_data["quick_commands"] = qc
config.quick_commands = qc
else:
logger.warning(
"Ignoring invalid quick_commands in config.yaml "
"(expected mapping, got %s)",
type(qc).__name__,
)
logger.warning("Ignoring invalid quick_commands in config.yaml (expected mapping, got %s)", type(qc).__name__)
# Bridge STT enable/disable from config.yaml into gateway runtime.
# This keeps the gateway aligned with the user-facing config source.
stt_cfg = yaml_cfg.get("stt")
if isinstance(stt_cfg, dict):
gw_data["stt"] = stt_cfg
if isinstance(stt_cfg, dict) and "enabled" in stt_cfg:
config.stt_enabled = _coerce_bool(stt_cfg.get("enabled"), True)
if "group_sessions_per_user" in yaml_cfg:
gw_data["group_sessions_per_user"] = yaml_cfg["group_sessions_per_user"]
streaming_cfg = yaml_cfg.get("streaming")
if isinstance(streaming_cfg, dict):
gw_data["streaming"] = streaming_cfg
if "reset_triggers" in yaml_cfg:
gw_data["reset_triggers"] = yaml_cfg["reset_triggers"]
if "always_log_local" in yaml_cfg:
gw_data["always_log_local"] = yaml_cfg["always_log_local"]
if "unauthorized_dm_behavior" in yaml_cfg:
gw_data["unauthorized_dm_behavior"] = _normalize_unauthorized_dm_behavior(
yaml_cfg.get("unauthorized_dm_behavior"),
"pair",
)
# Merge platforms section from config.yaml into gw_data so that
# nested keys like platforms.webhook.extra.routes are loaded.
yaml_platforms = yaml_cfg.get("platforms")
platforms_data = gw_data.setdefault("platforms", {})
if not isinstance(platforms_data, dict):
platforms_data = {}
gw_data["platforms"] = platforms_data
if isinstance(yaml_platforms, dict):
for plat_name, plat_block in yaml_platforms.items():
if not isinstance(plat_block, dict):
continue
existing = platforms_data.get(plat_name, {})
if not isinstance(existing, dict):
existing = {}
# Deep-merge extra dicts so gateway.json defaults survive
merged_extra = {**existing.get("extra", {}), **plat_block.get("extra", {})}
merged = {**existing, **plat_block}
if merged_extra:
merged["extra"] = merged_extra
platforms_data[plat_name] = merged
gw_data["platforms"] = platforms_data
for plat in Platform:
if plat == Platform.LOCAL:
continue
platform_cfg = yaml_cfg.get(plat.value)
if not isinstance(platform_cfg, dict):
continue
# Collect bridgeable keys from this platform section
bridged = {}
if "unauthorized_dm_behavior" in platform_cfg:
bridged["unauthorized_dm_behavior"] = _normalize_unauthorized_dm_behavior(
platform_cfg.get("unauthorized_dm_behavior"),
gw_data.get("unauthorized_dm_behavior", "pair"),
)
if "reply_prefix" in platform_cfg:
bridged["reply_prefix"] = platform_cfg["reply_prefix"]
if "require_mention" in platform_cfg:
bridged["require_mention"] = platform_cfg["require_mention"]
if "mention_patterns" in platform_cfg:
bridged["mention_patterns"] = platform_cfg["mention_patterns"]
if not bridged:
continue
plat_data = platforms_data.setdefault(plat.value, {})
if not isinstance(plat_data, dict):
plat_data = {}
platforms_data[plat.value] = plat_data
extra = plat_data.setdefault("extra", {})
if not isinstance(extra, dict):
extra = {}
plat_data["extra"] = extra
extra.update(bridged)
# Discord settings → env vars (env vars take precedence)
# Bridge discord settings from config.yaml to env vars
# (env vars take precedence — only set if not already defined)
discord_cfg = yaml_cfg.get("discord", {})
if isinstance(discord_cfg, dict):
if "require_mention" in discord_cfg and not os.getenv("DISCORD_REQUIRE_MENTION"):
@@ -543,29 +357,8 @@ def load_gateway_config() -> GatewayConfig:
os.environ["DISCORD_FREE_RESPONSE_CHANNELS"] = str(frc)
if "auto_thread" in discord_cfg and not os.getenv("DISCORD_AUTO_THREAD"):
os.environ["DISCORD_AUTO_THREAD"] = str(discord_cfg["auto_thread"]).lower()
# Telegram settings → env vars (env vars take precedence)
telegram_cfg = yaml_cfg.get("telegram", {})
if isinstance(telegram_cfg, dict):
if "require_mention" in telegram_cfg and not os.getenv("TELEGRAM_REQUIRE_MENTION"):
os.environ["TELEGRAM_REQUIRE_MENTION"] = str(telegram_cfg["require_mention"]).lower()
if "mention_patterns" in telegram_cfg and not os.getenv("TELEGRAM_MENTION_PATTERNS"):
import json as _json
os.environ["TELEGRAM_MENTION_PATTERNS"] = _json.dumps(telegram_cfg["mention_patterns"])
frc = telegram_cfg.get("free_response_chats")
if frc is not None and not os.getenv("TELEGRAM_FREE_RESPONSE_CHATS"):
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["TELEGRAM_FREE_RESPONSE_CHATS"] = str(frc)
except Exception as e:
logger.warning(
"Failed to process config.yaml — falling back to .env / gateway.json values. "
"Check %s for syntax errors. Error: %s",
_home / "config.yaml",
e,
)
config = GatewayConfig.from_dict(gw_data)
except Exception:
pass
# Override with environment variables
_apply_env_overrides(config)
@@ -592,8 +385,6 @@ def load_gateway_config() -> GatewayConfig:
Platform.TELEGRAM: "TELEGRAM_BOT_TOKEN",
Platform.DISCORD: "DISCORD_BOT_TOKEN",
Platform.SLACK: "SLACK_BOT_TOKEN",
Platform.MATTERMOST: "MATTERMOST_TOKEN",
Platform.MATRIX: "MATRIX_ACCESS_TOKEN",
}
for platform, pconfig in config.platforms.items():
if not pconfig.enabled:
@@ -620,21 +411,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.TELEGRAM].enabled = True
config.platforms[Platform.TELEGRAM].token = telegram_token
# Reply threading mode for Telegram (off/first/all)
telegram_reply_mode = os.getenv("TELEGRAM_REPLY_TO_MODE", "").lower()
if telegram_reply_mode in ("off", "first", "all"):
if Platform.TELEGRAM not in config.platforms:
config.platforms[Platform.TELEGRAM] = PlatformConfig()
config.platforms[Platform.TELEGRAM].reply_to_mode = telegram_reply_mode
telegram_fallback_ips = os.getenv("TELEGRAM_FALLBACK_IPS", "")
if telegram_fallback_ips:
if Platform.TELEGRAM not in config.platforms:
config.platforms[Platform.TELEGRAM] = PlatformConfig()
config.platforms[Platform.TELEGRAM].extra["fallback_ips"] = [
ip.strip() for ip in telegram_fallback_ips.split(",") if ip.strip()
]
telegram_home = os.getenv("TELEGRAM_HOME_CHANNEL")
if telegram_home and Platform.TELEGRAM in config.platforms:
config.platforms[Platform.TELEGRAM].home_channel = HomeChannel(
@@ -673,13 +449,14 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.SLACK] = PlatformConfig()
config.platforms[Platform.SLACK].enabled = True
config.platforms[Platform.SLACK].token = slack_token
slack_home = os.getenv("SLACK_HOME_CHANNEL")
if slack_home and Platform.SLACK in config.platforms:
config.platforms[Platform.SLACK].home_channel = HomeChannel(
platform=Platform.SLACK,
chat_id=slack_home,
name=os.getenv("SLACK_HOME_CHANNEL_NAME", ""),
)
# Home channel
slack_home = os.getenv("SLACK_HOME_CHANNEL")
if slack_home:
config.platforms[Platform.SLACK].home_channel = HomeChannel(
platform=Platform.SLACK,
chat_id=slack_home,
name=os.getenv("SLACK_HOME_CHANNEL_NAME", ""),
)
# Signal
signal_url = os.getenv("SIGNAL_HTTP_URL")
@@ -693,60 +470,13 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
"account": signal_account,
"ignore_stories": os.getenv("SIGNAL_IGNORE_STORIES", "true").lower() in ("true", "1", "yes"),
})
signal_home = os.getenv("SIGNAL_HOME_CHANNEL")
if signal_home and Platform.SIGNAL in config.platforms:
config.platforms[Platform.SIGNAL].home_channel = HomeChannel(
platform=Platform.SIGNAL,
chat_id=signal_home,
name=os.getenv("SIGNAL_HOME_CHANNEL_NAME", "Home"),
)
# Mattermost
mattermost_token = os.getenv("MATTERMOST_TOKEN")
if mattermost_token:
mattermost_url = os.getenv("MATTERMOST_URL", "")
if not mattermost_url:
logger.warning("MATTERMOST_TOKEN set but MATTERMOST_URL is missing")
if Platform.MATTERMOST not in config.platforms:
config.platforms[Platform.MATTERMOST] = PlatformConfig()
config.platforms[Platform.MATTERMOST].enabled = True
config.platforms[Platform.MATTERMOST].token = mattermost_token
config.platforms[Platform.MATTERMOST].extra["url"] = mattermost_url
mattermost_home = os.getenv("MATTERMOST_HOME_CHANNEL")
if mattermost_home and Platform.MATTERMOST in config.platforms:
config.platforms[Platform.MATTERMOST].home_channel = HomeChannel(
platform=Platform.MATTERMOST,
chat_id=mattermost_home,
name=os.getenv("MATTERMOST_HOME_CHANNEL_NAME", "Home"),
)
# Matrix
matrix_token = os.getenv("MATRIX_ACCESS_TOKEN")
matrix_homeserver = os.getenv("MATRIX_HOMESERVER", "")
if matrix_token or os.getenv("MATRIX_PASSWORD"):
if not matrix_homeserver:
logger.warning("MATRIX_ACCESS_TOKEN/MATRIX_PASSWORD set but MATRIX_HOMESERVER is missing")
if Platform.MATRIX not in config.platforms:
config.platforms[Platform.MATRIX] = PlatformConfig()
config.platforms[Platform.MATRIX].enabled = True
if matrix_token:
config.platforms[Platform.MATRIX].token = matrix_token
config.platforms[Platform.MATRIX].extra["homeserver"] = matrix_homeserver
matrix_user = os.getenv("MATRIX_USER_ID", "")
if matrix_user:
config.platforms[Platform.MATRIX].extra["user_id"] = matrix_user
matrix_password = os.getenv("MATRIX_PASSWORD", "")
if matrix_password:
config.platforms[Platform.MATRIX].extra["password"] = matrix_password
matrix_e2ee = os.getenv("MATRIX_ENCRYPTION", "").lower() in ("true", "1", "yes")
config.platforms[Platform.MATRIX].extra["encryption"] = matrix_e2ee
matrix_home = os.getenv("MATRIX_HOME_ROOM")
if matrix_home and Platform.MATRIX in config.platforms:
config.platforms[Platform.MATRIX].home_channel = HomeChannel(
platform=Platform.MATRIX,
chat_id=matrix_home,
name=os.getenv("MATRIX_HOME_ROOM_NAME", "Home"),
)
signal_home = os.getenv("SIGNAL_HOME_CHANNEL")
if signal_home:
config.platforms[Platform.SIGNAL].home_channel = HomeChannel(
platform=Platform.SIGNAL,
chat_id=signal_home,
name=os.getenv("SIGNAL_HOME_CHANNEL_NAME", "Home"),
)
# Home Assistant
hass_token = os.getenv("HASS_TOKEN")
@@ -773,116 +503,12 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
"imap_host": email_imap,
"smtp_host": email_smtp,
})
email_home = os.getenv("EMAIL_HOME_ADDRESS")
if email_home and Platform.EMAIL in config.platforms:
config.platforms[Platform.EMAIL].home_channel = HomeChannel(
platform=Platform.EMAIL,
chat_id=email_home,
name=os.getenv("EMAIL_HOME_ADDRESS_NAME", "Home"),
)
# SMS (Twilio)
twilio_sid = os.getenv("TWILIO_ACCOUNT_SID")
if twilio_sid:
if Platform.SMS not in config.platforms:
config.platforms[Platform.SMS] = PlatformConfig()
config.platforms[Platform.SMS].enabled = True
config.platforms[Platform.SMS].api_key = os.getenv("TWILIO_AUTH_TOKEN", "")
sms_home = os.getenv("SMS_HOME_CHANNEL")
if sms_home and Platform.SMS in config.platforms:
config.platforms[Platform.SMS].home_channel = HomeChannel(
platform=Platform.SMS,
chat_id=sms_home,
name=os.getenv("SMS_HOME_CHANNEL_NAME", "Home"),
)
# API Server
api_server_enabled = os.getenv("API_SERVER_ENABLED", "").lower() in ("true", "1", "yes")
api_server_key = os.getenv("API_SERVER_KEY", "")
api_server_cors_origins = os.getenv("API_SERVER_CORS_ORIGINS", "")
api_server_port = os.getenv("API_SERVER_PORT")
api_server_host = os.getenv("API_SERVER_HOST")
if api_server_enabled or api_server_key:
if Platform.API_SERVER not in config.platforms:
config.platforms[Platform.API_SERVER] = PlatformConfig()
config.platforms[Platform.API_SERVER].enabled = True
if api_server_key:
config.platforms[Platform.API_SERVER].extra["key"] = api_server_key
if api_server_cors_origins:
origins = [origin.strip() for origin in api_server_cors_origins.split(",") if origin.strip()]
if origins:
config.platforms[Platform.API_SERVER].extra["cors_origins"] = origins
if api_server_port:
try:
config.platforms[Platform.API_SERVER].extra["port"] = int(api_server_port)
except ValueError:
pass
if api_server_host:
config.platforms[Platform.API_SERVER].extra["host"] = api_server_host
# Webhook platform
webhook_enabled = os.getenv("WEBHOOK_ENABLED", "").lower() in ("true", "1", "yes")
webhook_port = os.getenv("WEBHOOK_PORT")
webhook_secret = os.getenv("WEBHOOK_SECRET", "")
if webhook_enabled:
if Platform.WEBHOOK not in config.platforms:
config.platforms[Platform.WEBHOOK] = PlatformConfig()
config.platforms[Platform.WEBHOOK].enabled = True
if webhook_port:
try:
config.platforms[Platform.WEBHOOK].extra["port"] = int(webhook_port)
except ValueError:
pass
if webhook_secret:
config.platforms[Platform.WEBHOOK].extra["secret"] = webhook_secret
# Feishu / Lark
feishu_app_id = os.getenv("FEISHU_APP_ID")
feishu_app_secret = os.getenv("FEISHU_APP_SECRET")
if feishu_app_id and feishu_app_secret:
if Platform.FEISHU not in config.platforms:
config.platforms[Platform.FEISHU] = PlatformConfig()
config.platforms[Platform.FEISHU].enabled = True
config.platforms[Platform.FEISHU].extra.update({
"app_id": feishu_app_id,
"app_secret": feishu_app_secret,
"domain": os.getenv("FEISHU_DOMAIN", "feishu"),
"connection_mode": os.getenv("FEISHU_CONNECTION_MODE", "websocket"),
})
feishu_encrypt_key = os.getenv("FEISHU_ENCRYPT_KEY", "")
if feishu_encrypt_key:
config.platforms[Platform.FEISHU].extra["encrypt_key"] = feishu_encrypt_key
feishu_verification_token = os.getenv("FEISHU_VERIFICATION_TOKEN", "")
if feishu_verification_token:
config.platforms[Platform.FEISHU].extra["verification_token"] = feishu_verification_token
feishu_home = os.getenv("FEISHU_HOME_CHANNEL")
if feishu_home:
config.platforms[Platform.FEISHU].home_channel = HomeChannel(
platform=Platform.FEISHU,
chat_id=feishu_home,
name=os.getenv("FEISHU_HOME_CHANNEL_NAME", "Home"),
)
# WeCom (Enterprise WeChat)
wecom_bot_id = os.getenv("WECOM_BOT_ID")
wecom_secret = os.getenv("WECOM_SECRET")
if wecom_bot_id and wecom_secret:
if Platform.WECOM not in config.platforms:
config.platforms[Platform.WECOM] = PlatformConfig()
config.platforms[Platform.WECOM].enabled = True
config.platforms[Platform.WECOM].extra.update({
"bot_id": wecom_bot_id,
"secret": wecom_secret,
})
wecom_ws_url = os.getenv("WECOM_WEBSOCKET_URL", "")
if wecom_ws_url:
config.platforms[Platform.WECOM].extra["websocket_url"] = wecom_ws_url
wecom_home = os.getenv("WECOM_HOME_CHANNEL")
if wecom_home:
config.platforms[Platform.WECOM].home_channel = HomeChannel(
platform=Platform.WECOM,
chat_id=wecom_home,
name=os.getenv("WECOM_HOME_CHANNEL_NAME", "Home"),
email_home = os.getenv("EMAIL_HOME_ADDRESS")
if email_home:
config.platforms[Platform.EMAIL].home_channel = HomeChannel(
platform=Platform.EMAIL,
chat_id=email_home,
name=os.getenv("EMAIL_HOME_ADDRESS_NAME", "Home"),
)
# Session settings
@@ -901,3 +527,10 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
pass
def save_gateway_config(config: GatewayConfig) -> None:
"""Save gateway configuration to ~/.hermes/gateway.json."""
gateway_config_path = get_hermes_home() / "gateway.json"
gateway_config_path.parent.mkdir(parents=True, exist_ok=True)
with open(gateway_config_path, "w", encoding="utf-8") as f:
json.dump(config.to_dict(), f, indent=2)

View File

@@ -13,6 +13,7 @@ from pathlib import Path
from datetime import datetime
from dataclasses import dataclass
from typing import Dict, List, Optional, Any, Union
from enum import Enum
from hermes_cli.config import get_hermes_home

View File

@@ -8,9 +8,8 @@ Hooks are discovered from ~/.hermes/hooks/ directories, each containing:
Events:
- gateway:startup -- Gateway process starts
- session:start -- New session created (first message of a new session)
- session:end -- Session ends (user ran /new or /reset)
- session:reset -- Session reset completed (new session entry created)
- session:start -- New session created
- session:reset -- User ran /new or /reset
- agent:start -- Agent begins processing a message
- agent:step -- Each turn in the tool-calling loop
- agent:end -- Agent finishes processing
@@ -21,6 +20,8 @@ Errors in hooks are caught and logged but never block the main pipeline.
import asyncio
import importlib.util
import os
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional
import yaml
@@ -51,33 +52,14 @@ class HookRegistry:
"""Return metadata about all loaded hooks."""
return list(self._loaded_hooks)
def _register_builtin_hooks(self) -> None:
"""Register built-in hooks that are always active."""
try:
from gateway.builtin_hooks.boot_md import handle as boot_md_handle
self._handlers.setdefault("gateway:startup", []).append(boot_md_handle)
self._loaded_hooks.append({
"name": "boot-md",
"description": "Run ~/.hermes/BOOT.md on gateway startup",
"events": ["gateway:startup"],
"path": "(builtin)",
})
except Exception as e:
print(f"[hooks] Could not load built-in boot-md hook: {e}", flush=True)
def discover_and_load(self) -> None:
"""
Scan the hooks directory for hook directories and load their handlers.
Also registers built-in hooks that are always active.
Each hook directory must contain:
- HOOK.yaml with at least 'name' and 'events' keys
- handler.py with a top-level 'handle' function (sync or async)
"""
self._register_builtin_hooks()
if not HOOKS_DIR.exists():
return

View File

@@ -12,6 +12,7 @@ the full SessionStore machinery.
import json
import logging
from datetime import datetime
from pathlib import Path
from typing import Optional
from hermes_cli.config import get_hermes_home

View File

@@ -25,7 +25,7 @@ import time
from pathlib import Path
from typing import Optional
from hermes_constants import get_hermes_dir
from hermes_cli.config import get_hermes_home
# Unambiguous alphabet -- excludes 0/O, 1/I to prevent confusion
@@ -41,7 +41,7 @@ LOCKOUT_SECONDS = 3600 # Lockout duration after too many failures
MAX_PENDING_PER_PLATFORM = 3 # Max pending codes per platform
MAX_FAILED_ATTEMPTS = 5 # Failed approvals before lockout
PAIRING_DIR = get_hermes_dir("platforms/pairing", "pairing")
PAIRING_DIR = get_hermes_home() / "pairing"
def _secure_write(path: Path, data: str) -> None:

File diff suppressed because it is too large Load Diff

View File

@@ -8,7 +8,6 @@ and implement the required methods.
import asyncio
import logging
import os
import random
import re
import uuid
from abc import ABC, abstractmethod
@@ -27,7 +26,6 @@ sys.path.insert(0, str(_Path(__file__).resolve().parents[2]))
from gateway.config import Platform, PlatformConfig
from gateway.session import SessionSource, build_session_key
from hermes_cli.config import get_hermes_home
from hermes_constants import get_hermes_dir
GATEWAY_SECRET_CAPTURE_UNSUPPORTED_MESSAGE = (
@@ -45,8 +43,8 @@ GATEWAY_SECRET_CAPTURE_UNSUPPORTED_MESSAGE = (
# (e.g. Telegram file URLs expire after ~1 hour).
# ---------------------------------------------------------------------------
# Default location: {HERMES_HOME}/cache/images/ (legacy: image_cache/)
IMAGE_CACHE_DIR = get_hermes_dir("cache/images", "image_cache")
# Default location: {HERMES_HOME}/image_cache/
IMAGE_CACHE_DIR = get_hermes_home() / "image_cache"
def get_image_cache_dir() -> Path:
@@ -73,51 +71,31 @@ def cache_image_from_bytes(data: bytes, ext: str = ".jpg") -> str:
return str(filepath)
async def cache_image_from_url(url: str, ext: str = ".jpg", retries: int = 2) -> str:
async def cache_image_from_url(url: str, ext: str = ".jpg") -> str:
"""
Download an image from a URL and save it to the local cache.
Retries on transient failures (timeouts, 429, 5xx) with exponential
backoff so a single slow CDN response doesn't lose the media.
Uses httpx for async download with a reasonable timeout.
Args:
url: The HTTP/HTTPS URL to download from.
ext: File extension including the dot (e.g. ".jpg", ".png").
retries: Number of retry attempts on transient failures.
Returns:
Absolute path to the cached image file as a string.
"""
import asyncio
import httpx
import logging as _logging
_log = _logging.getLogger(__name__)
last_exc = None
async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
for attempt in range(retries + 1):
try:
response = await client.get(
url,
headers={
"User-Agent": "Mozilla/5.0 (compatible; HermesAgent/1.0)",
"Accept": "image/*,*/*;q=0.8",
},
)
response.raise_for_status()
return cache_image_from_bytes(response.content, ext)
except (httpx.TimeoutException, httpx.HTTPStatusError) as exc:
last_exc = exc
if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code < 429:
raise
if attempt < retries:
wait = 1.5 * (attempt + 1)
_log.debug("Media cache retry %d/%d for %s (%.1fs): %s",
attempt + 1, retries, url[:80], wait, exc)
await asyncio.sleep(wait)
continue
raise
raise last_exc
response = await client.get(
url,
headers={
"User-Agent": "Mozilla/5.0 (compatible; HermesAgent/1.0)",
"Accept": "image/*,*/*;q=0.8",
},
)
response.raise_for_status()
return cache_image_from_bytes(response.content, ext)
def cleanup_image_cache(max_age_hours: int = 24) -> int:
@@ -148,7 +126,7 @@ def cleanup_image_cache(max_age_hours: int = 24) -> int:
# here so the STT tool (OpenAI Whisper) can transcribe them from local files.
# ---------------------------------------------------------------------------
AUDIO_CACHE_DIR = get_hermes_dir("cache/audio", "audio_cache")
AUDIO_CACHE_DIR = get_hermes_home() / "audio_cache"
def get_audio_cache_dir() -> Path:
@@ -175,51 +153,29 @@ def cache_audio_from_bytes(data: bytes, ext: str = ".ogg") -> str:
return str(filepath)
async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) -> str:
async def cache_audio_from_url(url: str, ext: str = ".ogg") -> str:
"""
Download an audio file from a URL and save it to the local cache.
Retries on transient failures (timeouts, 429, 5xx) with exponential
backoff so a single slow CDN response doesn't lose the media.
Args:
url: The HTTP/HTTPS URL to download from.
ext: File extension including the dot (e.g. ".ogg", ".mp3").
retries: Number of retry attempts on transient failures.
Returns:
Absolute path to the cached audio file as a string.
"""
import asyncio
import httpx
import logging as _logging
_log = _logging.getLogger(__name__)
last_exc = None
async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
for attempt in range(retries + 1):
try:
response = await client.get(
url,
headers={
"User-Agent": "Mozilla/5.0 (compatible; HermesAgent/1.0)",
"Accept": "audio/*,*/*;q=0.8",
},
)
response.raise_for_status()
return cache_audio_from_bytes(response.content, ext)
except (httpx.TimeoutException, httpx.HTTPStatusError) as exc:
last_exc = exc
if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code < 429:
raise
if attempt < retries:
wait = 1.5 * (attempt + 1)
_log.debug("Audio cache retry %d/%d for %s (%.1fs): %s",
attempt + 1, retries, url[:80], wait, exc)
await asyncio.sleep(wait)
continue
raise
raise last_exc
response = await client.get(
url,
headers={
"User-Agent": "Mozilla/5.0 (compatible; HermesAgent/1.0)",
"Accept": "audio/*,*/*;q=0.8",
},
)
response.raise_for_status()
return cache_audio_from_bytes(response.content, ext)
# ---------------------------------------------------------------------------
@@ -229,7 +185,7 @@ async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) ->
# here so the agent can reference them by local file path.
# ---------------------------------------------------------------------------
DOCUMENT_CACHE_DIR = get_hermes_dir("cache/documents", "document_cache")
DOCUMENT_CACHE_DIR = get_hermes_home() / "document_cache"
SUPPORTED_DOCUMENT_TYPES = {
".pdf": "application/pdf",
@@ -338,10 +294,6 @@ class MessageEvent:
# Reply context
reply_to_message_id: Optional[str] = None
reply_to_text: Optional[str] = None # Text of the replied-to message (for context injection)
# Auto-loaded skill for topic/channel bindings (e.g., Telegram DM Topics)
auto_skill: Optional[str] = None
# Timestamps
timestamp: datetime = field(default_factory=datetime.now)
@@ -356,10 +308,7 @@ class MessageEvent:
return None
# Split on space and get first word, strip the /
parts = self.text.split(maxsplit=1)
raw = parts[0][1:].lower() if parts else None
if raw and "@" in raw:
raw = raw.split("@", 1)[0]
return raw
return parts[0][1:].lower() if parts else None
def get_command_args(self) -> str:
"""Get the arguments after a command."""
@@ -376,24 +325,6 @@ class SendResult:
message_id: Optional[str] = None
error: Optional[str] = None
raw_response: Any = None
retryable: bool = False # True for transient errors (network, timeout) — base will retry automatically
# Error substrings that indicate a transient network failure worth retrying
_RETRYABLE_ERROR_PATTERNS = (
"connecterror",
"connectionerror",
"connectionreset",
"connectionrefused",
"timeout",
"timed out",
"network",
"broken pipe",
"remotedisconnected",
"eoferror",
"readtimeout",
"writetimeout",
)
# Type for message handlers
@@ -572,14 +503,6 @@ class BasePlatformAdapter(ABC):
metadata: optional dict with platform-specific context (e.g. thread_id for Slack).
"""
pass
async def stop_typing(self, chat_id: str) -> None:
"""Stop a persistent typing indicator (if the platform uses one).
Override in subclasses that start background typing loops.
Default is a no-op for platforms with one-shot typing indicators.
"""
pass
async def send_image(
self,
@@ -587,7 +510,6 @@ class BasePlatformAdapter(ABC):
image_url: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""
Send an image natively via the platform API.
@@ -606,7 +528,6 @@ class BasePlatformAdapter(ABC):
animation_url: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""
Send an animated GIF natively via the platform API.
@@ -615,7 +536,7 @@ class BasePlatformAdapter(ABC):
(e.g., Telegram send_animation) so they auto-play inline.
Default falls back to send_image.
"""
return await self.send_image(chat_id=chat_id, image_url=animation_url, caption=caption, reply_to=reply_to, metadata=metadata)
return await self.send_image(chat_id=chat_id, image_url=animation_url, caption=caption, reply_to=reply_to)
@staticmethod
def _is_animation_url(url: str) -> bool:
@@ -789,7 +710,7 @@ class BasePlatformAdapter(ABC):
# Extract MEDIA:<path> tags, allowing optional whitespace after the colon
# and quoted/backticked paths for LLM-formatted outputs.
media_pattern = re.compile(
r'''[`"']?MEDIA:\s*(?P<path>`[^`\n]+`|"[^"\n]+"|'[^'\n]+'|(?:~/|/)\S+(?:[^\S\n]+\S+)*?\.(?:png|jpe?g|gif|webp|mp4|mov|avi|mkv|webm|ogg|opus|mp3|wav|m4a)(?=[\s`"',;:)\]}]|$)|\S+)[`"']?'''
r'''[`"']?MEDIA:\s*(?P<path>`[^`\n]+`|"[^"\n]+"|'[^'\n]+'|\S+)[`"']?'''
)
for match in media_pattern.finditer(content):
path = match.group("path").strip()
@@ -805,75 +726,7 @@ class BasePlatformAdapter(ABC):
cleaned = re.sub(r'\n{3,}', '\n\n', cleaned).strip()
return media, cleaned
@staticmethod
def extract_local_files(content: str) -> Tuple[List[str], str]:
"""
Detect bare local file paths in response text for native media delivery.
Matches absolute paths (/...) and tilde paths (~/) ending in common
image or video extensions. Validates each candidate with
``os.path.isfile()`` to avoid false positives from URLs or
non-existent paths.
Paths inside fenced code blocks (``` ... ```) and inline code
(`...`) are ignored so that code samples are never mutilated.
Returns:
Tuple of (list of expanded file paths, cleaned text with the
raw path strings removed).
"""
_LOCAL_MEDIA_EXTS = (
'.png', '.jpg', '.jpeg', '.gif', '.webp',
'.mp4', '.mov', '.avi', '.mkv', '.webm',
)
ext_part = '|'.join(e.lstrip('.') for e in _LOCAL_MEDIA_EXTS)
# (?<![/:\w.]) prevents matching inside URLs (e.g. https://…/img.png)
# and relative paths (./foo.png)
# (?:~/|/) anchors to absolute or home-relative paths
path_re = re.compile(
r'(?<![/:\w.])(?:~/|/)(?:[\w.\-]+/)*[\w.\-]+\.(?:' + ext_part + r')\b',
re.IGNORECASE,
)
# Build spans covered by fenced code blocks and inline code
code_spans: list = []
for m in re.finditer(r'```[^\n]*\n.*?```', content, re.DOTALL):
code_spans.append((m.start(), m.end()))
for m in re.finditer(r'`[^`\n]+`', content):
code_spans.append((m.start(), m.end()))
def _in_code(pos: int) -> bool:
return any(s <= pos < e for s, e in code_spans)
found: list = [] # (raw_match_text, expanded_path)
for match in path_re.finditer(content):
if _in_code(match.start()):
continue
raw = match.group(0)
expanded = os.path.expanduser(raw)
if os.path.isfile(expanded):
found.append((raw, expanded))
# Deduplicate by expanded path, preserving discovery order
seen: set = set()
unique: list = []
for raw, expanded in found:
if expanded not in seen:
seen.add(expanded)
unique.append((raw, expanded))
paths = [expanded for _, expanded in unique]
cleaned = content
if unique:
for raw, _exp in unique:
cleaned = cleaned.replace(raw, '')
cleaned = re.sub(r'\n{3,}', '\n\n', cleaned).strip()
return paths, cleaned
async def _keep_typing(self, chat_id: str, interval: float = 2.0, metadata=None) -> None:
"""
Continuously send typing indicator until cancelled.
@@ -887,122 +740,7 @@ class BasePlatformAdapter(ABC):
await asyncio.sleep(interval)
except asyncio.CancelledError:
pass # Normal cancellation when handler completes
finally:
# Ensure the underlying platform typing loop is stopped.
# _keep_typing may have called send_typing() after an outer
# stop_typing() cleared the task dict, recreating the loop.
# Cancelling _keep_typing alone won't clean that up.
if hasattr(self, "stop_typing"):
try:
await self.stop_typing(chat_id)
except Exception:
pass
# ── Processing lifecycle hooks ──────────────────────────────────────────
# Subclasses override these to react to message processing events
# (e.g. Discord adds 👀/✅/❌ reactions).
async def on_processing_start(self, event: MessageEvent) -> None:
"""Hook called when background processing begins."""
async def on_processing_complete(self, event: MessageEvent, success: bool) -> None:
"""Hook called when background processing completes."""
async def _run_processing_hook(self, hook_name: str, *args: Any, **kwargs: Any) -> None:
"""Run a lifecycle hook without letting failures break message flow."""
hook = getattr(self, hook_name, None)
if not callable(hook):
return
try:
await hook(*args, **kwargs)
except Exception as e:
logger.warning("[%s] %s hook failed: %s", self.name, hook_name, e)
@staticmethod
def _is_retryable_error(error: Optional[str]) -> bool:
"""Return True if the error string looks like a transient network failure."""
if not error:
return False
lowered = error.lower()
return any(pat in lowered for pat in _RETRYABLE_ERROR_PATTERNS)
async def _send_with_retry(
self,
chat_id: str,
content: str,
reply_to: Optional[str] = None,
metadata: Any = None,
max_retries: int = 2,
base_delay: float = 2.0,
) -> "SendResult":
"""
Send a message with automatic retry for transient network errors.
On permanent failures (e.g. formatting / permission errors) falls back
to a plain-text version before giving up. If all attempts fail due to
network errors, sends the user a brief delivery-failure notice so they
know to retry rather than waiting indefinitely.
"""
result = await self.send(
chat_id=chat_id,
content=content,
reply_to=reply_to,
metadata=metadata,
)
if result.success:
return result
error_str = result.error or ""
is_network = result.retryable or self._is_retryable_error(error_str)
if is_network:
# Retry with exponential backoff for transient errors
for attempt in range(1, max_retries + 1):
delay = base_delay * (2 ** (attempt - 1)) + random.uniform(0, 1)
logger.warning(
"[%s] Send failed (attempt %d/%d, retrying in %.1fs): %s",
self.name, attempt, max_retries, delay, error_str,
)
await asyncio.sleep(delay)
result = await self.send(
chat_id=chat_id,
content=content,
reply_to=reply_to,
metadata=metadata,
)
if result.success:
logger.info("[%s] Send succeeded on retry %d", self.name, attempt)
return result
error_str = result.error or ""
if not (result.retryable or self._is_retryable_error(error_str)):
break # error switched to non-transient — fall through to plain-text fallback
else:
# All retries exhausted (loop completed without break) — notify user
logger.error("[%s] Failed to deliver response after %d retries: %s", self.name, max_retries, error_str)
notice = (
"\u26a0\ufe0f Message delivery failed after multiple attempts. "
"Please try again \u2014 your request was processed but the response could not be sent."
)
try:
await self.send(chat_id=chat_id, content=notice, reply_to=reply_to, metadata=metadata)
except Exception as notify_err:
logger.debug("[%s] Could not send delivery-failure notice: %s", self.name, notify_err)
return result
# Non-network / post-retry formatting failure: try plain text as fallback
logger.warning("[%s] Send failed: %s — trying plain-text fallback", self.name, error_str)
fallback_result = await self.send(
chat_id=chat_id,
content=f"(Response formatting failed, plain text:)\n\n{content[:3500]}",
reply_to=reply_to,
metadata=metadata,
)
if not fallback_result.success:
logger.error("[%s] Fallback send also failed: %s", self.name, fallback_result.error)
return fallback_result
async def handle_message(self, event: MessageEvent) -> None:
"""
Process an incoming message.
@@ -1014,10 +752,7 @@ class BasePlatformAdapter(ABC):
if not self._message_handler:
return
session_key = build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
)
session_key = build_session_key(event.source)
# Check if there's already an active handler for this session
if session_key in self._active_sessions:
@@ -1025,7 +760,7 @@ class BasePlatformAdapter(ABC):
# simultaneous messages. Queue them without interrupting the active run,
# then process them immediately after the current task finishes.
if event.message_type == MessageType.PHOTO:
logger.debug("[%s] Queuing photo follow-up for session %s without interrupt", self.name, session_key)
print(f"[{self.name}] 🖼️ Queuing photo follow-up for session {session_key} without interrupt")
existing = self._pending_messages.get(session_key)
if existing and existing.message_type == MessageType.PHOTO:
existing.media_urls.extend(event.media_urls)
@@ -1040,7 +775,7 @@ class BasePlatformAdapter(ABC):
return # Don't interrupt now - will run after current task completes
# Default behavior for non-photo follow-ups: interrupt the running agent
logger.debug("[%s] New message while session %s is active triggering interrupt", self.name, session_key)
print(f"[{self.name}] New message while session {session_key} is active - triggering interrupt")
self._pending_messages[session_key] = event
# Signal the interrupt (the processing task checks this)
self._active_sessions[session_key].set()
@@ -1080,18 +815,6 @@ class BasePlatformAdapter(ABC):
async def _process_message_background(self, event: MessageEvent, session_key: str) -> None:
"""Background task that actually processes the message."""
# Track delivery outcomes for the processing-complete hook
delivery_attempted = False
delivery_succeeded = False
def _record_delivery(result):
nonlocal delivery_attempted, delivery_succeeded
if result is None:
return
delivery_attempted = True
if getattr(result, "success", False):
delivery_succeeded = True
# Create interrupt event for this session
interrupt_event = asyncio.Event()
self._active_sessions[session_key] = interrupt_event
@@ -1101,8 +824,6 @@ class BasePlatformAdapter(ABC):
typing_task = asyncio.create_task(self._keep_typing(event.source.chat_id, metadata=_thread_metadata))
try:
await self._run_processing_hook("on_processing_start", event)
# Call the handler (this can take a while with tool calls)
response = await self._message_handler(event)
@@ -1115,17 +836,8 @@ class BasePlatformAdapter(ABC):
# Extract image URLs and send them as native platform attachments
images, text_content = self.extract_images(response)
# Strip any remaining internal directives from message body (fixes #1561)
text_content = text_content.replace("[[audio_as_voice]]", "").strip()
text_content = re.sub(r"MEDIA:\s*\S+", "", text_content).strip()
if images:
logger.info("[%s] extract_images found %d image(s) in response (%d chars)", self.name, len(images), len(response))
# Auto-detect bare local file paths for native media delivery
# (helps small models that don't use MEDIA: syntax)
local_files, text_content = self.extract_local_files(text_content)
if local_files:
logger.info("[%s] extract_local_files found %d file(s) in response", self.name, len(local_files))
# Auto-TTS: if voice message, generate audio FIRST (before sending text)
# Skipped when the chat has voice mode disabled (/voice off)
@@ -1166,13 +878,25 @@ class BasePlatformAdapter(ABC):
# Send the text portion
if text_content:
logger.info("[%s] Sending response (%d chars) to %s", self.name, len(text_content), event.source.chat_id)
result = await self._send_with_retry(
result = await self.send(
chat_id=event.source.chat_id,
content=text_content,
reply_to=event.message_id,
metadata=_thread_metadata,
)
_record_delivery(result)
# Log send failures (don't raise - user already saw tool progress)
if not result.success:
print(f"[{self.name}] Failed to send response: {result.error}")
# Try sending without markdown as fallback
fallback_result = await self.send(
chat_id=event.source.chat_id,
content=f"(Response formatting failed, plain text:)\n\n{text_content[:3500]}",
reply_to=event.message_id,
metadata=_thread_metadata,
)
if not fallback_result.success:
print(f"[{self.name}] Fallback send also failed: {fallback_result.error}")
# Human-like pacing delay between text and media
human_delay = self._get_human_delay()
@@ -1207,7 +931,7 @@ class BasePlatformAdapter(ABC):
# Send extracted media files — route by file type
_AUDIO_EXTS = {'.ogg', '.opus', '.mp3', '.wav', '.m4a'}
_VIDEO_EXTS = {'.mp4', '.mov', '.avi', '.mkv', '.webm', '.3gp'}
_VIDEO_EXTS = {'.mp4', '.mov', '.avi', '.mkv', '.3gp'}
_IMAGE_EXTS = {'.jpg', '.jpeg', '.png', '.webp', '.gif'}
for media_path, is_voice in media_files:
@@ -1241,45 +965,14 @@ class BasePlatformAdapter(ABC):
)
if not media_result.success:
logger.warning("[%s] Failed to send media (%s): %s", self.name, ext, media_result.error)
print(f"[{self.name}] Failed to send media ({ext}): {media_result.error}")
except Exception as media_err:
logger.warning("[%s] Error sending media: %s", self.name, media_err)
# Send auto-detected local files as native attachments
for file_path in local_files:
if human_delay > 0:
await asyncio.sleep(human_delay)
try:
ext = Path(file_path).suffix.lower()
if ext in _IMAGE_EXTS:
await self.send_image_file(
chat_id=event.source.chat_id,
image_path=file_path,
metadata=_thread_metadata,
)
elif ext in _VIDEO_EXTS:
await self.send_video(
chat_id=event.source.chat_id,
video_path=file_path,
metadata=_thread_metadata,
)
else:
await self.send_document(
chat_id=event.source.chat_id,
file_path=file_path,
metadata=_thread_metadata,
)
except Exception as file_err:
logger.error("[%s] Error sending local file %s: %s", self.name, file_path, file_err)
# Determine overall success for the processing hook
processing_ok = delivery_succeeded if delivery_attempted else not bool(response)
await self._run_processing_hook("on_processing_complete", event, processing_ok)
print(f"[{self.name}] Error sending media: {media_err}")
# Check if there's a pending message that was queued during our processing
if session_key in self._pending_messages:
pending_event = self._pending_messages.pop(session_key)
logger.debug("[%s] Processing queued message from interrupt", self.name)
print(f"[{self.name}] 📨 Processing queued message from interrupt")
# Clean up current session before processing pending
if session_key in self._active_sessions:
del self._active_sessions[session_key]
@@ -1292,28 +985,10 @@ class BasePlatformAdapter(ABC):
await self._process_message_background(pending_event, session_key)
return # Already cleaned up
except asyncio.CancelledError:
await self._run_processing_hook("on_processing_complete", event, False)
raise
except Exception as e:
await self._run_processing_hook("on_processing_complete", event, False)
logger.error("[%s] Error handling message: %s", self.name, e, exc_info=True)
# Send the error to the user so they aren't left with radio silence
try:
error_type = type(e).__name__
error_detail = str(e)[:300] if str(e) else "no details available"
_thread_metadata = {"thread_id": event.source.thread_id} if event.source.thread_id else None
await self.send(
chat_id=event.source.chat_id,
content=(
f"Sorry, I encountered an error ({error_type}).\n"
f"{error_detail}\n"
"Try again or use /reset to start a fresh session."
),
metadata=_thread_metadata,
)
except Exception:
pass # Last resort — don't let error reporting crash the handler
print(f"[{self.name}] Error handling message: {e}")
import traceback
traceback.print_exc()
finally:
# Stop typing indicator
typing_task.cancel()
@@ -1321,13 +996,6 @@ class BasePlatformAdapter(ABC):
await typing_task
except asyncio.CancelledError:
pass
# Also cancel any platform-level persistent typing tasks (e.g. Discord)
# that may have been recreated by _keep_typing after the last stop_typing()
try:
if hasattr(self, "stop_typing"):
await self.stop_typing(event.source.chat_id)
except Exception:
pass
# Clean up session tracking
if session_key in self._active_sessions:
del self._active_sessions[session_key]
@@ -1406,8 +1074,7 @@ class BasePlatformAdapter(ABC):
"""
return content
@staticmethod
def truncate_message(content: str, max_length: int = 4096) -> List[str]:
def truncate_message(self, content: str, max_length: int = 4096) -> List[str]:
"""
Split a long message into chunks, preserving code block boundaries.
@@ -1459,27 +1126,6 @@ class BasePlatformAdapter(ABC):
if split_at < 1:
split_at = headroom
# Avoid splitting inside an inline code span (`...`).
# If the text before split_at has an odd number of unescaped
# backticks, the split falls inside inline code — the resulting
# chunk would have an unpaired backtick and any special characters
# (like parentheses) inside the broken span would be unescaped,
# causing MarkdownV2 parse errors on Telegram.
candidate = remaining[:split_at]
backtick_count = candidate.count("`") - candidate.count("\\`")
if backtick_count % 2 == 1:
# Find the last unescaped backtick and split before it
last_bt = candidate.rfind("`")
while last_bt > 0 and candidate[last_bt - 1] == "\\":
last_bt = candidate.rfind("`", 0, last_bt)
if last_bt > 0:
# Try to find a space or newline just before the backtick
safe_split = candidate.rfind(" ", 0, last_bt)
nl_split = candidate.rfind("\n", 0, last_bt)
safe_split = max(safe_split, nl_split)
if safe_split > headroom // 4:
split_at = safe_split
chunk_body = remaining[:split_at]
remaining = remaining[split_at:].lstrip()

