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Author SHA1 Message Date
alt-glitch 415043315f refactor: remove config TypedDicts and fix ImportError propagation in clipboard
Remove 44 TypedDict classes from config.py — they were already stale
(11 missing keys) and load_config() still returns Dict[str, Any], so
they provided zero type-checking value. Keep the int() coercions and
Dict[str, Any] annotations which are real fixes.

Fix _wayland_save() swallowing ImportError at DEBUG level by adding
an explicit except ImportError: raise before the broad except Exception.
2026-04-23 17:41:25 +05:30
alt-glitch 98eb32f39a Clean up TODO comment in auxiliary_client.py
Remove the unnecessary nudge about agent refactoring; the TODO describes
the actual work that needs to be done.
2026-04-23 17:41:18 +05:30
alt-glitch 2df306e6cd Add helpful ImportError messages for optional dependencies
When optional dependencies are missing, raise ImportError with
installation
instructions pointing to the relevant extras group (e.g. `[messaging]`,
`[cli]`, `[mcp]`, etc.) instead of letting the import fail silently.
2026-04-23 17:41:18 +05:30
alt-glitch 79a5f03f92 refactor(types): simplify pass on P1 batch
Follow-up to 15ac253b per /simplify review:

- gateway/platforms/discord.py:3638 - move self.resolved = True *after*
  the `if interaction.data is None: return` guard. Previously the view
  was marked resolved before the None-guard, so a None data payload
  silently rejected the user's next click.
- agent/display.py:732 - replace `if self.start_time is None: continue`
  with `assert self.start_time is not None`. start() sets start_time
  before the animate thread starts, so the None branch was dead; the
  `continue` form would have busy-looped (skipping the 0.12s sleep).
- tests/hermes_cli/test_config_shapes.py - drop __total__ dunder
  restatement test (it just echoes the class declaration); trim commit
  narration from module docstring.
- tests/agent/test_credential_pool.py, tests/tools/test_rl_training_tool.py -
  drop "added in commit ..." banners (narrates the change per CLAUDE.md).
2026-04-23 17:41:18 +05:30
alt-glitch 527ca7d238 fix(types): batch P1 ty hotfixes + run_agent.py annotation pass
15 P1 ship-stopper runtime bugs from the ty triage plus the cross-bucket
cleanup in run_agent.py. Net: -138 ty diagnostics (1953 -> 1815). Major
wins on not-subscriptable (-34), unresolved-attribute (-29),
invalid-argument-type (-26), invalid-type-form (-20),
unsupported-operator
(-18), invalid-key (-9).

Missing refs (structural):
- tools/rl_training_tool.py: RunState dataclass gains api_log_file,
  trainer_log_file, env_log_file fields; stop-run was closing undeclared
  handles.
- agent/credential_pool.py: remove_entry(entry_id) added, symmetric with
  add_entry; used by hermes_cli/web_server.py OAuth dashboard cleanup.
- hermes_cli/config.py: _CamofoxConfig TypedDict defined (was referenced
  by _BrowserConfig but never declared).
- hermes_cli/gateway.py: _setup_wecom_callback() added, mirroring
  _setup_wecom().
- tui_gateway/server.py: skills_hub imports corrected from
  hermes_cli.skills_hub -> tools.skills_hub.

Typo / deprecation:
- tools/transcription_tools.py: os.sys.modules -> sys.modules.
- gateway/platforms/bluebubbles.py: datetime.utcnow() ->
  datetime.now(timezone.utc).

None-guards:
- gateway/platforms/telegram.py:~2798 - msg.sticker None guard.
- gateway/platforms/discord.py:3602/3637 - interaction.data None +
  SelectMenu narrowing; :3009 - thread_id None before `in`; :1893 -
  guild.member_count None.
- gateway/platforms/matrix.py:2174/2185 - walrus-narrow
  re.search().group().
- agent/display.py:732 - start_time None before elapsed subtraction.
- gateway/run.py:10334 - assert _agent_timeout is not None before `//
  60`.

Platform override signature match:
- gateway/platforms/email.py: send_image accepts metadata kwarg;
  send_document accepts **kwargs (matches base class).

run_agent.py annotation pass:
- callable/any -> Callable/Any in annotation position (15 sites in
  run_agent.py + 5 in cli.py, toolset_distributions.py,
  tools/delegate_tool.py, hermes_cli/dingtalk_auth.py,
  tui_gateway/server.py).
- conversation_history param widened to list[dict[str, Any]] | None.
- OMIT_TEMPERATURE sentinel guarded from leaking into
  call_llm(temperature): kwargs-dict pattern at run_agent.py:7337 +
  scripts/trajectory_compressor.py:618/688.
- build_anthropic_client(timeout) widened to Optional[float].

Tests:
- tests/agent/test_credential_pool.py: remove_entry (id match,
  unknown-id, priority renumbering).
- tests/hermes_cli/test_config_shapes.py: _CamofoxConfig shape +
  nesting.
- tests/tools/test_rl_training_tool.py: RunState log_file fields.
2026-04-23 17:41:18 +05:30
alt-glitch b11e53e34f fix: resolve not-subscriptable ty diagnostics across codebase
Add TypedDicts for DEFAULT_CONFIG, CLI state dicts (_ModelPickerState,
_ApprovalState, _ClarifyState), and OPTIONAL_ENV_VARS so ty can resolve
nested dict subscripts.  Guard Optional returns before subscripting
(toolsets, cron/scheduler, delegate_tool), coerce str|None to str before
slicing (gateway/run, run_agent), split ternary for isinstance narrowing
(wecom), and suppress discord interaction.data access with ty: ignore.
2026-04-23 17:41:10 +05:30
alt-glitch 1e7a598bac fix: declare undeclared soft deps in extras and remove silent import guards
Previously mutagen, aiohttp-socks, tiktoken, Pillow, psutil, datasets,
neutts, and soundfile were used behind try/except ImportError with silent
fallbacks, masking broken functionality at runtime.  Declare each in its
natural extra (messaging, cli, mcp, rl, new tts-local) so they get
installed, and remove the guards so missing deps crash loudly.
2026-04-23 17:41:10 +05:30
alt-glitch 3eddabf53b fix: resolve all call-non-callable ty diagnostics across codebase
Replace hasattr() duck-typing with isinstance() checks for DiscordAdapter
in gateway/run.py, add TypedDict for IMAGEGEN_BACKENDS in tools_config.py,
properly type fal_client getattr'd callables in image_generation_tool.py,
fix dict[str, object] → Callable annotation in approval.py, use
isinstance(BaseModel) in web_tools.py, capture _message_handler to local
in base.py, rename shadowed list_distributions parameter in batch_runner.py,
and remove dead queue_message branch.
2026-04-23 17:40:52 +05:30
alt-glitch 971542d254 refactor: move standalone scripts to scripts/ directory
Move batch_runner, trajectory_compressor, mini_swe_runner, and rl_cli
from the project root into scripts/, update all imports, logger names,
pyproject.toml, and downstream test references.
2026-04-23 17:40:52 +05:30
alt-glitch 4a95029e6c fix: resolve all invalid-return-type ty diagnostics across codebase
Widen return type annotations to match actual control flow, add
unreachable assertions after retry loops ty cannot prove terminate,
split ambiguous union returns (auth.py credential pool), and remove
the AIOHTTP_AVAILABLE conditional-import guard from api_server.py.
2026-04-23 17:40:52 +05:30
alt-glitch 432614591a Add TYPE_CHECKING imports to fix unresolved-reference type bugs 2026-04-23 17:40:52 +05:30
490 changed files with 4278 additions and 76645 deletions
-3
View File
@@ -53,9 +53,6 @@ jobs:
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
- name: Regenerate per-skill docs pages + catalogs
run: python3 website/scripts/generate-skill-docs.py
- name: Build skills index (if not already present)
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-3
View File
@@ -36,9 +36,6 @@ jobs:
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
- name: Regenerate per-skill docs pages + catalogs
run: python3 website/scripts/generate-skill-docs.py
- name: Lint docs diagrams
run: npm run lint:diagrams
working-directory: website
-4
View File
@@ -52,10 +52,6 @@ ignored/
.worktrees/
environments/benchmarks/evals/
# Compression eval run outputs (harness lives in scripts/compression_eval/)
scripts/compression_eval/results/*
!scripts/compression_eval/results/.gitkeep
# Web UI build output
hermes_cli/web_dist/
+77 -211
View File
@@ -5,61 +5,78 @@ Instructions for AI coding assistants and developers working on the hermes-agent
## Development Environment
```bash
# Prefer .venv; fall back to venv if that's what your checkout has.
source .venv/bin/activate # or: source venv/bin/activate
source venv/bin/activate # ALWAYS activate before running Python
```
`scripts/run_tests.sh` probes `.venv` first, then `venv`, then
`$HOME/.hermes/hermes-agent/venv` (for worktrees that share a venv with the
main checkout).
## Project Structure
File counts shift constantly — don't treat the tree below as exhaustive.
The canonical source is the filesystem. The notes call out the load-bearing
entry points you'll actually edit.
```
hermes-agent/
├── run_agent.py # AIAgent class — core conversation loop (~12k LOC)
├── run_agent.py # AIAgent class — core conversation loop
├── model_tools.py # Tool orchestration, discover_builtin_tools(), handle_function_call()
├── toolsets.py # Toolset definitions, _HERMES_CORE_TOOLS list
├── cli.py # HermesCLI class — interactive CLI orchestrator (~11k LOC)
├── cli.py # HermesCLI class — interactive CLI orchestrator
├── hermes_state.py # SessionDB — SQLite session store (FTS5 search)
├── hermes_constants.py # get_hermes_home(), display_hermes_home() — profile-aware paths
├── hermes_logging.py # setup_logging() — agent.log / errors.log / gateway.log (profile-aware)
├── batch_runner.py # Parallel batch processing
├── agent/ # Agent internals (provider adapters, memory, caching, compression, etc.)
├── hermes_cli/ # CLI subcommands, setup wizard, plugins loader, skin engine
├── tools/ # Tool implementations — auto-discovered via tools/registry.py
├── agent/ # Agent internals
│ ├── prompt_builder.py # System prompt assembly
│ ├── context_compressor.py # Auto context compression
│ ├── 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
├── hermes_cli/ # CLI subcommands and setup
│ ├── main.py # Entry point — all `hermes` subcommands
│ ├── config.py # DEFAULT_CONFIG, OPTIONAL_ENV_VARS, migration
│ ├── commands.py # Slash command definitions + SlashCommandCompleter
│ ├── callbacks.py # Terminal callbacks (clarify, sudo, approval)
│ ├── setup.py # Interactive setup wizard
│ ├── skin_engine.py # Skin/theme engine — CLI visual customization
│ ├── skills_config.py # `hermes skills` — enable/disable skills per platform
│ ├── 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)
│ ├── approval.py # Dangerous command detection
│ ├── 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)
│ ├── browser_tool.py # Browserbase browser automation
│ ├── code_execution_tool.py # execute_code sandbox
│ ├── delegate_tool.py # Subagent delegation
│ ├── mcp_tool.py # MCP client (~1050 lines)
│ └── environments/ # Terminal backends (local, docker, ssh, modal, daytona, singularity)
├── gateway/ # Messaging gateway — run.py + session.py + platforms/
│ ├── platforms/ # Adapter per platform (telegram, discord, slack, whatsapp,
│ # homeassistant, signal, matrix, mattermost, email, sms,
│ # dingtalk, wecom, weixin, feishu, qqbot, bluebubbles,
│ │ # webhook, api_server, ...). See ADDING_A_PLATFORM.md.
│ └── builtin_hooks/ # Always-registered gateway hooks (boot-md, ...)
├── plugins/ # Plugin system (see "Plugins" section below)
│ ├── memory/ # Memory-provider plugins (honcho, mem0, supermemory, ...)
│ ├── context_engine/ # Context-engine plugins
│ └── <others>/ # Dashboard, image-gen, disk-cleanup, examples, ...
├── optional-skills/ # Heavier/niche skills shipped but NOT active by default
├── skills/ # Built-in skills bundled with the repo
├── gateway/ # Messaging platform gateway
│ ├── run.py # Main loop, slash commands, message dispatch
├── session.py # SessionStore — conversation persistence
└── platforms/ # Adapters: telegram, discord, slack, whatsapp, homeassistant, signal, qqbot
├── ui-tui/ # Ink (React) terminal UI — `hermes --tui`
── src/ # entry.tsx, app.tsx, gatewayClient.ts + app/components/hooks/lib
── src/entry.tsx # TTY gate + render()
│ ├── src/app.tsx # Main state machine and UI
│ ├── src/gatewayClient.ts # Child process + JSON-RPC bridge
│ ├── src/app/ # Decomposed app logic (event handler, slash handler, stores, hooks)
│ ├── src/components/ # Ink components (branding, markdown, prompts, pickers, etc.)
│ ├── src/hooks/ # useCompletion, useInputHistory, useQueue, useVirtualHistory
│ └── src/lib/ # Pure helpers (history, osc52, text, rpc, messages)
├── tui_gateway/ # Python JSON-RPC backend for the TUI
│ ├── entry.py # stdio entrypoint
│ ├── server.py # RPC handlers and session logic
│ ├── render.py # Optional rich/ANSI bridge
│ └── slash_worker.py # Persistent HermesCLI subprocess for slash commands
├── acp_adapter/ # ACP server (VS Code / Zed / JetBrains integration)
├── cron/ # Scheduler jobs.py, scheduler.py
├── cron/ # Scheduler (jobs.py, scheduler.py)
├── environments/ # RL training environments (Atropos)
├── scripts/ # run_tests.sh, release.py, auxiliary scripts
── website/ # Docusaurus docs site
└── tests/ # Pytest suite (~15k tests across ~700 files as of Apr 2026)
├── tests/ # Pytest suite (~3000 tests)
── batch_runner.py # Parallel batch processing
```
**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys only).
**Logs:** `~/.hermes/logs/``agent.log` (INFO+), `errors.log` (WARNING+),
`gateway.log` when running the gateway. Profile-aware via `get_hermes_home()`.
Browse with `hermes logs [--follow] [--level ...] [--session ...]`.
**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys)
## File Dependency Chain
@@ -77,30 +94,20 @@ run_agent.py, cli.py, batch_runner.py, environments/
## AIAgent Class (run_agent.py)
The real `AIAgent.__init__` takes ~60 parameters (credentials, routing, callbacks,
session context, budget, credential pool, etc.). The signature below is the
minimum subset you'll usually touch — read `run_agent.py` for the full list.
```python
class AIAgent:
def __init__(self,
base_url: str = None,
api_key: str = None,
provider: str = None,
api_mode: str = None, # "chat_completions" | "codex_responses" | ...
model: str = "", # empty → resolved from config/provider later
max_iterations: int = 90, # tool-calling iterations (shared with subagents)
model: str = "anthropic/claude-opus-4.6",
max_iterations: int = 90,
enabled_toolsets: list = None,
disabled_toolsets: list = None,
quiet_mode: bool = False,
save_trajectories: bool = False,
platform: str = None, # "cli", "telegram", etc.
platform: str = None, # "cli", "telegram", etc.
session_id: str = None,
skip_context_files: bool = False,
skip_memory: bool = False,
credential_pool=None,
# ... plus callbacks, thread/user/chat IDs, iteration_budget, fallback_model,
# checkpoints config, prefill_messages, service_tier, reasoning_config, etc.
# ... plus provider, api_mode, callbacks, routing params
): ...
def chat(self, message: str) -> str:
@@ -113,13 +120,10 @@ class AIAgent:
### Agent Loop
The core loop is inside `run_conversation()` — entirely synchronous, with
interrupt checks, budget tracking, and a one-turn grace call:
The core loop is inside `run_conversation()` — entirely synchronous:
```python
while (api_call_count < self.max_iterations and self.iteration_budget.remaining > 0) \
or self._budget_grace_call:
if self._interrupt_requested: break
while api_call_count < self.max_iterations and self.iteration_budget.remaining > 0:
response = client.chat.completions.create(model=model, messages=messages, tools=tool_schemas)
if response.tool_calls:
for tool_call in response.tool_calls:
@@ -130,8 +134,7 @@ while (api_call_count < self.max_iterations and self.iteration_budget.remaining
return response.content
```
Messages follow OpenAI format: `{"role": "system/user/assistant/tool", ...}`.
Reasoning content is stored in `assistant_msg["reasoning"]`.
Messages follow OpenAI format: `{"role": "system/user/assistant/tool", ...}`. Reasoning content is stored in `assistant_msg["reasoning"]`.
---
@@ -277,7 +280,7 @@ The registry handles schema collection, dispatch, availability checking, and err
**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 `tools/todo_tool.py` for the pattern.
**Agent-level tools** (todo, memory): intercepted by `run_agent.py` before `handle_function_call()`. See `todo_tool.py` for the pattern.
---
@@ -285,13 +288,9 @@ The registry handles schema collection, dispatch, availability checking, and err
### config.yaml options:
1. Add to `DEFAULT_CONFIG` in `hermes_cli/config.py`
2. Bump `_config_version` (check the current value at the top of `DEFAULT_CONFIG`)
ONLY if you need to actively migrate/transform existing user config
(renaming keys, changing structure). Adding a new key to an existing
section is handled automatically by the deep-merge and does NOT require
a version bump.
2. Bump `_config_version` (currently 5) to trigger migration for existing users
### .env variables (SECRETS ONLY — API keys, tokens, passwords):
### .env variables:
1. Add to `OPTIONAL_ENV_VARS` in `hermes_cli/config.py` with metadata:
```python
"NEW_API_KEY": {
@@ -303,29 +302,13 @@ The registry handles schema collection, dispatch, availability checking, and err
},
```
Non-secret settings (timeouts, thresholds, feature flags, paths, display
preferences) belong in `config.yaml`, not `.env`. If internal code needs an
env var mirror for backward compatibility, bridge it from `config.yaml` to
the env var in code (see `gateway_timeout`, `terminal.cwd``TERMINAL_CWD`).
### Config loaders (three paths — know which one you're in):
### Config loaders (two separate systems):
| Loader | Used by | Location |
|--------|---------|----------|
| `load_cli_config()` | CLI mode | `cli.py` — merges CLI-specific defaults + user YAML |
| `load_config()` | `hermes tools`, `hermes setup`, most CLI subcommands | `hermes_cli/config.py` — merges `DEFAULT_CONFIG` + user YAML |
| Direct YAML load | Gateway runtime | `gateway/run.py` + `gateway/config.py` — reads user YAML raw |
If you add a new key and the CLI sees it but the gateway doesn't (or vice
versa), you're on the wrong loader. Check `DEFAULT_CONFIG` coverage.
### Working directory:
- **CLI** — uses the process's current directory (`os.getcwd()`).
- **Messaging** — uses `terminal.cwd` from `config.yaml`. The gateway bridges this
to the `TERMINAL_CWD` env var for child tools. **`MESSAGING_CWD` has been
removed** — the config loader prints a deprecation warning if it's set in
`.env`. Same for `TERMINAL_CWD` in `.env`; the canonical setting is
`terminal.cwd` in `config.yaml`.
| `load_cli_config()` | CLI mode | `cli.py` |
| `load_config()` | `hermes tools`, `hermes setup` | `hermes_cli/config.py` |
| Direct YAML load | Gateway | `gateway/run.py` |
---
@@ -418,95 +401,7 @@ Activate with `/skin cyberpunk` or `display.skin: cyberpunk` in config.yaml.
---
## Plugins
Hermes has two plugin surfaces. Both live under `plugins/` in the repo so
repo-shipped plugins can be discovered alongside user-installed ones in
`~/.hermes/plugins/` and pip-installed entry points.
### General plugins (`hermes_cli/plugins.py` + `plugins/<name>/`)
`PluginManager` discovers plugins from `~/.hermes/plugins/`, `./.hermes/plugins/`,
and pip entry points. Each plugin exposes a `register(ctx)` function that
can:
- Register Python-callback lifecycle hooks:
`pre_tool_call`, `post_tool_call`, `pre_llm_call`, `post_llm_call`,
`on_session_start`, `on_session_end`
- Register new tools via `ctx.register_tool(...)`
- Register CLI subcommands via `ctx.register_cli_command(...)` — the
plugin's argparse tree is wired into `hermes` at startup so
`hermes <pluginname> <subcmd>` works with no change to `main.py`
Hooks are invoked from `model_tools.py` (pre/post tool) and `run_agent.py`
(lifecycle). **Discovery timing pitfall:** `discover_plugins()` only runs
as a side effect of importing `model_tools.py`. Code paths that read plugin
state without importing `model_tools.py` first must call `discover_plugins()`
explicitly (it's idempotent).
### Memory-provider plugins (`plugins/memory/<name>/`)
Separate discovery system for pluggable memory backends. Current built-in
providers include **honcho, mem0, supermemory, byterover, hindsight,
holographic, openviking, retaindb**.
Each provider implements the `MemoryProvider` ABC (see `agent/memory_provider.py`)
and is orchestrated by `agent/memory_manager.py`. Lifecycle hooks include
`sync_turn(turn_messages)`, `prefetch(query)`, `shutdown()`, and optional
`post_setup(hermes_home, config)` for setup-wizard integration.
**CLI commands via `plugins/memory/<name>/cli.py`:** if a memory plugin
defines `register_cli(subparser)`, `discover_plugin_cli_commands()` finds
it at argparse setup time and wires it into `hermes <plugin>`. The
framework only exposes CLI commands for the **currently active** memory
provider (read from `memory.provider` in config.yaml), so disabled
providers don't clutter `hermes --help`.
**Rule (Teknium, May 2026):** plugins MUST NOT modify core files
(`run_agent.py`, `cli.py`, `gateway/run.py`, `hermes_cli/main.py`, etc.).
If a plugin needs a capability the framework doesn't expose, expand the
generic plugin surface (new hook, new ctx method) — never hardcode
plugin-specific logic into core. PR #5295 removed 95 lines of hardcoded
honcho argparse from `main.py` for exactly this reason.
### Dashboard / context-engine / image-gen plugin directories
`plugins/context_engine/`, `plugins/image_gen/`, `plugins/example-dashboard/`,
etc. follow the same pattern (ABC + orchestrator + per-plugin directory).
Context engines plug into `agent/context_engine.py`; image-gen providers
into `agent/image_gen_provider.py`.
---
## Skills
Two parallel surfaces:
- **`skills/`** — built-in skills shipped and loadable by default.
Organized by category directories (e.g. `skills/github/`, `skills/mlops/`).
- **`optional-skills/`** — heavier or niche skills shipped with the repo but
NOT active by default. Installed explicitly via
`hermes skills install official/<category>/<skill>`. Adapter lives in
`tools/skills_hub.py` (`OptionalSkillSource`). Categories include
`autonomous-ai-agents`, `blockchain`, `communication`, `creative`,
`devops`, `email`, `health`, `mcp`, `migration`, `mlops`, `productivity`,
`research`, `security`, `web-development`.
When reviewing skill PRs, check which directory they target — heavy-dep or
niche skills belong in `optional-skills/`.
### SKILL.md frontmatter
Standard fields: `name`, `description`, `version`, `platforms`
(OS-gating list: `[macos]`, `[linux, macos]`, ...),
`metadata.hermes.tags`, `metadata.hermes.category`,
`metadata.hermes.config` (config.yaml settings the skill needs — stored
under `skills.config.<key>`, prompted during setup, injected at load time).
---
## Important Policies
### Prompt Caching Must Not Break
Hermes-Agent ensures caching remains valid throughout a conversation. **Do NOT implement changes that would:**
@@ -516,10 +411,9 @@ Hermes-Agent ensures caching remains valid throughout a conversation. **Do NOT i
Cache-breaking forces dramatically higher costs. The ONLY time we alter context is during context compression.
Slash commands that mutate system-prompt state (skills, tools, memory, etc.)
must be **cache-aware**: default to deferred invalidation (change takes
effect next session), with an opt-in `--now` flag for immediate
invalidation. See `/skills install --now` for the canonical pattern.
### Working Directory Behavior
- **CLI**: Uses current directory (`.``os.getcwd()`)
- **Messaging**: Uses `MESSAGING_CWD` env var (default: home directory)
### Background Process Notifications (Gateway)
@@ -541,7 +435,7 @@ Hermes supports **profiles** — multiple fully isolated instances, each with it
`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 `get_hermes_home()` references
`HERMES_HOME` before any module imports. All 119+ references to `get_hermes_home()`
automatically scope to the active profile.
### Rules for profile-safe code
@@ -598,12 +492,8 @@ Use `get_hermes_home()` from `hermes_constants` for code paths. Use `display_her
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 introduce new `simple_term_menu` usage
Existing call sites in `hermes_cli/main.py` remain for legacy fallback only;
the preferred UI is curses (stdlib) because `simple_term_menu` has
ghost-duplication rendering bugs in tmux/iTerm2 with arrow keys. New
interactive menus must use `hermes_cli/curses_ui.py` — see
`hermes_cli/tools_config.py` for the canonical pattern.
### 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.
### DO NOT use `\033[K` (ANSI erase-to-EOL) in spinner/display code
Leaks as literal `?[K` text under `prompt_toolkit`'s `patch_stdout`. Use space-padding: `f"\r{line}{' ' * pad}"`.
@@ -614,30 +504,6 @@ Leaks as literal `?[K` text under `prompt_toolkit`'s `patch_stdout`. Use space-p
### 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.
### The gateway has TWO message guards — both must bypass approval/control commands
When an agent is running, messages pass through two sequential guards:
(1) **base adapter** (`gateway/platforms/base.py`) queues messages in
`_pending_messages` when `session_key in self._active_sessions`, and
(2) **gateway runner** (`gateway/run.py`) intercepts `/stop`, `/new`,
`/queue`, `/status`, `/approve`, `/deny` before they reach
`running_agent.interrupt()`. Any new command that must reach the runner
while the agent is blocked (e.g. approval prompts) MUST bypass BOTH
guards and be dispatched inline, not via `_process_message_background()`
(which races session lifecycle).
### Squash merges from stale branches silently revert recent fixes
Before squash-merging a PR, ensure the branch is up to date with `main`
(`git fetch origin main && git reset --hard origin/main` in the worktree,
then re-apply the PR's commits). A stale branch's version of an unrelated
file will silently overwrite recent fixes on main when squashed. Verify
with `git diff HEAD~1..HEAD` after merging — unexpected deletions are a
red flag.
### Don't wire in dead code without E2E validation
Unused code that was never shipped was dead for a reason. Before wiring an
unused module into a live code path, E2E test the real resolution chain
with actual imports (not mocks) against a temp `HERMES_HOME`.
### 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.
@@ -693,7 +559,7 @@ If you can't use the wrapper (e.g. on Windows or inside an IDE that shells
pytest directly), at minimum activate the venv and pass `-n 4`:
```bash
source .venv/bin/activate # or: source venv/bin/activate
source venv/bin/activate
python -m pytest tests/ -q -n 4
```
+3 -3
View File
@@ -9,7 +9,7 @@ Thank you for contributing to Hermes Agent! This guide covers everything you nee
We value contributions in this order:
1. **Bug fixes** — crashes, incorrect behavior, data loss. Always top priority.
2. **Cross-platform compatibility** — macOS, different Linux distros, and WSL2 on Windows. We want Hermes to work everywhere.
2. **Cross-platform compatibility** Windows, macOS, different Linux distros, different terminal emulators. We want Hermes to work everywhere.
3. **Security hardening** — shell injection, prompt injection, path traversal, privilege escalation. See [Security](#security-considerations).
4. **Performance and robustness** — retry logic, error handling, graceful degradation.
5. **New skills** — but only broadly useful ones. See [Should it be a Skill or a Tool?](#should-it-be-a-skill-or-a-tool)
@@ -515,7 +515,7 @@ See `hermes_cli/skin_engine.py` for the full schema and existing skins as exampl
## Cross-Platform Compatibility
Hermes runs on Linux, macOS, and WSL2 on Windows. When writing code that touches the OS:
Hermes runs on Linux, macOS, and Windows. When writing code that touches the OS:
### Critical rules
@@ -597,7 +597,7 @@ refactor/description # Code restructuring
1. **Run tests**: `pytest tests/ -v`
2. **Test manually**: Run `hermes` and exercise the code path you changed
3. **Check cross-platform impact**: If you touch file I/O, process management, or terminal handling, consider macOS, Linux, and WSL2
3. **Check cross-platform impact**: If you touch file I/O, process management, or terminal handling, consider Windows and macOS
4. **Keep PRs focused**: One logical change per PR. Don't mix a bug fix with a refactor with a new feature.
### PR description
+4 -12
View File
@@ -10,11 +10,9 @@ ENV PYTHONUNBUFFERED=1
ENV PLAYWRIGHT_BROWSERS_PATH=/opt/hermes/.playwright
# Install system dependencies in one layer, clear APT cache
# tini reaps orphaned zombie processes (MCP stdio subprocesses, git, bun, etc.)
# that would otherwise accumulate when hermes runs as PID 1. See #15012.
RUN apt-get update && \
apt-get install -y --no-install-recommends \
build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git openssh-client docker-cli tini && \
build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git openssh-client docker-cli && \
rm -rf /var/lib/apt/lists/*
# Non-root user for runtime; UID can be overridden via HERMES_UID at runtime
@@ -43,15 +41,9 @@ COPY --chown=hermes:hermes . .
# Build web dashboard (Vite outputs to hermes_cli/web_dist/)
RUN cd web && npm run build
# ---------- Permissions ----------
# Make install dir world-readable so any HERMES_UID can read it at runtime.
# The venv needs to be traversable too.
USER root
RUN chmod -R a+rX /opt/hermes
# Start as root so the entrypoint can usermod/groupmod + gosu.
# If HERMES_UID is unset, the entrypoint drops to the default hermes user (10000).
# ---------- Python virtualenv ----------
RUN chown hermes:hermes /opt/hermes
USER hermes
RUN uv venv && \
uv pip install --no-cache-dir -e ".[all]"
@@ -60,4 +52,4 @@ ENV HERMES_WEB_DIST=/opt/hermes/hermes_cli/web_dist
ENV HERMES_HOME=/opt/data
ENV PATH="/opt/data/.local/bin:${PATH}"
VOLUME [ "/opt/data" ]
ENTRYPOINT [ "/usr/bin/tini", "-g", "--", "/opt/hermes/docker/entrypoint.sh" ]
ENTRYPOINT [ "/opt/hermes/docker/entrypoint.sh" ]
+7 -3
View File
@@ -76,7 +76,7 @@ Hermes has two entry points: start the terminal UI with `hermes`, or run the gat
| 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>` | `/<skill-name>` |
| 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` |
@@ -157,10 +157,14 @@ curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv venv --python 3.11
source venv/bin/activate
uv pip install -e ".[all,dev]"
scripts/run_tests.sh
python -m pytest tests/ -q
```
> **RL Training (optional):** The RL/Atropos integration (`environments/`) ships via the `atroposlib` and `tinker` dependencies pulled in by `.[all,dev]` — no submodule setup required.
> **RL Training (optional):** To work on the RL/Tinker-Atropos integration:
> ```bash
> git submodule update --init tinker-atropos
> uv pip install -e "./tinker-atropos"
> ```
---
-453
View File
@@ -1,453 +0,0 @@
# Hermes Agent v0.11.0 (v2026.4.23)
**Release Date:** April 23, 2026
**Since v0.9.0:** 1,556 commits · 761 merged PRs · 1,314 files changed · 224,174 insertions · 29 community contributors (290 including co-authors)
> The Interface release — a full React/Ink rewrite of the interactive CLI, a pluggable transport architecture underneath every provider, native AWS Bedrock support, five new inference paths, a 17th messaging platform (QQBot), a dramatically expanded plugin surface, and GPT-5.5 via Codex OAuth.
This release also folds in all the highlights deferred from v0.10.0 (which shipped only the Nous Tool Gateway) — so it covers roughly two weeks of work across the whole stack.
---
## ✨ Highlights
- **New Ink-based TUI** — `hermes --tui` is now a full React/Ink rewrite of the interactive CLI, with a Python JSON-RPC backend (`tui_gateway`). Sticky composer, live streaming with OSC-52 clipboard support, stable picker keys, status bar with per-turn stopwatch and git branch, `/clear` confirm, light-theme preset, and a subagent spawn observability overlay. ~310 commits to `ui-tui/` + `tui_gateway/`. (@OutThisLife + Teknium)
- **Transport ABC + Native AWS Bedrock** — Format conversion and HTTP transport were extracted from `run_agent.py` into a pluggable `agent/transports/` layer. `AnthropicTransport`, `ChatCompletionsTransport`, `ResponsesApiTransport`, and `BedrockTransport` each own their own format conversion and API shape. Native AWS Bedrock support via the Converse API ships on top of the new abstraction. ([#10549](https://github.com/NousResearch/hermes-agent/pull/10549), [#13347](https://github.com/NousResearch/hermes-agent/pull/13347), [#13366](https://github.com/NousResearch/hermes-agent/pull/13366), [#13430](https://github.com/NousResearch/hermes-agent/pull/13430), [#13805](https://github.com/NousResearch/hermes-agent/pull/13805), [#13814](https://github.com/NousResearch/hermes-agent/pull/13814) — @kshitijk4poor + Teknium)
- **Five new inference paths** — Native NVIDIA NIM ([#11774](https://github.com/NousResearch/hermes-agent/pull/11774)), Arcee AI ([#9276](https://github.com/NousResearch/hermes-agent/pull/9276)), Step Plan ([#13893](https://github.com/NousResearch/hermes-agent/pull/13893)), Google Gemini CLI OAuth ([#11270](https://github.com/NousResearch/hermes-agent/pull/11270)), and Vercel ai-gateway with pricing + dynamic discovery ([#13223](https://github.com/NousResearch/hermes-agent/pull/13223) — @jerilynzheng). Plus Gemini routed through the native AI Studio API for better performance ([#12674](https://github.com/NousResearch/hermes-agent/pull/12674)).
- **GPT-5.5 over Codex OAuth** — OpenAI's new GPT-5.5 reasoning model is now available through your ChatGPT Codex OAuth, with live model discovery wired into the model picker so new OpenAI releases show up without catalog updates. ([#14720](https://github.com/NousResearch/hermes-agent/pull/14720))
- **QQBot — 17th supported platform** — Native QQBot adapter via QQ Official API v2, with QR scan-to-configure setup wizard, streaming cursor, emoji reactions, and DM/group policy gating that matches WeCom/Weixin parity. ([#9364](https://github.com/NousResearch/hermes-agent/pull/9364), [#11831](https://github.com/NousResearch/hermes-agent/pull/11831))
- **Plugin surface expanded** — Plugins can now register slash commands (`register_command`), dispatch tools directly (`dispatch_tool`), block tool execution from hooks (`pre_tool_call` can veto), rewrite tool results (`transform_tool_result`), transform terminal output (`transform_terminal_output`), ship image_gen backends, and add custom dashboard tabs. The bundled disk-cleanup plugin is opt-in by default as a reference implementation. ([#9377](https://github.com/NousResearch/hermes-agent/pull/9377), [#10626](https://github.com/NousResearch/hermes-agent/pull/10626), [#10763](https://github.com/NousResearch/hermes-agent/pull/10763), [#10951](https://github.com/NousResearch/hermes-agent/pull/10951), [#12929](https://github.com/NousResearch/hermes-agent/pull/12929), [#12944](https://github.com/NousResearch/hermes-agent/pull/12944), [#12972](https://github.com/NousResearch/hermes-agent/pull/12972), [#13799](https://github.com/NousResearch/hermes-agent/pull/13799), [#14175](https://github.com/NousResearch/hermes-agent/pull/14175))
- **`/steer` — mid-run agent nudges** — `/steer <prompt>` injects a note that the running agent sees after its next tool call, without interrupting the turn or breaking prompt cache. For when you want to course-correct an agent in-flight. ([#12116](https://github.com/NousResearch/hermes-agent/pull/12116))
- **Shell hooks** — Wire any shell script as a Hermes lifecycle hook (pre_tool_call, post_tool_call, on_session_start, etc.) without writing a Python plugin. ([#13296](https://github.com/NousResearch/hermes-agent/pull/13296))
- **Webhook direct-delivery mode** — Webhook subscriptions can now forward payloads straight to a platform chat without going through the agent — zero-LLM push notifications for alerting, uptime checks, and event streams. ([#12473](https://github.com/NousResearch/hermes-agent/pull/12473))
- **Smarter delegation** — Subagents now have an explicit `orchestrator` role that can spawn their own workers, with configurable `max_spawn_depth` (default flat). Concurrent sibling subagents share filesystem state through a file-coordination layer so they don't clobber each other's edits. ([#13691](https://github.com/NousResearch/hermes-agent/pull/13691), [#13718](https://github.com/NousResearch/hermes-agent/pull/13718))
- **Auxiliary models — configurable UI + main-model-first** — `hermes model` has a dedicated "Configure auxiliary models" screen for per-task overrides (compression, vision, session_search, title_generation). `auto` routing now defaults to the main model for side tasks across all users (previously aggregator users were silently routed to a cheap provider-side default). ([#11891](https://github.com/NousResearch/hermes-agent/pull/11891), [#11900](https://github.com/NousResearch/hermes-agent/pull/11900))
- **Dashboard plugin system + live theme switching** — The web dashboard is now extensible. Third-party plugins can add custom tabs, widgets, and views without forking. Paired with a live-switching theme system — themes now control colors, fonts, layout, and density — so users can hot-swap the dashboard look without a reload. Same theming discipline the CLI has, now on the web. ([#10951](https://github.com/NousResearch/hermes-agent/pull/10951), [#10687](https://github.com/NousResearch/hermes-agent/pull/10687), [#14725](https://github.com/NousResearch/hermes-agent/pull/14725))
- **Dashboard polish** — i18n (English + Chinese), react-router sidebar layout, mobile-responsive, Vercel deployment, real per-session API call tracking, and one-click update + gateway restart buttons. ([#9228](https://github.com/NousResearch/hermes-agent/pull/9228), [#9370](https://github.com/NousResearch/hermes-agent/pull/9370), [#9453](https://github.com/NousResearch/hermes-agent/pull/9453), [#10686](https://github.com/NousResearch/hermes-agent/pull/10686), [#13526](https://github.com/NousResearch/hermes-agent/pull/13526), [#14004](https://github.com/NousResearch/hermes-agent/pull/14004) — @austinpickett + @DeployFaith + Teknium)
---
## 🏗️ Core Agent & Architecture
### Transport Layer (NEW)
- **Transport ABC** abstracts format conversion and HTTP transport from `run_agent.py` into `agent/transports/` ([#13347](https://github.com/NousResearch/hermes-agent/pull/13347))
- **AnthropicTransport** — Anthropic Messages API path ([#13366](https://github.com/NousResearch/hermes-agent/pull/13366), @kshitijk4poor)
- **ChatCompletionsTransport** — default path for OpenAI-compatible providers ([#13805](https://github.com/NousResearch/hermes-agent/pull/13805))
- **ResponsesApiTransport** — OpenAI Responses API + Codex build_kwargs wiring ([#13430](https://github.com/NousResearch/hermes-agent/pull/13430), @kshitijk4poor)
- **BedrockTransport** — AWS Bedrock Converse API transport ([#13814](https://github.com/NousResearch/hermes-agent/pull/13814))
### Provider & Model Support
- **Native AWS Bedrock provider** via Converse API ([#10549](https://github.com/NousResearch/hermes-agent/pull/10549))
- **NVIDIA NIM native provider** (salvage of #11703) ([#11774](https://github.com/NousResearch/hermes-agent/pull/11774))
- **Arcee AI direct provider** ([#9276](https://github.com/NousResearch/hermes-agent/pull/9276))
- **Step Plan provider** (salvage #6005) ([#13893](https://github.com/NousResearch/hermes-agent/pull/13893), @kshitijk4poor)
- **Google Gemini CLI OAuth** inference provider ([#11270](https://github.com/NousResearch/hermes-agent/pull/11270))
- **Vercel ai-gateway** with pricing, attribution, and dynamic discovery ([#13223](https://github.com/NousResearch/hermes-agent/pull/13223), @jerilynzheng)
- **GPT-5.5 over Codex OAuth** with live model discovery in the picker ([#14720](https://github.com/NousResearch/hermes-agent/pull/14720))
- **Gemini routed through native AI Studio API** ([#12674](https://github.com/NousResearch/hermes-agent/pull/12674))
- **xAI Grok upgraded to Responses API** ([#10783](https://github.com/NousResearch/hermes-agent/pull/10783))
- **Ollama improvements** — Cloud provider support, GLM continuation, `think=false` control, surrogate sanitization, `/v1` hint ([#10782](https://github.com/NousResearch/hermes-agent/pull/10782))
- **Kimi K2.6** across OpenRouter, Nous Portal, native Kimi, and HuggingFace ([#13148](https://github.com/NousResearch/hermes-agent/pull/13148), [#13152](https://github.com/NousResearch/hermes-agent/pull/13152), [#13169](https://github.com/NousResearch/hermes-agent/pull/13169))
- **Kimi K2.5** promoted to first position in all model suggestion lists ([#11745](https://github.com/NousResearch/hermes-agent/pull/11745), @kshitijk4poor)
- **Xiaomi MiMo v2.5-pro + v2.5** on OpenRouter, Nous Portal, and native ([#14184](https://github.com/NousResearch/hermes-agent/pull/14184), [#14635](https://github.com/NousResearch/hermes-agent/pull/14635), @kshitijk4poor)
- **GLM-5V-Turbo** for coding plan ([#9907](https://github.com/NousResearch/hermes-agent/pull/9907))
- **Claude Opus 4.7** in Nous Portal catalog ([#11398](https://github.com/NousResearch/hermes-agent/pull/11398))
- **OpenRouter elephant-alpha** in curated lists ([#9378](https://github.com/NousResearch/hermes-agent/pull/9378))
- **OpenCode-Go** — Kimi K2.6 and Qwen3.5/3.6 Plus in curated catalog ([#13429](https://github.com/NousResearch/hermes-agent/pull/13429))
- **minimax/minimax-m2.5:free** in OpenRouter catalog ([#13836](https://github.com/NousResearch/hermes-agent/pull/13836))
- **`/model` merges models.dev entries** for lesser-loved providers ([#14221](https://github.com/NousResearch/hermes-agent/pull/14221))
- **Per-provider + per-model `request_timeout_seconds`** config ([#12652](https://github.com/NousResearch/hermes-agent/pull/12652))
- **Configurable API retry count** via `agent.api_max_retries` ([#14730](https://github.com/NousResearch/hermes-agent/pull/14730))
- **ctx_size context length key** for Lemonade server (salvage #8536) ([#14215](https://github.com/NousResearch/hermes-agent/pull/14215))
- **Custom provider display name prompt** ([#9420](https://github.com/NousResearch/hermes-agent/pull/9420))
- **Recommendation badges** on tool provider selection ([#9929](https://github.com/NousResearch/hermes-agent/pull/9929))
- Fix: correct GPT-5 family context lengths in fallback defaults ([#9309](https://github.com/NousResearch/hermes-agent/pull/9309))
- Fix: clamp `minimal` reasoning effort to `low` on Responses API ([#9429](https://github.com/NousResearch/hermes-agent/pull/9429))
- Fix: strip reasoning item IDs from Responses API input when `store=False` ([#10217](https://github.com/NousResearch/hermes-agent/pull/10217))
- Fix: OpenViking correct account default + commit session on `/new` and compress ([#10463](https://github.com/NousResearch/hermes-agent/pull/10463))
- Fix: Kimi `/coding` thinking block survival + empty reasoning_content + block ordering (multiple PRs)
- Fix: don't send Anthropic thinking to api.kimi.com/coding ([#13826](https://github.com/NousResearch/hermes-agent/pull/13826))
- Fix: send `max_tokens`, `reasoning_effort`, and `thinking` for Kimi/Moonshot
- Fix: stream reasoning content through OpenAI-compatible providers that emit it
### Agent Loop & Conversation
- **`/steer <prompt>`** — mid-run agent nudges after next tool call ([#12116](https://github.com/NousResearch/hermes-agent/pull/12116))
- **Orchestrator role + configurable spawn depth** for `delegate_task` (default flat) ([#13691](https://github.com/NousResearch/hermes-agent/pull/13691))
- **Cross-agent file state coordination** for concurrent subagents ([#13718](https://github.com/NousResearch/hermes-agent/pull/13718))
- **Compressor smart collapse, dedup, anti-thrashing**, template upgrade, hardening ([#10088](https://github.com/NousResearch/hermes-agent/pull/10088))
- **Compression summaries respect the conversation's language** ([#12556](https://github.com/NousResearch/hermes-agent/pull/12556))
- **Compression model falls back to main model** on permanent 503/404 ([#10093](https://github.com/NousResearch/hermes-agent/pull/10093))
- **Auto-continue interrupted agent work** after gateway restart ([#9934](https://github.com/NousResearch/hermes-agent/pull/9934))
- **Activity heartbeats** prevent false gateway inactivity timeouts ([#10501](https://github.com/NousResearch/hermes-agent/pull/10501))
- **Auxiliary models UI** — dedicated screen for per-task overrides ([#11891](https://github.com/NousResearch/hermes-agent/pull/11891))
- **Auxiliary auto routing defaults to main model** for all users ([#11900](https://github.com/NousResearch/hermes-agent/pull/11900))
- **PLATFORM_HINTS for Matrix, Mattermost, Feishu** ([#14428](https://github.com/NousResearch/hermes-agent/pull/14428), @alt-glitch)
- Fix: reset retry counters after compression; stop poisoning conversation history ([#10055](https://github.com/NousResearch/hermes-agent/pull/10055))
- Fix: break compression-exhaustion infinite loop and auto-reset session ([#10063](https://github.com/NousResearch/hermes-agent/pull/10063))
- Fix: stale agent timeout, uv venv detection, empty response after tools ([#10065](https://github.com/NousResearch/hermes-agent/pull/10065))
- Fix: prevent premature loop exit when weak models return empty after substantive tool calls ([#10472](https://github.com/NousResearch/hermes-agent/pull/10472))
- Fix: preserve pre-start terminal interrupts ([#10504](https://github.com/NousResearch/hermes-agent/pull/10504))
- Fix: improve interrupt responsiveness during concurrent tool execution ([#10935](https://github.com/NousResearch/hermes-agent/pull/10935))
- Fix: word-wrap spinner, interruptable agent join, and delegate_task interrupt ([#10940](https://github.com/NousResearch/hermes-agent/pull/10940))
- Fix: `/stop` no longer resets the session ([#9224](https://github.com/NousResearch/hermes-agent/pull/9224))
- Fix: honor interrupts during MCP tool waits ([#9382](https://github.com/NousResearch/hermes-agent/pull/9382), @helix4u)
- Fix: break stuck session resume loops after repeated restarts ([#9941](https://github.com/NousResearch/hermes-agent/pull/9941))
- Fix: empty response nudge crash + placeholder leak to cron targets ([#11021](https://github.com/NousResearch/hermes-agent/pull/11021))
- Fix: streaming cursor sanitization to prevent message truncation (multiple PRs)
- Fix: resolve `context_length` for plugin context engines ([#9238](https://github.com/NousResearch/hermes-agent/pull/9238))
### Session & Memory
- **Auto-prune old sessions + VACUUM state.db** at startup ([#13861](https://github.com/NousResearch/hermes-agent/pull/13861))
- **Honcho overhaul** — context injection, 5-tool surface, cost safety, session isolation ([#10619](https://github.com/NousResearch/hermes-agent/pull/10619))
- **Hindsight richer session-scoped retain metadata** (salvage of #6290) ([#13987](https://github.com/NousResearch/hermes-agent/pull/13987))
- Fix: deduplicate memory provider tools to prevent 400 on strict providers ([#10511](https://github.com/NousResearch/hermes-agent/pull/10511))
- Fix: discover user-installed memory providers from `$HERMES_HOME/plugins/` ([#10529](https://github.com/NousResearch/hermes-agent/pull/10529))
- Fix: add `on_memory_write` bridge to sequential tool execution path ([#10507](https://github.com/NousResearch/hermes-agent/pull/10507))
- Fix: preserve `session_id` across `previous_response_id` chains in `/v1/responses` ([#10059](https://github.com/NousResearch/hermes-agent/pull/10059))
---
## 🖥️ New Ink-based TUI
A full React/Ink rewrite of the interactive CLI — invoked via `hermes --tui` or `HERMES_TUI=1`. Shipped across ~310 commits to `ui-tui/` and `tui_gateway/`.