View File

@@ -1,340 +0,0 @@
"""
DingTalk platform adapter using Stream Mode.
Uses dingtalk-stream SDK for real-time message reception without webhooks.
Responses are sent via DingTalk's session webhook (markdown format).
Requires:
pip install dingtalk-stream httpx
DINGTALK_CLIENT_ID and DINGTALK_CLIENT_SECRET env vars
Configuration in config.yaml:
platforms:
dingtalk:
enabled: true
extra:
client_id: "your-app-key" # or DINGTALK_CLIENT_ID env var
client_secret: "your-secret" # or DINGTALK_CLIENT_SECRET env var
"""
import asyncio
import logging
import os
import time
import uuid
from datetime import datetime, timezone
from typing import Any, Dict, Optional
try:
import dingtalk_stream
from dingtalk_stream import ChatbotHandler, ChatbotMessage
DINGTALK_STREAM_AVAILABLE = True
except ImportError:
DINGTALK_STREAM_AVAILABLE = False
dingtalk_stream = None # type: ignore[assignment]
try:
import httpx
HTTPX_AVAILABLE = True
except ImportError:
HTTPX_AVAILABLE = False
httpx = None # type: ignore[assignment]
from gateway.config import Platform, PlatformConfig
from gateway.platforms.base import (
BasePlatformAdapter,
MessageEvent,
MessageType,
SendResult,
)
logger = logging.getLogger(__name__)
MAX_MESSAGE_LENGTH = 20000
DEDUP_WINDOW_SECONDS = 300
DEDUP_MAX_SIZE = 1000
RECONNECT_BACKOFF = [2, 5, 10, 30, 60]
def check_dingtalk_requirements() -> bool:
"""Check if DingTalk dependencies are available and configured."""
if not DINGTALK_STREAM_AVAILABLE or not HTTPX_AVAILABLE:
return False
if not os.getenv("DINGTALK_CLIENT_ID") or not os.getenv("DINGTALK_CLIENT_SECRET"):
return False
return True
class DingTalkAdapter(BasePlatformAdapter):
"""DingTalk chatbot adapter using Stream Mode.
The dingtalk-stream SDK maintains a long-lived WebSocket connection.
Incoming messages arrive via a ChatbotHandler callback. Replies are
sent via the incoming message's session_webhook URL using httpx.
"""
MAX_MESSAGE_LENGTH = MAX_MESSAGE_LENGTH
def __init__(self, config: PlatformConfig):
super().__init__(config, Platform.DINGTALK)
extra = config.extra or {}
self._client_id: str = extra.get("client_id") or os.getenv("DINGTALK_CLIENT_ID", "")
self._client_secret: str = extra.get("client_secret") or os.getenv("DINGTALK_CLIENT_SECRET", "")
self._stream_client: Any = None
self._stream_task: Optional[asyncio.Task] = None
self._http_client: Optional["httpx.AsyncClient"] = None
# Message deduplication: msg_id -> timestamp
self._seen_messages: Dict[str, float] = {}
# Map chat_id -> session_webhook for reply routing
self._session_webhooks: Dict[str, str] = {}
# -- Connection lifecycle -----------------------------------------------
async def connect(self) -> bool:
"""Connect to DingTalk via Stream Mode."""
if not DINGTALK_STREAM_AVAILABLE:
logger.warning("[%s] dingtalk-stream not installed. Run: pip install dingtalk-stream", self.name)
return False
if not HTTPX_AVAILABLE:
logger.warning("[%s] httpx not installed. Run: pip install httpx", self.name)
return False
if not self._client_id or not self._client_secret:
logger.warning("[%s] DINGTALK_CLIENT_ID and DINGTALK_CLIENT_SECRET required", self.name)
return False
try:
self._http_client = httpx.AsyncClient(timeout=30.0)
credential = dingtalk_stream.Credential(self._client_id, self._client_secret)
self._stream_client = dingtalk_stream.DingTalkStreamClient(credential)
# Capture the current event loop for cross-thread dispatch
loop = asyncio.get_running_loop()
handler = _IncomingHandler(self, loop)
self._stream_client.register_callback_handler(
dingtalk_stream.ChatbotMessage.TOPIC, handler
)
self._stream_task = asyncio.create_task(self._run_stream())
self._mark_connected()
logger.info("[%s] Connected via Stream Mode", self.name)
return True
except Exception as e:
logger.error("[%s] Failed to connect: %s", self.name, e)
return False
async def _run_stream(self) -> None:
"""Run the blocking stream client with auto-reconnection."""
backoff_idx = 0
while self._running:
try:
logger.debug("[%s] Starting stream client...", self.name)
await asyncio.to_thread(self._stream_client.start)
except asyncio.CancelledError:
return
except Exception as e:
if not self._running:
return
logger.warning("[%s] Stream client error: %s", self.name, e)
if not self._running:
return
delay = RECONNECT_BACKOFF[min(backoff_idx, len(RECONNECT_BACKOFF) - 1)]
logger.info("[%s] Reconnecting in %ds...", self.name, delay)
await asyncio.sleep(delay)
backoff_idx += 1
async def disconnect(self) -> None:
"""Disconnect from DingTalk."""
self._running = False
self._mark_disconnected()
if self._stream_task:
self._stream_task.cancel()
try:
await self._stream_task
except asyncio.CancelledError:
pass
self._stream_task = None
if self._http_client:
await self._http_client.aclose()
self._http_client = None
self._stream_client = None
self._session_webhooks.clear()
self._seen_messages.clear()
logger.info("[%s] Disconnected", self.name)
# -- Inbound message processing -----------------------------------------
async def _on_message(self, message: "ChatbotMessage") -> None:
"""Process an incoming DingTalk chatbot message."""
msg_id = getattr(message, "message_id", None) or uuid.uuid4().hex
if self._is_duplicate(msg_id):
logger.debug("[%s] Duplicate message %s, skipping", self.name, msg_id)
return
text = self._extract_text(message)
if not text:
logger.debug("[%s] Empty message, skipping", self.name)
return
# Chat context
conversation_id = getattr(message, "conversation_id", "") or ""
conversation_type = getattr(message, "conversation_type", "1")
is_group = str(conversation_type) == "2"
sender_id = getattr(message, "sender_id", "") or ""
sender_nick = getattr(message, "sender_nick", "") or sender_id
sender_staff_id = getattr(message, "sender_staff_id", "") or ""
chat_id = conversation_id or sender_id
chat_type = "group" if is_group else "dm"
# Store session webhook for reply routing
session_webhook = getattr(message, "session_webhook", None) or ""
if session_webhook and chat_id:
self._session_webhooks[chat_id] = session_webhook
source = self.build_source(
chat_id=chat_id,
chat_name=getattr(message, "conversation_title", None),
chat_type=chat_type,
user_id=sender_id,
user_name=sender_nick,
user_id_alt=sender_staff_id if sender_staff_id else None,
)
# Parse timestamp
create_at = getattr(message, "create_at", None)
try:
timestamp = datetime.fromtimestamp(int(create_at) / 1000, tz=timezone.utc) if create_at else datetime.now(tz=timezone.utc)
except (ValueError, OSError, TypeError):
timestamp = datetime.now(tz=timezone.utc)
event = MessageEvent(
text=text,
message_type=MessageType.TEXT,
source=source,
message_id=msg_id,
raw_message=message,
timestamp=timestamp,
)
logger.debug("[%s] Message from %s in %s: %s",
self.name, sender_nick, chat_id[:20] if chat_id else "?", text[:50])
await self.handle_message(event)
@staticmethod
def _extract_text(message: "ChatbotMessage") -> str:
"""Extract plain text from a DingTalk chatbot message."""
text = getattr(message, "text", None) or ""
if isinstance(text, dict):
content = text.get("content", "").strip()
else:
content = str(text).strip()
# Fall back to rich text if present
if not content:
rich_text = getattr(message, "rich_text", None)
if rich_text and isinstance(rich_text, list):
parts = [item["text"] for item in rich_text
if isinstance(item, dict) and item.get("text")]
content = " ".join(parts).strip()
return content
# -- Deduplication ------------------------------------------------------
def _is_duplicate(self, msg_id: str) -> bool:
"""Check and record a message ID. Returns True if already seen."""
now = time.time()
if len(self._seen_messages) > DEDUP_MAX_SIZE:
cutoff = now - DEDUP_WINDOW_SECONDS
self._seen_messages = {k: v for k, v in self._seen_messages.items() if v > cutoff}
if msg_id in self._seen_messages:
return True
self._seen_messages[msg_id] = now
return False
# -- Outbound messaging -------------------------------------------------
async def send(
self,
chat_id: str,
content: str,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send a markdown reply via DingTalk session webhook."""
metadata = metadata or {}
session_webhook = metadata.get("session_webhook") or self._session_webhooks.get(chat_id)
if not session_webhook:
return SendResult(success=False,
error="No session_webhook available. Reply must follow an incoming message.")
if not self._http_client:
return SendResult(success=False, error="HTTP client not initialized")
payload = {
"msgtype": "markdown",
"markdown": {"title": "Hermes", "text": content[:self.MAX_MESSAGE_LENGTH]},
}
try:
resp = await self._http_client.post(session_webhook, json=payload, timeout=15.0)
if resp.status_code < 300:
return SendResult(success=True, message_id=uuid.uuid4().hex[:12])
body = resp.text
logger.warning("[%s] Send failed HTTP %d: %s", self.name, resp.status_code, body[:200])
return SendResult(success=False, error=f"HTTP {resp.status_code}: {body[:200]}")
except httpx.TimeoutException:
return SendResult(success=False, error="Timeout sending message to DingTalk")
except Exception as e:
logger.error("[%s] Send error: %s", self.name, e)
return SendResult(success=False, error=str(e))
async def send_typing(self, chat_id: str, metadata=None) -> None:
"""DingTalk does not support typing indicators."""
pass
async def get_chat_info(self, chat_id: str) -> Dict[str, Any]:
"""Return basic info about a DingTalk conversation."""
return {"name": chat_id, "type": "group" if "group" in chat_id.lower() else "dm"}
# ---------------------------------------------------------------------------
# Internal stream handler
# ---------------------------------------------------------------------------
class _IncomingHandler(ChatbotHandler if DINGTALK_STREAM_AVAILABLE else object):
"""dingtalk-stream ChatbotHandler that forwards messages to the adapter."""
def __init__(self, adapter: DingTalkAdapter, loop: asyncio.AbstractEventLoop):
if DINGTALK_STREAM_AVAILABLE:
super().__init__()
self._adapter = adapter
self._loop = loop
def process(self, message: "ChatbotMessage"):
"""Called by dingtalk-stream in its thread when a message arrives.
Schedules the async handler on the main event loop.
"""
loop = self._loop
if loop is None or loop.is_closed():
logger.error("[DingTalk] Event loop unavailable, cannot dispatch message")
return dingtalk_stream.AckMessage.STATUS_OK, "OK"
future = asyncio.run_coroutine_threadsafe(self._adapter._on_message(message), loop)
try:
future.result(timeout=60)
except Exception:
logger.exception("[DingTalk] Error processing incoming message")
return dingtalk_stream.AckMessage.STATUS_OK, "OK"

View File

@@ -10,7 +10,6 @@ Uses discord.py library for:
"""
import asyncio
import json
import logging
import os
import struct
@@ -19,8 +18,7 @@ import tempfile
import threading
import time
from collections import defaultdict
from pathlib import Path
from typing import Callable, Dict, Optional, Any
from typing import Callable, Dict, List, Optional, Any
logger = logging.getLogger(__name__)
@@ -43,8 +41,6 @@ from pathlib import Path as _Path
sys.path.insert(0, str(_Path(__file__).resolve().parents[2]))
from gateway.config import Platform, PlatformConfig
import re
from gateway.platforms.base import (
BasePlatformAdapter,
MessageEvent,
@@ -52,8 +48,6 @@ from gateway.platforms.base import (
SendResult,
cache_image_from_url,
cache_audio_from_url,
cache_document_from_bytes,
SUPPORTED_DOCUMENT_TYPES,
)
@@ -440,15 +434,8 @@ class DiscordAdapter(BasePlatformAdapter):
self._voice_input_callback: Optional[Callable] = None # set by run.py
self._on_voice_disconnect: Optional[Callable] = None # set by run.py
# Track threads where the bot has participated so follow-up messages
# in those threads don't require @mention. Persisted to disk so the
# set survives gateway restarts.
self._bot_participated_threads: set = self._load_participated_threads()
# Persistent typing indicator loops per channel (DMs don't reliably
# show the standard typing gateway event for bots)
self._typing_tasks: Dict[str, asyncio.Task] = {}
self._bot_task: Optional[asyncio.Task] = None
# Cap to prevent unbounded growth (Discord threads get archived).
self._MAX_TRACKED_THREADS = 500
# in those threads don't require @mention.
self._bot_participated_threads: set = set()
async def connect(self) -> bool:
"""Connect to Discord and start receiving events."""
@@ -486,17 +473,6 @@ class DiscordAdapter(BasePlatformAdapter):
return False
try:
# Acquire scoped lock to prevent duplicate bot token usage
from gateway.status import acquire_scoped_lock
self._token_lock_identity = self.config.token
acquired, existing = acquire_scoped_lock('discord-bot-token', self._token_lock_identity, metadata={'platform': 'discord'})
if not acquired:
owner_pid = existing.get('pid') if isinstance(existing, dict) else None
message = f'Discord bot token already in use' + (f' (PID {owner_pid})' if owner_pid else '') + '. Stop the other gateway first.'
logger.error('[%s] %s', self.name, message)
self._set_fatal_error('discord_token_lock', message, retryable=False)
return False
# Set up intents -- members intent needed for username-to-ID resolution
intents = Intents.default()
intents.message_content = True
@@ -543,11 +519,6 @@ class DiscordAdapter(BasePlatformAdapter):
if message.author == self._client.user:
return
# Ignore Discord system messages (thread renames, pins, member joins, etc.)
# Allow both default and reply types — replies have a distinct MessageType.
if message.type not in (discord.MessageType.default, discord.MessageType.reply):
return
# Bot message filtering (DISCORD_ALLOW_BOTS):
# "none" — ignore all other bots (default)
# "mentions" — accept bot messages only when they @mention us
@@ -561,22 +532,6 @@ class DiscordAdapter(BasePlatformAdapter):
return
# "all" falls through to handle_message
# If the message @mentions other users but NOT the bot, the
# sender is talking to someone else — stay silent. Only
# applies in server channels; in DMs the user is always
# talking to the bot (mentions are just references).
# Controlled by DISCORD_IGNORE_NO_MENTION (default: true).
_ignore_no_mention = os.getenv(
"DISCORD_IGNORE_NO_MENTION", "true"
).lower() in ("true", "1", "yes")
if _ignore_no_mention and message.mentions and not isinstance(message.channel, discord.DMChannel):
_bot_mentioned = (
self._client.user is not None
and self._client.user in message.mentions
)
if not _bot_mentioned:
return # Talking to someone else, don't interrupt
await self._handle_message(message)
@self._client.event
@@ -616,7 +571,7 @@ class DiscordAdapter(BasePlatformAdapter):
self._register_slash_commands()
# Start the bot in background
self._bot_task = asyncio.create_task(self._client.start(self.config.token))
asyncio.create_task(self._client.start(self.config.token))
# Wait for ready
await asyncio.wait_for(self._ready_event.wait(), timeout=30)
@@ -649,52 +604,7 @@ class DiscordAdapter(BasePlatformAdapter):
self._running = False
self._client = None
self._ready_event.clear()
# Release the token lock
try:
from gateway.status import release_scoped_lock
if getattr(self, '_token_lock_identity', None):
release_scoped_lock('discord-bot-token', self._token_lock_identity)
self._token_lock_identity = None
except Exception:
pass
logger.info("[%s] Disconnected", self.name)
async def _add_reaction(self, message: Any, emoji: str) -> bool:
"""Add an emoji reaction to a Discord message."""
if not message or not hasattr(message, "add_reaction"):
return False
try:
await message.add_reaction(emoji)
return True
except Exception as e:
logger.debug("[%s] add_reaction failed (%s): %s", self.name, emoji, e)
return False
async def _remove_reaction(self, message: Any, emoji: str) -> bool:
"""Remove the bot's own emoji reaction from a Discord message."""
if not message or not hasattr(message, "remove_reaction") or not self._client or not self._client.user:
return False
try:
await message.remove_reaction(emoji, self._client.user)
return True
except Exception as e:
logger.debug("[%s] remove_reaction failed (%s): %s", self.name, emoji, e)
return False
async def on_processing_start(self, event: MessageEvent) -> None:
"""Add an in-progress reaction for normal Discord message events."""
message = event.raw_message
if hasattr(message, "add_reaction"):
await self._add_reaction(message, "👀")
async def on_processing_complete(self, event: MessageEvent, success: bool) -> None:
"""Swap the in-progress reaction for a final success/failure reaction."""
message = event.raw_message
if hasattr(message, "add_reaction"):
await self._remove_reaction(message, "👀")
await self._add_reaction(message, "" if success else "")
async def send(
self,
@@ -1324,48 +1234,14 @@ class DiscordAdapter(BasePlatformAdapter):
return await super().send_document(chat_id, file_path, caption, file_name, reply_to, metadata=metadata)
async def send_typing(self, chat_id: str, metadata=None) -> None:
"""Start a persistent typing indicator for a channel.
Discord's TYPING_START gateway event is unreliable in DMs for bots.
Instead, start a background loop that hits the typing endpoint every
8 seconds (typing indicator lasts ~10s). The loop is cancelled when
stop_typing() is called (after the response is sent).
"""
if not self._client:
return
# Don't start a duplicate loop
if chat_id in self._typing_tasks:
return
async def _typing_loop() -> None:
"""Send typing indicator."""
if self._client:
try:
while True:
try:
route = discord.http.Route(
"POST", "/channels/{channel_id}/typing",
channel_id=chat_id,
)
await self._client.http.request(route)
except asyncio.CancelledError:
return
except Exception as e:
logger.debug("Discord typing indicator failed for %s: %s", chat_id, e)
return
await asyncio.sleep(8)
except asyncio.CancelledError:
pass
self._typing_tasks[chat_id] = asyncio.create_task(_typing_loop())
async def stop_typing(self, chat_id: str) -> None:
"""Stop the persistent typing indicator for a channel."""
task = self._typing_tasks.pop(chat_id, None)
if task:
task.cancel()
try:
await task
except (asyncio.CancelledError, Exception):
pass
channel = self._client.get_channel(int(chat_id))
if channel:
await channel.typing()
except Exception:
pass # Ignore typing indicator failures
async def get_chat_info(self, chat_id: str) -> Dict[str, Any]:
"""Get information about a Discord channel."""
@@ -1483,25 +1359,16 @@ class DiscordAdapter(BasePlatformAdapter):
self,
interaction: discord.Interaction,
command_text: str,
followup_msg: str | None = None,
followup_msg: str = "Done~",
) -> None:
"""Common handler for simple slash commands that dispatch a command string.
Defers the interaction (shows "thinking..."), dispatches the command,
then cleans up the deferred response. If *followup_msg* is provided
the "thinking..." indicator is replaced with that text; otherwise it
is deleted so the channel isn't cluttered.
"""
"""Common handler for simple slash commands that dispatch a command string."""
await interaction.response.defer(ephemeral=True)
event = self._build_slash_event(interaction, command_text)
await self.handle_message(event)
try:
if followup_msg:
await interaction.edit_original_response(content=followup_msg)
else:
await interaction.delete_original_response()
await interaction.followup.send(followup_msg, ephemeral=True)
except Exception as e:
logger.debug("Discord interaction cleanup failed: %s", e)
logger.debug("Discord followup failed: %s", e)
def _register_slash_commands(self) -> None:
"""Register Discord slash commands on the command tree."""
@@ -1510,6 +1377,19 @@ class DiscordAdapter(BasePlatformAdapter):
tree = self._client.tree
@tree.command(name="ask", description="Ask Hermes a question")
@discord.app_commands.describe(question="Your question for Hermes")
async def slash_ask(interaction: discord.Interaction, question: str):
await interaction.response.defer()
event = self._build_slash_event(interaction, question)
await self.handle_message(event)
# The response is sent via the normal send() flow
# Send a followup to close the interaction if needed
try:
await interaction.followup.send("Processing complete~", ephemeral=True)
except Exception as e:
logger.debug("Discord followup failed: %s", e)
@tree.command(name="new", description="Start a new conversation")
async def slash_new(interaction: discord.Interaction):
await self._run_simple_slash(interaction, "/reset", "New conversation started~")
@@ -1526,7 +1406,13 @@ class DiscordAdapter(BasePlatformAdapter):
@tree.command(name="reasoning", description="Show or change reasoning effort")
@discord.app_commands.describe(effort="Reasoning effort: xhigh, high, medium, low, minimal, or none.")
async def slash_reasoning(interaction: discord.Interaction, effort: str = ""):
await self._run_simple_slash(interaction, f"/reasoning {effort}".strip())
await interaction.response.defer(ephemeral=True)
event = self._build_slash_event(interaction, f"/reasoning {effort}".strip())
await self.handle_message(event)
try:
await interaction.followup.send("Done~", ephemeral=True)
except Exception as e:
logger.debug("Discord followup failed: %s", e)
@tree.command(name="personality", description="Set a personality")
@discord.app_commands.describe(name="Personality name. Leave empty to list available.")
@@ -1599,7 +1485,13 @@ class DiscordAdapter(BasePlatformAdapter):
discord.app_commands.Choice(name="status — show current mode", value="status"),
])
async def slash_voice(interaction: discord.Interaction, mode: str = ""):
await self._run_simple_slash(interaction, f"/voice {mode}".strip())
await interaction.response.defer(ephemeral=True)
event = self._build_slash_event(interaction, f"/voice {mode}".strip())
await self.handle_message(event)
try:
await interaction.followup.send("Done~", ephemeral=True)
except Exception as e:
logger.debug("Discord followup failed: %s", e)
@tree.command(name="update", description="Update Hermes Agent to the latest version")
async def slash_update(interaction: discord.Interaction):
@@ -1623,17 +1515,7 @@ class DiscordAdapter(BasePlatformAdapter):
def _build_slash_event(self, interaction: discord.Interaction, text: str) -> MessageEvent:
"""Build a MessageEvent from a Discord slash command interaction."""
is_dm = isinstance(interaction.channel, discord.DMChannel)
is_thread = isinstance(interaction.channel, discord.Thread)
thread_id = None
if is_dm:
chat_type = "dm"
elif is_thread:
chat_type = "thread"
thread_id = str(interaction.channel_id)
else:
chat_type = "group"
chat_type = "dm" if is_dm else "group"
chat_name = ""
if not is_dm and hasattr(interaction.channel, "name"):
chat_name = interaction.channel.name
@@ -1649,7 +1531,6 @@ class DiscordAdapter(BasePlatformAdapter):
chat_type=chat_type,
user_id=str(interaction.user.id),
user_name=interaction.user.display_name,
thread_id=thread_id,
chat_topic=chat_topic,
)
@@ -1692,10 +1573,6 @@ class DiscordAdapter(BasePlatformAdapter):
link = f"<#{thread_id}>" if thread_id else f"**{thread_name}**"
await interaction.followup.send(f"Created thread {link}", ephemeral=True)
# Track thread participation so follow-ups don't require @mention
if thread_id:
self._track_thread(thread_id)
# If a message was provided, kick off a new Hermes session in the thread
starter = (message or "").strip()
if starter and thread_id:
@@ -1863,12 +1740,9 @@ class DiscordAdapter(BasePlatformAdapter):
if not channel:
channel = await self._client.fetch_channel(int(chat_id))
# Discord embed description limit is 4096; show full command up to that
max_desc = 4088
cmd_display = command if len(command) <= max_desc else command[: max_desc - 3] + "..."
embed = discord.Embed(
title="Command Approval Required",
description=f"```\n{cmd_display}\n```",
description=f"```\n{command[:500]}\n```",
color=discord.Color.orange(),
)
embed.set_footer(text=f"Approval ID: {approval_id}")
@@ -1924,49 +1798,6 @@ class DiscordAdapter(BasePlatformAdapter):
return f"{parent_name} / {thread_name}"
return thread_name
# ------------------------------------------------------------------
# Thread participation persistence
# ------------------------------------------------------------------
@staticmethod
def _thread_state_path() -> Path:
"""Path to the persisted thread participation set."""
from hermes_cli.config import get_hermes_home
return get_hermes_home() / "discord_threads.json"
@classmethod
def _load_participated_threads(cls) -> set:
"""Load persisted thread IDs from disk."""
path = cls._thread_state_path()
try:
if path.exists():
data = json.loads(path.read_text(encoding="utf-8"))
if isinstance(data, list):
return set(data)
except Exception as e:
logger.debug("Could not load discord thread state: %s", e)
return set()
def _save_participated_threads(self) -> None:
"""Persist the current thread set to disk (best-effort)."""
path = self._thread_state_path()
try:
# Trim to most recent entries if over cap
thread_list = list(self._bot_participated_threads)
if len(thread_list) > self._MAX_TRACKED_THREADS:
thread_list = thread_list[-self._MAX_TRACKED_THREADS:]
self._bot_participated_threads = set(thread_list)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(thread_list), encoding="utf-8")
except Exception as e:
logger.debug("Could not save discord thread state: %s", e)
def _track_thread(self, thread_id: str) -> None:
"""Add a thread to the participation set and persist."""
if thread_id not in self._bot_participated_threads:
self._bot_participated_threads.add(thread_id)
self._save_participated_threads()
async def _handle_message(self, message: DiscordMessage) -> None:
"""Handle incoming Discord messages."""
# In server channels (not DMs), require the bot to be @mentioned
@@ -2019,7 +1850,7 @@ class DiscordAdapter(BasePlatformAdapter):
is_thread = True
thread_id = str(thread.id)
auto_threaded_channel = thread
self._track_thread(thread_id)
self._bot_participated_threads.add(thread_id)
# Determine message type
msg_type = MessageType.TEXT
@@ -2036,12 +1867,7 @@ class DiscordAdapter(BasePlatformAdapter):
elif att.content_type.startswith("audio/"):
msg_type = MessageType.AUDIO
else:
doc_ext = ""
if att.filename:
_, doc_ext = os.path.splitext(att.filename)
doc_ext = doc_ext.lower()
if doc_ext in SUPPORTED_DOCUMENT_TYPES:
msg_type = MessageType.DOCUMENT
msg_type = MessageType.DOCUMENT
break
# When auto-threading kicked in, route responses to the new thread
@@ -2078,7 +1904,6 @@ class DiscordAdapter(BasePlatformAdapter):
# vision tool can access them reliably (Discord CDN URLs can expire).
media_urls = []
media_types = []
pending_text_injection: Optional[str] = None
for att in message.attachments:
content_type = att.content_type or "unknown"
if content_type.startswith("image/"):
@@ -2110,75 +1935,12 @@ class DiscordAdapter(BasePlatformAdapter):
media_urls.append(att.url)
media_types.append(content_type)
else:
# Document attachments: download, cache, and optionally inject text
ext = ""
if att.filename:
_, ext = os.path.splitext(att.filename)
ext = ext.lower()
if not ext and content_type:
mime_to_ext = {v: k for k, v in SUPPORTED_DOCUMENT_TYPES.items()}
ext = mime_to_ext.get(content_type, "")
if ext not in SUPPORTED_DOCUMENT_TYPES:
logger.warning(
"[Discord] Unsupported document type '%s' (%s), skipping",
ext or "unknown", content_type,
)
else:
MAX_DOC_BYTES = 20 * 1024 * 1024
if att.size and att.size > MAX_DOC_BYTES:
logger.warning(
"[Discord] Document too large (%s bytes), skipping: %s",
att.size, att.filename,
)
else:
try:
import aiohttp
async with aiohttp.ClientSession() as session:
async with session.get(
att.url,
timeout=aiohttp.ClientTimeout(total=30),
) as resp:
if resp.status != 200:
raise Exception(f"HTTP {resp.status}")
raw_bytes = await resp.read()
cached_path = cache_document_from_bytes(
raw_bytes, att.filename or f"document{ext}"
)
doc_mime = SUPPORTED_DOCUMENT_TYPES[ext]
media_urls.append(cached_path)
media_types.append(doc_mime)
logger.info("[Discord] Cached user document: %s", cached_path)
# Inject text content for .txt/.md files (capped at 100 KB)
MAX_TEXT_INJECT_BYTES = 100 * 1024
if ext in (".md", ".txt") and len(raw_bytes) <= MAX_TEXT_INJECT_BYTES:
try:
text_content = raw_bytes.decode("utf-8")
display_name = att.filename or f"document{ext}"
display_name = re.sub(r'[^\w.\- ]', '_', display_name)
injection = f"[Content of {display_name}]:\n{text_content}"
if pending_text_injection:
pending_text_injection = f"{pending_text_injection}\n\n{injection}"
else:
pending_text_injection = injection
except UnicodeDecodeError:
pass
except Exception as e:
logger.warning(
"[Discord] Failed to cache document %s: %s",
att.filename, e, exc_info=True,
)
# Other attachments: keep the original URL
media_urls.append(att.url)
media_types.append(content_type)
event_text = message.content
if pending_text_injection:
event_text = f"{pending_text_injection}\n\n{event_text}" if event_text else pending_text_injection
# Defense-in-depth: prevent empty user messages from entering session
# (can happen when user sends @mention-only with no other text)
if not event_text or not event_text.strip():
event_text = "(The user sent a message with no text content)"
event = MessageEvent(
text=event_text,
text=message.content,
message_type=msg_type,
source=source,
raw_message=message,
@@ -2192,7 +1954,7 @@ class DiscordAdapter(BasePlatformAdapter):
# Track thread participation so the bot won't require @mention for
# follow-up messages in threads it has already engaged in.
if thread_id:
self._track_thread(thread_id)
self._bot_participated_threads.add(thread_id)
await self.handle_message(event)