### TUI Foundations
- New TUI based on Ink + Python JSON-RPC backend
- Prettier + ESLint + vitest tooling for `ui-tui/`
- Entry split between `src/entry.tsx` (TTY gate) and `src/app.tsx` (state machine)
- Persistent `_SlashWorker` subprocess for slash command dispatch
### UX & Features
- **Stable picker keys, /clear confirm, light-theme preset** ([#12312](https://github.com/NousResearch/hermes-agent/pull/12312), @OutThisLife)
- **Git branch in status bar** cwd label ([#12305](https://github.com/NousResearch/hermes-agent/pull/12305), @OutThisLife)
- **Per-turn elapsed stopwatch in FaceTicker + done-in sys line** ([#13105](https://github.com/NousResearch/hermes-agent/pull/13105), @OutThisLife)
- **Subagent spawn observability overlay** ([#14045](https://github.com/NousResearch/hermes-agent/pull/14045), @OutThisLife)
- **Per-prompt elapsed stopwatch in status bar** ([#12948](https://github.com/NousResearch/hermes-agent/pull/12948))
- Sticky composer that freezes during scroll
- OSC-52 clipboard support for copy across SSH sessions
- Virtualized history rendering for performance
- Slash command autocomplete via `complete.slash` RPC
- Path autocomplete via `complete.path` RPC
- Dozens of resize/ghosting/sticky-prompt fixes landed through the week
### Structural Refactors
- Decomposed `app.tsx` into `app/event-handler`, `app/slash-handler`, `app/stores`, `app/hooks` ([#14640](https://github.com/NousResearch/hermes-agent/pull/14640) and surrounding)
- Component split: `branding.tsx`, `markdown.tsx`, `prompts.tsx`, `sessionPicker.tsx`, `messageLine.tsx`, `thinking.tsx`, `maskedPrompt.tsx`
- Hook split: `useCompletion`, `useInputHistory`, `useQueue`, `useVirtualHistory`
---
## 📱 Messaging Platforms (Gateway)
### New Platforms
- **QQBot (17th platform)** — QQ Official API v2 adapter with QR setup, streaming, package split ([#9364](https://github.com/NousResearch/hermes-agent/pull/9364), [#11831](https://github.com/NousResearch/hermes-agent/pull/11831))
### Telegram
- **Dedicated `TELEGRAM_PROXY` env var + config.yaml proxy support** (closes #9414, #6530, #9074, #7786) ([#10681](https://github.com/NousResearch/hermes-agent/pull/10681))
- **`ignored_threads` config** for Telegram groups ([#9530](https://github.com/NousResearch/hermes-agent/pull/9530))
- **Config option to disable link previews** (closes #8728) ([#10610](https://github.com/NousResearch/hermes-agent/pull/10610))
- **Auto-wrap markdown tables** in code blocks ([#11794](https://github.com/NousResearch/hermes-agent/pull/11794))
- Fix: prevent duplicate replies when stream task is cancelled ([#9319](https://github.com/NousResearch/hermes-agent/pull/9319))
- Fix: prevent streaming cursor (▉) from appearing as standalone messages ([#9538](https://github.com/NousResearch/hermes-agent/pull/9538))
- Fix: retry transient tool sends + cold-boot budget ([#10947](https://github.com/NousResearch/hermes-agent/pull/10947))
- Fix: Markdown special char escaping in `send_exec_approval`
- Fix: parentheses in URLs during MarkdownV2 link conversion
- Fix: Unicode dash normalization in model switch (closes iOS smart-punctuation issue)
- Many platform hint / streaming / session-key fixes
### Discord
- **Forum channel support** (salvage of #10145 + media + polish) ([#11920](https://github.com/NousResearch/hermes-agent/pull/11920))
- **`DISCORD_ALLOWED_ROLES`** for role-based access control ([#11608](https://github.com/NousResearch/hermes-agent/pull/11608))
- **Config option to disable slash commands** (salvage #13130) ([#14315](https://github.com/NousResearch/hermes-agent/pull/14315))
- **Native `send_animation`** for inline GIF playback ([#10283](https://github.com/NousResearch/hermes-agent/pull/10283))
- **`send_message` Discord media attachments** ([#10246](https://github.com/NousResearch/hermes-agent/pull/10246))
- **`/skill` command group** with category subcommands ([#9909](https://github.com/NousResearch/hermes-agent/pull/9909))
- **Extract reply text from message references** ([#9781](https://github.com/NousResearch/hermes-agent/pull/9781))
### Feishu
- **Intelligent reply on document comments** with 3-tier access control ([#11898](https://github.com/NousResearch/hermes-agent/pull/11898))
- **Show processing state via reactions** on user messages ([#12927](https://github.com/NousResearch/hermes-agent/pull/12927))
- **Preserve @mention context for agent consumption** (salvage #13874) ([#14167](https://github.com/NousResearch/hermes-agent/pull/14167))
### DingTalk
- **`require_mention` + `allowed_users` gating** (parity with Slack/Telegram/Discord) ([#11564](https://github.com/NousResearch/hermes-agent/pull/11564))
- **QR-code device-flow authorization** for setup wizard ([#11574](https://github.com/NousResearch/hermes-agent/pull/11574))
- **AI Cards streaming, emoji reactions, and media handling** (salvage of #10985) ([#11910](https://github.com/NousResearch/hermes-agent/pull/11910))
### WhatsApp
- **`send_voice`** — native audio message delivery ([#13002](https://github.com/NousResearch/hermes-agent/pull/13002))
- **`dm_policy` and `group_policy`** parity with WeCom/Weixin/QQ adapters ([#13151](https://github.com/NousResearch/hermes-agent/pull/13151))
### WeCom / Weixin
- **WeCom QR-scan bot creation + interactive setup wizard** (salvage #13923) ([#13961](https://github.com/NousResearch/hermes-agent/pull/13961))
### Signal
- **Media delivery support** via `send_message` ([#13178](https://github.com/NousResearch/hermes-agent/pull/13178))
### Slack
- **Per-thread sessions for DMs by default** ([#10987](https://github.com/NousResearch/hermes-agent/pull/10987))
### BlueBubbles (iMessage)
- Group chat session separation, webhook registration & auth fixes ([#9806](https://github.com/NousResearch/hermes-agent/pull/9806))
### Gateway Core
- **Gateway proxy mode** — forward messages to a remote API server ([#9787](https://github.com/NousResearch/hermes-agent/pull/9787))
- **Per-channel ephemeral prompts** (Discord, Telegram, Slack, Mattermost) ([#10564](https://github.com/NousResearch/hermes-agent/pull/10564))
- **Surface plugin slash commands** natively on all platforms + decision-capable command hook ([#14175](https://github.com/NousResearch/hermes-agent/pull/14175))
- **Support document/archive extensions in MEDIA: tag extraction** (salvage #8255) ([#14307](https://github.com/NousResearch/hermes-agent/pull/14307))
- **Recognize `.pdf` in MEDIA: tag extraction** ([#13683](https://github.com/NousResearch/hermes-agent/pull/13683))
- **`--all` flag for `gateway start` and `restart`** ([#10043](https://github.com/NousResearch/hermes-agent/pull/10043))
- **Notify active sessions on gateway shutdown** + update health check ([#9850](https://github.com/NousResearch/hermes-agent/pull/9850))
- **Block agent from self-destructing the gateway** via terminal (closes #6666) ([#9895](https://github.com/NousResearch/hermes-agent/pull/9895))
- Fix: suppress duplicate replies on interrupt and streaming flood control ([#10235](https://github.com/NousResearch/hermes-agent/pull/10235))
- Fix: close temporary agents after one-off tasks ([#11028](https://github.com/NousResearch/hermes-agent/pull/11028), @kshitijk4poor)
- Fix: busy-session ack when user messages during active agent run ([#10068](https://github.com/NousResearch/hermes-agent/pull/10068))
- Fix: route watch-pattern notifications to the originating session ([#10460](https://github.com/NousResearch/hermes-agent/pull/10460))
- Fix: preserve notify context in executor threads ([#10921](https://github.com/NousResearch/hermes-agent/pull/10921), @kshitijk4poor)
- Fix: avoid duplicate replies after interrupted long tasks ([#11018](https://github.com/NousResearch/hermes-agent/pull/11018))
- Fix: unlink stale PID + lock files on cleanup
- Fix: force-unlink stale PID file after `--replace` takeover
---
## 🔧 Tool System
### Plugin Surface (major expansion)
- **`register_command()`** — plugins can now add slash commands ([#10626](https://github.com/NousResearch/hermes-agent/pull/10626))
- **`dispatch_tool()`** — plugins can invoke tools from their code ([#10763](https://github.com/NousResearch/hermes-agent/pull/10763))
- **`pre_tool_call` blocking** — plugins can veto tool execution ([#9377](https://github.com/NousResearch/hermes-agent/pull/9377))
- **`transform_tool_result`** — plugins rewrite tool results generically ([#12972](https://github.com/NousResearch/hermes-agent/pull/12972))
- **`transform_terminal_output`** — plugins rewrite terminal tool output ([#12929](https://github.com/NousResearch/hermes-agent/pull/12929))
- **Namespaced skill registration** for plugin skill bundles ([#9786](https://github.com/NousResearch/hermes-agent/pull/9786))
- **Opt-in-by-default + bundled disk-cleanup plugin** (salvage #12212) ([#12944](https://github.com/NousResearch/hermes-agent/pull/12944))
- **Pluggable `image_gen` backends + OpenAI provider** ([#13799](https://github.com/NousResearch/hermes-agent/pull/13799))
- **`openai-codex` image_gen plugin** (gpt-image-2 via Codex OAuth) ([#14317](https://github.com/NousResearch/hermes-agent/pull/14317))
- **Shell hooks** — wire shell scripts as hook callbacks ([#13296](https://github.com/NousResearch/hermes-agent/pull/13296))
### Browser
- **`browser_cdp` raw DevTools Protocol passthrough** ([#12369](https://github.com/NousResearch/hermes-agent/pull/12369))
- Camofox hardening + connection stability across the window
### Execute Code
- **Project/strict execution modes** (default: project) ([#11971](https://github.com/NousResearch/hermes-agent/pull/11971))
### Image Generation
- **Multi-model FAL support** with picker in `hermes tools` ([#11265](https://github.com/NousResearch/hermes-agent/pull/11265))
- **Recraft V3 → V4 Pro, Nano Banana → Pro upgrades** ([#11406](https://github.com/NousResearch/hermes-agent/pull/11406))
- **GPT Image 2** in FAL catalog ([#13677](https://github.com/NousResearch/hermes-agent/pull/13677))
- **xAI image generation provider** (grok-imagine-image) ([#14765](https://github.com/NousResearch/hermes-agent/pull/14765))
### TTS / STT / Voice
- **Google Gemini TTS provider** ([#11229](https://github.com/NousResearch/hermes-agent/pull/11229))
- **xAI Grok STT provider** ([#14473](https://github.com/NousResearch/hermes-agent/pull/14473))
- **xAI TTS** (shipped with Responses API upgrade) ([#10783](https://github.com/NousResearch/hermes-agent/pull/10783))
- **KittenTTS local provider** (salvage of #2109) ([#13395](https://github.com/NousResearch/hermes-agent/pull/13395))
- **CLI record beep toggle** ([#13247](https://github.com/NousResearch/hermes-agent/pull/13247), @helix4u)
### Webhook / Cron
- **Webhook direct-delivery mode** — zero-LLM push notifications ([#12473](https://github.com/NousResearch/hermes-agent/pull/12473))
- **Cron `wakeAgent` gate** — scripts can skip the agent entirely ([#12373](https://github.com/NousResearch/hermes-agent/pull/12373))
- **Cron per-job `enabled_toolsets`** — cap token overhead + cost per job ([#14767](https://github.com/NousResearch/hermes-agent/pull/14767))
### Delegate
- **Orchestrator role** + configurable spawn depth (default flat) ([#13691](https://github.com/NousResearch/hermes-agent/pull/13691))
- **Cross-agent file state coordination** ([#13718](https://github.com/NousResearch/hermes-agent/pull/13718))
### File / Patch
- **`patch` — "did you mean?" feedback** when patch fails to match ([#13435](https://github.com/NousResearch/hermes-agent/pull/13435))
### API Server
- **Stream `/v1/responses` SSE tool events** (salvage #9779) ([#10049](https://github.com/NousResearch/hermes-agent/pull/10049))
- **Inline image inputs** on `/v1/chat/completions` and `/v1/responses` ([#12969](https://github.com/NousResearch/hermes-agent/pull/12969))
### Docker / Podman
- **Entry-level Podman support** — `find_docker()` + rootless entrypoint ([#10066](https://github.com/NousResearch/hermes-agent/pull/10066))
- **Add docker-cli to Docker image** (salvage #10096) ([#14232](https://github.com/NousResearch/hermes-agent/pull/14232))
- **File-sync back to host on teardown** (salvage of #8189 + hardening) ([#11291](https://github.com/NousResearch/hermes-agent/pull/11291))
### MCP
- 12 MCP improvements across the window (status, timeout handling, tool-call forwarding, etc.)
---
## 🧩 Skills Ecosystem
### Skill System
- **Namespaced skill registration** for plugin bundles ([#9786](https://github.com/NousResearch/hermes-agent/pull/9786))
- **`hermes skills reset`** to un-stick bundled skills ([#11468](https://github.com/NousResearch/hermes-agent/pull/11468))
- **Skills guard opt-in** — `config.skills.guard_agent_created` (default off) ([#14557](https://github.com/NousResearch/hermes-agent/pull/14557))
- **Bundled skill scripts runnable out of the box** ([#13384](https://github.com/NousResearch/hermes-agent/pull/13384))
- **`xitter` replaced with `xurl`** — the official X API CLI ([#12303](https://github.com/NousResearch/hermes-agent/pull/12303))
- **MiniMax-AI/cli as default skill tap** (salvage #7501) ([#14493](https://github.com/NousResearch/hermes-agent/pull/14493))
- **Fuzzy `@` file completions + mtime sorting** ([#9467](https://github.com/NousResearch/hermes-agent/pull/9467))
### New Skills
- **concept-diagrams** (salvage of #11045, @v1k22) ([#11363](https://github.com/NousResearch/hermes-agent/pull/11363))
- **architecture-diagram** (Cocoon AI port) ([#9906](https://github.com/NousResearch/hermes-agent/pull/9906))
- **pixel-art** with hardware palettes and video animation ([#12663](https://github.com/NousResearch/hermes-agent/pull/12663), [#12725](https://github.com/NousResearch/hermes-agent/pull/12725))
- **baoyu-comic** ([#13257](https://github.com/NousResearch/hermes-agent/pull/13257), @JimLiu)
- **baoyu-infographic** — 21 layouts × 21 styles (salvage #9901) ([#12254](https://github.com/NousResearch/hermes-agent/pull/12254))
- **page-agent** — embed Alibaba's in-page GUI agent in your webapp ([#13976](https://github.com/NousResearch/hermes-agent/pull/13976))
- **fitness-nutrition** optional skill + optional env var support ([#9355](https://github.com/NousResearch/hermes-agent/pull/9355))
- **drug-discovery** — ChEMBL, PubChem, OpenFDA, ADMET ([#9443](https://github.com/NousResearch/hermes-agent/pull/9443))
- **touchdesigner-mcp** (salvage of #10081) ([#12298](https://github.com/NousResearch/hermes-agent/pull/12298))
- **adversarial-ux-test** optional skill (salvage of #2494, @omnissiah-comelse) ([#13425](https://github.com/NousResearch/hermes-agent/pull/13425))
- **maps** — added `guest_house`, `camp_site`, and dual-key bakery lookup ([#13398](https://github.com/NousResearch/hermes-agent/pull/13398))
- **llm-wiki** — port provenance markers, source hashing, and quality signals ([#13700](https://github.com/NousResearch/hermes-agent/pull/13700))
---
## 📊 Web Dashboard
- **i18n (English + Chinese) language switcher** ([#9453](https://github.com/NousResearch/hermes-agent/pull/9453))
- **Live-switching theme system** ([#10687](https://github.com/NousResearch/hermes-agent/pull/10687))
- **Dashboard plugin system** — extend the web UI with custom tabs ([#10951](https://github.com/NousResearch/hermes-agent/pull/10951))
- **react-router, sidebar layout, sticky header, dropdown component** ([#9370](https://github.com/NousResearch/hermes-agent/pull/9370), @austinpickett)
- **Responsive for mobile** ([#9228](https://github.com/NousResearch/hermes-agent/pull/9228), @DeployFaith)
- **Vercel deployment** ([#10686](https://github.com/NousResearch/hermes-agent/pull/10686), [#11061](https://github.com/NousResearch/hermes-agent/pull/11061), @austinpickett)
- **Context window config support** ([#9357](https://github.com/NousResearch/hermes-agent/pull/9357))
- **HTTP health probe for cross-container gateway detection** ([#9894](https://github.com/NousResearch/hermes-agent/pull/9894))
- **Update + restart gateway buttons** ([#13526](https://github.com/NousResearch/hermes-agent/pull/13526), @austinpickett)
- **Real API call count per session** (salvages #10140) ([#14004](https://github.com/NousResearch/hermes-agent/pull/14004))
---
## 🖱️ CLI & User Experience
- **Dynamic shell completion for bash, zsh, and fish** ([#9785](https://github.com/NousResearch/hermes-agent/pull/9785))
- **Light-mode skins + skin-aware completion menus** ([#9461](https://github.com/NousResearch/hermes-agent/pull/9461))
- **Numbered keyboard shortcuts** on approval and clarify prompts ([#13416](https://github.com/NousResearch/hermes-agent/pull/13416))
- **Markdown stripping, compact multiline previews, external editor** ([#12934](https://github.com/NousResearch/hermes-agent/pull/12934))
- **`--ignore-user-config` and `--ignore-rules` flags** (port codex#18646) ([#14277](https://github.com/NousResearch/hermes-agent/pull/14277))
- **Account limits section in `/usage`** ([#13428](https://github.com/NousResearch/hermes-agent/pull/13428))
- **Doctor: Command Installation check** for `hermes` bin symlink ([#10112](https://github.com/NousResearch/hermes-agent/pull/10112))
- **ESC cancels secret/sudo prompts**, clearer skip messaging ([#9902](https://github.com/NousResearch/hermes-agent/pull/9902))
- Fix: agent-facing text uses `display_hermes_home()` instead of hardcoded `~/.hermes` ([#10285](https://github.com/NousResearch/hermes-agent/pull/10285))
- Fix: enforce `config.yaml` as sole CWD source + deprecate `.env` CWD vars + add `hermes memory reset` ([#11029](https://github.com/NousResearch/hermes-agent/pull/11029))
---
## 🔒 Security & Reliability
- **Global toggle to allow private/internal URL resolution** ([#14166](https://github.com/NousResearch/hermes-agent/pull/14166))
- **Block agent from self-destructing the gateway** via terminal (closes #6666) ([#9895](https://github.com/NousResearch/hermes-agent/pull/9895))
- **Telegram callback authorization** on update prompts ([#10536](https://github.com/NousResearch/hermes-agent/pull/10536))
- **SECURITY.md** added ([#10532](https://github.com/NousResearch/hermes-agent/pull/10532), @I3eg1nner)
- **Warn about legacy hermes.service units** during `hermes update` ([#11918](https://github.com/NousResearch/hermes-agent/pull/11918))
- **Complete ASCII-locale UnicodeEncodeError recovery** for `api_messages`/`reasoning_content` (closes #6843) ([#10537](https://github.com/NousResearch/hermes-agent/pull/10537))
- **Prevent stale `os.environ` leak** after `clear_session_vars` ([#10527](https://github.com/NousResearch/hermes-agent/pull/10527))
- **Prevent agent hang when backgrounding processes** via terminal tool ([#10584](https://github.com/NousResearch/hermes-agent/pull/10584))
- Many smaller session-resume, interrupt, streaming, and memory-race fixes throughout the window
---
## 🐛 Notable Bug Fixes
The `fix:` category in this window covers 482 PRs. Highlights:
- Streaming cursor artifacts filtered from Matrix, Telegram, WhatsApp, Discord (multiple PRs)
- `<think>` and `<thought>` blocks filtered from gateway stream consumers ([#9408](https://github.com/NousResearch/hermes-agent/pull/9408))
- Gateway display.streaming root-config override regression ([#9799](https://github.com/NousResearch/hermes-agent/pull/9799))
- Context `session_search` coerces limit to int (prevents TypeError) ([#10522](https://github.com/NousResearch/hermes-agent/pull/10522))
- Memory tool stays available when `fcntl` is unavailable (Windows) ([#9783](https://github.com/NousResearch/hermes-agent/pull/9783))
- Trajectory compressor credentials load from `HERMES_HOME/.env` ([#9632](https://github.com/NousResearch/hermes-agent/pull/9632), @Dusk1e)
- `@_context_completions` no longer crashes on `@` mention ([#9683](https://github.com/NousResearch/hermes-agent/pull/9683), @kshitijk4poor)
- Group session `user_id` no longer treated as `thread_id` in shutdown notifications ([#10546](https://github.com/NousResearch/hermes-agent/pull/10546))
- Telegram `platform_hint` — markdown is supported (closes #8261) ([#10612](https://github.com/NousResearch/hermes-agent/pull/10612))
- Doctor checks for Kimi China credentials fixed
- Streaming: don't suppress final response when commentary message is sent ([#10540](https://github.com/NousResearch/hermes-agent/pull/10540))
- Rapid Telegram follow-ups no longer get cut off
---
## 🧪 Testing & CI
- **Contributor attribution CI check** on PRs ([#9376](https://github.com/NousResearch/hermes-agent/pull/9376))
- Hermetic test parity (`scripts/run_tests.sh`) held across this window
- Test count stabilized post-Transport refactor; CI matrix held green through the transport rollout
---
## 📚 Documentation
- Atropos + wandb links in user guide
- ACP / VS Code / Zed / JetBrains integration docs refresh
- Webhook subscription docs updated for direct-delivery mode
- Plugin author guide expanded for new hooks (`register_command`, `dispatch_tool`, `transform_tool_result`)
- Transport layer developer guide added
- Website removed Discussions link from README
---
## 👥 Contributors
### Core
- **@teknium1** (Teknium)
### Top Community Contributors (by merged PR count)
- **@kshitijk4poor** — 49 PRs · Transport refactor (AnthropicTransport, ResponsesApiTransport), Step Plan provider, Xiaomi MiMo v2.5 support, numerous gateway fixes, promoted Kimi K2.5, @ mention crash fix
- **@OutThisLife** (Brooklyn) — 31 PRs · TUI polish, git branch in status bar, per-turn stopwatch, stable picker keys, `/clear` confirm, light-theme preset, subagent spawn observability overlay
- **@helix4u** — 11 PRs · Voice CLI record beep, MCP tool interrupt handling, assorted stability fixes
- **@austinpickett** — 8 PRs · Dashboard react-router + sidebar + sticky header + dropdown, Vercel deployment, update + restart buttons
- **@alt-glitch** — 8 PRs · PLATFORM_HINTS for Matrix/Mattermost/Feishu, Matrix fixes
- **@ethernet8023** — 3 PRs
- **@benbarclay** — 3 PRs
- **@Aslaaen** — 2 PRs
### Also contributing
@jerilynzheng (ai-gateway pricing), @JimLiu (baoyu-comic skill), @Dusk1e (trajectory compressor credentials), @DeployFaith (mobile-responsive dashboard), @LeonSGP43, @v1k22 (concept-diagrams), @omnissiah-comelse (adversarial-ux-test), @coekfung (Telegram MarkdownV2 expandable blockquotes), @liftaris (TUI provider resolution), @arihantsethia (skill analytics dashboard), @topcheer + @xing8star (QQBot foundation), @kovyrin, @I3eg1nner (SECURITY.md), @PeterBerthelsen, @lengxii, @priveperfumes, @sjz-ks, @cuyua9, @Disaster-Terminator, @leozeli, @LehaoLin, @trevthefoolish, @loongfay, @MrNiceRicee, @WideLee, @bluefishs, @malaiwah, @bobashopcashier, @dsocolobsky, @iamagenius00, @IAvecilla, @aniruddhaadak80, @Es1la, @asheriif, @walli, @jquesnelle (original Tool Gateway work).
### All Contributors (alphabetical)
@0xyg3n, @10ishq, @A-afflatus, @Abnertheforeman, @admin28980, @adybag14-cyber, @akhater, @alexzhu0,
@AllardQuek, @alt-glitch, @aniruddhaadak80, @anna-oake, @anniesurla, @anthhub, @areu01or00, @arihantsethia,
@arthurbr11, @asheriif, @Aslaaen, @Asunfly, @austinpickett, @AviArora02-commits, @AxDSan, @azhengbot, @Bartok9,
@benbarclay, @bennytimz, @bernylinville, @bingo906, @binhnt92, @bkadish, @bluefishs, @bobashopcashier,
@brantzh6, @BrennerSpear, @brianclemens, @briandevans, @brooklynnicholson, @bugkill3r, @buray, @burtenshaw,
@cdanis, @cgarwood82, @ChimingLiu, @chongweiliu, @christopherwoodall, @coekfung, @cola-runner, @corazzione,
@counterposition, @cresslank, @cuyua9, @cypres0099, @danieldoderlein, @davetist, @davidvv, @DeployFaith,
@Dev-Mriganka, @devorun, @dieutx, @Disaster-Terminator, @dodo-reach, @draix, @DrStrangerUJN, @dsocolobsky,
@Dusk1e, @dyxushuai, @elkimek, @elmatadorgh, @emozilla, @entropidelic, @Erosika, @erosika, @Es1la, @etcircle,
@etherman-os, @ethernet8023, @fancydirty, @farion1231, @fatinghenji, @Fatty911, @fengtianyu88, @Feranmi10,
@flobo3, @francip, @fuleinist, @g-guthrie, @GenKoKo, @gianfrancopiana, @gnanam1990, @GuyCui, @haileymarshall,
@haimu0x, @handsdiff, @hansnow, @hedgeho9X, @helix4u, @hengm3467, @HenkDz, @heykb, @hharry11, @HiddenPuppy,
@honghua, @houko, @houziershi, @hsy5571616, @huangke19, @hxp-plus, @Hypn0sis, @I3eg1nner, @iacker,
@iamagenius00, @IAvecilla, @iborazzi, @Ifkellx, @ifrederico, @imink, @isaachuangGMICLOUD, @ismell0992-afk,
@j0sephz, @Jaaneek, @jackjin1997, @JackTheGit, @jaffarkeikei, @jerilynzheng, @JiaDe-Wu, @Jiawen-lee, @JimLiu,
@jinzheng8115, @jneeee, @jplew, @jquesnelle, @Julientalbot, @Junass1, @jvcl, @kagura-agent, @keifergu,
@kevinskysunny, @keyuyuan, @konsisumer, @kovyrin, @kshitijk4poor, @leeyang1990, @LehaoLin, @lengxii,
@LeonSGP43, @leozeli, @li0near, @liftaris, @Lind3ey, @Linux2010, @liujinkun2025, @LLQWQ, @Llugaes, @lmoncany,
@longsizhuo, @lrawnsley, @Lubrsy706, @lumenradley, @luyao618, @lvnilesh, @LVT382009, @m0n5t3r, @Magaav,
@MagicRay1217, @malaiwah, @manuelschipper, @Marvae, @MassiveMassimo, @mavrickdeveloper, @maxchernin, @memosr,
@meng93, @mengjian-github, @MestreY0d4-Uninter, @Mibayy, @MikeFac, @mikewaters, @milkoor, @minorgod,
@MrNiceRicee, @ms-alan, @mvanhorn, @n-WN, @N0nb0at, @Nan93, @NIDNASSER-Abdelmajid, @nish3451, @niyoh120,
@nocoo, @nosleepcassette, @NousResearch, @ogzerber, @omnissiah-comelse, @Only-Code-A, @opriz, @OwenYWT, @pedh,
@pefontana, @PeterBerthelsen, @phpoh, @pinion05, @plgonzalezrx8, @pradeep7127, @priveperfumes,
@projectadmin-dev, @PStarH, @rnijhara, @Roy-oss1, @roytian1217, @RucchiZ, @Ruzzgar, @RyanLee-Dev, @Salt-555,
@Sanjays2402, @sgaofen, @sharziki, @shenuu, @shin4, @SHL0MS, @shushuzn, @sicnuyudidi, @simon-gtcl,
@simon-marcus, @sirEven, @Sisyphus, @sjz-ks, @snreynolds, @Societus, @Somme4096, @sontianye, @sprmn24,
@StefanIsMe, @stephenschoettler, @Swift42, @taeng0204, @taeuk178, @tannerfokkens-maker, @TaroballzChen,
@ten-ltw, @teyrebaz33, @Tianworld, @topcheer, @Tranquil-Flow, @trevthefoolish, @TroyMitchell911, @UNLINEARITY,
@v1k22, @vivganes, @vominh1919, @vrinek, @VTRiot, @WadydX, @walli, @wenhao7, @WhiteWorld, @WideLee, @wujhsu,
@WuTianyi123, @Wysie, @xandersbell, @xiaoqiang243, @xiayh0107, @xinpengdr, @Xowiek, @ycbai, @yeyitech, @ygd58,
@youngDoo, @yudaiyan, @Yukipukii1, @yule975, @yyq4193, @yzx9, @ZaynJarvis, @zhang9w0v5, @zhanggttry,
@zhangxicen, @zhongyueming1121, @zhouxiaoya12, @zons-zhaozhy
Also: @maelrx, @Marco Rutsch, @MaxsolcuCrypto, @Mind-Dragon, @Paul Bergeron, @say8hi, @whitehatjr1001.
---
**Full Changelog**: [v2026.4.13...v2026.4.23](https://github.com/NousResearch/hermes-agent/compare/v2026.4.13...v2026.4.23)
+3 -9
View File
@@ -60,7 +60,7 @@ from acp_adapter.events import (
make_tool_progress_cb,
)
from acp_adapter.permissions import make_approval_callback
from acp_adapter.session import SessionManager, SessionState, _expand_acp_enabled_toolsets
from acp_adapter.session import SessionManager, SessionState
logger = logging.getLogger(__name__)
@@ -287,11 +287,7 @@ class HermesACPAgent(acp.Agent):
try:
from model_tools import get_tool_definitions
enabled_toolsets = _expand_acp_enabled_toolsets(
getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"],
mcp_server_names=[server.name for server in mcp_servers],
)
state.agent.enabled_toolsets = enabled_toolsets
enabled_toolsets = getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"]
disabled_toolsets = getattr(state.agent, "disabled_toolsets", None)
state.agent.tools = get_tool_definitions(
enabled_toolsets=enabled_toolsets,
@@ -758,9 +754,7 @@ class HermesACPAgent(acp.Agent):
def _cmd_tools(self, args: str, state: SessionState) -> str:
try:
from model_tools import get_tool_definitions
toolsets = _expand_acp_enabled_toolsets(
getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"]
)
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."
+1 -28
View File
@@ -106,24 +106,6 @@ def _register_task_cwd(task_id: str, cwd: str) -> None:
logger.debug("Failed to register ACP task cwd override", exc_info=True)
def _expand_acp_enabled_toolsets(
toolsets: List[str] | None = None,
mcp_server_names: List[str] | None = None,
) -> List[str]:
"""Return ACP toolsets plus explicit MCP server toolsets for this session."""
expanded: List[str] = []
for name in list(toolsets or ["hermes-acp"]):
if name and name not in expanded:
expanded.append(name)
for server_name in list(mcp_server_names or []):
toolset_name = f"mcp-{server_name}"
if server_name and toolset_name not in expanded:
expanded.append(toolset_name)
return expanded
def _clear_task_cwd(task_id: str) -> None:
"""Remove task-specific cwd overrides for an ACP session."""
if not task_id:
@@ -555,18 +537,9 @@ class SessionManager:
elif isinstance(model_cfg, str) and model_cfg.strip():
default_model = model_cfg.strip()
configured_mcp_servers = [
name
for name, cfg in (config.get("mcp_servers") or {}).items()
if not isinstance(cfg, dict) or cfg.get("enabled", True) is not False
]
kwargs = {
"platform": "acp",
"enabled_toolsets": _expand_acp_enabled_toolsets(
["hermes-acp"],
mcp_server_names=configured_mcp_servers,
),
"enabled_toolsets": ["hermes-acp"],
"quiet_mode": True,
"session_id": session_id,
"model": model or default_model,
+5 -82
View File
@@ -14,8 +14,6 @@ import copy
import json
import logging
import os
import platform
import subprocess
from pathlib import Path
from hermes_constants import get_hermes_home
@@ -279,9 +277,8 @@ def _is_oauth_token(key: str) -> bool:
Positively identifies Anthropic OAuth tokens by their key format:
- ``sk-ant-`` prefix (but NOT ``sk-ant-api``) → setup tokens, managed keys
- ``eyJ`` prefix → JWTs from the Anthropic OAuth flow
- ``cc-`` prefix → Claude Code OAuth access tokens (from CLAUDE_CODE_OAUTH_TOKEN)
Non-Anthropic keys (MiniMax, Alibaba, etc.) don't match any pattern
Non-Anthropic keys (MiniMax, Alibaba, etc.) don't match either pattern
and correctly return False.
"""
if not key:
@@ -295,9 +292,6 @@ def _is_oauth_token(key: str) -> bool:
# JWTs from Anthropic OAuth flow
if key.startswith("eyJ"):
return True
# Claude Code OAuth access tokens (opaque, from CLAUDE_CODE_OAUTH_TOKEN)
if key.startswith("cc-"):
return True
return False
@@ -363,7 +357,7 @@ def _common_betas_for_base_url(base_url: str | None) -> list[str]:
return _COMMON_BETAS
def build_anthropic_client(api_key: str, base_url: str = None, timeout: float = None):
def build_anthropic_client(api_key: str, base_url: str = None, timeout: Optional[float] = None):
"""Create an Anthropic client, auto-detecting setup-tokens vs API keys.
If *timeout* is provided it overrides the default 900s read timeout. The
@@ -467,72 +461,8 @@ def build_anthropic_bedrock_client(region: str):
)
def _read_claude_code_credentials_from_keychain() -> Optional[Dict[str, Any]]:
"""Read Claude Code OAuth credentials from the macOS Keychain.
Claude Code >=2.1.114 stores credentials in the macOS Keychain under the
service name "Claude Code-credentials" rather than (or in addition to)
the JSON file at ~/.claude/.credentials.json.
The password field contains a JSON string with the same claudeAiOauth
structure as the JSON file.
Returns dict with {accessToken, refreshToken?, expiresAt?} or None.
"""
import platform
import subprocess
if platform.system() != "Darwin":
return None
try:
# Read the "Claude Code-credentials" generic password entry
result = subprocess.run(
["security", "find-generic-password",
"-s", "Claude Code-credentials",
"-w"],
capture_output=True,
text=True,
timeout=5,
)
except (OSError, subprocess.TimeoutExpired):
logger.debug("Keychain: security command not available or timed out")
return None
if result.returncode != 0:
logger.debug("Keychain: no entry found for 'Claude Code-credentials'")
return None
raw = result.stdout.strip()
if not raw:
return None
try:
data = json.loads(raw)
except json.JSONDecodeError:
logger.debug("Keychain: credentials payload is not valid JSON")
return None
oauth_data = data.get("claudeAiOauth")
if oauth_data and isinstance(oauth_data, dict):
access_token = oauth_data.get("accessToken", "")
if access_token:
return {
"accessToken": access_token,
"refreshToken": oauth_data.get("refreshToken", ""),
"expiresAt": oauth_data.get("expiresAt", 0),
"source": "macos_keychain",
}
return None
def read_claude_code_credentials() -> Optional[Dict[str, Any]]:
"""Read refreshable Claude Code OAuth credentials.
Checks two sources in order:
1. macOS Keychain (Darwin only) — "Claude Code-credentials" entry
2. ~/.claude/.credentials.json file
"""Read refreshable Claude Code OAuth credentials from ~/.claude/.credentials.json.
This intentionally excludes ~/.claude.json primaryApiKey. Opencode's
subscription flow is OAuth/setup-token based with refreshable credentials,
@@ -541,12 +471,6 @@ def read_claude_code_credentials() -> Optional[Dict[str, Any]]:
Returns dict with {accessToken, refreshToken?, expiresAt?} or None.
"""
# Try macOS Keychain first (covers Claude Code >=2.1.114)
kc_creds = _read_claude_code_credentials_from_keychain()
if kc_creds:
return kc_creds
# Fall back to JSON file
cred_path = Path.home() / ".claude" / ".credentials.json"
if cred_path.exists():
try:
@@ -717,9 +641,7 @@ def _write_claude_code_credentials(
existing["claudeAiOauth"] = oauth_data
cred_path.parent.mkdir(parents=True, exist_ok=True)
_tmp_cred = cred_path.with_suffix(".tmp")
_tmp_cred.write_text(json.dumps(existing, indent=2), encoding="utf-8")
_tmp_cred.replace(cred_path)
cred_path.write_text(json.dumps(existing, indent=2), encoding="utf-8")
# Restrict permissions (credentials file)
cred_path.chmod(0o600)
except (OSError, IOError) as e:
@@ -1676,3 +1598,4 @@ def build_anthropic_kwargs(
return kwargs
+20 -217
View File
@@ -41,10 +41,13 @@ import threading
import time
from pathlib import Path # noqa: F401 — used by test mocks
from types import SimpleNamespace
from typing import Any, Dict, List, Optional, Tuple
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from openai import OpenAI
if TYPE_CHECKING:
from agent.gemini_native_adapter import GeminiNativeClient
from agent.credential_pool import load_pool
from hermes_cli.config import get_hermes_home
from hermes_constants import OPENROUTER_BASE_URL
@@ -74,12 +77,6 @@ _PROVIDER_ALIASES = {
"minimax_cn": "minimax-cn",
"claude": "anthropic",
"claude-code": "anthropic",
"github": "copilot",
"github-copilot": "copilot",
"github-model": "copilot",
"github-models": "copilot",
"github-copilot-acp": "copilot-acp",
"copilot-acp-agent": "copilot-acp",
}
@@ -95,11 +92,10 @@ def _normalize_aux_provider(provider: Optional[str]) -> str:
if normalized == "main":
# Resolve to the user's actual main provider so named custom providers
# and non-aggregator providers (DeepSeek, Alibaba, etc.) work correctly.
main_prov = (_read_main_provider() or "").strip().lower()
main_prov = _read_main_provider()
if main_prov and main_prov not in ("auto", "main", ""):
normalized = main_prov
else:
return "custom"
return main_prov
return "custom"
return _PROVIDER_ALIASES.get(normalized, normalized)
@@ -158,7 +154,7 @@ _API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
# differs from their main chat model, map it here. The vision auto-detect
# "exotic provider" branch checks this before falling back to the main model.
_PROVIDER_VISION_MODELS: Dict[str, str] = {
"xiaomi": "mimo-v2.5",
"xiaomi": "mimo-v2-omni",
"zai": "glm-5v-turbo",
}
@@ -817,7 +813,11 @@ def _read_codex_access_token() -> Optional[str]:
return None
def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
# TODO(refactor): This function has messy types and duplicated logic (pool vs direct creds).
# Ideal fix: (1) define an AuxiliaryClient Protocol both OpenAI/GeminiNativeClient satisfy,
# (2) return a NamedTuple or dataclass instead of raw tuple, (3) extract the repeated
# Gemini/Kimi/Copilot client-building into a helper.
def _resolve_api_key_provider() -> Tuple[Optional[Union[OpenAI, "GeminiNativeClient"]], Optional[str]]:
"""Try each API-key provider in PROVIDER_REGISTRY order.