View File

@@ -24,6 +24,7 @@ import re
import smtplib
import ssl
import uuid
from datetime import datetime
from email.header import decode_header
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
@@ -43,20 +44,6 @@ from gateway.platforms.base import (
from gateway.config import Platform, PlatformConfig
logger = logging.getLogger(__name__)
# Automated sender patterns — emails from these are silently ignored
_NOREPLY_PATTERNS = (
"noreply", "no-reply", "no_reply", "donotreply", "do-not-reply",
"mailer-daemon", "postmaster", "bounce", "notifications@",
"automated@", "auto-confirm", "auto-reply", "automailer",
)
# RFC headers that indicate bulk/automated mail
_AUTOMATED_HEADERS = {
"Auto-Submitted": lambda v: v.lower() != "no",
"Precedence": lambda v: v.lower() in ("bulk", "list", "junk"),
"X-Auto-Response-Suppress": lambda v: bool(v),
"List-Unsubscribe": lambda v: bool(v),
}
# Gmail-safe max length per email body
MAX_MESSAGE_LENGTH = 50_000
@@ -64,17 +51,7 @@ MAX_MESSAGE_LENGTH = 50_000
# Supported image extensions for inline detection
_IMAGE_EXTS = {".jpg", ".jpeg", ".png", ".gif", ".webp"}
def _is_automated_sender(address: str, headers: dict) -> bool:
"""Return True if this email is from an automated/noreply source."""
addr = address.lower()
if any(pattern in addr for pattern in _NOREPLY_PATTERNS):
return True
for header, check in _AUTOMATED_HEADERS.items():
value = headers.get(header, "")
if value and check(value):
return True
return False
def check_email_requirements() -> bool:
"""Check if email platform dependencies are available."""
addr = os.getenv("EMAIL_ADDRESS")
@@ -158,23 +135,14 @@ def _extract_email_address(raw: str) -> str:
return raw.strip().lower()
def _extract_attachments(
msg: email_lib.message.Message,
skip_attachments: bool = False,
) -> List[Dict[str, Any]]:
"""Extract attachment metadata and cache files locally.
When *skip_attachments* is True, all attachment/inline parts are ignored
(useful for malware protection or bandwidth savings).
"""
def _extract_attachments(msg: email_lib.message.Message) -> List[Dict[str, Any]]:
"""Extract attachment metadata and cache files locally."""
attachments = []
if not msg.is_multipart():
return attachments
for part in msg.walk():
disposition = str(part.get("Content-Disposition", ""))
if skip_attachments and ("attachment" in disposition or "inline" in disposition):
continue
if "attachment" not in disposition and "inline" not in disposition:
continue
# Skip text/plain and text/html body parts
@@ -228,16 +196,8 @@ class EmailAdapter(BasePlatformAdapter):
self._smtp_port = int(os.getenv("EMAIL_SMTP_PORT", "587"))
self._poll_interval = int(os.getenv("EMAIL_POLL_INTERVAL", "15"))
# Skip attachments — configured via config.yaml:
# platforms:
# email:
# skip_attachments: true
extra = config.extra or {}
self._skip_attachments = extra.get("skip_attachments", False)
# Track message IDs we've already processed to avoid duplicates
self._seen_uids: set = set()
self._seen_uids_max: int = 2000 # cap to prevent unbounded memory growth
self._poll_task: Optional[asyncio.Task] = None
# Map chat_id (sender email) -> last subject + message-id for threading
@@ -245,40 +205,18 @@ class EmailAdapter(BasePlatformAdapter):
logger.info("[Email] Adapter initialized for %s", self._address)
def _trim_seen_uids(self) -> None:
"""Keep only the most recent UIDs to prevent unbounded memory growth.
IMAP UIDs are monotonically increasing integers. When the set grows
beyond the cap, we keep only the highest half — old UIDs are safe to
drop because new messages always have higher UIDs and IMAP's UNSEEN
flag prevents re-delivery regardless.
"""
if len(self._seen_uids) <= self._seen_uids_max:
return
try:
# UIDs are bytes like b'1234' — sort numerically and keep top half
sorted_uids = sorted(self._seen_uids, key=lambda u: int(u))
keep = self._seen_uids_max // 2
self._seen_uids = set(sorted_uids[-keep:])
logger.debug("[Email] Trimmed seen UIDs to %d entries", len(self._seen_uids))
except (ValueError, TypeError):
# Fallback: just clear old entries if sort fails
self._seen_uids = set(list(self._seen_uids)[-self._seen_uids_max // 2:])
async def connect(self) -> bool:
"""Connect to the IMAP server and start polling for new messages."""
try:
# Test IMAP connection
imap = imaplib.IMAP4_SSL(self._imap_host, self._imap_port, timeout=30)
imap = imaplib.IMAP4_SSL(self._imap_host, self._imap_port)
imap.login(self._address, self._password)
# Mark all existing messages as seen so we only process new ones
imap.select("INBOX")
status, data = imap.uid("search", None, "ALL")
if status == "OK" and data and data[0]:
if status == "OK" and data[0]:
for uid in data[0].split():
self._seen_uids.add(uid)
# Keep only the most recent UIDs to prevent unbounded growth
self._trim_seen_uids()
imap.logout()
logger.info("[Email] IMAP connection test passed. %d existing messages skipped.", len(self._seen_uids))
except Exception as e:
@@ -287,7 +225,7 @@ class EmailAdapter(BasePlatformAdapter):
try:
# Test SMTP connection
smtp = smtplib.SMTP(self._smtp_host, self._smtp_port, timeout=30)
smtp = smtplib.SMTP(self._smtp_host, self._smtp_port)
smtp.starttls(context=ssl.create_default_context())
smtp.login(self._address, self._password)
smtp.quit()
@@ -336,64 +274,53 @@ class EmailAdapter(BasePlatformAdapter):
"""Fetch new (unseen) messages from IMAP. Runs in executor thread."""
results = []
try:
imap = imaplib.IMAP4_SSL(self._imap_host, self._imap_port, timeout=30)
try:
imap.login(self._address, self._password)
imap.select("INBOX")
imap = imaplib.IMAP4_SSL(self._imap_host, self._imap_port)
imap.login(self._address, self._password)
imap.select("INBOX")
status, data = imap.uid("search", None, "UNSEEN")
if status != "OK" or not data or not data[0]:
return results
status, data = imap.uid("search", None, "UNSEEN")
if status != "OK" or not data[0]:
imap.logout()
return results
for uid in data[0].split():
if uid in self._seen_uids:
continue
self._seen_uids.add(uid)
# Trim periodically to prevent unbounded memory growth
if len(self._seen_uids) > self._seen_uids_max:
self._trim_seen_uids()
for uid in data[0].split():
if uid in self._seen_uids:
continue
self._seen_uids.add(uid)
status, msg_data = imap.uid("fetch", uid, "(RFC822)")
if status != "OK":
continue
status, msg_data = imap.uid("fetch", uid, "(RFC822)")
if status != "OK":
continue
raw_email = msg_data[0][1]
msg = email_lib.message_from_bytes(raw_email)
raw_email = msg_data[0][1]
msg = email_lib.message_from_bytes(raw_email)
sender_raw = msg.get("From", "")
sender_addr = _extract_email_address(sender_raw)
sender_name = _decode_header_value(sender_raw)
# Remove email from name if present
if "<" in sender_name:
sender_name = sender_name.split("<")[0].strip().strip('"')
sender_raw = msg.get("From", "")
sender_addr = _extract_email_address(sender_raw)
sender_name = _decode_header_value(sender_raw)
# Remove email from name if present
if "<" in sender_name:
sender_name = sender_name.split("<")[0].strip().strip('"')
subject = _decode_header_value(msg.get("Subject", "(no subject)"))
message_id = msg.get("Message-ID", "")
in_reply_to = msg.get("In-Reply-To", "")
# Skip automated/noreply senders before any processing
msg_headers = dict(msg.items())
if _is_automated_sender(sender_addr, msg_headers):
logger.debug("[Email] Skipping automated sender: %s", sender_addr)
continue
body = _extract_text_body(msg)
attachments = _extract_attachments(msg, skip_attachments=self._skip_attachments)
subject = _decode_header_value(msg.get("Subject", "(no subject)"))
message_id = msg.get("Message-ID", "")
in_reply_to = msg.get("In-Reply-To", "")
body = _extract_text_body(msg)
attachments = _extract_attachments(msg)
results.append({
"uid": uid,
"sender_addr": sender_addr,
"sender_name": sender_name,
"subject": subject,
"message_id": message_id,
"in_reply_to": in_reply_to,
"body": body,
"attachments": attachments,
"date": msg.get("Date", ""),
})
finally:
try:
imap.logout()
except Exception:
pass
results.append({
"uid": uid,
"sender_addr": sender_addr,
"sender_name": sender_name,
"subject": subject,
"message_id": message_id,
"in_reply_to": in_reply_to,
"body": body,
"attachments": attachments,
"date": msg.get("Date", ""),
})
imap.logout()
except Exception as e:
logger.error("[Email] IMAP fetch error: %s", e)
return results
@@ -406,11 +333,6 @@ class EmailAdapter(BasePlatformAdapter):
if sender_addr == self._address.lower():
return
# Never reply to automated senders
if _is_automated_sender(sender_addr, {}):
logger.debug("[Email] Dropping automated sender at dispatch: %s", sender_addr)
return
subject = msg_data["subject"]
body = msg_data["body"].strip()
attachments = msg_data["attachments"]
@@ -505,22 +427,18 @@ class EmailAdapter(BasePlatformAdapter):
msg.attach(MIMEText(body, "plain", "utf-8"))
smtp = smtplib.SMTP(self._smtp_host, self._smtp_port, timeout=30)
try:
smtp.starttls(context=ssl.create_default_context())
smtp.login(self._address, self._password)
smtp.send_message(msg)
finally:
try:
smtp.quit()
except Exception:
smtp.close()
smtp = smtplib.SMTP(self._smtp_host, self._smtp_port)
smtp.starttls(context=ssl.create_default_context())
smtp.login(self._address, self._password)
smtp.send_message(msg)
smtp.quit()
logger.info("[Email] Sent reply to %s (subject: %s)", to_addr, subject)
return msg_id
async def send_typing(self, chat_id: str, metadata: Optional[Dict[str, Any]] = None) -> None:
async def send_typing(self, chat_id: str) -> None:
"""Email has no typing indicator — no-op."""
pass
async def send_image(
self,
@@ -597,16 +515,11 @@ class EmailAdapter(BasePlatformAdapter):
part.add_header("Content-Disposition", f"attachment; filename={fname}")
msg.attach(part)
smtp = smtplib.SMTP(self._smtp_host, self._smtp_port, timeout=30)
try:
smtp.starttls(context=ssl.create_default_context())
smtp.login(self._address, self._password)
smtp.send_message(msg)
finally:
try:
smtp.quit()
except Exception:
smtp.close()
smtp = smtplib.SMTP(self._smtp_host, self._smtp_port)
smtp.starttls(context=ssl.create_default_context())
smtp.login(self._address, self._password)
smtp.send_message(msg)
smtp.quit()
return msg_id

File diff suppressed because it is too large Load Diff

View File

@@ -19,7 +19,7 @@ import os
import time
import uuid
from datetime import datetime
from typing import Any, Dict, Optional, Set
from typing import Any, Dict, List, Optional, Set
try:
import aiohttp
@@ -114,9 +114,7 @@ class HomeAssistantAdapter(BasePlatformAdapter):
return False
# Dedicated REST session for send() calls
self._rest_session = aiohttp.ClientSession(
timeout=aiohttp.ClientTimeout(total=30)
)
self._rest_session = aiohttp.ClientSession()
# Warn if no event filters are configured
if not self._watch_domains and not self._watch_entities and not self._watch_all:
@@ -142,10 +140,8 @@ class HomeAssistantAdapter(BasePlatformAdapter):
ws_url = self._hass_url.replace("http://", "ws://").replace("https://", "wss://")
ws_url = f"{ws_url}/api/websocket"
self._session = aiohttp.ClientSession(
timeout=aiohttp.ClientTimeout(total=30)
)
self._ws = await self._session.ws_connect(ws_url, heartbeat=30, timeout=30)
self._session = aiohttp.ClientSession()
self._ws = await self._session.ws_connect(ws_url, heartbeat=30)
# Step 1: Receive auth_required
msg = await self._ws.receive_json()
@@ -439,6 +435,7 @@ class HomeAssistantAdapter(BasePlatformAdapter):
async def send_typing(self, chat_id: str, metadata=None) -> None:
"""No typing indicator for Home Assistant."""
pass
async def get_chat_info(self, chat_id: str) -> Dict[str, Any]:
"""Return basic info about the HA event channel."""

File diff suppressed because it is too large Load Diff

View File

@@ -1,723 +0,0 @@
"""Mattermost gateway adapter.
Connects to a self-hosted (or cloud) Mattermost instance via its REST API
(v4) and WebSocket for real-time events. No external Mattermost library
required — uses aiohttp which is already a Hermes dependency.
Environment variables:
MATTERMOST_URL Server URL (e.g. https://mm.example.com)
MATTERMOST_TOKEN Bot token or personal-access token
MATTERMOST_ALLOWED_USERS Comma-separated user IDs
MATTERMOST_HOME_CHANNEL Channel ID for cron/notification delivery
"""
from __future__ import annotations
import asyncio
import json
import logging
import os
import re
import time
from pathlib import Path
from typing import Any, Dict, List, Optional
from gateway.config import Platform, PlatformConfig
from gateway.platforms.base import (
BasePlatformAdapter,
MessageEvent,
MessageType,
SendResult,
)
logger = logging.getLogger(__name__)
# Mattermost post size limit (server default is 16383, but 4000 is the
# practical limit for readable messages — matching OpenClaw's choice).
MAX_POST_LENGTH = 4000
# Channel type codes returned by the Mattermost API.
_CHANNEL_TYPE_MAP = {
"D": "dm",
"G": "group",
"P": "group", # private channel → treat as group
"O": "channel",
}
# Reconnect parameters (exponential backoff).
_RECONNECT_BASE_DELAY = 2.0
_RECONNECT_MAX_DELAY = 60.0
_RECONNECT_JITTER = 0.2
def check_mattermost_requirements() -> bool:
"""Return True if the Mattermost adapter can be used."""
token = os.getenv("MATTERMOST_TOKEN", "")
url = os.getenv("MATTERMOST_URL", "")
if not token:
logger.debug("Mattermost: MATTERMOST_TOKEN not set")
return False
if not url:
logger.warning("Mattermost: MATTERMOST_URL not set")
return False
try:
import aiohttp # noqa: F401
return True
except ImportError:
logger.warning("Mattermost: aiohttp not installed")
return False
class MattermostAdapter(BasePlatformAdapter):
"""Gateway adapter for Mattermost (self-hosted or cloud)."""
def __init__(self, config: PlatformConfig):
super().__init__(config, Platform.MATTERMOST)
self._base_url: str = (
config.extra.get("url", "")
or os.getenv("MATTERMOST_URL", "")
).rstrip("/")
self._token: str = config.token or os.getenv("MATTERMOST_TOKEN", "")
self._bot_user_id: str = ""
self._bot_username: str = ""
# aiohttp session + websocket handle
self._session: Any = None # aiohttp.ClientSession
self._ws: Any = None # aiohttp.ClientWebSocketResponse
self._ws_task: Optional[asyncio.Task] = None
self._reconnect_task: Optional[asyncio.Task] = None
self._closing = False
# Reply mode: "thread" to nest replies, "off" for flat messages.
self._reply_mode: str = (
config.extra.get("reply_mode", "")
or os.getenv("MATTERMOST_REPLY_MODE", "off")
).lower()
# Dedup cache: post_id → timestamp (prevent reprocessing)
self._seen_posts: Dict[str, float] = {}
self._SEEN_MAX = 2000
self._SEEN_TTL = 300 # 5 minutes
# ------------------------------------------------------------------
# HTTP helpers
# ------------------------------------------------------------------
def _headers(self) -> Dict[str, str]:
return {
"Authorization": f"Bearer {self._token}",
"Content-Type": "application/json",
}
async def _api_get(self, path: str) -> Dict[str, Any]:
"""GET /api/v4/{path}."""
import aiohttp
url = f"{self._base_url}/api/v4/{path.lstrip('/')}"
try:
async with self._session.get(url, headers=self._headers(), timeout=aiohttp.ClientTimeout(total=30)) as resp:
if resp.status >= 400:
body = await resp.text()
logger.error("MM API GET %s%s: %s", path, resp.status, body[:200])
return {}
return await resp.json()
except aiohttp.ClientError as exc:
logger.error("MM API GET %s network error: %s", path, exc)
return {}
async def _api_post(
self, path: str, payload: Dict[str, Any]
) -> Dict[str, Any]:
"""POST /api/v4/{path} with JSON body."""
import aiohttp
url = f"{self._base_url}/api/v4/{path.lstrip('/')}"
try:
async with self._session.post(
url, headers=self._headers(), json=payload,
timeout=aiohttp.ClientTimeout(total=30)
) as resp:
if resp.status >= 400:
body = await resp.text()
logger.error("MM API POST %s%s: %s", path, resp.status, body[:200])
return {}
return await resp.json()
except aiohttp.ClientError as exc:
logger.error("MM API POST %s network error: %s", path, exc)
return {}
async def _api_put(
self, path: str, payload: Dict[str, Any]
) -> Dict[str, Any]:
"""PUT /api/v4/{path} with JSON body."""
import aiohttp
url = f"{self._base_url}/api/v4/{path.lstrip('/')}"
try:
async with self._session.put(
url, headers=self._headers(), json=payload
) as resp:
if resp.status >= 400:
body = await resp.text()
logger.error("MM API PUT %s%s: %s", path, resp.status, body[:200])
return {}
return await resp.json()
except aiohttp.ClientError as exc:
logger.error("MM API PUT %s network error: %s", path, exc)
return {}
async def _upload_file(
self, channel_id: str, file_data: bytes, filename: str, content_type: str = "application/octet-stream"
) -> Optional[str]:
"""Upload a file and return its file ID, or None on failure."""
import aiohttp
url = f"{self._base_url}/api/v4/files"
form = aiohttp.FormData()
form.add_field("channel_id", channel_id)
form.add_field(
"files",
file_data,
filename=filename,
content_type=content_type,
)
headers = {"Authorization": f"Bearer {self._token}"}
async with self._session.post(url, headers=headers, data=form, timeout=aiohttp.ClientTimeout(total=60)) as resp:
if resp.status >= 400:
body = await resp.text()
logger.error("MM file upload → %s: %s", resp.status, body[:200])
return None
data = await resp.json()
infos = data.get("file_infos", [])
return infos[0]["id"] if infos else None
# ------------------------------------------------------------------
# Required overrides
# ------------------------------------------------------------------
async def connect(self) -> bool:
"""Connect to Mattermost and start the WebSocket listener."""
import aiohttp
if not self._base_url or not self._token:
logger.error("Mattermost: URL or token not configured")
return False
self._session = aiohttp.ClientSession(
timeout=aiohttp.ClientTimeout(total=30)
)
self._closing = False
# Verify credentials and fetch bot identity.
me = await self._api_get("users/me")
if not me or "id" not in me:
logger.error("Mattermost: failed to authenticate — check MATTERMOST_TOKEN and MATTERMOST_URL")
await self._session.close()
return False
self._bot_user_id = me["id"]
self._bot_username = me.get("username", "")
logger.info(
"Mattermost: authenticated as @%s (%s) on %s",
self._bot_username,
self._bot_user_id,
self._base_url,
)
# Start WebSocket in background.
self._ws_task = asyncio.create_task(self._ws_loop())
self._mark_connected()
return True
async def disconnect(self) -> None:
"""Disconnect from Mattermost."""
self._closing = True
if self._ws_task and not self._ws_task.done():
self._ws_task.cancel()
try:
await self._ws_task
except (asyncio.CancelledError, Exception):
pass
if self._reconnect_task and not self._reconnect_task.done():
self._reconnect_task.cancel()
if self._ws:
await self._ws.close()
self._ws = None
if self._session and not self._session.closed:
await self._session.close()
logger.info("Mattermost: disconnected")
async def send(
self,
chat_id: str,
content: str,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send a message (or multiple chunks) to a channel."""
if not content:
return SendResult(success=True)
formatted = self.format_message(content)
chunks = self.truncate_message(formatted, MAX_POST_LENGTH)
last_id = None
for chunk in chunks:
payload: Dict[str, Any] = {
"channel_id": chat_id,
"message": chunk,
}
# Thread support: reply_to is the root post ID.
if reply_to and self._reply_mode == "thread":
payload["root_id"] = reply_to
data = await self._api_post("posts", payload)
if not data or "id" not in data:
return SendResult(success=False, error="Failed to create post")
last_id = data["id"]
return SendResult(success=True, message_id=last_id)
async def get_chat_info(self, chat_id: str) -> Dict[str, Any]:
"""Return channel name and type."""
data = await self._api_get(f"channels/{chat_id}")
if not data:
return {"name": chat_id, "type": "channel"}
ch_type = _CHANNEL_TYPE_MAP.get(data.get("type", "O"), "channel")
display_name = data.get("display_name") or data.get("name") or chat_id
return {"name": display_name, "type": ch_type}
# ------------------------------------------------------------------
# Optional overrides
# ------------------------------------------------------------------
async def send_typing(
self, chat_id: str, metadata: Optional[Dict[str, Any]] = None
) -> None:
"""Send a typing indicator."""
await self._api_post(
f"users/{self._bot_user_id}/typing",
{"channel_id": chat_id},
)
async def edit_message(
self, chat_id: str, message_id: str, content: str
) -> SendResult:
"""Edit an existing post."""
formatted = self.format_message(content)
data = await self._api_put(
f"posts/{message_id}/patch",
{"message": formatted},
)
if not data or "id" not in data:
return SendResult(success=False, error="Failed to edit post")
return SendResult(success=True, message_id=data["id"])
async def send_image(
self,
chat_id: str,
image_url: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Download an image and upload it as a file attachment."""
return await self._send_url_as_file(
chat_id, image_url, caption, reply_to, "image"
)
async def send_image_file(
self,
chat_id: str,
image_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Upload a local image file."""
return await self._send_local_file(
chat_id, image_path, caption, reply_to
)
async def send_document(
self,
chat_id: str,
file_path: str,
caption: Optional[str] = None,
file_name: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Upload a local file as a document."""
return await self._send_local_file(
chat_id, file_path, caption, reply_to, file_name
)
async def send_voice(
self,
chat_id: str,
audio_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Upload an audio file."""
return await self._send_local_file(
chat_id, audio_path, caption, reply_to
)
async def send_video(
self,
chat_id: str,
video_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Upload a video file."""
return await self._send_local_file(
chat_id, video_path, caption, reply_to
)
def format_message(self, content: str) -> str:
"""Mattermost uses standard Markdown — mostly pass through.
Strip image markdown into plain links (files are uploaded separately).
"""
# Convert ![alt](url) to just the URL — Mattermost renders
# image URLs as inline previews automatically.
content = re.sub(r"!\[([^\]]*)\]\(([^)]+)\)", r"\2", content)
return content
# ------------------------------------------------------------------
# File helpers
# ------------------------------------------------------------------
async def _send_url_as_file(
self,
chat_id: str,
url: str,
caption: Optional[str],
reply_to: Optional[str],
kind: str = "file",
) -> SendResult:
"""Download a URL and upload it as a file attachment."""
import asyncio
import aiohttp
last_exc = None
file_data = None
ct = "application/octet-stream"
fname = url.rsplit("/", 1)[-1].split("?")[0] or f"{kind}.png"
for attempt in range(3):
try:
async with self._session.get(url, timeout=aiohttp.ClientTimeout(total=30)) as resp:
if resp.status >= 500 or resp.status == 429:
if attempt < 2:
logger.debug("Mattermost download retry %d/2 for %s (status %d)",
attempt + 1, url[:80], resp.status)
await asyncio.sleep(1.5 * (attempt + 1))
continue
if resp.status >= 400:
return await self.send(chat_id, f"{caption or ''}\n{url}".strip(), reply_to)
file_data = await resp.read()
ct = resp.content_type or "application/octet-stream"
break
except (aiohttp.ClientError, asyncio.TimeoutError) as exc:
last_exc = exc
if attempt < 2:
await asyncio.sleep(1.5 * (attempt + 1))
continue
logger.warning("Mattermost: failed to download %s after %d attempts: %s", url, attempt + 1, exc)
return await self.send(chat_id, f"{caption or ''}\n{url}".strip(), reply_to)
if file_data is None:
logger.warning("Mattermost: download returned no data for %s", url)
return await self.send(chat_id, f"{caption or ''}\n{url}".strip(), reply_to)
file_id = await self._upload_file(chat_id, file_data, fname, ct)
if not file_id:
return await self.send(chat_id, f"{caption or ''}\n{url}".strip(), reply_to)
payload: Dict[str, Any] = {
"channel_id": chat_id,
"message": caption or "",
"file_ids": [file_id],
}
if reply_to and self._reply_mode == "thread":
payload["root_id"] = reply_to
data = await self._api_post("posts", payload)
if not data or "id" not in data:
return SendResult(success=False, error="Failed to post with file")
return SendResult(success=True, message_id=data["id"])
async def _send_local_file(
self,
chat_id: str,
file_path: str,
caption: Optional[str],
reply_to: Optional[str],
file_name: Optional[str] = None,
) -> SendResult:
"""Upload a local file and attach it to a post."""
import mimetypes
p = Path(file_path)
if not p.exists():
return await self.send(
chat_id, f"{caption or ''}\n(file not found: {file_path})", reply_to
)
fname = file_name or p.name
ct = mimetypes.guess_type(fname)[0] or "application/octet-stream"
file_data = p.read_bytes()
file_id = await self._upload_file(chat_id, file_data, fname, ct)
if not file_id:
return SendResult(success=False, error="File upload failed")
payload: Dict[str, Any] = {
"channel_id": chat_id,
"message": caption or "",
"file_ids": [file_id],
}
if reply_to and self._reply_mode == "thread":
payload["root_id"] = reply_to
data = await self._api_post("posts", payload)
if not data or "id" not in data:
return SendResult(success=False, error="Failed to post with file")
return SendResult(success=True, message_id=data["id"])
# ------------------------------------------------------------------
# WebSocket
# ------------------------------------------------------------------
async def _ws_loop(self) -> None:
"""Connect to the WebSocket and listen for events, reconnecting on failure."""
delay = _RECONNECT_BASE_DELAY
while not self._closing:
try:
await self._ws_connect_and_listen()
# Clean disconnect — reset delay.
delay = _RECONNECT_BASE_DELAY
except asyncio.CancelledError:
return
except Exception as exc:
if self._closing:
return
logger.warning("Mattermost WS error: %s — reconnecting in %.0fs", exc, delay)
if self._closing:
return
# Exponential backoff with jitter.
import random
jitter = delay * _RECONNECT_JITTER * random.random()
await asyncio.sleep(delay + jitter)
delay = min(delay * 2, _RECONNECT_MAX_DELAY)
async def _ws_connect_and_listen(self) -> None:
"""Single WebSocket session: connect, authenticate, process events."""
# Build WS URL: https:// → wss://, http:// → ws://
ws_url = re.sub(r"^http", "ws", self._base_url) + "/api/v4/websocket"
logger.info("Mattermost: connecting to %s", ws_url)
self._ws = await self._session.ws_connect(ws_url, heartbeat=30.0)
# Authenticate via the WebSocket.
auth_msg = {
"seq": 1,
"action": "authentication_challenge",
"data": {"token": self._token},
}
await self._ws.send_json(auth_msg)
logger.info("Mattermost: WebSocket connected and authenticated")
async for raw_msg in self._ws:
if self._closing:
return
if raw_msg.type in (
raw_msg.type.TEXT,
raw_msg.type.BINARY,
):
try:
event = json.loads(raw_msg.data)
except (json.JSONDecodeError, TypeError):
continue
await self._handle_ws_event(event)
elif raw_msg.type in (
raw_msg.type.ERROR,
raw_msg.type.CLOSE,
raw_msg.type.CLOSING,
raw_msg.type.CLOSED,
):
logger.info("Mattermost: WebSocket closed (%s)", raw_msg.type)
break
async def _handle_ws_event(self, event: Dict[str, Any]) -> None:
"""Process a single WebSocket event."""
event_type = event.get("event")
if event_type != "posted":
return
data = event.get("data", {})
raw_post_str = data.get("post")
if not raw_post_str:
return
try:
post = json.loads(raw_post_str)
except (json.JSONDecodeError, TypeError):
return
# Ignore own messages.
if post.get("user_id") == self._bot_user_id:
return
# Ignore system posts.
if post.get("type"):
return
post_id = post.get("id", "")
# Dedup.
self._prune_seen()
if post_id in self._seen_posts:
return
self._seen_posts[post_id] = time.time()
# Build message event.
channel_id = post.get("channel_id", "")
channel_type_raw = data.get("channel_type", "O")
chat_type = _CHANNEL_TYPE_MAP.get(channel_type_raw, "channel")
# For DMs, user_id is sufficient. For channels, check for @mention.
message_text = post.get("message", "")
# Mention-gating for non-DM channels.
# Config (env vars):
# MATTERMOST_REQUIRE_MENTION: Require @mention in channels (default: true)
# MATTERMOST_FREE_RESPONSE_CHANNELS: Channel IDs where bot responds without mention
if channel_type_raw != "D":
require_mention = os.getenv(
"MATTERMOST_REQUIRE_MENTION", "true"
).lower() not in ("false", "0", "no")
free_channels_raw = os.getenv("MATTERMOST_FREE_RESPONSE_CHANNELS", "")
free_channels = {ch.strip() for ch in free_channels_raw.split(",") if ch.strip()}
is_free_channel = channel_id in free_channels
mention_patterns = [
f"@{self._bot_username}",
f"@{self._bot_user_id}",
]
has_mention = any(
pattern.lower() in message_text.lower()
for pattern in mention_patterns
)
if require_mention and not is_free_channel and not has_mention:
logger.debug(
"Mattermost: skipping non-DM message without @mention (channel=%s)",
channel_id,
)
return
# Strip @mention from the message text so the agent sees clean input.
if has_mention:
for pattern in mention_patterns:
message_text = re.sub(
re.escape(pattern), "", message_text, flags=re.IGNORECASE
).strip()
# Resolve sender info.
sender_id = post.get("user_id", "")
sender_name = data.get("sender_name", "").lstrip("@") or sender_id
# Thread support: if the post is in a thread, use root_id.
thread_id = post.get("root_id") or None
# Determine message type.
file_ids = post.get("file_ids") or []
msg_type = MessageType.TEXT
if message_text.startswith("/"):
msg_type = MessageType.COMMAND
# Download file attachments immediately (URLs require auth headers
# that downstream tools won't have).
media_urls: List[str] = []
media_types: List[str] = []
for fid in file_ids:
try:
file_info = await self._api_get(f"files/{fid}/info")
fname = file_info.get("name", f"file_{fid}")
ext = Path(fname).suffix or ""
mime = file_info.get("mime_type", "application/octet-stream")
import aiohttp
dl_url = f"{self._base_url}/api/v4/files/{fid}"
async with self._session.get(
dl_url,
headers={"Authorization": f"Bearer {self._token}"},
timeout=aiohttp.ClientTimeout(total=30),
) as resp:
if resp.status < 400:
file_data = await resp.read()
from gateway.platforms.base import cache_image_from_bytes, cache_document_from_bytes
if mime.startswith("image/"):
local_path = cache_image_from_bytes(file_data, ext or ".png")
media_urls.append(local_path)
media_types.append(mime)
elif mime.startswith("audio/"):
from gateway.platforms.base import cache_audio_from_bytes
local_path = cache_audio_from_bytes(file_data, ext or ".ogg")
media_urls.append(local_path)
media_types.append(mime)
else:
local_path = cache_document_from_bytes(file_data, fname)
media_urls.append(local_path)
media_types.append(mime)
else:
logger.warning("Mattermost: failed to download file %s: HTTP %s", fid, resp.status)
except Exception as exc:
logger.warning("Mattermost: error downloading file %s: %s", fid, exc)
source = self.build_source(
chat_id=channel_id,
chat_type=chat_type,
user_id=sender_id,
user_name=sender_name,
thread_id=thread_id,
)
msg_event = MessageEvent(
text=message_text,
message_type=msg_type,
source=source,
raw_message=post,
message_id=post_id,
media_urls=media_urls if media_urls else None,
media_types=media_types if media_types else None,
)
await self.handle_message(msg_event)
def _prune_seen(self) -> None:
"""Remove expired entries from the dedup cache."""
if len(self._seen_posts) < self._SEEN_MAX:
return
now = time.time()
self._seen_posts = {
pid: ts
for pid, ts in self._seen_posts.items()
if now - ts < self._SEEN_TTL
}

View File

@@ -22,7 +22,7 @@ import time
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Optional, Any
from urllib.parse import quote, unquote
from urllib.parse import unquote
import httpx
@@ -179,13 +179,6 @@ class SignalAdapter(BasePlatformAdapter):
# Normalize account for self-message filtering
self._account_normalized = self.account.strip()
# Track recently sent message timestamps to prevent echo-back loops
# in Note to Self / self-chat mode (mirrors WhatsApp recentlySentIds)
self._recent_sent_timestamps: set = set()
self._max_recent_timestamps = 50
self._phone_lock_identity: Optional[str] = None
logger.info("Signal adapter initialized: url=%s account=%s groups=%s",
self.http_url, _redact_phone(self.account),
"enabled" if self.group_allow_from else "disabled")
@@ -200,29 +193,6 @@ class SignalAdapter(BasePlatformAdapter):
logger.error("Signal: SIGNAL_HTTP_URL and SIGNAL_ACCOUNT are required")
return False
# Acquire scoped lock to prevent duplicate Signal listeners for the same phone
try:
from gateway.status import acquire_scoped_lock
self._phone_lock_identity = self.account
acquired, existing = acquire_scoped_lock(
"signal-phone",
self._phone_lock_identity,
metadata={"platform": self.platform.value},
)
if not acquired:
owner_pid = existing.get("pid") if isinstance(existing, dict) else None
message = (
"Another local Hermes gateway is already using this Signal account"
+ (f" (PID {owner_pid})." if owner_pid else ".")
+ " Stop the other gateway before starting a second Signal listener."
)
logger.error("Signal: %s", message)
self._set_fatal_error("signal_phone_lock", message, retryable=False)
return False
except Exception as e:
logger.warning("Signal: Could not acquire phone lock (non-fatal): %s", e)
self.client = httpx.AsyncClient(timeout=30.0)
# Health check — verify signal-cli daemon is reachable
@@ -270,14 +240,6 @@ class SignalAdapter(BasePlatformAdapter):
await self.client.aclose()
self.client = None
if self._phone_lock_identity:
try:
from gateway.status import release_scoped_lock
release_scoped_lock("signal-phone", self._phone_lock_identity)
except Exception as e:
logger.warning("Signal: Error releasing phone lock: %s", e, exc_info=True)
self._phone_lock_identity = None
logger.info("Signal: disconnected")
# ------------------------------------------------------------------
@@ -286,7 +248,7 @@ class SignalAdapter(BasePlatformAdapter):
async def _sse_listener(self) -> None:
"""Listen for SSE events from signal-cli daemon."""
url = f"{self.http_url}/api/v1/events?account={quote(self.account, safe='')}"
url = f"{self.http_url}/api/v1/events?account={self.account}"
backoff = SSE_RETRY_DELAY_INITIAL
while self._running:
@@ -312,12 +274,6 @@ class SignalAdapter(BasePlatformAdapter):
line = line.strip()
if not line:
continue
# SSE keepalive comments (":") prove the connection
# is alive — update activity so the health monitor
# doesn't report false idle warnings.
if line.startswith(":"):
self._last_sse_activity = time.time()
continue
# Parse SSE data lines
if line.startswith("data:"):
data_str = line[5:].strip()
@@ -383,9 +339,7 @@ class SignalAdapter(BasePlatformAdapter):
"""Force SSE reconnection by closing the current response."""
if self._sse_response and not self._sse_response.is_stream_consumed:
try:
task = asyncio.create_task(self._sse_response.aclose())
self._background_tasks.add(task)
task.add_done_callback(self._background_tasks.discard)
asyncio.create_task(self._sse_response.aclose())
except Exception:
pass
self._sse_response = None
@@ -399,26 +353,10 @@ class SignalAdapter(BasePlatformAdapter):
# Unwrap nested envelope if present
envelope_data = envelope.get("envelope", envelope)
# Handle syncMessage: extract "Note to Self" messages (sent to own account)
# while still filtering other sync events (read receipts, typing, etc.)
is_note_to_self = False
# Filter syncMessage envelopes (sent transcripts, read receipts, etc.)
# signal-cli may set syncMessage to null vs omitting it, so check key existence
if "syncMessage" in envelope_data:
sync_msg = envelope_data.get("syncMessage")
if sync_msg and isinstance(sync_msg, dict):
sent_msg = sync_msg.get("sentMessage")
if sent_msg and isinstance(sent_msg, dict):
dest = sent_msg.get("destinationNumber") or sent_msg.get("destination")
sent_ts = sent_msg.get("timestamp")
if dest == self._account_normalized:
# Check if this is an echo of our own outbound reply
if sent_ts and sent_ts in self._recent_sent_timestamps:
self._recent_sent_timestamps.discard(sent_ts)
return
# Genuine user Note to Self — promote to dataMessage
is_note_to_self = True
envelope_data = {**envelope_data, "dataMessage": sent_msg}
if not is_note_to_self:
return
return
# Extract sender info
sender = (
@@ -433,8 +371,8 @@ class SignalAdapter(BasePlatformAdapter):
logger.debug("Signal: ignoring envelope with no sender")
return
# Self-message filtering — prevent reply loops (but allow Note to Self)
if self._account_normalized and sender == self._account_normalized and not is_note_to_self:
# Self-message filtering — prevent reply loops
if self._account_normalized and sender == self._account_normalized:
return
# Filter stories
@@ -519,7 +457,7 @@ class SignalAdapter(BasePlatformAdapter):
if any(mt.startswith("audio/") for mt in media_types):
msg_type = MessageType.VOICE
elif any(mt.startswith("image/") for mt in media_types):
msg_type = MessageType.PHOTO
msg_type = MessageType.IMAGE
# Parse timestamp from envelope data (milliseconds since epoch)
ts_ms = envelope_data.get("timestamp", 0)
@@ -554,19 +492,12 @@ class SignalAdapter(BasePlatformAdapter):
"""Fetch an attachment via JSON-RPC and cache it. Returns (path, ext)."""
result = await self._rpc("getAttachment", {
"account": self.account,
"id": attachment_id,
"attachmentId": attachment_id,
})
if not result:
return None, ""
# Handle dict response (signal-cli returns {"data": "base64..."})
if isinstance(result, dict):
result = result.get("data")
if not result:
logger.warning("Signal: attachment response missing 'data' key")
return None, ""
# Result is base64-encoded file content
raw_data = base64.b64decode(result)
ext = _guess_extension(raw_data)
@@ -646,18 +577,9 @@ class SignalAdapter(BasePlatformAdapter):
result = await self._rpc("send", params)
if result is not None:
self._track_sent_timestamp(result)
return SendResult(success=True)
return SendResult(success=False, error="RPC send failed")
def _track_sent_timestamp(self, rpc_result) -> None:
"""Record outbound message timestamp for echo-back filtering."""
ts = rpc_result.get("timestamp") if isinstance(rpc_result, dict) else None
if ts:
self._recent_sent_timestamps.add(ts)
if len(self._recent_sent_timestamps) > self._max_recent_timestamps:
self._recent_sent_timestamps.pop()
async def send_typing(self, chat_id: str, metadata=None) -> None:
"""Send a typing indicator."""
params: Dict[str, Any] = {
@@ -713,7 +635,6 @@ class SignalAdapter(BasePlatformAdapter):
result = await self._rpc("send", params)
if result is not None:
self._track_sent_timestamp(result)
return SendResult(success=True)
return SendResult(success=False, error="RPC send with attachment failed")
@@ -744,7 +665,6 @@ class SignalAdapter(BasePlatformAdapter):
result = await self._rpc("send", params)
if result is not None:
self._track_sent_timestamp(result)
return SendResult(success=True)
return SendResult(success=False, error="RPC send document failed")

View File

@@ -9,11 +9,10 @@ Uses slack-bolt (Python) with Socket Mode for:
"""
import asyncio
import json
import logging
import os
import re
from typing import Dict, Optional, Any
from typing import Dict, List, Optional, Any
try:
from slack_bolt.async_app import AsyncApp
@@ -38,6 +37,8 @@ from gateway.platforms.base import (
SendResult,
SUPPORTED_DOCUMENT_TYPES,
cache_document_from_bytes,
cache_image_from_url,
cache_audio_from_url,
)
@@ -73,11 +74,6 @@ class SlackAdapter(BasePlatformAdapter):
self._handler: Optional[AsyncSocketModeHandler] = None
self._bot_user_id: Optional[str] = None
self._user_name_cache: Dict[str, str] = {} # user_id → display name
self._socket_mode_task: Optional[asyncio.Task] = None
# Multi-workspace support
self._team_clients: Dict[str, AsyncWebClient] = {} # team_id → WebClient
self._team_bot_user_ids: Dict[str, str] = {} # team_id → bot_user_id
self._channel_team: Dict[str, str] = {} # channel_id → team_id
async def connect(self) -> bool:
"""Connect to Slack via Socket Mode."""
@@ -87,70 +83,23 @@ class SlackAdapter(BasePlatformAdapter):
)
return False
raw_token = self.config.token
bot_token = self.config.token
app_token = os.getenv("SLACK_APP_TOKEN")
if not raw_token:
if not bot_token:
logger.error("[Slack] SLACK_BOT_TOKEN not set")
return False
if not app_token:
logger.error("[Slack] SLACK_APP_TOKEN not set")
return False
# Support comma-separated bot tokens for multi-workspace
bot_tokens = [t.strip() for t in raw_token.split(",") if t.strip()]
# Also load tokens from OAuth token file
from hermes_constants import get_hermes_home
tokens_file = get_hermes_home() / "slack_tokens.json"
if tokens_file.exists():
try:
saved = json.loads(tokens_file.read_text(encoding="utf-8"))
for team_id, entry in saved.items():
tok = entry.get("token", "") if isinstance(entry, dict) else ""
if tok and tok not in bot_tokens:
bot_tokens.append(tok)
team_label = entry.get("team_name", team_id) if isinstance(entry, dict) else team_id
logger.info("[Slack] Loaded saved token for workspace %s", team_label)
except Exception as e:
logger.warning("[Slack] Failed to read %s: %s", tokens_file, e)
try:
# Acquire scoped lock to prevent duplicate app token usage
from gateway.status import acquire_scoped_lock
self._token_lock_identity = app_token
acquired, existing = acquire_scoped_lock('slack-app-token', app_token, metadata={'platform': 'slack'})
if not acquired:
owner_pid = existing.get('pid') if isinstance(existing, dict) else None
message = f'Slack app token already in use' + (f' (PID {owner_pid})' if owner_pid else '') + '. Stop the other gateway first.'
logger.error('[%s] %s', self.name, message)
self._set_fatal_error('slack_token_lock', message, retryable=False)
return False
self._app = AsyncApp(token=bot_token)
# First token is the primary — used for AsyncApp / Socket Mode
primary_token = bot_tokens[0]
self._app = AsyncApp(token=primary_token)
# Register each bot token and map team_id → client
for token in bot_tokens:
client = AsyncWebClient(token=token)
auth_response = await client.auth_test()
team_id = auth_response.get("team_id", "")
bot_user_id = auth_response.get("user_id", "")
bot_name = auth_response.get("user", "unknown")
team_name = auth_response.get("team", "unknown")
self._team_clients[team_id] = client
self._team_bot_user_ids[team_id] = bot_user_id
# First token sets the primary bot_user_id (backward compat)
if self._bot_user_id is None:
self._bot_user_id = bot_user_id
logger.info(
"[Slack] Authenticated as @%s in workspace %s (team: %s)",
bot_name, team_name, team_id,
)
# Get our own bot user ID for mention detection
auth_response = await self._app.client.auth_test()
self._bot_user_id = auth_response.get("user_id")
bot_name = auth_response.get("user", "unknown")
# Register message event handler
@self._app.event("message")
@@ -172,13 +121,10 @@ class SlackAdapter(BasePlatformAdapter):
# Start Socket Mode handler in background
self._handler = AsyncSocketModeHandler(self._app, app_token)
self._socket_mode_task = asyncio.create_task(self._handler.start_async())
asyncio.create_task(self._handler.start_async())
self._running = True
logger.info(
"[Slack] Socket Mode connected (%d workspace(s))",
len(self._team_clients),
)
logger.info("[Slack] Connected as @%s (Socket Mode)", bot_name)
return True
except Exception as e: # pragma: no cover - defensive logging
@@ -193,25 +139,8 @@ class SlackAdapter(BasePlatformAdapter):
except Exception as e: # pragma: no cover - defensive logging
logger.warning("[Slack] Error while closing Socket Mode handler: %s", e, exc_info=True)
self._running = False
# Release the token lock (use stored identity, not re-read env)
try:
from gateway.status import release_scoped_lock
if getattr(self, '_token_lock_identity', None):
release_scoped_lock('slack-app-token', self._token_lock_identity)
self._token_lock_identity = None
except Exception:
pass
logger.info("[Slack] Disconnected")
def _get_client(self, chat_id: str) -> AsyncWebClient:
"""Return the workspace-specific WebClient for a channel."""
team_id = self._channel_team.get(chat_id)
if team_id and team_id in self._team_clients:
return self._team_clients[team_id]
return self._app.client # fallback to primary
async def send(
self,
chat_id: str,
@@ -248,7 +177,7 @@ class SlackAdapter(BasePlatformAdapter):
if broadcast and i == 0:
kwargs["reply_broadcast"] = True
last_result = await self._get_client(chat_id).chat_postMessage(**kwargs)
last_result = await self._app.client.chat_postMessage(**kwargs)
return SendResult(
success=True,
@@ -270,7 +199,7 @@ class SlackAdapter(BasePlatformAdapter):
if not self._app:
return SendResult(success=False, error="Not connected")
try:
await self._get_client(chat_id).chat_update(
await self._app.client.chat_update(
channel=chat_id,
ts=message_id,
text=content,
@@ -304,7 +233,7 @@ class SlackAdapter(BasePlatformAdapter):
return # Can only set status in a thread context
try:
await self._get_client(chat_id).assistant_threads_setStatus(
await self._app.client.assistant_threads_setStatus(
channel_id=chat_id,
thread_ts=thread_ts,
status="is thinking...",
@@ -346,7 +275,7 @@ class SlackAdapter(BasePlatformAdapter):
if not os.path.exists(file_path):
raise FileNotFoundError(f"File not found: {file_path}")
result = await self._get_client(chat_id).files_upload_v2(
result = await self._app.client.files_upload_v2(
channel=chat_id,
file=file_path,
filename=os.path.basename(file_path),
@@ -448,7 +377,7 @@ class SlackAdapter(BasePlatformAdapter):
if not self._app:
return False
try:
await self._get_client(channel).reactions_add(
await self._app.client.reactions_add(
channel=channel, timestamp=timestamp, name=emoji
)
return True
@@ -464,7 +393,7 @@ class SlackAdapter(BasePlatformAdapter):
if not self._app:
return False
try:
await self._get_client(channel).reactions_remove(
await self._app.client.reactions_remove(
channel=channel, timestamp=timestamp, name=emoji
)
return True
@@ -474,7 +403,7 @@ class SlackAdapter(BasePlatformAdapter):
# ----- User identity resolution -----
async def _resolve_user_name(self, user_id: str, chat_id: str = "") -> str:
async def _resolve_user_name(self, user_id: str) -> str:
"""Resolve a Slack user ID to a display name, with caching."""
if not user_id:
return ""
@@ -485,8 +414,7 @@ class SlackAdapter(BasePlatformAdapter):
return user_id
try:
client = self._get_client(chat_id) if chat_id else self._app.client
result = await client.users_info(user=user_id)
result = await self._app.client.users_info(user=user_id)
user = result.get("user", {})
# Prefer display_name → real_name → user_id
profile = user.get("profile", {})
@@ -550,7 +478,7 @@ class SlackAdapter(BasePlatformAdapter):
response = await client.get(image_url)
response.raise_for_status()
result = await self._get_client(chat_id).files_upload_v2(
result = await self._app.client.files_upload_v2(
channel=chat_id,
content=response.content,
filename="image.png",
@@ -610,7 +538,7 @@ class SlackAdapter(BasePlatformAdapter):
return SendResult(success=False, error=f"Video file not found: {video_path}")
try:
result = await self._get_client(chat_id).files_upload_v2(
result = await self._app.client.files_upload_v2(
channel=chat_id,
file=video_path,
filename=os.path.basename(video_path),
@@ -651,7 +579,7 @@ class SlackAdapter(BasePlatformAdapter):
display_name = file_name or os.path.basename(file_path)
try:
result = await self._get_client(chat_id).files_upload_v2(
result = await self._app.client.files_upload_v2(
channel=chat_id,
file=file_path,
filename=display_name,
@@ -679,7 +607,7 @@ class SlackAdapter(BasePlatformAdapter):
return {"name": chat_id, "type": "unknown"}
try:
result = await self._get_client(chat_id).conversations_info(channel=chat_id)
result = await self._app.client.conversations_info(channel=chat_id)
channel = result.get("channel", {})
is_dm = channel.get("is_im", False)
return {
@@ -712,11 +640,6 @@ class SlackAdapter(BasePlatformAdapter):
user_id = event.get("user", "")
channel_id = event.get("channel", "")
ts = event.get("ts", "")
team_id = event.get("team", "")
# Track which workspace owns this channel
if team_id and channel_id:
self._channel_team[channel_id] = team_id
# Determine if this is a DM or channel message
channel_type = event.get("channel_type", "")
@@ -733,12 +656,11 @@ class SlackAdapter(BasePlatformAdapter):
thread_ts = event.get("thread_ts") or ts # ts fallback for channels
# In channels, only respond if bot is mentioned
bot_uid = self._team_bot_user_ids.get(team_id, self._bot_user_id)
if not is_dm and bot_uid:
if f"<@{bot_uid}>" not in text:
if not is_dm and self._bot_user_id:
if f"<@{self._bot_user_id}>" not in text:
return
# Strip the bot mention from the text
text = text.replace(f"<@{bot_uid}>", "").strip()
text = text.replace(f"<@{self._bot_user_id}>", "").strip()
# Determine message type
msg_type = MessageType.TEXT
@@ -758,7 +680,7 @@ class SlackAdapter(BasePlatformAdapter):
if ext not in (".jpg", ".jpeg", ".png", ".gif", ".webp"):
ext = ".jpg"
# Slack private URLs require the bot token as auth header
cached = await self._download_slack_file(url, ext, team_id=team_id)
cached = await self._download_slack_file(url, ext)
media_urls.append(cached)
media_types.append(mimetype)
msg_type = MessageType.PHOTO
@@ -769,7 +691,7 @@ class SlackAdapter(BasePlatformAdapter):
ext = "." + mimetype.split("/")[-1].split(";")[0]
if ext not in (".ogg", ".mp3", ".wav", ".webm", ".m4a"):
ext = ".ogg"
cached = await self._download_slack_file(url, ext, audio=True, team_id=team_id)
cached = await self._download_slack_file(url, ext, audio=True)
media_urls.append(cached)
media_types.append(mimetype)
msg_type = MessageType.VOICE
@@ -800,7 +722,7 @@ class SlackAdapter(BasePlatformAdapter):
continue
# Download and cache
raw_bytes = await self._download_slack_file_bytes(url, team_id=team_id)
raw_bytes = await self._download_slack_file_bytes(url)
cached_path = cache_document_from_bytes(
raw_bytes, original_filename or f"document{ext}"
)
@@ -829,7 +751,7 @@ class SlackAdapter(BasePlatformAdapter):
logger.warning("[Slack] Failed to cache document from %s: %s", url, e, exc_info=True)
# Resolve user display name (cached after first lookup)
user_name = await self._resolve_user_name(user_id, chat_id=channel_id)
user_name = await self._resolve_user_name(user_id)
# Build source
source = self.build_source(
@@ -866,17 +788,24 @@ class SlackAdapter(BasePlatformAdapter):
text = command.get("text", "").strip()
user_id = command.get("user_id", "")
channel_id = command.get("channel_id", "")
team_id = command.get("team_id", "")
# Track which workspace owns this channel
if team_id and channel_id:
self._channel_team[channel_id] = team_id
# Map subcommands to gateway commands — derived from central registry.
# Also keep "compact" as a Slack-specific alias for /compress.
from hermes_cli.commands import slack_subcommand_map
subcommand_map = slack_subcommand_map()
subcommand_map["compact"] = "/compress"
# Map subcommands to gateway commands
subcommand_map = {
"new": "/reset", "reset": "/reset",
"status": "/status", "stop": "/stop",
"help": "/help",
"model": "/model", "personality": "/personality",
"retry": "/retry", "undo": "/undo",
"compact": "/compress", "compress": "/compress",
"resume": "/resume",
"background": "/background",
"usage": "/usage",
"insights": "/insights",
"title": "/title",
"reasoning": "/reasoning",
"provider": "/provider",
"rollback": "/rollback",
}
first_word = text.split()[0] if text else ""
if first_word in subcommand_map:
# Preserve arguments after the subcommand
@@ -902,66 +831,34 @@ class SlackAdapter(BasePlatformAdapter):
await self.handle_message(event)
async def _download_slack_file(self, url: str, ext: str, audio: bool = False, team_id: str = "") -> str:
"""Download a Slack file using the bot token for auth, with retry."""
import asyncio
async def _download_slack_file(self, url: str, ext: str, audio: bool = False) -> str:
"""Download a Slack file using the bot token for auth."""
import httpx
bot_token = self._team_clients[team_id].token if team_id and team_id in self._team_clients else self.config.token
last_exc = None
bot_token = self.config.token
async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
for attempt in range(3):
try:
response = await client.get(
url,
headers={"Authorization": f"Bearer {bot_token}"},
)
response.raise_for_status()
response = await client.get(
url,
headers={"Authorization": f"Bearer {bot_token}"},
)
response.raise_for_status()
if audio:
from gateway.platforms.base import cache_audio_from_bytes
return cache_audio_from_bytes(response.content, ext)
else:
from gateway.platforms.base import cache_image_from_bytes
return cache_image_from_bytes(response.content, ext)
except (httpx.TimeoutException, httpx.HTTPStatusError) as exc:
last_exc = exc
if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code < 429:
raise
if attempt < 2:
logger.debug("Slack file download retry %d/2 for %s: %s",
attempt + 1, url[:80], exc)
await asyncio.sleep(1.5 * (attempt + 1))
continue
raise
raise last_exc
if audio:
from gateway.platforms.base import cache_audio_from_bytes
return cache_audio_from_bytes(response.content, ext)
else:
from gateway.platforms.base import cache_image_from_bytes
return cache_image_from_bytes(response.content, ext)
async def _download_slack_file_bytes(self, url: str, team_id: str = "") -> bytes:
"""Download a Slack file and return raw bytes, with retry."""
import asyncio
async def _download_slack_file_bytes(self, url: str) -> bytes:
"""Download a Slack file and return raw bytes."""
import httpx
bot_token = self._team_clients[team_id].token if team_id and team_id in self._team_clients else self.config.token
last_exc = None
bot_token = self.config.token
async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
for attempt in range(3):
try:
response = await client.get(
url,
headers={"Authorization": f"Bearer {bot_token}"},
)
response.raise_for_status()
return response.content
except (httpx.TimeoutException, httpx.HTTPStatusError) as exc:
last_exc = exc
if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code < 429:
raise
if attempt < 2:
logger.debug("Slack file download retry %d/2 for %s: %s",
attempt + 1, url[:80], exc)
await asyncio.sleep(1.5 * (attempt + 1))
continue
raise
raise last_exc
response = await client.get(
url,
headers={"Authorization": f"Bearer {bot_token}"},
)
response.raise_for_status()
return response.content

View File

@@ -1,276 +0,0 @@
"""SMS (Twilio) platform adapter.
Connects to the Twilio REST API for outbound SMS and runs an aiohttp
webhook server to receive inbound messages.
Shares credentials with the optional telephony skill — same env vars:
- TWILIO_ACCOUNT_SID
- TWILIO_AUTH_TOKEN
- TWILIO_PHONE_NUMBER (E.164 from-number, e.g. +15551234567)
Gateway-specific env vars:
- SMS_WEBHOOK_PORT (default 8080)
- SMS_ALLOWED_USERS (comma-separated E.164 phone numbers)
- SMS_ALLOW_ALL_USERS (true/false)
- SMS_HOME_CHANNEL (phone number for cron delivery)
"""
import asyncio
import base64
import logging
import os
import re
import urllib.parse
from typing import Any, Dict, Optional
from gateway.config import Platform, PlatformConfig
from gateway.platforms.base import (
BasePlatformAdapter,
MessageEvent,
MessageType,
SendResult,
)
logger = logging.getLogger(__name__)
TWILIO_API_BASE = "https://api.twilio.com/2010-04-01/Accounts"
MAX_SMS_LENGTH = 1600 # ~10 SMS segments
DEFAULT_WEBHOOK_PORT = 8080
# E.164 phone number pattern for redaction
_PHONE_RE = re.compile(r"\+[1-9]\d{6,14}")
def _redact_phone(phone: str) -> str:
"""Redact a phone number for logging: +15551234567 -> +1555***4567."""
if not phone:
return "<none>"
if len(phone) <= 8:
return phone[:2] + "***" + phone[-2:] if len(phone) > 4 else "****"
return phone[:5] + "***" + phone[-4:]
def check_sms_requirements() -> bool:
"""Check if SMS adapter dependencies are available."""
try:
import aiohttp # noqa: F401
except ImportError:
return False
return bool(os.getenv("TWILIO_ACCOUNT_SID") and os.getenv("TWILIO_AUTH_TOKEN"))
class SmsAdapter(BasePlatformAdapter):
"""
Twilio SMS <-> Hermes gateway adapter.
Each inbound phone number gets its own Hermes session (multi-tenant).
Replies are always sent from the configured TWILIO_PHONE_NUMBER.
"""
MAX_MESSAGE_LENGTH = MAX_SMS_LENGTH
def __init__(self, config: PlatformConfig):
super().__init__(config, Platform.SMS)
self._account_sid: str = os.environ["TWILIO_ACCOUNT_SID"]
self._auth_token: str = os.environ["TWILIO_AUTH_TOKEN"]
self._from_number: str = os.getenv("TWILIO_PHONE_NUMBER", "")
self._webhook_port: int = int(
os.getenv("SMS_WEBHOOK_PORT", str(DEFAULT_WEBHOOK_PORT))
)
self._runner = None
self._http_session: Optional["aiohttp.ClientSession"] = None
def _basic_auth_header(self) -> str:
"""Build HTTP Basic auth header value for Twilio."""
creds = f"{self._account_sid}:{self._auth_token}"
encoded = base64.b64encode(creds.encode("ascii")).decode("ascii")
return f"Basic {encoded}"
# ------------------------------------------------------------------
# Required abstract methods
# ------------------------------------------------------------------
async def connect(self) -> bool:
import aiohttp
from aiohttp import web
if not self._from_number:
logger.error("[sms] TWILIO_PHONE_NUMBER not set — cannot send replies")
return False
app = web.Application()
app.router.add_post("/webhooks/twilio", self._handle_webhook)
app.router.add_get("/health", lambda _: web.Response(text="ok"))
self._runner = web.AppRunner(app)
await self._runner.setup()
site = web.TCPSite(self._runner, "0.0.0.0", self._webhook_port)
await site.start()
self._http_session = aiohttp.ClientSession(
timeout=aiohttp.ClientTimeout(total=30),
)
self._running = True
logger.info(
"[sms] Twilio webhook server listening on port %d, from: %s",
self._webhook_port,
_redact_phone(self._from_number),
)
return True
async def disconnect(self) -> None:
if self._http_session:
await self._http_session.close()
self._http_session = None
if self._runner:
await self._runner.cleanup()
self._runner = None
self._running = False
logger.info("[sms] Disconnected")
async def send(
self,
chat_id: str,
content: str,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
import aiohttp
formatted = self.format_message(content)
chunks = self.truncate_message(formatted)
last_result = SendResult(success=True)
url = f"{TWILIO_API_BASE}/{self._account_sid}/Messages.json"
headers = {
"Authorization": self._basic_auth_header(),
}
session = self._http_session or aiohttp.ClientSession(
timeout=aiohttp.ClientTimeout(total=30),
)
try:
for chunk in chunks:
form_data = aiohttp.FormData()
form_data.add_field("From", self._from_number)
form_data.add_field("To", chat_id)
form_data.add_field("Body", chunk)
try:
async with session.post(url, data=form_data, headers=headers) as resp:
body = await resp.json()
if resp.status >= 400:
error_msg = body.get("message", str(body))
logger.error(
"[sms] send failed to %s: %s %s",
_redact_phone(chat_id),
resp.status,
error_msg,
)
return SendResult(
success=False,
error=f"Twilio {resp.status}: {error_msg}",
)
msg_sid = body.get("sid", "")
last_result = SendResult(success=True, message_id=msg_sid)
except Exception as e:
logger.error("[sms] send error to %s: %s", _redact_phone(chat_id), e)
return SendResult(success=False, error=str(e))
finally:
# Close session only if we created a fallback (no persistent session)
if not self._http_session and session:
await session.close()
return last_result
async def get_chat_info(self, chat_id: str) -> Dict[str, Any]:
return {"name": chat_id, "type": "dm"}
# ------------------------------------------------------------------
# SMS-specific formatting
# ------------------------------------------------------------------
def format_message(self, content: str) -> str:
"""Strip markdown — SMS renders it as literal characters."""
content = re.sub(r"\*\*(.+?)\*\*", r"\1", content, flags=re.DOTALL)
content = re.sub(r"\*(.+?)\*", r"\1", content, flags=re.DOTALL)
content = re.sub(r"__(.+?)__", r"\1", content, flags=re.DOTALL)
content = re.sub(r"_(.+?)_", r"\1", content, flags=re.DOTALL)
content = re.sub(r"```[a-z]*\n?", "", content)
content = re.sub(r"`(.+?)`", r"\1", content)
content = re.sub(r"^#{1,6}\s+", "", content, flags=re.MULTILINE)
content = re.sub(r"\[([^\]]+)\]\([^\)]+\)", r"\1", content)
content = re.sub(r"\n{3,}", "\n\n", content)
return content.strip()
# ------------------------------------------------------------------
# Twilio webhook handler
# ------------------------------------------------------------------
async def _handle_webhook(self, request) -> "aiohttp.web.Response":
from aiohttp import web
try:
raw = await request.read()
# Twilio sends form-encoded data, not JSON
form = urllib.parse.parse_qs(raw.decode("utf-8"))
except Exception as e:
logger.error("[sms] webhook parse error: %s", e)
return web.Response(
text='<?xml version="1.0" encoding="UTF-8"?><Response></Response>',
content_type="application/xml",
status=400,
)
# Extract fields (parse_qs returns lists)
from_number = (form.get("From", [""]))[0].strip()
to_number = (form.get("To", [""]))[0].strip()
text = (form.get("Body", [""]))[0].strip()
message_sid = (form.get("MessageSid", [""]))[0].strip()
if not from_number or not text:
return web.Response(
text='<?xml version="1.0" encoding="UTF-8"?><Response></Response>',
content_type="application/xml",
)
# Ignore messages from our own number (echo prevention)
if from_number == self._from_number:
logger.debug("[sms] ignoring echo from own number %s", _redact_phone(from_number))
return web.Response(
text='<?xml version="1.0" encoding="UTF-8"?><Response></Response>',
content_type="application/xml",
)
logger.info(
"[sms] inbound from %s -> %s: %s",
_redact_phone(from_number),
_redact_phone(to_number),
text[:80],
)
source = self.build_source(
chat_id=from_number,
chat_name=from_number,
chat_type="dm",
user_id=from_number,
user_name=from_number,
)
event = MessageEvent(
text=text,
message_type=MessageType.TEXT,
source=source,
raw_message=form,
message_id=message_sid,
)
# Non-blocking: Twilio expects a fast response
task = asyncio.create_task(self.handle_message(event))
self._background_tasks.add(task)
task.add_done_callback(self._background_tasks.discard)
# Return empty TwiML — we send replies via the REST API, not inline TwiML
return web.Response(
text='<?xml version="1.0" encoding="UTF-8"?><Response></Response>',
content_type="application/xml",
)

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@@ -1,245 +0,0 @@
"""Telegram-specific network helpers.
Provides a hostname-preserving fallback transport for networks where
api.telegram.org resolves to an endpoint that is unreachable from the current
host. The transport keeps the logical request host and TLS SNI as
api.telegram.org while retrying the TCP connection against one or more fallback
IPv4 addresses.
"""
from __future__ import annotations
import asyncio
import ipaddress
import logging
import os
import socket
from typing import Iterable, Optional
import httpx
logger = logging.getLogger(__name__)
_TELEGRAM_API_HOST = "api.telegram.org"
# DNS-over-HTTPS providers used to discover Telegram API IPs that may differ
# from the (potentially unreachable) IP returned by the local system resolver.
_DOH_TIMEOUT = 4.0 # seconds — bounded so connect() isn't noticeably delayed
_DOH_PROVIDERS: list[dict] = [
{
"url": "https://dns.google/resolve",
"params": {"name": _TELEGRAM_API_HOST, "type": "A"},
"headers": {},
},
{
"url": "https://cloudflare-dns.com/dns-query",
"params": {"name": _TELEGRAM_API_HOST, "type": "A"},
"headers": {"Accept": "application/dns-json"},
},
]
# Last-resort IPs when DoH is also blocked. These are stable Telegram Bot API
# endpoints in the 149.154.160.0/20 block (same seed used by OpenClaw).
_SEED_FALLBACK_IPS: list[str] = ["149.154.167.220"]
def _resolve_proxy_url() -> str | None:
for key in ("HTTPS_PROXY", "HTTP_PROXY", "ALL_PROXY", "https_proxy", "http_proxy", "all_proxy"):
value = (os.environ.get(key) or "").strip()
if value:
return value
return None
class TelegramFallbackTransport(httpx.AsyncBaseTransport):
"""Retry Telegram Bot API requests via fallback IPs while preserving TLS/SNI.
Requests continue to target https://api.telegram.org/... logically, but on
connect failures the underlying TCP connection is retried against a known
reachable IP. This is effectively the programmatic equivalent of
``curl --resolve api.telegram.org:443:<ip>``.
"""
def __init__(self, fallback_ips: Iterable[str], **transport_kwargs):
self._fallback_ips = [ip for ip in dict.fromkeys(_normalize_fallback_ips(fallback_ips))]
proxy_url = _resolve_proxy_url()
if proxy_url and "proxy" not in transport_kwargs:
transport_kwargs["proxy"] = proxy_url
self._primary = httpx.AsyncHTTPTransport(**transport_kwargs)
self._fallbacks = {
ip: httpx.AsyncHTTPTransport(**transport_kwargs) for ip in self._fallback_ips
}
self._sticky_ip: Optional[str] = None
self._sticky_lock = asyncio.Lock()
async def handle_async_request(self, request: httpx.Request) -> httpx.Response:
if request.url.host != _TELEGRAM_API_HOST or not self._fallback_ips:
return await self._primary.handle_async_request(request)
sticky_ip = self._sticky_ip
attempt_order: list[Optional[str]] = [sticky_ip] if sticky_ip else [None]
for ip in self._fallback_ips:
if ip != sticky_ip:
attempt_order.append(ip)
last_error: Exception | None = None
for ip in attempt_order:
candidate = request if ip is None else _rewrite_request_for_ip(request, ip)
transport = self._primary if ip is None else self._fallbacks[ip]
try:
response = await transport.handle_async_request(candidate)
if ip is not None and self._sticky_ip != ip:
async with self._sticky_lock:
if self._sticky_ip != ip:
self._sticky_ip = ip
logger.warning(
"[Telegram] Primary api.telegram.org path unreachable; using sticky fallback IP %s",
ip,
)
return response
except Exception as exc:
last_error = exc
if not _is_retryable_connect_error(exc):
raise
if ip is None:
logger.warning(
"[Telegram] Primary api.telegram.org connection failed (%s); trying fallback IPs %s",
exc,
", ".join(self._fallback_ips),
)
continue
logger.warning("[Telegram] Fallback IP %s failed: %s", ip, exc)
continue
assert last_error is not None
raise last_error
async def aclose(self) -> None:
await self._primary.aclose()
for transport in self._fallbacks.values():
await transport.aclose()
def _normalize_fallback_ips(values: Iterable[str]) -> list[str]:
normalized: list[str] = []
for value in values:
raw = str(value).strip()
if not raw:
continue
try:
addr = ipaddress.ip_address(raw)
except ValueError:
logger.warning("Ignoring invalid Telegram fallback IP: %r", raw)
continue
if addr.version != 4:
logger.warning("Ignoring non-IPv4 Telegram fallback IP: %s", raw)
continue
normalized.append(str(addr))
return normalized
def parse_fallback_ip_env(value: str | None) -> list[str]:
if not value:
return []
parts = [part.strip() for part in value.split(",")]
return _normalize_fallback_ips(parts)
def _resolve_system_dns() -> set[str]:
"""Return the IPv4 addresses that the OS resolver gives for api.telegram.org."""
try:
results = socket.getaddrinfo(_TELEGRAM_API_HOST, 443, socket.AF_INET)
return {addr[4][0] for addr in results}
except Exception:
return set()
async def _query_doh_provider(
client: httpx.AsyncClient, provider: dict
) -> list[str]:
"""Query one DoH provider and return A-record IPs."""
try:
resp = await client.get(
provider["url"], params=provider["params"], headers=provider["headers"]
)
resp.raise_for_status()
data = resp.json()
ips: list[str] = []
for answer in data.get("Answer", []):
if answer.get("type") != 1: # A record
continue
raw = answer.get("data", "").strip()
try:
ipaddress.ip_address(raw)
ips.append(raw)
except ValueError:
continue
return ips
except Exception as exc:
logger.debug("DoH query to %s failed: %s", provider["url"], exc)
return []
async def discover_fallback_ips() -> list[str]:
"""Auto-discover Telegram API IPs via DNS-over-HTTPS.
Resolves api.telegram.org through Google and Cloudflare DoH, collects all
unique IPs, and excludes the system-DNS-resolved IP (which is presumably
unreachable on this network). Falls back to a hardcoded seed list when DoH
is also unavailable.
"""
async with httpx.AsyncClient(timeout=httpx.Timeout(_DOH_TIMEOUT)) as client:
doh_tasks = [_query_doh_provider(client, p) for p in _DOH_PROVIDERS]
system_dns_task = asyncio.to_thread(_resolve_system_dns)
results = await asyncio.gather(system_dns_task, *doh_tasks, return_exceptions=True)
# results[0] = system DNS IPs (set), results[1:] = DoH IP lists
system_ips: set[str] = results[0] if isinstance(results[0], set) else set()
doh_ips: list[str] = []
for r in results[1:]:
if isinstance(r, list):
doh_ips.extend(r)
# Deduplicate preserving order, exclude system-DNS IPs
seen: set[str] = set()
candidates: list[str] = []
for ip in doh_ips:
if ip not in seen and ip not in system_ips:
seen.add(ip)
candidates.append(ip)
# Validate through existing normalization
validated = _normalize_fallback_ips(candidates)
if validated:
logger.debug("Discovered Telegram fallback IPs via DoH: %s", ", ".join(validated))
return validated
logger.info(
"DoH discovery yielded no new IPs (system DNS: %s); using seed fallback IPs %s",
", ".join(system_ips) or "unknown",
", ".join(_SEED_FALLBACK_IPS),
)
return list(_SEED_FALLBACK_IPS)
def _rewrite_request_for_ip(request: httpx.Request, ip: str) -> httpx.Request:
original_host = request.url.host or _TELEGRAM_API_HOST
url = request.url.copy_with(host=ip)
headers = request.headers.copy()
headers["host"] = original_host
extensions = dict(request.extensions)
extensions["sni_hostname"] = original_host
return httpx.Request(
method=request.method,
url=url,
headers=headers,
stream=request.stream,
extensions=extensions,
)
def _is_retryable_connect_error(exc: Exception) -> bool:
return isinstance(exc, (httpx.ConnectTimeout, httpx.ConnectError))

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@@ -1,616 +0,0 @@
"""Generic webhook platform adapter.
Runs an aiohttp HTTP server that receives webhook POSTs from external
services (GitHub, GitLab, JIRA, Stripe, etc.), validates HMAC signatures,
transforms payloads into agent prompts, and routes responses back to the
source or to another configured platform.
Configuration lives in config.yaml under platforms.webhook.extra.routes.
Each route defines:
- events: which event types to accept (header-based filtering)
- secret: HMAC secret for signature validation (REQUIRED)
- prompt: template string formatted with the webhook payload
- skills: optional list of skills to load for the agent
- deliver: where to send the response (github_comment, telegram, etc.)
- deliver_extra: additional delivery config (repo, pr_number, chat_id)
Security:
- HMAC secret is required per route (validated at startup)
- Rate limiting per route (fixed-window, configurable)
- Idempotency cache prevents duplicate agent runs on webhook retries
- Body size limits checked before reading payload
- Set secret to "INSECURE_NO_AUTH" to skip validation (testing only)
"""
import asyncio
import hashlib
import hmac
import json
import logging
import os
import re
import subprocess
import time
from typing import Any, Dict, List, Optional
try:
from aiohttp import web
AIOHTTP_AVAILABLE = True
except ImportError:
AIOHTTP_AVAILABLE = False
web = None # type: ignore[assignment]
from gateway.config import Platform, PlatformConfig
from gateway.platforms.base import (
BasePlatformAdapter,
MessageEvent,
MessageType,
SendResult,
)
logger = logging.getLogger(__name__)
DEFAULT_HOST = "0.0.0.0"
DEFAULT_PORT = 8644
_INSECURE_NO_AUTH = "INSECURE_NO_AUTH"
_DYNAMIC_ROUTES_FILENAME = "webhook_subscriptions.json"
def check_webhook_requirements() -> bool:
"""Check if webhook adapter dependencies are available."""
return AIOHTTP_AVAILABLE
class WebhookAdapter(BasePlatformAdapter):
"""Generic webhook receiver that triggers agent runs from HTTP POSTs."""
def __init__(self, config: PlatformConfig):
super().__init__(config, Platform.WEBHOOK)
self._host: str = config.extra.get("host", DEFAULT_HOST)
self._port: int = int(config.extra.get("port", DEFAULT_PORT))
self._global_secret: str = config.extra.get("secret", "")
self._static_routes: Dict[str, dict] = config.extra.get("routes", {})
self._dynamic_routes: Dict[str, dict] = {}
self._dynamic_routes_mtime: float = 0.0
self._routes: Dict[str, dict] = dict(self._static_routes)
self._runner = None
# Delivery info keyed by session chat_id — consumed by send()
self._delivery_info: Dict[str, dict] = {}
# Reference to gateway runner for cross-platform delivery (set externally)
self.gateway_runner = None
# Idempotency: TTL cache of recently processed delivery IDs.
# Prevents duplicate agent runs when webhook providers retry.
self._seen_deliveries: Dict[str, float] = {}
self._idempotency_ttl: int = 3600 # 1 hour
# Rate limiting: per-route timestamps in a fixed window.
self._rate_counts: Dict[str, List[float]] = {}
self._rate_limit: int = int(config.extra.get("rate_limit", 30)) # per minute
# Body size limit (auth-before-body pattern)
self._max_body_bytes: int = int(
config.extra.get("max_body_bytes", 1_048_576)
) # 1MB
# ------------------------------------------------------------------
# Lifecycle
# ------------------------------------------------------------------
async def connect(self) -> bool:
# Load agent-created subscriptions before validating
self._reload_dynamic_routes()
# Validate routes at startup — secret is required per route
for name, route in self._routes.items():
secret = route.get("secret", self._global_secret)
if not secret:
raise ValueError(
f"[webhook] Route '{name}' has no HMAC secret. "
f"Set 'secret' on the route or globally. "
f"For testing without auth, set secret to '{_INSECURE_NO_AUTH}'."
)
app = web.Application()
app.router.add_get("/health", self._handle_health)
app.router.add_post("/webhooks/{route_name}", self._handle_webhook)
# Port conflict detection — fail fast if port is already in use
import socket as _socket
try:
with _socket.socket(_socket.AF_INET, _socket.SOCK_STREAM) as _s:
_s.settimeout(1)
_s.connect(('127.0.0.1', self._port))
logger.error('[webhook] Port %d already in use. Set a different port in config.yaml: platforms.webhook.port', self._port)
return False
except (ConnectionRefusedError, OSError):
pass # port is free
self._runner = web.AppRunner(app)
await self._runner.setup()
site = web.TCPSite(self._runner, self._host, self._port)
await site.start()
self._mark_connected()
route_names = ", ".join(self._routes.keys()) or "(none configured)"
logger.info(
"[webhook] Listening on %s:%d — routes: %s",
self._host,
self._port,
route_names,
)
return True
async def disconnect(self) -> None:
if self._runner:
await self._runner.cleanup()
self._runner = None
self._mark_disconnected()
logger.info("[webhook] Disconnected")
async def send(
self,
chat_id: str,
content: str,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Deliver the agent's response to the configured destination.
chat_id is ``webhook:{route}:{delivery_id}`` — we pop the delivery
info stored during webhook receipt so it doesn't leak memory.
"""
delivery = self._delivery_info.pop(chat_id, {})
deliver_type = delivery.get("deliver", "log")
if deliver_type == "log":
logger.info("[webhook] Response for %s: %s", chat_id, content[:200])
return SendResult(success=True)
if deliver_type == "github_comment":
return await self._deliver_github_comment(content, delivery)
# Cross-platform delivery (telegram, discord, etc.)
if self.gateway_runner and deliver_type in (
"telegram",
"discord",
"slack",
"signal",
"sms",
):
return await self._deliver_cross_platform(
deliver_type, content, delivery
)
logger.warning("[webhook] Unknown deliver type: %s", deliver_type)
return SendResult(
success=False, error=f"Unknown deliver type: {deliver_type}"
)
async def get_chat_info(self, chat_id: str) -> Dict[str, Any]:
return {"name": chat_id, "type": "webhook"}
# ------------------------------------------------------------------
# HTTP handlers
# ------------------------------------------------------------------
async def _handle_health(self, request: "web.Request") -> "web.Response":
"""GET /health — simple health check."""
return web.json_response({"status": "ok", "platform": "webhook"})
def _reload_dynamic_routes(self) -> None:
"""Reload agent-created subscriptions from disk if the file changed."""
from pathlib import Path as _Path
hermes_home = _Path(
os.getenv("HERMES_HOME", str(_Path.home() / ".hermes"))
).expanduser()
subs_path = hermes_home / _DYNAMIC_ROUTES_FILENAME
if not subs_path.exists():
if self._dynamic_routes:
self._dynamic_routes = {}
self._routes = dict(self._static_routes)
logger.debug("[webhook] Dynamic subscriptions file removed, cleared dynamic routes")
return
try:
mtime = subs_path.stat().st_mtime
if mtime <= self._dynamic_routes_mtime:
return # No change
data = json.loads(subs_path.read_text(encoding="utf-8"))
if not isinstance(data, dict):
return
# Merge: static routes take precedence over dynamic ones
self._dynamic_routes = {
k: v for k, v in data.items()
if k not in self._static_routes
}
self._routes = {**self._dynamic_routes, **self._static_routes}
self._dynamic_routes_mtime = mtime
logger.info(
"[webhook] Reloaded %d dynamic route(s): %s",
len(self._dynamic_routes),
", ".join(self._dynamic_routes.keys()) or "(none)",
)
except Exception as e:
logger.warning("[webhook] Failed to reload dynamic routes: %s", e)
async def _handle_webhook(self, request: "web.Request") -> "web.Response":
"""POST /webhooks/{route_name} — receive and process a webhook event."""
# Hot-reload dynamic subscriptions on each request (mtime-gated, cheap)
self._reload_dynamic_routes()
route_name = request.match_info.get("route_name", "")
route_config = self._routes.get(route_name)
if not route_config:
return web.json_response(
{"error": f"Unknown route: {route_name}"}, status=404
)
# ── Auth-before-body ─────────────────────────────────────
# Check Content-Length before reading the full payload.
content_length = request.content_length or 0
if content_length > self._max_body_bytes:
return web.json_response(
{"error": "Payload too large"}, status=413
)
# ── Rate limiting ────────────────────────────────────────
now = time.time()
window = self._rate_counts.setdefault(route_name, [])
window[:] = [t for t in window if now - t < 60]
if len(window) >= self._rate_limit:
return web.json_response(
{"error": "Rate limit exceeded"}, status=429
)
window.append(now)
# Read body
try:
raw_body = await request.read()
except Exception as e:
logger.error("[webhook] Failed to read body: %s", e)
return web.json_response({"error": "Bad request"}, status=400)
# Validate HMAC signature (skip for INSECURE_NO_AUTH testing mode)
secret = route_config.get("secret", self._global_secret)
if secret and secret != _INSECURE_NO_AUTH:
if not self._validate_signature(request, raw_body, secret):
logger.warning(
"[webhook] Invalid signature for route %s", route_name
)
return web.json_response(
{"error": "Invalid signature"}, status=401
)
# Parse payload
try:
payload = json.loads(raw_body)
except json.JSONDecodeError:
# Try form-encoded as fallback
try:
import urllib.parse
payload = dict(
urllib.parse.parse_qsl(raw_body.decode("utf-8"))
)
except Exception:
return web.json_response(
{"error": "Cannot parse body"}, status=400
)
# Check event type filter
event_type = (
request.headers.get("X-GitHub-Event", "")
or request.headers.get("X-GitLab-Event", "")
or payload.get("event_type", "")
or "unknown"
)
allowed_events = route_config.get("events", [])
if allowed_events and event_type not in allowed_events:
logger.debug(
"[webhook] Ignoring event %s for route %s (allowed: %s)",
event_type,
route_name,
allowed_events,
)
return web.json_response(
{"status": "ignored", "event": event_type}
)
# Format prompt from template
prompt_template = route_config.get("prompt", "")
prompt = self._render_prompt(
prompt_template, payload, event_type, route_name
)
# Inject skill content if configured.
# We call build_skill_invocation_message() directly rather than
# using /skill-name slash commands — the gateway's command parser
# would intercept those and break the flow.
skills = route_config.get("skills", [])
if skills:
try:
from agent.skill_commands import (
build_skill_invocation_message,
get_skill_commands,
)
skill_cmds = get_skill_commands()
for skill_name in skills:
cmd_key = f"/{skill_name}"
if cmd_key in skill_cmds:
skill_content = build_skill_invocation_message(
cmd_key, user_instruction=prompt
)
if skill_content:
prompt = skill_content
break # Load the first matching skill
else:
logger.warning(
"[webhook] Skill '%s' not found", skill_name
)
except Exception as e:
logger.warning("[webhook] Skill loading failed: %s", e)
# Build a unique delivery ID
delivery_id = request.headers.get(
"X-GitHub-Delivery",
request.headers.get("X-Request-ID", str(int(time.time() * 1000))),
)
# ── Idempotency ─────────────────────────────────────────
# Skip duplicate deliveries (webhook retries).
now = time.time()
# Prune expired entries
self._seen_deliveries = {
k: v
for k, v in self._seen_deliveries.items()
if now - v < self._idempotency_ttl
}
if delivery_id in self._seen_deliveries:
logger.info(
"[webhook] Skipping duplicate delivery %s", delivery_id
)
return web.json_response(
{"status": "duplicate", "delivery_id": delivery_id},
status=200,
)
self._seen_deliveries[delivery_id] = now
# Use delivery_id in session key so concurrent webhooks on the
# same route get independent agent runs (not queued/interrupted).
session_chat_id = f"webhook:{route_name}:{delivery_id}"
# Store delivery info for send() — consumed (popped) on delivery
deliver_config = {
"deliver": route_config.get("deliver", "log"),
"deliver_extra": self._render_delivery_extra(
route_config.get("deliver_extra", {}), payload
),
"payload": payload,
}
self._delivery_info[session_chat_id] = deliver_config
# Build source and event
source = self.build_source(
chat_id=session_chat_id,
chat_name=f"webhook/{route_name}",
chat_type="webhook",
user_id=f"webhook:{route_name}",
user_name=route_name,
)
event = MessageEvent(
text=prompt,
message_type=MessageType.TEXT,
source=source,
raw_message=payload,
message_id=delivery_id,
)
logger.info(
"[webhook] %s event=%s route=%s prompt_len=%d delivery=%s",
request.method,
event_type,
route_name,
len(prompt),
delivery_id,
)
# Non-blocking — return 202 Accepted immediately
task = asyncio.create_task(self.handle_message(event))
self._background_tasks.add(task)
task.add_done_callback(self._background_tasks.discard)
return web.json_response(
{
"status": "accepted",
"route": route_name,
"event": event_type,
"delivery_id": delivery_id,
},
status=202,
)
# ------------------------------------------------------------------
# Signature validation
# ------------------------------------------------------------------
def _validate_signature(
self, request: "web.Request", body: bytes, secret: str
) -> bool:
"""Validate webhook signature (GitHub, GitLab, generic HMAC-SHA256)."""
# GitHub: X-Hub-Signature-256 = sha256=<hex>
gh_sig = request.headers.get("X-Hub-Signature-256", "")
if gh_sig:
expected = "sha256=" + hmac.new(
secret.encode(), body, hashlib.sha256
).hexdigest()
return hmac.compare_digest(gh_sig, expected)
# GitLab: X-Gitlab-Token = <plain secret>
gl_token = request.headers.get("X-Gitlab-Token", "")
if gl_token:
return hmac.compare_digest(gl_token, secret)
# Generic: X-Webhook-Signature = <hex HMAC-SHA256>
generic_sig = request.headers.get("X-Webhook-Signature", "")
if generic_sig:
expected = hmac.new(
secret.encode(), body, hashlib.sha256
).hexdigest()
return hmac.compare_digest(generic_sig, expected)
# No recognised signature header but secret is configured → reject
logger.debug(
"[webhook] Secret configured but no signature header found"
)
return False
# ------------------------------------------------------------------
# Prompt rendering
# ------------------------------------------------------------------
def _render_prompt(
self,
template: str,
payload: dict,
event_type: str,
route_name: str,
) -> str:
"""Render a prompt template with the webhook payload.
Supports dot-notation access into nested dicts:
``{pull_request.title}`` → ``payload["pull_request"]["title"]``
"""
if not template:
truncated = json.dumps(payload, indent=2)[:4000]
return (
f"Webhook event '{event_type}' on route "
f"'{route_name}':\n\n```json\n{truncated}\n```"
)
def _resolve(match: re.Match) -> str:
key = match.group(1)
value: Any = payload
for part in key.split("."):
if isinstance(value, dict):
value = value.get(part, f"{{{key}}}")
else:
return f"{{{key}}}"
if isinstance(value, (dict, list)):
return json.dumps(value, indent=2)[:2000]
return str(value)
return re.sub(r"\{([a-zA-Z0-9_.]+)\}", _resolve, template)
def _render_delivery_extra(
self, extra: dict, payload: dict
) -> dict:
"""Render delivery_extra template values with payload data."""
rendered: Dict[str, Any] = {}
for key, value in extra.items():
if isinstance(value, str):
rendered[key] = self._render_prompt(value, payload, "", "")
else:
rendered[key] = value
return rendered
# ------------------------------------------------------------------
# Response delivery
# ------------------------------------------------------------------
async def _deliver_github_comment(
self, content: str, delivery: dict
) -> SendResult:
"""Post agent response as a GitHub PR/issue comment via ``gh`` CLI."""
extra = delivery.get("deliver_extra", {})
repo = extra.get("repo", "")
pr_number = extra.get("pr_number", "")
if not repo or not pr_number:
logger.error(
"[webhook] github_comment delivery missing repo or pr_number"
)
return SendResult(
success=False, error="Missing repo or pr_number"
)
try:
result = subprocess.run(
[
"gh",
"pr",
"comment",
str(pr_number),
"--repo",
repo,
"--body",
content,
],
capture_output=True,
text=True,
timeout=30,
)
if result.returncode == 0:
logger.info(
"[webhook] Posted comment on %s#%s", repo, pr_number
)
return SendResult(success=True)
else:
logger.error(
"[webhook] gh pr comment failed: %s", result.stderr
)
return SendResult(success=False, error=result.stderr)
except FileNotFoundError:
logger.error(
"[webhook] 'gh' CLI not found — install GitHub CLI for "
"github_comment delivery"
)
return SendResult(
success=False, error="gh CLI not installed"
)
except Exception as e:
logger.error("[webhook] github_comment delivery error: %s", e)
return SendResult(success=False, error=str(e))
async def _deliver_cross_platform(
self, platform_name: str, content: str, delivery: dict
) -> SendResult:
"""Route response to another platform (telegram, discord, etc.)."""
if not self.gateway_runner:
return SendResult(
success=False,
error="No gateway runner for cross-platform delivery",
)
try:
target_platform = Platform(platform_name)
except ValueError:
return SendResult(
success=False, error=f"Unknown platform: {platform_name}"
)
adapter = self.gateway_runner.adapters.get(target_platform)
if not adapter:
return SendResult(
success=False,
error=f"Platform {platform_name} not connected",
)
# Use home channel if no specific chat_id in deliver_extra
extra = delivery.get("deliver_extra", {})
chat_id = extra.get("chat_id", "")
if not chat_id:
home = self.gateway_runner.config.get_home_channel(target_platform)
if home:
chat_id = home.chat_id
else:
return SendResult(
success=False,
error=f"No chat_id or home channel for {platform_name}",
)
return await adapter.send(chat_id, content)