Returns (client, model) for the first provider with usable runtime
@@ -923,19 +923,6 @@ def _try_openrouter() -> Tuple[Optional[OpenAI], Optional[str]]:
default_headers=_OR_HEADERS), _OPENROUTER_MODEL
def _describe_openrouter_unavailable() -> str:
"""Return a more precise OpenRouter auth failure reason for logs."""
pool_present, entry = _select_pool_entry("openrouter")
if pool_present:
if entry is None:
return "OpenRouter credential pool has no usable entries (credentials may be exhausted)"
if not _pool_runtime_api_key(entry):
return "OpenRouter credential pool entry is missing a runtime API key"
if not str(os.getenv("OPENROUTER_API_KEY") or "").strip():
return "OPENROUTER_API_KEY not set"
return "no usable OpenRouter credentials found"
def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
# Check cross-session rate limit guard before attempting Nous —
# if another session already recorded a 429, skip Nous entirely
@@ -1349,68 +1336,6 @@ def _is_auth_error(exc: Exception) -> bool:
return "error code: 401" in err_lower or "authenticationerror" in type(exc).__name__.lower()
def _evict_cached_clients(provider: str) -> None:
"""Drop cached auxiliary clients for a provider so fresh creds are used."""
normalized = _normalize_aux_provider(provider)
with _client_cache_lock:
stale_keys = [
key for key in _client_cache
if _normalize_aux_provider(str(key[0])) == normalized
]
for key in stale_keys:
client = _client_cache.get(key, (None, None, None))[0]
if client is not None:
_force_close_async_httpx(client)
try:
close_fn = getattr(client, "close", None)
if callable(close_fn):
close_fn()
except Exception:
pass
_client_cache.pop(key, None)
def _refresh_provider_credentials(provider: str) -> bool:
"""Refresh short-lived credentials for OAuth-backed auxiliary providers."""
normalized = _normalize_aux_provider(provider)
try:
if normalized == "openai-codex":
from hermes_cli.auth import resolve_codex_runtime_credentials
creds = resolve_codex_runtime_credentials(force_refresh=True)
if not str(creds.get("api_key", "") or "").strip():
return False
_evict_cached_clients(normalized)
return True
if normalized == "nous":
from hermes_cli.auth import resolve_nous_runtime_credentials
creds = resolve_nous_runtime_credentials(
min_key_ttl_seconds=max(60, int(os.getenv("HERMES_NOUS_MIN_KEY_TTL_SECONDS", "1800"))),
timeout_seconds=float(os.getenv("HERMES_NOUS_TIMEOUT_SECONDS", "15")),
force_mint=True,
)
if not str(creds.get("api_key", "") or "").strip():
return False
_evict_cached_clients(normalized)
return True
if normalized == "anthropic":
from agent.anthropic_adapter import read_claude_code_credentials, _refresh_oauth_token, resolve_anthropic_token
creds = read_claude_code_credentials()
token = _refresh_oauth_token(creds) if isinstance(creds, dict) and creds.get("refreshToken") else None
if not str(token or "").strip():
token = resolve_anthropic_token()
if not str(token or "").strip():
return False
_evict_cached_clients(normalized)
return True
except Exception as exc:
logger.debug("Auxiliary provider credential refresh failed for %s: %s", normalized, exc)
return False
return False
def _try_payment_fallback(
failed_provider: str,
task: str = None,
@@ -1709,10 +1634,8 @@ def resolve_provider_client(
if provider == "openrouter":
client, default = _try_openrouter()
if client is None:
logger.warning(
"resolve_provider_client: openrouter requested but %s",
_describe_openrouter_unavailable(),
)
logger.warning("resolve_provider_client: openrouter requested "
"but OPENROUTER_API_KEY not set")
return None, None
final_model = _normalize_resolved_model(model or default, provider)
return (_to_async_client(client, final_model) if async_mode
@@ -1805,7 +1728,7 @@ def resolve_provider_client(
"but no endpoint credentials found")
return None, None
# ── Named custom providers (config.yaml providers dict / custom_providers list) ───
# ── Named custom providers (config.yaml custom_providers list) ───
try:
from hermes_cli.runtime_provider import _get_named_custom_provider
custom_entry = _get_named_custom_provider(provider)
@@ -1816,51 +1739,16 @@ def resolve_provider_client(
if not custom_key and custom_key_env:
custom_key = os.getenv(custom_key_env, "").strip()
custom_key = custom_key or "no-key-required"
# An explicit per-task api_mode override (from _resolve_task_provider_model)
# wins; otherwise fall back to what the provider entry declared.
entry_api_mode = (api_mode or custom_entry.get("api_mode") or "").strip()
if custom_base:
final_model = _normalize_resolved_model(
model or custom_entry.get("model") or _read_main_model() or "gpt-4o-mini",
provider,
)
logger.debug(
"resolve_provider_client: named custom provider %r (%s, api_mode=%s)",
provider, final_model, entry_api_mode or "chat_completions")
# anthropic_messages: route through the Anthropic Messages API
# via AnthropicAuxiliaryClient. Mirrors the anonymous-custom
# branch in _try_custom_endpoint(). See #15033.
if entry_api_mode == "anthropic_messages":
try:
from agent.anthropic_adapter import build_anthropic_client
real_client = build_anthropic_client(custom_key, custom_base)
except ImportError:
logger.warning(
"Named custom provider %r declares api_mode="
"anthropic_messages but the anthropic SDK is not "
"installed — falling back to OpenAI-wire.",
provider,
)
client = OpenAI(api_key=custom_key, base_url=custom_base)
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
sync_anthropic = AnthropicAuxiliaryClient(
real_client, final_model, custom_key, custom_base, is_oauth=False,
)
if async_mode:
return AsyncAnthropicAuxiliaryClient(sync_anthropic), final_model
return sync_anthropic, final_model
client = OpenAI(api_key=custom_key, base_url=custom_base)
# codex_responses or inherited auto-detect (via _wrap_if_needed).
# _wrap_if_needed reads the closed-over `api_mode` (the task-level
# override). Named-provider entry api_mode=codex_responses also
# flows through here.
if entry_api_mode == "codex_responses" and not isinstance(
client, CodexAuxiliaryClient
):
client = CodexAuxiliaryClient(client, final_model)
else:
client = _wrap_if_needed(client, final_model, custom_base)
client = _wrap_if_needed(client, final_model, custom_base)
logger.debug(
"resolve_provider_client: named custom provider %r (%s)",
provider, final_model)
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
logger.warning(
@@ -2961,49 +2849,6 @@ def call_llm(
return _validate_llm_response(
refreshed_client.chat.completions.create(**kwargs), task)
# ── Auth refresh retry ───────────────────────────────────────
if (_is_auth_error(first_err)
and resolved_provider not in ("auto", "", None)
and not client_is_nous):
if _refresh_provider_credentials(resolved_provider):
logger.info(
"Auxiliary %s: refreshed %s credentials after auth error, retrying",
task or "call", resolved_provider,
)
retry_client, retry_model = (
resolve_vision_provider_client(
provider=resolved_provider,
model=final_model,
async_mode=False,
)[1:]
if task == "vision"
else _get_cached_client(
resolved_provider,
resolved_model,
base_url=resolved_base_url,
api_key=resolved_api_key,
api_mode=resolved_api_mode,
main_runtime=main_runtime,
)
)
if retry_client is not None:
retry_kwargs = _build_call_kwargs(
resolved_provider,
retry_model or final_model,
messages,
temperature=temperature,
max_tokens=max_tokens,
tools=tools,
timeout=effective_timeout,
extra_body=effective_extra_body,
base_url=resolved_base_url,
)
_retry_base = str(getattr(retry_client, "base_url", "") or "")
if _is_anthropic_compat_endpoint(resolved_provider, _retry_base):
retry_kwargs["messages"] = _convert_openai_images_to_anthropic(retry_kwargs["messages"])
return _validate_llm_response(
retry_client.chat.completions.create(**retry_kwargs), task)
# ── Payment / credit exhaustion fallback ──────────────────────
# When the resolved provider returns 402 or a credit-related error,
# try alternative providers instead of giving up. This handles the
@@ -3224,48 +3069,6 @@ async def async_call_llm(
return _validate_llm_response(
await refreshed_client.chat.completions.create(**kwargs), task)
# ── Auth refresh retry (mirrors sync call_llm) ───────────────
if (_is_auth_error(first_err)
and resolved_provider not in ("auto", "", None)
and not client_is_nous):
if _refresh_provider_credentials(resolved_provider):
logger.info(
"Auxiliary %s (async): refreshed %s credentials after auth error, retrying",
task or "call", resolved_provider,
)
if task == "vision":
_, retry_client, retry_model = resolve_vision_provider_client(
provider=resolved_provider,
model=final_model,
async_mode=True,
)
else:
retry_client, retry_model = _get_cached_client(
resolved_provider,
resolved_model,
async_mode=True,
base_url=resolved_base_url,
api_key=resolved_api_key,
api_mode=resolved_api_mode,
)
if retry_client is not None:
retry_kwargs = _build_call_kwargs(
resolved_provider,
retry_model or final_model,
messages,
temperature=temperature,
max_tokens=max_tokens,
tools=tools,
timeout=effective_timeout,
extra_body=effective_extra_body,
base_url=resolved_base_url,
)
_retry_base = str(getattr(retry_client, "base_url", "") or "")
if _is_anthropic_compat_endpoint(resolved_provider, _retry_base):
retry_kwargs["messages"] = _convert_openai_images_to_anthropic(retry_kwargs["messages"])
return _validate_llm_response(
await retry_client.chat.completions.create(**retry_kwargs), task)
# ── Payment / connection fallback (mirrors sync call_llm) ─────
should_fallback = _is_payment_error(first_err) or _is_connection_error(first_err)
is_auto = resolved_provider in ("auto", "", None)
-15
View File
@@ -1099,21 +1099,6 @@ The user has requested that this compaction PRIORITISE preserving all informatio
return max(cut_idx, head_end + 1)
# ------------------------------------------------------------------
# ContextEngine: manual /compress preflight
# ------------------------------------------------------------------
def has_content_to_compress(self, messages: List[Dict[str, Any]]) -> bool:
"""Return True if there is a non-empty middle region to compact.
Overrides the ABC default so the gateway ``/compress`` guard can
skip the LLM call when the transcript is still entirely inside
the protected head/tail.
"""
compress_start = self._align_boundary_forward(messages, self.protect_first_n)
compress_end = self._find_tail_cut_by_tokens(messages, compress_start)
return compress_start < compress_end
# ------------------------------------------------------------------
# Main compression entry point
# ------------------------------------------------------------------
-22
View File
@@ -78,7 +78,6 @@ class ContextEngine(ABC):
self,
messages: List[Dict[str, Any]],
current_tokens: int = None,
focus_topic: str = None,
) -> List[Dict[str, Any]]:
"""Compact the message list and return the new message list.
@@ -87,12 +86,6 @@ class ContextEngine(ABC):
context budget. The implementation is free to summarize, build a
DAG, or do anything else as long as the returned list is a valid
OpenAI-format message sequence.
Args:
focus_topic: Optional topic string from manual ``/compress <focus>``.
Engines that support guided compression should prioritise
preserving information related to this topic. Engines that
don't support it may simply ignore this argument.
"""
# -- Optional: pre-flight check ----------------------------------------
@@ -105,21 +98,6 @@ class ContextEngine(ABC):
"""
return False
# -- Optional: manual /compress preflight ------------------------------
def has_content_to_compress(self, messages: List[Dict[str, Any]]) -> bool:
"""Quick check: is there anything in ``messages`` that can be compacted?
Used by the gateway ``/compress`` command as a preflight guard
returning False lets the gateway report "nothing to compress yet"
without making an LLM call.
Default returns True (always attempt). Engines with a cheap way
to introspect their own head/tail boundaries should override this
to return False when the transcript is still entirely protected.
"""
return True
# -- Optional: session lifecycle ---------------------------------------
def on_session_start(self, session_id: str, **kwargs) -> None:
-42
View File
@@ -46,47 +46,6 @@ def _resolve_args() -> list[str]:
return shlex.split(raw)
def _resolve_home_dir() -> str:
"""Return a stable HOME for child ACP processes."""
try:
from hermes_constants import get_subprocess_home
profile_home = get_subprocess_home()
if profile_home:
return profile_home
except Exception:
pass
home = os.environ.get("HOME", "").strip()
if home:
return home
expanded = os.path.expanduser("~")
if expanded and expanded != "~":
return expanded
try:
import pwd
resolved = pwd.getpwuid(os.getuid()).pw_dir.strip()
if resolved:
return resolved
except Exception:
pass
# Last resort: /tmp (writable on any POSIX system). Avoids crashing the
# subprocess with no HOME; callers can set HERMES_HOME explicitly if they
# need a different writable dir.
return "/tmp"
def _build_subprocess_env() -> dict[str, str]:
env = os.environ.copy()
env["HOME"] = _resolve_home_dir()
return env
def _jsonrpc_error(message_id: Any, code: int, message: str) -> dict[str, Any]:
return {
"jsonrpc": "2.0",
@@ -423,7 +382,6 @@ class CopilotACPClient:
text=True,
bufsize=1,
cwd=self._acp_cwd,
env=_build_subprocess_env(),
)
except FileNotFoundError as exc:
raise RuntimeError(
+20 -110
View File
@@ -29,6 +29,7 @@ from hermes_cli.auth import (
_save_auth_store,
_save_provider_state,
read_credential_pool,
read_provider_credentials,
write_credential_pool,
)
@@ -321,7 +322,7 @@ def get_custom_provider_pool_key(base_url: str) -> Optional[str]:
def list_custom_pool_providers() -> List[str]:
"""Return all 'custom:*' pool keys that have entries in auth.json."""
pool_data = read_credential_pool(None)
pool_data = read_credential_pool()
return sorted(
key for key in pool_data
if key.startswith(CUSTOM_POOL_PREFIX)
@@ -455,61 +456,6 @@ class CredentialPool:
logger.debug("Failed to sync from credentials file: %s", exc)
return entry
def _sync_nous_entry_from_auth_store(self, entry: PooledCredential) -> PooledCredential:
"""Sync a Nous pool entry from auth.json if tokens differ.
Nous OAuth refresh tokens are single-use. When another process
(e.g. a concurrent cron) refreshes the token via
``resolve_nous_runtime_credentials``, it writes fresh tokens to
auth.json under ``_auth_store_lock``. The pool entry's tokens
become stale. This method detects that and adopts the newer pair,
avoiding a "refresh token reuse" revocation on the Nous Portal.
"""
if self.provider != "nous" or entry.source != "device_code":
return entry
try:
with _auth_store_lock():
auth_store = _load_auth_store()
state = _load_provider_state(auth_store, "nous")
if not state:
return entry
store_refresh = state.get("refresh_token", "")
store_access = state.get("access_token", "")
if store_refresh and store_refresh != entry.refresh_token:
logger.debug(
"Pool entry %s: syncing tokens from auth.json (Nous refresh token changed)",
entry.id,
)
field_updates: Dict[str, Any] = {
"access_token": store_access,
"refresh_token": store_refresh,
"last_status": None,
"last_status_at": None,
"last_error_code": None,
}
if state.get("expires_at"):
field_updates["expires_at"] = state["expires_at"]
if state.get("agent_key"):
field_updates["agent_key"] = state["agent_key"]
if state.get("agent_key_expires_at"):
field_updates["agent_key_expires_at"] = state["agent_key_expires_at"]
if state.get("inference_base_url"):
field_updates["inference_base_url"] = state["inference_base_url"]
extra_updates = dict(entry.extra)
for extra_key in ("obtained_at", "expires_in", "agent_key_id",
"agent_key_expires_in", "agent_key_reused",
"agent_key_obtained_at"):
val = state.get(extra_key)
if val is not None:
extra_updates[extra_key] = val
updated = replace(entry, extra=extra_updates, **field_updates)
self._replace_entry(entry, updated)
self._persist()
return updated
except Exception as exc:
logger.debug("Failed to sync Nous entry from auth.json: %s", exc)
return entry
def _sync_device_code_entry_to_auth_store(self, entry: PooledCredential) -> None:
"""Write refreshed pool entry tokens back to auth.json providers.
@@ -616,9 +562,6 @@ class CredentialPool:
last_refresh=refreshed.get("last_refresh"),
)
elif self.provider == "nous":
synced = self._sync_nous_entry_from_auth_store(entry)
if synced is not entry:
entry = synced
nous_state = {
"access_token": entry.access_token,
"refresh_token": entry.refresh_token,
@@ -693,26 +636,6 @@ class CredentialPool:
# Credentials file had a valid (non-expired) token — use it directly
logger.debug("Credentials file has valid token, using without refresh")
return synced
# For nous: another process may have consumed the refresh token
# between our proactive sync and the HTTP call. Re-sync from
# auth.json and adopt the fresh tokens if available.
if self.provider == "nous":
synced = self._sync_nous_entry_from_auth_store(entry)
if synced.refresh_token != entry.refresh_token:
logger.debug("Nous refresh failed but auth.json has newer tokens — adopting")
updated = replace(
synced,
last_status=STATUS_OK,
last_status_at=None,
last_error_code=None,
last_error_reason=None,
last_error_message=None,
last_error_reset_at=None,
)
self._replace_entry(synced, updated)
self._persist()
self._sync_device_code_entry_to_auth_store(updated)
return updated
self._mark_exhausted(entry, None)
return None
@@ -776,17 +699,6 @@ class CredentialPool:
if synced is not entry:
entry = synced
cleared_any = True
# For nous entries, sync from auth.json before status checks.
# Another process may have successfully refreshed via
# resolve_nous_runtime_credentials(), making this entry's
# exhausted status stale.
if (self.provider == "nous"
and entry.source == "device_code"
and entry.last_status == STATUS_EXHAUSTED):
synced = self._sync_nous_entry_from_auth_store(entry)
if synced is not entry:
entry = synced
cleared_any = True
if entry.last_status == STATUS_EXHAUSTED:
exhausted_until = _exhausted_until(entry)
if exhausted_until is not None and now < exhausted_until:
@@ -828,11 +740,8 @@ class CredentialPool:
if self._strategy == STRATEGY_LEAST_USED and len(available) > 1:
entry = min(available, key=lambda e: e.request_count)
# Increment usage counter so subsequent selections distribute load
updated = replace(entry, request_count=entry.request_count + 1)
self._replace_entry(entry, updated)
self._current_id = entry.id
return updated
return entry
if self._strategy == STRATEGY_ROUND_ROBIN and len(available) > 1:
entry = available[0]
@@ -967,6 +876,20 @@ class CredentialPool:
self._current_id = None
return removed
def remove_entry(self, entry_id: str) -> Optional[PooledCredential]:
for idx, entry in enumerate(self._entries):
if entry.id == entry_id:
removed = self._entries.pop(idx)
self._entries = [
replace(e, priority=new_priority)
for new_priority, e in enumerate(self._entries)
]
self._persist()
if self._current_id == removed.id:
self._current_id = None
return removed
return None
def resolve_target(self, target: Any) -> Tuple[Optional[int], Optional[PooledCredential], Optional[str]]:
raw = str(target or "").strip()
if not raw:
@@ -1148,18 +1071,6 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
"inference_base_url": state.get("inference_base_url"),
"agent_key": state.get("agent_key"),
"agent_key_expires_at": state.get("agent_key_expires_at"),
# Carry the mint/refresh timestamps into the pool so
# freshness-sensitive consumers (self-heal hooks, pool
# pruning by age) can distinguish just-minted credentials
# from stale ones. Without these, fresh device_code
# entries get obtained_at=None and look older than they
# are (#15099).
"obtained_at": state.get("obtained_at"),
"expires_in": state.get("expires_in"),
"agent_key_id": state.get("agent_key_id"),
"agent_key_expires_in": state.get("agent_key_expires_in"),
"agent_key_reused": state.get("agent_key_reused"),
"agent_key_obtained_at": state.get("agent_key_obtained_at"),
"tls": state.get("tls") if isinstance(state.get("tls"), dict) else None,
"label": seeded_label,
},
@@ -1170,10 +1081,9 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
# env vars (COPILOT_GITHUB_TOKEN / GH_TOKEN). They don't live in
# the auth store or credential pool, so we resolve them here.
try:
from hermes_cli.copilot_auth import resolve_copilot_token, get_copilot_api_token
from hermes_cli.copilot_auth import resolve_copilot_token
token, source = resolve_copilot_token()
if token:
api_token = get_copilot_api_token(token)
source_name = "gh_cli" if "gh" in source.lower() else f"env:{source}"
if not _is_suppressed(provider, source_name):
active_sources.add(source_name)
@@ -1185,7 +1095,7 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
{
"source": source_name,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": api_token,
"access_token": token,
"base_url": pconfig.inference_base_url if pconfig else "",
"label": source,
},
@@ -1430,7 +1340,7 @@ def _seed_custom_pool(pool_key: str, entries: List[PooledCredential]) -> Tuple[b
def load_pool(provider: str) -> CredentialPool:
provider = (provider or "").strip().lower()
raw_entries = read_credential_pool(provider)
raw_entries = read_provider_credentials(provider)
entries = [PooledCredential.from_dict(provider, payload) for payload in raw_entries]
if provider.startswith(CUSTOM_POOL_PREFIX):
+1
View File
@@ -729,6 +729,7 @@ class KawaiiSpinner:
time.sleep(0.1)
continue
frame = self.spinner_frames[self.frame_idx % len(self.spinner_frames)]
assert self.start_time is not None # start() sets it before thread starts
elapsed = time.time() - self.start_time
if wings:
left, right = wings[self.frame_idx % len(wings)]
-55
View File
@@ -45,7 +45,6 @@ class FailoverReason(enum.Enum):
# Model
model_not_found = "model_not_found" # 404 or invalid model — fallback to different model
provider_policy_blocked = "provider_policy_blocked" # Aggregator (e.g. OpenRouter) blocked the only endpoint due to account data/privacy policy
# Request format
format_error = "format_error" # 400 bad request — abort or strip + retry
@@ -195,29 +194,6 @@ _MODEL_NOT_FOUND_PATTERNS = [
"unsupported model",
]
# OpenRouter aggregator policy-block patterns.
#
# When a user's OpenRouter account privacy setting (or a per-request
# `provider.data_collection: deny` preference) excludes the only endpoint
# serving a model, OpenRouter returns 404 with a *specific* message that is
# distinct from "model not found":
#
# "No endpoints available matching your guardrail restrictions and
# data policy. Configure: https://openrouter.ai/settings/privacy"
#
# We classify this as `provider_policy_blocked` rather than
# `model_not_found` because:
# - The model *exists* — model_not_found is misleading in logs
# - Provider fallback won't help: the account-level setting applies to
# every call on the same OpenRouter account
# - The error body already contains the fix URL, so the user gets
# actionable guidance without us rewriting the message
_PROVIDER_POLICY_BLOCKED_PATTERNS = [
"no endpoints available matching your guardrail",
"no endpoints available matching your data policy",
"no endpoints found matching your data policy",
]
# Auth patterns (non-status-code signals)
_AUTH_PATTERNS = [
"invalid api key",
@@ -343,11 +319,6 @@ def classify_api_error(
"""
status_code = _extract_status_code(error)
error_type = type(error).__name__
# Copilot/GitHub Models RateLimitError may not set .status_code; force 429
# so downstream rate-limit handling (classifier reason, pool rotation,
# fallback gating) fires correctly instead of misclassifying as generic.
if status_code is None and error_type == "RateLimitError":
status_code = 429
body = _extract_error_body(error)
error_code = _extract_error_code(body)
@@ -552,17 +523,6 @@ def _classify_by_status(
return _classify_402(error_msg, result_fn)
if status_code == 404:
# OpenRouter policy-block 404 — distinct from "model not found".
# The model exists; the user's account privacy setting excludes the
# only endpoint serving it. Falling back to another provider won't
# help (same account setting applies). The error body already
# contains the fix URL, so just surface it.
if any(p in error_msg for p in _PROVIDER_POLICY_BLOCKED_PATTERNS):
return result_fn(
FailoverReason.provider_policy_blocked,
retryable=False,
should_fallback=False,
)
if any(p in error_msg for p in _MODEL_NOT_FOUND_PATTERNS):
return result_fn(
FailoverReason.model_not_found,
@@ -680,12 +640,6 @@ def _classify_400(
)
# Some providers return model-not-found as 400 instead of 404 (e.g. OpenRouter).
if any(p in error_msg for p in _PROVIDER_POLICY_BLOCKED_PATTERNS):
return result_fn(
FailoverReason.provider_policy_blocked,
retryable=False,
should_fallback=False,
)
if any(p in error_msg for p in _MODEL_NOT_FOUND_PATTERNS):
return result_fn(
FailoverReason.model_not_found,
@@ -858,15 +812,6 @@ def _classify_by_message(
should_fallback=True,
)
# Provider policy-block (aggregator-side guardrail) — check before
# model_not_found so we don't mis-label as a missing model.
if any(p in error_msg for p in _PROVIDER_POLICY_BLOCKED_PATTERNS):
return result_fn(
FailoverReason.provider_policy_blocked,
retryable=False,
should_fallback=False,
)
# Model not found patterns
if any(p in error_msg for p in _MODEL_NOT_FOUND_PATTERNS):
return result_fn(
-104
View File
@@ -44,97 +44,6 @@ def is_native_gemini_base_url(base_url: str) -> bool:
return not normalized.endswith("/openai")
def probe_gemini_tier(
api_key: str,
base_url: str = DEFAULT_GEMINI_BASE_URL,
*,
model: str = "gemini-2.5-flash",
timeout: float = 10.0,
) -> str:
"""Probe a Google AI Studio API key and return its tier.
Returns one of:
- ``"free"`` -- key is on the free tier (unusable with Hermes)
- ``"paid"`` -- key is on a paid tier
- ``"unknown"`` -- probe failed; callers should proceed without blocking.
"""
key = (api_key or "").strip()
if not key:
return "unknown"
normalized_base = str(base_url or DEFAULT_GEMINI_BASE_URL).strip().rstrip("/")
if not normalized_base:
normalized_base = DEFAULT_GEMINI_BASE_URL
if normalized_base.lower().endswith("/openai"):
normalized_base = normalized_base[: -len("/openai")]
url = f"{normalized_base}/models/{model}:generateContent"
payload = {
"contents": [{"role": "user", "parts": [{"text": "hi"}]}],
"generationConfig": {"maxOutputTokens": 1},
}
try:
with httpx.Client(timeout=timeout) as client:
resp = client.post(
url,
params={"key": key},
json=payload,
headers={"Content-Type": "application/json"},
)
except Exception as exc:
logger.debug("probe_gemini_tier: network error: %s", exc)
return "unknown"
headers_lower = {k.lower(): v for k, v in resp.headers.items()}
rpd_header = headers_lower.get("x-ratelimit-limit-requests-per-day")
if rpd_header:
try:
rpd_val = int(rpd_header)
except (TypeError, ValueError):
rpd_val = None
# Published free-tier daily caps (Dec 2025):
# gemini-2.5-pro: 100, gemini-2.5-flash: 250, flash-lite: 1000
# Tier 1 starts at ~1500+ for Flash. We treat <= 1000 as free.
if rpd_val is not None and rpd_val <= 1000:
return "free"
if rpd_val is not None and rpd_val > 1000:
return "paid"
if resp.status_code == 429:
body_text = ""
try:
body_text = resp.text or ""
except Exception:
body_text = ""
if "free_tier" in body_text.lower():
return "free"
return "paid"
if 200 <= resp.status_code < 300:
return "paid"
return "unknown"
def is_free_tier_quota_error(error_message: str) -> bool:
"""Return True when a Gemini 429 message indicates free-tier exhaustion."""
if not error_message:
return False
return "free_tier" in error_message.lower()
_FREE_TIER_GUIDANCE = (
"\n\nYour Google API key is on the free tier (<= 250 requests/day for "
"gemini-2.5-flash). Hermes typically makes 3-10 API calls per user turn, "
"so the free tier is exhausted in a handful of messages and cannot sustain "
"an agent session. Enable billing on your Google Cloud project and "
"regenerate the key in a billing-enabled project: "
"https://aistudio.google.com/apikey"
)
class GeminiAPIError(Exception):
"""Error shape compatible with Hermes retry/error classification."""
@@ -741,12 +650,6 @@ def gemini_http_error(response: httpx.Response) -> GeminiAPIError:
else:
message = f"Gemini returned HTTP {status}: {body_text[:500]}"
# Free-tier quota exhaustion -> append actionable guidance so users who
# bypassed the setup wizard (direct GOOGLE_API_KEY in .env) still learn
# that the free tier cannot sustain an agent session.
if status == 429 and is_free_tier_quota_error(err_message or body_text):
message = message + _FREE_TIER_GUIDANCE
return GeminiAPIError(
message,
code=code,
@@ -801,13 +704,6 @@ class GeminiNativeClient:
http_client: Optional[httpx.Client] = None,
**_: Any,
) -> None:
if not (api_key or "").strip():
raise RuntimeError(
"Gemini native client requires an API key, but none was provided. "
"Set GOOGLE_API_KEY or GEMINI_API_KEY in your environment / ~/.hermes/.env "
"(get one at https://aistudio.google.com/app/apikey), or run `hermes setup` "
"to configure the Google provider."
)
self.api_key = api_key
normalized_base = (base_url or DEFAULT_GEMINI_BASE_URL).rstrip("/")
if normalized_base.endswith("/openai"):
-14
View File
@@ -73,20 +73,6 @@ def sanitize_gemini_schema(schema: Any) -> Dict[str, Any]:
]
continue
cleaned[key] = value
# Gemini's Schema validator requires every ``enum`` entry to be a string,
# even when the parent ``type`` is ``integer`` / ``number`` / ``boolean``.
# OpenAI / OpenRouter / Anthropic accept typed enums (e.g. Discord's
# ``auto_archive_duration: {type: integer, enum: [60, 1440, 4320, 10080]}``),
# so we only drop the ``enum`` when it would collide with Gemini's rule.
# Keeping ``type: integer`` plus the human-readable description gives the
# model enough guidance; the tool handler still validates the value.
enum_val = cleaned.get("enum")
type_val = cleaned.get("type")
if isinstance(enum_val, list) and type_val in {"integer", "number", "boolean"}:
if any(not isinstance(item, str) for item in enum_val):
cleaned.pop("enum", None)
return cleaned
+12 -200
View File
@@ -6,7 +6,6 @@ and run_agent.py for pre-flight context checks.
import ipaddress
import logging
import os
import re
import time
from pathlib import Path
@@ -22,25 +21,6 @@ from hermes_constants import OPENROUTER_MODELS_URL
logger = logging.getLogger(__name__)
def _resolve_requests_verify() -> bool | str:
"""Resolve SSL verify setting for `requests` calls from env vars.
The `requests` library only honours REQUESTS_CA_BUNDLE / CURL_CA_BUNDLE
by default. Hermes also honours HERMES_CA_BUNDLE (its own convention)
and SSL_CERT_FILE (used by the stdlib `ssl` module and by httpx), so
that a single env var can cover both `requests` and `httpx` callsites
inside the same process.
Returns either a filesystem path to a CA bundle, or True to defer to
the requests default (certifi).
"""
for env_var in ("HERMES_CA_BUNDLE", "REQUESTS_CA_BUNDLE", "SSL_CERT_FILE"):
val = os.getenv(env_var)
if val and os.path.isfile(val):
return val
return True
# 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.
@@ -143,10 +123,6 @@ DEFAULT_CONTEXT_LENGTHS = {
"claude": 200000,
# OpenAI — GPT-5 family (most have 400k; specific overrides first)
# Source: https://developers.openai.com/api/docs/models
# GPT-5.5 (launched Apr 23 2026). 400k is the fallback for providers we
# can't probe live. ChatGPT Codex OAuth actually caps lower (272k as of
# Apr 2026) and is resolved via _resolve_codex_oauth_context_length().
"gpt-5.5": 400000,
"gpt-5.4-nano": 400000, # 400k (not 1.05M like full 5.4)
"gpt-5.4-mini": 400000, # 400k (not 1.05M like full 5.4)
"gpt-5.4": 1050000, # GPT-5.4, GPT-5.4 Pro (1.05M context)
@@ -207,12 +183,12 @@ DEFAULT_CONTEXT_LENGTHS = {
"moonshotai/Kimi-K2.6": 262144,
"moonshotai/Kimi-K2-Thinking": 262144,
"MiniMaxAI/MiniMax-M2.5": 204800,
"XiaomiMiMo/MiMo-V2-Flash": 262144,
"mimo-v2-pro": 1048576,
"mimo-v2.5-pro": 1048576,
"mimo-v2.5": 1048576,
"mimo-v2-omni": 262144,
"mimo-v2-flash": 262144,
"XiaomiMiMo/MiMo-V2-Flash": 256000,
"mimo-v2-pro": 1000000,
"mimo-v2-omni": 256000,
"mimo-v2-flash": 256000,
"mimo-v2.5-pro": 1000000,
"mimo-v2.5": 1000000,
"zai-org/GLM-5": 202752,
}
@@ -515,7 +491,7 @@ def fetch_model_metadata(force_refresh: bool = False) -> Dict[str, Dict[str, Any
return _model_metadata_cache
try:
response = requests.get(OPENROUTER_MODELS_URL, timeout=10, verify=_resolve_requests_verify())
response = requests.get(OPENROUTER_MODELS_URL, timeout=10)
response.raise_for_status()
data = response.json()
@@ -582,7 +558,6 @@ def fetch_endpoint_model_metadata(
server_url.rstrip("/") + "/api/v1/models",
headers=headers,
timeout=10,
verify=_resolve_requests_verify(),
)
response.raise_for_status()
payload = response.json()
@@ -631,7 +606,7 @@ def fetch_endpoint_model_metadata(
for candidate in candidates:
url = candidate.rstrip("/") + "/models"
try:
response = requests.get(url, headers=headers, timeout=10, verify=_resolve_requests_verify())
response = requests.get(url, headers=headers, timeout=10)
response.raise_for_status()
payload = response.json()
cache: Dict[str, Dict[str, Any]] = {}
@@ -662,10 +637,9 @@ def fetch_endpoint_model_metadata(
try:
# Try /v1/props first (current llama.cpp); fall back to /props for older builds
base = candidate.rstrip("/").replace("/v1", "")
_verify = _resolve_requests_verify()
props_resp = requests.get(base + "/v1/props", headers=headers, timeout=5, verify=_verify)
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, verify=_verify)
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", {})
@@ -737,22 +711,6 @@ def get_cached_context_length(model: str, base_url: str) -> Optional[int]:
return cache.get(key)
def _invalidate_cached_context_length(model: str, base_url: str) -> None:
"""Drop a stale cache entry so it gets re-resolved on the next lookup."""
key = f"{model}@{base_url}"
cache = _load_context_cache()
if key not in cache:
return
del cache[key]
path = _get_context_cache_path()
try:
path.parent.mkdir(parents=True, exist_ok=True)
with open(path, "w") as f:
yaml.dump({"context_lengths": cache}, f, default_flow_style=False)
except Exception as e:
logger.debug("Failed to invalidate context length cache entry %s: %s", key, e)
def get_next_probe_tier(current_length: int) -> Optional[int]:
"""Return the next lower probe tier, or None if already at minimum."""
for tier in CONTEXT_PROBE_TIERS:
@@ -1030,7 +988,7 @@ def _query_anthropic_context_length(model: str, base_url: str, api_key: str) ->
"x-api-key": api_key,
"anthropic-version": "2023-06-01",
}
resp = requests.get(url, headers=headers, timeout=10, verify=_resolve_requests_verify())
resp = requests.get(url, headers=headers, timeout=10)
if resp.status_code != 200:
return None
data = resp.json()
@@ -1044,116 +1002,6 @@ def _query_anthropic_context_length(model: str, base_url: str, api_key: str) ->
return None
# Known ChatGPT Codex OAuth context windows (observed via live
# chatgpt.com/backend-api/codex/models probe, Apr 2026). These are the
# `context_window` values, which are what Codex actually enforces — the
# direct OpenAI API has larger limits for the same slugs, but Codex OAuth
# caps lower (e.g. gpt-5.5 is 1.05M on the API, 272K on Codex).
#
# Used as a fallback when the live probe fails (no token, network error).
# Longest keys first so substring match picks the most specific entry.
_CODEX_OAUTH_CONTEXT_FALLBACK: Dict[str, int] = {
"gpt-5.1-codex-max": 272_000,
"gpt-5.1-codex-mini": 272_000,
"gpt-5.3-codex": 272_000,
"gpt-5.2-codex": 272_000,
"gpt-5.4-mini": 272_000,
"gpt-5.5": 272_000,
"gpt-5.4": 272_000,
"gpt-5.2": 272_000,
"gpt-5": 272_000,
}
_codex_oauth_context_cache: Dict[str, int] = {}
_codex_oauth_context_cache_time: float = 0.0
_CODEX_OAUTH_CONTEXT_CACHE_TTL = 3600 # 1 hour
def _fetch_codex_oauth_context_lengths(access_token: str) -> Dict[str, int]:
"""Probe the ChatGPT Codex /models endpoint for per-slug context windows.
Codex OAuth imposes its own context limits that differ from the direct
OpenAI API (e.g. gpt-5.5 is 1.05M on the API, 272K on Codex). The
`context_window` field in each model entry is the authoritative source.
Returns a ``{slug: context_window}`` dict. Empty on failure.
"""
global _codex_oauth_context_cache, _codex_oauth_context_cache_time
now = time.time()
if (
_codex_oauth_context_cache
and now - _codex_oauth_context_cache_time < _CODEX_OAUTH_CONTEXT_CACHE_TTL
):
return _codex_oauth_context_cache
try:
resp = requests.get(
"https://chatgpt.com/backend-api/codex/models?client_version=1.0.0",
headers={"Authorization": f"Bearer {access_token}"},
timeout=10,
verify=_resolve_requests_verify(),
)
if resp.status_code != 200:
logger.debug(
"Codex /models probe returned HTTP %s; falling back to hardcoded defaults",
resp.status_code,
)
return {}
data = resp.json()
except Exception as exc:
logger.debug("Codex /models probe failed: %s", exc)
return {}
entries = data.get("models", []) if isinstance(data, dict) else []
result: Dict[str, int] = {}
for item in entries:
if not isinstance(item, dict):
continue
slug = item.get("slug")
ctx = item.get("context_window")
if isinstance(slug, str) and isinstance(ctx, int) and ctx > 0:
result[slug.strip()] = ctx
if result:
_codex_oauth_context_cache = result
_codex_oauth_context_cache_time = now
return result
def _resolve_codex_oauth_context_length(
model: str, access_token: str = ""
) -> Optional[int]:
"""Resolve a Codex OAuth model's real context window.
Prefers a live probe of chatgpt.com/backend-api/codex/models (when we
have a bearer token), then falls back to ``_CODEX_OAUTH_CONTEXT_FALLBACK``.
"""
model_bare = _strip_provider_prefix(model).strip()
if not model_bare:
return None
if access_token:
live = _fetch_codex_oauth_context_lengths(access_token)
if model_bare in live:
return live[model_bare]
# Case-insensitive match in case casing drifts
model_lower = model_bare.lower()
for slug, ctx in live.items():
if slug.lower() == model_lower:
return ctx
# Fallback: longest-key-first substring match over hardcoded defaults.
model_lower = model_bare.lower()
for slug, ctx in sorted(
_CODEX_OAUTH_CONTEXT_FALLBACK.items(), key=lambda x: len(x[0]), reverse=True
):
if slug in model_lower:
return ctx
return None
def _resolve_nous_context_length(model: str) -> Optional[int]:
"""Resolve Nous Portal model context length via OpenRouter metadata.
@@ -1221,21 +1069,7 @@ def get_model_context_length(
if base_url:
cached = get_cached_context_length(model, base_url)
if cached is not None:
# Invalidate stale Codex OAuth cache entries: pre-PR #14935 builds
# resolved gpt-5.x to the direct-API value (e.g. 1.05M) via
# models.dev and persisted it. Codex OAuth caps at 272K for every
# slug, so any cached Codex entry at or above 400K is a leftover
# from the old resolution path. Drop it and fall through to the
# live /models probe in step 5 below.
if provider == "openai-codex" and cached >= 400_000:
logger.info(
"Dropping stale Codex cache entry %s@%s -> %s (pre-fix value); "
"re-resolving via live /models probe",
model, base_url, f"{cached:,}",
)
_invalidate_cached_context_length(model, base_url)
else:
return cached
return cached
# 2. Active endpoint metadata for truly custom/unknown endpoints.
# Known providers (Copilot, OpenAI, Anthropic, etc.) skip this — their
@@ -1308,32 +1142,10 @@ def get_model_context_length(
if inferred:
effective_provider = inferred
# 5a. Copilot live /models API — max_prompt_tokens from the user's account.
# This catches account-specific models (e.g. claude-opus-4.6-1m) that
# don't exist in models.dev. For models that ARE in models.dev, this
# returns the provider-enforced limit which is what users can actually use.
if effective_provider in ("copilot", "copilot-acp", "github-copilot"):
try:
from hermes_cli.models import get_copilot_model_context
ctx = get_copilot_model_context(model, api_key=api_key)
if ctx:
return ctx
except Exception:
pass # Fall through to models.dev
if effective_provider == "nous":
ctx = _resolve_nous_context_length(model)
if ctx:
return ctx
if effective_provider == "openai-codex":
# Codex OAuth enforces lower context limits than the direct OpenAI
# API for the same slug (e.g. gpt-5.5 is 1.05M on the API but 272K
# on Codex). Authoritative source is Codex's own /models endpoint.
codex_ctx = _resolve_codex_oauth_context_length(model, access_token=api_key or "")
if codex_ctx:
if base_url:
save_context_length(model, base_url, codex_ctx)
return codex_ctx
if effective_provider:
from agent.models_dev import lookup_models_dev_context
ctx = lookup_models_dev_context(effective_provider, model)
-190
View File
@@ -1,190 +0,0 @@
"""Helpers for translating OpenAI-style tool schemas to Moonshot's schema subset.
Moonshot (Kimi) accepts a stricter subset of JSON Schema than standard OpenAI
tool calling. Requests that violate it fail with HTTP 400:
tools.function.parameters is not a valid moonshot flavored json schema,
details: <...>
Known rejection modes documented at
https://forum.moonshot.ai/t/tool-calling-specification-violation-on-moonshot-api/102
and MoonshotAI/kimi-cli#1595:
1. Every property schema must carry a ``type``. Standard JSON Schema allows
type to be omitted (the value is then unconstrained); Moonshot refuses.
2. When ``anyOf`` is used, ``type`` must be on the ``anyOf`` children, not
the parent. Presence of both causes "type should be defined in anyOf
items instead of the parent schema".
The ``#/definitions/...`` → ``#/$defs/...`` rewrite for draft-07 refs is
handled separately in ``tools/mcp_tool._normalize_mcp_input_schema`` so it
applies at MCP registration time for all providers.
"""
from __future__ import annotations
import copy
from typing import Any, Dict, List
# Keys whose values are maps of name → schema (not schemas themselves).
# When we recurse, we walk the values of these maps as schemas, but we do
# NOT apply the missing-type repair to the map itself.
_SCHEMA_MAP_KEYS = frozenset({"properties", "patternProperties", "$defs", "definitions"})
# Keys whose values are lists of schemas.
_SCHEMA_LIST_KEYS = frozenset({"anyOf", "oneOf", "allOf", "prefixItems"})
# Keys whose values are a single nested schema.
_SCHEMA_NODE_KEYS = frozenset({"items", "contains", "not", "additionalProperties", "propertyNames"})
def _repair_schema(node: Any, is_schema: bool = True) -> Any:
"""Recursively apply Moonshot repairs to a schema node.
``is_schema=True`` means this dict is a JSON Schema node and gets the
missing-type + anyOf-parent repairs applied. ``is_schema=False`` means
it's a container map (e.g. the value of ``properties``) and we only
recurse into its values.
"""
if isinstance(node, list):
# Lists only show up under schema-list keys (anyOf/oneOf/allOf), so
# every element is itself a schema.
return [_repair_schema(item, is_schema=True) for item in node]
if not isinstance(node, dict):
return node
# Walk the dict, deciding per-key whether recursion is into a schema
# node, a container map, or a scalar.
repaired: Dict[str, Any] = {}
for key, value in node.items():
if key in _SCHEMA_MAP_KEYS and isinstance(value, dict):
# Map of name → schema. Don't treat the map itself as a schema
# (it has no type / properties of its own), but each value is.
repaired[key] = {
sub_key: _repair_schema(sub_val, is_schema=True)
for sub_key, sub_val in value.items()
}
elif key in _SCHEMA_LIST_KEYS and isinstance(value, list):
repaired[key] = [_repair_schema(v, is_schema=True) for v in value]
elif key in _SCHEMA_NODE_KEYS:
# items / not / additionalProperties: single nested schema.
# additionalProperties can also be a bool — leave those alone.
if isinstance(value, dict):
repaired[key] = _repair_schema(value, is_schema=True)
else:
repaired[key] = value
else:
# Scalars (description, title, format, enum values, etc.) pass through.
repaired[key] = value
if not is_schema:
return repaired
# Rule 2: when anyOf is present, type belongs only on the children.
if "anyOf" in repaired and isinstance(repaired["anyOf"], list):
repaired.pop("type", None)
return repaired
# Rule 1: property schemas without type need one. $ref nodes are exempt
# — their type comes from the referenced definition.
if "$ref" in repaired:
return repaired
return _fill_missing_type(repaired)
def _fill_missing_type(node: Dict[str, Any]) -> Dict[str, Any]:
"""Infer a reasonable ``type`` if this schema node has none."""
if "type" in node and node["type"] not in (None, ""):
return node
# Heuristic: presence of ``properties`` → object, ``items`` → array, ``enum``
# → type of first enum value, else fall back to ``string`` (safest scalar).
if "properties" in node or "required" in node or "additionalProperties" in node:
inferred = "object"
elif "items" in node or "prefixItems" in node:
inferred = "array"
elif "enum" in node and isinstance(node["enum"], list) and node["enum"]:
sample = node["enum"][0]
if isinstance(sample, bool):
inferred = "boolean"
elif isinstance(sample, int):
inferred = "integer"
elif isinstance(sample, float):
inferred = "number"
else:
inferred = "string"
else:
inferred = "string"
return {**node, "type": inferred}
def sanitize_moonshot_tool_parameters(parameters: Any) -> Dict[str, Any]:
"""Normalize tool parameters to a Moonshot-compatible object schema.
Returns a deep-copied schema with the two flavored-JSON-Schema repairs
applied. Input is not mutated.
"""
if not isinstance(parameters, dict):
return {"type": "object", "properties": {}}
repaired = _repair_schema(copy.deepcopy(parameters), is_schema=True)
if not isinstance(repaired, dict):
return {"type": "object", "properties": {}}
# Top-level must be an object schema
if repaired.get("type") != "object":
repaired["type"] = "object"
if "properties" not in repaired:
repaired["properties"] = {}
return repaired
def sanitize_moonshot_tools(tools: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""Apply ``sanitize_moonshot_tool_parameters`` to every tool's parameters."""
if not tools:
return tools
sanitized: List[Dict[str, Any]] = []
any_change = False
for tool in tools:
if not isinstance(tool, dict):
sanitized.append(tool)
continue
fn = tool.get("function")
if not isinstance(fn, dict):
sanitized.append(tool)
continue
params = fn.get("parameters")
repaired = sanitize_moonshot_tool_parameters(params)
if repaired is not params:
any_change = True
new_fn = {**fn, "parameters": repaired}
sanitized.append({**tool, "function": new_fn})
else:
sanitized.append(tool)
return sanitized if any_change else tools
def is_moonshot_model(model: str | None) -> bool:
"""True for any Kimi / Moonshot model slug, regardless of aggregator prefix.