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@@ -16,6 +16,7 @@ with different backends via a bridge pattern.
"""
import asyncio
import json
import logging
import os
import platform
@@ -23,10 +24,9 @@ import subprocess
_IS_WINDOWS = platform.system() == "Windows"
from pathlib import Path
from typing import Dict, Optional, Any
from typing import Dict, List, Optional, Any
from hermes_cli.config import get_hermes_home
from hermes_constants import get_hermes_dir
logger = logging.getLogger(__name__)
@@ -74,7 +74,6 @@ from gateway.platforms.base import (
MessageEvent,
MessageType,
SendResult,
SUPPORTED_DOCUMENT_TYPES,
cache_image_from_url,
cache_audio_from_url,
)
@@ -135,15 +134,11 @@ class WhatsAppAdapter(BasePlatformAdapter):
)
self._session_path: Path = Path(config.extra.get(
"session_path",
get_hermes_dir("platforms/whatsapp/session", "whatsapp/session")
get_hermes_home() / "whatsapp" / "session"
))
self._reply_prefix: Optional[str] = config.extra.get("reply_prefix")
self._message_queue: asyncio.Queue = asyncio.Queue()
self._bridge_log_fh = None
self._bridge_log: Optional[Path] = None
self._poll_task: Optional[asyncio.Task] = None
self._http_session: Optional["aiohttp.ClientSession"] = None
self._session_lock_identity: Optional[str] = None
async def connect(self) -> bool:
"""
@@ -162,29 +157,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
logger.info("[%s] Bridge found at %s", self.name, bridge_path)
# Acquire scoped lock to prevent duplicate sessions
try:
from gateway.status import acquire_scoped_lock
self._session_lock_identity = str(self._session_path)
acquired, existing = acquire_scoped_lock(
"whatsapp-session",
self._session_lock_identity,
metadata={"platform": self.platform.value},
)
if not acquired:
owner_pid = existing.get("pid") if isinstance(existing, dict) else None
message = (
"Another local Hermes gateway is already using this WhatsApp session"
+ (f" (PID {owner_pid})." if owner_pid else ".")
+ " Stop the other gateway before starting a second WhatsApp bridge."
)
logger.error("[%s] %s", self.name, message)
self._set_fatal_error("whatsapp_session_lock", message, retryable=False)
return False
except Exception as e:
logger.warning("[%s] Could not acquire session lock (non-fatal): %s", self.name, e)
# Auto-install npm dependencies if node_modules doesn't exist
bridge_dir = bridge_path.parent
if not (bridge_dir / "node_modules").exists():
@@ -209,32 +181,9 @@ class WhatsAppAdapter(BasePlatformAdapter):
# Ensure session directory exists
self._session_path.mkdir(parents=True, exist_ok=True)
# Check if bridge is already running and connected
import aiohttp
import asyncio
try:
async with aiohttp.ClientSession() as session:
async with session.get(
f"http://127.0.0.1:{self._bridge_port}/health",
timeout=aiohttp.ClientTimeout(total=2)
) as resp:
if resp.status == 200:
data = await resp.json()
bridge_status = data.get("status", "unknown")
if bridge_status == "connected":
print(f"[{self.name}] Using existing bridge (status: {bridge_status})")
self._mark_connected()
self._bridge_process = None # Not managed by us
self._http_session = aiohttp.ClientSession()
self._poll_task = asyncio.create_task(self._poll_messages())
return True
else:
print(f"[{self.name}] Bridge found but not connected (status: {bridge_status}), restarting")
except Exception:
pass # Bridge not running, start a new one
# Kill any orphaned bridge from a previous gateway run
_kill_port_process(self._bridge_port)
import asyncio
await asyncio.sleep(1)
# Start the bridge process in its own process group.
@@ -244,14 +193,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
self._bridge_log = self._session_path.parent / "bridge.log"
bridge_log_fh = open(self._bridge_log, "a")
self._bridge_log_fh = bridge_log_fh
# Build bridge subprocess environment.
# Pass WHATSAPP_REPLY_PREFIX from config.yaml so the Node bridge
# can use it without the user needing to set a separate env var.
bridge_env = os.environ.copy()
if self._reply_prefix is not None:
bridge_env["WHATSAPP_REPLY_PREFIX"] = self._reply_prefix
self._bridge_process = subprocess.Popen(
[
"node",
@@ -263,7 +204,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
stdout=bridge_log_fh,
stderr=bridge_log_fh,
preexec_fn=None if _IS_WINDOWS else os.setsid,
env=bridge_env,
)
# Wait for the bridge to connect to WhatsApp.
@@ -282,7 +222,7 @@ class WhatsAppAdapter(BasePlatformAdapter):
try:
async with aiohttp.ClientSession() as session:
async with session.get(
f"http://127.0.0.1:{self._bridge_port}/health",
f"http://localhost:{self._bridge_port}/health",
timeout=aiohttp.ClientTimeout(total=2)
) as resp:
if resp.status == 200:
@@ -314,7 +254,7 @@ class WhatsAppAdapter(BasePlatformAdapter):
try:
async with aiohttp.ClientSession() as session:
async with session.get(
f"http://127.0.0.1:{self._bridge_port}/health",
f"http://localhost:{self._bridge_port}/health",
timeout=aiohttp.ClientTimeout(total=2)
) as resp:
if resp.status == 200:
@@ -331,23 +271,14 @@ class WhatsAppAdapter(BasePlatformAdapter):
print(f"[{self.name}] Bridge log: {self._bridge_log}")
print(f"[{self.name}] If session expired, re-pair: hermes whatsapp")
# Create a persistent HTTP session for all bridge communication
self._http_session = aiohttp.ClientSession()
# Start message polling task
self._poll_task = asyncio.create_task(self._poll_messages())
asyncio.create_task(self._poll_messages())
self._mark_connected()
self._running = True
print(f"[{self.name}] Bridge started on port {self._bridge_port}")
return True
except Exception as e:
if self._session_lock_identity:
try:
from gateway.status import release_scoped_lock
release_scoped_lock("whatsapp-session", self._session_lock_identity)
except Exception:
pass
logger.error("[%s] Failed to start bridge: %s", self.name, e, exc_info=True)
self._close_bridge_log()
return False
@@ -361,23 +292,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
pass
self._bridge_log_fh = None
async def _check_managed_bridge_exit(self) -> Optional[str]:
"""Return a fatal error message if the managed bridge child exited."""
if self._bridge_process is None:
return None
returncode = self._bridge_process.poll()
if returncode is None:
return None
message = f"WhatsApp bridge process exited unexpectedly (code {returncode})."
if not self.has_fatal_error:
logger.error("[%s] %s", self.name, message)
self._set_fatal_error("whatsapp_bridge_exited", message, retryable=True)
self._close_bridge_log()
await self._notify_fatal_error()
return self.fatal_error_message or message
async def disconnect(self) -> None:
"""Stop the WhatsApp bridge and clean up any orphaned processes."""
if self._bridge_process:
@@ -402,35 +316,13 @@ class WhatsAppAdapter(BasePlatformAdapter):
self._bridge_process.kill()
except Exception as e:
print(f"[{self.name}] Error stopping bridge: {e}")
else:
# Bridge was not started by us, don't kill it
print(f"[{self.name}] Disconnecting (external bridge left running)")
# Cancel the poll task explicitly
if self._poll_task and not self._poll_task.done():
self._poll_task.cancel()
try:
await self._poll_task
except (asyncio.CancelledError, Exception):
pass
self._poll_task = None
# Close the persistent HTTP session
if self._http_session and not self._http_session.closed:
await self._http_session.close()
self._http_session = None
if self._session_lock_identity:
try:
from gateway.status import release_scoped_lock
release_scoped_lock("whatsapp-session", self._session_lock_identity)
except Exception as e:
logger.warning("[%s] Error releasing WhatsApp session lock: %s", self.name, e, exc_info=True)
self._mark_disconnected()
# Also kill any orphaned bridge processes on our port
_kill_port_process(self._bridge_port)
self._running = False
self._bridge_process = None
self._close_bridge_log()
self._session_lock_identity = None
print(f"[{self.name}] Disconnected")
async def send(
@@ -441,37 +333,41 @@ class WhatsAppAdapter(BasePlatformAdapter):
metadata: Optional[Dict[str, Any]] = None
) -> SendResult:
"""Send a message via the WhatsApp bridge."""
if not self._running or not self._http_session:
if not self._running:
return SendResult(success=False, error="Not connected")
bridge_exit = await self._check_managed_bridge_exit()
if bridge_exit:
return SendResult(success=False, error=bridge_exit)
try:
import aiohttp
payload = {
"chatId": chat_id,
"message": content,
}
if reply_to:
payload["replyTo"] = reply_to
async with self._http_session.post(
f"http://127.0.0.1:{self._bridge_port}/send",
json=payload,
timeout=aiohttp.ClientTimeout(total=30)
) as resp:
if resp.status == 200:
data = await resp.json()
return SendResult(
success=True,
message_id=data.get("messageId"),
raw_response=data
)
else:
error = await resp.text()
return SendResult(success=False, error=error)
async with aiohttp.ClientSession() as session:
payload = {
"chatId": chat_id,
"message": content,
}
if reply_to:
payload["replyTo"] = reply_to
async with session.post(
f"http://localhost:{self._bridge_port}/send",
json=payload,
timeout=aiohttp.ClientTimeout(total=30)
) as resp:
if resp.status == 200:
data = await resp.json()
return SendResult(
success=True,
message_id=data.get("messageId"),
raw_response=data
)
else:
error = await resp.text()
return SendResult(success=False, error=error)
except ImportError:
return SendResult(
success=False,
error="aiohttp not installed. Run: pip install aiohttp"
)
except Exception as e:
return SendResult(success=False, error=str(e))
@@ -482,27 +378,25 @@ class WhatsAppAdapter(BasePlatformAdapter):
content: str,
) -> SendResult:
"""Edit a previously sent message via the WhatsApp bridge."""
if not self._running or not self._http_session:
if not self._running:
return SendResult(success=False, error="Not connected")
bridge_exit = await self._check_managed_bridge_exit()
if bridge_exit:
return SendResult(success=False, error=bridge_exit)
try:
import aiohttp
async with self._http_session.post(
f"http://127.0.0.1:{self._bridge_port}/edit",
json={
"chatId": chat_id,
"messageId": message_id,
"message": content,
},
timeout=aiohttp.ClientTimeout(total=15)
) as resp:
if resp.status == 200:
return SendResult(success=True, message_id=message_id)
else:
error = await resp.text()
return SendResult(success=False, error=error)
async with aiohttp.ClientSession() as session:
async with session.post(
f"http://localhost:{self._bridge_port}/edit",
json={
"chatId": chat_id,
"messageId": message_id,
"message": content,
},
timeout=aiohttp.ClientTimeout(total=15)
) as resp:
if resp.status == 200:
return SendResult(success=True, message_id=message_id)
else:
error = await resp.text()
return SendResult(success=False, error=error)
except Exception as e:
return SendResult(success=False, error=str(e))
@@ -515,11 +409,8 @@ class WhatsAppAdapter(BasePlatformAdapter):
file_name: Optional[str] = None,
) -> SendResult:
"""Send any media file via bridge /send-media endpoint."""
if not self._running or not self._http_session:
if not self._running:
return SendResult(success=False, error="Not connected")
bridge_exit = await self._check_managed_bridge_exit()
if bridge_exit:
return SendResult(success=False, error=bridge_exit)
try:
import aiohttp
@@ -536,21 +427,22 @@ class WhatsAppAdapter(BasePlatformAdapter):
if file_name:
payload["fileName"] = file_name
async with self._http_session.post(
f"http://127.0.0.1:{self._bridge_port}/send-media",
json=payload,
timeout=aiohttp.ClientTimeout(total=120),
) as resp:
if resp.status == 200:
data = await resp.json()
return SendResult(
success=True,
message_id=data.get("messageId"),
raw_response=data,
)
else:
error = await resp.text()
return SendResult(success=False, error=error)
async with aiohttp.ClientSession() as session:
async with session.post(
f"http://localhost:{self._bridge_port}/send-media",
json=payload,
timeout=aiohttp.ClientTimeout(total=120),
) as resp:
if resp.status == 200:
data = await resp.json()
return SendResult(
success=True,
message_id=data.get("messageId"),
raw_response=data,
)
else:
error = await resp.text()
return SendResult(success=False, error=error)
except Exception as e:
return SendResult(success=False, error=str(e))
@@ -575,7 +467,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
image_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a local image file natively via bridge."""
return await self._send_media_to_bridge(chat_id, image_path, "image", caption)
@@ -586,7 +477,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
video_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a video natively via bridge — plays inline in WhatsApp."""
return await self._send_media_to_bridge(chat_id, video_path, "video", caption)
@@ -598,7 +488,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
caption: Optional[str] = None,
file_name: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a document/file as a downloadable attachment via bridge."""
return await self._send_media_to_bridge(
@@ -608,43 +497,41 @@ class WhatsAppAdapter(BasePlatformAdapter):
async def send_typing(self, chat_id: str, metadata=None) -> None:
"""Send typing indicator via bridge."""
if not self._running or not self._http_session:
return
if await self._check_managed_bridge_exit():
if not self._running:
return
try:
import aiohttp
await self._http_session.post(
f"http://127.0.0.1:{self._bridge_port}/typing",
json={"chatId": chat_id},
timeout=aiohttp.ClientTimeout(total=5)
)
async with aiohttp.ClientSession() as session:
await session.post(
f"http://localhost:{self._bridge_port}/typing",
json={"chatId": chat_id},
timeout=aiohttp.ClientTimeout(total=5)
)
except Exception:
pass # Ignore typing indicator failures
async def get_chat_info(self, chat_id: str) -> Dict[str, Any]:
"""Get information about a WhatsApp chat."""
if not self._running or not self._http_session:
if not self._running:
return {"name": "Unknown", "type": "dm"}
if await self._check_managed_bridge_exit():
return {"name": chat_id, "type": "dm"}
try:
import aiohttp
async with self._http_session.get(
f"http://127.0.0.1:{self._bridge_port}/chat/{chat_id}",
timeout=aiohttp.ClientTimeout(total=10)
) as resp:
if resp.status == 200:
data = await resp.json()
return {
"name": data.get("name", chat_id),
"type": "group" if data.get("isGroup") else "dm",
"participants": data.get("participants", []),
}
async with aiohttp.ClientSession() as session:
async with session.get(
f"http://localhost:{self._bridge_port}/chat/{chat_id}",
timeout=aiohttp.ClientTimeout(total=10)
) as resp:
if resp.status == 200:
data = await resp.json()
return {
"name": data.get("name", chat_id),
"type": "group" if data.get("isGroup") else "dm",
"participants": data.get("participants", []),
}
except Exception as e:
logger.debug("Could not get WhatsApp chat info for %s: %s", chat_id, e)
@@ -652,33 +539,28 @@ class WhatsAppAdapter(BasePlatformAdapter):
async def _poll_messages(self) -> None:
"""Poll the bridge for incoming messages."""
import aiohttp
try:
import aiohttp
except ImportError:
print(f"[{self.name}] aiohttp not installed, message polling disabled")
return
while self._running:
if not self._http_session:
break
bridge_exit = await self._check_managed_bridge_exit()
if bridge_exit:
print(f"[{self.name}] {bridge_exit}")
break
try:
async with self._http_session.get(
f"http://127.0.0.1:{self._bridge_port}/messages",
timeout=aiohttp.ClientTimeout(total=30)
) as resp:
if resp.status == 200:
messages = await resp.json()
for msg_data in messages:
event = await self._build_message_event(msg_data)
if event:
await self.handle_message(event)
async with aiohttp.ClientSession() as session:
async with session.get(
f"http://localhost:{self._bridge_port}/messages",
timeout=aiohttp.ClientTimeout(total=30)
) as resp:
if resp.status == 200:
messages = await resp.json()
for msg_data in messages:
event = await self._build_message_event(msg_data)
if event:
await self.handle_message(event)
except asyncio.CancelledError:
break
except Exception as e:
bridge_exit = await self._check_managed_bridge_exit()
if bridge_exit:
print(f"[{self.name}] {bridge_exit}")
break
print(f"[{self.name}] Poll error: {e}")
await asyncio.sleep(5)
@@ -713,7 +595,7 @@ class WhatsAppAdapter(BasePlatformAdapter):
user_name=data.get("senderName"),
)
# Download media URLs to the local cache so agent tools
# Download image media URLs to the local cache so the vision tool
# can access them reliably regardless of URL expiration.
raw_urls = data.get("mediaUrls", [])
cached_urls = []
@@ -729,11 +611,6 @@ class WhatsAppAdapter(BasePlatformAdapter):
print(f"[{self.name}] Failed to cache image: {e}", flush=True)
cached_urls.append(url)
media_types.append("image/jpeg")
elif msg_type == MessageType.PHOTO and os.path.isabs(url):
# Local file path — bridge already downloaded the image
cached_urls.append(url)
media_types.append("image/jpeg")
print(f"[{self.name}] Using bridge-cached image: {url}", flush=True)
elif msg_type == MessageType.VOICE and url.startswith(("http://", "https://")):
try:
cached_path = await cache_audio_from_url(url, ext=".ogg")
@@ -744,59 +621,12 @@ class WhatsAppAdapter(BasePlatformAdapter):
print(f"[{self.name}] Failed to cache voice: {e}", flush=True)
cached_urls.append(url)
media_types.append("audio/ogg")
elif msg_type == MessageType.VOICE and os.path.isabs(url):
# Local file path — bridge already downloaded the audio
cached_urls.append(url)
media_types.append("audio/ogg")
print(f"[{self.name}] Using bridge-cached audio: {url}", flush=True)
elif msg_type == MessageType.DOCUMENT and os.path.isabs(url):
# Local file path — bridge already downloaded the document
cached_urls.append(url)
ext = Path(url).suffix.lower()
mime = SUPPORTED_DOCUMENT_TYPES.get(ext, "application/octet-stream")
media_types.append(mime)
print(f"[{self.name}] Using bridge-cached document: {url}", flush=True)
elif msg_type == MessageType.VIDEO and os.path.isabs(url):
cached_urls.append(url)
media_types.append("video/mp4")
print(f"[{self.name}] Using bridge-cached video: {url}", flush=True)
else:
cached_urls.append(url)
media_types.append("unknown")
# For text-readable documents, inject file content directly into
# the message text so the agent can read it inline.
# Cap at 100KB to match Telegram/Discord/Slack behaviour.
body = data.get("body", "")
MAX_TEXT_INJECT_BYTES = 100 * 1024
if msg_type == MessageType.DOCUMENT and cached_urls:
for doc_path in cached_urls:
ext = Path(doc_path).suffix.lower()
if ext in (".txt", ".md", ".csv", ".json", ".xml", ".yaml", ".yml", ".log", ".py", ".js", ".ts", ".html", ".css"):
try:
file_size = Path(doc_path).stat().st_size
if file_size > MAX_TEXT_INJECT_BYTES:
print(f"[{self.name}] Skipping text injection for {doc_path} ({file_size} bytes > {MAX_TEXT_INJECT_BYTES})", flush=True)
continue
content = Path(doc_path).read_text(errors="replace")
fname = Path(doc_path).name
# Remove the doc_<hex>_ prefix for display
display_name = fname
if "_" in fname:
parts = fname.split("_", 2)
if len(parts) >= 3:
display_name = parts[2]
injection = f"[Content of {display_name}]:\n{content}"
if body:
body = f"{injection}\n\n{body}"
else:
body = injection
print(f"[{self.name}] Injected text content from: {doc_path}", flush=True)
except Exception as e:
print(f"[{self.name}] Failed to read document text: {e}", flush=True)
return MessageEvent(
text=body,
text=data.get("body", ""),
message_type=msg_type,
source=source,
raw_message=data,
@@ -807,3 +637,4 @@ class WhatsAppAdapter(BasePlatformAdapter):
except Exception as e:
print(f"[{self.name}] Error building event: {e}")
return None

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@@ -8,64 +8,21 @@ Handles:
- Dynamic system prompt injection (agent knows its context)
"""
import hashlib
import logging
import os
import json
import re
import threading
import uuid
from pathlib import Path
from datetime import datetime, timedelta
from dataclasses import dataclass
from dataclasses import dataclass, field
from typing import Dict, List, Optional, Any
logger = logging.getLogger(__name__)
def _now() -> datetime:
"""Return the current local time."""
return datetime.now()
# ---------------------------------------------------------------------------
# PII redaction helpers
# ---------------------------------------------------------------------------
_PHONE_RE = re.compile(r"^\+?\d[\d\-\s]{6,}$")
def _hash_id(value: str) -> str:
"""Deterministic 12-char hex hash of an identifier."""
return hashlib.sha256(value.encode("utf-8")).hexdigest()[:12]
def _hash_sender_id(value: str) -> str:
"""Hash a sender ID to ``user_<12hex>``."""
return f"user_{_hash_id(value)}"
def _hash_chat_id(value: str) -> str:
"""Hash the numeric portion of a chat ID, preserving platform prefix.
``telegram:12345`` → ``telegram:<hash>``
``12345`` → ``<hash>``
"""
colon = value.find(":")
if colon > 0:
prefix = value[:colon]
return f"{prefix}:{_hash_id(value[colon + 1:])}"
return _hash_id(value)
def _looks_like_phone(value: str) -> bool:
"""Return True if *value* looks like a phone number (E.164 or similar)."""
return bool(_PHONE_RE.match(value.strip()))
from .config import (
Platform,
GatewayConfig,
SessionResetPolicy, # noqa: F401 — re-exported via gateway/__init__.py
SessionResetPolicy,
HomeChannel,
)
@@ -189,21 +146,7 @@ class SessionContext:
}
_PII_SAFE_PLATFORMS = frozenset({
Platform.WHATSAPP,
Platform.SIGNAL,
Platform.TELEGRAM,
})
"""Platforms where user IDs can be safely redacted (no in-message mention system
that requires raw IDs). Discord is excluded because mentions use ``<@user_id>``
and the LLM needs the real ID to tag users."""
def build_session_context_prompt(
context: SessionContext,
*,
redact_pii: bool = False,
) -> str:
def build_session_context_prompt(context: SessionContext) -> str:
"""
Build the dynamic system prompt section that tells the agent about its context.
@@ -211,15 +154,7 @@ def build_session_context_prompt(
- Where messages are coming from
- What platforms are connected
- Where it can deliver scheduled task outputs
When *redact_pii* is True **and** the source platform is in
``_PII_SAFE_PLATFORMS``, phone numbers are stripped and user/chat IDs
are replaced with deterministic hashes before being sent to the LLM.
Platforms like Discord are excluded because mentions need real IDs.
Routing still uses the original values (they stay in SessionSource).
"""
# Only apply redaction on platforms where IDs aren't needed for mentions
redact_pii = redact_pii and context.source.platform in _PII_SAFE_PLATFORMS
lines = [
"## Current Session Context",
"",
@@ -230,25 +165,7 @@ def build_session_context_prompt(
if context.source.platform == Platform.LOCAL:
lines.append(f"**Source:** {platform_name} (the machine running this agent)")
else:
# Build a description that respects PII redaction
src = context.source
if redact_pii:
# Build a safe description without raw IDs
_uname = src.user_name or (
_hash_sender_id(src.user_id) if src.user_id else "user"
)
_cname = src.chat_name or _hash_chat_id(src.chat_id)
if src.chat_type == "dm":
desc = f"DM with {_uname}"
elif src.chat_type == "group":
desc = f"group: {_cname}"
elif src.chat_type == "channel":
desc = f"channel: {_cname}"
else:
desc = _cname
else:
desc = src.description
lines.append(f"**Source:** {platform_name} ({desc})")
lines.append(f"**Source:** {platform_name} ({context.source.description})")
# Channel topic (if available - provides context about the channel's purpose)
if context.source.chat_topic:
@@ -258,10 +175,7 @@ def build_session_context_prompt(
if context.source.user_name:
lines.append(f"**User:** {context.source.user_name}")
elif context.source.user_id:
uid = context.source.user_id
if redact_pii:
uid = _hash_sender_id(uid)
lines.append(f"**User ID:** {uid}")
lines.append(f"**User ID:** {context.source.user_id}")
# Platform-specific behavioral notes
if context.source.platform == Platform.SLACK:
@@ -296,8 +210,7 @@ def build_session_context_prompt(
lines.append("")
lines.append("**Home Channels (default destinations):**")
for platform, home in context.home_channels.items():
hc_id = _hash_chat_id(home.chat_id) if redact_pii else home.chat_id
lines.append(f" - {platform.value}: {home.name} (ID: {hc_id})")
lines.append(f" - {platform.value}: {home.name} (ID: {home.chat_id})")
# Delivery options for scheduled tasks
lines.append("")
@@ -307,10 +220,7 @@ def build_session_context_prompt(
if context.source.platform == Platform.LOCAL:
lines.append("- `\"origin\"` → Local output (saved to files)")
else:
_origin_label = context.source.chat_name or (
_hash_chat_id(context.source.chat_id) if redact_pii else context.source.chat_id
)
lines.append(f"- `\"origin\"` → Back to this chat ({_origin_label})")
lines.append(f"- `\"origin\"` → Back to this chat ({context.source.chat_name or context.source.chat_id})")
# Local always available
lines.append("- `\"local\"` → Save to local files only (~/.hermes/cron/output/)")
@@ -349,11 +259,7 @@ class SessionEntry:
# Token tracking
input_tokens: int = 0
output_tokens: int = 0
cache_read_tokens: int = 0
cache_write_tokens: int = 0
total_tokens: int = 0
estimated_cost_usd: float = 0.0
cost_status: str = "unknown"
# Last API-reported prompt tokens (for accurate compression pre-check)
last_prompt_tokens: int = 0
@@ -361,8 +267,6 @@ class SessionEntry:
# Set when a session was created because the previous one expired;
# consumed once by the message handler to inject a notice into context
was_auto_reset: bool = False
auto_reset_reason: Optional[str] = None # "idle" or "daily"
reset_had_activity: bool = False # whether the expired session had any messages
def to_dict(self) -> Dict[str, Any]:
result = {
@@ -375,12 +279,8 @@ class SessionEntry:
"chat_type": self.chat_type,
"input_tokens": self.input_tokens,
"output_tokens": self.output_tokens,
"cache_read_tokens": self.cache_read_tokens,
"cache_write_tokens": self.cache_write_tokens,
"total_tokens": self.total_tokens,
"last_prompt_tokens": self.last_prompt_tokens,
"estimated_cost_usd": self.estimated_cost_usd,
"cost_status": self.cost_status,
}
if self.origin:
result["origin"] = self.origin.to_dict()
@@ -410,16 +310,12 @@ class SessionEntry:
chat_type=data.get("chat_type", "dm"),
input_tokens=data.get("input_tokens", 0),
output_tokens=data.get("output_tokens", 0),
cache_read_tokens=data.get("cache_read_tokens", 0),
cache_write_tokens=data.get("cache_write_tokens", 0),
total_tokens=data.get("total_tokens", 0),
last_prompt_tokens=data.get("last_prompt_tokens", 0),
estimated_cost_usd=data.get("estimated_cost_usd", 0.0),
cost_status=data.get("cost_status", "unknown"),
)
def build_session_key(source: SessionSource, group_sessions_per_user: bool = True) -> str:
def build_session_key(source: SessionSource) -> str:
"""Build a deterministic session key from a message source.
This is the single source of truth for session key construction.
@@ -432,11 +328,7 @@ def build_session_key(source: SessionSource, group_sessions_per_user: bool = Tru
Group/channel rules:
- chat_id identifies the parent group/channel.
- user_id/user_id_alt isolates participants within that parent chat when available when
``group_sessions_per_user`` is enabled.
- thread_id differentiates threads within that parent chat.
- Without participant identifiers, or when isolation is disabled, messages fall back to one
shared session per chat.
- Without identifiers, messages fall back to one session per platform/chat_type.
"""
platform = source.platform.value
@@ -448,18 +340,13 @@ def build_session_key(source: SessionSource, group_sessions_per_user: bool = Tru
if source.thread_id:
return f"agent:main:{platform}:dm:{source.thread_id}"
return f"agent:main:{platform}:dm"
participant_id = source.user_id_alt or source.user_id
key_parts = ["agent:main", platform, source.chat_type]
if source.chat_id:
key_parts.append(source.chat_id)
if source.thread_id:
return f"agent:main:{platform}:{source.chat_type}:{source.chat_id}:{source.thread_id}"
return f"agent:main:{platform}:{source.chat_type}:{source.chat_id}"
if source.thread_id:
key_parts.append(source.thread_id)
if group_sessions_per_user and participant_id:
key_parts.append(str(participant_id))
return ":".join(key_parts)
return f"agent:main:{platform}:{source.chat_type}:{source.thread_id}"
return f"agent:main:{platform}:{source.chat_type}"
class SessionStore:
@@ -477,7 +364,6 @@ class SessionStore:
self.config = config
self._entries: Dict[str, SessionEntry] = {}
self._loaded = False
self._lock = threading.Lock()
self._has_active_processes_fn = has_active_processes_fn
# on_auto_reset is deprecated — memory flush now runs proactively
# via the background session expiry watcher in GatewayRunner.
@@ -493,17 +379,12 @@ class SessionStore:
def _ensure_loaded(self) -> None:
"""Load sessions index from disk if not already loaded."""
with self._lock:
self._ensure_loaded_locked()
def _ensure_loaded_locked(self) -> None:
"""Load sessions index from disk. Must be called with self._lock held."""
if self._loaded:
return
self.sessions_dir.mkdir(parents=True, exist_ok=True)
sessions_file = self.sessions_dir / "sessions.json"
if sessions_file.exists():
try:
with open(sessions_file, "r", encoding="utf-8") as f:
@@ -516,7 +397,7 @@ class SessionStore:
continue
except Exception as e:
print(f"[gateway] Warning: Failed to load sessions: {e}")
self._loaded = True
def _save(self) -> None:
@@ -544,10 +425,7 @@ class SessionStore:
def _generate_session_key(self, source: SessionSource) -> str:
"""Generate a session key from a source."""
return build_session_key(
source,
group_sessions_per_user=getattr(self.config, "group_sessions_per_user", True),
)
return build_session_key(source)
def _is_session_expired(self, entry: SessionEntry) -> bool:
"""Check if a session has expired based on its reset policy.
@@ -568,7 +446,7 @@ class SessionStore:
if policy.mode == "none":
return False
now = _now()
now = datetime.now()
if policy.mode in ("idle", "both"):
idle_deadline = entry.updated_at + timedelta(minutes=policy.idle_minutes)
@@ -587,19 +465,16 @@ class SessionStore:
return False
def _should_reset(self, entry: SessionEntry, source: SessionSource) -> Optional[str]:
def _should_reset(self, entry: SessionEntry, source: SessionSource) -> bool:
"""
Check if a session should be reset based on policy.
Returns the reset reason ("idle" or "daily") if a reset is needed,
or None if the session is still valid.
Sessions with active background processes are never reset.
"""
if self._has_active_processes_fn:
session_key = self._generate_session_key(source)
if self._has_active_processes_fn(session_key):
return None
return False
policy = self.config.get_reset_policy(
platform=source.platform,
@@ -607,14 +482,14 @@ class SessionStore:
)
if policy.mode == "none":
return None
return False
now = _now()
now = datetime.now()
if policy.mode in ("idle", "both"):
idle_deadline = entry.updated_at + timedelta(minutes=policy.idle_minutes)
if now > idle_deadline:
return "idle"
return True
if policy.mode in ("daily", "both"):
today_reset = now.replace(
@@ -627,9 +502,9 @@ class SessionStore:
today_reset -= timedelta(days=1)
if entry.updated_at < today_reset:
return "daily"
return True
return None
return False
def has_any_sessions(self) -> bool:
"""Check if any sessions have ever been created (across all platforms).
@@ -649,208 +524,151 @@ class SessionStore:
pass # fall through to heuristic
# Fallback: check if sessions.json was loaded with existing data.
# This covers the rare case where the DB is unavailable.
with self._lock:
self._ensure_loaded_locked()
return len(self._entries) > 1
self._ensure_loaded()
return len(self._entries) > 1
def get_or_create_session(
self,
self,
source: SessionSource,
force_new: bool = False
) -> SessionEntry:
"""
Get an existing session or create a new one.
Evaluates reset policy to determine if the existing session is stale.
Creates a session record in SQLite when a new session starts.
"""
self._ensure_loaded()
session_key = self._generate_session_key(source)
now = _now()
# SQLite calls are made outside the lock to avoid holding it during I/O.
# All _entries / _loaded mutations are protected by self._lock.
db_end_session_id = None
db_create_kwargs = None
with self._lock:
self._ensure_loaded_locked()
if session_key in self._entries and not force_new:
entry = self._entries[session_key]
reset_reason = self._should_reset(entry, source)
if not reset_reason:
entry.updated_at = now
self._save()
return entry
else:
# Session is being auto-reset. The background expiry watcher
# should have already flushed memories proactively; discard
# the marker so it doesn't accumulate.
was_auto_reset = True
auto_reset_reason = reset_reason
# Track whether the expired session had any real conversation
reset_had_activity = entry.total_tokens > 0
db_end_session_id = entry.session_id
self._pre_flushed_sessions.discard(entry.session_id)
now = datetime.now()
if session_key in self._entries and not force_new:
entry = self._entries[session_key]
if not self._should_reset(entry, source):
entry.updated_at = now
self._save()
return entry
else:
was_auto_reset = False
auto_reset_reason = None
reset_had_activity = False
# Create new session
session_id = f"{now.strftime('%Y%m%d_%H%M%S')}_{uuid.uuid4().hex[:8]}"
entry = SessionEntry(
session_key=session_key,
session_id=session_id,
created_at=now,
updated_at=now,
origin=source,
display_name=source.chat_name,
platform=source.platform,
chat_type=source.chat_type,
was_auto_reset=was_auto_reset,
auto_reset_reason=auto_reset_reason,
reset_had_activity=reset_had_activity,
)
self._entries[session_key] = entry
self._save()
db_create_kwargs = {
"session_id": session_id,
"source": source.platform.value,
"user_id": source.user_id,
}
# SQLite operations outside the lock
if self._db and db_end_session_id:
# Session is being auto-reset. The background expiry watcher
# should have already flushed memories proactively; discard
# the marker so it doesn't accumulate.
was_auto_reset = True
self._pre_flushed_sessions.discard(entry.session_id)
if self._db:
try:
self._db.end_session(entry.session_id, "session_reset")
except Exception as e:
logger.debug("Session DB operation failed: %s", e)
else:
was_auto_reset = False
# Create new session
session_id = f"{now.strftime('%Y%m%d_%H%M%S')}_{uuid.uuid4().hex[:8]}"
entry = SessionEntry(
session_key=session_key,
session_id=session_id,
created_at=now,
updated_at=now,
origin=source,
display_name=source.chat_name,
platform=source.platform,
chat_type=source.chat_type,
was_auto_reset=was_auto_reset,
)
self._entries[session_key] = entry
self._save()
# Create session in SQLite
if self._db:
try:
self._db.end_session(db_end_session_id, "session_reset")
except Exception as e:
logger.debug("Session DB operation failed: %s", e)
if self._db and db_create_kwargs:
try:
self._db.create_session(**db_create_kwargs)
self._db.create_session(
session_id=session_id,
source=source.platform.value,
user_id=source.user_id,
)
except Exception as e:
print(f"[gateway] Warning: Failed to create SQLite session: {e}")
return entry
def update_session(
self,
self,
session_key: str,
input_tokens: int = 0,
output_tokens: int = 0,
cache_read_tokens: int = 0,
cache_write_tokens: int = 0,
last_prompt_tokens: int = None,
model: str = None,
estimated_cost_usd: Optional[float] = None,
cost_status: Optional[str] = None,
cost_source: Optional[str] = None,
provider: Optional[str] = None,
base_url: Optional[str] = None,
) -> None:
"""Update a session's metadata after an interaction."""
db_session_id = None
with self._lock:
self._ensure_loaded_locked()
if session_key in self._entries:
entry = self._entries[session_key]
entry.updated_at = _now()
# Direct assignment — the gateway receives cumulative totals
# from the cached agent, not per-call deltas.
entry.input_tokens = input_tokens
entry.output_tokens = output_tokens
entry.cache_read_tokens = cache_read_tokens
entry.cache_write_tokens = cache_write_tokens
if last_prompt_tokens is not None:
entry.last_prompt_tokens = last_prompt_tokens
if estimated_cost_usd is not None:
entry.estimated_cost_usd = estimated_cost_usd
if cost_status:
entry.cost_status = cost_status
entry.total_tokens = (
entry.input_tokens
+ entry.output_tokens
+ entry.cache_read_tokens
+ entry.cache_write_tokens
)
self._save()
db_session_id = entry.session_id
if self._db and db_session_id:
try:
self._db.set_token_counts(
db_session_id,
input_tokens=input_tokens,
output_tokens=output_tokens,
cache_read_tokens=cache_read_tokens,
cache_write_tokens=cache_write_tokens,
estimated_cost_usd=estimated_cost_usd,
cost_status=cost_status,
cost_source=cost_source,
billing_provider=provider,
billing_base_url=base_url,
model=model,
absolute=True,
)
except Exception as e:
logger.debug("Session DB operation failed: %s", e)
self._ensure_loaded()
if session_key in self._entries:
entry = self._entries[session_key]
entry.updated_at = datetime.now()
entry.input_tokens += input_tokens
entry.output_tokens += output_tokens
if last_prompt_tokens is not None:
entry.last_prompt_tokens = last_prompt_tokens
entry.total_tokens = entry.input_tokens + entry.output_tokens
self._save()
if self._db:
try:
self._db.update_token_counts(
entry.session_id, input_tokens, output_tokens,
model=model,
)
except Exception as e:
logger.debug("Session DB operation failed: %s", e)
def reset_session(self, session_key: str) -> Optional[SessionEntry]:
"""Force reset a session, creating a new session ID."""
db_end_session_id = None
db_create_kwargs = None
new_entry = None
with self._lock:
self._ensure_loaded_locked()
if session_key not in self._entries:
return None
old_entry = self._entries[session_key]
db_end_session_id = old_entry.session_id
now = _now()
session_id = f"{now.strftime('%Y%m%d_%H%M%S')}_{uuid.uuid4().hex[:8]}"
new_entry = SessionEntry(
session_key=session_key,
session_id=session_id,
created_at=now,
updated_at=now,
origin=old_entry.origin,
display_name=old_entry.display_name,
platform=old_entry.platform,
chat_type=old_entry.chat_type,
)
self._entries[session_key] = new_entry
self._save()
db_create_kwargs = {
"session_id": session_id,
"source": old_entry.platform.value if old_entry.platform else "unknown",
"user_id": old_entry.origin.user_id if old_entry.origin else None,
}
if self._db and db_end_session_id:
self._ensure_loaded()
if session_key not in self._entries:
return None
old_entry = self._entries[session_key]
# End old session in SQLite
if self._db:
try:
self._db.end_session(db_end_session_id, "session_reset")
self._db.end_session(old_entry.session_id, "session_reset")
except Exception as e:
logger.debug("Session DB operation failed: %s", e)
if self._db and db_create_kwargs:
now = datetime.now()
session_id = f"{now.strftime('%Y%m%d_%H%M%S')}_{uuid.uuid4().hex[:8]}"
new_entry = SessionEntry(
session_key=session_key,
session_id=session_id,
created_at=now,
updated_at=now,
origin=old_entry.origin,
display_name=old_entry.display_name,
platform=old_entry.platform,
chat_type=old_entry.chat_type,
)
self._entries[session_key] = new_entry
self._save()
# Create new session in SQLite
if self._db:
try:
self._db.create_session(**db_create_kwargs)
self._db.create_session(
session_id=session_id,
source=old_entry.platform.value if old_entry.platform else "unknown",
user_id=old_entry.origin.user_id if old_entry.origin else None,
)
except Exception as e:
logger.debug("Session DB operation failed: %s", e)
return new_entry
def switch_session(self, session_key: str, target_session_id: str) -> Optional[SessionEntry]:
@@ -861,58 +679,52 @@ class SessionStore:
generating a fresh session ID, re-uses ``target_session_id`` so the
old transcript is loaded on the next message.
"""
db_end_session_id = None
new_entry = None
self._ensure_loaded()
with self._lock:
self._ensure_loaded_locked()
if session_key not in self._entries:
return None
if session_key not in self._entries:
return None
old_entry = self._entries[session_key]
old_entry = self._entries[session_key]
# Don't switch if already on that session
if old_entry.session_id == target_session_id:
return old_entry
# Don't switch if already on that session
if old_entry.session_id == target_session_id:
return old_entry
db_end_session_id = old_entry.session_id
now = _now()
new_entry = SessionEntry(
session_key=session_key,
session_id=target_session_id,
created_at=now,
updated_at=now,
origin=old_entry.origin,
display_name=old_entry.display_name,
platform=old_entry.platform,
chat_type=old_entry.chat_type,
)
self._entries[session_key] = new_entry
self._save()
if self._db and db_end_session_id:
# End the current session in SQLite
if self._db:
try:
self._db.end_session(db_end_session_id, "session_switch")
self._db.end_session(old_entry.session_id, "session_switch")
except Exception as e:
logger.debug("Session DB end_session failed: %s", e)
now = datetime.now()
new_entry = SessionEntry(
session_key=session_key,
session_id=target_session_id,
created_at=now,
updated_at=now,
origin=old_entry.origin,
display_name=old_entry.display_name,
platform=old_entry.platform,
chat_type=old_entry.chat_type,
)
self._entries[session_key] = new_entry
self._save()
return new_entry
def list_sessions(self, active_minutes: Optional[int] = None) -> List[SessionEntry]:
"""List all sessions, optionally filtered by activity."""
with self._lock:
self._ensure_loaded_locked()
entries = list(self._entries.values())
self._ensure_loaded()
entries = list(self._entries.values())
if active_minutes is not None:
cutoff = _now() - timedelta(minutes=active_minutes)
cutoff = datetime.now() - timedelta(minutes=active_minutes)
entries = [e for e in entries if e.updated_at >= cutoff]
entries.sort(key=lambda e: e.updated_at, reverse=True)
return entries
def get_transcript_path(self, session_id: str) -> Path:
@@ -958,17 +770,13 @@ class SessionStore:
try:
self._db.clear_messages(session_id)
for msg in messages:
role = msg.get("role", "unknown")
self._db.append_message(
session_id=session_id,
role=role,
role=msg.get("role", "unknown"),
content=msg.get("content"),
tool_name=msg.get("tool_name"),
tool_calls=msg.get("tool_calls"),
tool_call_id=msg.get("tool_call_id"),
reasoning=msg.get("reasoning") if role == "assistant" else None,
reasoning_details=msg.get("reasoning_details") if role == "assistant" else None,
codex_reasoning_items=msg.get("codex_reasoning_items") if role == "assistant" else None,
)
except Exception as e:
logger.debug("Failed to rewrite transcript in DB: %s", e)
@@ -981,51 +789,29 @@ class SessionStore:
def load_transcript(self, session_id: str) -> List[Dict[str, Any]]:
"""Load all messages from a session's transcript."""
db_messages = []
# Try SQLite first
if self._db:
try:
db_messages = self._db.get_messages_as_conversation(session_id)
messages = self._db.get_messages_as_conversation(session_id)
if messages:
return messages
except Exception as e:
logger.debug("Could not load messages from DB: %s", e)
# Load legacy JSONL transcript (may contain more history than SQLite
# for sessions created before the DB layer was introduced).
# Fall back to legacy JSONL
transcript_path = self.get_transcript_path(session_id)
jsonl_messages = []
if transcript_path.exists():
with open(transcript_path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if line:
try:
jsonl_messages.append(json.loads(line))
except json.JSONDecodeError:
logger.warning(
"Skipping corrupt line in transcript %s: %s",
session_id, line[:120],
)
# Prefer whichever source has more messages.
#
# Background: when a session pre-dates SQLite storage (or when the DB
# layer was added while a long-lived session was already active), the
# first post-migration turn writes only the *new* messages to SQLite
# (because _flush_messages_to_session_db skips messages already in
# conversation_history, assuming they're persisted). On the *next*
# turn load_transcript returns those few SQLite rows and ignores the
# full JSONL history — the model sees a context of 1-4 messages instead
# of hundreds. Using the longer source prevents this silent truncation.
if len(jsonl_messages) > len(db_messages):
if db_messages:
logger.debug(
"Session %s: JSONL has %d messages vs SQLite %d"
"using JSONL (legacy session not yet fully migrated)",
session_id, len(jsonl_messages), len(db_messages),
)
return jsonl_messages
return db_messages
if not transcript_path.exists():
return []
messages = []
with open(transcript_path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if line:
messages.append(json.loads(line))
return messages
def build_session_context(