Matches bare names (``kimi-k2.6``, ``moonshotai/Kimi-K2.6``) and aggregator-
prefixed slugs (``nous/moonshotai/kimi-k2.6``, ``openrouter/moonshotai/...``).
Detection by model name covers Nous / OpenRouter / other aggregators that
route to Moonshot's inference, where the base URL is the aggregator's, not
``api.moonshot.ai``.
"""
if not model:
return False
bare = model.strip().lower()
# Last path segment (covers aggregator-prefixed slugs)
tail = bare.rsplit("/", 1)[-1]
if tail.startswith("kimi-") or tail == "kimi":
return True
# Vendor-prefixed forms commonly used on aggregators
if "moonshot" in bare or "/kimi" in bare or bare.startswith("kimi"):
return True
return False
+28 -4
View File
@@ -1,13 +1,15 @@
"""Shared slash command helpers for skills.
"""Shared slash command helpers for skills and built-in prompt-style modes.
Shared between CLI (cli.py) and gateway (gateway/run.py) so both surfaces
can invoke skills via /skill-name commands.
can invoke skills via /skill-name commands and prompt-only built-ins like
/plan.
"""
import json
import logging
import re
import subprocess
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, Optional
@@ -16,6 +18,7 @@ from hermes_constants import display_hermes_home
logger = logging.getLogger(__name__)
_skill_commands: Dict[str, Dict[str, Any]] = {}
_PLAN_SLUG_RE = re.compile(r"[^a-z0-9]+")
# Patterns for sanitizing skill names into clean hyphen-separated slugs.
_SKILL_INVALID_CHARS = re.compile(r"[^a-z0-9-]")
_SKILL_MULTI_HYPHEN = re.compile(r"-{2,}")
@@ -125,6 +128,27 @@ def _expand_inline_shell(
return _INLINE_SHELL_RE.sub(_replace, content)
def build_plan_path(
user_instruction: str = "",
*,
now: datetime | None = None,
) -> Path:
"""Return the default workspace-relative markdown path for a /plan invocation.
Relative paths are intentional: file tools are task/backend-aware and resolve
them against the active working directory for local, docker, ssh, modal,
daytona, and similar terminal backends. That keeps the plan with the active
workspace instead of the Hermes host's global home directory.
"""
slug_source = (user_instruction or "").strip().splitlines()[0] if user_instruction else ""
slug = _PLAN_SLUG_RE.sub("-", slug_source.lower()).strip("-")
if slug:
slug = "-".join(part for part in slug.split("-")[:8] if part)[:48].strip("-")
slug = slug or "conversation-plan"
timestamp = (now or datetime.now()).strftime("%Y-%m-%d_%H%M%S")
return Path(".hermes") / "plans" / f"{timestamp}-{slug}.md"
def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tuple[dict[str, Any], Path | None, str] | None:
"""Load a skill by name/path and return (loaded_payload, skill_dir, display_name)."""
raw_identifier = (skill_identifier or "").strip()
@@ -321,7 +345,7 @@ def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
_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, iter_skill_index_files
from agent.skill_utils import get_external_skills_dirs
disabled = _get_disabled_skill_names()
seen_names: set = set()
@@ -332,7 +356,7 @@ def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
dirs_to_scan.extend(get_external_skills_dirs())
for scan_dir in dirs_to_scan:
for skill_md in iter_skill_index_files(scan_dir, "SKILL.md"):
for skill_md in scan_dir.rglob("SKILL.md"):
if any(part in ('.git', '.github', '.hub') for part in skill_md.parts):
continue
try:
+2 -1
View File
@@ -455,7 +455,8 @@ def parse_qualified_name(name: str) -> Tuple[Optional[str], str]:
"""
if ":" not in name:
return None, name
return tuple(name.split(":", 1)) # type: ignore[return-value]
ns, bare = name.split(":", 1)
return ns, bare
def is_valid_namespace(candidate: Optional[str]) -> bool:
-6
View File
@@ -12,7 +12,6 @@ reasoning configuration, temperature handling, and extra_body assembly.
import copy
from typing import Any, Dict, List, Optional
from agent.moonshot_schema import is_moonshot_model, sanitize_moonshot_tools
from agent.prompt_builder import DEVELOPER_ROLE_MODELS
from agent.transports.base import ProviderTransport
from agent.transports.types import NormalizedResponse, ToolCall, Usage
@@ -173,11 +172,6 @@ class ChatCompletionsTransport(ProviderTransport):
# Tools
if tools:
# Moonshot/Kimi uses a stricter flavored JSON Schema. Rewriting
# tool parameters here keeps aggregator routes (Nous, OpenRouter,
# etc.) compatible, in addition to direct moonshot.ai endpoints.
if is_moonshot_model(model):
tools = sanitize_moonshot_tools(tools)
api_kwargs["tools"] = tools
# max_tokens resolution — priority: ephemeral > user > provider default
-14
View File
@@ -61,20 +61,6 @@ class ToolCall:
"""Codex response_item_id from provider_data."""
return (self.provider_data or {}).get("response_item_id")
@property
def extra_content(self) -> Optional[Dict[str, Any]]:
"""Gemini extra_content (thought_signature) from provider_data.
Gemini 3 thinking models attach ``extra_content`` with a
``thought_signature`` to each tool call. This signature must be
replayed on subsequent API calls without it the API rejects the
request with HTTP 400. The chat_completions transport stores this
in ``provider_data["extra_content"]``; this property exposes it so
``_build_assistant_message`` can ``getattr(tc, "extra_content")``
uniformly.
"""
return (self.provider_data or {}).get("extra_content")
@dataclass
class Usage:
-17
View File
@@ -326,16 +326,6 @@ compression:
# To pin a specific model/provider for compression summaries, use the
# auxiliary section below (auxiliary.compression.provider / model).
# =============================================================================
# Anthropic prompt caching TTL
# =============================================================================
# When prompt caching is active (Claude via OpenRouter or native Anthropic),
# Anthropic supports two TTL tiers for cached prefixes: "5m" (default) and
# "1h". Other values are ignored and "5m" is used.
#
prompt_caching:
cache_ttl: "5m" # use "1h" for long sessions with pauses between turns
# =============================================================================
# Auxiliary Models (Advanced — Experimental)
# =============================================================================
@@ -517,13 +507,6 @@ agent:
# finish, then interrupts anything still running after this timeout.
# 0 = no drain, interrupt immediately.
# restart_drain_timeout: 60
# Max app-level retry attempts for API errors (connection drops, provider
# timeouts, 5xx, etc.) before the agent surfaces the failure. Lower this
# to 1 if you use fallback providers and want fast failover on flaky
# primaries (default 3). The OpenAI SDK does its own low-level retries
# underneath this wrapper — this is the Hermes-level loop.
# api_max_retries: 3
# Enable verbose logging
verbose: false
+140 -94
View File
@@ -30,7 +30,7 @@ from urllib.parse import unquote, urlparse
from contextlib import contextmanager
from pathlib import Path
from datetime import datetime
from typing import List, Dict, Any, Optional
from typing import List, Dict, Any, Optional, TypedDict
logger = logging.getLogger(__name__)
@@ -84,6 +84,34 @@ _project_env = Path(__file__).parent / '.env'
load_hermes_dotenv(hermes_home=_hermes_home, project_env=_project_env)
class _ModelPickerState(TypedDict, total=False):
stage: str
providers: List[Dict[str, Any]]
selected: int
current_model: str
current_provider: str
user_provs: Optional[Dict[str, Any]]
custom_provs: Optional[Dict[str, Any]]
provider_data: Dict[str, Any]
model_list: List[str]
class _ApprovalState(TypedDict, total=False):
command: str
description: str
choices: List[str]
selected: int
response_queue: "queue.Queue[str]"
show_full: bool
class _ClarifyState(TypedDict, total=False):
question: str
choices: List[str]
selected: int
response_queue: "queue.Queue[str]"
_REASONING_TAGS = (
"REASONING_SCRATCHPAD",
"think",
@@ -1688,6 +1716,7 @@ def _looks_like_slash_command(text: str) -> bool:
from agent.skill_commands import (
scan_skill_commands,
build_skill_invocation_message,
build_plan_path,
build_preloaded_skills_prompt,
)
@@ -1727,7 +1756,7 @@ def _parse_skills_argument(skills: str | list[str] | tuple[str, ...] | None) ->
return parsed
def save_config_value(key_path: str, value: any) -> bool:
def save_config_value(key_path: str, value: Any) -> bool:
"""
Save a value to the active config file at the specified key path.
@@ -2064,16 +2093,16 @@ class HermesCLI:
self._interrupt_queue = queue.Queue()
self._should_exit = False
self._last_ctrl_c_time = 0
self._clarify_state = None
self._clarify_state: Optional[_ClarifyState] = None
self._clarify_freetext = False
self._clarify_deadline = 0
self._sudo_state = None
self._sudo_deadline = 0
self._modal_input_snapshot = None
self._approval_state = None
self._approval_state: Optional[_ApprovalState] = None
self._approval_deadline = 0
self._approval_lock = threading.Lock()
self._model_picker_state = None
self._model_picker_state: Optional[_ModelPickerState] = None
self._secret_state = None
self._secret_deadline = 0
self._spinner_text: str = "" # thinking spinner text for TUI
@@ -3083,8 +3112,6 @@ class HermesCLI:
format_runtime_provider_error,
)
_primary_exc = None
runtime = None
try:
runtime = resolve_runtime_provider(
requested=self.requested_provider,
@@ -3092,34 +3119,7 @@ class HermesCLI:
explicit_base_url=self._explicit_base_url,
)
except Exception as exc:
_primary_exc = exc
# Primary provider auth failed — try fallback providers before giving up.
if runtime is None and _primary_exc is not None:
from hermes_cli.auth import AuthError
if isinstance(_primary_exc, AuthError):
_fb_chain = self._fallback_model if isinstance(self._fallback_model, list) else []
for _fb in _fb_chain:
_fb_provider = (_fb.get("provider") or "").strip().lower()
_fb_model = (_fb.get("model") or "").strip()
if not _fb_provider or not _fb_model:
continue
try:
runtime = resolve_runtime_provider(requested=_fb_provider)
logger.warning(
"Primary provider auth failed (%s). Falling through to fallback: %s/%s",
_primary_exc, _fb_provider, _fb_model,
)
_cprint(f"⚠️ Primary auth failed — switching to fallback: {_fb_provider} / {_fb_model}")
self.requested_provider = _fb_provider
self.model = _fb_model
_primary_exc = None
break
except Exception:
continue
if runtime is None:
message = format_runtime_provider_error(_primary_exc) if _primary_exc else "Provider resolution failed."
message = format_runtime_provider_error(exc)
ChatConsole().print(f"[bold red]{message}[/]")
return False
@@ -3282,23 +3282,6 @@ class HermesCLI:
_cprint(f"\033[1;31mSession not found: {self.session_id}{_RST}")
_cprint(f"{_DIM}Use a session ID from a previous CLI run (hermes sessions list).{_RST}")
return False
# If the requested session is the (empty) head of a compression
# chain, walk to the descendant that actually holds the messages.
# See #15000 and SessionDB.resolve_resume_session_id.
try:
resolved_id = self._session_db.resolve_resume_session_id(self.session_id)
except Exception:
resolved_id = self.session_id
if resolved_id and resolved_id != self.session_id:
ChatConsole().print(
f"[{_DIM}]Session {_escape(self.session_id)} was compressed into "
f"{_escape(resolved_id)}; resuming the descendant with your "
f"transcript.[/]"
)
self.session_id = resolved_id
resolved_meta = self._session_db.get_session(self.session_id)
if resolved_meta:
session_meta = resolved_meta
restored = self._session_db.get_messages_as_conversation(self.session_id)
if restored:
restored = [m for m in restored if m.get("role") != "session_meta"]
@@ -3517,22 +3500,6 @@ class HermesCLI:
)
return False
# If the requested session is the (empty) head of a compression chain,
# walk to the descendant that actually holds the messages. See #15000.
try:
resolved_id = self._session_db.resolve_resume_session_id(self.session_id)
except Exception:
resolved_id = self.session_id
if resolved_id and resolved_id != self.session_id:
self._console_print(
f"[dim]Session {self.session_id} was compressed into "
f"{resolved_id}; resuming the descendant with your transcript.[/]"
)
self.session_id = resolved_id
resolved_meta = self._session_db.get_session(self.session_id)
if resolved_meta:
session_meta = resolved_meta
restored = self._session_db.get_messages_as_conversation(self.session_id)
if restored:
restored = [m for m in restored if m.get("role") != "session_meta"]
@@ -4747,22 +4714,6 @@ class HermesCLI:
_cprint(" Use /history or `hermes sessions list` to see available sessions.")
return
# If the target is the empty head of a compression chain, redirect to
# the descendant that actually holds the transcript. See #15000.
try:
resolved_id = self._session_db.resolve_resume_session_id(target_id)
except Exception:
resolved_id = target_id
if resolved_id and resolved_id != target_id:
_cprint(
f" Session {target_id} was compressed into {resolved_id}; "
f"resuming the descendant with your transcript."
)
target_id = resolved_id
resolved_meta = self._session_db.get_session(target_id)
if resolved_meta:
session_meta = resolved_meta
if target_id == self.session_id:
_cprint(" Already on that session.")
return
@@ -5455,6 +5406,79 @@ class HermesCLI:
except Exception:
return False
def _show_model_and_providers(self):
"""Show current model + provider and list all authenticated providers.
Shows current model + provider, then lists all authenticated
providers with their available models.
"""
from hermes_cli.models import (
curated_models_for_provider, list_available_providers,
normalize_provider, _PROVIDER_LABELS,
get_pricing_for_provider, format_model_pricing_table,
)
from hermes_cli.auth import resolve_provider as _resolve_provider
# Resolve current provider
raw_provider = normalize_provider(self.provider)
if raw_provider == "auto":
try:
current = _resolve_provider(
self.requested_provider,
explicit_api_key=self._explicit_api_key,
explicit_base_url=self._explicit_base_url,
)
except Exception:
current = "openrouter"
else:
current = raw_provider
current_label = _PROVIDER_LABELS.get(current, current)
print(f"\n Current: {self.model} via {current_label}")
print()
# Show all authenticated providers with their models
providers = list_available_providers()
authed = [p for p in providers if p["authenticated"]]
unauthed = [p for p in providers if not p["authenticated"]]
if authed:
print(" Authenticated providers & models:")
for p in authed:
is_active = p["id"] == current
marker = " ← active" if is_active else ""
print(f" [{p['id']}]{marker}")
curated = curated_models_for_provider(p["id"])
# Fetch pricing for providers that support it (openrouter, nous)
pricing_map = get_pricing_for_provider(p["id"]) if p["id"] in ("openrouter", "nous") else {}
if curated and pricing_map:
cur_model = self.model if is_active else ""
for line in format_model_pricing_table(curated, pricing_map, current_model=cur_model):
print(line)
elif curated:
for mid, desc in curated:
current_marker = " ← current" if (is_active and mid == self.model) else ""
print(f" {mid}{current_marker}")
elif p["id"] == "custom":
from hermes_cli.models import _get_custom_base_url
custom_url = _get_custom_base_url()
if custom_url:
print(f" endpoint: {custom_url}")
if is_active:
print(f" model: {self.model} ← current")
print(" (use hermes model to change)")
else:
print(" (use hermes model to change)")
print()
if unauthed:
names = ", ".join(p["label"] for p in unauthed)
print(f" Not configured: {names}")
print(" Run: hermes setup")
print()
print(" To change model or provider, use: hermes model")
def _output_console(self):
"""Use prompt_toolkit-safe Rich rendering once the TUI is live."""
if getattr(self, "_app", None):
@@ -6030,12 +6054,16 @@ class HermesCLI:
self._handle_resume_command(cmd_original)
elif canonical == "model":
self._handle_model_switch(cmd_original)
elif canonical == "provider":
self._show_model_and_providers()
elif canonical == "gquota":
self._handle_gquota_command(cmd_original)
elif canonical == "personality":
# Use original case (handler lowercases the personality name itself)
self._handle_personality_command(cmd_original)
elif canonical == "plan":
self._handle_plan_command(cmd_original)
elif canonical == "retry":
retry_msg = self.retry_last()
if retry_msg and hasattr(self, '_pending_input'):
@@ -6270,6 +6298,32 @@ class HermesCLI:
return True
def _handle_plan_command(self, cmd: str):
"""Handle /plan [request] — load the bundled plan skill."""
parts = cmd.strip().split(maxsplit=1)
user_instruction = parts[1].strip() if len(parts) > 1 else ""
plan_path = build_plan_path(user_instruction)
msg = build_skill_invocation_message(
"/plan",
user_instruction,
task_id=self.session_id,
runtime_note=(
"Save the markdown plan with write_file to this exact relative path "
f"inside the active workspace/backend cwd: {plan_path}"
),
)
if not msg:
ChatConsole().print("[bold red]Failed to load the bundled /plan skill[/]")
return
_cprint(f" 📝 Plan mode queued via skill. Markdown plan target: {plan_path}")
if hasattr(self, '_pending_input'):
self._pending_input.put(msg)
else:
ChatConsole().print("[bold red]Plan mode unavailable: input queue not initialized[/]")
def _handle_background_command(self, cmd: str):
"""Handle /background <prompt> — run a prompt in a separate background session.
@@ -6659,13 +6713,6 @@ class HermesCLI:
print(f" ⚠ Port {_port} is not reachable at {cdp_url}")
os.environ["BROWSER_CDP_URL"] = cdp_url
# Eagerly start the CDP supervisor so pending_dialogs + frame_tree
# show up in the next browser_snapshot. No-op if already started.
try:
from tools.browser_tool import _ensure_cdp_supervisor # type: ignore[import-not-found]
_ensure_cdp_supervisor("default")
except Exception:
pass
print()
print("🌐 Browser connected to live Chrome via CDP")
print(f" Endpoint: {cdp_url}")
@@ -6687,8 +6734,7 @@ class HermesCLI:
if current:
os.environ.pop("BROWSER_CDP_URL", None)
try:
from tools.browser_tool import cleanup_all_browsers, _stop_cdp_supervisor
_stop_cdp_supervisor("default")
from tools.browser_tool import cleanup_all_browsers
cleanup_all_browsers()
except Exception:
pass
@@ -7138,7 +7184,7 @@ class HermesCLI:
logging.getLogger(noisy).setLevel(logging.WARNING)
else:
logging.getLogger().setLevel(logging.INFO)
for quiet_logger in ('tools', 'run_agent', 'trajectory_compressor', 'cron', 'hermes_cli'):
for quiet_logger in ('tools', 'run_agent', 'scripts.trajectory_compressor', 'cron', 'hermes_cli'):
logging.getLogger(quiet_logger).setLevel(logging.ERROR)
def _show_insights(self, command: str = "/insights"):
-58
View File
@@ -371,39 +371,6 @@ def save_jobs(jobs: List[Dict[str, Any]]):
raise
def _normalize_workdir(workdir: Optional[str]) -> Optional[str]:
"""Normalize and validate a cron job workdir.
Rules:
- Empty / None None (feature off, preserves old behaviour).
- ``~`` is expanded. Relative paths are rejected cron jobs run detached
from any shell cwd, so relative paths have no stable meaning.
- The path must exist and be a directory at create/update time. We do
NOT re-check at run time (a user might briefly unmount the dir; the
scheduler will just fall back to old behaviour with a logged warning).
Returns the absolute path string, or None when disabled.
Raises ValueError on invalid input.
"""
if workdir is None:
return None
raw = str(workdir).strip()
if not raw:
return None
expanded = Path(raw).expanduser()
if not expanded.is_absolute():
raise ValueError(
f"Cron workdir must be an absolute path (got {raw!r}). "
f"Cron jobs run detached from any shell cwd, so relative paths are ambiguous."
)
resolved = expanded.resolve()
if not resolved.exists():
raise ValueError(f"Cron workdir does not exist: {resolved}")
if not resolved.is_dir():
raise ValueError(f"Cron workdir is not a directory: {resolved}")
return str(resolved)
def create_job(
prompt: str,
schedule: str,
@@ -417,8 +384,6 @@ def create_job(
provider: Optional[str] = None,
base_url: Optional[str] = None,
script: Optional[str] = None,
enabled_toolsets: Optional[List[str]] = None,
workdir: Optional[str] = None,
) -> Dict[str, Any]:
"""
Create a new cron job.
@@ -438,15 +403,6 @@ def create_job(
script: Optional path to a Python script whose stdout is injected into the
prompt each run. The script runs before the agent turn, and its output
is prepended as context. Useful for data collection / change detection.
enabled_toolsets: Optional list of toolset names to restrict the agent to.
When set, only tools from these toolsets are loaded, reducing
token overhead. When omitted, all default tools are loaded.
workdir: Optional absolute path. When set, the job runs as if launched
from that directory: AGENTS.md / CLAUDE.md / .cursorrules from
that directory are injected into the system prompt, and the
terminal/file/code_exec tools use it as their working directory
(via TERMINAL_CWD). When unset, the old behaviour is preserved
(no context files injected, tools use the scheduler's cwd).
Returns:
The created job dict
@@ -477,9 +433,6 @@ def create_job(
normalized_base_url = normalized_base_url or None
normalized_script = str(script).strip() if isinstance(script, str) else None
normalized_script = normalized_script or None
normalized_toolsets = [str(t).strip() for t in enabled_toolsets if str(t).strip()] if enabled_toolsets else None
normalized_toolsets = normalized_toolsets or None
normalized_workdir = _normalize_workdir(workdir)
label_source = (prompt or (normalized_skills[0] if normalized_skills else None)) or "cron job"
job = {
@@ -511,8 +464,6 @@ def create_job(
# Delivery configuration
"deliver": deliver,
"origin": origin, # Tracks where job was created for "origin" delivery
"enabled_toolsets": normalized_toolsets,
"workdir": normalized_workdir,
}
jobs = load_jobs()
@@ -546,15 +497,6 @@ def update_job(job_id: str, updates: Dict[str, Any]) -> Optional[Dict[str, Any]]
if job["id"] != job_id:
continue
# Validate / normalize workdir if present in updates. Empty string or
# None both mean "clear the field" (restore old behaviour).
if "workdir" in updates:
_wd = updates["workdir"]
if _wd in (None, "", False):
updates["workdir"] = None
else:
updates["workdir"] = _normalize_workdir(_wd)
updated = _apply_skill_fields({**job, **updates})
schedule_changed = "schedule" in updates
+12 -115
View File
@@ -40,37 +40,6 @@ from hermes_time import now as _hermes_now
logger = logging.getLogger(__name__)
def _resolve_cron_enabled_toolsets(job: dict, cfg: dict) -> list[str] | None:
"""Resolve the toolset list for a cron job.
Precedence:
1. Per-job ``enabled_toolsets`` (set via ``cronjob`` tool on create/update).
Keeps the agent's job-scoped toolset override intact — #6130.
2. Per-platform ``hermes tools`` config for the ``cron`` platform.
Mirrors gateway behavior (``_get_platform_tools(cfg, platform_key)``)
so users can gate cron toolsets globally without recreating every job.
3. ``None`` on any lookup failure AIAgent loads the full default set
(legacy behavior before this change, preserved as the safety net).
_DEFAULT_OFF_TOOLSETS ({moa, homeassistant, rl}) are removed by
``_get_platform_tools`` for unconfigured platforms, so fresh installs
get cron WITHOUT ``moa`` by default (issue reported by Norbert
surprise $4.63 run).
"""
per_job = job.get("enabled_toolsets")
if per_job:
return per_job
try:
from hermes_cli.tools_config import _get_platform_tools # lazy: avoid heavy import at cron module load
return sorted(_get_platform_tools(cfg or {}, "cron"))
except Exception as exc:
logger.warning(
"Cron toolset resolution failed, falling back to full default toolset: %s",
exc,
)
return None
# Valid delivery platforms — used to validate user-supplied platform names
# in cron delivery targets, preventing env var enumeration via crafted names.
_KNOWN_DELIVERY_PLATFORMS = frozenset({
@@ -470,8 +439,9 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
delivery_errors.append(msg)
continue
if result and result.get("error"):
msg = f"delivery error: {result['error']}"
error = result.get("error") if result else None
if error:
msg = f"delivery error: {error}"
logger.error("Job '%s': %s", job["id"], msg)
delivery_errors.append(msg)
continue
@@ -795,30 +765,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
chat_name=origin.get("chat_name", "") if origin else "",
)
# Per-job working directory. When set (and validated at create/update
# time), we point TERMINAL_CWD at it so:
# - build_context_files_prompt() picks up AGENTS.md / CLAUDE.md /
# .cursorrules from the job's project dir, AND
# - the terminal, file, and code-exec tools run commands from there.
#
# tick() serializes workdir-jobs outside the parallel pool, so mutating
# os.environ["TERMINAL_CWD"] here is safe for those jobs. For workdir-less
# jobs we leave TERMINAL_CWD untouched — preserves the original behaviour
# (skip_context_files=True, tools use whatever cwd the scheduler has).
_job_workdir = (job.get("workdir") or "").strip() or None
if _job_workdir and not Path(_job_workdir).is_dir():
# Directory was removed between create-time validation and now. Log
# and drop back to old behaviour rather than crashing the job.
logger.warning(
"Job '%s': configured workdir %r no longer exists — running without it",
job_id, _job_workdir,
)
_job_workdir = None
_prior_terminal_cwd = os.environ.get("TERMINAL_CWD", "_UNSET_")
if _job_workdir:
os.environ["TERMINAL_CWD"] = _job_workdir
logger.info("Job '%s': using workdir %s", job_id, _job_workdir)
try:
# Re-read .env and config.yaml fresh every run so provider/key
# changes take effect without a gateway restart.
@@ -895,7 +841,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
resolve_runtime_provider,
format_runtime_provider_error,
)
from hermes_cli.auth import AuthError
try:
runtime_kwargs = {
"requested": job.get("provider") or os.getenv("HERMES_INFERENCE_PROVIDER"),
@@ -903,28 +848,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
if job.get("base_url"):
runtime_kwargs["explicit_base_url"] = job.get("base_url")
runtime = resolve_runtime_provider(**runtime_kwargs)
except AuthError as auth_exc:
# Primary provider auth failed — try fallback chain before giving up.
logger.warning("Job '%s': primary auth failed (%s), trying fallback", job_id, auth_exc)
fb = _cfg.get("fallback_providers") or _cfg.get("fallback_model")
fb_list = (fb if isinstance(fb, list) else [fb]) if fb else []
runtime = None
for entry in fb_list:
if not isinstance(entry, dict):
continue
try:
fb_kwargs = {"requested": entry.get("provider")}
if entry.get("base_url"):
fb_kwargs["explicit_base_url"] = entry["base_url"]
if entry.get("api_key"):
fb_kwargs["explicit_api_key"] = entry["api_key"]
runtime = resolve_runtime_provider(**fb_kwargs)
logger.info("Job '%s': fallback resolved to %s", job_id, runtime.get("provider"))
break
except Exception as fb_exc:
logger.debug("Job '%s': fallback %s failed: %s", job_id, entry.get("provider"), fb_exc)
if runtime is None:
raise RuntimeError(format_runtime_provider_error(auth_exc)) from auth_exc
except Exception as exc:
message = format_runtime_provider_error(exc)
raise RuntimeError(message) from exc
@@ -964,13 +887,9 @@ 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"),
enabled_toolsets=_resolve_cron_enabled_toolsets(job, _cfg),
disabled_toolsets=["cronjob", "messaging", "clarify"],
quiet_mode=True,
# When a workdir is configured, inject AGENTS.md / CLAUDE.md /
# .cursorrules from that directory; otherwise preserve the old
# behaviour (don't inject SOUL.md/AGENTS.md from the scheduler cwd).
skip_context_files=not bool(_job_workdir),
skip_context_files=True, # Don't inject SOUL.md/AGENTS.md from scheduler cwd
skip_memory=True, # Cron system prompts would corrupt user representations
platform="cron",
session_id=_cron_session_id,
@@ -1109,14 +1028,6 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
return False, output, "", error_msg
finally:
# Restore TERMINAL_CWD to whatever it was before this job ran. We
# only ever mutate it when the job has a workdir; see the setup block
# at the top of run_job for the serialization guarantee.
if _job_workdir:
if _prior_terminal_cwd == "_UNSET_":
os.environ.pop("TERMINAL_CWD", None)
else:
os.environ["TERMINAL_CWD"] = _prior_terminal_cwd
# Clean up ContextVar session/delivery state for this job.
clear_session_vars(_ctx_tokens)
if _session_db:
@@ -1244,28 +1155,14 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
mark_job_run(job["id"], False, str(e))
return False
# Partition due jobs: those with a per-job workdir mutate
# os.environ["TERMINAL_CWD"] inside run_job, which is process-global —
# so they MUST run sequentially to avoid corrupting each other. Jobs
# without a workdir leave env untouched and stay parallel-safe.
workdir_jobs = [j for j in due_jobs if (j.get("workdir") or "").strip()]
parallel_jobs = [j for j in due_jobs if not (j.get("workdir") or "").strip()]
_results: list = []
# Sequential pass for workdir jobs.
for job in workdir_jobs:
_ctx = contextvars.copy_context()
_results.append(_ctx.run(_process_job, job))
# Parallel pass for the rest — same behaviour as before.
if parallel_jobs:
with concurrent.futures.ThreadPoolExecutor(max_workers=_max_workers) as _tick_pool:
_futures = []
for job in parallel_jobs:
_ctx = contextvars.copy_context()
_futures.append(_tick_pool.submit(_ctx.run, _process_job, job))
_results.extend(f.result() for f in _futures)
# Run all due jobs concurrently, each in its own ContextVar copy
# so session/delivery state stays isolated per-thread.
with concurrent.futures.ThreadPoolExecutor(max_workers=_max_workers) as _tick_pool:
_futures = []
for job in due_jobs:
_ctx = contextvars.copy_context()
_futures.append(_tick_pool.submit(_ctx.run, _process_job, job))
_results = [f.result() for f in _futures]
return sum(_results)
finally:
+1 -1
View File
@@ -29,7 +29,7 @@ echo "📝 Logging to: $LOG_FILE"
# Point to the example dataset in this directory
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
python batch_runner.py \
python scripts/batch_runner.py \
--dataset_file="$SCRIPT_DIR/example_browser_tasks.jsonl" \
--batch_size=5 \
--run_name="browser_tasks_example" \
+1 -1
View File
@@ -4,7 +4,7 @@
# Generates tool-calling trajectories for multi-step web research tasks.
#
# Usage:
# python batch_runner.py \
# python scripts/batch_runner.py \
# --config datagen-config-examples/web_research.yaml \
# --run_name web_research_v1
-52
View File
@@ -1,52 +0,0 @@
#
# docker-compose.yml for Hermes Agent
#
# Usage:
# HERMES_UID=$(id -u) HERMES_GID=$(id -g) docker compose up -d
#
# Set HERMES_UID / HERMES_GID to the host user that owns ~/.hermes so
# files created inside the container stay readable/writable on the host.
# The entrypoint remaps the internal `hermes` user to these values via
# usermod/groupmod + gosu.
#
# Security notes:
# - The dashboard service binds to 127.0.0.1 by default. It stores API
# keys; exposing it on LAN without auth is unsafe. If you want remote
# access, use an SSH tunnel or put it behind a reverse proxy that
# adds authentication — do NOT pass --insecure --host 0.0.0.0.
# - The gateway's API server is off unless you uncomment API_SERVER_KEY
# and API_SERVER_HOST. See docs/user-guide/api-server.md before doing
# this on an internet-facing host.
#
services:
gateway:
build: .
image: hermes-agent
container_name: hermes
restart: unless-stopped
network_mode: host
volumes:
- ~/.hermes:/opt/data
environment:
- HERMES_UID=${HERMES_UID:-10000}
- HERMES_GID=${HERMES_GID:-10000}
# To expose the OpenAI-compatible API server beyond localhost,
# uncomment BOTH lines (API_SERVER_KEY is mandatory for auth):
# - API_SERVER_HOST=0.0.0.0
# - API_SERVER_KEY=${API_SERVER_KEY}
command: ["gateway", "run"]
dashboard:
image: hermes-agent
container_name: hermes-dashboard
restart: unless-stopped
network_mode: host
depends_on:
- gateway
volumes:
- ~/.hermes:/opt/data
environment:
- HERMES_UID=${HERMES_UID:-10000}
- HERMES_GID=${HERMES_GID:-10000}
# Localhost-only. For remote access, tunnel via `ssh -L 9119:localhost:9119`.
command: ["dashboard", "--host", "127.0.0.1", "--no-open"]
+2 -11
View File
@@ -22,18 +22,9 @@ if [ "$(id -u)" = "0" ]; then
groupmod -o -g "$HERMES_GID" hermes 2>/dev/null || true
fi
# Fix ownership of the data volume. When HERMES_UID remaps the hermes user,
# files created by previous runs (under the old UID) become inaccessible.
# Always chown -R when UID was remapped; otherwise only if top-level is wrong.
actual_hermes_uid=$(id -u hermes)
needs_chown=false
if [ -n "$HERMES_UID" ] && [ "$HERMES_UID" != "10000" ]; then
needs_chown=true
elif [ "$(stat -c %u "$HERMES_HOME" 2>/dev/null)" != "$actual_hermes_uid" ]; then
needs_chown=true
fi
if [ "$needs_chown" = true ]; then
echo "Fixing ownership of $HERMES_HOME to hermes ($actual_hermes_uid)"
if [ "$(stat -c %u "$HERMES_HOME" 2>/dev/null)" != "$actual_hermes_uid" ]; then
echo "$HERMES_HOME is not owned by $actual_hermes_uid, fixing"
# In rootless Podman the container's "root" is mapped to an unprivileged
# host UID — chown will fail. That's fine: the volume is already owned
# by the mapped user on the host side.
+4 -1
View File
@@ -18,7 +18,10 @@ import logging
import os
import uuid
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Set
from typing import Any, Dict, List, Optional, Set, TYPE_CHECKING
if TYPE_CHECKING:
from tools.budget_config import BudgetConfig
from model_tools import handle_function_call
from tools.terminal_tool import get_active_env
+40 -67
View File
@@ -32,14 +32,7 @@ import sqlite3
import time
import uuid
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 aiohttp import web
from gateway.config import Platform, PlatformConfig
from gateway.platforms.base import (
BasePlatformAdapter,
@@ -270,12 +263,6 @@ def _multimodal_validation_error(exc: ValueError, *, param: str) -> "web.Respons
status=400,
)
def check_api_server_requirements() -> bool:
"""Check if API server dependencies are available."""
return AIOHTTP_AVAILABLE
class ResponseStore:
"""
SQLite-backed LRU store for Responses API state.
@@ -391,30 +378,26 @@ _CORS_HEADERS = {
}
if AIOHTTP_AVAILABLE:
@web.middleware
async def cors_middleware(request, handler):
"""Add CORS headers for explicitly allowed origins; handle OPTIONS preflight."""
adapter = request.app.get("api_server_adapter")
origin = request.headers.get("Origin", "")
cors_headers = None
if adapter is not None:
if not adapter._origin_allowed(origin):
return web.Response(status=403)
cors_headers = adapter._cors_headers_for_origin(origin)
@web.middleware
async def cors_middleware(request, handler):
"""Add CORS headers for explicitly allowed origins; handle OPTIONS preflight."""
adapter = request.app.get("api_server_adapter")
origin = request.headers.get("Origin", "")
cors_headers = None
if adapter is not None:
if not adapter._origin_allowed(origin):
return web.Response(status=403)
cors_headers = adapter._cors_headers_for_origin(origin)
if request.method == "OPTIONS":
if cors_headers is None:
return web.Response(status=403)
return web.Response(status=200, headers=cors_headers)
response = await handler(request)
if cors_headers is not None:
response.headers.update(cors_headers)
return response
else:
cors_middleware = None # type: ignore[assignment]
if request.method == "OPTIONS":
if cors_headers is None:
return web.Response(status=403)
return web.Response(status=200, headers=cors_headers)
response = await handler(request)
if cors_headers is not None:
response.headers.update(cors_headers)
return response
def _openai_error(message: str, err_type: str = "invalid_request_error", param: str = None, code: str = None) -> Dict[str, Any]:
"""OpenAI-style error envelope."""
@@ -428,21 +411,18 @@ def _openai_error(message: str, err_type: str = "invalid_request_error", param:
}
if AIOHTTP_AVAILABLE:
@web.middleware
async def body_limit_middleware(request, handler):
"""Reject overly large request bodies early based on Content-Length."""
if request.method in ("POST", "PUT", "PATCH"):
cl = request.headers.get("Content-Length")
if cl is not None:
try:
if int(cl) > MAX_REQUEST_BYTES:
return web.json_response(_openai_error("Request body too large.", code="body_too_large"), status=413)
except ValueError:
return web.json_response(_openai_error("Invalid Content-Length header.", code="invalid_content_length"), status=400)
return await handler(request)
else:
body_limit_middleware = None # type: ignore[assignment]
@web.middleware
async def body_limit_middleware(request, handler):
"""Reject overly large request bodies early based on Content-Length."""
if request.method in ("POST", "PUT", "PATCH"):
cl = request.headers.get("Content-Length")
if cl is not None:
try:
if int(cl) > MAX_REQUEST_BYTES:
return web.json_response(_openai_error("Request body too large.", code="body_too_large"), status=413)
except ValueError:
return web.json_response(_openai_error("Invalid Content-Length header.", code="invalid_content_length"), status=400)
return await handler(request)
_SECURITY_HEADERS = {
"X-Content-Type-Options": "nosniff",
@@ -450,16 +430,13 @@ _SECURITY_HEADERS = {
}
if AIOHTTP_AVAILABLE:
@web.middleware
async def security_headers_middleware(request, handler):
"""Add security headers to all responses (including errors)."""
response = await handler(request)
for k, v in _SECURITY_HEADERS.items():
response.headers.setdefault(k, v)
return response
else:
security_headers_middleware = None # type: ignore[assignment]
@web.middleware
async def security_headers_middleware(request, handler):
"""Add security headers to all responses (including errors)."""
response = await handler(request)
for k, v in _SECURITY_HEADERS.items():
response.headers.setdefault(k, v)
return response
class _IdempotencyCache:
@@ -804,7 +781,7 @@ class APIServerAdapter(BasePlatformAdapter):
],
})
async def _handle_chat_completions(self, request: "web.Request") -> "web.Response":
async def _handle_chat_completions(self, request: "web.Request") -> "web.StreamResponse":
"""POST /v1/chat/completions — OpenAI Chat Completions format."""
auth_err = self._check_auth(request)
if auth_err:
@@ -1588,7 +1565,7 @@ class APIServerAdapter(BasePlatformAdapter):
return response
async def _handle_responses(self, request: "web.Request") -> "web.Response":
async def _handle_responses(self, request: "web.Request") -> "web.StreamResponse":
"""POST /v1/responses — OpenAI Responses API format."""
auth_err = self._check_auth(request)
if auth_err:
@@ -2482,10 +2459,6 @@ class APIServerAdapter(BasePlatformAdapter):
async def connect(self) -> bool:
"""Start the aiohttp web server."""
if not AIOHTTP_AVAILABLE:
logger.warning("[%s] aiohttp not installed", self.name)
return False
try:
mws = [mw for mw in (cors_middleware, body_limit_middleware, security_headers_middleware) if mw is not None]
self._app = web.Application(middlewares=mws)
+40 -285
View File
@@ -187,16 +187,14 @@ def proxy_kwargs_for_bot(proxy_url: str | None) -> dict:
if proxy_url.lower().startswith("socks"):
try:
from aiohttp_socks import ProxyConnector
connector = ProxyConnector.from_url(proxy_url, rdns=True)
return {"connector": connector}
except ImportError:
logger.warning(
"aiohttp_socks not installed — SOCKS proxy %s ignored. "
"Run: pip install aiohttp-socks",
proxy_url,
)
return {}
raise ImportError(
"aiohttp-socks is required for SOCKS proxy support. "
"Install with: pip install hermes-agent[messaging]"
) from None
connector = ProxyConnector.from_url(proxy_url, rdns=True)
return {"connector": connector}
return {"proxy": proxy_url}
@@ -220,16 +218,14 @@ def proxy_kwargs_for_aiohttp(proxy_url: str | None) -> tuple[dict, dict]:
if proxy_url.lower().startswith("socks"):
try:
from aiohttp_socks import ProxyConnector
connector = ProxyConnector.from_url(proxy_url, rdns=True)
return {"connector": connector}, {}
except ImportError:
logger.warning(
"aiohttp_socks not installed — SOCKS proxy %s ignored. "
"Run: pip install aiohttp-socks",
proxy_url,
)
return {}, {}
raise ImportError(
"aiohttp-socks is required for SOCKS proxy support. "
"Install with: pip install hermes-agent[messaging]"
) from None
connector = ProxyConnector.from_url(proxy_url, rdns=True)
return {"connector": connector}, {}
return {}, {"proxy": proxy_url}
@@ -428,6 +424,7 @@ async def cache_image_from_url(url: str, ext: str = ".jpg", retries: int = 2) ->
await asyncio.sleep(wait)
continue
raise
raise AssertionError("unreachable: retry loop exhausted")
def cleanup_image_cache(max_age_hours: int = 24) -> int:
@@ -542,6 +539,7 @@ async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) ->
await asyncio.sleep(wait)
continue
raise
raise AssertionError("unreachable: retry loop exhausted")
# ---------------------------------------------------------------------------
@@ -900,16 +898,10 @@ class BasePlatformAdapter(ABC):
self._fatal_error_retryable = True
self._fatal_error_handler: Optional[Callable[["BasePlatformAdapter"], Awaitable[None] | None]] = None
# Track active message handlers per session for interrupt support.
# _active_sessions stores the per-session interrupt Event; _session_tasks
# maps session → the specific Task currently processing it so that
# session-terminating commands (/stop, /new, /reset) can cancel the
# right task and release the adapter-level guard deterministically.
# Without the owner-task map, an old task's finally block could delete
# a newer task's guard, leaving stale busy state.
# Track active message handlers per session for interrupt support
# Key: session_key (e.g., chat_id), Value: (event, asyncio.Event for interrupt)
self._active_sessions: Dict[str, asyncio.Event] = {}
self._pending_messages: Dict[str, MessageEvent] = {}
self._session_tasks: Dict[str, asyncio.Task] = {}
# Background message-processing tasks spawned by handle_message().
# Gateway shutdown cancels these so an old gateway instance doesn't keep
# working on a task after --replace or manual restarts.
@@ -1686,222 +1678,6 @@ class BasePlatformAdapter(ABC):
return f"{existing_text}\n\n{new_text}".strip()
return existing_text
# ------------------------------------------------------------------
# Session task + guard ownership helpers
# ------------------------------------------------------------------
# These were introduced together with the _session_tasks owner map to
# make session lifecycle reconciliation deterministic across (a) the
# normal completion path, (b) /stop/ /new/ /reset bypass commands,
# and (c) stale-lock self-heal on the next inbound message.
def _release_session_guard(
self,
session_key: str,
*,
guard: Optional[asyncio.Event] = None,
) -> None:
"""Release the adapter-level guard for a session.
When ``guard`` is provided, only release the entry if it still points
at that exact Event. This lets reset-like commands swap in a temporary
guard while the old processing task unwinds, without having the old
task's cleanup accidentally clear the replacement guard.
"""
current_guard = self._active_sessions.get(session_key)
if current_guard is None:
return
if guard is not None and current_guard is not guard:
return
del self._active_sessions[session_key]
def _session_task_is_stale(self, session_key: str) -> bool:
"""Return True if the owner task for ``session_key`` is done/cancelled.
A lock is "stale" when the adapter still has ``_active_sessions[key]``
AND a known owner task in ``_session_tasks`` that has already exited.
When there is no owner task at all, that usually means the guard was
installed by some path other than handle_message() (tests sometimes
install guards directly) don't treat that as stale. The on-entry
self-heal only needs to handle the production split-brain case where
an owner task was recorded, then exited without clearing its guard.
"""
task = self._session_tasks.get(session_key)
if task is None:
return False
done = getattr(task, "done", None)
return bool(done and done())
def _heal_stale_session_lock(self, session_key: str) -> bool:
"""Clear a stale session lock if the owner task is already gone.
Returns True if a stale lock was healed. Returns False if there is
no lock, or the owner task is still alive (the normal busy case).
This is the on-entry safety net sidbin's issue #11016 analysis calls
for: without it, a split-brain adapter still thinks the session is
active, but nothing is actually processing traps the chat in
infinite "Interrupting current task..." until the gateway is
restarted.
"""
if session_key not in self._active_sessions:
return False
if not self._session_task_is_stale(session_key):
return False
logger.warning(
"[%s] Healing stale session lock for %s (owner task is done/absent)",
self.name,
session_key,
)
self._active_sessions.pop(session_key, None)
self._pending_messages.pop(session_key, None)
self._session_tasks.pop(session_key, None)
return True
def _start_session_processing(
self,
event: MessageEvent,
session_key: str,
*,
interrupt_event: Optional[asyncio.Event] = None,
) -> bool:
"""Spawn a background processing task under the given session guard.
Returns True on success. If the runtime stubs ``create_task`` with a
non-Task sentinel (some tests do this), the guard is rolled back and
False is returned so the caller isn't left holding a half-installed
session lock.
"""
guard = interrupt_event or asyncio.Event()
self._active_sessions[session_key] = guard
task = asyncio.create_task(self._process_message_background(event, session_key))
self._session_tasks[session_key] = task
try:
self._background_tasks.add(task)
except TypeError:
# Tests stub create_task() with lightweight sentinels that are not
# hashable and do not support lifecycle callbacks.
self._session_tasks.pop(session_key, None)
self._release_session_guard(session_key, guard=guard)
return False
if hasattr(task, "add_done_callback"):
task.add_done_callback(self._background_tasks.discard)
task.add_done_callback(self._expected_cancelled_tasks.discard)
return True
async def cancel_session_processing(
self,
session_key: str,
*,
release_guard: bool = True,
discard_pending: bool = True,
) -> None:
"""Cancel in-flight processing for a single session.
``release_guard=False`` keeps the adapter-level session guard in place
so reset-like commands can finish atomically before follow-up messages
are allowed to start a fresh background task.
"""
task = self._session_tasks.pop(session_key, None)
if task is not None and not task.done():
logger.debug(
"[%s] Cancelling active processing for session %s",
self.name,
session_key,
)
self._expected_cancelled_tasks.add(task)
task.cancel()
try:
await task
except asyncio.CancelledError:
pass
except Exception:
logger.debug(
"[%s] Session cancellation raised while unwinding %s",
self.name,
session_key,
exc_info=True,
)
if discard_pending:
self._pending_messages.pop(session_key, None)
if release_guard:
self._release_session_guard(session_key)
async def _drain_pending_after_session_command(
self,
session_key: str,
command_guard: asyncio.Event,
) -> None:
"""Resume the latest queued follow-up once a session command completes.
Called at the tail of /stop, /new, and /reset dispatch. Releases the
command-scoped guard, then if a follow-up message landed while the
command was running spawns a fresh processing task for it.
"""
pending_event = self._pending_messages.pop(session_key, None)
self._release_session_guard(session_key, guard=command_guard)
if pending_event is None:
return
self._start_session_processing(pending_event, session_key)
async def _dispatch_active_session_command(
self,
event: MessageEvent,
session_key: str,
cmd: str,
) -> None:
"""Dispatch a reset-like bypass command while preserving guard ordering.
/stop, /new, and /reset must:
1. Keep the session guard installed while the runner processes the
command (so a racing follow-up message stays queued, not
dispatched as a second parallel run).
2. Cancel the old in-flight adapter task only AFTER the runner has
finished handling the command (so the runner sees consistent
state and its response is sent in order).
3. Release the command-scoped guard and drain the latest queued
follow-up exactly once, after 1 and 2 complete.
"""
logger.debug(
"[%s] Command '/%s' bypassing active-session guard for %s",
self.name,
cmd,
session_key,
)
current_guard = self._active_sessions.get(session_key)
command_guard = asyncio.Event()
self._active_sessions[session_key] = command_guard
thread_meta = {"thread_id": event.source.thread_id} if event.source.thread_id else None
try:
response = await self._message_handler(event)
# Old adapter task (if any) is cancelled AFTER the runner has
# fully handled the command — keeps ordering deterministic.
await self.cancel_session_processing(
session_key,
release_guard=False,
discard_pending=False,
)
if response:
await self._send_with_retry(
chat_id=event.source.chat_id,
content=response,
reply_to=event.message_id,
metadata=thread_meta,
)
except Exception:
# On failure, restore the original guard if one still exists so
# we don't leave the session in a half-reset state.
if self._active_sessions.get(session_key) is command_guard:
if session_key in self._session_tasks and current_guard is not None:
self._active_sessions[session_key] = current_guard
else:
self._release_session_guard(session_key, guard=command_guard)
raise
await self._drain_pending_after_session_command(session_key, command_guard)
async def handle_message(self, event: MessageEvent) -> None:
"""
Process an incoming message.
@@ -1918,15 +1694,7 @@ class BasePlatformAdapter(ABC):
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
# On-entry self-heal: if the adapter still has an _active_sessions
# entry for this key but the owner task has already exited (done or
# cancelled), the lock is stale. Clear it and fall through to
# normal dispatch so the user isn't trapped behind a dead guard —
# this is the split-brain tail described in issue #11016.
if session_key in self._active_sessions:
self._heal_stale_session_lock(session_key)
# Check if there's already an active handler for this session
if session_key in self._active_sessions:
# Certain commands must bypass the active-session guard and be
@@ -1943,23 +1711,6 @@ class BasePlatformAdapter(ABC):
from hermes_cli.commands import should_bypass_active_session
if should_bypass_active_session(cmd):
# /stop, /new, /reset must cancel the in-flight adapter task
# and preserve ordering of queued follow-ups. Route those
# through the dedicated handoff path that serializes
# cancellation + runner response + pending drain.
if cmd in ("stop", "new", "reset"):
try:
await self._dispatch_active_session_command(event, session_key, cmd)
except Exception as e:
logger.error(
"[%s] Command '/%s' dispatch failed: %s",
self.name, cmd, e, exc_info=True,
)
return
# Other bypass commands (/approve, /deny, /status,
# /background, /restart) just need direct dispatch — they
# don't cancel the running task.
logger.debug(
"[%s] Command '/%s' bypassing active-session guard for %s",
self.name, cmd, session_key,
@@ -2005,9 +1756,19 @@ class BasePlatformAdapter(ABC):
# starts would also pass the _active_sessions check and spawn a
# duplicate task. (grammY sequentialize / aiogram EventIsolation
# pattern — set the guard synchronously, not inside the task.)
# _start_session_processing installs the guard AND the owner-task
# mapping atomically so stale-lock detection works.
self._start_session_processing(event, session_key)
self._active_sessions[session_key] = asyncio.Event()
# Spawn background task to process this message
task = asyncio.create_task(self._process_message_background(event, session_key))
try:
self._background_tasks.add(task)
except TypeError:
# Some tests stub create_task() with lightweight sentinels that are not
# hashable and do not support lifecycle callbacks.
return
if hasattr(task, "add_done_callback"):
task.add_done_callback(self._background_tasks.discard)
task.add_done_callback(self._expected_cancelled_tasks.discard)
@staticmethod
def _get_human_delay() -> float:
@@ -2068,8 +1829,11 @@ class BasePlatformAdapter(ABC):
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)
handler = self._message_handler
if handler is None:
return
response = await handler(event)
# Send response if any. A None/empty response is normal when
# streaming already delivered the text (already_sent=True) or
@@ -2367,9 +2131,6 @@ class BasePlatformAdapter(ABC):
drain_task = asyncio.create_task(
self._process_message_background(late_pending, session_key)
)
# Hand ownership of the session to the drain task so stale-lock
# detection keeps working while it runs.
self._session_tasks[session_key] = drain_task
try:
self._background_tasks.add(drain_task)
drain_task.add_done_callback(self._background_tasks.discard)
@@ -2379,14 +2140,9 @@ class BasePlatformAdapter(ABC):
# Leave _active_sessions[session_key] populated — the drain
# task's own lifecycle will clean it up.
else:
# Clean up session tracking. Guard-match both deletes so a
# reset-like command that already swapped in its own
# command_guard (and cancelled us) can't be accidentally
# cleared by our unwind. The command owns the session now.
current_task = asyncio.current_task()
if current_task is not None and self._session_tasks.get(session_key) is current_task:
del self._session_tasks[session_key]
self._release_session_guard(session_key, guard=interrupt_event)
# Clean up session tracking
if session_key in self._active_sessions:
del self._active_sessions[session_key]
async def cancel_background_tasks(self) -> None:
"""Cancel any in-flight background message-processing tasks.
@@ -2416,7 +2172,6 @@ class BasePlatformAdapter(ABC):
# will be in self._background_tasks now. Re-check.
self._background_tasks.clear()
self._expected_cancelled_tasks.clear()
self._session_tasks.clear()
self._pending_messages.clear()
self._active_sessions.clear()
+3 -3
View File
@@ -14,7 +14,7 @@ import logging
import os
import re
import uuid
from datetime import datetime
from datetime import datetime, timezone
from typing import Any, Dict, List, Optional
from urllib.parse import quote
@@ -377,7 +377,7 @@ class BlueBubblesAdapter(BasePlatformAdapter):
payload = {
"addresses": [address],
"message": message,
"tempGuid": f"temp-{datetime.utcnow().timestamp()}",
"tempGuid": f"temp-{datetime.now(timezone.utc).timestamp()}",
}
try:
res = await self._api_post("/api/v1/chat/new", payload)
@@ -417,7 +417,7 @@ class BlueBubblesAdapter(BasePlatformAdapter):
)
payload: Dict[str, Any] = {
"chatGuid": guid,
"tempGuid": f"temp-{datetime.utcnow().timestamp()}",
"tempGuid": f"temp-{datetime.now(timezone.utc).timestamp()}",
"message": chunk,
}
if reply_to and self._private_api_enabled and self._helper_connected:
+30 -229
View File
@@ -23,7 +23,6 @@ from typing import Callable, Dict, Optional, Any
logger = logging.getLogger(__name__)
VALID_THREAD_AUTO_ARCHIVE_MINUTES = {60, 1440, 4320, 10080}
_DISCORD_COMMAND_SYNC_POLICIES = {"safe", "bulk", "off"}
try:
import discord
@@ -803,27 +802,8 @@ class DiscordAdapter(BasePlatformAdapter):
if not self._client:
return
try:
sync_policy = self._get_discord_command_sync_policy()
if sync_policy == "off":
logger.info("[%s] Skipping Discord slash command sync (policy=off)", self.name)
return
if sync_policy == "bulk":
synced = await asyncio.wait_for(self._client.tree.sync(), timeout=30)
logger.info("[%s] Synced %d slash command(s) via bulk tree sync", self.name, len(synced))
return
summary = await asyncio.wait_for(self._safe_sync_slash_commands(), timeout=30)
logger.info(
"[%s] Safely reconciled %d slash command(s): unchanged=%d updated=%d recreated=%d created=%d deleted=%d",
self.name,
summary["total"],
summary["unchanged"],
summary["updated"],
summary["recreated"],
summary["created"],
summary["deleted"],
)
synced = await asyncio.wait_for(self._client.tree.sync(), timeout=30)
logger.info("[%s] Synced %d slash command(s)", self.name, len(synced))
except asyncio.TimeoutError:
logger.warning("[%s] Slash command sync timed out after 30s", self.name)
except asyncio.CancelledError:
@@ -831,183 +811,6 @@ class DiscordAdapter(BasePlatformAdapter):
except Exception as e: # pragma: no cover - defensive logging
logger.warning("[%s] Slash command sync failed: %s", self.name, e, exc_info=True)
def _get_discord_command_sync_policy(self) -> str:
raw = str(os.getenv("DISCORD_COMMAND_SYNC_POLICY", "safe") or "").strip().lower()
if raw in _DISCORD_COMMAND_SYNC_POLICIES:
return raw
if raw:
logger.warning(
"[%s] Invalid DISCORD_COMMAND_SYNC_POLICY=%r; falling back to 'safe'",
self.name,
raw,
)
return "safe"
def _canonicalize_app_command_payload(self, payload: Dict[str, Any]) -> Dict[str, Any]:
"""Reduce command payloads to the semantic fields Hermes manages."""
contexts = payload.get("contexts")
integration_types = payload.get("integration_types")
return {
"type": int(payload.get("type", 1) or 1),
"name": str(payload.get("name", "") or ""),
"description": str(payload.get("description", "") or ""),
"default_member_permissions": self._normalize_permissions(
payload.get("default_member_permissions")
),
"dm_permission": bool(payload.get("dm_permission", True)),
"nsfw": bool(payload.get("nsfw", False)),
"contexts": sorted(int(c) for c in contexts) if contexts else None,
"integration_types": (
sorted(int(i) for i in integration_types) if integration_types else None
),
"options": [
self._canonicalize_app_command_option(item)
for item in payload.get("options", []) or []
if isinstance(item, dict)
],
}
@staticmethod
def _normalize_permissions(value: Any) -> Optional[str]:
"""Discord emits default_member_permissions as str server-side but discord.py
sets it as int locally. Normalize to str-or-None so the comparison is stable."""
if value is None:
return None
return str(value)
def _existing_command_to_payload(self, command: Any) -> Dict[str, Any]:
"""Build a canonical-ready dict from an AppCommand.
discord.py's AppCommand.to_dict() does NOT include nsfw,
dm_permission, or default_member_permissions (they live only on the
attributes). Pull them from the attributes so the canonicalizer sees
the real server-side values instead of defaults otherwise any
command using non-default permissions would diff on every startup.
"""
payload = dict(command.to_dict())
nsfw = getattr(command, "nsfw", None)
if nsfw is not None:
payload["nsfw"] = bool(nsfw)
guild_only = getattr(command, "guild_only", None)
if guild_only is not None:
payload["dm_permission"] = not bool(guild_only)
default_permissions = getattr(command, "default_member_permissions", None)
if default_permissions is not None:
payload["default_member_permissions"] = getattr(
default_permissions, "value", default_permissions
)
return payload
def _canonicalize_app_command_option(self, payload: Dict[str, Any]) -> Dict[str, Any]:
return {
"type": int(payload.get("type", 0) or 0),
"name": str(payload.get("name", "") or ""),
"description": str(payload.get("description", "") or ""),
"required": bool(payload.get("required", False)),
"autocomplete": bool(payload.get("autocomplete", False)),
"choices": [
{
"name": str(choice.get("name", "") or ""),
"value": choice.get("value"),
}
for choice in payload.get("choices", []) or []
if isinstance(choice, dict)
],
"channel_types": list(payload.get("channel_types", []) or []),
"min_value": payload.get("min_value"),
"max_value": payload.get("max_value"),
"min_length": payload.get("min_length"),
"max_length": payload.get("max_length"),
"options": [
self._canonicalize_app_command_option(item)
for item in payload.get("options", []) or []
if isinstance(item, dict)
],
}
def _patchable_app_command_payload(self, payload: Dict[str, Any]) -> Dict[str, Any]:
"""Fields supported by discord.py's edit_global_command route."""
canonical = self._canonicalize_app_command_payload(payload)
return {
"name": canonical["name"],
"description": canonical["description"],
"options": canonical["options"],
}
async def _safe_sync_slash_commands(self) -> Dict[str, int]:
"""Diff existing global commands and only mutate the commands that changed."""
if not self._client:
return {
"total": 0,
"unchanged": 0,
"updated": 0,
"recreated": 0,
"created": 0,
"deleted": 0,
}
tree = self._client.tree
app_id = getattr(self._client, "application_id", None) or getattr(getattr(self._client, "user", None), "id", None)
if not app_id:
raise RuntimeError("Discord application ID is unavailable for slash command sync")
desired_payloads = [command.to_dict(tree) for command in tree.get_commands()]
desired_by_key = {
(int(payload.get("type", 1) or 1), str(payload.get("name", "") or "").lower()): payload
for payload in desired_payloads
}
existing_commands = await tree.fetch_commands()
existing_by_key = {
(
int(getattr(getattr(command, "type", None), "value", getattr(command, "type", 1)) or 1),
str(command.name or "").lower(),
): command
for command in existing_commands
}
unchanged = 0
updated = 0
recreated = 0
created = 0
deleted = 0
http = self._client.http
for key, desired in desired_by_key.items():
current = existing_by_key.pop(key, None)
if current is None:
await http.upsert_global_command(app_id, desired)
created += 1
continue
current_existing_payload = self._existing_command_to_payload(current)
current_payload = self._canonicalize_app_command_payload(current_existing_payload)
desired_payload = self._canonicalize_app_command_payload(desired)
if current_payload == desired_payload:
unchanged += 1
continue
if self._patchable_app_command_payload(current_existing_payload) == self._patchable_app_command_payload(desired):
await http.delete_global_command(app_id, current.id)
await http.upsert_global_command(app_id, desired)
recreated += 1
continue
await http.edit_global_command(app_id, current.id, desired)
updated += 1
for current in existing_by_key.values():
await http.delete_global_command(app_id, current.id)
deleted += 1
return {
"total": len(desired_payloads),
"unchanged": unchanged,
"updated": updated,
"recreated": recreated,
"created": created,
"deleted": deleted,
}
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"):
@@ -1393,9 +1196,16 @@ class DiscordAdapter(BasePlatformAdapter):
try:
import base64
duration_secs = 5.0
try:
from mutagen.oggopus import OggOpus
except ImportError:
raise ImportError(
"mutagen is required for Discord voice messages. "
"Install with: pip install hermes-agent[messaging]"
) from None
duration_secs = 5.0
try:
info = OggOpus(audio_path)
duration_secs = info.info.length
except Exception:
@@ -2088,7 +1898,7 @@ class DiscordAdapter(BasePlatformAdapter):
# Fetch full member list (requires members intent)
try:
members = guild.members
if len(members) < guild.member_count:
if guild.member_count is not None and len(members) < guild.member_count:
members = [m async for m in guild.fetch_members(limit=None)]
except Exception as e:
logger.warning("Failed to fetch members for guild %s: %s", guild.name, e)
@@ -2246,6 +2056,10 @@ class DiscordAdapter(BasePlatformAdapter):
async def slash_usage(interaction: discord.Interaction):
await self._run_simple_slash(interaction, "/usage")
@tree.command(name="provider", description="Show available providers")
async def slash_provider(interaction: discord.Interaction):
await self._run_simple_slash(interaction, "/provider")
@tree.command(name="help", description="Show available commands")
async def slash_help(interaction: discord.Interaction):
await self._run_simple_slash(interaction, "/help")
@@ -2697,7 +2511,7 @@ class DiscordAdapter(BasePlatformAdapter):
if isinstance(skills, str):
return [skills]
if isinstance(skills, list) and skills:
return list(dict.fromkeys(skills)) # dedup, preserve order
return list(dict.fromkeys(skills)) # ty: ignore[invalid-return-type] # dedup, preserve order
return None
def _resolve_channel_prompt(self, channel_id: str, parent_id: str | None = None) -> str | None:
@@ -2715,12 +2529,7 @@ class DiscordAdapter(BasePlatformAdapter):
return os.getenv("DISCORD_REQUIRE_MENTION", "true").lower() not in ("false", "0", "no", "off")
def _discord_free_response_channels(self) -> set:
"""Return Discord channel IDs where no bot mention is required.
A single ``"*"`` entry (either from a list or a comma-separated
string) is preserved in the returned set so callers can short-circuit
on wildcard membership, consistent with ``allowed_channels``.
"""
"""Return Discord channel IDs where no bot mention is required."""
raw = self.config.extra.get("free_response_channels")
if raw is None:
raw = os.getenv("DISCORD_FREE_RESPONSE_CHANNELS", "")
@@ -3213,14 +3022,14 @@ class DiscordAdapter(BasePlatformAdapter):
allowed_channels_raw = os.getenv("DISCORD_ALLOWED_CHANNELS", "")
if allowed_channels_raw:
allowed_channels = {ch.strip() for ch in allowed_channels_raw.split(",") if ch.strip()}
if "*" not in allowed_channels and not (channel_ids & allowed_channels):
if not (channel_ids & allowed_channels):
logger.debug("[%s] Ignoring message in non-allowed channel: %s", self.name, channel_ids)
return
# Check ignored channels - never respond even when mentioned
ignored_channels_raw = os.getenv("DISCORD_IGNORED_CHANNELS", "")
ignored_channels = {ch.strip() for ch in ignored_channels_raw.split(",") if ch.strip()}
if "*" in ignored_channels or (channel_ids & ignored_channels):
if channel_ids & ignored_channels:
logger.debug("[%s] Ignoring message in ignored channel: %s", self.name, channel_ids)
return
@@ -3234,15 +3043,11 @@ class DiscordAdapter(BasePlatformAdapter):
voice_linked_ids = {str(ch_id) for ch_id in self._voice_text_channels.values()}
current_channel_id = str(message.channel.id)
is_voice_linked_channel = current_channel_id in voice_linked_ids
is_free_channel = (
"*" in free_channels
or bool(channel_ids & free_channels)
or is_voice_linked_channel
)
is_free_channel = bool(channel_ids & free_channels) or is_voice_linked_channel
# Skip the mention check if the message is in a thread where
# the bot has previously participated (auto-created or replied in).
in_bot_thread = is_thread and thread_id in self._threads
in_bot_thread = is_thread and thread_id is not None and thread_id in self._threads
if require_mention and not is_free_channel and not in_bot_thread:
if self._client.user not in message.mentions and not mention_prefix:
@@ -3835,7 +3640,9 @@ if DISCORD_AVAILABLE:
)
return
provider_slug = interaction.data["values"][0]
if interaction.data is None:
return
provider_slug = interaction.data["values"][0] # ty: ignore[invalid-key]
self._selected_provider = provider_slug
provider = next(
(p for p in self.providers if p["slug"] == provider_slug), None
@@ -3869,17 +3676,10 @@ if DISCORD_AVAILABLE:
)
return
if interaction.data is None:
return
self.resolved = True
model_id = interaction.data["values"][0]
self.clear_items()
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Switching Model",
description=f"Switching to `{model_id}`...",
color=discord.Color.blue(),
),
view=None,
)
model_id = interaction.data["values"][0] # ty: ignore[invalid-key]
try:
result_text = await self.on_model_selected(
@@ -3890,13 +3690,14 @@ if DISCORD_AVAILABLE:
except Exception as exc:
result_text = f"Error switching model: {exc}"
await interaction.edit_original_response(
self.clear_items()
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Model Switched",
description=result_text,
color=discord.Color.green(),
),
view=None,
view=self,
)
async def _on_back(self, interaction: discord.Interaction):
+1
View File
@@ -532,6 +532,7 @@ class EmailAdapter(BasePlatformAdapter):
image_url: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send an image URL as part of an email body."""
text = caption or ""
+4 -4
View File
@@ -2170,8 +2170,8 @@ class MatrixAdapter(BasePlatformAdapter):
ul_match = re.match(r"^[\s]*[-*+]\s+(.+)$", line)
if ul_match:
items = []
while i < len(lines) and re.match(r"^[\s]*[-*+]\s+(.+)$", lines[i]):
items.append(re.match(r"^[\s]*[-*+]\s+(.+)$", lines[i]).group(1))
while i < len(lines) and (m := re.match(r"^[\s]*[-*+]\s+(.+)$", lines[i])):
items.append(m.group(1))
i += 1
li = "".join(f"<li>{item}</li>" for item in items)
out_lines.append(f"<ul>{li}</ul>")
@@ -2181,8 +2181,8 @@ class MatrixAdapter(BasePlatformAdapter):
ol_match = re.match(r"^[\s]*\d+[.)]\s+(.+)$", line)
if ol_match:
items = []
while i < len(lines) and re.match(r"^[\s]*\d+[.)]\s+(.+)$", lines[i]):
items.append(re.match(r"^[\s]*\d+[.)]\s+(.+)$", lines[i]).group(1))
while i < len(lines) and (m := re.match(r"^[\s]*\d+[.)]\s+(.+)$", lines[i])):
items.append(m.group(1))
i += 1
li = "".join(f"<li>{item}</li>" for item in items)
out_lines.append(f"<ol>{li}</ol>")
+1
View File
@@ -1842,6 +1842,7 @@ class QQAdapter(BasePlatformAdapter):
await asyncio.sleep(1.5 * (attempt + 1))
else:
raise
raise AssertionError("unreachable: retry loop exhausted")
# Maximum time (seconds) to wait for reconnection before giving up on send.
_RECONNECT_WAIT_SECONDS = 15.0
+2
View File
@@ -1690,6 +1690,7 @@ class SlackAdapter(BasePlatformAdapter):
await asyncio.sleep(1.5 * (attempt + 1))
continue
raise
raise AssertionError("unreachable: retry loop exhausted")
async def _download_slack_file_bytes(self, url: str, team_id: str = "") -> bytes:
"""Download a Slack file and return raw bytes, with retry."""
@@ -1715,6 +1716,7 @@ class SlackAdapter(BasePlatformAdapter):
await asyncio.sleep(1.5 * (attempt + 1))
continue
raise
raise AssertionError("unreachable: retry loop exhausted")
# ── Channel mention gating ─────────────────────────────────────────────
+4 -1
View File
@@ -25,7 +25,10 @@ import hmac
import logging
import os
import urllib.parse
from typing import Any, Dict, Optional
from typing import Any, Dict, Optional, TYPE_CHECKING
if TYPE_CHECKING:
import aiohttp
from gateway.config import Platform, PlatformConfig
from gateway.platforms.base import (
+2
View File
@@ -2820,6 +2820,8 @@ class TelegramAdapter(BasePlatformAdapter):
)
sticker = msg.sticker
if sticker is None:
return
emoji = sticker.emoji or ""
set_name = sticker.set_name or ""
+1 -1
View File
@@ -151,7 +151,7 @@ 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}
return {str(addr[4][0]) for addr in results}
except Exception:
return set()
+2 -1
View File
@@ -703,7 +703,8 @@ class WeComAdapter(BasePlatformAdapter):
elif isinstance(appmsg.get("image"), dict):
refs.append(("image", appmsg["image"]))
quote = body.get("quote") if isinstance(body.get("quote"), dict) else {}
raw_quote = body.get("quote")
quote = raw_quote if isinstance(raw_quote, dict) else {}
quote_type = str(quote.get("msgtype") or "").lower()
if quote_type == "image" and isinstance(quote.get("image"), dict):
refs.append(("image", quote["image"]))
+4 -1
View File
@@ -25,7 +25,10 @@ import subprocess
_IS_WINDOWS = platform.system() == "Windows"
from pathlib import Path
from typing import Dict, Optional, Any
from typing import Dict, Optional, Any, TYPE_CHECKING
if TYPE_CHECKING:
import aiohttp
from hermes_constants import get_hermes_dir
+156 -261
View File
@@ -14,7 +14,6 @@ Usage:
"""
import asyncio
import dataclasses
import json
import logging
import os
@@ -350,30 +349,16 @@ _AGENT_PENDING_SENTINEL = object()
def _resolve_runtime_agent_kwargs() -> dict:
"""Resolve provider credentials for gateway-created AIAgent instances.
If the primary provider fails with an authentication error, attempt to
resolve credentials using the fallback provider chain from config.yaml
before giving up.
"""
"""Resolve provider credentials for gateway-created AIAgent instances."""
from hermes_cli.runtime_provider import (
resolve_runtime_provider,
format_runtime_provider_error,
)
from hermes_cli.auth import AuthError
try:
runtime = resolve_runtime_provider(
requested=os.getenv("HERMES_INFERENCE_PROVIDER"),
)
except AuthError as auth_exc:
# Primary provider auth failed (expired token, revoked key, etc.).
# Try the fallback provider chain before raising.
logger.warning("Primary provider auth failed: %s — trying fallback", auth_exc)
fb_config = _try_resolve_fallback_provider()
if fb_config is not None:
return fb_config
raise RuntimeError(format_runtime_provider_error(auth_exc)) from auth_exc
except Exception as exc:
raise RuntimeError(format_runtime_provider_error(exc)) from exc
@@ -388,48 +373,6 @@ def _resolve_runtime_agent_kwargs() -> dict:
}
def _try_resolve_fallback_provider() -> dict | None:
"""Attempt to resolve credentials from the fallback_model/fallback_providers config."""
from hermes_cli.runtime_provider import resolve_runtime_provider
try:
import yaml as _y
cfg_path = _hermes_home / "config.yaml"
if not cfg_path.exists():
return None
with open(cfg_path, encoding="utf-8") as _f:
cfg = _y.safe_load(_f) or {}
fb = cfg.get("fallback_providers") or cfg.get("fallback_model")
if not fb:
return None
# Normalize to list
fb_list = fb if isinstance(fb, list) else [fb]
for entry in fb_list:
if not isinstance(entry, dict):
continue
try:
runtime = resolve_runtime_provider(
requested=entry.get("provider"),
explicit_base_url=entry.get("base_url"),
explicit_api_key=entry.get("api_key"),
)
logger.info("Fallback provider resolved: %s", runtime.get("provider"))
return {
"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 []),
"credential_pool": runtime.get("credential_pool"),
}
except Exception as fb_exc:
logger.debug("Fallback entry %s failed: %s", entry.get("provider"), fb_exc)
continue
except Exception:
pass
return None
def _build_media_placeholder(event) -> str:
"""Build a text placeholder for media-only events so they aren't dropped.
@@ -1608,23 +1551,27 @@ class GatewayRunner:
)
return True
# Normal busy case (agent actively running a task)
# --- Normal busy case (agent actively running a task) ---
# The user sent a message while the agent is working. Interrupt the
# agent immediately so it stops the current tool-calling loop and
# processes the new message. The pending message is stored in the
# adapter so the base adapter picks it up once the interrupted run
# returns. A brief ack tells the user what's happening (debounced
# to avoid spam when they fire multiple messages quickly).
adapter = self.adapters.get(event.source.platform)
if not adapter:
return False # let default path handle it
# Store the message so it's processed as the next turn after the
# current run finishes (or is interrupted).
# interrupt causes the current run to exit.
from gateway.platforms.base import merge_pending_message_event
merge_pending_message_event(adapter._pending_messages, session_key, event)
is_queue_mode = self._busy_input_mode == "queue"
# If not in queue mode, interrupt the running agent immediately.
# This aborts in-flight tool calls and causes the agent loop to exit
# at the next check point.
# Interrupt the running agent — this aborts in-flight tool calls and
# causes the agent loop to exit at the next check point.
running_agent = self._running_agents.get(session_key)
if not is_queue_mode and running_agent and running_agent is not _AGENT_PENDING_SENTINEL:
if running_agent and running_agent is not _AGENT_PENDING_SENTINEL:
try:
running_agent.interrupt(event.text)
except Exception:
@@ -1636,7 +1583,7 @@ class GatewayRunner:
now = time.time()
last_ack = self._busy_ack_ts.get(session_key, 0)
if now - last_ack < _BUSY_ACK_COOLDOWN:
return True # interrupt sent (if not queue), ack already delivered recently
return True # interrupt sent, ack already delivered recently
self._busy_ack_ts[session_key] = now
@@ -1661,16 +1608,10 @@ class GatewayRunner:
pass
status_detail = f" ({', '.join(status_parts)})" if status_parts else ""
if is_queue_mode:
message = (
f"⏳ Queued for the next turn{status_detail}. "
f"I'll respond once the current task finishes."
)
else:
message = (
f"⚡ Interrupting current task{status_detail}. "
f"I'll respond to your message shortly."
)
message = (
f"⚡ Interrupting current task{status_detail}. "
f"I'll respond to your message shortly."
)
thread_meta = {"thread_id": event.source.thread_id} if event.source.thread_id else None
try:
@@ -2366,17 +2307,6 @@ class GatewayRunner:
for key, entry in _expired_entries:
try:
await self._async_flush_memories(entry.session_id, key)
try:
from hermes_cli.plugins import invoke_hook as _invoke_hook
_parts = key.split(":")
_platform = _parts[2] if len(_parts) > 2 else ""
_invoke_hook(
"on_session_finalize",
session_id=entry.session_id,
platform=_platform,
)
except Exception:
pass
# Shut down memory provider and close tool resources
# on the cached agent. Idle agents live in
# _agent_cache (not _running_agents), so look there.
@@ -2630,40 +2560,6 @@ class GatewayRunner:
return
async def _stop_impl() -> None:
def _kill_tool_subprocesses(phase: str) -> None:
"""Kill tool subprocesses + tear down terminal envs + browsers.
Called twice in the shutdown path: once eagerly after a
drain timeout forces agent interrupt (so we reclaim bash/
sleep children before systemd TimeoutStopSec escalates to
SIGKILL on the cgroup #8202), and once as a final
catch-all at the end of _stop_impl() for the graceful
path or anything respawned mid-teardown.
All steps are best-effort; exceptions are swallowed so
one subsystem's failure doesn't block the rest.
"""
try:
from tools.process_registry import process_registry
_killed = process_registry.kill_all()
if _killed:
logger.info(
"Shutdown (%s): killed %d tool subprocess(es)",
phase, _killed,
)
except Exception as _e:
logger.debug("process_registry.kill_all (%s) error: %s", phase, _e)
try:
from tools.terminal_tool import cleanup_all_environments
cleanup_all_environments()
except Exception as _e:
logger.debug("cleanup_all_environments (%s) error: %s", phase, _e)
try:
from tools.browser_tool import cleanup_all_browsers
cleanup_all_browsers()
except Exception as _e:
logger.debug("cleanup_all_browsers (%s) error: %s", phase, _e)
logger.info(
"Stopping gateway%s...",
" for restart" if self._restart_requested else "",
@@ -2725,16 +2621,6 @@ class GatewayRunner:
self._update_runtime_status("draining")
await asyncio.sleep(0.1)
# Kill lingering tool subprocesses NOW, before we spend more
# budget on adapter disconnect / session DB close. Under
# systemd (TimeoutStopSec bounded by drain_timeout+headroom),
# deferring this to the end of stop() risks systemd escalating
# to SIGKILL on the cgroup first — at which point bash/sleep
# children left behind by an interrupted terminal tool get
# killed by systemd instead of us (issue #8202). The final
# catch-all cleanup below still runs for the graceful path.
_kill_tool_subprocesses("post-interrupt")
if self._restart_requested and self._restart_detached:
try:
await self._launch_detached_restart_command()
@@ -2770,13 +2656,22 @@ class GatewayRunner:
self._shutdown_event.set()
# Global cleanup: kill any remaining tool subprocesses not tied
# to a specific agent (catch-all for zombie prevention). On the
# drain-timeout path we already did this earlier after agent
# interrupt — this second call catches (a) the graceful path
# where drain succeeded without interrupt, and (b) anything
# that got respawned between the earlier call and adapter
# disconnect (defense in depth; safe to call repeatedly).
_kill_tool_subprocesses("final-cleanup")
# to a specific agent (catch-all for zombie prevention).
try:
from tools.process_registry import process_registry
process_registry.kill_all()
except Exception:
pass
try:
from tools.terminal_tool import cleanup_all_environments
cleanup_all_environments()
except Exception:
pass
try:
from tools.browser_tool import cleanup_all_browsers
cleanup_all_browsers()
except Exception:
pass
# Close SQLite session DBs so the WAL write lock is released.
# Without this, --replace and similar restart flows leave the
@@ -2964,10 +2859,12 @@ class GatewayRunner:
return MatrixAdapter(config)
elif platform == Platform.API_SERVER:
from gateway.platforms.api_server import APIServerAdapter, check_api_server_requirements
if not check_api_server_requirements():
try:
import aiohttp # noqa: F401
except ImportError:
logger.warning("API Server: aiohttp not installed")
return None
from gateway.platforms.api_server import APIServerAdapter
return APIServerAdapter(config)
elif platform == Platform.WEBHOOK:
@@ -3213,50 +3110,7 @@ class GatewayRunner:
# Internal events (e.g. background-process completion notifications)
# are system-generated and must skip user authorization.
is_internal = bool(getattr(event, "internal", False))
# Fire pre_gateway_dispatch plugin hook for user-originated messages.
# Plugins receive the MessageEvent and may return a dict influencing flow:
# {"action": "skip", "reason": ...} -> drop (no reply, plugin handled)
# {"action": "rewrite", "text": ...} -> replace event.text, continue
# {"action": "allow"} / None -> normal dispatch
# Hook runs BEFORE auth so plugins can handle unauthorized senders
# (e.g. customer handover ingest) without triggering the pairing flow.
if not is_internal:
try:
from hermes_cli.plugins import invoke_hook as _invoke_hook
_hook_results = _invoke_hook(
"pre_gateway_dispatch",
event=event,
gateway=self,
session_store=self.session_store,
)
except Exception as _hook_exc:
logger.warning("pre_gateway_dispatch invocation failed: %s", _hook_exc)
_hook_results = []
for _result in _hook_results:
if not isinstance(_result, dict):
continue
_action = _result.get("action")
if _action == "skip":
logger.info(
"pre_gateway_dispatch skip: reason=%s platform=%s chat=%s",
_result.get("reason"),
source.platform.value if source.platform else "unknown",
source.chat_id or "unknown",
)
return None
if _action == "rewrite":
_new_text = _result.get("text")
if isinstance(_new_text, str):
event = dataclasses.replace(event, text=_new_text)
source = event.source
break
if _action == "allow":
break
if is_internal:
if getattr(event, "internal", False):
pass
elif source.user_id is None:
# Messages with no user identity (Telegram service messages,
@@ -3553,7 +3407,7 @@ class GatewayRunner:
# running-agent guard. Reject gracefully rather than falling
# through to interrupt + discard. Without this, commands
# like /model, /reasoning, /voice, /insights, /title,
# /resume, /retry, /undo, /compress, /usage,
# /resume, /retry, /undo, /compress, /usage, /provider,
# /reload-mcp, /sethome, /reset (all registered as Discord
# slash commands) would interrupt the agent AND get
# silently discarded by the slash-command safety net,
@@ -3740,9 +3594,34 @@ class GatewayRunner:
if canonical == "model":
return await self._handle_model_command(event)
if canonical == "provider":
return await self._handle_provider_command(event)
if canonical == "personality":
return await self._handle_personality_command(event)
if canonical == "plan":
try:
from agent.skill_commands import build_plan_path, build_skill_invocation_message
user_instruction = event.get_command_args().strip()
plan_path = build_plan_path(user_instruction)
event.text = build_skill_invocation_message(
"/plan",
user_instruction,
task_id=_quick_key,
runtime_note=(
"Save the markdown plan with write_file to this exact relative path "
f"inside the active workspace/backend cwd: {plan_path}"
),
)
if not event.text:
return "Failed to load the bundled /plan skill."
canonical = None
except Exception as e:
logger.exception("Failed to prepare /plan command")
return f"Failed to enter plan mode: {e}"
if canonical == "retry":
return await self._handle_retry_command(event)
@@ -4552,9 +4431,10 @@ class GatewayRunner:
# is speaking, without needing a separate tool call.
# -----------------------------------------------------------------
if source.platform == Platform.DISCORD:
from gateway.platforms.discord import DiscordAdapter
adapter = self.adapters.get(Platform.DISCORD)
guild_id = self._get_guild_id(event)
if guild_id and adapter and hasattr(adapter, "get_voice_channel_context"):
if guild_id and isinstance(adapter, DiscordAdapter):
vc_context = adapter.get_voice_channel_context(guild_id)
if vc_context:
context_prompt += f"\n\n{vc_context}"
@@ -5865,6 +5745,63 @@ class GatewayRunner:
return "\n".join(lines)
async def _handle_provider_command(self, event: MessageEvent) -> str:
"""Handle /provider command - show available providers."""
import yaml
from hermes_cli.models import (
list_available_providers,
normalize_provider,
_PROVIDER_LABELS,
)
# Resolve current provider from config
current_provider = "openrouter"
model_cfg = {}
config_path = _hermes_home / 'config.yaml'
try:
if config_path.exists():
with open(config_path, encoding="utf-8") as f:
cfg = yaml.safe_load(f) or {}
model_cfg = cfg.get("model", {})
if isinstance(model_cfg, dict):
current_provider = model_cfg.get("provider", current_provider)
except Exception:
pass
current_provider = normalize_provider(current_provider)
if current_provider == "auto":
try:
from hermes_cli.auth import resolve_provider as _resolve_provider
current_provider = _resolve_provider(current_provider)
except Exception:
current_provider = "openrouter"
# Detect custom endpoint from config base_url
if current_provider == "openrouter":
_cfg_base = model_cfg.get("base_url", "") if isinstance(model_cfg, dict) else ""
if _cfg_base and "openrouter.ai" not in _cfg_base:
current_provider = "custom"
current_label = _PROVIDER_LABELS.get(current_provider, current_provider)
lines = [
f"🔌 **Current provider:** {current_label} (`{current_provider}`)",
"",
"**Available providers:**",
]
providers = list_available_providers()
for p in providers:
marker = " ← active" if p["id"] == current_provider else ""
auth = "" if p["authenticated"] else ""
aliases = f" _(also: {', '.join(p['aliases'])})_" if p["aliases"] else ""
lines.append(f"{auth} `{p['id']}` — {p['label']}{aliases}{marker}")
lines.append("")
lines.append("Switch: `/model provider:model-name`")
lines.append("Setup: `hermes setup`")
return "\n".join(lines)
async def _handle_personality_command(self, event: MessageEvent) -> str:
"""Handle /personality command - list or set a personality."""
import yaml
@@ -5940,7 +5877,7 @@ class GatewayRunner:
available = "`none`, " + ", ".join(f"`{n}`" for n in personalities)
return f"Unknown personality: `{args}`\n\nAvailable: {available}"
async def _handle_retry_command(self, event: MessageEvent) -> str:
async def _handle_retry_command(self, event: MessageEvent) -> Optional[str]:
"""Handle /retry command - re-send the last user message."""
source = event.source
session_entry = self.session_store.get_or_create_session(source)
@@ -6090,9 +6027,10 @@ class GatewayRunner:
"all": "TTS (voice reply to all messages)",
}
# Append voice channel info if connected
from gateway.platforms.discord import DiscordAdapter
adapter = self.adapters.get(event.source.platform)
guild_id = self._get_guild_id(event)
if guild_id and hasattr(adapter, "get_voice_channel_info"):
if guild_id and isinstance(adapter, DiscordAdapter):
info = adapter.get_voice_channel_info(guild_id)
if info:
lines = [
@@ -6123,8 +6061,9 @@ class GatewayRunner:
async def _handle_voice_channel_join(self, event: MessageEvent) -> str:
"""Join the user's current Discord voice channel."""
from gateway.platforms.discord import DiscordAdapter
adapter = self.adapters.get(event.source.platform)
if not hasattr(adapter, "join_voice_channel"):
if not isinstance(adapter, DiscordAdapter):
return "Voice channels are not supported on this platform."
guild_id = self._get_guild_id(event)
@@ -6139,10 +6078,8 @@ class GatewayRunner:
# Wire callbacks BEFORE join so voice input arriving immediately
# after connection is not lost.
if hasattr(adapter, "_voice_input_callback"):
adapter._voice_input_callback = self._handle_voice_channel_input
if hasattr(adapter, "_on_voice_disconnect"):
adapter._on_voice_disconnect = self._handle_voice_timeout_cleanup
adapter._voice_input_callback = self._handle_voice_channel_input
adapter._on_voice_disconnect = self._handle_voice_timeout_cleanup
try:
success = await adapter.join_voice_channel(voice_channel)
@@ -6159,8 +6096,7 @@ class GatewayRunner:
if success:
adapter._voice_text_channels[guild_id] = int(event.source.chat_id)
if hasattr(adapter, "_voice_sources"):
adapter._voice_sources[guild_id] = event.source.to_dict()
adapter._voice_sources[guild_id] = event.source.to_dict()
self._voice_mode[self._voice_key(event.source.platform, event.source.chat_id)] = "all"
self._save_voice_modes()
self._set_adapter_auto_tts_disabled(adapter, event.source.chat_id, disabled=False)
@@ -6174,13 +6110,14 @@ class GatewayRunner:
async def _handle_voice_channel_leave(self, event: MessageEvent) -> str:
"""Leave the Discord voice channel."""
from gateway.platforms.discord import DiscordAdapter
adapter = self.adapters.get(event.source.platform)
guild_id = self._get_guild_id(event)
if not guild_id or not hasattr(adapter, "leave_voice_channel"):
if not guild_id or not isinstance(adapter, DiscordAdapter):
return "Not in a voice channel."
if not hasattr(adapter, "is_in_voice_channel") or not adapter.is_in_voice_channel(guild_id):
if not adapter.is_in_voice_channel(guild_id):
return "Not in a voice channel."
try:
@@ -6191,8 +6128,7 @@ class GatewayRunner:
self._voice_mode[self._voice_key(event.source.platform, event.source.chat_id)] = "off"
self._save_voice_modes()
self._set_adapter_auto_tts_disabled(adapter, event.source.chat_id, disabled=True)
if hasattr(adapter, "_voice_input_callback"):
adapter._voice_input_callback = None
adapter._voice_input_callback = None
return "Left voice channel."
def _handle_voice_timeout_cleanup(self, chat_id: str) -> None:
@@ -6352,13 +6288,13 @@ class GatewayRunner:
adapter = self.adapters.get(event.source.platform)
# If connected to a voice channel, play there instead of sending a file
from gateway.platforms.discord import DiscordAdapter
guild_id = self._get_guild_id(event)
if (guild_id
and hasattr(adapter, "play_in_voice_channel")
and hasattr(adapter, "is_in_voice_channel")
and isinstance(adapter, DiscordAdapter)
and adapter.is_in_voice_channel(guild_id)):
await adapter.play_in_voice_channel(guild_id, actual_path)
elif adapter and hasattr(adapter, "send_voice"):
elif adapter:
send_kwargs: Dict[str, Any] = {
"chat_id": event.source.chat_id,
"audio_path": actual_path,
@@ -7131,7 +7067,10 @@ class GatewayRunner:
tmp_agent._print_fn = lambda *a, **kw: None
compressor = tmp_agent.context_compressor
if not compressor.has_content_to_compress(msgs):
compress_start = compressor.protect_first_n
compress_start = compressor._align_boundary_forward(msgs, compress_start)
compress_end = compressor._find_tail_cut_by_tokens(msgs, compress_start)
if compress_start >= compress_end:
return "Nothing to compress yet (the transcript is still all protected context)."
loop = asyncio.get_running_loop()
@@ -8728,12 +8667,7 @@ class GatewayRunner:
override = self._session_model_overrides.get(session_key)
return override is not None and override.get("model") == agent_model
def _release_running_agent_state(
self,
session_key: str,
*,
run_generation: Optional[int] = None,
) -> bool:
def _release_running_agent_state(self, session_key: str) -> None:
"""Pop ALL per-running-agent state entries for ``session_key``.