View File

@@ -17,7 +17,6 @@ import os
import sys
from datetime import datetime, timezone
from pathlib import Path
from hermes_constants import get_hermes_home
from typing import Any, Optional
_GATEWAY_KIND = "hermes-gateway"
@@ -27,7 +26,7 @@ _LOCKS_DIRNAME = "gateway-locks"
def _get_pid_path() -> Path:
"""Return the path to the gateway PID file, respecting HERMES_HOME."""
home = get_hermes_home()
home = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
return home / "gateway.pid"
@@ -84,30 +83,11 @@ def _looks_like_gateway_process(pid: int) -> bool:
"""Return True when the live PID still looks like the Hermes gateway."""
cmdline = _read_process_cmdline(pid)
if not cmdline:
return False
# If we cannot inspect the process, fall back to the liveness check.
return True
patterns = (
"hermes_cli.main gateway",
"hermes_cli/main.py gateway",
"hermes gateway",
"gateway/run.py",
)
return any(pattern in cmdline for pattern in patterns)
def _record_looks_like_gateway(record: dict[str, Any]) -> bool:
"""Validate gateway identity from PID-file metadata when cmdline is unavailable."""
if record.get("kind") != _GATEWAY_KIND:
return False
argv = record.get("argv")
if not isinstance(argv, list) or not argv:
return False
cmdline = " ".join(str(part) for part in argv)
patterns = (
"hermes_cli.main gateway",
"hermes_cli/main.py gateway",
"hermes gateway",
"gateway/run.py",
)
@@ -198,8 +178,8 @@ def write_runtime_status(
payload = _read_json_file(path) or _build_runtime_status_record()
payload.setdefault("platforms", {})
payload.setdefault("kind", _GATEWAY_KIND)
payload["pid"] = os.getpid()
payload["start_time"] = _get_process_start_time(os.getpid())
payload.setdefault("pid", os.getpid())
payload.setdefault("start_time", _get_process_start_time(os.getpid()))
payload["updated_at"] = _utc_now_iso()
if gateway_state is not None:
@@ -275,21 +255,6 @@ def acquire_scoped_lock(scope: str, identity: str, metadata: Optional[dict[str,
and current_start != existing.get("start_time")
):
stale = True
# Check if process is stopped (Ctrl+Z / SIGTSTP) — stopped
# processes still respond to os.kill(pid, 0) but are not
# actually running. Treat them as stale so --replace works.
if not stale:
try:
_proc_status = Path(f"/proc/{existing_pid}/status")
if _proc_status.exists():
for _line in _proc_status.read_text().splitlines():
if _line.startswith("State:"):
_state = _line.split()[1]
if _state in ("T", "t"): # stopped or tracing stop
stale = True
break
except (OSError, PermissionError):
pass
if stale:
try:
lock_path.unlink(missing_ok=True)
@@ -330,25 +295,6 @@ def release_scoped_lock(scope: str, identity: str) -> None:
pass
def release_all_scoped_locks() -> int:
"""Remove all scoped lock files in the lock directory.
Called during --replace to clean up stale locks left by stopped/killed
gateway processes that did not release their locks gracefully.
Returns the number of lock files removed.
"""
lock_dir = _get_lock_dir()
removed = 0
if lock_dir.exists():
for lock_file in lock_dir.glob("*.lock"):
try:
lock_file.unlink(missing_ok=True)
removed += 1
except OSError:
pass
return removed
def get_running_pid() -> Optional[int]:
"""Return the PID of a running gateway instance, or ``None``.
@@ -379,9 +325,8 @@ def get_running_pid() -> Optional[int]:
return None
if not _looks_like_gateway_process(pid):
if not _record_looks_like_gateway(record):
remove_pid_file()
return None
remove_pid_file()
return None
return pid

View File

@@ -9,7 +9,9 @@ Cache location: ~/.hermes/sticker_cache.json
"""
import json
import os
import time
from pathlib import Path
from typing import Optional
from hermes_cli.config import get_hermes_home

View File

@@ -1,202 +0,0 @@
"""Gateway streaming consumer — bridges sync agent callbacks to async platform delivery.
The agent fires stream_delta_callback(text) synchronously from its worker thread.
GatewayStreamConsumer:
1. Receives deltas via on_delta() (thread-safe, sync)
2. Queues them to an asyncio task via queue.Queue
3. The async run() task buffers, rate-limits, and progressively edits
a single message on the target platform
Design: Uses the edit transport (send initial message, then editMessageText).
This is universally supported across Telegram, Discord, and Slack.
Credit: jobless0x (#774, #1312), OutThisLife (#798), clicksingh (#697).
"""
from __future__ import annotations
import asyncio
import logging
import queue
import time
from dataclasses import dataclass
from typing import Any, Optional
logger = logging.getLogger("gateway.stream_consumer")
# Sentinel to signal the stream is complete
_DONE = object()
@dataclass
class StreamConsumerConfig:
"""Runtime config for a single stream consumer instance."""
edit_interval: float = 0.3
buffer_threshold: int = 40
cursor: str = ""
class GatewayStreamConsumer:
"""Async consumer that progressively edits a platform message with streamed tokens.
Usage::
consumer = GatewayStreamConsumer(adapter, chat_id, config, metadata=metadata)
# Pass consumer.on_delta as stream_delta_callback to AIAgent
agent = AIAgent(..., stream_delta_callback=consumer.on_delta)
# Start the consumer as an asyncio task
task = asyncio.create_task(consumer.run())
# ... run agent in thread pool ...
consumer.finish() # signal completion
await task # wait for final edit
"""
def __init__(
self,
adapter: Any,
chat_id: str,
config: Optional[StreamConsumerConfig] = None,
metadata: Optional[dict] = None,
):
self.adapter = adapter
self.chat_id = chat_id
self.cfg = config or StreamConsumerConfig()
self.metadata = metadata
self._queue: queue.Queue = queue.Queue()
self._accumulated = ""
self._message_id: Optional[str] = None
self._already_sent = False
self._edit_supported = True # Disabled on first edit failure (Signal/Email/HA)
self._last_edit_time = 0.0
self._last_sent_text = "" # Track last-sent text to skip redundant edits
@property
def already_sent(self) -> bool:
"""True if at least one message was sent/edited — signals the base
adapter to skip re-sending the final response."""
return self._already_sent
def on_delta(self, text: str) -> None:
"""Thread-safe callback — called from the agent's worker thread."""
if text:
self._queue.put(text)
def finish(self) -> None:
"""Signal that the stream is complete."""
self._queue.put(_DONE)
async def run(self) -> None:
"""Async task that drains the queue and edits the platform message."""
# Platform message length limit — leave room for cursor + formatting
_raw_limit = getattr(self.adapter, "MAX_MESSAGE_LENGTH", 4096)
_safe_limit = max(500, _raw_limit - len(self.cfg.cursor) - 100)
try:
while True:
# Drain all available items from the queue
got_done = False
while True:
try:
item = self._queue.get_nowait()
if item is _DONE:
got_done = True
break
self._accumulated += item
except queue.Empty:
break
# Decide whether to flush an edit
now = time.monotonic()
elapsed = now - self._last_edit_time
should_edit = (
got_done
or (elapsed >= self.cfg.edit_interval
and len(self._accumulated) > 0)
or len(self._accumulated) >= self.cfg.buffer_threshold
)
if should_edit and self._accumulated:
# Split overflow: if accumulated text exceeds the platform
# limit, finalize the current message and start a new one.
while (
len(self._accumulated) > _safe_limit
and self._message_id is not None
):
split_at = self._accumulated.rfind("\n", 0, _safe_limit)
if split_at < _safe_limit // 2:
split_at = _safe_limit
chunk = self._accumulated[:split_at]
await self._send_or_edit(chunk)
self._accumulated = self._accumulated[split_at:].lstrip("\n")
self._message_id = None
self._last_sent_text = ""
display_text = self._accumulated
if not got_done:
display_text += self.cfg.cursor
await self._send_or_edit(display_text)
self._last_edit_time = time.monotonic()
if got_done:
# Final edit without cursor
if self._accumulated and self._message_id:
await self._send_or_edit(self._accumulated)
return
await asyncio.sleep(0.05) # Small yield to not busy-loop
except asyncio.CancelledError:
# Best-effort final edit on cancellation
if self._accumulated and self._message_id:
try:
await self._send_or_edit(self._accumulated)
except Exception:
pass
except Exception as e:
logger.error("Stream consumer error: %s", e)
async def _send_or_edit(self, text: str) -> None:
"""Send or edit the streaming message."""
try:
if self._message_id is not None:
if self._edit_supported:
# Skip if text is identical to what we last sent
if text == self._last_sent_text:
return
# Edit existing message
result = await self.adapter.edit_message(
chat_id=self.chat_id,
message_id=self._message_id,
content=text,
)
if result.success:
self._already_sent = True
self._last_sent_text = text
else:
# Edit not supported by this adapter — stop streaming,
# let the normal send path handle the final response.
# Without this guard, adapters like Signal/Email would
# flood the chat with a new message every edit_interval.
logger.debug("Edit failed, disabling streaming for this adapter")
self._edit_supported = False
else:
# Editing not supported — skip intermediate updates.
# The final response will be sent by the normal path.
pass
else:
# First message — send new
result = await self.adapter.send(
chat_id=self.chat_id,
content=text,
metadata=self.metadata,
)
if result.success and result.message_id:
self._message_id = result.message_id
self._already_sent = True
self._last_sent_text = text
else:
# Initial send failed — disable streaming for this session
self._edit_supported = False
except Exception as e:
logger.error("Stream send/edit error: %s", e)

11
hermes
View File

@@ -1,11 +1,12 @@
#!/usr/bin/env python3
"""
Hermes Agent CLI launcher.
Hermes Agent CLI Launcher
This wrapper should behave like the installed `hermes` command, including
subcommands such as `gateway`, `cron`, and `doctor`.
This is a convenience wrapper to launch the Hermes CLI.
Usage: ./hermes [options]
"""
if __name__ == "__main__":
from hermes_cli.main import main
main()
from cli import main
import fire
fire.Fire(main)

View File

@@ -11,5 +11,5 @@ Provides subcommands for:
- hermes cron - Manage cron jobs
"""
__version__ = "0.6.0"
__release_date__ = "2026.3.30"
__version__ = "0.2.0"
__release_date__ = "2026.3.12"

View File

@@ -19,7 +19,6 @@ import json
import logging
import os
import shutil
import shlex
import stat
import base64
import hashlib
@@ -67,8 +66,6 @@ DEFAULT_AGENT_KEY_MIN_TTL_SECONDS = 30 * 60 # 30 minutes
ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120 # refresh 2 min before expiry
DEVICE_AUTH_POLL_INTERVAL_CAP_SECONDS = 1 # poll at most every 1s
DEFAULT_CODEX_BASE_URL = "https://chatgpt.com/backend-api/codex"
DEFAULT_GITHUB_MODELS_BASE_URL = "https://api.githubcopilot.com"
DEFAULT_COPILOT_ACP_BASE_URL = "acp://copilot"
CODEX_OAUTH_CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann"
CODEX_OAUTH_TOKEN_URL = "https://auth.openai.com/oauth/token"
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120
@@ -111,20 +108,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
auth_type="oauth_external",
inference_base_url=DEFAULT_CODEX_BASE_URL,
),
"copilot": ProviderConfig(
id="copilot",
name="GitHub Copilot",
auth_type="api_key",
inference_base_url=DEFAULT_GITHUB_MODELS_BASE_URL,
api_key_env_vars=("COPILOT_GITHUB_TOKEN", "GH_TOKEN", "GITHUB_TOKEN"),
),
"copilot-acp": ProviderConfig(
id="copilot-acp",
name="GitHub Copilot ACP",
auth_type="external_process",
inference_base_url=DEFAULT_COPILOT_ACP_BASE_URL,
base_url_env_var="COPILOT_ACP_BASE_URL",
),
"zai": ProviderConfig(
id="zai",
name="Z.AI / GLM",
@@ -145,7 +128,7 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
id="minimax",
name="MiniMax",
auth_type="api_key",
inference_base_url="https://api.minimax.io/anthropic",
inference_base_url="https://api.minimax.io/v1",
api_key_env_vars=("MINIMAX_API_KEY",),
base_url_env_var="MINIMAX_BASE_URL",
),
@@ -156,70 +139,14 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
inference_base_url="https://api.anthropic.com",
api_key_env_vars=("ANTHROPIC_API_KEY", "ANTHROPIC_TOKEN", "CLAUDE_CODE_OAUTH_TOKEN"),
),
"alibaba": ProviderConfig(
id="alibaba",
name="Alibaba Cloud (DashScope)",
auth_type="api_key",
inference_base_url="https://coding-intl.dashscope.aliyuncs.com/v1",
api_key_env_vars=("DASHSCOPE_API_KEY",),
base_url_env_var="DASHSCOPE_BASE_URL",
),
"minimax-cn": ProviderConfig(
id="minimax-cn",
name="MiniMax (China)",
auth_type="api_key",
inference_base_url="https://api.minimaxi.com/anthropic",
inference_base_url="https://api.minimaxi.com/v1",
api_key_env_vars=("MINIMAX_CN_API_KEY",),
base_url_env_var="MINIMAX_CN_BASE_URL",
),
"deepseek": ProviderConfig(
id="deepseek",
name="DeepSeek",
auth_type="api_key",
inference_base_url="https://api.deepseek.com/v1",
api_key_env_vars=("DEEPSEEK_API_KEY",),
base_url_env_var="DEEPSEEK_BASE_URL",
),
"ai-gateway": ProviderConfig(
id="ai-gateway",
name="AI Gateway",
auth_type="api_key",
inference_base_url="https://ai-gateway.vercel.sh/v1",
api_key_env_vars=("AI_GATEWAY_API_KEY",),
base_url_env_var="AI_GATEWAY_BASE_URL",
),
"opencode-zen": ProviderConfig(
id="opencode-zen",
name="OpenCode Zen",
auth_type="api_key",
inference_base_url="https://opencode.ai/zen/v1",
api_key_env_vars=("OPENCODE_ZEN_API_KEY",),
base_url_env_var="OPENCODE_ZEN_BASE_URL",
),
"opencode-go": ProviderConfig(
id="opencode-go",
name="OpenCode Go",
auth_type="api_key",
inference_base_url="https://opencode.ai/zen/go/v1",
api_key_env_vars=("OPENCODE_GO_API_KEY",),
base_url_env_var="OPENCODE_GO_BASE_URL",
),
"kilocode": ProviderConfig(
id="kilocode",
name="Kilo Code",
auth_type="api_key",
inference_base_url="https://api.kilo.ai/api/gateway",
api_key_env_vars=("KILOCODE_API_KEY",),
base_url_env_var="KILOCODE_BASE_URL",
),
"huggingface": ProviderConfig(
id="huggingface",
name="Hugging Face",
auth_type="api_key",
inference_base_url="https://router.huggingface.co/v1",
api_key_env_vars=("HF_TOKEN",),
base_url_env_var="HF_BASE_URL",
),
}
@@ -247,97 +174,6 @@ def _resolve_kimi_base_url(api_key: str, default_url: str, env_override: str) ->
return default_url
def _gh_cli_candidates() -> list[str]:
"""Return candidate ``gh`` binary paths, including common Homebrew installs."""
candidates: list[str] = []
resolved = shutil.which("gh")
if resolved:
candidates.append(resolved)
for candidate in (
"/opt/homebrew/bin/gh",
"/usr/local/bin/gh",
str(Path.home() / ".local" / "bin" / "gh"),
):
if candidate in candidates:
continue
if os.path.isfile(candidate) and os.access(candidate, os.X_OK):
candidates.append(candidate)
return candidates
def _try_gh_cli_token() -> Optional[str]:
"""Return a token from ``gh auth token`` when the GitHub CLI is available."""
for gh_path in _gh_cli_candidates():
try:
result = subprocess.run(
[gh_path, "auth", "token"],
capture_output=True,
text=True,
timeout=5,
)
except (FileNotFoundError, subprocess.TimeoutExpired) as exc:
logger.debug("gh CLI token lookup failed (%s): %s", gh_path, exc)
continue
if result.returncode == 0 and result.stdout.strip():
return result.stdout.strip()
return None
_PLACEHOLDER_SECRET_VALUES = {
"*",
"**",
"***",
"changeme",
"your_api_key",
"your-api-key",
"placeholder",
"example",
"dummy",
"null",
"none",
}
def has_usable_secret(value: Any, *, min_length: int = 4) -> bool:
"""Return True when a configured secret looks usable, not empty/placeholder."""
if not isinstance(value, str):
return False
cleaned = value.strip()
if len(cleaned) < min_length:
return False
if cleaned.lower() in _PLACEHOLDER_SECRET_VALUES:
return False
return True
def _resolve_api_key_provider_secret(
provider_id: str, pconfig: ProviderConfig
) -> tuple[str, str]:
"""Resolve an API-key provider's token and indicate where it came from."""
if provider_id == "copilot":
# Use the dedicated copilot auth module for proper token validation
try:
from hermes_cli.copilot_auth import resolve_copilot_token
token, source = resolve_copilot_token()
if token:
return token, source
except ValueError as exc:
logger.warning("Copilot token validation failed: %s", exc)
except Exception:
pass
return "", ""
for env_var in pconfig.api_key_env_vars:
val = os.getenv(env_var, "").strip()
if has_usable_secret(val):
return val, env_var
return "", ""
# =============================================================================
# Z.AI Endpoint Detection
# =============================================================================
@@ -688,25 +524,11 @@ def resolve_provider(
"kimi": "kimi-coding", "moonshot": "kimi-coding",
"minimax-china": "minimax-cn", "minimax_cn": "minimax-cn",
"claude": "anthropic", "claude-code": "anthropic",
"github": "copilot", "github-copilot": "copilot",
"github-models": "copilot", "github-model": "copilot",
"github-copilot-acp": "copilot-acp", "copilot-acp-agent": "copilot-acp",
"aigateway": "ai-gateway", "vercel": "ai-gateway", "vercel-ai-gateway": "ai-gateway",
"opencode": "opencode-zen", "zen": "opencode-zen",
"hf": "huggingface", "hugging-face": "huggingface", "huggingface-hub": "huggingface",
"go": "opencode-go", "opencode-go-sub": "opencode-go",
"kilo": "kilocode", "kilo-code": "kilocode", "kilo-gateway": "kilocode",
# Local server aliases — route through the generic custom provider
"lmstudio": "custom", "lm-studio": "custom", "lm_studio": "custom",
"ollama": "custom", "vllm": "custom", "llamacpp": "custom",
"llama.cpp": "custom", "llama-cpp": "custom",
}
normalized = _PROVIDER_ALIASES.get(normalized, normalized)
if normalized == "openrouter":
if normalized in {"openrouter", "custom"}:
return "openrouter"
if normalized == "custom":
return "custom"
if normalized in PROVIDER_REGISTRY:
return normalized
if normalized != "auto":
@@ -730,28 +552,18 @@ def resolve_provider(
except Exception as e:
logger.debug("Could not detect active auth provider: %s", e)
if has_usable_secret(os.getenv("OPENAI_API_KEY")) or has_usable_secret(os.getenv("OPENROUTER_API_KEY")):
if os.getenv("OPENAI_API_KEY") or os.getenv("OPENROUTER_API_KEY"):
return "openrouter"
# Auto-detect API-key providers by checking their env vars
for pid, pconfig in PROVIDER_REGISTRY.items():
if pconfig.auth_type != "api_key":
continue
# GitHub tokens are commonly present for repo/tool access but should not
# hijack inference auto-selection unless the user explicitly chooses
# Copilot/GitHub Models as the provider.
if pid == "copilot":
continue
for env_var in pconfig.api_key_env_vars:
if has_usable_secret(os.getenv(env_var, "")):
if os.getenv(env_var, "").strip():
return pid
raise AuthError(
"No inference provider configured. Run 'hermes model' to choose a "
"provider and model, or set an API key (OPENROUTER_API_KEY, "
"OPENAI_API_KEY, etc.) in ~/.hermes/.env.",
code="no_provider_configured",
)
return "openrouter"
# =============================================================================
@@ -1615,7 +1427,12 @@ def get_api_key_provider_status(provider_id: str) -> Dict[str, Any]:
api_key = ""
key_source = ""
api_key, key_source = _resolve_api_key_provider_secret(provider_id, pconfig)
for env_var in pconfig.api_key_env_vars:
val = os.getenv(env_var, "").strip()
if val:
api_key = val
key_source = env_var
break
env_url = ""
if pconfig.base_url_env_var:
@@ -1638,36 +1455,6 @@ def get_api_key_provider_status(provider_id: str) -> Dict[str, Any]:
}
def get_external_process_provider_status(provider_id: str) -> Dict[str, Any]:
"""Status snapshot for providers that run a local subprocess."""
pconfig = PROVIDER_REGISTRY.get(provider_id)
if not pconfig or pconfig.auth_type != "external_process":
return {"configured": False}
command = (
os.getenv("HERMES_COPILOT_ACP_COMMAND", "").strip()
or os.getenv("COPILOT_CLI_PATH", "").strip()
or "copilot"
)
raw_args = os.getenv("HERMES_COPILOT_ACP_ARGS", "").strip()
args = shlex.split(raw_args) if raw_args else ["--acp", "--stdio"]
base_url = os.getenv(pconfig.base_url_env_var, "").strip() if pconfig.base_url_env_var else ""
if not base_url:
base_url = pconfig.inference_base_url
resolved_command = shutil.which(command) if command else None
return {
"configured": bool(resolved_command or base_url.startswith("acp+tcp://")),
"provider": provider_id,
"name": pconfig.name,
"command": command,
"args": args,
"resolved_command": resolved_command,
"base_url": base_url,
"logged_in": bool(resolved_command or base_url.startswith("acp+tcp://")),
}
def get_auth_status(provider_id: Optional[str] = None) -> Dict[str, Any]:
"""Generic auth status dispatcher."""
target = provider_id or get_active_provider()
@@ -1675,8 +1462,6 @@ def get_auth_status(provider_id: Optional[str] = None) -> Dict[str, Any]:
return get_nous_auth_status()
if target == "openai-codex":
return get_codex_auth_status()
if target == "copilot-acp":
return get_external_process_provider_status(target)
# API-key providers
pconfig = PROVIDER_REGISTRY.get(target)
if pconfig and pconfig.auth_type == "api_key":
@@ -1699,7 +1484,12 @@ def resolve_api_key_provider_credentials(provider_id: str) -> Dict[str, Any]:
api_key = ""
key_source = ""
api_key, key_source = _resolve_api_key_provider_secret(provider_id, pconfig)
for env_var in pconfig.api_key_env_vars:
val = os.getenv(env_var, "").strip()
if val:
api_key = val
key_source = env_var
break
env_url = ""
if pconfig.base_url_env_var:
@@ -1720,46 +1510,6 @@ def resolve_api_key_provider_credentials(provider_id: str) -> Dict[str, Any]:
}
def resolve_external_process_provider_credentials(provider_id: str) -> Dict[str, Any]:
"""Resolve runtime details for local subprocess-backed providers."""
pconfig = PROVIDER_REGISTRY.get(provider_id)
if not pconfig or pconfig.auth_type != "external_process":
raise AuthError(
f"Provider '{provider_id}' is not an external-process provider.",
provider=provider_id,
code="invalid_provider",
)
base_url = os.getenv(pconfig.base_url_env_var, "").strip() if pconfig.base_url_env_var else ""
if not base_url:
base_url = pconfig.inference_base_url
command = (
os.getenv("HERMES_COPILOT_ACP_COMMAND", "").strip()
or os.getenv("COPILOT_CLI_PATH", "").strip()
or "copilot"
)
raw_args = os.getenv("HERMES_COPILOT_ACP_ARGS", "").strip()
args = shlex.split(raw_args) if raw_args else ["--acp", "--stdio"]
resolved_command = shutil.which(command) if command else None
if not resolved_command and not base_url.startswith("acp+tcp://"):
raise AuthError(
f"Could not find the Copilot CLI command '{command}'. "
"Install GitHub Copilot CLI or set HERMES_COPILOT_ACP_COMMAND/COPILOT_CLI_PATH.",
provider=provider_id,
code="missing_copilot_cli",
)
return {
"provider": provider_id,
"api_key": "copilot-acp",
"base_url": base_url.rstrip("/"),
"command": resolved_command or command,
"args": args,
"source": "process",
}
# =============================================================================
# External credential detection
# =============================================================================
@@ -2030,8 +1780,7 @@ def _login_openai_codex(args, pconfig: ProviderConfig) -> None:
config_path = _update_config_for_provider("openai-codex", creds.get("base_url", DEFAULT_CODEX_BASE_URL))
print()
print("Login successful!")
from hermes_constants import display_hermes_home as _dhh
print(f" Auth state: {_dhh()}/auth.json")
print(f" Auth state: ~/.hermes/auth.json")
print(f" Config updated: {config_path} (model.provider=openai-codex)")
@@ -2075,9 +1824,9 @@ def _codex_device_code_login() -> Dict[str, Any]:
# Step 2: Show user the code
print("To continue, follow these steps:\n")
print(" 1. Open this URL in your browser:")
print(f" 1. Open this URL in your browser:")
print(f" \033[94m{issuer}/codex/device\033[0m\n")
print(" 2. Enter this code:")
print(f" 2. Enter this code:")
print(f" \033[94m{user_code}\033[0m\n")
print("Waiting for sign-in... (press Ctrl+C to cancel)")
@@ -2310,20 +2059,21 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
raise AuthError("No runtime API key available to fetch models",
provider="nous", code="invalid_token")
# Use curated model list (same as OpenRouter defaults) instead
# of the full /models dump which returns hundreds of models.
from hermes_cli.models import _PROVIDER_MODELS
model_ids = _PROVIDER_MODELS.get("nous", [])
model_ids = fetch_nous_models(
inference_base_url=runtime_base_url,
api_key=runtime_key,
timeout_seconds=timeout_seconds,
verify=verify,
)
print()
if model_ids:
print(f"Showing {len(model_ids)} curated models — use \"Enter custom model name\" for others.")
selected_model = _prompt_model_selection(model_ids)
if selected_model:
_save_model_choice(selected_model)
print(f"Default model set to: {selected_model}")
else:
print("No curated models available for Nous Portal.")
print("No models were returned by the inference API.")
except Exception as exc:
message = format_auth_error(exc) if isinstance(exc, AuthError) else str(exc)
print()