Replaces ad-hoc ``del self._running_agents[key]`` calls scattered
@@ -8749,25 +8683,13 @@ class GatewayRunner:
across turns (``_session_model_overrides``, ``_voice_mode``,
``_pending_approvals``, ``_update_prompt_pending``) is NOT
touched here those have their own lifecycles.
When ``run_generation`` is provided, only clear the slot if that
generation is still current for the session. This prevents an
older async run whose generation was bumped by /stop or /new from
clobbering a newer run's state during its own unwind. Returns
True when the slot was cleared, False when an ownership guard
blocked it.
"""
if not session_key:
return False
if run_generation is not None and not self._is_session_run_current(
session_key, run_generation
):
return False
return
self._running_agents.pop(session_key, None)
self._running_agents_ts.pop(session_key, None)
if hasattr(self, "_busy_ack_ts"):
self._busy_ack_ts.pop(session_key, None)
return True
def _clear_session_boundary_security_state(self, session_key: str) -> None:
"""Clear approval state that must not survive a real conversation switch."""
@@ -10329,24 +10251,10 @@ class GatewayRunner:
# Wait for agent to be created
while agent_holder[0] is None:
await asyncio.sleep(0.05)
if not session_key:
return
# Only promote the sentinel to the real agent if this run is still
# current. If /stop or /new bumped the generation while we were
# spinning up, leave the newer run's slot alone — we'll be
# discarded by the stale-result check in _handle_message_with_agent.
if run_generation is not None and not self._is_session_run_current(
session_key, run_generation
):
logger.info(
"Skipping stale agent promotion for %s — generation %s is no longer current",
(session_key or "")[:20],
run_generation,
)
return
self._running_agents[session_key] = agent_holder[0]
if self._draining:
self._update_runtime_status("draining")
if session_key:
self._running_agents[session_key] = agent_holder[0]
if self._draining:
self._update_runtime_status("draining")
tracking_task = asyncio.create_task(track_agent())
@@ -10401,9 +10309,9 @@ class GatewayRunner:
# Periodic "still working" notifications for long-running tasks.
# Fires every N seconds so the user knows the agent hasn't died.
# Config: agent.gateway_notify_interval in config.yaml, or
# HERMES_AGENT_NOTIFY_INTERVAL env var. Default 180s (3 min).
# HERMES_AGENT_NOTIFY_INTERVAL env var. Default 600s (10 min).
# 0 = disable notifications.
_NOTIFY_INTERVAL_RAW = float(os.getenv("HERMES_AGENT_NOTIFY_INTERVAL", 180))
_NOTIFY_INTERVAL_RAW = float(os.getenv("HERMES_AGENT_NOTIFY_INTERVAL", 600))
_NOTIFY_INTERVAL = _NOTIFY_INTERVAL_RAW if _NOTIFY_INTERVAL_RAW > 0 else None
_notify_start = time.time()
@@ -10582,6 +10490,7 @@ class GatewayRunner:
if _timed_out_agent and hasattr(_timed_out_agent, "interrupt"):
_timed_out_agent.interrupt(_INTERRUPT_REASON_TIMEOUT)
assert _agent_timeout is not None # narrowed by _idle_secs >= _agent_timeout above
_timeout_mins = int(_agent_timeout // 60) or 1
# Construct a user-facing message with diagnostic context.
@@ -10700,7 +10609,7 @@ class GatewayRunner:
pending = None
if pending_event or pending:
logger.debug("Processing pending message: '%s...'", pending[:40])
logger.debug("Processing pending message: '%s...'", (pending or "")[:40])
# Clear the adapter's interrupt event so the next _run_agent call
# doesn't immediately re-trigger the interrupt before the new agent
@@ -10719,8 +10628,6 @@ class GatewayRunner:
adapter = self.adapters.get(source.platform)
if adapter and pending_event:
merge_pending_message_event(adapter._pending_messages, session_key, pending_event)
elif adapter and hasattr(adapter, 'queue_message'):
adapter.queue_message(session_key, pending)
return result_holder[0] or {"final_response": response, "messages": history}
was_interrupted = result.get("interrupted")
@@ -10802,7 +10709,7 @@ class GatewayRunner:
history=updated_history,
)
if next_message is None:
return result
return result # ty: ignore[invalid-return-type]
next_message_id = getattr(pending_event, "message_id", None)
next_channel_prompt = getattr(pending_event, "channel_prompt", None)
@@ -10852,14 +10759,7 @@ class GatewayRunner:
# Clean up tracking
tracking_task.cancel()
if session_key:
# Only release the slot if this run's generation still owns
# it. A /stop or /new that bumped the generation while we
# were unwinding has already installed its own state; this
# guard prevents an old run from clobbering it on the way
# out.
self._release_running_agent_state(
session_key, run_generation=run_generation
)
self._release_running_agent_state(session_key)
if self._draining:
self._update_runtime_status("draining")
@@ -10982,7 +10882,6 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
from gateway.status import (
acquire_gateway_runtime_lock,
get_running_pid,
get_process_start_time,
release_gateway_runtime_lock,
remove_pid_file,
terminate_pid,
@@ -10990,7 +10889,6 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
existing_pid = get_running_pid()
if existing_pid is not None and existing_pid != os.getpid():
if replace:
existing_start_time = get_process_start_time(existing_pid)
logger.info(
"Replacing existing gateway instance (PID %d) with --replace.",
existing_pid,
@@ -11059,10 +10957,7 @@ async def start_gateway(config: Optional[GatewayConfig] = None, replace: bool =
# leaving stale lock files that block the new gateway from starting.
try:
from gateway.status import release_all_scoped_locks
_released = release_all_scoped_locks(
owner_pid=existing_pid,
owner_start_time=existing_start_time,
)
_released = release_all_scoped_locks()
if _released:
logger.info("Released %d stale scoped lock(s) from old gateway.", _released)
except Exception:
+3 -34
View File
@@ -113,11 +113,6 @@ def _get_process_start_time(pid: int) -> Optional[int]:
return None
def get_process_start_time(pid: int) -> Optional[int]:
"""Public wrapper for retrieving a process start time when available."""
return _get_process_start_time(pid)
def _read_process_cmdline(pid: int) -> Optional[str]:
"""Return the process command line as a space-separated string."""
cmdline_path = Path(f"/proc/{pid}/cmdline")
@@ -567,43 +562,17 @@ def release_scoped_lock(scope: str, identity: str) -> None:
pass
def release_all_scoped_locks(
*,
owner_pid: Optional[int] = None,
owner_start_time: Optional[int] = None,
) -> int:
"""Remove scoped lock files in the lock directory.
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. When an
``owner_pid`` is provided, only lock records belonging to that gateway
process are removed. ``owner_start_time`` further narrows the match to
protect against PID reuse.
When no owner is provided, preserves the legacy behavior and removes every
scoped lock file in the directory.
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"):
if owner_pid is not None:
record = _read_json_file(lock_file)
if not isinstance(record, dict):
continue
try:
record_pid = int(record.get("pid"))
except (TypeError, ValueError):
continue
if record_pid != owner_pid:
continue
if (
owner_start_time is not None
and record.get("start_time") != owner_start_time
):
continue
try:
lock_file.unlink(missing_ok=True)
removed += 1
+2 -2
View File
@@ -11,5 +11,5 @@ Provides subcommands for:
- hermes cron - Manage cron jobs
"""
__version__ = "0.11.0"
__release_date__ = "2026.4.23"
__version__ = "0.10.0"
__release_date__ = "2026.4.16"
+109 -935
View File
File diff suppressed because it is too large Load Diff
+3 -72
View File
@@ -110,40 +110,18 @@ def _display_source(source: str) -> str:
return source.split(":", 1)[1] if source.startswith("manual:") else source
def _classify_exhausted_status(entry) -> tuple[str, bool]:
code = getattr(entry, "last_error_code", None)
reason = str(getattr(entry, "last_error_reason", "") or "").strip().lower()
message = str(getattr(entry, "last_error_message", "") or "").strip().lower()
if code == 429 or any(token in reason for token in ("rate_limit", "usage_limit", "quota", "exhausted")) or any(
token in message for token in ("rate limit", "usage limit", "quota", "too many requests")
):
return "rate-limited", True
if code in {401, 403} or any(token in reason for token in ("invalid_token", "invalid_grant", "unauthorized", "forbidden", "auth")) or any(
token in message for token in ("unauthorized", "forbidden", "expired", "revoked", "invalid token", "authentication")
):
return "auth failed", False
return "exhausted", True
def _format_exhausted_status(entry) -> str:
if entry.last_status != STATUS_EXHAUSTED:
return ""
label, show_retry_window = _classify_exhausted_status(entry)
reason = getattr(entry, "last_error_reason", None)
reason_text = f" {reason}" if isinstance(reason, str) and reason.strip() else ""
code = f" ({entry.last_error_code})" if entry.last_error_code else ""
if not show_retry_window:
return f" {label}{reason_text}{code} (re-auth may be required)"
exhausted_until = _exhausted_until(entry)
if exhausted_until is None:
return f" {label}{reason_text}{code}"
return f" exhausted{reason_text}{code}"
remaining = max(0, int(math.ceil(exhausted_until - time.time())))
if remaining <= 0:
return f" {label}{reason_text}{code} (ready to retry)"
return f" exhausted{reason_text}{code} (ready to retry)"
minutes, seconds = divmod(remaining, 60)
hours, minutes = divmod(minutes, 60)
days, hours = divmod(hours, 24)
@@ -155,7 +133,7 @@ def _format_exhausted_status(entry) -> str:
wait = f"{minutes}m {seconds}s"
else:
wait = f"{seconds}s"
return f" {label}{reason_text}{code} ({wait} left)"
return f" exhausted{reason_text}{code} ({wait} left)"
def auth_add_command(args) -> None:
@@ -408,44 +386,6 @@ def auth_reset_command(args) -> None:
print(f"Reset status on {count} {provider} credentials")
def auth_status_command(args) -> None:
provider = _normalize_provider(getattr(args, "provider", "") or "")
if not provider:
raise SystemExit("Provider is required. Example: `hermes auth status spotify`.")
status = auth_mod.get_auth_status(provider)
if not status.get("logged_in"):
reason = status.get("error")
if reason:
print(f"{provider}: logged out ({reason})")
else:
print(f"{provider}: logged out")
return
print(f"{provider}: logged in")
for key in ("auth_type", "client_id", "redirect_uri", "scope", "expires_at", "api_base_url"):
value = status.get(key)
if value:
print(f" {key}: {value}")
def auth_logout_command(args) -> None:
auth_mod.logout_command(SimpleNamespace(provider=getattr(args, "provider", None)))
def auth_spotify_command(args) -> None:
action = str(getattr(args, "spotify_action", "") or "login").strip().lower()
if action in {"", "login"}:
auth_mod.login_spotify_command(args)
return
if action == "status":
auth_status_command(SimpleNamespace(provider="spotify"))
return
if action == "logout":
auth_logout_command(SimpleNamespace(provider="spotify"))
return
raise SystemExit(f"Unknown Spotify auth action: {action}")
def _interactive_auth() -> None:
"""Interactive credential pool management when `hermes auth` is called bare."""
# Show current pool status first
@@ -643,14 +583,5 @@ def auth_command(args) -> None:
if action == "reset":
auth_reset_command(args)
return
if action == "status":
auth_status_command(args)
return
if action == "logout":
auth_logout_command(args)
return
if action == "spotify":
auth_spotify_command(args)
return
# No subcommand — launch interactive mode
_interactive_auth()
+1 -54
View File
@@ -238,52 +238,6 @@ def get_git_banner_state(repo_dir: Optional[Path] = None) -> Optional[dict]:
return {"upstream": upstream, "local": local, "ahead": max(ahead, 0)}
_RELEASE_URL_BASE = "https://github.com/NousResearch/hermes-agent/releases/tag"
_latest_release_cache: Optional[tuple] = None # (tag, url) once resolved
def get_latest_release_tag(repo_dir: Optional[Path] = None) -> Optional[tuple]:
"""Return ``(tag, release_url)`` for the latest git tag, or None.
Local-only runs ``git describe --tags --abbrev=0`` against the
Hermes checkout. Cached per-process. Release URL always points at the
canonical NousResearch/hermes-agent repo (forks don't get a link).
"""
global _latest_release_cache
if _latest_release_cache is not None:
return _latest_release_cache or None
repo_dir = repo_dir or _resolve_repo_dir()
if repo_dir is None:
_latest_release_cache = () # falsy sentinel — skip future lookups
return None
try:
result = subprocess.run(
["git", "describe", "--tags", "--abbrev=0"],
capture_output=True,
text=True,
timeout=3,
cwd=str(repo_dir),
)
except Exception:
_latest_release_cache = ()
return None
if result.returncode != 0:
_latest_release_cache = ()
return None
tag = (result.stdout or "").strip()
if not tag:
_latest_release_cache = ()
return None
url = f"{_RELEASE_URL_BASE}/{tag}"
_latest_release_cache = (tag, url)
return _latest_release_cache
def format_banner_version_label() -> str:
"""Return the version label shown in the startup banner title."""
base = f"Hermes Agent v{VERSION} ({RELEASE_DATE})"
@@ -565,16 +519,9 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
agent_name = _skin_branding("agent_name", "Hermes Agent")
title_color = _skin_color("banner_title", "#FFD700")
border_color = _skin_color("banner_border", "#CD7F32")
version_label = format_banner_version_label()
release_info = get_latest_release_tag()
if release_info:
_tag, _url = release_info
title_markup = f"[bold {title_color}][link={_url}]{version_label}[/link][/]"
else:
title_markup = f"[bold {title_color}]{version_label}[/]"
outer_panel = Panel(
layout_table,
title=title_markup,
title=f"[bold {title_color}]{format_banner_version_label()}[/]",
border_style=border_color,
padding=(0, 2),
)
+9 -4
View File
@@ -276,7 +276,7 @@ def _get_ps_exe() -> str | None:
global _ps_exe
if _ps_exe is False:
_ps_exe = _find_powershell()
return _ps_exe
return _ps_exe if isinstance(_ps_exe, str) else None
def _windows_has_image() -> bool:
@@ -387,6 +387,8 @@ def _wayland_save(dest: Path) -> bool:
except FileNotFoundError:
logger.debug("wl-paste not installed — Wayland clipboard unavailable")
except ImportError:
raise
except Exception as e:
logger.debug("wl-paste clipboard extraction failed: %s", e)
dest.unlink(missing_ok=True)
@@ -395,14 +397,17 @@ def _wayland_save(dest: Path) -> bool:
def _convert_to_png(path: Path) -> bool:
"""Convert an image file to PNG in-place (requires Pillow or ImageMagick)."""
# Try Pillow first (likely installed in the venv)
try:
from PIL import Image
except ImportError:
raise ImportError(
"Pillow is required for clipboard image conversion. "
"Install with: pip install hermes-agent[cli]"
) from None
try:
img = Image.open(path)
img.save(path, "PNG")
return True
except ImportError:
pass
except Exception as e:
logger.debug("Pillow BMP→PNG conversion failed: %s", e)
-2
View File
@@ -12,7 +12,6 @@ import os
logger = logging.getLogger(__name__)
DEFAULT_CODEX_MODELS: List[str] = [
"gpt-5.5",
"gpt-5.4-mini",
"gpt-5.4",
"gpt-5.3-codex",
@@ -22,7 +21,6 @@ DEFAULT_CODEX_MODELS: List[str] = [
]
_FORWARD_COMPAT_TEMPLATE_MODELS: List[tuple[str, tuple[str, ...]]] = [
("gpt-5.5", ("gpt-5.4", "gpt-5.4-mini", "gpt-5.3-codex")),
("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",)),
+7 -7
View File
@@ -77,7 +77,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
CommandDef("rollback", "List or restore filesystem checkpoints", "Session",
args_hint="[number]"),
CommandDef("snapshot", "Create or restore state snapshots of Hermes config/state", "Session",
cli_only=True, aliases=("snap",), args_hint="[create|restore <id>|prune]"),
aliases=("snap",), args_hint="[create|restore <id>|prune]"),
CommandDef("stop", "Kill all running background processes", "Session"),
CommandDef("approve", "Approve a pending dangerous command", "Session",
gateway_only=True, args_hint="[session|always]"),
@@ -104,8 +104,9 @@ COMMAND_REGISTRY: list[CommandDef] = [
CommandDef("config", "Show current configuration", "Configuration",
cli_only=True),
CommandDef("model", "Switch model for this session", "Configuration", args_hint="[model] [--provider name] [--global]"),
CommandDef("gquota", "Show Google Gemini Code Assist quota usage", "Info",
cli_only=True),
CommandDef("provider", "Show available providers and current provider",
"Configuration"),
CommandDef("gquota", "Show Google Gemini Code Assist quota usage", "Info"),
CommandDef("personality", "Set a predefined personality", "Configuration",
args_hint="[name]"),
@@ -123,7 +124,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
args_hint="[normal|fast|status]",
subcommands=("normal", "fast", "status", "on", "off")),
CommandDef("skin", "Show or change the display skin/theme", "Configuration",
cli_only=True, args_hint="[name]"),
args_hint="[name]"),
CommandDef("voice", "Toggle voice mode", "Configuration",
args_hint="[on|off|tts|status]", subcommands=("on", "off", "tts", "status")),
@@ -138,8 +139,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
CommandDef("cron", "Manage scheduled tasks", "Tools & Skills",
cli_only=True, args_hint="[subcommand]",
subcommands=("list", "add", "create", "edit", "pause", "resume", "run", "remove")),
CommandDef("reload", "Reload .env variables into the running session", "Tools & Skills",
cli_only=True),
CommandDef("reload", "Reload .env variables into the running session", "Tools & Skills"),
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",
@@ -317,7 +317,7 @@ def should_bypass_active_session(command_name: str | None) -> bool:
safety net in gateway.run discards any command text that reaches
the pending queue which meant a mid-run /model (or /reasoning,
/voice, /insights, /title, /resume, /retry, /undo, /compress,
/usage, /reload-mcp, /sethome, /reset) would silently
/usage, /provider, /reload-mcp, /sethome, /reset) would silently
interrupt the agent AND get discarded, producing a zero-char
response. See issue #5057 / PRs #6252, #10370, #4665.
+14 -80
View File
@@ -361,15 +361,6 @@ DEFAULT_CONFIG = {
# to finish, then interrupts any remaining runs after the timeout.
# 0 = no drain, interrupt immediately.
"restart_drain_timeout": 60,
# Max app-level retry attempts for API errors (connection drops,
# provider timeouts, 5xx, etc.) before the agent surfaces the
# failure. The OpenAI SDK already does its own low-level retries
# (max_retries=2 default) for transient network errors; this is
# the Hermes-level retry loop that wraps the whole call. Lower
# this to 1 if you use fallback providers and want fast failover
# on flaky primaries; raise it if you prefer to tolerate longer
# provider hiccups on a single provider.
"api_max_retries": 3,
"service_tier": "",
# Tool-use enforcement: injects system prompt guidance that tells the
# model to actually call tools instead of describing intended actions.
@@ -384,11 +375,7 @@ DEFAULT_CONFIG = {
# Periodic "still working" notification interval (seconds).
# Sends a status message every N seconds so the user knows the
# agent hasn't died during long tasks. 0 = disable notifications.
# Lower values mean faster feedback on slow tasks but more chat
# noise; 180s is a compromise that catches spinning weak-model runs
# (60+ tool iterations with tiny output) before users assume the
# bot is dead and /restart.
"gateway_notify_interval": 180,
"gateway_notify_interval": 600,
},
"terminal": {
@@ -407,23 +394,17 @@ DEFAULT_CONFIG = {
# (bash doesn't source bashrc in non-interactive login mode) or
# zsh-specific files like ``~/.zshrc`` / ``~/.zprofile``.
# Paths support ``~`` / ``${VAR}``. Missing files are silently
# skipped. When empty, Hermes auto-sources ``~/.profile``,
# ``~/.bash_profile``, and ``~/.bashrc`` (in that order) if the
# skipped. When empty, Hermes auto-appends ``~/.bashrc`` if the
# snapshot shell is bash (this is the ``auto_source_bashrc``
# behaviour — disable with that key if you want strict login-only
# semantics).
"shell_init_files": [],
# When true (default), Hermes sources the user's shell rc files
# (``~/.profile``, ``~/.bash_profile``, ``~/.bashrc``) in the
# login shell used to build the environment snapshot. This
# captures PATH additions, shell functions, and aliases — which a
# plain ``bash -l -c`` would otherwise miss because bash skips
# bashrc in non-interactive login mode, and because a default
# Debian/Ubuntu ``~/.bashrc`` short-circuits on non-interactive
# sources. ``~/.profile`` and ``~/.bash_profile`` are tried first
# because ``n`` / ``nvm`` / ``asdf`` installers typically write
# their PATH exports there without an interactivity guard. Turn
# this off if your rc files misbehave when sourced
# When true (default), Hermes sources ``~/.bashrc`` in the login
# shell used to build the environment snapshot. This captures
# PATH additions, shell functions, and aliases defined in the
# user's bashrc — which a plain ``bash -l -c`` would otherwise
# miss because bash skips bashrc in non-interactive login mode.
# Turn this off if you have a bashrc that misbehaves when sourced
# non-interactively (e.g. one that hard-exits on TTY checks).
"auto_source_bashrc": True,
"docker_image": "nikolaik/python-nodejs:python3.11-nodejs20",
@@ -466,12 +447,6 @@ DEFAULT_CONFIG = {
"record_sessions": False, # Auto-record browser sessions as WebM videos
"allow_private_urls": False, # Allow navigating to private/internal IPs (localhost, 192.168.x.x, etc.)
"cdp_url": "", # Optional persistent CDP endpoint for attaching to an existing Chromium/Chrome
# CDP supervisor — dialog + frame detection via a persistent WebSocket.
# Active only when a CDP-capable backend is attached (Browserbase or
# local Chrome via /browser connect). See
# website/docs/developer-guide/browser-supervisor.md.
"dialog_policy": "must_respond", # must_respond | auto_dismiss | auto_accept
"dialog_timeout_s": 300, # Safety auto-dismiss after N seconds under must_respond
"camofox": {
# When true, Hermes sends a stable profile-scoped userId to Camofox
# so the server maps it to a persistent Firefox profile automatically.
@@ -492,27 +467,7 @@ DEFAULT_CONFIG = {
# exceed this are rejected with guidance to use offset+limit.
# 100K chars ≈ 2535K tokens across typical tokenisers.
"file_read_max_chars": 100_000,
# Tool-output truncation thresholds. When terminal output or a
# single read_file page exceeds these limits, Hermes truncates the
# payload sent to the model (keeping head + tail for terminal,
# enforcing pagination for read_file). Tuning these trades context
# footprint against how much raw output the model can see in one
# shot. Ported from anomalyco/opencode PR #23770.
#
# - max_bytes: terminal_tool output cap, in chars
# (default 50_000 ≈ 12-15K tokens).
# - max_lines: read_file pagination cap — the maximum `limit`
# a single read_file call can request before
# being clamped (default 2000).
# - max_line_length: per-line cap applied when read_file emits a
# line-numbered view (default 2000 chars).
"tool_output": {
"max_bytes": 50_000,
"max_lines": 2000,
"max_line_length": 2000,
},
"compression": {
"enabled": True,
"threshold": 0.50, # compress when context usage exceeds this ratio
@@ -521,12 +476,6 @@ DEFAULT_CONFIG = {
},
# Anthropic prompt caching (Claude via OpenRouter or native Anthropic API).
# cache_ttl must be "5m" or "1h" (Anthropic-supported tiers); other values are ignored.
"prompt_caching": {
"cache_ttl": "5m",
},
# AWS Bedrock provider configuration.
# Only used when model.provider is "bedrock".
"bedrock": {
@@ -771,10 +720,6 @@ DEFAULT_CONFIG = {
"inherit_mcp_toolsets": True,
"max_iterations": 50, # per-subagent iteration cap (each subagent gets its own budget,
# independent of the parent's max_iterations)
"child_timeout_seconds": 600, # wall-clock timeout for each child agent (floor 30s,
# no ceiling). High-reasoning models on large tasks
# (e.g. gpt-5.5 xhigh, opus-4.6) need generous budgets;
# raise if children time out before producing output.
"reasoning_effort": "", # reasoning effort for subagents: "xhigh", "high", "medium",
# "low", "minimal", "none" (empty = inherit parent's level)
"max_concurrent_children": 3, # max parallel children per batch; floor of 1 enforced, no ceiling
@@ -809,17 +754,6 @@ DEFAULT_CONFIG = {
"inline_shell": False,
# Timeout (seconds) for each !`cmd` snippet when inline_shell is on.
"inline_shell_timeout": 10,
# Run the keyword/pattern security scanner on skills the agent
# writes via skill_manage (create/edit/patch). Off by default
# because the agent can already execute the same code paths via
# terminal() with no gate, so the scan adds friction (blocks
# skills that mention risky keywords in prose) without meaningful
# security. Turn on if you want the belt-and-suspenders — a
# dangerous verdict will then surface as a tool error to the
# agent, which can retry with the flagged content removed.
# External hub installs (trusted/community sources) are always
# scanned regardless of this setting.
"guard_agent_created": False,
},
# Honcho AI-native memory -- reads ~/.honcho/config.json as single source of truth.
@@ -1340,7 +1274,7 @@ OPTIONAL_ENV_VARS = {
"advanced": True,
},
"XIAOMI_API_KEY": {
"description": "Xiaomi MiMo API key for MiMo models (mimo-v2.5-pro, mimo-v2.5, mimo-v2-pro, mimo-v2-omni, mimo-v2-flash)",
"description": "Xiaomi MiMo API key for MiMo models (mimo-v2-pro, mimo-v2-omni, mimo-v2-flash)",
"prompt": "Xiaomi MiMo API Key",
"url": "https://platform.xiaomimimo.com",
"password": True,
@@ -1970,7 +1904,7 @@ def get_missing_config_fields() -> List[Dict[str, Any]]:
config = load_config()
missing = []
def _check(defaults: dict, current: dict, prefix: str = ""):
def _check(defaults: Dict[str, Any], current: Dict[str, Any], prefix: str = ""):
for key, default_value in defaults.items():
if key.startswith('_'):
continue
@@ -2212,8 +2146,8 @@ def check_config_version() -> Tuple[int, int]:
Returns (current_version, latest_version).
"""
config = load_config()
current = config.get("_config_version", 0)
latest = DEFAULT_CONFIG.get("_config_version", 1)
current = int(config.get("_config_version", 0))
latest = int(DEFAULT_CONFIG.get("_config_version", 1))
return current, latest
@@ -2933,7 +2867,7 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
return results
def _deep_merge(base: dict, override: dict) -> dict:
def _deep_merge(base: Dict[str, Any], override: Dict[str, Any]) -> Dict[str, Any]:
"""Recursively merge *override* into *base*, preserving nested defaults.
Keys in *override* take precedence. If both values are dicts the merge
-93
View File
@@ -275,99 +275,6 @@ def copilot_device_code_login(
return None
# ─── Copilot Token Exchange ────────────────────────────────────────────────
# Module-level cache for exchanged Copilot API tokens.
# Maps raw_token_fingerprint -> (api_token, expires_at_epoch).
_jwt_cache: dict[str, tuple[str, float]] = {}
_JWT_REFRESH_MARGIN_SECONDS = 120 # refresh 2 min before expiry
# Token exchange endpoint and headers (matching VS Code / Copilot CLI)
_TOKEN_EXCHANGE_URL = "https://api.github.com/copilot_internal/v2/token"
_EDITOR_VERSION = "vscode/1.104.1"
_EXCHANGE_USER_AGENT = "GitHubCopilotChat/0.26.7"
def _token_fingerprint(raw_token: str) -> str:
"""Short fingerprint of a raw token for cache keying (avoids storing full token)."""
import hashlib
return hashlib.sha256(raw_token.encode()).hexdigest()[:16]
def exchange_copilot_token(raw_token: str, *, timeout: float = 10.0) -> tuple[str, float]:
"""Exchange a raw GitHub token for a short-lived Copilot API token.
Calls ``GET https://api.github.com/copilot_internal/v2/token`` with
the raw GitHub token and returns ``(api_token, expires_at)``.
The returned token is a semicolon-separated string (not a standard JWT)
used as ``Authorization: Bearer <token>`` for Copilot API requests.
Results are cached in-process and reused until close to expiry.
Raises ``ValueError`` on failure.
"""
import urllib.request
fp = _token_fingerprint(raw_token)
# Check cache first
cached = _jwt_cache.get(fp)
if cached:
api_token, expires_at = cached
if time.time() < expires_at - _JWT_REFRESH_MARGIN_SECONDS:
return api_token, expires_at
req = urllib.request.Request(
_TOKEN_EXCHANGE_URL,
method="GET",
headers={
"Authorization": f"token {raw_token}",
"User-Agent": _EXCHANGE_USER_AGENT,
"Accept": "application/json",
"Editor-Version": _EDITOR_VERSION,
},
)
try:
with urllib.request.urlopen(req, timeout=timeout) as resp:
data = json.loads(resp.read().decode())
except Exception as exc:
raise ValueError(f"Copilot token exchange failed: {exc}") from exc
api_token = data.get("token", "")
expires_at = data.get("expires_at", 0)
if not api_token:
raise ValueError("Copilot token exchange returned empty token")
# Convert expires_at to float if needed
expires_at = float(expires_at) if expires_at else time.time() + 1800
_jwt_cache[fp] = (api_token, expires_at)
logger.debug(
"Copilot token exchanged, expires_at=%s",
expires_at,
)
return api_token, expires_at
def get_copilot_api_token(raw_token: str) -> str:
"""Exchange a raw GitHub token for a Copilot API token, with fallback.
Convenience wrapper: returns the exchanged token on success, or the
raw token unchanged if the exchange fails (e.g. network error, unsupported
account type). This preserves existing behaviour for accounts that don't
need exchange while enabling access to internal-only models for those that do.
"""
if not raw_token:
return raw_token
try:
api_token, _ = exchange_copilot_token(raw_token)
return api_token
except Exception as exc:
logger.debug("Copilot token exchange failed, using raw token: %s", exc)
return raw_token
# ─── Copilot API Headers ───────────────────────────────────────────────────
def copilot_request_headers(
-9
View File
@@ -93,9 +93,6 @@ def cron_list(show_all: bool = False):
script = job.get("script")
if script:
print(f" Script: {script}")
workdir = job.get("workdir")
if workdir:
print(f" Workdir: {workdir}")
# Execution history
last_status = job.get("last_status")
@@ -171,7 +168,6 @@ def cron_create(args):
skill=getattr(args, "skill", None),
skills=_normalize_skills(getattr(args, "skill", None), getattr(args, "skills", None)),
script=getattr(args, "script", None),
workdir=getattr(args, "workdir", None),
)
if not result.get("success"):
print(color(f"Failed to create job: {result.get('error', 'unknown error')}", Colors.RED))
@@ -184,8 +180,6 @@ def cron_create(args):
job_data = result.get("job", {})
if job_data.get("script"):
print(f" Script: {job_data['script']}")
if job_data.get("workdir"):
print(f" Workdir: {job_data['workdir']}")
print(f" Next run: {result['next_run_at']}")
return 0
@@ -224,7 +218,6 @@ def cron_edit(args):
repeat=getattr(args, "repeat", None),
skills=final_skills,
script=getattr(args, "script", None),
workdir=getattr(args, "workdir", None),
)
if not result.get("success"):
print(color(f"Failed to update job: {result.get('error', 'unknown error')}", Colors.RED))
@@ -240,8 +233,6 @@ def cron_edit(args):
print(" Skills: none")
if updated.get("script"):
print(f" Script: {updated['script']}")
if updated.get("workdir"):
print(f" Workdir: {updated['workdir']}")
return 0
+2 -2
View File
@@ -18,7 +18,7 @@ import os
import sys
import time
import logging
from typing import Optional, Tuple
from typing import Any, Callable, Optional, Tuple
import requests
@@ -108,7 +108,7 @@ def wait_for_registration_success(
device_code: str,
interval: int = 3,
expires_in: int = 7200,
on_waiting: Optional[callable] = None,
on_waiting: Optional[Callable[..., Any]] = None,
) -> Tuple[str, str]:
"""Block until the registration succeeds or times out.
+8 -29
View File
@@ -29,7 +29,6 @@ if _env_path.exists():
load_dotenv(PROJECT_ROOT / ".env", override=False, encoding="utf-8")
from hermes_cli.colors import Colors, color
from hermes_cli.models import _HERMES_USER_AGENT
from hermes_constants import OPENROUTER_MODELS_URL
from utils import base_url_host_matches
@@ -296,33 +295,16 @@ def run_doctor(args):
except Exception:
pass
try:
from hermes_cli.config import get_compatible_custom_providers as _compatible_custom_providers
from hermes_cli.providers import resolve_provider_full as _resolve_provider_full
from hermes_cli.auth import resolve_provider as _resolve_provider
except Exception:
_compatible_custom_providers = None
_resolve_provider_full = None
custom_providers = []
if _compatible_custom_providers is not None:
try:
custom_providers = _compatible_custom_providers(cfg)
except Exception:
custom_providers = []
user_providers = cfg.get("providers")
if isinstance(user_providers, dict):
known_providers.update(str(name).strip().lower() for name in user_providers if str(name).strip())
for entry in custom_providers:
if not isinstance(entry, dict):
continue
name = str(entry.get("name") or "").strip()
if name:
known_providers.add("custom:" + name.lower().replace(" ", "-"))
_resolve_provider = None
canonical_provider = provider
if provider and _resolve_provider_full is not None and provider != "auto":
provider_def = _resolve_provider_full(provider, user_providers, custom_providers)
canonical_provider = provider_def.id if provider_def is not None else None
if provider and _resolve_provider is not None and provider != "auto":
try:
canonical_provider = _resolve_provider(provider)
except Exception:
canonical_provider = None
if provider and provider != "auto":
if canonical_provider is None or (known_providers and canonical_provider not in known_providers):
@@ -975,10 +957,7 @@ def run_doctor(args):
if base_url_host_matches(_base, "api.kimi.com") and _base.rstrip("/").endswith("/coding"):
_base = _base.rstrip("/") + "/v1"
_url = (_base.rstrip("/") + "/models") if _base else _default_url
_headers = {
"Authorization": f"Bearer {_key}",
"User-Agent": _HERMES_USER_AGENT,
}
_headers = {"Authorization": f"Bearer {_key}"}
if base_url_host_matches(_base, "api.kimi.com"):
_headers["User-Agent"] = "claude-code/0.1.0"
_resp = httpx.get(
-2
View File
@@ -267,8 +267,6 @@ def run_dump(args):
("ANTHROPIC_API_KEY", "anthropic"),
("ANTHROPIC_TOKEN", "anthropic_token"),
("NOUS_API_KEY", "nous"),
("GOOGLE_API_KEY", "google/gemini"),
("GEMINI_API_KEY", "gemini"),
("GLM_API_KEY", "glm/zai"),
("ZAI_API_KEY", "zai"),
("KIMI_API_KEY", "kimi"),
+7 -62
View File
@@ -175,60 +175,6 @@ def _request_gateway_self_restart(pid: int) -> bool:
return True
def _graceful_restart_via_sigusr1(pid: int, drain_timeout: float) -> bool:
"""Send SIGUSR1 to a gateway PID and wait for it to exit gracefully.
SIGUSR1 is wired in gateway/run.py to ``request_restart(via_service=True)``
which drains in-flight agent runs (up to ``agent.restart_drain_timeout``
seconds), then exits with code 75. Both systemd (``Restart=on-failure``
+ ``RestartForceExitStatus=75``) and launchd (``KeepAlive.SuccessfulExit
= false``) relaunch the process after the graceful exit.
This is the drain-aware alternative to ``systemctl restart`` / ``SIGTERM``,
which SIGKILL in-flight agents after a short timeout.
Args:
pid: Gateway process PID (systemd MainPID, launchd PID, or bare
process PID).
drain_timeout: Seconds to wait for the process to exit after sending
SIGUSR1. Should be slightly larger than the gateway's
``agent.restart_drain_timeout`` to allow the drain loop to
finish cleanly.
Returns:
True if the PID was signalled and exited within the timeout.
False if SIGUSR1 couldn't be sent or the process didn't exit in
time (caller should fall back to a harder restart path).
"""
if not hasattr(signal, "SIGUSR1"):
return False
if pid <= 0:
return False
try:
os.kill(pid, signal.SIGUSR1)
except ProcessLookupError:
# Already gone — nothing to drain.
return True
except (PermissionError, OSError):
return False
import time as _time
deadline = _time.monotonic() + max(drain_timeout, 1.0)
while _time.monotonic() < deadline:
try:
os.kill(pid, 0) # signal 0 — probe liveness
except ProcessLookupError:
return True
except PermissionError:
# Process still exists but we can't signal it. Treat as alive
# so the caller falls back.
pass
_time.sleep(0.5)
# Drain didn't finish in time.
return False
def _append_unique_pid(pids: list[int], pid: int | None, exclude_pids: set[int]) -> None:
if pid is None or pid <= 0:
return
@@ -1523,14 +1469,7 @@ def generate_systemd_unit(system: bool = False, run_as_user: str | None = None)
path_entries.append(resolved_node_dir)
common_bin_paths = ["/usr/local/sbin", "/usr/local/bin", "/usr/sbin", "/usr/bin", "/sbin", "/bin"]
# systemd's TimeoutStopSec must exceed the gateway's drain_timeout so
# there's budget left for post-interrupt cleanup (tool subprocess kill,
# adapter disconnect, session DB close) before systemd escalates to
# SIGKILL on the cgroup — otherwise bash/sleep tool-call children left
# by a force-interrupted agent get reaped by systemd instead of us
# (#8202). 30s of headroom covers the worst case we've observed.
_drain_timeout = int(_get_restart_drain_timeout() or 0)
restart_timeout = max(60, _drain_timeout) + 30
restart_timeout = max(60, int(_get_restart_drain_timeout() or 0))
if system:
username, group_name, home_dir = _system_service_identity(run_as_user)
@@ -3108,6 +3047,12 @@ def _setup_wecom():
print_success("💬 WeCom configured!")
def _setup_wecom_callback():
"""Configure WeCom Callback (self-built app) via the standard platform setup."""
wecom_platform = next(p for p in _PLATFORMS if p["key"] == "wecom_callback")
_setup_standard_platform(wecom_platform)
def _is_service_installed() -> bool:
"""Check if the gateway is installed as a system service."""
if supports_systemd_services():
+57 -321
View File
@@ -166,27 +166,6 @@ from hermes_cli.env_loader import load_hermes_dotenv
load_hermes_dotenv(project_env=PROJECT_ROOT / ".env")
# Bridge security.redact_secrets from config.yaml → HERMES_REDACT_SECRETS env
# var BEFORE hermes_logging imports agent.redact (which snapshots the flag at
# module-import time). Without this, config.yaml's toggle is ignored because
# the setup_logging() call below imports agent.redact, which reads the env var
# exactly once. Env var in .env still wins — this is config.yaml fallback only.
try:
if "HERMES_REDACT_SECRETS" not in os.environ:
import yaml as _yaml_early
_cfg_path = get_hermes_home() / "config.yaml"
if _cfg_path.exists():
with open(_cfg_path, encoding="utf-8") as _f:
_early_sec_cfg = (_yaml_early.safe_load(_f) or {}).get("security", {})
if isinstance(_early_sec_cfg, dict):
_early_redact = _early_sec_cfg.get("redact_secrets")
if _early_redact is not None:
os.environ["HERMES_REDACT_SECRETS"] = str(_early_redact).lower()
del _early_sec_cfg
del _cfg_path
except Exception:
pass # best-effort — redaction stays at default (enabled) on config errors
# Initialize centralized file logging early — all `hermes` subcommands
# (chat, setup, gateway, config, etc.) write to agent.log + errors.log.
try:
@@ -1450,7 +1429,6 @@ def select_provider_and_model(args=None):
load_config,
get_env_value,
)
from hermes_cli.providers import resolve_provider_full
config = load_config()
current_model = config.get("model")
@@ -1468,30 +1446,14 @@ def select_provider_and_model(args=None):
effective_provider = (
config_provider or os.getenv("HERMES_INFERENCE_PROVIDER") or "auto"
)
compatible_custom_providers = get_compatible_custom_providers(config)
active = None
if effective_provider != "auto":
active_def = resolve_provider_full(
effective_provider,
config.get("providers"),
compatible_custom_providers,
)
if active_def is not None:
active = active_def.id
else:
warning = (
f"Unknown provider '{effective_provider}'. Check 'hermes model' for "
"available providers, or run 'hermes doctor' to diagnose config "
"issues."
)
print(f"Warning: {warning} Falling back to auto provider detection.")
if active is None:
try:
active = resolve_provider(effective_provider)
except AuthError as exc:
warning = format_auth_error(exc)
print(f"Warning: {warning} Falling back to auto provider detection.")
try:
active = resolve_provider("auto")
except AuthError as exc:
if effective_provider == "auto":
warning = format_auth_error(exc)
print(f"Warning: {warning} Falling back to auto provider detection.")
except AuthError:
active = None # no provider yet; default to first in list
# Detect custom endpoint
@@ -2349,41 +2311,7 @@ def _model_flow_openai_codex(config, current_model=""):
from hermes_cli.codex_models import get_codex_model_ids
status = get_codex_auth_status()
if status.get("logged_in"):
print(" OpenAI Codex credentials: ✓")
print()
print(" 1. Use existing credentials")
print(" 2. Reauthenticate (new OAuth login)")
print(" 3. Cancel")
print()
try:
choice = input(" Choice [1/2/3]: ").strip()
except (KeyboardInterrupt, EOFError):
choice = "1"
if choice == "2":
print("Starting a fresh OpenAI Codex login...")
print()
try:
mock_args = argparse.Namespace()
_login_openai_codex(
mock_args,
PROVIDER_REGISTRY["openai-codex"],
force_new_login=True,
)
except SystemExit:
print("Login cancelled or failed.")
return
except Exception as exc:
print(f"Login failed: {exc}")
return
status = get_codex_auth_status()
if not status.get("logged_in"):
print("Login failed.")
return
elif choice == "3":
return
else:
if not status.get("logged_in"):
print("Not logged into OpenAI Codex. Starting login...")
print()
try:
@@ -2900,16 +2828,11 @@ def _model_flow_named_custom(config, provider_info):
name = provider_info["name"]
base_url = provider_info["base_url"]
api_mode = provider_info.get("api_mode", "")
api_key = provider_info.get("api_key", "")
key_env = provider_info.get("key_env", "")
saved_model = provider_info.get("model", "")
provider_key = (provider_info.get("provider_key") or "").strip()
# Resolve key from env var if api_key not set directly
if not api_key and key_env:
api_key = os.environ.get(key_env, "")
print(f" Provider: {name}")
print(f" URL: {base_url}")
if saved_model:
@@ -2917,10 +2840,7 @@ def _model_flow_named_custom(config, provider_info):
print()
print("Fetching available models...")
models = fetch_api_models(
api_key, base_url, timeout=8.0,
api_mode=api_mode or None,
)
models = fetch_api_models(api_key, base_url, timeout=8.0)
if models:
default_idx = 0
@@ -4010,71 +3930,12 @@ def _model_flow_api_key_provider(config, provider_id, current_model=""):
print("Cancelled.")
return
save_env_value(key_env, new_key)
existing_key = new_key
print("API key saved.")
print()
else:
print(f" {pconfig.name} API key: {existing_key[:8]}... ✓")
print()
# Gemini free-tier gate: free-tier daily quotas (<= 250 RPD for Flash)
# are exhausted in a handful of agent turns, so refuse to wire up the
# provider with a free-tier key. Probe is best-effort; network or auth
# errors fall through without blocking.
if provider_id == "gemini" and existing_key:
try:
from agent.gemini_native_adapter import probe_gemini_tier
except Exception:
probe_gemini_tier = None
if probe_gemini_tier is not None:
print(" Checking Gemini API tier...")
probe_base = (
(get_env_value(base_url_env) if base_url_env else "")
or os.getenv(base_url_env or "", "")
or pconfig.inference_base_url
)
tier = probe_gemini_tier(existing_key, probe_base)
if tier == "free":
print()
print(
"❌ This Google API key is on the free tier "
"(<= 250 requests/day for gemini-2.5-flash)."