View File

@@ -11,8 +11,7 @@ import subprocess
import threading
import time
from pathlib import Path
from hermes_constants import get_hermes_home
from typing import Dict, List, Optional
from typing import Dict, List, Any, Optional
from rich.console import Console
from rich.panel import Panel
@@ -28,7 +27,7 @@ logger = logging.getLogger(__name__)
# ANSI building blocks for conversation display
# =========================================================================
_GOLD = "\033[1;38;2;255;215;0m" # True-color #FFD700 bold
_GOLD = "\033[1;33m"
_BOLD = "\033[1m"
_DIM = "\033[2m"
_RST = "\033[0m"
@@ -103,22 +102,27 @@ COMPACT_BANNER = """
# =========================================================================
def get_available_skills() -> Dict[str, List[str]]:
"""Return skills grouped by category, filtered by platform and disabled state.
"""Scan ~/.hermes/skills/ and return skills grouped by category."""
import os
Delegates to ``_find_all_skills()`` from ``tools/skills_tool`` which already
handles platform gating (``platforms:`` frontmatter) and respects the
user's ``skills.disabled`` config list.
"""
try:
from tools.skills_tool import _find_all_skills
all_skills = _find_all_skills() # already filtered
except Exception:
return {}
hermes_home = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
skills_dir = hermes_home / "skills"
skills_by_category = {}
if not skills_dir.exists():
return skills_by_category
for skill_file in skills_dir.rglob("SKILL.md"):
rel_path = skill_file.relative_to(skills_dir)
parts = rel_path.parts
if len(parts) >= 2:
category = parts[0]
skill_name = parts[-2]
else:
category = "general"
skill_name = skill_file.parent.name
skills_by_category.setdefault(category, []).append(skill_name)
skills_by_category: Dict[str, List[str]] = {}
for skill in all_skills:
category = skill.get("category") or "general"
skills_by_category.setdefault(category, []).append(skill["name"])
return skills_by_category
@@ -137,7 +141,7 @@ def check_for_updates() -> Optional[int]:
``~/.hermes/.update_check``). Returns the number of commits behind,
or ``None`` if the check fails or isn't applicable.
"""
hermes_home = get_hermes_home()
hermes_home = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
repo_dir = hermes_home / "hermes-agent"
cache_file = hermes_home / ".update_check"
@@ -229,17 +233,6 @@ def _format_context_length(tokens: int) -> str:
return str(tokens)
def _display_toolset_name(toolset_name: str) -> str:
"""Normalize internal/legacy toolset identifiers for banner display."""
if not toolset_name:
return "unknown"
return (
toolset_name[:-6]
if toolset_name.endswith("_tools")
else toolset_name
)
def build_welcome_banner(console: Console, model: str, cwd: str,
tools: List[dict] = None,
enabled_toolsets: List[str] = None,
@@ -267,18 +260,8 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
_, unavailable_toolsets = check_tool_availability(quiet=True)
disabled_tools = set()
# Tools whose toolset has a check_fn are lazy-initialized (e.g. honcho,
# homeassistant) — they show as unavailable at banner time because the
# check hasn't run yet, but they aren't misconfigured.
lazy_tools = set()
for item in unavailable_toolsets:
toolset_name = item.get("name", "")
ts_req = TOOLSET_REQUIREMENTS.get(toolset_name, {})
tools_in_ts = item.get("tools", [])
if ts_req.get("check_fn"):
lazy_tools.update(tools_in_ts)
else:
disabled_tools.update(tools_in_ts)
disabled_tools.update(item.get("tools", []))
layout_table = Table.grid(padding=(0, 2))
layout_table.add_column("left", justify="center")
@@ -300,8 +283,6 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
_hero = HERMES_CADUCEUS
left_lines = ["", _hero, ""]
model_short = model.split("/")[-1] if "/" in model else model
if model_short.endswith(".gguf"):
model_short = model_short[:-5]
if len(model_short) > 28:
model_short = model_short[:25] + "..."
ctx_str = f" [dim {dim}]·[/] [dim {dim}]{_format_context_length(context_length)} context[/]" if context_length else ""
@@ -316,12 +297,12 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
for tool in tools:
tool_name = tool["function"]["name"]
toolset = _display_toolset_name(get_toolset_for_tool(tool_name) or "other")
toolset = get_toolset_for_tool(tool_name) or "other"
toolsets_dict.setdefault(toolset, []).append(tool_name)
for item in unavailable_toolsets:
toolset_id = item.get("id", item.get("name", "unknown"))
display_name = _display_toolset_name(toolset_id)
display_name = f"{toolset_id}_tools" if not toolset_id.endswith("_tools") else toolset_id
if display_name not in toolsets_dict:
toolsets_dict[display_name] = []
for tool_name in item.get("tools", []):
@@ -338,8 +319,6 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
for name in sorted(tool_names):
if name in disabled_tools:
colored_names.append(f"[red]{name}[/]")
elif name in lazy_tools:
colored_names.append(f"[yellow]{name}[/]")
else:
colored_names.append(f"[{text}]{name}[/]")
@@ -359,16 +338,14 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
colored_names.append("[dim]...[/]")
elif name in disabled_tools:
colored_names.append(f"[red]{name}[/]")
elif name in lazy_tools:
colored_names.append(f"[yellow]{name}[/]")
else:
colored_names.append(f"[{text}]{name}[/]")
tools_str = ", ".join(colored_names)
right_lines.append(f"[dim {dim}]{toolset}:[/] {tools_str}")
right_lines.append(f"[dim #B8860B]{toolset}:[/] {tools_str}")
if remaining_toolsets > 0:
right_lines.append(f"[dim {dim}](and {remaining_toolsets} more toolsets...)[/]")
right_lines.append(f"[dim #B8860B](and {remaining_toolsets} more toolsets...)[/]")
# MCP Servers section (only if configured)
try:
@@ -379,12 +356,12 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
if mcp_status:
right_lines.append("")
right_lines.append(f"[bold {accent}]MCP Servers[/]")
right_lines.append("[bold #FFBF00]MCP Servers[/]")
for srv in mcp_status:
if srv["connected"]:
right_lines.append(
f"[dim {dim}]{srv['name']}[/] [{text}]({srv['transport']})[/] "
f"[dim {dim}]—[/] [{text}]{srv['tools']} tool(s)[/]"
f"[dim #B8860B]{srv['name']}[/] [#FFF8DC]({srv['transport']})[/] "
f"[dim #B8860B]—[/] [#FFF8DC]{srv['tools']} tool(s)[/]"
)
else:
right_lines.append(
@@ -417,15 +394,6 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
if mcp_connected:
summary_parts.append(f"{mcp_connected} MCP servers")
summary_parts.append("/help for commands")
# Show active profile name when not 'default'
try:
from hermes_cli.profiles import get_active_profile_name
_profile_name = get_active_profile_name()
if _profile_name and _profile_name != "default":
right_lines.append(f"[bold {accent}]Profile:[/] [{text}]{_profile_name}[/]")
except Exception:
pass # Never break the banner over a profiles.py bug
right_lines.append(f"[dim {dim}]{' · '.join(summary_parts)}[/]")
# Update check — use prefetched result if available

View File

@@ -12,7 +12,6 @@ import getpass
from hermes_cli.banner import cprint, _DIM, _RST
from hermes_cli.config import save_env_value_secure
from hermes_constants import display_hermes_home
def clarify_callback(cli, question, choices):
@@ -132,8 +131,7 @@ def prompt_for_secret(cli, var_name: str, prompt: str, metadata=None) -> dict:
}
stored = save_env_value_secure(var_name, value)
_dhh = display_hermes_home()
cprint(f"\n{_DIM} ✓ Stored secret in {_dhh}/.env as {var_name}{_RST}")
cprint(f"\n{_DIM} ✓ Stored secret in ~/.hermes/.env as {var_name}{_RST}")
return {
**stored,
"skipped": False,
@@ -185,8 +183,7 @@ def prompt_for_secret(cli, var_name: str, prompt: str, metadata=None) -> dict:
}
stored = save_env_value_secure(var_name, value)
_dhh = display_hermes_home()
cprint(f"\n{_DIM} ✓ Stored secret in {_dhh}/.env as {var_name}{_RST}")
cprint(f"\n{_DIM} ✓ Stored secret in ~/.hermes/.env as {var_name}{_RST}")
return {
**stored,
"skipped": False,
@@ -241,8 +238,7 @@ def approval_callback(cli, command: str, description: str) -> str:
lock = cli._approval_lock
with lock:
from cli import CLI_CONFIG
timeout = CLI_CONFIG.get("approvals", {}).get("timeout", 60)
timeout = 60
response_queue = queue.Queue()
choices = ["once", "session", "always", "deny"]
if len(command) > 70:

View File

@@ -5,7 +5,6 @@ toggleable list of items. Falls back to a numbered text UI when
curses is unavailable (Windows without curses, piped stdin, etc.).
"""
import sys
from typing import List, Set
from hermes_cli.colors import Colors, color
@@ -27,10 +26,6 @@ def curses_checklist(
The indices the user confirmed as checked. On cancel (ESC/q),
returns ``pre_selected`` unchanged.
"""
# Safety: return defaults when stdin is not a terminal.
if not sys.stdin.isatty():
return set(pre_selected)
try:
import curses
selected = set(pre_selected)

View File

@@ -18,8 +18,10 @@ from hermes_cli.setup import (
print_header,
print_info,
print_success,
print_warning,
print_error,
prompt_yes_no,
prompt_choice,
)
logger = logging.getLogger(__name__)
@@ -88,19 +90,7 @@ def claw_command(args):
def _cmd_migrate(args):
"""Run the OpenClaw → Hermes migration."""
# Check current and legacy OpenClaw directories
explicit_source = getattr(args, "source", None)
if explicit_source:
source_dir = Path(explicit_source)
else:
source_dir = Path.home() / ".openclaw"
if not source_dir.is_dir():
# Try legacy directory names
for legacy in (".clawdbot", ".moldbot"):
candidate = Path.home() / legacy
if candidate.is_dir():
source_dir = candidate
break
source_dir = Path(getattr(args, "source", None) or Path.home() / ".openclaw")
dry_run = getattr(args, "dry_run", False)
preset = getattr(args, "preset", "full")
overwrite = getattr(args, "overwrite", False)
@@ -137,7 +127,7 @@ def _cmd_migrate(args):
print()
print_error(f"OpenClaw directory not found: {source_dir}")
print_info("Make sure your OpenClaw installation is at the expected path.")
print_info("You can specify a custom path: hermes claw migrate --source /path/to/.openclaw")
print_info(f"You can specify a custom path: hermes claw migrate --source /path/to/.openclaw")
return
# Find the migration script
@@ -218,6 +208,7 @@ def _print_migration_report(report: dict, dry_run: bool):
skipped = summary.get("skipped", 0)
conflicts = summary.get("conflict", 0)
errors = summary.get("error", 0)
total = migrated + skipped + conflicts + errors
print()
if dry_run:
@@ -251,7 +242,7 @@ def _print_migration_report(report: dict, dry_run: bool):
print()
if conflict_items:
print(color(" ⚠ Conflicts (skipped — use --overwrite to force):", Colors.YELLOW))
print(color(f" ⚠ Conflicts (skipped — use --overwrite to force):", Colors.YELLOW))
for item in conflict_items:
kind = item.get("kind", "unknown")
reason = item.get("reason", "already exists")
@@ -259,7 +250,7 @@ def _print_migration_report(report: dict, dry_run: bool):
print()
if skipped_items:
print(color(" ─ Skipped:", Colors.DIM))
print(color(f" ─ Skipped:", Colors.DIM))
for item in skipped_items:
kind = item.get("kind", "unknown")
reason = item.get("reason", "")
@@ -267,7 +258,7 @@ def _print_migration_report(report: dict, dry_run: bool):
print()
if error_items:
print(color(" ✗ Errors:", Colors.RED))
print(color(f" ✗ Errors:", Colors.RED))
for item in error_items:
kind = item.get("kind", "unknown")
reason = item.get("reason", "unknown error")
@@ -303,18 +294,3 @@ def _print_migration_report(report: dict, dry_run: bool):
elif migrated:
print()
print_success("Migration complete!")
# Warn if API keys were skipped (migrate_secrets not enabled)
skipped_keys = [
i for i in report.get("items", [])
if i.get("kind") == "provider-keys" and i.get("status") == "skipped"
]
if skipped_keys:
print()
print(color(" ⚠ API keys were NOT migrated (secrets migration is disabled by default).", Colors.YELLOW))
print(color(" Your OPENROUTER_API_KEY and other provider keys must be added manually.", Colors.YELLOW))
print()
print_info("To migrate API keys, re-run with:")
print_info(" hermes claw migrate --migrate-secrets")
print()
print_info("Or add your key manually:")
print_info(" hermes config set OPENROUTER_API_KEY sk-or-v1-...")

View File

@@ -12,8 +12,6 @@ import os
logger = logging.getLogger(__name__)
DEFAULT_CODEX_MODELS: List[str] = [
"gpt-5.4-mini",
"gpt-5.4",
"gpt-5.3-codex",
"gpt-5.2-codex",
"gpt-5.1-codex-max",
@@ -21,9 +19,8 @@ DEFAULT_CODEX_MODELS: List[str] = [
]
_FORWARD_COMPAT_TEMPLATE_MODELS: List[tuple[str, tuple[str, ...]]] = [
("gpt-5.4-mini", ("gpt-5.3-codex", "gpt-5.2-codex")),
("gpt-5.4", ("gpt-5.3-codex", "gpt-5.2-codex")),
("gpt-5.3-codex", ("gpt-5.2-codex",)),
("gpt-5.4", ("gpt-5.3-codex", "gpt-5.2-codex")),
("gpt-5.3-codex-spark", ("gpt-5.3-codex", "gpt-5.2-codex")),
]

View File

@@ -1,389 +1,71 @@
"""Slash command definitions and autocomplete for the Hermes CLI.
Central registry for all slash commands. Every consumer -- CLI help, gateway
dispatch, Telegram BotCommands, Slack subcommand mapping, autocomplete --
derives its data from ``COMMAND_REGISTRY``.
To add a command: add a ``CommandDef`` entry to ``COMMAND_REGISTRY``.
To add an alias: set ``aliases=("short",)`` on the existing ``CommandDef``.
Contains the shared built-in ``COMMANDS`` dict and ``SlashCommandCompleter``.
The completer can optionally include dynamic skill slash commands supplied by the
interactive CLI.
"""
from __future__ import annotations
import os
import re
from collections.abc import Callable, Mapping
from dataclasses import dataclass
from typing import Any
from prompt_toolkit.auto_suggest import AutoSuggest, Suggestion
from prompt_toolkit.completion import Completer, Completion
# ---------------------------------------------------------------------------
# CommandDef dataclass
# ---------------------------------------------------------------------------
# Commands organized by category for better help display
COMMANDS_BY_CATEGORY = {
"Session": {
"/new": "Start a new session (fresh session ID + history)",
"/reset": "Start a new session (alias for /new)",
"/clear": "Clear screen and start a new session",
"/history": "Show conversation history",
"/save": "Save the current conversation",
"/retry": "Retry the last message (resend to agent)",
"/undo": "Remove the last user/assistant exchange",
"/title": "Set a title for the current session (usage: /title My Session Name)",
"/compress": "Manually compress conversation context (flush memories + summarize)",
"/rollback": "List or restore filesystem checkpoints (usage: /rollback [number])",
"/background": "Run a prompt in the background (usage: /background <prompt>)",
},
"Configuration": {
"/config": "Show current configuration",
"/model": "Show or change the current model",
"/provider": "Show available providers and current provider",
"/prompt": "View/set custom system prompt",
"/personality": "Set a predefined personality",
"/verbose": "Cycle tool progress display: off → new → all → verbose",
"/reasoning": "Manage reasoning effort and display (usage: /reasoning [level|show|hide])",
"/skin": "Show or change the display skin/theme",
"/voice": "Toggle voice mode (Ctrl+B to record). Usage: /voice [on|off|tts|status]",
},
"Tools & Skills": {
"/tools": "List available tools",
"/toolsets": "List available toolsets",
"/skills": "Search, install, inspect, or manage skills from online registries",
"/cron": "Manage scheduled tasks (list, add/create, edit, pause, resume, run, remove)",
"/reload-mcp": "Reload MCP servers from config.yaml",
},
"Info": {
"/help": "Show this help message",
"/usage": "Show token usage for the current session",
"/insights": "Show usage insights and analytics (last 30 days)",
"/platforms": "Show gateway/messaging platform status",
"/paste": "Check clipboard for an image and attach it",
},
"Exit": {
"/quit": "Exit the CLI (also: /exit, /q)",
},
}
@dataclass(frozen=True)
class CommandDef:
"""Definition of a single slash command."""
# Flat dict for backwards compatibility and autocomplete
COMMANDS = {}
for category_commands in COMMANDS_BY_CATEGORY.values():
COMMANDS.update(category_commands)
name: str # canonical name without slash: "background"
description: str # human-readable description
category: str # "Session", "Configuration", etc.
aliases: tuple[str, ...] = () # alternative names: ("bg",)
args_hint: str = "" # argument placeholder: "<prompt>", "[name]"
subcommands: tuple[str, ...] = () # tab-completable subcommands
cli_only: bool = False # only available in CLI
gateway_only: bool = False # only available in gateway/messaging
gateway_config_gate: str | None = None # config dotpath; when truthy, overrides cli_only for gateway
# ---------------------------------------------------------------------------
# Central registry -- single source of truth
# ---------------------------------------------------------------------------
COMMAND_REGISTRY: list[CommandDef] = [
# Session
CommandDef("new", "Start a new session (fresh session ID + history)", "Session",
aliases=("reset",)),
CommandDef("clear", "Clear screen and start a new session", "Session",
cli_only=True),
CommandDef("history", "Show conversation history", "Session",
cli_only=True),
CommandDef("save", "Save the current conversation", "Session",
cli_only=True),
CommandDef("retry", "Retry the last message (resend to agent)", "Session"),
CommandDef("undo", "Remove the last user/assistant exchange", "Session"),
CommandDef("title", "Set a title for the current session", "Session",
args_hint="[name]"),
CommandDef("compress", "Manually compress conversation context", "Session"),
CommandDef("rollback", "List or restore filesystem checkpoints", "Session",
args_hint="[number]"),
CommandDef("stop", "Kill all running background processes", "Session"),
CommandDef("approve", "Approve a pending dangerous command", "Session",
gateway_only=True, args_hint="[session|always]"),
CommandDef("deny", "Deny a pending dangerous command", "Session",
gateway_only=True),
CommandDef("background", "Run a prompt in the background", "Session",
aliases=("bg",), args_hint="<prompt>"),
CommandDef("queue", "Queue a prompt for the next turn (doesn't interrupt)", "Session",
aliases=("q",), args_hint="<prompt>"),
CommandDef("status", "Show session info", "Session",
gateway_only=True),
CommandDef("sethome", "Set this chat as the home channel", "Session",
gateway_only=True, aliases=("set-home",)),
CommandDef("resume", "Resume a previously-named session", "Session",
args_hint="[name]"),
# Configuration
CommandDef("config", "Show current configuration", "Configuration",
cli_only=True),
CommandDef("provider", "Show available providers and current provider",
"Configuration"),
CommandDef("prompt", "View/set custom system prompt", "Configuration",
cli_only=True, args_hint="[text]", subcommands=("clear",)),
CommandDef("personality", "Set a predefined personality", "Configuration",
args_hint="[name]"),
CommandDef("statusbar", "Toggle the context/model status bar", "Configuration",
cli_only=True, aliases=("sb",)),
CommandDef("verbose", "Cycle tool progress display: off -> new -> all -> verbose",
"Configuration", cli_only=True,
gateway_config_gate="display.tool_progress_command"),
CommandDef("reasoning", "Manage reasoning effort and display", "Configuration",
args_hint="[level|show|hide]",
subcommands=("none", "low", "minimal", "medium", "high", "xhigh", "show", "hide", "on", "off")),
CommandDef("skin", "Show or change the display skin/theme", "Configuration",
cli_only=True, args_hint="[name]"),
CommandDef("voice", "Toggle voice mode", "Configuration",
args_hint="[on|off|tts|status]", subcommands=("on", "off", "tts", "status")),
# Tools & Skills
CommandDef("tools", "Manage tools: /tools [list|disable|enable] [name...]", "Tools & Skills",
args_hint="[list|disable|enable] [name...]", cli_only=True),
CommandDef("toolsets", "List available toolsets", "Tools & Skills",
cli_only=True),
CommandDef("skills", "Search, install, inspect, or manage skills",
"Tools & Skills", cli_only=True,
subcommands=("search", "browse", "inspect", "install")),
CommandDef("cron", "Manage scheduled tasks", "Tools & Skills",
cli_only=True, args_hint="[subcommand]",
subcommands=("list", "add", "create", "edit", "pause", "resume", "run", "remove")),
CommandDef("reload-mcp", "Reload MCP servers from config", "Tools & Skills",
aliases=("reload_mcp",)),
CommandDef("browser", "Connect browser tools to your live Chrome via CDP", "Tools & Skills",
cli_only=True, args_hint="[connect|disconnect|status]",
subcommands=("connect", "disconnect", "status")),
CommandDef("plugins", "List installed plugins and their status",
"Tools & Skills", cli_only=True),
# Info
CommandDef("help", "Show available commands", "Info"),
CommandDef("usage", "Show token usage for the current session", "Info"),
CommandDef("insights", "Show usage insights and analytics", "Info",
args_hint="[days]"),
CommandDef("platforms", "Show gateway/messaging platform status", "Info",
cli_only=True, aliases=("gateway",)),
CommandDef("paste", "Check clipboard for an image and attach it", "Info",
cli_only=True),
CommandDef("update", "Update Hermes Agent to the latest version", "Info",
gateway_only=True),
# Exit
CommandDef("quit", "Exit the CLI", "Exit",
cli_only=True, aliases=("exit", "q")),
]
# ---------------------------------------------------------------------------
# Derived lookups -- rebuilt once at import time, refreshed by rebuild_lookups()
# ---------------------------------------------------------------------------
def _build_command_lookup() -> dict[str, CommandDef]:
"""Map every name and alias to its CommandDef."""
lookup: dict[str, CommandDef] = {}
for cmd in COMMAND_REGISTRY:
lookup[cmd.name] = cmd
for alias in cmd.aliases:
lookup[alias] = cmd
return lookup
_COMMAND_LOOKUP: dict[str, CommandDef] = _build_command_lookup()
def resolve_command(name: str) -> CommandDef | None:
"""Resolve a command name or alias to its CommandDef.
Accepts names with or without the leading slash.
"""
return _COMMAND_LOOKUP.get(name.lower().lstrip("/"))
def register_plugin_command(cmd: CommandDef) -> None:
"""Append a plugin-defined command to the registry and refresh lookups."""
COMMAND_REGISTRY.append(cmd)
rebuild_lookups()
def rebuild_lookups() -> None:
"""Rebuild all derived lookup dicts from the current COMMAND_REGISTRY.
Called after plugin commands are registered so they appear in help,
autocomplete, gateway dispatch, Telegram menu, and Slack mapping.
"""
global GATEWAY_KNOWN_COMMANDS
_COMMAND_LOOKUP.clear()
_COMMAND_LOOKUP.update(_build_command_lookup())
COMMANDS.clear()
for cmd in COMMAND_REGISTRY:
if not cmd.gateway_only:
COMMANDS[f"/{cmd.name}"] = _build_description(cmd)
for alias in cmd.aliases:
COMMANDS[f"/{alias}"] = f"{cmd.description} (alias for /{cmd.name})"
COMMANDS_BY_CATEGORY.clear()
for cmd in COMMAND_REGISTRY:
if not cmd.gateway_only:
cat = COMMANDS_BY_CATEGORY.setdefault(cmd.category, {})
cat[f"/{cmd.name}"] = COMMANDS[f"/{cmd.name}"]
for alias in cmd.aliases:
cat[f"/{alias}"] = COMMANDS[f"/{alias}"]
SUBCOMMANDS.clear()
for cmd in COMMAND_REGISTRY:
if cmd.subcommands:
SUBCOMMANDS[f"/{cmd.name}"] = list(cmd.subcommands)
for cmd in COMMAND_REGISTRY:
key = f"/{cmd.name}"
if key in SUBCOMMANDS or not cmd.args_hint:
continue
m = _PIPE_SUBS_RE.search(cmd.args_hint)
if m:
SUBCOMMANDS[key] = m.group(0).split("|")
GATEWAY_KNOWN_COMMANDS = frozenset(
name
for cmd in COMMAND_REGISTRY
if not cmd.cli_only or cmd.gateway_config_gate
for name in (cmd.name, *cmd.aliases)
)
def _build_description(cmd: CommandDef) -> str:
"""Build a CLI-facing description string including usage hint."""
if cmd.args_hint:
return f"{cmd.description} (usage: /{cmd.name} {cmd.args_hint})"
return cmd.description
# Backwards-compatible flat dict: "/command" -> description
COMMANDS: dict[str, str] = {}
for _cmd in COMMAND_REGISTRY:
if not _cmd.gateway_only:
COMMANDS[f"/{_cmd.name}"] = _build_description(_cmd)
for _alias in _cmd.aliases:
COMMANDS[f"/{_alias}"] = f"{_cmd.description} (alias for /{_cmd.name})"
# Backwards-compatible categorized dict
COMMANDS_BY_CATEGORY: dict[str, dict[str, str]] = {}
for _cmd in COMMAND_REGISTRY:
if not _cmd.gateway_only:
_cat = COMMANDS_BY_CATEGORY.setdefault(_cmd.category, {})
_cat[f"/{_cmd.name}"] = COMMANDS[f"/{_cmd.name}"]
for _alias in _cmd.aliases:
_cat[f"/{_alias}"] = COMMANDS[f"/{_alias}"]
# Subcommands lookup: "/cmd" -> ["sub1", "sub2", ...]
SUBCOMMANDS: dict[str, list[str]] = {}
for _cmd in COMMAND_REGISTRY:
if _cmd.subcommands:
SUBCOMMANDS[f"/{_cmd.name}"] = list(_cmd.subcommands)
# Also extract subcommands hinted in args_hint via pipe-separated patterns
# e.g. args_hint="[on|off|tts|status]" for commands that don't have explicit subcommands.
# NOTE: If a command already has explicit subcommands, this fallback is skipped.
# Use the `subcommands` field on CommandDef for intentional tab-completable args.
_PIPE_SUBS_RE = re.compile(r"[a-z]+(?:\|[a-z]+)+")
for _cmd in COMMAND_REGISTRY:
key = f"/{_cmd.name}"
if key in SUBCOMMANDS or not _cmd.args_hint:
continue
m = _PIPE_SUBS_RE.search(_cmd.args_hint)
if m:
SUBCOMMANDS[key] = m.group(0).split("|")
# ---------------------------------------------------------------------------
# Gateway helpers
# ---------------------------------------------------------------------------
# Set of all command names + aliases recognized by the gateway.
# Includes config-gated commands so the gateway can dispatch them
# (the handler checks the config gate at runtime).
GATEWAY_KNOWN_COMMANDS: frozenset[str] = frozenset(
name
for cmd in COMMAND_REGISTRY
if not cmd.cli_only or cmd.gateway_config_gate
for name in (cmd.name, *cmd.aliases)
)
def _resolve_config_gates() -> set[str]:
"""Return canonical names of commands whose ``gateway_config_gate`` is truthy.
Reads ``config.yaml`` and walks the dot-separated key path for each
config-gated command. Returns an empty set on any error so callers
degrade gracefully.
"""
gated = [c for c in COMMAND_REGISTRY if c.gateway_config_gate]
if not gated:
return set()
try:
import yaml
config_path = os.path.join(
os.getenv("HERMES_HOME", os.path.expanduser("~/.hermes")),
"config.yaml",
)
if os.path.exists(config_path):
with open(config_path, encoding="utf-8") as f:
cfg = yaml.safe_load(f) or {}
else:
cfg = {}
except Exception:
return set()
result: set[str] = set()
for cmd in gated:
val: Any = cfg
for key in cmd.gateway_config_gate.split("."):
if isinstance(val, dict):
val = val.get(key)
else:
val = None
break
if val:
result.add(cmd.name)
return result
def _is_gateway_available(cmd: CommandDef, config_overrides: set[str] | None = None) -> bool:
"""Check if *cmd* should appear in gateway surfaces (help, menus, mappings).
Unconditionally available when ``cli_only`` is False. When ``cli_only``
is True but ``gateway_config_gate`` is set, the command is available only
when the config value is truthy. Pass *config_overrides* (from
``_resolve_config_gates()``) to avoid re-reading config for every command.
"""
if not cmd.cli_only:
return True
if cmd.gateway_config_gate:
overrides = config_overrides if config_overrides is not None else _resolve_config_gates()
return cmd.name in overrides
return False
def gateway_help_lines() -> list[str]:
"""Generate gateway help text lines from the registry."""
overrides = _resolve_config_gates()
lines: list[str] = []
for cmd in COMMAND_REGISTRY:
if not _is_gateway_available(cmd, overrides):
continue
args = f" {cmd.args_hint}" if cmd.args_hint else ""
alias_parts: list[str] = []
for a in cmd.aliases:
# Skip internal aliases like reload_mcp (underscore variant)
if a.replace("-", "_") == cmd.name.replace("-", "_") and a != cmd.name:
continue
alias_parts.append(f"`/{a}`")
alias_note = f" (alias: {', '.join(alias_parts)})" if alias_parts else ""
lines.append(f"`/{cmd.name}{args}` -- {cmd.description}{alias_note}")
return lines
def telegram_bot_commands() -> list[tuple[str, str]]:
"""Return (command_name, description) pairs for Telegram setMyCommands.
Telegram command names cannot contain hyphens, so they are replaced with
underscores. Aliases are skipped -- Telegram shows one menu entry per
canonical command.
"""
overrides = _resolve_config_gates()
result: list[tuple[str, str]] = []
for cmd in COMMAND_REGISTRY:
if not _is_gateway_available(cmd, overrides):
continue
tg_name = cmd.name.replace("-", "_")
result.append((tg_name, cmd.description))
return result
def slack_subcommand_map() -> dict[str, str]:
"""Return subcommand -> /command mapping for Slack /hermes handler.
Maps both canonical names and aliases so /hermes bg do stuff works
the same as /hermes background do stuff.
"""
overrides = _resolve_config_gates()
mapping: dict[str, str] = {}
for cmd in COMMAND_REGISTRY:
if not _is_gateway_available(cmd, overrides):
continue
mapping[cmd.name] = f"/{cmd.name}"
for alias in cmd.aliases:
mapping[alias] = f"/{alias}"
return mapping
# ---------------------------------------------------------------------------
# Autocomplete
# ---------------------------------------------------------------------------
class SlashCommandCompleter(Completer):
"""Autocomplete for built-in slash commands, subcommands, and skill commands."""
"""Autocomplete for built-in slash commands and optional skill commands."""
def __init__(
self,
@@ -410,233 +92,9 @@ class SlashCommandCompleter(Completer):
"""
return f"{cmd_name} " if cmd_name == word else cmd_name
@staticmethod
def _extract_path_word(text: str) -> str | None:
"""Extract the current word if it looks like a file path.
Returns the path-like token under the cursor, or None if the
current word doesn't look like a path. A word is path-like when
it starts with ``./``, ``../``, ``~/``, ``/``, or contains a
``/`` separator (e.g. ``src/main.py``).
"""
if not text:
return None
# Walk backwards to find the start of the current "word".
# Words are delimited by spaces, but paths can contain almost anything.
i = len(text) - 1
while i >= 0 and text[i] != " ":
i -= 1
word = text[i + 1:]
if not word:
return None
# Only trigger path completion for path-like tokens
if word.startswith(("./", "../", "~/", "/")) or "/" in word:
return word
return None
@staticmethod
def _path_completions(word: str, limit: int = 30):
"""Yield Completion objects for file paths matching *word*."""
expanded = os.path.expanduser(word)
# Split into directory part and prefix to match inside it
if expanded.endswith("/"):
search_dir = expanded
prefix = ""
else:
search_dir = os.path.dirname(expanded) or "."
prefix = os.path.basename(expanded)
try:
entries = os.listdir(search_dir)
except OSError:
return
count = 0
prefix_lower = prefix.lower()
for entry in sorted(entries):
if prefix and not entry.lower().startswith(prefix_lower):
continue
if count >= limit:
break
full_path = os.path.join(search_dir, entry)
is_dir = os.path.isdir(full_path)
# Build the completion text (what replaces the typed word)
if word.startswith("~"):
display_path = "~/" + os.path.relpath(full_path, os.path.expanduser("~"))
elif os.path.isabs(word):
display_path = full_path
else:
# Keep relative
display_path = os.path.relpath(full_path)
if is_dir:
display_path += "/"
suffix = "/" if is_dir else ""
meta = "dir" if is_dir else _file_size_label(full_path)
yield Completion(
display_path,
start_position=-len(word),
display=entry + suffix,
display_meta=meta,
)
count += 1
@staticmethod
def _extract_context_word(text: str) -> str | None:
"""Extract a bare ``@`` token for context reference completions."""
if not text:
return None
# Walk backwards to find the start of the current word
i = len(text) - 1
while i >= 0 and text[i] != " ":
i -= 1
word = text[i + 1:]
if not word.startswith("@"):
return None
return word
@staticmethod
def _context_completions(word: str, limit: int = 30):
"""Yield Claude Code-style @ context completions.
Bare ``@`` or ``@partial`` shows static references and matching
files/folders. ``@file:path`` and ``@folder:path`` are handled
by the existing path completion path.
"""
lowered = word.lower()
# Static context references
_STATIC_REFS = (
("@diff", "Git working tree diff"),
("@staged", "Git staged diff"),
("@file:", "Attach a file"),
("@folder:", "Attach a folder"),
("@git:", "Git log with diffs (e.g. @git:5)"),
("@url:", "Fetch web content"),
)
for candidate, meta in _STATIC_REFS:
if candidate.lower().startswith(lowered) and candidate.lower() != lowered:
yield Completion(
candidate,
start_position=-len(word),
display=candidate,
display_meta=meta,
)
# If the user typed @file: or @folder:, delegate to path completions
for prefix in ("@file:", "@folder:"):
if word.startswith(prefix):
path_part = word[len(prefix):] or "."
expanded = os.path.expanduser(path_part)
if expanded.endswith("/"):
search_dir, match_prefix = expanded, ""
else:
search_dir = os.path.dirname(expanded) or "."
match_prefix = os.path.basename(expanded)
try:
entries = os.listdir(search_dir)
except OSError:
return
count = 0
prefix_lower = match_prefix.lower()
for entry in sorted(entries):
if match_prefix and not entry.lower().startswith(prefix_lower):
continue
if count >= limit:
break
full_path = os.path.join(search_dir, entry)
is_dir = os.path.isdir(full_path)
display_path = os.path.relpath(full_path)
suffix = "/" if is_dir else ""
kind = "folder" if is_dir else "file"
meta = "dir" if is_dir else _file_size_label(full_path)
completion = f"@{kind}:{display_path}{suffix}"
yield Completion(
completion,
start_position=-len(word),
display=entry + suffix,
display_meta=meta,
)
count += 1
return
# Bare @ or @partial — show matching files/folders from cwd
query = word[1:] # strip the @
if not query:
search_dir, match_prefix = ".", ""
else:
expanded = os.path.expanduser(query)
if expanded.endswith("/"):
search_dir, match_prefix = expanded, ""
else:
search_dir = os.path.dirname(expanded) or "."
match_prefix = os.path.basename(expanded)
try:
entries = os.listdir(search_dir)
except OSError:
return
count = 0
prefix_lower = match_prefix.lower()
for entry in sorted(entries):
if match_prefix and not entry.lower().startswith(prefix_lower):
continue
if entry.startswith("."):
continue # skip hidden files in bare @ mode
if count >= limit:
break
full_path = os.path.join(search_dir, entry)
is_dir = os.path.isdir(full_path)
display_path = os.path.relpath(full_path)
suffix = "/" if is_dir else ""
kind = "folder" if is_dir else "file"
meta = "dir" if is_dir else _file_size_label(full_path)
completion = f"@{kind}:{display_path}{suffix}"
yield Completion(
completion,
start_position=-len(word),
display=entry + suffix,
display_meta=meta,
)
count += 1
def get_completions(self, document, complete_event):
text = document.text_before_cursor
if not text.startswith("/"):
# Try @ context completion (Claude Code-style)
ctx_word = self._extract_context_word(text)
if ctx_word is not None:
yield from self._context_completions(ctx_word)
return
# Try file path completion for non-slash input
path_word = self._extract_path_word(text)
if path_word is not None:
yield from self._path_completions(path_word)
return
# Check if we're completing a subcommand (base command already typed)
parts = text.split(maxsplit=1)
base_cmd = parts[0].lower()
if len(parts) > 1 or (len(parts) == 1 and text.endswith(" ")):
sub_text = parts[1] if len(parts) > 1 else ""
sub_lower = sub_text.lower()
# Static subcommand completions
if " " not in sub_text and base_cmd in SUBCOMMANDS:
for sub in SUBCOMMANDS[base_cmd]:
if sub.startswith(sub_lower) and sub != sub_lower:
yield Completion(
sub,
start_position=-len(sub_text),
display=sub,
)
return
word = text[1:]
@@ -662,76 +120,3 @@ class SlashCommandCompleter(Completer):
display=cmd,
display_meta=f"{short_desc}",
)
# ---------------------------------------------------------------------------
# Inline auto-suggest (ghost text) for slash commands
# ---------------------------------------------------------------------------
class SlashCommandAutoSuggest(AutoSuggest):
"""Inline ghost-text suggestions for slash commands and their subcommands.
Shows the rest of a command or subcommand in dim text as you type.
Falls back to history-based suggestions for non-slash input.
"""
def __init__(
self,
history_suggest: AutoSuggest | None = None,
completer: SlashCommandCompleter | None = None,
) -> None:
self._history = history_suggest
self._completer = completer # Reuse its model cache
def get_suggestion(self, buffer, document):
text = document.text_before_cursor
# Only suggest for slash commands
if not text.startswith("/"):
# Fall back to history for regular text
if self._history:
return self._history.get_suggestion(buffer, document)
return None
parts = text.split(maxsplit=1)
base_cmd = parts[0].lower()
if len(parts) == 1 and not text.endswith(" "):
# Still typing the command name: /upd → suggest "ate"
word = text[1:].lower()
for cmd in COMMANDS:
cmd_name = cmd[1:] # strip leading /
if cmd_name.startswith(word) and cmd_name != word:
return Suggestion(cmd_name[len(word):])
return None
# Command is complete — suggest subcommands or model names
sub_text = parts[1] if len(parts) > 1 else ""
sub_lower = sub_text.lower()
# Static subcommands
if base_cmd in SUBCOMMANDS and SUBCOMMANDS[base_cmd]:
if " " not in sub_text:
for sub in SUBCOMMANDS[base_cmd]:
if sub.startswith(sub_lower) and sub != sub_lower:
return Suggestion(sub[len(sub_text):])
# Fall back to history
if self._history:
return self._history.get_suggestion(buffer, document)
return None
def _file_size_label(path: str) -> str:
"""Return a compact human-readable file size, or '' on error."""
try:
size = os.path.getsize(path)
except OSError:
return ""
if size < 1024:
return f"{size}B"
if size < 1024 * 1024:
return f"{size / 1024:.0f}K"
if size < 1024 * 1024 * 1024:
return f"{size / (1024 * 1024):.1f}M"
return f"{size / (1024 * 1024 * 1024):.1f}G"