)
print(
" Hermes typically makes 3-10 API calls per user turn "
"(tool iterations + auxiliary tasks),"
)
print(
" so the free tier is exhausted after a handful of "
"messages and cannot sustain"
)
print(" an agent session.")
print()
print(
" To use Gemini with Hermes, enable billing on your "
"Google Cloud project and regenerate"
)
print(
" the key in a billing-enabled project: "
"https://aistudio.google.com/apikey"
)
print()
print(
" Alternatives with workable free usage: DeepSeek, "
"OpenRouter (free models), Groq, Nous."
)
print()
print("Not saving Gemini as the default provider.")
return
if tier == "paid":
print(" Tier check: paid ✓")
else:
# "unknown" -- network issue, auth problem, unexpected response.
# Don't block; the runtime 429 handler will surface free-tier
# guidance if the key turns out to be free tier.
print(" Tier check: could not verify (proceeding anyway).")
print()
# Optional base URL override
current_base = ""
if base_url_env:
@@ -4123,18 +3984,7 @@ def _model_flow_api_key_provider(config, provider_id, current_model=""):
pass
if mdev_models:
# Merge models.dev with curated list so newly added models
# (not yet in models.dev) still appear in the picker.
if curated:
seen = {m.lower() for m in mdev_models}
merged = list(mdev_models)
for m in curated:
if m.lower() not in seen:
merged.append(m)
seen.add(m.lower())
model_list = merged
else:
model_list = mdev_models
model_list = mdev_models
print(f" Found {len(model_list)} model(s) from models.dev registry")
elif curated and len(curated) >= 8:
# Curated list is substantial — use it directly, skip live probe
@@ -4316,8 +4166,6 @@ def _model_flow_anthropic(config, current_model=""):
from agent.anthropic_adapter import (
read_claude_code_credentials,
is_claude_code_token_valid,
_is_oauth_token,
_resolve_claude_code_token_from_credentials,
)
cc_creds = read_claude_code_credentials()
@@ -4326,14 +4174,7 @@ def _model_flow_anthropic(config, current_model=""):
except Exception:
pass
# Stale-OAuth guard: if the only existing cred is an expired OAuth token
# (no valid cc_creds to fall back on), treat it as missing so the re-auth
# path is offered instead of silently accepting a broken token.
existing_is_stale_oauth = False
if existing_key and _is_oauth_token(existing_key) and not cc_available:
existing_is_stale_oauth = True
has_creds = (bool(existing_key) and not existing_is_stale_oauth) or cc_available
has_creds = bool(existing_key) or cc_available
needs_auth = not has_creds
if has_creds:
@@ -6012,15 +5853,12 @@ def _cmd_update_impl(args, gateway_mode: bool):
# Write exit code *before* the gateway restart attempt.
# When running as ``hermes update --gateway`` (spawned by the gateway's
# /update command), this process lives inside the gateway's systemd
# cgroup. A graceful SIGUSR1 restart keeps the drain loop alive long
# enough for the exit-code marker to be written below, but the
# fallback ``systemctl restart`` path (see below) kills everything in
# the cgroup (KillMode=mixed → SIGKILL to remaining processes),
# including us and the wrapping bash shell. The shell never reaches
# its ``printf $status > .update_exit_code`` epilogue, so the
# exit-code marker file would never be created. The new gateway's
# update watcher would then poll for 30 minutes and send a spurious
# timeout message.
# cgroup. ``systemctl restart hermes-gateway`` kills everything in the
# cgroup (KillMode=mixed → SIGKILL to remaining processes), including
# us and the wrapping bash shell. The shell never reaches its
# ``printf $status > .update_exit_code`` epilogue, so the exit-code
# marker file is never created. The new gateway's update watcher then
# polls for 30 minutes and sends a spurious timeout message.
#
# Writing the marker here — after git pull + pip install succeed but
# before we attempt the restart — ensures the new gateway sees it
@@ -6042,37 +5880,9 @@ def _cmd_update_impl(args, gateway_mode: bool):
_ensure_user_systemd_env,
find_gateway_pids,
_get_service_pids,
_graceful_restart_via_sigusr1,
)
import signal as _signal
# Drain budget for graceful SIGUSR1 restarts. The gateway drains
# for up to ``agent.restart_drain_timeout`` (default 60s) before
# exiting with code 75; we wait slightly longer so the drain
# completes before we fall back to a hard restart. On older
# systemd units without SIGUSR1 wiring this wait just times out
# and we fall back to ``systemctl restart`` (the old behaviour).
try:
from hermes_constants import (
DEFAULT_GATEWAY_RESTART_DRAIN_TIMEOUT as _DEFAULT_DRAIN,
)
except Exception:
_DEFAULT_DRAIN = 60.0
_cfg_drain = None
try:
from hermes_cli.config import load_config
_cfg_agent = (load_config().get("agent") or {})
_cfg_drain = _cfg_agent.get("restart_drain_timeout")
except Exception:
pass
try:
_drain_budget = float(_cfg_drain) if _cfg_drain is not None else float(_DEFAULT_DRAIN)
except (TypeError, ValueError):
_drain_budget = float(_DEFAULT_DRAIN)
# Add a 15s margin so the drain loop + final exit finish before
# we escalate to ``systemctl restart`` / SIGTERM.
_drain_budget = max(_drain_budget, 30.0) + 15.0
restarted_services = []
killed_pids = set()
@@ -6119,114 +5929,59 @@ def _cmd_update_impl(args, gateway_mode: bool):
text=True,
timeout=5,
)
if check.stdout.strip() != "active":
continue
# Prefer a graceful SIGUSR1 restart so in-flight
# agent runs drain instead of being SIGKILLed.
# The gateway's SIGUSR1 handler calls
# request_restart(via_service=True) → drain →
# exit(75); systemd's Restart=on-failure (and
# RestartForceExitStatus=75) respawns the unit.
_main_pid = 0
try:
_show = subprocess.run(
scope_cmd + [
"show", svc_name,
"--property=MainPID", "--value",
],
capture_output=True, text=True, timeout=5,
)
_main_pid = int((_show.stdout or "").strip() or 0)
except (ValueError, subprocess.TimeoutExpired, FileNotFoundError):
_main_pid = 0
_graceful_ok = False
if _main_pid > 0:
print(
f"{svc_name}: draining (up to {int(_drain_budget)}s)..."
)
_graceful_ok = _graceful_restart_via_sigusr1(
_main_pid, drain_timeout=_drain_budget,
)
if _graceful_ok:
# Gateway exited 75; systemd should relaunch
# via Restart=on-failure. Verify the new
# process came up.
_time.sleep(3)
verify = subprocess.run(
scope_cmd + ["is-active", svc_name],
capture_output=True, text=True, timeout=5,
)
if verify.stdout.strip() == "active":
restarted_services.append(svc_name)
continue
# Process exited but wasn't respawned (older
# unit without Restart=on-failure or
# RestartForceExitStatus=75). Fall through
# to systemctl start/restart.
print(
f"{svc_name} drained but didn't relaunch — forcing restart"
)
# Fallback: blunt systemctl restart. This is
# what the old code always did; we get here only
# when the graceful path failed (unit missing
# SIGUSR1 wiring, drain exceeded the budget,
# restart-policy mismatch).
restart = subprocess.run(
scope_cmd + ["restart", svc_name],
capture_output=True,
text=True,
timeout=15,
)
if restart.returncode == 0:
# Verify the service actually survived the
# restart. systemctl restart returns 0 even
# if the new process crashes immediately.
_time.sleep(3)
verify = subprocess.run(
scope_cmd + ["is-active", svc_name],
if check.stdout.strip() == "active":
restart = subprocess.run(
scope_cmd + ["restart", svc_name],
capture_output=True,
text=True,
timeout=5,
timeout=15,
)
if verify.stdout.strip() == "active":
restarted_services.append(svc_name)
else:
# Retry once — transient startup failures
# (stale module cache, import race) often
# resolve on the second attempt.
print(
f"{svc_name} died after restart, retrying..."
)
retry = subprocess.run(
scope_cmd + ["restart", svc_name],
capture_output=True,
text=True,
timeout=15,
)
if restart.returncode == 0:
# Verify the service actually survived the
# restart. systemctl restart returns 0 even
# if the new process crashes immediately.
_time.sleep(3)
verify2 = subprocess.run(
verify = subprocess.run(
scope_cmd + ["is-active", svc_name],
capture_output=True,
text=True,
timeout=5,
)
if verify2.stdout.strip() == "active":
if verify.stdout.strip() == "active":
restarted_services.append(svc_name)
print(f"{svc_name} recovered on retry")
else:
# Retry once — transient startup failures
# (stale module cache, import race) often
# resolve on the second attempt.
print(
f" {svc_name} failed to stay running after restart.\n"
f" Check logs: journalctl --user -u {svc_name} --since '2 min ago'\n"
f" Restart manually: systemctl {'--user ' if scope == 'user' else ''}restart {svc_name}"
f" {svc_name} died after restart, retrying..."
)
else:
print(
f" ⚠ Failed to restart {svc_name}: {restart.stderr.strip()}"
)
retry = subprocess.run(
scope_cmd + ["restart", svc_name],
capture_output=True,
text=True,
timeout=15,
)
_time.sleep(3)
verify2 = subprocess.run(
scope_cmd + ["is-active", svc_name],
capture_output=True,
text=True,
timeout=5,
)
if verify2.stdout.strip() == "active":
restarted_services.append(svc_name)
print(f"{svc_name} recovered on retry")
else:
print(
f"{svc_name} failed to stay running after restart.\n"
f" Check logs: journalctl --user -u {svc_name} --since '2 min ago'\n"
f" Restart manually: systemctl {'--user ' if scope == 'user' else ''}restart {svc_name}"
)
else:
print(
f" ⚠ Failed to restart {svc_name}: {restart.stderr.strip()}"
)
except (FileNotFoundError, subprocess.TimeoutExpired):
pass
@@ -7333,7 +7088,7 @@ For more help on a command:
)
logout_parser.add_argument(
"--provider",
choices=["nous", "openai-codex", "spotify"],
choices=["nous", "openai-codex"],
default=None,
help="Provider to log out from (default: active provider)",
)
@@ -7390,17 +7145,6 @@ For more help on a command:
"reset", help="Clear exhaustion status for all credentials for a provider"
)
auth_reset.add_argument("provider", help="Provider id")
auth_status = auth_subparsers.add_parser("status", help="Show auth status for a provider")
auth_status.add_argument("provider", help="Provider id")
auth_logout = auth_subparsers.add_parser("logout", help="Log out a provider and clear stored auth state")
auth_logout.add_argument("provider", help="Provider id")
auth_spotify = auth_subparsers.add_parser("spotify", help="Authenticate Hermes with Spotify via PKCE")
auth_spotify.add_argument("spotify_action", nargs="?", choices=["login", "status", "logout"], default="login")
auth_spotify.add_argument("--client-id", help="Spotify app client_id (or set HERMES_SPOTIFY_CLIENT_ID)")
auth_spotify.add_argument("--redirect-uri", help="Allow-listed localhost redirect URI for your Spotify app")
auth_spotify.add_argument("--scope", help="Override requested Spotify scopes")
auth_spotify.add_argument("--no-browser", action="store_true", help="Do not attempt to open the browser automatically")
auth_spotify.add_argument("--timeout", type=float, help="Callback/token exchange timeout in seconds")
auth_parser.set_defaults(func=cmd_auth)
# =========================================================================
@@ -7457,10 +7201,6 @@ For more help on a command:
"--script",
help="Path to a Python script whose stdout is injected into the prompt each run",
)
cron_create.add_argument(
"--workdir",
help="Absolute path for the job to run from. Injects AGENTS.md / CLAUDE.md / .cursorrules from that directory and uses it as the cwd for terminal/file/code_exec tools. Omit to preserve old behaviour (no project context files).",
)
# cron edit
cron_edit = cron_subparsers.add_parser(
@@ -7499,10 +7239,6 @@ For more help on a command:
"--script",
help="Path to a Python script whose stdout is injected into the prompt each run. Pass empty string to clear.",
)
cron_edit.add_argument(
"--workdir",
help="Absolute path for the job to run from (injects AGENTS.md etc. and sets terminal cwd). Pass empty string to clear.",
)
# lifecycle actions
cron_pause = cron_subparsers.add_parser("pause", help="Pause a scheduled job")
+9 -48
View File
@@ -12,12 +12,8 @@ Different LLM providers expect model identifiers in different formats:
model IDs, but Claude still uses hyphenated native names like
``claude-sonnet-4-6``.
- **OpenCode Go** preserves dots in model names: ``minimax-m2.7``.
- **DeepSeek** accepts ``deepseek-chat`` (V3), ``deepseek-reasoner``
(R1-family), and the first-class V-series IDs (``deepseek-v4-pro``,
``deepseek-v4-flash``, and any future ``deepseek-v<N>-*``). Older
Hermes revisions folded every non-reasoner input into
``deepseek-chat``, which on aggregators routes to V3 so a user
picking V4 Pro was silently downgraded.
- **DeepSeek** only accepts two model identifiers:
``deepseek-chat`` and ``deepseek-reasoner``.
- **Custom** and remaining providers pass the name through as-is.
This module centralises that translation so callers can simply write::
@@ -29,7 +25,6 @@ Inspired by Clawdbot's ``normalizeAnthropicModelId`` pattern.
from __future__ import annotations
import re
from typing import Optional
# ---------------------------------------------------------------------------
@@ -105,15 +100,6 @@ _MATCHING_PREFIX_STRIP_PROVIDERS: frozenset[str] = frozenset({
"custom",
})
# Providers whose APIs require lowercase model IDs. Xiaomi's
# ``api.xiaomimimo.com`` rejects mixed-case names like ``MiMo-V2.5-Pro``
# that users might copy from marketing docs — it only accepts
# ``mimo-v2.5-pro``. After stripping a matching provider prefix, these
# providers also get ``.lower()`` applied.
_LOWERCASE_MODEL_PROVIDERS: frozenset[str] = frozenset({
"xiaomi",
})
# ---------------------------------------------------------------------------
# DeepSeek special handling
# ---------------------------------------------------------------------------
@@ -129,30 +115,17 @@ _DEEPSEEK_REASONER_KEYWORDS: frozenset[str] = frozenset({
})
_DEEPSEEK_CANONICAL_MODELS: frozenset[str] = frozenset({
"deepseek-chat", # V3 on DeepSeek direct and most aggregators
"deepseek-reasoner", # R1-family reasoning model
"deepseek-v4-pro", # V4 Pro — first-class model ID
"deepseek-v4-flash", # V4 Flash — first-class model ID
"deepseek-chat",
"deepseek-reasoner",
})
# First-class V-series IDs (``deepseek-v4-pro``, ``deepseek-v4-flash``,
# future ``deepseek-v5-*``, dated variants like ``deepseek-v4-flash-20260423``).
# Verified empirically 2026-04-24: DeepSeek's Chat Completions API returns
# ``provider: DeepSeek`` / ``model: deepseek-v4-flash-20260423`` when called
# with ``model=deepseek/deepseek-v4-flash``, so these names are not aliases
# of ``deepseek-chat`` and must not be folded into it.
_DEEPSEEK_V_SERIES_RE = re.compile(r"^deepseek-v\d+([-.].+)?$")
def _normalize_for_deepseek(model_name: str) -> str:
"""Map a model input to a DeepSeek-accepted identifier.
"""Map any model input to one of DeepSeek's two accepted identifiers.
Rules:
- Already a known canonical (``deepseek-chat``/``deepseek-reasoner``/
``deepseek-v4-pro``/``deepseek-v4-flash``) -> pass through.
- Matches the V-series pattern ``deepseek-v<digit>...`` -> pass through
(covers future ``deepseek-v5-*`` and dated variants without a release).
- Contains a reasoner keyword (r1, think, reasoning, cot, reasoner)
- Already ``deepseek-chat`` or ``deepseek-reasoner`` -> pass through.
- Contains any reasoner keyword (r1, think, reasoning, cot, reasoner)
-> ``deepseek-reasoner``.
- Everything else -> ``deepseek-chat``.
@@ -160,17 +133,13 @@ def _normalize_for_deepseek(model_name: str) -> str:
model_name: The bare model name (vendor prefix already stripped).
Returns:
A DeepSeek-accepted model identifier.
One of ``"deepseek-chat"`` or ``"deepseek-reasoner"``.
"""
bare = _strip_vendor_prefix(model_name).lower()
if bare in _DEEPSEEK_CANONICAL_MODELS:
return bare
# V-series first-class IDs (v4-pro, v4-flash, future v5-*, dated variants)
if _DEEPSEEK_V_SERIES_RE.match(bare):
return bare
# Check for reasoner-like keywords anywhere in the name
for keyword in _DEEPSEEK_REASONER_KEYWORDS:
if keyword in bare:
@@ -378,9 +347,6 @@ def normalize_model_for_provider(model_input: str, target_provider: str) -> str:
>>> normalize_model_for_provider("claude-sonnet-4.6", "zai")
'claude-sonnet-4.6'
>>> normalize_model_for_provider("MiMo-V2.5-Pro", "xiaomi")
'mimo-v2.5-pro'
"""
name = (model_input or "").strip()
if not name:
@@ -444,12 +410,7 @@ def normalize_model_for_provider(model_input: str, target_provider: str) -> str:
# --- Direct providers: repair matching provider prefixes only ---
if provider in _MATCHING_PREFIX_STRIP_PROVIDERS:
result = _strip_matching_provider_prefix(name, provider)
# Some providers require lowercase model IDs (e.g. Xiaomi's API
# rejects "MiMo-V2.5-Pro" but accepts "mimo-v2.5-pro").
if provider in _LOWERCASE_MODEL_PROVIDERS:
result = result.lower()
return result
return _strip_matching_provider_prefix(name, provider)
# --- Authoritative native providers: preserve user-facing slugs as-is ---
if provider in _AUTHORITATIVE_NATIVE_PROVIDERS:
+27 -177
View File
@@ -304,113 +304,6 @@ def parse_model_flags(raw_args: str) -> tuple[str, str, bool]:
# Alias resolution
# ---------------------------------------------------------------------------
def _model_sort_key(model_id: str, prefix: str) -> tuple:
"""Sort key for model version preference.
Extracts version numbers after the family prefix and returns a sort key
that prefers higher versions. Suffix tokens (``pro``, ``omni``, etc.)
are used as tiebreakers, with common quality indicators ranked.
Examples (with prefix ``"mimo"``)::
mimo-v2.5-pro (-2.5, 0, 'pro') # highest version wins
mimo-v2.5 (-2.5, 1, '') # no suffix = lower than pro
mimo-v2-pro (-2.0, 0, 'pro')
mimo-v2-omni (-2.0, 1, 'omni')
mimo-v2-flash (-2.0, 1, 'flash')
"""
# Strip the prefix (and optional "/" separator for aggregator slugs)
rest = model_id[len(prefix):]
if rest.startswith("/"):
rest = rest[1:]
rest = rest.lstrip("-").strip()
# Parse version and suffix from the remainder.
# "v2.5-pro" → version [2.5], suffix "pro"
# "-omni" → version [], suffix "omni"
# State machine: start → in_version → between → in_suffix
nums: list[float] = []
suffix_buf = ""
state = "start"
num_buf = ""
for ch in rest:
if state == "start":
if ch in "vV":
state = "in_version"
elif ch.isdigit():
state = "in_version"
num_buf += ch
elif ch in "-_.":
pass # skip separators before any content
else:
state = "in_suffix"
suffix_buf += ch
elif state == "in_version":
if ch.isdigit():
num_buf += ch
elif ch == ".":
if "." in num_buf:
# Second dot — flush current number, start new component
try:
nums.append(float(num_buf.rstrip(".")))
except ValueError:
pass
num_buf = ""
else:
num_buf += ch
elif ch in "-_.":
if num_buf:
try:
nums.append(float(num_buf.rstrip(".")))
except ValueError:
pass
num_buf = ""
state = "between"
else:
if num_buf:
try:
nums.append(float(num_buf.rstrip(".")))
except ValueError:
pass
num_buf = ""
state = "in_suffix"
suffix_buf += ch
elif state == "between":
if ch.isdigit():
state = "in_version"
num_buf = ch
elif ch in "vV":
state = "in_version"
elif ch in "-_.":
pass
else:
state = "in_suffix"
suffix_buf += ch
elif state == "in_suffix":
suffix_buf += ch
# Flush remaining buffer (strip trailing dots — "5.4." → "5.4")
if num_buf and state == "in_version":
try:
nums.append(float(num_buf.rstrip(".")))
except ValueError:
pass
suffix = suffix_buf.lower().strip("-_.")
suffix = suffix.strip()
# Negate versions so higher → sorts first
version_key = tuple(-n for n in nums)
# Suffix quality ranking: pro/max > (no suffix) > omni/flash/mini/lite
# Lower number = preferred
_SUFFIX_RANK = {"pro": 0, "max": 0, "plus": 0, "turbo": 0}
suffix_rank = _SUFFIX_RANK.get(suffix, 1)
return version_key + (suffix_rank, suffix)
def resolve_alias(
raw_input: str,
current_provider: str,
@@ -418,9 +311,9 @@ def resolve_alias(
"""Resolve a short alias against the current provider's catalog.
Looks up *raw_input* in :data:`MODEL_ALIASES`, then searches the
current provider's models.dev catalog for the model whose ID starts
with ``vendor/family`` (or just ``family`` for non-aggregator
providers) and has the **highest version**.
current provider's models.dev catalog for the first model whose ID
starts with ``vendor/family`` (or just ``family`` for non-aggregator
providers).
Returns:
``(provider, resolved_model_id, alias_name)`` if a match is
@@ -448,44 +341,28 @@ def resolve_alias(
vendor, family = identity
# Build catalog from models.dev, then merge in static _PROVIDER_MODELS
# entries that models.dev may be missing (e.g. newly added models not
# yet synced to the registry).
# Search the provider's catalog from models.dev
catalog = list_provider_models(current_provider)
try:
from hermes_cli.models import _PROVIDER_MODELS
static = _PROVIDER_MODELS.get(current_provider, [])
if static:
seen = {m.lower() for m in catalog}
for m in static:
if m.lower() not in seen:
catalog.append(m)
except Exception:
pass
if not catalog:
return None
# For aggregators, models are vendor/model-name format
aggregator = is_aggregator(current_provider)
if aggregator:
prefix = f"{vendor}/{family}".lower()
matches = [
mid for mid in catalog
if mid.lower().startswith(prefix)
]
else:
family_lower = family.lower()
matches = [
mid for mid in catalog
if mid.lower().startswith(family_lower)
]
for model_id in catalog:
mid_lower = model_id.lower()
if aggregator:
# Match vendor/family prefix -- e.g. "anthropic/claude-sonnet"
prefix = f"{vendor}/{family}".lower()
if mid_lower.startswith(prefix):
return (current_provider, model_id, key)
else:
# Non-aggregator: bare names -- e.g. "claude-sonnet-4-6"
family_lower = family.lower()
if mid_lower.startswith(family_lower):
return (current_provider, model_id, key)
if not matches:
return None
# Sort by version descending — prefer the latest/highest version
prefix_for_sort = f"{vendor}/{family}" if aggregator else family
matches.sort(key=lambda m: _model_sort_key(m, prefix_for_sort))
return (current_provider, matches[0], key)
return None
def get_authenticated_provider_slugs(
@@ -771,10 +648,7 @@ def switch_model(
if provider_changed or explicit_provider:
try:
runtime = resolve_runtime_provider(
requested=target_provider,
target_model=new_model,
)
runtime = resolve_runtime_provider(requested=target_provider)
api_key = runtime.get("api_key", "")
base_url = runtime.get("base_url", "")
api_mode = runtime.get("api_mode", "")
@@ -791,10 +665,7 @@ def switch_model(
)
else:
try:
runtime = resolve_runtime_provider(
requested=current_provider,
target_model=new_model,
)
runtime = resolve_runtime_provider(requested=current_provider)
api_key = runtime.get("api_key", "")
base_url = runtime.get("base_url", "")
api_mode = runtime.get("api_mode", "")
@@ -821,7 +692,6 @@ def switch_model(
target_provider,
api_key=api_key,
base_url=base_url,
api_mode=api_mode or None,
)
except Exception as e:
validation = {
@@ -943,7 +813,7 @@ def list_authenticated_providers(
from hermes_cli.auth import PROVIDER_REGISTRY
from hermes_cli.models import (
OPENROUTER_MODELS, _PROVIDER_MODELS,
_MODELS_DEV_PREFERRED, _merge_with_models_dev, provider_model_ids,
_MODELS_DEV_PREFERRED, _merge_with_models_dev,
)
results: List[dict] = []
@@ -991,14 +861,6 @@ def list_authenticated_providers(
# Check if any env var is set
has_creds = any(os.environ.get(ev) for ev in env_vars)
if not has_creds:
try:
from hermes_cli.auth import _load_auth_store
store = _load_auth_store()
if store and hermes_id in store.get("credential_pool", {}):
has_creds = True
except Exception:
pass
if not has_creds:
continue
@@ -1110,14 +972,11 @@ def list_authenticated_providers(
if not has_creds:
continue
if hermes_slug in {"copilot", "copilot-acp"}:
model_ids = provider_model_ids(hermes_slug)
else:
# Use curated list — look up by Hermes slug, fall back to overlay key
model_ids = curated.get(hermes_slug, []) or curated.get(pid, [])
# Merge with models.dev for preferred providers (same rationale as above).
if hermes_slug in _MODELS_DEV_PREFERRED:
model_ids = _merge_with_models_dev(hermes_slug, model_ids)
# Use curated list — look up by Hermes slug, fall back to overlay key
model_ids = curated.get(hermes_slug, []) or curated.get(pid, [])
# Merge with models.dev for preferred providers (same rationale as above).
if hermes_slug in _MODELS_DEV_PREFERRED:
model_ids = _merge_with_models_dev(hermes_slug, model_ids)
total = len(model_ids)
top = model_ids[:max_models]
@@ -1240,15 +1099,6 @@ def list_authenticated_providers(
if m and m not in models_list:
models_list.append(m)
# Official OpenAI API rows in providers: often have base_url but no
# explicit models: dict — avoid a misleading zero count in /model.
if not models_list:
url_lower = str(api_url).strip().lower()
if "api.openai.com" in url_lower:
fb = curated.get("openai") or []
if fb:
models_list = list(fb)
# Try to probe /v1/models if URL is set (but don't block on it)
# For now just show what we know from config
results.append({
+12 -225
View File
@@ -33,8 +33,6 @@ COPILOT_REASONING_EFFORTS_O_SERIES = ["low", "medium", "high"]
# (model_id, display description shown in menus)
OPENROUTER_MODELS: list[tuple[str, str]] = [
("moonshotai/kimi-k2.6", "recommended"),
("deepseek/deepseek-v4-pro", ""),
("deepseek/deepseek-v4-flash", ""),
("anthropic/claude-opus-4.7", ""),
("anthropic/claude-opus-4.6", ""),
("anthropic/claude-sonnet-4.6", ""),
@@ -111,8 +109,6 @@ def _codex_curated_models() -> list[str]:
_PROVIDER_MODELS: dict[str, list[str]] = {
"nous": [
"moonshotai/kimi-k2.6",
"deepseek/deepseek-v4-pro",
"deepseek/deepseek-v4-flash",
"xiaomi/mimo-v2.5-pro",
"xiaomi/mimo-v2.5",
"anthropic/claude-opus-4.7",
@@ -142,18 +138,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"openai/gpt-5.4-pro",
"openai/gpt-5.4-nano",
],
# Native OpenAI Chat Completions (api.openai.com). Used by /model counts and
# provider_model_ids fallback when /v1/models is unavailable.
"openai": [
"gpt-5.4",
"gpt-5.4-mini",
"gpt-5-mini",
"gpt-5.3-codex",
"gpt-5.2-codex",
"gpt-4.1",
"gpt-4o",
"gpt-4o-mini",
],
"openai-codex": _codex_curated_models(),
"copilot-acp": [
"copilot-acp",
@@ -167,13 +151,10 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"gpt-4.1",
"gpt-4o",
"gpt-4o-mini",
"claude-opus-4.6",
"claude-sonnet-4.6",
"claude-sonnet-4",
"claude-sonnet-4.5",
"claude-haiku-4.5",
"gemini-3.1-pro-preview",
"gemini-3-pro-preview",
"gemini-3-flash-preview",
"gemini-2.5-pro",
"grok-code-fast-1",
],
@@ -265,14 +246,10 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"claude-haiku-4-5-20251001",
],
"deepseek": [
"deepseek-v4-pro",
"deepseek-v4-flash",
"deepseek-chat",
"deepseek-reasoner",
],
"xiaomi": [
"mimo-v2.5-pro",
"mimo-v2.5",
"mimo-v2-pro",
"mimo-v2-omni",
"mimo-v2-flash",
@@ -324,8 +301,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"kimi-k2.5",
"glm-5.1",
"glm-5",
"mimo-v2.5-pro",
"mimo-v2.5",
"mimo-v2-pro",
"mimo-v2-omni",
"minimax-m2.7",
@@ -697,7 +672,7 @@ def get_nous_recommended_aux_model(
# ---------------------------------------------------------------------------
# Canonical provider list — single source of truth for provider identity.
# Every code path that lists, displays, or iterates providers derives from
# this list: hermes model, /model, list_authenticated_providers.
# this list: hermes model, /model, /provider, list_authenticated_providers.
#
# Fields:
# slug — internal provider ID (used in config.yaml, --provider flag)
@@ -717,7 +692,7 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("ai-gateway", "Vercel AI Gateway", "Vercel AI Gateway (200+ models, $5 free credit, no markup)"),
ProviderEntry("anthropic", "Anthropic", "Anthropic (Claude models — API key or Claude Code)"),
ProviderEntry("openai-codex", "OpenAI Codex", "OpenAI Codex"),
ProviderEntry("xiaomi", "Xiaomi MiMo", "Xiaomi MiMo (MiMo-V2.5 and V2 models — pro, omni, flash)"),
ProviderEntry("xiaomi", "Xiaomi MiMo", "Xiaomi MiMo (MiMo-V2 models — pro, omni, flash)"),
ProviderEntry("nvidia", "NVIDIA NIM", "NVIDIA NIM (Nemotron models — build.nvidia.com or local NIM)"),
ProviderEntry("qwen-oauth", "Qwen OAuth (Portal)", "Qwen OAuth (reuses local Qwen CLI login)"),
ProviderEntry("copilot", "GitHub Copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
@@ -1125,10 +1100,7 @@ def fetch_models_with_pricing(
return _pricing_cache[cache_key]
url = cache_key.rstrip("/") + "/v1/models"
headers: dict[str, str] = {
"Accept": "application/json",
"User-Agent": _HERMES_USER_AGENT,
}
headers: dict[str, str] = {"Accept": "application/json"}
if api_key:
headers["Authorization"] = f"Bearer {api_key}"
@@ -1702,19 +1674,7 @@ def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False)
if normalized == "openai-codex":
from hermes_cli.codex_models import get_codex_model_ids
# Pass the live OAuth access token so the picker matches whatever
# ChatGPT lists for this account right now (new models appear without
# a Hermes release). Falls back to the hardcoded catalog if no token
# or the endpoint is unreachable.
access_token = None
try:
from hermes_cli.auth import resolve_codex_runtime_credentials
creds = resolve_codex_runtime_credentials(refresh_if_expiring=True)
access_token = creds.get("api_key")
except Exception:
access_token = None
return get_codex_model_ids(access_token=access_token)
return get_codex_model_ids()
if normalized in {"copilot", "copilot-acp"}:
try:
live = _fetch_github_models(_resolve_copilot_catalog_api_key())
@@ -1760,17 +1720,6 @@ def provider_model_ids(provider: Optional[str], *, force_refresh: bool = False)
live = fetch_ollama_cloud_models(force_refresh=force_refresh)
if live:
return live
if normalized == "openai":
api_key = os.getenv("OPENAI_API_KEY", "").strip()
if api_key:
base_raw = os.getenv("OPENAI_BASE_URL", "").strip().rstrip("/")
base = base_raw or "https://api.openai.com/v1"
try:
live = fetch_api_models(api_key, base)
if live:
return live
except Exception:
pass
if normalized == "custom":
base_url = _get_custom_base_url()
if base_url:
@@ -1925,51 +1874,6 @@ def fetch_github_model_catalog(
return None
# ─── Copilot catalog context-window helpers ─────────────────────────────────
# Module-level cache: {model_id: max_prompt_tokens}
_copilot_context_cache: dict[str, int] = {}
_copilot_context_cache_time: float = 0.0
_COPILOT_CONTEXT_CACHE_TTL = 3600 # 1 hour
def get_copilot_model_context(model_id: str, api_key: Optional[str] = None) -> Optional[int]:
"""Look up max_prompt_tokens for a Copilot model from the live /models API.
Results are cached in-process for 1 hour to avoid repeated API calls.
Returns the token limit or None if not found.
"""
global _copilot_context_cache, _copilot_context_cache_time
# Serve from cache if fresh
if _copilot_context_cache and (time.time() - _copilot_context_cache_time < _COPILOT_CONTEXT_CACHE_TTL):
if model_id in _copilot_context_cache:
return _copilot_context_cache[model_id]
# Cache is fresh but model not in it — don't re-fetch
return None
# Fetch and populate cache
catalog = fetch_github_model_catalog(api_key=api_key)
if not catalog:
return None
cache: dict[str, int] = {}
for item in catalog:
mid = str(item.get("id") or "").strip()
if not mid:
continue
caps = item.get("capabilities") or {}
limits = caps.get("limits") or {}
max_prompt = limits.get("max_prompt_tokens")
if isinstance(max_prompt, int) and max_prompt > 0:
cache[mid] = max_prompt
_copilot_context_cache = cache
_copilot_context_cache_time = time.time()
return cache.get(model_id)
def _is_github_models_base_url(base_url: Optional[str]) -> bool:
normalized = (base_url or "").strip().rstrip("/").lower()
return (
@@ -2003,7 +1907,6 @@ _COPILOT_MODEL_ALIASES = {
"openai/o4-mini": "gpt-5-mini",
"anthropic/claude-opus-4.6": "claude-opus-4.6",
"anthropic/claude-sonnet-4.6": "claude-sonnet-4.6",
"anthropic/claude-sonnet-4": "claude-sonnet-4",
"anthropic/claude-sonnet-4.5": "claude-sonnet-4.5",
"anthropic/claude-haiku-4.5": "claude-haiku-4.5",
# Dash-notation fallbacks: Hermes' default Claude IDs elsewhere use
@@ -2013,12 +1916,10 @@ _COPILOT_MODEL_ALIASES = {
# "model_not_supported". See issue #6879.
"claude-opus-4-6": "claude-opus-4.6",
"claude-sonnet-4-6": "claude-sonnet-4.6",
"claude-sonnet-4-0": "claude-sonnet-4",
"claude-sonnet-4-5": "claude-sonnet-4.5",
"claude-haiku-4-5": "claude-haiku-4.5",
"anthropic/claude-opus-4-6": "claude-opus-4.6",
"anthropic/claude-sonnet-4-6": "claude-sonnet-4.6",
"anthropic/claude-sonnet-4-0": "claude-sonnet-4",
"anthropic/claude-sonnet-4-5": "claude-sonnet-4.5",
"anthropic/claude-haiku-4-5": "claude-haiku-4.5",
}
@@ -2243,15 +2144,8 @@ def probe_api_models(
api_key: Optional[str],
base_url: Optional[str],
timeout: float = 5.0,
api_mode: Optional[str] = None,
) -> dict[str, Any]:
"""Probe a ``/models`` endpoint with light URL heuristics.
For ``anthropic_messages`` mode, uses ``x-api-key`` and
``anthropic-version`` headers (Anthropic's native auth) instead of
``Authorization: Bearer``. The response shape (``data[].id``) is
identical, so the same parser works for both.
"""
"""Probe an OpenAI-compatible ``/models`` endpoint with light URL heuristics."""
normalized = (base_url or "").strip().rstrip("/")
if not normalized:
return {
@@ -2283,10 +2177,7 @@ def probe_api_models(
tried: list[str] = []
headers: dict[str, str] = {"User-Agent": _HERMES_USER_AGENT}
if api_key and api_mode == "anthropic_messages":
headers["x-api-key"] = api_key
headers["anthropic-version"] = "2023-06-01"
elif api_key:
if api_key:
headers["Authorization"] = f"Bearer {api_key}"
if normalized.startswith(COPILOT_BASE_URL):
headers.update(copilot_default_headers())
@@ -2328,10 +2219,7 @@ def _fetch_ai_gateway_models(timeout: float = 5.0) -> Optional[list[str]]:
base_url = AI_GATEWAY_BASE_URL
url = base_url.rstrip("/") + "/models"
headers: dict[str, str] = {
"Authorization": f"Bearer {api_key}",
"User-Agent": _HERMES_USER_AGENT,
}
headers: dict[str, str] = {"Authorization": f"Bearer {api_key}"}
req = urllib.request.Request(url, headers=headers)
try:
with urllib.request.urlopen(req, timeout=timeout) as resp:
@@ -2351,14 +2239,13 @@ def fetch_api_models(
api_key: Optional[str],
base_url: Optional[str],
timeout: float = 5.0,
api_mode: Optional[str] = None,
) -> Optional[list[str]]:
"""Fetch the list of available model IDs from the provider's ``/models`` endpoint.
Returns a list of model ID strings, or ``None`` if the endpoint could not
be reached (network error, timeout, auth failure, etc.).
"""
return probe_api_models(api_key, base_url, timeout=timeout, api_mode=api_mode).get("models")
return probe_api_models(api_key, base_url, timeout=timeout).get("models")
# ---------------------------------------------------------------------------
@@ -2486,7 +2373,6 @@ def validate_requested_model(
*,
api_key: Optional[str] = None,
base_url: Optional[str] = None,
api_mode: Optional[str] = None,
) -> dict[str, Any]:
"""
Validate a ``/model`` value for the active provider.
@@ -2528,11 +2414,7 @@ def validate_requested_model(
}
if normalized == "custom":
# Try probing with correct auth for the api_mode.
if api_mode == "anthropic_messages":
probe = probe_api_models(api_key, base_url, api_mode=api_mode)
else:
probe = probe_api_models(api_key, base_url)
probe = probe_api_models(api_key, base_url)
api_models = probe.get("models")
if api_models is not None:
if requested_for_lookup in set(api_models):
@@ -2581,17 +2463,12 @@ def validate_requested_model(
f"Note: could not reach this custom endpoint's model listing at `{probe.get('probed_url')}`. "
f"Hermes will still save `{requested}`, but the endpoint should expose `/models` for verification."
)
if api_mode == "anthropic_messages":
message += (
"\n Many Anthropic-compatible proxies do not implement the Models API "
"(GET /v1/models). The model name has been accepted without verification."
)
if probe.get("suggested_base_url"):
message += f"\n If this server expects `/v1`, try base URL: `{probe.get('suggested_base_url')}`"
return {
"accepted": api_mode == "anthropic_messages",
"persist": True,
"accepted": False,
"persist": False,
"recognized": False,
"message": message,
}
@@ -2679,100 +2556,10 @@ def validate_requested_model(
),
}
# Native Anthropic provider: /v1/models requires x-api-key (or Bearer for
# OAuth) plus anthropic-version headers. The generic OpenAI-style probe
# below uses plain Bearer auth and 401s against Anthropic, so dispatch to
# the native fetcher which handles both API keys and Claude-Code OAuth
# tokens. (The api_mode=="anthropic_messages" branch below handles the
# Messages-API transport case separately.)
if normalized == "anthropic":
anthropic_models = _fetch_anthropic_models()
if anthropic_models is not None:
if requested_for_lookup in set(anthropic_models):
return {
"accepted": True,
"persist": True,
"recognized": True,
"message": None,
}
auto = get_close_matches(requested_for_lookup, anthropic_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested, anthropic_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
suggestion_text = "\n Similar models: " + ", ".join(f"`{s}`" for s in suggestions)
# Accept anyway — Anthropic sometimes gates newer/preview models
# (e.g. snapshot IDs, early-access releases) behind accounts
# even though they aren't listed on /v1/models.
return {
"accepted": True,
"persist": True,
"recognized": False,
"message": (
f"Note: `{requested}` was not found in Anthropic's /v1/models listing. "
f"It may still work if you have early-access or snapshot IDs."
f"{suggestion_text}"
),
}
# _fetch_anthropic_models returned None — no token resolvable or
# network failure. Fall through to the generic warning below.
# Anthropic Messages API: many proxies don't implement /v1/models.
# Try probing with correct auth; if it fails, accept with a warning.
if api_mode == "anthropic_messages":
api_models = fetch_api_models(api_key, base_url, api_mode=api_mode)
if api_models is not None:
if requested_for_lookup in set(api_models):
return {
"accepted": True,
"persist": True,
"recognized": True,
"message": None,
}
auto = get_close_matches(requested_for_lookup, api_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
# Probe failed or model not found — accept anyway (proxy likely
# doesn't implement the Anthropic Models API).
return {
"accepted": True,
"persist": True,
"recognized": False,
"message": (
f"Note: could not verify `{requested}` against this endpoint's "
f"model listing. Many Anthropic-compatible proxies do not "
f"implement GET /v1/models. The model name has been accepted "
f"without verification."
),
}
# Probe the live API to check if the model actually exists
api_models = fetch_api_models(api_key, base_url)
if api_models is not None:
# Gemini's OpenAI-compat /v1beta/openai/models endpoint returns IDs
# prefixed with "models/" (e.g. "models/gemini-2.5-flash") — native
# Gemini-API convention. Our curated list and user input both use
# the bare ID, so a direct set-membership check drops every known
# Gemini model. Strip the prefix before comparison. See #12532.
if normalized == "gemini":
api_models = [
m[len("models/"):] if isinstance(m, str) and m.startswith("models/") else m
for m in api_models
]
if requested_for_lookup in set(api_models):
# API confirmed the model exists
return {
-1
View File
@@ -38,7 +38,6 @@ PLATFORMS: OrderedDict[str, PlatformInfo] = OrderedDict([
("qqbot", PlatformInfo(label="💬 QQBot", default_toolset="hermes-qqbot")),
("webhook", PlatformInfo(label="🔗 Webhook", default_toolset="hermes-webhook")),
("api_server", PlatformInfo(label="🌐 API Server", default_toolset="hermes-api-server")),
("cron", PlatformInfo(label="⏰ Cron", default_toolset="hermes-cron")),
])
-8
View File
@@ -71,14 +71,6 @@ VALID_HOOKS: Set[str] = {
"on_session_finalize",
"on_session_reset",
"subagent_stop",
# Gateway pre-dispatch hook. Fired once per incoming MessageEvent
# after the internal-event guard but BEFORE auth/pairing and agent
# dispatch. Plugins may return a dict to influence flow:
# {"action": "skip", "reason": "..."} -> drop message (no reply)
# {"action": "rewrite", "text": "..."} -> replace event.text, continue
# {"action": "allow"} / None -> normal dispatch
# Kwargs: event: MessageEvent, gateway: GatewayRunner, session_store.
"pre_gateway_dispatch",
}
ENTRY_POINTS_GROUP = "hermes_agent.plugins"
-7
View File
@@ -116,10 +116,6 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
transport="openai_chat",
base_url_env_var="DASHSCOPE_BASE_URL",
),
"alibaba-coding-plan": HermesOverlay(
transport="openai_chat",
base_url_env_var="ALIBABA_CODING_PLAN_BASE_URL",
),
"vercel": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
@@ -263,9 +259,6 @@ ALIASES: Dict[str, str] = {
"aliyun": "alibaba",
"qwen": "alibaba",
"alibaba-cloud": "alibaba",
"alibaba_coding": "alibaba-coding-plan",
"alibaba-coding": "alibaba-coding-plan",
"alibaba_coding_plan": "alibaba-coding-plan",
# google-gemini-cli (OAuth + Code Assist)
"gemini-cli": "google-gemini-cli",
+6 -64
View File
@@ -36,29 +36,6 @@ def _normalize_custom_provider_name(value: str) -> str:
return value.strip().lower().replace(" ", "-")
def _loopback_hostname(host: str) -> bool:
h = (host or "").lower().rstrip(".")
return h in {"localhost", "127.0.0.1", "::1", "0.0.0.0"}
def _config_base_url_trustworthy_for_bare_custom(cfg_base_url: str, cfg_provider: str) -> bool:
"""Decide whether ``model.base_url`` may back bare ``custom`` runtime resolution.
GitHub #14676: the model picker can select Custom while ``model.provider`` still reflects a
previous provider. Reject non-loopback URLs unless the YAML provider is already ``custom``,
so a stale OpenRouter/Z.ai base_url cannot hijack local ``custom`` sessions.
"""
cfg_provider_norm = (cfg_provider or "").strip().lower()
bu = (cfg_base_url or "").strip()
if not bu:
return False
if cfg_provider_norm == "custom":
return True
if base_url_host_matches(bu, "openrouter.ai"):
return False
return _loopback_hostname(base_url_hostname(bu))
def _detect_api_mode_for_url(base_url: str) -> Optional[str]:
"""Auto-detect api_mode from the resolved base URL.