View File

@@ -16,6 +16,7 @@ import os
import platform
import re
import stat
import sys
import subprocess
import sys
import tempfile
@@ -24,23 +25,6 @@ from typing import Dict, Any, Optional, List, Tuple
_IS_WINDOWS = platform.system() == "Windows"
_ENV_VAR_NAME_RE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
# Env var names written to .env that aren't in OPTIONAL_ENV_VARS
# (managed by setup/provider flows directly).
_EXTRA_ENV_KEYS = frozenset({
"OPENAI_API_KEY", "OPENAI_BASE_URL",
"ANTHROPIC_API_KEY", "ANTHROPIC_TOKEN",
"AUXILIARY_VISION_MODEL",
"DISCORD_HOME_CHANNEL", "TELEGRAM_HOME_CHANNEL",
"SIGNAL_ACCOUNT", "SIGNAL_HTTP_URL",
"SIGNAL_ALLOWED_USERS", "SIGNAL_GROUP_ALLOWED_USERS",
"DINGTALK_CLIENT_ID", "DINGTALK_CLIENT_SECRET",
"FEISHU_APP_ID", "FEISHU_APP_SECRET", "FEISHU_ENCRYPT_KEY", "FEISHU_VERIFICATION_TOKEN",
"WECOM_BOT_ID", "WECOM_SECRET",
"TERMINAL_ENV", "TERMINAL_SSH_KEY", "TERMINAL_SSH_PORT",
"WHATSAPP_MODE", "WHATSAPP_ENABLED",
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_REPLY_MODE",
"MATRIX_PASSWORD", "MATRIX_ENCRYPTION", "MATRIX_HOME_ROOM",
})
import yaml
@@ -48,38 +32,13 @@ from hermes_cli.colors import Colors, color
from hermes_cli.default_soul import DEFAULT_SOUL_MD
# =============================================================================
# Managed mode (NixOS declarative config)
# =============================================================================
def is_managed() -> bool:
"""Check if hermes is running in Nix-managed mode.
Two signals: the HERMES_MANAGED env var (set by the systemd service),
or a .managed marker file in HERMES_HOME (set by the NixOS activation
script, so interactive shells also see it).
"""
if os.getenv("HERMES_MANAGED", "").lower() in ("true", "1", "yes"):
return True
managed_marker = get_hermes_home() / ".managed"
return managed_marker.exists()
def managed_error(action: str = "modify configuration"):
"""Print user-friendly error for managed mode."""
print(
f"Cannot {action}: configuration is managed by NixOS (HERMES_MANAGED=true).\n"
"Edit services.hermes-agent.settings in your configuration.nix and run:\n"
" sudo nixos-rebuild switch",
file=sys.stderr,
)
# =============================================================================
# Config paths
# =============================================================================
# Re-export from hermes_constants — canonical definition lives there.
from hermes_constants import get_hermes_home # noqa: F811,E402
def get_hermes_home() -> Path:
"""Get the Hermes home directory (~/.hermes)."""
return Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
def get_config_path() -> Path:
"""Get the main config file path."""
@@ -137,26 +96,15 @@ def ensure_hermes_home():
DEFAULT_CONFIG = {
"model": "anthropic/claude-opus-4.6",
"fallback_providers": [],
"toolsets": ["hermes-cli"],
"agent": {
"max_turns": 90,
# Tool-use enforcement: injects system prompt guidance that tells the
# model to actually call tools instead of describing intended actions.
# Values: "auto" (default — applies to gpt/codex models), true/false
# (force on/off for all models), or a list of model-name substrings
# to match (e.g. ["gpt", "codex", "gemini", "qwen"]).
"tool_use_enforcement": "auto",
},
"terminal": {
"backend": "local",
"cwd": ".", # Use current directory
"timeout": 180,
# Environment variables to pass through to sandboxed execution
# (terminal and execute_code). Skill-declared required_environment_variables
# are passed through automatically; this list is for non-skill use cases.
"env_passthrough": [],
"docker_image": "nikolaik/python-nodejs:python3.11-nodejs20",
"docker_forward_env": [],
"singularity_image": "docker://nikolaik/python-nodejs:python3.11-nodejs20",
@@ -171,19 +119,10 @@ DEFAULT_CONFIG = {
# Each entry is "host_path:container_path" (standard Docker -v syntax).
# Example: ["/home/user/projects:/workspace/projects", "/data:/data"]
"docker_volumes": [],
# Explicit opt-in: mount the host cwd into /workspace for Docker sessions.
# Default off because passing host directories into a sandbox weakens isolation.
"docker_mount_cwd_to_workspace": False,
# Persistent shell — keep a long-lived bash shell across execute() calls
# so cwd/env vars/shell variables survive between commands.
# Enabled by default for non-local backends (SSH); local is always opt-in
# via TERMINAL_LOCAL_PERSISTENT env var.
"persistent_shell": True,
},
"browser": {
"inactivity_timeout": 120,
"command_timeout": 30, # Timeout for browser commands in seconds (screenshot, navigate, etc.)
"record_sessions": False, # Auto-record browser sessions as WebM videos
},
@@ -191,24 +130,15 @@ DEFAULT_CONFIG = {
# When enabled, the agent takes a snapshot of the working directory once per
# conversation turn (on first write_file/patch call). Use /rollback to restore.
"checkpoints": {
"enabled": True,
"enabled": False,
"max_snapshots": 50, # Max checkpoints to keep per directory
},
"compression": {
"enabled": True,
"threshold": 0.50, # compress when context usage exceeds this ratio
"target_ratio": 0.20, # fraction of threshold to preserve as recent tail
"protect_last_n": 20, # minimum recent messages to keep uncompressed
"summary_model": "", # empty = use main configured model
"threshold": 0.50,
"summary_model": "google/gemini-3-flash-preview",
"summary_provider": "auto",
"summary_base_url": None,
},
"smart_model_routing": {
"enabled": False,
"max_simple_chars": 160,
"max_simple_words": 28,
"cheap_model": {},
},
# Auxiliary model config — provider:model for each side task.
@@ -223,57 +153,42 @@ DEFAULT_CONFIG = {
"model": "", # e.g. "google/gemini-2.5-flash", "gpt-4o"
"base_url": "", # direct OpenAI-compatible endpoint (takes precedence over provider)
"api_key": "", # API key for base_url (falls back to OPENAI_API_KEY)
"timeout": 30, # seconds — LLM API call timeout; increase for slow local vision models
"download_timeout": 30, # seconds — image HTTP download timeout; increase for slow connections
},
"web_extract": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30, # seconds — increase for slow local models
},
"compression": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 120, # seconds — compression summarises large contexts; increase for local models
},
"session_search": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30,
},
"skills_hub": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30,
},
"approval": {
"provider": "auto",
"model": "", # fast/cheap model recommended (e.g. gemini-flash, haiku)
"base_url": "",
"api_key": "",
"timeout": 30,
},
"mcp": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30,
},
"flush_memories": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30,
},
},
@@ -281,24 +196,14 @@ DEFAULT_CONFIG = {
"compact": False,
"personality": "kawaii",
"resume_display": "full",
"busy_input_mode": "interrupt",
"bell_on_complete": False,
"show_reasoning": False,
"streaming": False,
"show_cost": False, # Show $ cost in the status bar (off by default)
"skin": "default",
"tool_progress_command": False, # Enable /verbose command in messaging gateway
"tool_preview_length": 0, # Max chars for tool call previews (0 = no limit, show full paths/commands)
},
# Privacy settings
"privacy": {
"redact_pii": False, # When True, hash user IDs and strip phone numbers from LLM context
},
# Text-to-speech configuration
"tts": {
"provider": "edge", # "edge" (free) | "elevenlabs" (premium) | "openai" | "neutts" (local)
"provider": "edge", # "edge" (free) | "elevenlabs" (premium) | "openai"
"edge": {
"voice": "en-US-AriaNeural",
# Popular: AriaNeural, JennyNeural, AndrewNeural, BrianNeural, SoniaNeural
@@ -312,12 +217,6 @@ DEFAULT_CONFIG = {
"voice": "alloy",
# Voices: alloy, echo, fable, onyx, nova, shimmer
},
"neutts": {
"ref_audio": "", # Path to reference voice audio (empty = bundled default)
"ref_text": "", # Path to reference voice transcript (empty = bundled default)
"model": "neuphonic/neutts-air-q4-gguf", # HuggingFace model repo
"device": "cpu", # cpu, cuda, or mps
},
},
"stt": {
@@ -362,8 +261,6 @@ DEFAULT_CONFIG = {
"provider": "", # e.g. "openrouter" (empty = inherit parent provider + credentials)
"base_url": "", # direct OpenAI-compatible endpoint for subagents
"api_key": "", # API key for delegation.base_url (falls back to OPENAI_API_KEY)
"max_iterations": 50, # per-subagent iteration cap (each subagent gets its own budget,
# independent of the parent's max_iterations)
},
# Ephemeral prefill messages file — JSON list of {role, content} dicts
@@ -371,13 +268,6 @@ DEFAULT_CONFIG = {
# Never saved to sessions, logs, or trajectories.
"prefill_messages_file": "",
# Skills — external skill directories for sharing skills across tools/agents.
# Each path is expanded (~, ${VAR}) and resolved. Read-only — skill creation
# always goes to ~/.hermes/skills/.
"skills": {
"external_dirs": [], # e.g. ["~/.agents/skills", "/shared/team-skills"]
},
# Honcho AI-native memory -- reads ~/.honcho/config.json as single source of truth.
# This section is only needed for hermes-specific overrides; everything else
# (apiKey, workspace, peerName, sessions, enabled) comes from the global config.
@@ -394,23 +284,6 @@ DEFAULT_CONFIG = {
"auto_thread": True, # Auto-create threads on @mention in channels (like Slack)
},
# WhatsApp platform settings (gateway mode)
"whatsapp": {
# Reply prefix prepended to every outgoing WhatsApp message.
# Default (None) uses the built-in "⚕ *Hermes Agent*" header.
# Set to "" (empty string) to disable the header entirely.
# Supports \n for newlines, e.g. "🤖 *My Bot*\n──────\n"
},
# Approval mode for dangerous commands:
# manual — always prompt the user (default)
# smart — use auxiliary LLM to auto-approve low-risk commands, prompt for high-risk
# off — skip all approval prompts (equivalent to --yolo)
"approvals": {
"mode": "manual",
"timeout": 60,
},
# Permanently allowed dangerous command patterns (added via "always" approval)
"command_allowlist": [],
# User-defined quick commands that bypass the agent loop (type: exec only)
@@ -427,21 +300,10 @@ DEFAULT_CONFIG = {
"tirith_path": "tirith",
"tirith_timeout": 5,
"tirith_fail_open": True,
"website_blocklist": {
"enabled": False,
"domains": [],
"shared_files": [],
},
},
"cron": {
# Wrap delivered cron responses with a header (task name) and footer
# ("The agent cannot see this message"). Set to false for clean output.
"wrap_response": True,
},
# Config schema version - bump this when adding new required fields
"_config_version": 10,
"_config_version": 9,
}
# =============================================================================
@@ -455,7 +317,6 @@ ENV_VARS_BY_VERSION: Dict[int, List[str]] = {
4: ["VOICE_TOOLS_OPENAI_KEY", "ELEVENLABS_API_KEY"],
5: ["WHATSAPP_ENABLED", "WHATSAPP_MODE", "WHATSAPP_ALLOWED_USERS",
"SLACK_BOT_TOKEN", "SLACK_APP_TOKEN", "SLACK_ALLOWED_USERS"],
10: ["TAVILY_API_KEY"],
}
# Required environment variables with metadata for migration prompts.
@@ -564,100 +425,8 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"DEEPSEEK_API_KEY": {
"description": "DeepSeek API key for direct DeepSeek access",
"prompt": "DeepSeek API Key",
"url": "https://platform.deepseek.com/api_keys",
"password": True,
"category": "provider",
},
"DEEPSEEK_BASE_URL": {
"description": "Custom DeepSeek API base URL (advanced)",
"prompt": "DeepSeek Base URL",
"url": "",
"password": False,
"category": "provider",
},
"DASHSCOPE_API_KEY": {
"description": "Alibaba Cloud DashScope API key (Qwen + multi-provider models)",
"prompt": "DashScope API Key",
"url": "https://modelstudio.console.alibabacloud.com/",
"password": True,
"category": "provider",
},
"DASHSCOPE_BASE_URL": {
"description": "Custom DashScope base URL (default: coding-intl OpenAI-compat endpoint)",
"prompt": "DashScope Base URL",
"url": "",
"password": False,
"category": "provider",
"advanced": True,
},
"OPENCODE_ZEN_API_KEY": {
"description": "OpenCode Zen API key (pay-as-you-go access to curated models)",
"prompt": "OpenCode Zen API key",
"url": "https://opencode.ai/auth",
"password": True,
"category": "provider",
"advanced": True,
},
"OPENCODE_ZEN_BASE_URL": {
"description": "OpenCode Zen base URL override",
"prompt": "OpenCode Zen base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"OPENCODE_GO_API_KEY": {
"description": "OpenCode Go API key ($10/month subscription for open models)",
"prompt": "OpenCode Go API key",
"url": "https://opencode.ai/auth",
"password": True,
"category": "provider",
"advanced": True,
},
"OPENCODE_GO_BASE_URL": {
"description": "OpenCode Go base URL override",
"prompt": "OpenCode Go base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"HF_TOKEN": {
"description": "Hugging Face token for Inference Providers (20+ open models via router.huggingface.co)",
"prompt": "Hugging Face Token",
"url": "https://huggingface.co/settings/tokens",
"password": True,
"category": "provider",
},
"HF_BASE_URL": {
"description": "Hugging Face Inference Providers base URL override",
"prompt": "HF base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
# ── Tool API keys ──
"EXA_API_KEY": {
"description": "Exa API key for AI-native web search and contents",
"prompt": "Exa API key",
"url": "https://exa.ai/",
"tools": ["web_search", "web_extract"],
"password": True,
"category": "tool",
},
"PARALLEL_API_KEY": {
"description": "Parallel API key for AI-native web search and extract",
"prompt": "Parallel API key",
"url": "https://parallel.ai/",
"tools": ["web_search", "web_extract"],
"password": True,
"category": "tool",
},
"FIRECRAWL_API_KEY": {
"description": "Firecrawl API key for web search and scraping",
"prompt": "Firecrawl API key",
@@ -674,14 +443,6 @@ OPTIONAL_ENV_VARS = {
"category": "tool",
"advanced": True,
},
"TAVILY_API_KEY": {
"description": "Tavily API key for AI-native web search, extract, and crawl",
"prompt": "Tavily API key",
"url": "https://app.tavily.com/home",
"tools": ["web_search", "web_extract", "web_crawl"],
"password": True,
"category": "tool",
},
"BROWSERBASE_API_KEY": {
"description": "Browserbase API key for cloud browser (optional — local browser works without this)",
"prompt": "Browserbase API key",
@@ -698,14 +459,6 @@ OPTIONAL_ENV_VARS = {
"password": False,
"category": "tool",
},
"BROWSER_USE_API_KEY": {
"description": "Browser Use API key for cloud browser (optional — local browser works without this)",
"prompt": "Browser Use API key",
"url": "https://browser-use.com/",
"tools": ["browser_navigate", "browser_click"],
"password": True,
"category": "tool",
},
"FAL_KEY": {
"description": "FAL API key for image generation",
"prompt": "FAL API key",
@@ -762,11 +515,6 @@ OPTIONAL_ENV_VARS = {
"password": True,
"category": "tool",
},
"HONCHO_BASE_URL": {
"description": "Base URL for self-hosted Honcho instances (no API key needed)",
"prompt": "Honcho base URL (e.g. http://localhost:8000)",
"category": "tool",
},
# ── Messaging platforms ──
"TELEGRAM_BOT_TOKEN": {
@@ -815,69 +563,6 @@ OPTIONAL_ENV_VARS = {
"password": True,
"category": "messaging",
},
"MATTERMOST_URL": {
"description": "Mattermost server URL (e.g. https://mm.example.com)",
"prompt": "Mattermost server URL",
"url": "https://mattermost.com/deploy/",
"password": False,
"category": "messaging",
},
"MATTERMOST_TOKEN": {
"description": "Mattermost bot token or personal access token",
"prompt": "Mattermost bot token",
"url": None,
"password": True,
"category": "messaging",
},
"MATTERMOST_ALLOWED_USERS": {
"description": "Comma-separated Mattermost user IDs allowed to use the bot",
"prompt": "Allowed Mattermost user IDs (comma-separated)",
"url": None,
"password": False,
"category": "messaging",
},
"MATTERMOST_REQUIRE_MENTION": {
"description": "Require @mention in Mattermost channels (default: true). Set to false to respond to all messages.",
"prompt": "Require @mention in channels",
"url": None,
"password": False,
"category": "messaging",
},
"MATTERMOST_FREE_RESPONSE_CHANNELS": {
"description": "Comma-separated Mattermost channel IDs where bot responds without @mention",
"prompt": "Free-response channel IDs (comma-separated)",
"url": None,
"password": False,
"category": "messaging",
},
"MATRIX_HOMESERVER": {
"description": "Matrix homeserver URL (e.g. https://matrix.example.org)",
"prompt": "Matrix homeserver URL",
"url": "https://matrix.org/ecosystem/servers/",
"password": False,
"category": "messaging",
},
"MATRIX_ACCESS_TOKEN": {
"description": "Matrix access token (preferred over password login)",
"prompt": "Matrix access token",
"url": None,
"password": True,
"category": "messaging",
},
"MATRIX_USER_ID": {
"description": "Matrix user ID (e.g. @hermes:example.org)",
"prompt": "Matrix user ID (@user:server)",
"url": None,
"password": False,
"category": "messaging",
},
"MATRIX_ALLOWED_USERS": {
"description": "Comma-separated Matrix user IDs allowed to use the bot (@user:server format)",
"prompt": "Allowed Matrix user IDs (comma-separated)",
"url": None,
"password": False,
"category": "messaging",
},
"GATEWAY_ALLOW_ALL_USERS": {
"description": "Allow all users to interact with messaging bots (true/false). Default: false.",
"prompt": "Allow all users (true/false)",
@@ -886,59 +571,6 @@ OPTIONAL_ENV_VARS = {
"category": "messaging",
"advanced": True,
},
"API_SERVER_ENABLED": {
"description": "Enable the OpenAI-compatible API server (true/false). Allows frontends like Open WebUI, LobeChat, etc. to connect.",
"prompt": "Enable API server (true/false)",
"url": None,
"password": False,
"category": "messaging",
"advanced": True,
},
"API_SERVER_KEY": {
"description": "Bearer token for API server authentication. If empty, all requests are allowed (local use only).",
"prompt": "API server auth key (optional)",
"url": None,
"password": True,
"category": "messaging",
"advanced": True,
},
"API_SERVER_PORT": {
"description": "Port for the API server (default: 8642).",
"prompt": "API server port",
"url": None,
"password": False,
"category": "messaging",
"advanced": True,
},
"API_SERVER_HOST": {
"description": "Host/bind address for the API server (default: 127.0.0.1). Use 0.0.0.0 for network access — requires API_SERVER_KEY for security.",
"prompt": "API server host",
"url": None,
"password": False,
"category": "messaging",
"advanced": True,
},
"WEBHOOK_ENABLED": {
"description": "Enable the webhook platform adapter for receiving events from GitHub, GitLab, etc.",
"prompt": "Enable webhooks (true/false)",
"url": None,
"password": False,
"category": "messaging",
},
"WEBHOOK_PORT": {
"description": "Port for the webhook HTTP server (default: 8644).",
"prompt": "Webhook port",
"url": None,
"password": False,
"category": "messaging",
},
"WEBHOOK_SECRET": {
"description": "Global HMAC secret for webhook signature validation (overridable per route in config.yaml).",
"prompt": "Webhook secret",
"url": None,
"password": True,
"category": "messaging",
},
# ── Agent settings ──
"MESSAGING_CWD": {
@@ -1085,15 +717,7 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
Dict with migration results: {"env_added": [...], "config_added": [...], "warnings": [...]}
"""
results = {"env_added": [], "config_added": [], "warnings": []}
# ── Always: sanitize .env (split concatenated keys) ──
try:
fixes = sanitize_env_file()
if fixes and not quiet:
print(f" ✓ Repaired .env file ({fixes} corrupted entries fixed)")
except Exception:
pass # best-effort; don't block migration on sanitize failure
# Check config version
current_ver, latest_ver = check_config_version()
@@ -1136,18 +760,6 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
tz_display = config["timezone"] or "(server-local)"
print(f" ✓ Added timezone to config.yaml: {tz_display}")
# ── Version 8 → 9: clear ANTHROPIC_TOKEN from .env ──
# The new Anthropic auth flow no longer uses this env var.
if current_ver < 9:
try:
old_token = get_env_value("ANTHROPIC_TOKEN")
if old_token:
save_env_value("ANTHROPIC_TOKEN", "")
if not quiet:
print(" ✓ Cleared ANTHROPIC_TOKEN from .env (no longer used)")
except Exception:
pass
if current_ver < latest_ver and not quiet:
print(f"Config version: {current_ver}{latest_ver}")
@@ -1277,26 +889,6 @@ def _deep_merge(base: dict, override: dict) -> dict:
return result
def _expand_env_vars(obj):
"""Recursively expand ``${VAR}`` references in config values.
Only string values are processed; dict keys, numbers, booleans, and
None are left untouched. Unresolved references (variable not in
``os.environ``) are kept verbatim so callers can detect them.
"""
if isinstance(obj, str):
return re.sub(
r"\${([^}]+)}",
lambda m: os.environ.get(m.group(1), m.group(0)),
obj,
)
if isinstance(obj, dict):
return {k: _expand_env_vars(v) for k, v in obj.items()}
if isinstance(obj, list):
return [_expand_env_vars(item) for item in obj]
return obj
def _normalize_max_turns_config(config: Dict[str, Any]) -> Dict[str, Any]:
"""Normalize legacy root-level max_turns into agent.max_turns."""
config = dict(config)
@@ -1338,7 +930,7 @@ def load_config() -> Dict[str, Any]:
except Exception as e:
print(f"Warning: Failed to load config: {e}")
return _expand_env_vars(_normalize_max_turns_config(config))
return _normalize_max_turns_config(config)
_SECURITY_COMMENT = """
@@ -1377,19 +969,6 @@ _FALLBACK_COMMENT = """
# fallback_model:
# provider: openrouter
# model: anthropic/claude-sonnet-4
#
# ── Smart Model Routing ────────────────────────────────────────────────
# Optional cheap-vs-strong routing for simple turns.
# Keeps the primary model for complex work, but can route short/simple
# messages to a cheaper model across providers.
#
# smart_model_routing:
# enabled: true
# max_simple_chars: 160
# max_simple_words: 28
# cheap_model:
# provider: openrouter
# model: google/gemini-2.5-flash
"""
@@ -1420,27 +999,11 @@ _COMMENTED_SECTIONS = """
# fallback_model:
# provider: openrouter
# model: anthropic/claude-sonnet-4
#
# ── Smart Model Routing ────────────────────────────────────────────────
# Optional cheap-vs-strong routing for simple turns.
# Keeps the primary model for complex work, but can route short/simple
# messages to a cheaper model across providers.
#
# smart_model_routing:
# enabled: true
# max_simple_chars: 160
# max_simple_words: 28
# cheap_model:
# provider: openrouter
# model: google/gemini-2.5-flash
"""
def save_config(config: Dict[str, Any]):
"""Save configuration to ~/.hermes/config.yaml."""
if is_managed():
managed_error("save configuration")
return
from utils import atomic_yaml_write
ensure_hermes_home()
@@ -1484,107 +1047,8 @@ def load_env() -> Dict[str, str]:
return env_vars
def _sanitize_env_lines(lines: list) -> list:
"""Fix corrupted .env lines before writing.
Handles two known corruption patterns:
1. Concatenated KEY=VALUE pairs on a single line (missing newline between
entries, e.g. ``ANTHROPIC_API_KEY=sk-...OPENAI_BASE_URL=https://...``).
2. Stale ``KEY=***`` placeholder entries left by incomplete setup runs.
Uses a known-keys set (OPTIONAL_ENV_VARS + _EXTRA_ENV_KEYS) so we only
split on real Hermes env var names, avoiding false positives from values
that happen to contain uppercase text with ``=``.
"""
# Build the known keys set lazily from OPTIONAL_ENV_VARS + extras.
# Done inside the function so OPTIONAL_ENV_VARS is guaranteed to be defined.
known_keys = set(OPTIONAL_ENV_VARS.keys()) | _EXTRA_ENV_KEYS
sanitized: list[str] = []
for line in lines:
raw = line.rstrip("\r\n")
stripped = raw.strip()
# Preserve blank lines and comments
if not stripped or stripped.startswith("#"):
sanitized.append(raw + "\n")
continue
# Detect concatenated KEY=VALUE pairs on one line.
# Search for known KEY= patterns at any position in the line.
split_positions = []
for key_name in known_keys:
needle = key_name + "="
idx = stripped.find(needle)
while idx >= 0:
split_positions.append(idx)
idx = stripped.find(needle, idx + len(needle))
if len(split_positions) > 1:
split_positions.sort()
# Deduplicate (shouldn't happen, but be safe)
split_positions = sorted(set(split_positions))
for i, pos in enumerate(split_positions):
end = split_positions[i + 1] if i + 1 < len(split_positions) else len(stripped)
part = stripped[pos:end].strip()
if part:
sanitized.append(part + "\n")
else:
sanitized.append(stripped + "\n")
return sanitized
def sanitize_env_file() -> int:
"""Read, sanitize, and rewrite ~/.hermes/.env in place.
Returns the number of lines that were fixed (concatenation splits +
placeholder removals). Returns 0 when no changes are needed.
"""
env_path = get_env_path()
if not env_path.exists():
return 0
read_kw = {"encoding": "utf-8", "errors": "replace"} if _IS_WINDOWS else {}
write_kw = {"encoding": "utf-8"} if _IS_WINDOWS else {}
with open(env_path, **read_kw) as f:
original_lines = f.readlines()
sanitized = _sanitize_env_lines(original_lines)
if sanitized == original_lines:
return 0
# Count fixes: difference in line count (from splits) + removed lines
fixes = abs(len(sanitized) - len(original_lines))
if fixes == 0:
# Lines changed content (e.g. *** removal) even if count is same
fixes = sum(1 for a, b in zip(original_lines, sanitized) if a != b)
fixes += abs(len(sanitized) - len(original_lines))
fd, tmp_path = tempfile.mkstemp(dir=str(env_path.parent), suffix=".tmp", prefix=".env_")
try:
with os.fdopen(fd, "w", **write_kw) as f:
f.writelines(sanitized)
f.flush()
os.fsync(f.fileno())
os.replace(tmp_path, env_path)
except BaseException:
try:
os.unlink(tmp_path)
except OSError:
pass
raise
_secure_file(env_path)
return fixes
def save_env_value(key: str, value: str):
"""Save or update a value in ~/.hermes/.env."""
if is_managed():
managed_error(f"set {key}")
return
if not _ENV_VAR_NAME_RE.match(key):
raise ValueError(f"Invalid environment variable name: {key!r}")
value = value.replace("\n", "").replace("\r", "")
@@ -1600,8 +1064,6 @@ def save_env_value(key: str, value: str):
if env_path.exists():
with open(env_path, **read_kw) as f:
lines = f.readlines()
# Sanitize on every read: split concatenated keys, drop stale placeholders
lines = _sanitize_env_lines(lines)
# Find and update or append
found = False
@@ -1720,12 +1182,8 @@ def show_config():
keys = [
("OPENROUTER_API_KEY", "OpenRouter"),
("VOICE_TOOLS_OPENAI_KEY", "OpenAI (STT/TTS)"),
("EXA_API_KEY", "Exa"),
("PARALLEL_API_KEY", "Parallel"),
("FIRECRAWL_API_KEY", "Firecrawl"),
("TAVILY_API_KEY", "Tavily"),
("BROWSERBASE_API_KEY", "Browserbase"),
("BROWSER_USE_API_KEY", "Browser Use"),
("FAL_KEY", "FAL"),
]
@@ -1740,6 +1198,7 @@ def show_config():
print(color("◆ Model", Colors.CYAN, Colors.BOLD))
print(f" Model: {config.get('model', 'not set')}")
print(f" Max turns: {config.get('agent', {}).get('max_turns', DEFAULT_CONFIG['agent']['max_turns'])}")
print(f" Toolsets: {', '.join(config.get('toolsets', ['all']))}")
# Display
print()
@@ -1758,11 +1217,11 @@ def show_config():
print(f" Timeout: {terminal.get('timeout', 60)}s")
if terminal.get('backend') == 'docker':
print(f" Docker image: {terminal.get('docker_image', 'nikolaik/python-nodejs:python3.11-nodejs20')}")
print(f" Docker image: {terminal.get('docker_image', 'python:3.11-slim')}")
elif terminal.get('backend') == 'singularity':
print(f" Image: {terminal.get('singularity_image', 'docker://nikolaik/python-nodejs:python3.11-nodejs20')}")
print(f" Image: {terminal.get('singularity_image', 'docker://python:3.11')}")
elif terminal.get('backend') == 'modal':
print(f" Modal image: {terminal.get('modal_image', 'nikolaik/python-nodejs:python3.11-nodejs20')}")
print(f" Modal image: {terminal.get('modal_image', 'python:3.11')}")
modal_token = get_env_value('MODAL_TOKEN_ID')
print(f" Modal token: {'configured' if modal_token else '(not set)'}")
elif terminal.get('backend') == 'daytona':
@@ -1792,10 +1251,7 @@ def show_config():
print(f" Enabled: {'yes' if enabled else 'no'}")
if enabled:
print(f" Threshold: {compression.get('threshold', 0.50) * 100:.0f}%")
print(f" Target ratio: {compression.get('target_ratio', 0.20) * 100:.0f}% of threshold preserved")
print(f" Protect last: {compression.get('protect_last_n', 20)} messages")
_sm = compression.get('summary_model', '') or '(main model)'
print(f" Model: {_sm}")
print(f" Model: {compression.get('summary_model', 'google/gemini-3-flash-preview')}")
comp_provider = compression.get('summary_provider', 'auto')
if comp_provider != 'auto':
print(f" Provider: {comp_provider}")
@@ -1842,9 +1298,6 @@ def show_config():
def edit_config():
"""Open config file in user's editor."""
if is_managed():
managed_error("edit configuration")
return
config_path = get_config_path()
# Ensure config exists
@@ -1874,14 +1327,10 @@ def edit_config():
def set_config_value(key: str, value: str):
"""Set a configuration value."""
if is_managed():
managed_error("set configuration values")
return
# Check if it's an API key (goes to .env)
api_keys = [
'OPENROUTER_API_KEY', 'OPENAI_API_KEY', 'ANTHROPIC_API_KEY', 'VOICE_TOOLS_OPENAI_KEY',
'EXA_API_KEY', 'PARALLEL_API_KEY', 'FIRECRAWL_API_KEY', 'FIRECRAWL_API_URL', 'TAVILY_API_KEY',
'BROWSERBASE_API_KEY', 'BROWSERBASE_PROJECT_ID', 'BROWSER_USE_API_KEY',
'FIRECRAWL_API_KEY', 'FIRECRAWL_API_URL', 'BROWSERBASE_API_KEY', 'BROWSERBASE_PROJECT_ID',
'FAL_KEY', 'TELEGRAM_BOT_TOKEN', 'DISCORD_BOT_TOKEN',
'TERMINAL_SSH_HOST', 'TERMINAL_SSH_USER', 'TERMINAL_SSH_KEY',
'SUDO_PASSWORD', 'SLACK_BOT_TOKEN', 'SLACK_APP_TOKEN',
@@ -1940,11 +1389,9 @@ def set_config_value(key: str, value: str):
"terminal.singularity_image": "TERMINAL_SINGULARITY_IMAGE",
"terminal.modal_image": "TERMINAL_MODAL_IMAGE",
"terminal.daytona_image": "TERMINAL_DAYTONA_IMAGE",
"terminal.docker_mount_cwd_to_workspace": "TERMINAL_DOCKER_MOUNT_CWD_TO_WORKSPACE",
"terminal.cwd": "TERMINAL_CWD",
"terminal.timeout": "TERMINAL_TIMEOUT",
"terminal.sandbox_dir": "TERMINAL_SANDBOX_DIR",
"terminal.persistent_shell": "TERMINAL_PERSISTENT_SHELL",
}
if key in _config_to_env_sync:
save_env_value(_config_to_env_sync[key], str(value))

View File

@@ -1,294 +0,0 @@
"""GitHub Copilot authentication utilities.
Implements the OAuth device code flow used by the Copilot CLI and handles
token validation/exchange for the Copilot API.
Token type support (per GitHub docs):
gho_ OAuth token ✓ (default via copilot login)
github_pat_ Fine-grained PAT ✓ (needs Copilot Requests permission)
ghu_ GitHub App token ✓ (via environment variable)
ghp_ Classic PAT ✗ NOT SUPPORTED
Credential search order (matching Copilot CLI behaviour):
1. COPILOT_GITHUB_TOKEN env var
2. GH_TOKEN env var
3. GITHUB_TOKEN env var
4. gh auth token CLI fallback
"""
from __future__ import annotations
import json
import logging
import os
import shutil
import subprocess
import time
from pathlib import Path
from typing import Optional
logger = logging.getLogger(__name__)
# OAuth device code flow constants (same client ID as opencode/Copilot CLI)
COPILOT_OAUTH_CLIENT_ID = "Ov23li8tweQw6odWQebz"
COPILOT_DEVICE_CODE_URL = "https://github.com/login/device/code"
COPILOT_ACCESS_TOKEN_URL = "https://github.com/login/oauth/access_token"
# Copilot API constants
COPILOT_TOKEN_EXCHANGE_URL = "https://api.github.com/copilot_internal/v2/token"
COPILOT_API_BASE_URL = "https://api.githubcopilot.com"
# Token type prefixes
_CLASSIC_PAT_PREFIX = "ghp_"
_SUPPORTED_PREFIXES = ("gho_", "github_pat_", "ghu_")
# Env var search order (matches Copilot CLI)
COPILOT_ENV_VARS = ("COPILOT_GITHUB_TOKEN", "GH_TOKEN", "GITHUB_TOKEN")
# Polling constants
_DEVICE_CODE_POLL_INTERVAL = 5 # seconds
_DEVICE_CODE_POLL_SAFETY_MARGIN = 3 # seconds
def is_classic_pat(token: str) -> bool:
"""Check if a token is a classic PAT (ghp_*), which Copilot doesn't support."""
return token.strip().startswith(_CLASSIC_PAT_PREFIX)
def validate_copilot_token(token: str) -> tuple[bool, str]:
"""Validate that a token is usable with the Copilot API.
Returns (valid, message).
"""
token = token.strip()
if not token:
return False, "Empty token"
if token.startswith(_CLASSIC_PAT_PREFIX):
return False, (
"Classic Personal Access Tokens (ghp_*) are not supported by the "
"Copilot API. Use one of:\n"
" → `copilot login` or `hermes model` to authenticate via OAuth\n"
" → A fine-grained PAT (github_pat_*) with Copilot Requests permission\n"
" → `gh auth login` with the default device code flow (produces gho_* tokens)"
)
return True, "OK"
def resolve_copilot_token() -> tuple[str, str]:
"""Resolve a GitHub token suitable for Copilot API use.
Returns (token, source) where source describes where the token came from.
Raises ValueError if only a classic PAT is available.
"""
# 1. Check env vars in priority order
for env_var in COPILOT_ENV_VARS:
val = os.getenv(env_var, "").strip()
if val:
valid, msg = validate_copilot_token(val)
if not valid:
logger.warning(
"Token from %s is not supported: %s", env_var, msg
)
continue
return val, env_var
# 2. Fall back to gh auth token
token = _try_gh_cli_token()
if token:
valid, msg = validate_copilot_token(token)
if not valid:
raise ValueError(
f"Token from `gh auth token` is a classic PAT (ghp_*). {msg}"
)
return token, "gh auth token"
return "", ""
def _gh_cli_candidates() -> list[str]:
"""Return candidate ``gh`` binary paths, including common Homebrew installs."""
candidates: list[str] = []
resolved = shutil.which("gh")
if resolved:
candidates.append(resolved)
for candidate in (
"/opt/homebrew/bin/gh",
"/usr/local/bin/gh",
str(Path.home() / ".local" / "bin" / "gh"),
):
if candidate in candidates:
continue
if os.path.isfile(candidate) and os.access(candidate, os.X_OK):
candidates.append(candidate)
return candidates
def _try_gh_cli_token() -> Optional[str]:
"""Return a token from ``gh auth token`` when the GitHub CLI is available."""
for gh_path in _gh_cli_candidates():
try:
result = subprocess.run(
[gh_path, "auth", "token"],
capture_output=True,
text=True,
timeout=5,
)
except (FileNotFoundError, subprocess.TimeoutExpired) as exc:
logger.debug("gh CLI token lookup failed (%s): %s", gh_path, exc)
continue
if result.returncode == 0 and result.stdout.strip():
return result.stdout.strip()
return None
# ─── OAuth Device Code Flow ────────────────────────────────────────────────
def copilot_device_code_login(
*,
host: str = "github.com",
timeout_seconds: float = 300,
) -> Optional[str]:
"""Run the GitHub OAuth device code flow for Copilot.
Prints instructions for the user, polls for completion, and returns
the OAuth access token on success, or None on failure/cancellation.
This replicates the flow used by opencode and the Copilot CLI.
"""
import urllib.request
import urllib.parse
domain = host.rstrip("/")
device_code_url = f"https://{domain}/login/device/code"
access_token_url = f"https://{domain}/login/oauth/access_token"
# Step 1: Request device code
data = urllib.parse.urlencode({
"client_id": COPILOT_OAUTH_CLIENT_ID,
"scope": "read:user",
}).encode()
req = urllib.request.Request(
device_code_url,
data=data,
headers={
"Accept": "application/json",
"Content-Type": "application/x-www-form-urlencoded",
"User-Agent": "HermesAgent/1.0",
},
)
try:
with urllib.request.urlopen(req, timeout=15) as resp:
device_data = json.loads(resp.read().decode())
except Exception as exc:
logger.error("Failed to initiate device authorization: %s", exc)
print(f" ✗ Failed to start device authorization: {exc}")
return None
verification_uri = device_data.get("verification_uri", "https://github.com/login/device")
user_code = device_data.get("user_code", "")
device_code = device_data.get("device_code", "")
interval = max(device_data.get("interval", _DEVICE_CODE_POLL_INTERVAL), 1)
if not device_code or not user_code:
print(" ✗ GitHub did not return a device code.")
return None
# Step 2: Show instructions
print()
print(f" Open this URL in your browser: {verification_uri}")
print(f" Enter this code: {user_code}")
print()
print(" Waiting for authorization...", end="", flush=True)
# Step 3: Poll for completion
deadline = time.time() + timeout_seconds
while time.time() < deadline:
time.sleep(interval + _DEVICE_CODE_POLL_SAFETY_MARGIN)
poll_data = urllib.parse.urlencode({
"client_id": COPILOT_OAUTH_CLIENT_ID,
"device_code": device_code,
"grant_type": "urn:ietf:params:oauth:grant-type:device_code",
}).encode()
poll_req = urllib.request.Request(
access_token_url,
data=poll_data,
headers={
"Accept": "application/json",
"Content-Type": "application/x-www-form-urlencoded",
"User-Agent": "HermesAgent/1.0",
},
)
try:
with urllib.request.urlopen(poll_req, timeout=10) as resp:
result = json.loads(resp.read().decode())
except Exception:
print(".", end="", flush=True)
continue
if result.get("access_token"):
print("")
return result["access_token"]
error = result.get("error", "")
if error == "authorization_pending":
print(".", end="", flush=True)
continue
elif error == "slow_down":
# RFC 8628: add 5 seconds to polling interval
server_interval = result.get("interval")
if isinstance(server_interval, (int, float)) and server_interval > 0:
interval = int(server_interval)
else:
interval += 5
print(".", end="", flush=True)
continue
elif error == "expired_token":
print()
print(" ✗ Device code expired. Please try again.")
return None
elif error == "access_denied":
print()
print(" ✗ Authorization was denied.")
return None
elif error:
print()
print(f" ✗ Authorization failed: {error}")
return None
print()
print(" ✗ Timed out waiting for authorization.")
return None
# ─── Copilot API Headers ───────────────────────────────────────────────────
def copilot_request_headers(
*,
is_agent_turn: bool = True,
is_vision: bool = False,
) -> dict[str, str]:
"""Build the standard headers for Copilot API requests.
Replicates the header set used by opencode and the Copilot CLI.
"""
headers: dict[str, str] = {
"Editor-Version": "vscode/1.104.1",
"User-Agent": "HermesAgent/1.0",
"Openai-Intent": "conversation-edits",
"x-initiator": "agent" if is_agent_turn else "user",
}
if is_vision:
headers["Copilot-Vision-Request"] = "true"
return headers

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