@@ -183,16 +160,8 @@ def _resolve_runtime_from_pool_entry(
requested_provider: str,
model_cfg: Optional[Dict[str, Any]] = None,
pool: Optional[CredentialPool] = None,
target_model: Optional[str] = None,
) -> Dict[str, Any]:
model_cfg = model_cfg or _get_model_config()
# When the caller is resolving for a specific target model (e.g. a /model
# mid-session switch), prefer that over the persisted model.default. This
# prevents api_mode being computed from a stale config default that no
# longer matches the model actually being used — the bug that caused
# opencode-zen /v1 to be stripped for chat_completions requests when
# config.default was still a Claude model.
effective_model = (target_model or model_cfg.get("default") or "")
base_url = (getattr(entry, "runtime_base_url", None) or getattr(entry, "base_url", None) or "").rstrip("/")
api_key = getattr(entry, "runtime_api_key", None) or getattr(entry, "access_token", "")
api_mode = "chat_completions"
@@ -238,7 +207,7 @@ def _resolve_runtime_from_pool_entry(
api_mode = configured_mode
elif provider in ("opencode-zen", "opencode-go"):
from hermes_cli.models import opencode_model_api_mode
api_mode = opencode_model_api_mode(provider, effective_model)
api_mode = opencode_model_api_mode(provider, model_cfg.get("default", ""))
else:
# Auto-detect Anthropic-compatible endpoints (/anthropic suffix,
# Kimi /coding, api.openai.com → codex_responses, api.x.ai →
@@ -354,16 +323,12 @@ def _get_named_custom_provider(requested_provider: str) -> Optional[Dict[str, An
# Found match by provider key
base_url = entry.get("api") or entry.get("url") or entry.get("base_url") or ""
if base_url:
result = {
return {
"name": entry.get("name", ep_name),
"base_url": base_url.strip(),
"api_key": resolved_api_key,
"model": entry.get("default_model", ""),
}
api_mode = _parse_api_mode(entry.get("api_mode"))
if api_mode:
result["api_mode"] = api_mode
return result
# Also check the 'name' field if present
display_name = entry.get("name", "")
if display_name:
@@ -372,16 +337,12 @@ def _get_named_custom_provider(requested_provider: str) -> Optional[Dict[str, An
# Found match by display name
base_url = entry.get("api") or entry.get("url") or entry.get("base_url") or ""
if base_url:
result = {
return {
"name": display_name,
"base_url": base_url.strip(),
"api_key": resolved_api_key,
"model": entry.get("default_model", ""),
}
api_mode = _parse_api_mode(entry.get("api_mode"))
if api_mode:
result["api_mode"] = api_mode
return result
# Fall back to custom_providers: list (legacy format)
custom_providers = config.get("custom_providers")
@@ -503,7 +464,6 @@ def _resolve_openrouter_runtime(
cfg_provider = cfg_provider.strip().lower()
env_openrouter_base_url = os.getenv("OPENROUTER_BASE_URL", "").strip()
env_custom_base_url = os.getenv("CUSTOM_BASE_URL", "").strip()
# Use config base_url when available and the provider context matches.
# OPENAI_BASE_URL env var is no longer consulted — config.yaml is
@@ -513,14 +473,11 @@ def _resolve_openrouter_runtime(
if requested_norm == "auto":
if not cfg_provider or cfg_provider == "auto":
use_config_base_url = True
elif requested_norm == "custom" and _config_base_url_trustworthy_for_bare_custom(
cfg_base_url, cfg_provider
):
elif requested_norm == "custom" and cfg_provider == "custom":
use_config_base_url = True
base_url = (
(explicit_base_url or "").strip()
or env_custom_base_url
or (cfg_base_url.strip() if use_config_base_url else "")
or env_openrouter_base_url
or OPENROUTER_BASE_URL
@@ -732,18 +689,8 @@ def resolve_runtime_provider(
requested: Optional[str] = None,
explicit_api_key: Optional[str] = None,
explicit_base_url: Optional[str] = None,
target_model: Optional[str] = None,
) -> Dict[str, Any]:
"""Resolve runtime provider credentials for agent execution.
target_model: Optional override for model_cfg.get("default") when
computing provider-specific api_mode (e.g. OpenCode Zen/Go where different
models route through different API surfaces). Callers performing an
explicit mid-session model switch should pass the new model here so
api_mode is derived from the model they are switching TO, not the stale
persisted default. Other callers can leave it None to preserve existing
behavior (api_mode derived from config).
"""
"""Resolve runtime provider credentials for agent execution."""
requested_provider = resolve_requested_provider(requested)
custom_runtime = _resolve_named_custom_runtime(
@@ -825,7 +772,6 @@ def resolve_runtime_provider(
requested_provider=requested_provider,
model_cfg=model_cfg,
pool=pool,
target_model=target_model,
)
if provider == "nous":
@@ -1044,11 +990,7 @@ def resolve_runtime_provider(
api_mode = configured_mode
elif provider in ("opencode-zen", "opencode-go"):
from hermes_cli.models import opencode_model_api_mode
# Prefer the target_model from the caller (explicit mid-session
# switch) over the stale model.default; see _resolve_runtime_from_pool_entry
# for the same rationale.
_effective = target_model or model_cfg.get("default", "")
api_mode = opencode_model_api_mode(provider, _effective)
api_mode = opencode_model_api_mode(provider, model_cfg.get("default", ""))
else:
# Auto-detect Anthropic-compatible endpoints by URL convention
# (e.g. https://api.minimax.io/anthropic, https://dashscope.../anthropic)
+1 -10
View File
@@ -103,7 +103,7 @@ _DEFAULT_PROVIDER_MODELS = {
"ai-gateway": ["anthropic/claude-opus-4.6", "anthropic/claude-sonnet-4.6", "openai/gpt-5", "google/gemini-3-flash"],
"kilocode": ["anthropic/claude-opus-4.6", "anthropic/claude-sonnet-4.6", "openai/gpt-5.4", "google/gemini-3-pro-preview", "google/gemini-3-flash-preview"],
"opencode-zen": ["gpt-5.4", "gpt-5.3-codex", "claude-sonnet-4-6", "gemini-3-flash", "glm-5", "kimi-k2.5", "minimax-m2.7"],
"opencode-go": ["kimi-k2.6", "kimi-k2.5", "glm-5.1", "glm-5", "mimo-v2.5-pro", "mimo-v2.5", "mimo-v2-pro", "mimo-v2-omni", "minimax-m2.7", "minimax-m2.5", "qwen3.6-plus", "qwen3.5-plus"],
"opencode-go": ["kimi-k2.6", "kimi-k2.5", "glm-5.1", "glm-5", "mimo-v2-pro", "mimo-v2-omni", "minimax-m2.5", "minimax-m2.7", "qwen3.6-plus", "qwen3.5-plus"],
"huggingface": [
"Qwen/Qwen3.5-397B-A17B", "Qwen/Qwen3-235B-A22B-Thinking-2507",
"Qwen/Qwen3-Coder-480B-A35B-Instruct", "deepseek-ai/DeepSeek-R1-0528",
@@ -500,15 +500,6 @@ def _print_setup_summary(config: dict, hermes_home):
if get_env_value("HASS_TOKEN"):
tool_status.append(("Smart Home (Home Assistant)", True, None))
# Spotify (OAuth via hermes auth spotify — check auth.json, not env vars)
try:
from hermes_cli.auth import get_provider_auth_state
_spotify_state = get_provider_auth_state("spotify") or {}
if _spotify_state.get("access_token") or _spotify_state.get("refresh_token"):
tool_status.append(("Spotify (PKCE OAuth)", True, None))
except Exception:
pass
# Skills Hub
if get_env_value("GITHUB_TOKEN"):
tool_status.append(("Skills Hub (GitHub)", True, None))
+6 -13
View File
@@ -164,26 +164,19 @@ def show_status(args):
qwen_status = {}
nous_logged_in = bool(nous_status.get("logged_in"))
nous_error = nous_status.get("error")
nous_label = "logged in" if nous_logged_in else "not logged in (run: hermes auth add nous --type oauth)"
print(
f" {'Nous Portal':<12} {check_mark(nous_logged_in)} "
f"{nous_label}"
f"{'logged in' if nous_logged_in else 'not logged in (run: hermes model)'}"
)
portal_url = nous_status.get("portal_base_url") or "(unknown)"
access_exp = _format_iso_timestamp(nous_status.get("access_expires_at"))
key_exp = _format_iso_timestamp(nous_status.get("agent_key_expires_at"))
refresh_label = "yes" if nous_status.get("has_refresh_token") else "no"
if nous_logged_in or portal_url != "(unknown)" or nous_error:
if nous_logged_in:
portal_url = nous_status.get("portal_base_url") or "(unknown)"
access_exp = _format_iso_timestamp(nous_status.get("access_expires_at"))
key_exp = _format_iso_timestamp(nous_status.get("agent_key_expires_at"))
refresh_label = "yes" if nous_status.get("has_refresh_token") else "no"
print(f" Portal URL: {portal_url}")
if nous_logged_in or nous_status.get("access_expires_at"):
print(f" Access exp: {access_exp}")
if nous_logged_in or nous_status.get("agent_key_expires_at"):
print(f" Key exp: {key_exp}")
if nous_logged_in or nous_status.get("has_refresh_token"):
print(f" Refresh: {refresh_label}")
if nous_error and not nous_logged_in:
print(f" Error: {nous_error}")
codex_logged_in = bool(codex_status.get("logged_in"))
print(
+1 -2
View File
@@ -127,7 +127,7 @@ TIPS = [
# --- Tools & Capabilities ---
"execute_code runs Python scripts that call Hermes tools programmatically — results stay out of context.",
"delegate_task spawns up to 3 concurrent sub-agents by default (delegation.max_concurrent_children) with isolated contexts for parallel work.",
"delegate_task spawns up to 3 concurrent sub-agents by default (configurable via delegation.max_concurrent_children) with isolated contexts for parallel work.",
"web_extract works on PDF URLs — pass any PDF link and it converts to markdown.",
"search_files is ripgrep-backed and faster than grep — use it instead of terminal grep.",
"patch uses 9 fuzzy matching strategies so minor whitespace differences won't break edits.",
@@ -289,7 +289,6 @@ TIPS = [
"When a provider returns HTTP 402 (payment required), the auxiliary client auto-falls back to the next one.",
"agent.tool_use_enforcement steers models that describe actions instead of calling tools — auto for GPT/Codex.",
"agent.restart_drain_timeout (default 60s) lets running agents finish before a gateway restart takes effect.",
"agent.api_max_retries (default 3) controls how many times the agent retries a failed API call before surfacing the error — lower it for fast fallback.",
"The gateway caches AIAgent instances per session — destroying this cache breaks Anthropic prompt caching.",
"Any website can expose skills via /.well-known/skills/index.json — the skills hub discovers them automatically.",
"The skills audit log at ~/.hermes/skills/.hub/audit.log tracks every install and removal operation.",
+18 -34
View File
@@ -13,7 +13,7 @@ import json as _json
import logging
import sys
from pathlib import Path
from typing import Dict, List, Optional, Set
from typing import Any, Callable, Dict, List, Optional, Set, Tuple, TypedDict
from hermes_cli.config import (
@@ -67,13 +67,12 @@ CONFIGURABLE_TOOLSETS = [
("messaging", "📨 Cross-Platform Messaging", "send_message"),
("rl", "🧪 RL Training", "Tinker-Atropos training tools"),
("homeassistant", "🏠 Home Assistant", "smart home device control"),
("spotify", "🎵 Spotify", "playback, search, playlists, library"),
]
# Toolsets that are OFF by default for new installs.
# They're still in _HERMES_CORE_TOOLS (available at runtime if enabled),
# but the setup checklist won't pre-select them for first-time users.
_DEFAULT_OFF_TOOLSETS = {"moa", "homeassistant", "rl", "spotify"}
_DEFAULT_OFF_TOOLSETS = {"moa", "homeassistant", "rl"}
def _get_effective_configurable_toolsets():
@@ -362,22 +361,6 @@ TOOL_CATEGORIES = {
},
],
},
"spotify": {
"name": "Spotify",
"icon": "🎵",
"providers": [
{
"name": "Spotify Web API",
"tag": "PKCE OAuth — run `hermes auth spotify` after this",
"env_vars": [
{"key": "HERMES_SPOTIFY_CLIENT_ID", "prompt": "Spotify app client_id",
"url": "https://developer.spotify.com/dashboard"},
{"key": "HERMES_SPOTIFY_REDIRECT_URI", "prompt": "Redirect URI (must be allow-listed in your Spotify app)",
"default": "http://127.0.0.1:43827/spotify/callback"},
],
},
],
},
"rl": {
"name": "RL Training",
"icon": "🧪",
@@ -607,10 +590,7 @@ def _get_platform_tools(
default_off.remove(platform)
enabled_toolsets -= default_off
# Plugin toolsets: enabled by default unless explicitly disabled, or
# unless the toolset is in _DEFAULT_OFF_TOOLSETS (e.g. spotify —
# shipped as a bundled plugin but user must opt in via `hermes tools`
# so we don't ship 7 Spotify tool schemas to users who don't use it).
# Plugin toolsets: enabled by default unless explicitly disabled.
# A plugin toolset is "known" for a platform once `hermes tools`
# has been saved for that platform (tracked via known_plugin_toolsets).
# Unknown plugins default to enabled; known-but-absent = disabled.
@@ -622,9 +602,6 @@ def _get_platform_tools(
if pts in toolset_names:
# Explicitly listed in config — enabled
enabled_toolsets.add(pts)
elif pts in _DEFAULT_OFF_TOOLSETS:
# Opt-in plugin toolset — stay off until user picks it
continue
elif pts not in known_for_platform:
# New plugin not yet seen by hermes tools — default enabled
enabled_toolsets.add(pts)
@@ -771,7 +748,7 @@ def _estimate_tool_tokens() -> Dict[str, int]:
OpenAI-format tool schema. Triggers tool discovery on first call,
then caches the result for the rest of the process.
Returns an empty dict when tiktoken or the registry is unavailable.
Returns an empty dict when the registry is unavailable.
"""
global _tool_token_cache
if _tool_token_cache is not None:
@@ -779,11 +756,12 @@ def _estimate_tool_tokens() -> Dict[str, int]:
try:
import tiktoken
enc = tiktoken.get_encoding("cl100k_base")
except Exception:
logger.debug("tiktoken unavailable; skipping tool token estimation")
_tool_token_cache = {}
return _tool_token_cache
except ImportError:
raise ImportError(
"tiktoken is required for tool token estimation. "
"Install with: pip install hermes-agent[cli]"
) from None
enc = tiktoken.get_encoding("cl100k_base")
try:
# Trigger full tool discovery (imports all tool modules).
@@ -1121,13 +1099,19 @@ def _detect_active_provider_index(providers: list, config: dict) -> int:
# right catalog at picker time.
def _fal_model_catalog():
class _ImagegenBackend(TypedDict):
display: str
config_key: str
catalog_fn: Callable[[], Tuple[Dict[str, Dict[str, Any]], str]]
def _fal_model_catalog() -> Tuple[Dict[str, Dict[str, Any]], str]:
"""Lazy-load the FAL model catalog from the tool module."""
from tools.image_generation_tool import FAL_MODELS, DEFAULT_MODEL
return FAL_MODELS, DEFAULT_MODEL
IMAGEGEN_BACKENDS = {
IMAGEGEN_BACKENDS: Dict[str, _ImagegenBackend] = {
"fal": {
"display": "FAL.ai",
"config_key": "image_gen",
-548
View File
@@ -1,548 +0,0 @@
"""Process-wide voice recording + TTS API for the TUI gateway.
Wraps ``tools.voice_mode`` (recording/transcription) and ``tools.tts_tool``
(text-to-speech) behind idempotent, stateful entry points that the gateway's
``voice.record``, ``voice.toggle``, and ``voice.tts`` JSON-RPC handlers can
call from a dedicated thread. The gateway imports this module lazily so that
missing optional audio deps (sounddevice, faster-whisper, numpy) surface as
an ``ImportError`` at call time, not at startup.
Two usage modes are exposed:
* **Push-to-talk** (``start_recording`` / ``stop_and_transcribe``) single
manually-bounded capture used when the caller drives the start/stop pair
explicitly.
* **Continuous (VAD)** (``start_continuous`` / ``stop_continuous``) mirrors
the classic CLI voice mode: recording auto-stops on silence, transcribes,
hands the result to a callback, and then auto-restarts for the next turn.
Three consecutive no-speech cycles stop the loop and fire
``on_silent_limit`` so the UI can turn the mode off.
"""
from __future__ import annotations
import logging
import os
import sys
import threading
from typing import Any, Callable, Optional
from tools.voice_mode import (
create_audio_recorder,
is_whisper_hallucination,
play_audio_file,
transcribe_recording,
)
logger = logging.getLogger(__name__)
def _debug(msg: str) -> None:
"""Emit a debug breadcrumb when HERMES_VOICE_DEBUG=1.
Goes to stderr so the TUI gateway wraps it as a gateway.stderr event,
which createGatewayEventHandler shows as an Activity line exactly
what we need to diagnose "why didn't the loop auto-restart?" in the
user's real terminal without shipping a separate debug RPC.
Any OSError / BrokenPipeError is swallowed because this fires from
background threads (silence callback, TTS daemon, beep) where a
broken stderr pipe must not kill the whole gateway the main
command pipe (stdin+stdout) is what actually matters.
"""
if os.environ.get("HERMES_VOICE_DEBUG", "").strip() != "1":
return
try:
print(f"[voice] {msg}", file=sys.stderr, flush=True)
except (BrokenPipeError, OSError):
pass
def _beeps_enabled() -> bool:
"""CLI parity: voice.beep_enabled in config.yaml (default True)."""
try:
from hermes_cli.config import load_config
voice_cfg = load_config().get("voice", {})
if isinstance(voice_cfg, dict):
return bool(voice_cfg.get("beep_enabled", True))
except Exception:
pass
return True
def _play_beep(frequency: int, count: int = 1) -> None:
"""Audible cue matching cli.py's record/stop beeps.
880 Hz single-beep on start (cli.py:_voice_start_recording line 7532),
660 Hz double-beep on stop (cli.py:_voice_stop_and_transcribe line 7585).
Best-effort sounddevice failures are silently swallowed so the
voice loop never breaks because a speaker was unavailable.
"""
if not _beeps_enabled():
return
try:
from tools.voice_mode import play_beep
play_beep(frequency=frequency, count=count)
except Exception as e:
_debug(f"beep {frequency}Hz failed: {e}")
# ── Push-to-talk state ───────────────────────────────────────────────
_recorder = None
_recorder_lock = threading.Lock()
# ── Continuous (VAD) state ───────────────────────────────────────────
_continuous_lock = threading.Lock()
_continuous_active = False
_continuous_recorder: Any = None
# ── TTS-vs-STT feedback guard ────────────────────────────────────────
# When TTS plays the agent reply over the speakers, the live microphone
# picks it up and transcribes the agent's own voice as user input — an
# infinite loop the agent happily joins ("Ha, looks like we're in a loop").
# This Event mirrors cli.py:_voice_tts_done: cleared while speak_text is
# playing, set while silent. _continuous_on_silence waits on it before
# re-arming the recorder, and speak_text itself cancels any live capture
# before starting playback so the tail of the previous utterance doesn't
# leak into the mic.
_tts_playing = threading.Event()
_tts_playing.set() # initially "not playing"
_continuous_on_transcript: Optional[Callable[[str], None]] = None
_continuous_on_status: Optional[Callable[[str], None]] = None
_continuous_on_silent_limit: Optional[Callable[[], None]] = None
_continuous_no_speech_count = 0
_CONTINUOUS_NO_SPEECH_LIMIT = 3
# ── Push-to-talk API ─────────────────────────────────────────────────
def start_recording() -> None:
"""Begin capturing from the default input device (push-to-talk).
Idempotent calling again while a recording is in progress is a no-op.
"""
global _recorder
with _recorder_lock:
if _recorder is not None and getattr(_recorder, "is_recording", False):
return
rec = create_audio_recorder()
rec.start()
_recorder = rec
def stop_and_transcribe() -> Optional[str]:
"""Stop the active push-to-talk recording, transcribe, return text.
Returns ``None`` when no recording is active, when the microphone
captured no speech, or when Whisper returned a known hallucination.
"""
global _recorder
with _recorder_lock:
rec = _recorder
_recorder = None
if rec is None:
return None
wav_path = rec.stop()
if not wav_path:
return None
try:
result = transcribe_recording(wav_path)
except Exception as e:
logger.warning("voice transcription failed: %s", e)
return None
finally:
try:
if os.path.isfile(wav_path):
os.unlink(wav_path)
except Exception:
pass
# transcribe_recording returns {"success": bool, "transcript": str, ...}
# — matches cli.py:_voice_stop_and_transcribe's result.get("transcript").
if not result.get("success"):
return None
text = (result.get("transcript") or "").strip()
if not text or is_whisper_hallucination(text):
return None
return text
# ── Continuous (VAD) API ─────────────────────────────────────────────
def start_continuous(
on_transcript: Callable[[str], None],
on_status: Optional[Callable[[str], None]] = None,
on_silent_limit: Optional[Callable[[], None]] = None,
silence_threshold: int = 200,
silence_duration: float = 3.0,
) -> None:
"""Start a VAD-driven continuous recording loop.
The loop calls ``on_transcript(text)`` each time speech is detected and
transcribed successfully, then auto-restarts. After
``_CONTINUOUS_NO_SPEECH_LIMIT`` consecutive silent cycles (no speech
picked up at all) the loop stops itself and calls ``on_silent_limit``
so the UI can reflect "voice off". Idempotent calling while already
active is a no-op.
``on_status`` is called with ``"listening"`` / ``"transcribing"`` /
``"idle"`` so the UI can show a live indicator.
"""
global _continuous_active, _continuous_recorder
global _continuous_on_transcript, _continuous_on_status, _continuous_on_silent_limit
global _continuous_no_speech_count
with _continuous_lock:
if _continuous_active:
_debug("start_continuous: already active — no-op")
return
_continuous_active = True
_continuous_on_transcript = on_transcript
_continuous_on_status = on_status
_continuous_on_silent_limit = on_silent_limit
_continuous_no_speech_count = 0
if _continuous_recorder is None:
_continuous_recorder = create_audio_recorder()
_continuous_recorder._silence_threshold = silence_threshold
_continuous_recorder._silence_duration = silence_duration
rec = _continuous_recorder
_debug(
f"start_continuous: begin (threshold={silence_threshold}, duration={silence_duration}s)"
)
# CLI parity: single 880 Hz beep *before* opening the stream — placing
# the beep after stream.start() on macOS triggers a CoreAudio conflict
# (cli.py:7528 comment).
_play_beep(frequency=880, count=1)
try:
rec.start(on_silence_stop=_continuous_on_silence)
except Exception as e:
logger.error("failed to start continuous recording: %s", e)
_debug(f"start_continuous: rec.start raised {type(e).__name__}: {e}")
with _continuous_lock:
_continuous_active = False
raise
if on_status:
try:
on_status("listening")
except Exception:
pass
def stop_continuous() -> None:
"""Stop the active continuous loop and release the microphone.
Idempotent calling while not active is a no-op. Any in-flight
transcription completes but its result is discarded (the callback
checks ``_continuous_active`` before firing).
"""
global _continuous_active, _continuous_on_transcript
global _continuous_on_status, _continuous_on_silent_limit
global _continuous_recorder, _continuous_no_speech_count
with _continuous_lock:
if not _continuous_active:
return
_continuous_active = False
rec = _continuous_recorder
on_status = _continuous_on_status
_continuous_on_transcript = None
_continuous_on_status = None
_continuous_on_silent_limit = None
_continuous_no_speech_count = 0
if rec is not None:
try:
# cancel() (not stop()) discards buffered frames — the loop
# is over, we don't want to transcribe a half-captured turn.
rec.cancel()
except Exception as e:
logger.warning("failed to cancel recorder: %s", e)
# Audible "recording stopped" cue (CLI parity: same 660 Hz × 2 the
# silence-auto-stop path plays).
_play_beep(frequency=660, count=2)
if on_status:
try:
on_status("idle")
except Exception:
pass
def is_continuous_active() -> bool:
"""Whether a continuous voice loop is currently running."""
with _continuous_lock:
return _continuous_active
def _continuous_on_silence() -> None:
"""AudioRecorder silence callback — runs in a daemon thread.
Stops the current capture, transcribes, delivers the text via
``on_transcript``, and if the loop is still active starts the
next capture. Three consecutive silent cycles end the loop.
"""
global _continuous_active, _continuous_no_speech_count
_debug("_continuous_on_silence: fired")
with _continuous_lock:
if not _continuous_active:
_debug("_continuous_on_silence: loop inactive — abort")
return
rec = _continuous_recorder
on_transcript = _continuous_on_transcript
on_status = _continuous_on_status
on_silent_limit = _continuous_on_silent_limit
if rec is None:
_debug("_continuous_on_silence: no recorder — abort")
return
if on_status:
try:
on_status("transcribing")
except Exception:
pass
wav_path = rec.stop()
# Peak RMS is the critical diagnostic when stop() returns None despite
# the VAD firing — tells us at a glance whether the mic was too quiet
# for SILENCE_RMS_THRESHOLD (200) or the VAD + peak checks disagree.
peak_rms = getattr(rec, "_peak_rms", -1)
_debug(
f"_continuous_on_silence: rec.stop -> {wav_path!r} (peak_rms={peak_rms})"
)
# CLI parity: double 660 Hz beep after the stream stops (safe from the
# CoreAudio conflict that blocks pre-start beeps).
_play_beep(frequency=660, count=2)
transcript: Optional[str] = None
if wav_path:
try:
result = transcribe_recording(wav_path)
# transcribe_recording returns {"success": bool, "transcript": str,
# "error": str?} — NOT {"text": str}. Using the wrong key silently
# produced empty transcripts even when Groq/local STT returned fine,
# which masqueraded as "not hearing the user" to the caller.
success = bool(result.get("success"))
text = (result.get("transcript") or "").strip()
err = result.get("error")
_debug(
f"_continuous_on_silence: transcribe -> success={success} "
f"text={text!r} err={err!r}"
)
if success and text and not is_whisper_hallucination(text):
transcript = text
except Exception as e:
logger.warning("continuous transcription failed: %s", e)
_debug(f"_continuous_on_silence: transcribe raised {type(e).__name__}: {e}")
finally:
try:
if os.path.isfile(wav_path):
os.unlink(wav_path)
except Exception:
pass
with _continuous_lock:
if not _continuous_active:
# User stopped us while we were transcribing — discard.
_debug("_continuous_on_silence: stopped during transcribe — no restart")
return
if transcript:
_continuous_no_speech_count = 0
else:
_continuous_no_speech_count += 1
should_halt = _continuous_no_speech_count >= _CONTINUOUS_NO_SPEECH_LIMIT
no_speech = _continuous_no_speech_count
if transcript and on_transcript:
try:
on_transcript(transcript)
except Exception as e:
logger.warning("on_transcript callback raised: %s", e)
if should_halt:
_debug(f"_continuous_on_silence: {no_speech} silent cycles — halting")
with _continuous_lock:
_continuous_active = False
_continuous_no_speech_count = 0
if on_silent_limit:
try:
on_silent_limit()
except Exception:
pass
try:
rec.cancel()
except Exception:
pass
if on_status:
try:
on_status("idle")
except Exception:
pass
return
# CLI parity (cli.py:10619-10621): wait for any in-flight TTS to
# finish before re-arming the mic, then leave a small gap to avoid
# catching the tail of the speaker output. Without this the voice
# loop becomes a feedback loop — the agent's spoken reply lands
# back in the mic and gets re-submitted.
if not _tts_playing.is_set():
_debug("_continuous_on_silence: waiting for TTS to finish")
_tts_playing.wait(timeout=60)
import time as _time
_time.sleep(0.3)
# User may have stopped the loop during the wait.
with _continuous_lock:
if not _continuous_active:
_debug("_continuous_on_silence: stopped while waiting for TTS")
return
# Restart for the next turn.
_debug(f"_continuous_on_silence: restarting loop (no_speech={no_speech})")
_play_beep(frequency=880, count=1)
try:
rec.start(on_silence_stop=_continuous_on_silence)
except Exception as e:
logger.error("failed to restart continuous recording: %s", e)
_debug(f"_continuous_on_silence: restart raised {type(e).__name__}: {e}")
with _continuous_lock:
_continuous_active = False
return
if on_status:
try:
on_status("listening")
except Exception:
pass
# ── TTS API ──────────────────────────────────────────────────────────
def speak_text(text: str) -> None:
"""Synthesize ``text`` with the configured TTS provider and play it.
Mirrors cli.py:_voice_speak_response exactly same markdown strip
pipeline, same 4000-char cap, same explicit mp3 output path, same
MP3-over-OGG playback choice (afplay misbehaves on OGG), same cleanup
of both extensions. Keeping these in sync means a voice-mode TTS
session in the TUI sounds identical to one in the classic CLI.
While playback is in flight the module-level _tts_playing Event is
cleared so the continuous-recording loop knows to wait before
re-arming the mic (otherwise the agent's spoken reply feedback-loops
through the microphone and the agent ends up replying to itself).
"""
if not text or not text.strip():
return
import re
import tempfile
import time
# Cancel any live capture before we open the speakers — otherwise the
# last ~200ms of the user's turn tail + the first syllables of our TTS
# both end up in the next recording window. The continuous loop will
# re-arm itself after _tts_playing flips back (see _continuous_on_silence).
paused_recording = False
with _continuous_lock:
if (
_continuous_active
and _continuous_recorder is not None
and getattr(_continuous_recorder, "is_recording", False)
):
try:
_continuous_recorder.cancel()
paused_recording = True
except Exception as e:
logger.warning("failed to pause recorder for TTS: %s", e)
_tts_playing.clear()
_debug(f"speak_text: TTS begin (paused_recording={paused_recording})")
try:
from tools.tts_tool import text_to_speech_tool
tts_text = text[:4000] if len(text) > 4000 else text
tts_text = re.sub(r'```[\s\S]*?```', ' ', tts_text) # fenced code blocks
tts_text = re.sub(r'\[([^\]]+)\]\([^)]+\)', r'\1', tts_text) # [text](url) → text
tts_text = re.sub(r'https?://\S+', '', tts_text) # bare URLs
tts_text = re.sub(r'\*\*(.+?)\*\*', r'\1', tts_text) # bold
tts_text = re.sub(r'\*(.+?)\*', r'\1', tts_text) # italic
tts_text = re.sub(r'`(.+?)`', r'\1', tts_text) # inline code
tts_text = re.sub(r'^#+\s*', '', tts_text, flags=re.MULTILINE) # headers
tts_text = re.sub(r'^\s*[-*]\s+', '', tts_text, flags=re.MULTILINE) # list bullets
tts_text = re.sub(r'---+', '', tts_text) # horizontal rules
tts_text = re.sub(r'\n{3,}', '\n\n', tts_text) # excess newlines
tts_text = tts_text.strip()
if not tts_text:
return
# MP3 output path, pre-chosen so we can play the MP3 directly even
# when text_to_speech_tool auto-converts to OGG for messaging
# platforms. afplay's OGG support is flaky, MP3 always works.
os.makedirs(os.path.join(tempfile.gettempdir(), "hermes_voice"), exist_ok=True)
mp3_path = os.path.join(
tempfile.gettempdir(),
"hermes_voice",
f"tts_{time.strftime('%Y%m%d_%H%M%S')}.mp3",
)
_debug(f"speak_text: synthesizing {len(tts_text)} chars -> {mp3_path}")
text_to_speech_tool(text=tts_text, output_path=mp3_path)
if os.path.isfile(mp3_path) and os.path.getsize(mp3_path) > 0:
_debug(f"speak_text: playing {mp3_path} ({os.path.getsize(mp3_path)} bytes)")
play_audio_file(mp3_path)
try:
os.unlink(mp3_path)
ogg_path = mp3_path.rsplit(".", 1)[0] + ".ogg"
if os.path.isfile(ogg_path):
os.unlink(ogg_path)
except OSError:
pass
else:
_debug(f"speak_text: TTS tool produced no audio at {mp3_path}")
except Exception as e:
logger.warning("Voice TTS playback failed: %s", e)
_debug(f"speak_text raised {type(e).__name__}: {e}")
finally:
_tts_playing.set()
_debug("speak_text: TTS done")
# Re-arm the mic so the user can answer without pressing Ctrl+B.
# Small delay lets the OS flush speaker output and afplay fully
# release the audio device before sounddevice re-opens the input.
if paused_recording:
time.sleep(0.3)
with _continuous_lock:
if _continuous_active and _continuous_recorder is not None:
try:
_continuous_recorder.start(
on_silence_stop=_continuous_on_silence
)
_debug("speak_text: recording resumed after TTS")
except Exception as e:
logger.warning(
"failed to resume recorder after TTS: %s", e
)
+21 -292
View File
@@ -71,7 +71,6 @@ app = FastAPI(title="Hermes Agent", version=__version__)
# Injected into the SPA HTML so only the legitimate web UI can use it.
# ---------------------------------------------------------------------------
_SESSION_TOKEN = secrets.token_urlsafe(32)
_SESSION_HEADER_NAME = "X-Hermes-Session-Token"
# Simple rate limiter for the reveal endpoint
_reveal_timestamps: List[float] = []
@@ -105,29 +104,14 @@ _PUBLIC_API_PATHS: frozenset = frozenset({
})
def _has_valid_session_token(request: Request) -> bool:
"""True if the request carries a valid dashboard session token.
def _require_token(request: Request) -> None:
"""Validate the ephemeral session token. Raises 401 on mismatch.
The dedicated session header avoids collisions with reverse proxies that
already use ``Authorization`` (for example Caddy ``basic_auth``). We still
accept the legacy Bearer path for backward compatibility with older
dashboard bundles.
Uses ``hmac.compare_digest`` to prevent timing side-channels.
"""
session_header = request.headers.get(_SESSION_HEADER_NAME, "")
if session_header and hmac.compare_digest(
session_header.encode(),
_SESSION_TOKEN.encode(),
):
return True
auth = request.headers.get("authorization", "")
expected = f"Bearer {_SESSION_TOKEN}"
return hmac.compare_digest(auth.encode(), expected.encode())
def _require_token(request: Request) -> None:
"""Validate the ephemeral session token. Raises 401 on mismatch."""
if not _has_valid_session_token(request):
if not hmac.compare_digest(auth.encode(), expected.encode()):
raise HTTPException(status_code=401, detail="Unauthorized")
@@ -221,7 +205,9 @@ async def auth_middleware(request: Request, call_next):
"""Require the session token on all /api/ routes except the public list."""
path = request.url.path
if path.startswith("/api/") and path not in _PUBLIC_API_PATHS and not path.startswith("/api/plugins/"):
if not _has_valid_session_token(request):
auth = request.headers.get("authorization", "")
expected = f"Bearer {_SESSION_TOKEN}"
if not hmac.compare_digest(auth.encode(), expected.encode()):
return JSONResponse(
status_code=401,
content={"detail": "Unauthorized"},
@@ -431,14 +417,7 @@ class EnvVarReveal(BaseModel):
_GATEWAY_HEALTH_URL = os.getenv("GATEWAY_HEALTH_URL")
try:
_GATEWAY_HEALTH_TIMEOUT = float(os.getenv("GATEWAY_HEALTH_TIMEOUT", "3"))
except (ValueError, TypeError):
_log.warning(
"Invalid GATEWAY_HEALTH_TIMEOUT value %r — using default 3.0s",
os.getenv("GATEWAY_HEALTH_TIMEOUT"),
)
_GATEWAY_HEALTH_TIMEOUT = 3.0
_GATEWAY_HEALTH_TIMEOUT = float(os.getenv("GATEWAY_HEALTH_TIMEOUT", "3"))
def _probe_gateway_health() -> tuple[bool, dict | None]:
@@ -2325,227 +2304,8 @@ _BUILTIN_DASHBOARD_THEMES = [
]
def _parse_theme_layer(value: Any, default_hex: str, default_alpha: float = 1.0) -> Optional[Dict[str, Any]]:
"""Normalise a theme layer spec from YAML into `{hex, alpha}` form.
Accepts shorthand (a bare hex string) or full dict form. Returns
``None`` on garbage input so the caller can fall back to a built-in
default rather than blowing up.
"""
if value is None:
return {"hex": default_hex, "alpha": default_alpha}
if isinstance(value, str):
return {"hex": value, "alpha": default_alpha}
if isinstance(value, dict):
hex_val = value.get("hex", default_hex)
alpha_val = value.get("alpha", default_alpha)
if not isinstance(hex_val, str):
return None
try:
alpha_f = float(alpha_val)
except (TypeError, ValueError):
alpha_f = default_alpha
return {"hex": hex_val, "alpha": max(0.0, min(1.0, alpha_f))}
return None
_THEME_DEFAULT_TYPOGRAPHY: Dict[str, str] = {
"fontSans": 'system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif',
"fontMono": 'ui-monospace, "SF Mono", "Cascadia Mono", Menlo, Consolas, monospace',
"baseSize": "15px",
"lineHeight": "1.55",
"letterSpacing": "0",
}
_THEME_DEFAULT_LAYOUT: Dict[str, str] = {
"radius": "0.5rem",
"density": "comfortable",
}
_THEME_OVERRIDE_KEYS = {
"card", "cardForeground", "popover", "popoverForeground",
"primary", "primaryForeground", "secondary", "secondaryForeground",
"muted", "mutedForeground", "accent", "accentForeground",
"destructive", "destructiveForeground", "success", "warning",
"border", "input", "ring",
}
# Well-known named asset slots themes can populate. Any other keys under
# ``assets.custom`` are exposed as ``--theme-asset-custom-<key>`` CSS vars
# for plugin/shell use.
_THEME_NAMED_ASSET_KEYS = {"bg", "hero", "logo", "crest", "sidebar", "header"}
# Component-style buckets themes can override. The value under each bucket
# is a mapping from camelCase property name to CSS string; each pair emits
# ``--component-<bucket>-<kebab-property>`` on :root. The frontend's shell
# components (Card, App header, Backdrop, etc.) consume these vars so themes
# can restyle chrome (clip-path, border-image, segmented progress, etc.)
# without shipping their own CSS.
_THEME_COMPONENT_BUCKETS = {
"card", "header", "footer", "sidebar", "tab",
"progress", "badge", "backdrop", "page",
}
_THEME_LAYOUT_VARIANTS = {"standard", "cockpit", "tiled"}
# Cap on customCSS length so a malformed/oversized theme YAML can't blow up
# the response payload or the <style> tag. 32 KiB is plenty for every
# practical reskin (the Strike Freedom demo is ~2 KiB).
_THEME_CUSTOM_CSS_MAX = 32 * 1024
def _normalise_theme_definition(data: Dict[str, Any]) -> Optional[Dict[str, Any]]:
"""Normalise a user theme YAML into the wire format `ThemeProvider`
expects. Returns ``None`` if the theme is unusable.
Accepts both the full schema (palette/typography/layout) and a loose
form with bare hex strings, so hand-written YAMLs stay friendly.
"""
if not isinstance(data, dict):
return None
name = data.get("name")
if not isinstance(name, str) or not name.strip():
return None
# Palette
palette_src = data.get("palette", {}) if isinstance(data.get("palette"), dict) else {}
# Allow top-level `colors.background` as a shorthand too.
colors_src = data.get("colors", {}) if isinstance(data.get("colors"), dict) else {}
def _layer(key: str, default_hex: str, default_alpha: float = 1.0) -> Dict[str, Any]:
spec = palette_src.get(key, colors_src.get(key))
parsed = _parse_theme_layer(spec, default_hex, default_alpha)
return parsed if parsed is not None else {"hex": default_hex, "alpha": default_alpha}
palette = {
"background": _layer("background", "#041c1c", 1.0),
"midground": _layer("midground", "#ffe6cb", 1.0),
"foreground": _layer("foreground", "#ffffff", 0.0),
"warmGlow": palette_src.get("warmGlow") or data.get("warmGlow") or "rgba(255, 189, 56, 0.35)",
"noiseOpacity": 1.0,
}
raw_noise = palette_src.get("noiseOpacity", data.get("noiseOpacity"))
try:
palette["noiseOpacity"] = float(raw_noise) if raw_noise is not None else 1.0
except (TypeError, ValueError):
palette["noiseOpacity"] = 1.0
# Typography
typo_src = data.get("typography", {}) if isinstance(data.get("typography"), dict) else {}
typography = dict(_THEME_DEFAULT_TYPOGRAPHY)
for key in ("fontSans", "fontMono", "fontDisplay", "fontUrl", "baseSize", "lineHeight", "letterSpacing"):
val = typo_src.get(key)
if isinstance(val, str) and val.strip():
typography[key] = val
# Layout
layout_src = data.get("layout", {}) if isinstance(data.get("layout"), dict) else {}
layout = dict(_THEME_DEFAULT_LAYOUT)
radius = layout_src.get("radius")
if isinstance(radius, str) and radius.strip():
layout["radius"] = radius
density = layout_src.get("density")
if isinstance(density, str) and density in ("compact", "comfortable", "spacious"):
layout["density"] = density
# Color overrides — keep only valid keys with string values.
overrides_src = data.get("colorOverrides", {})
color_overrides: Dict[str, str] = {}
if isinstance(overrides_src, dict):
for key, val in overrides_src.items():
if key in _THEME_OVERRIDE_KEYS and isinstance(val, str) and val.strip():
color_overrides[key] = val
# Assets — named slots + arbitrary user-defined keys. Values must be
# strings (URLs or CSS ``url(...)``/``linear-gradient(...)`` expressions).
# We don't fetch remote assets here; the frontend just injects them as
# CSS vars. Empty values are dropped so a theme can explicitly clear a
# slot by setting ``hero: ""``.
assets_out: Dict[str, Any] = {}
assets_src = data.get("assets", {}) if isinstance(data.get("assets"), dict) else {}
for key in _THEME_NAMED_ASSET_KEYS:
val = assets_src.get(key)
if isinstance(val, str) and val.strip():
assets_out[key] = val
custom_assets_src = assets_src.get("custom")
if isinstance(custom_assets_src, dict):
custom_assets: Dict[str, str] = {}
for key, val in custom_assets_src.items():
if (
isinstance(key, str)
and key.replace("-", "").replace("_", "").isalnum()
and isinstance(val, str)
and val.strip()
):
custom_assets[key] = val
if custom_assets:
assets_out["custom"] = custom_assets
# Custom CSS — raw CSS text the frontend injects as a scoped <style>
# tag on theme apply. Clipped to _THEME_CUSTOM_CSS_MAX to keep the
# payload bounded. We intentionally do NOT parse/sanitise the CSS
# here — the dashboard is localhost-only and themes are user-authored
# YAML in ~/.hermes/, same trust level as the config file itself.
custom_css_val = data.get("customCSS")
custom_css: Optional[str] = None
if isinstance(custom_css_val, str) and custom_css_val.strip():
custom_css = custom_css_val[:_THEME_CUSTOM_CSS_MAX]
# Component style overrides — per-bucket dicts of camelCase CSS
# property -> CSS string. The frontend converts these into CSS vars
# that shell components (Card, App header, Backdrop) consume.
component_styles_src = data.get("componentStyles", {})
component_styles: Dict[str, Dict[str, str]] = {}
if isinstance(component_styles_src, dict):
for bucket, props in component_styles_src.items():
if bucket not in _THEME_COMPONENT_BUCKETS or not isinstance(props, dict):
continue
clean: Dict[str, str] = {}
for prop, value in props.items():
if (
isinstance(prop, str)
and prop.replace("-", "").replace("_", "").isalnum()
and isinstance(value, (str, int, float))
and str(value).strip()
):
clean[prop] = str(value)
if clean:
component_styles[bucket] = clean
layout_variant_src = data.get("layoutVariant")
layout_variant = (
layout_variant_src
if isinstance(layout_variant_src, str) and layout_variant_src in _THEME_LAYOUT_VARIANTS
else "standard"
)
result: Dict[str, Any] = {
"name": name,
"label": data.get("label") or name,
"description": data.get("description", ""),
"palette": palette,
"typography": typography,
"layout": layout,
"layoutVariant": layout_variant,
}
if color_overrides:
result["colorOverrides"] = color_overrides
if assets_out:
result["assets"] = assets_out
if custom_css is not None:
result["customCSS"] = custom_css
if component_styles:
result["componentStyles"] = component_styles
return result
def _discover_user_themes() -> list:
"""Scan ~/.hermes/dashboard-themes/*.yaml for user-created themes.
Returns a list of fully-normalised theme definitions ready to ship
to the frontend, so the client can apply them without a secondary
round-trip or a built-in stub.
"""
"""Scan ~/.hermes/dashboard-themes/*.yaml for user-created themes."""
themes_dir = get_hermes_home() / "dashboard-themes"
if not themes_dir.is_dir():
return []
@@ -2553,42 +2313,33 @@ def _discover_user_themes() -> list:
for f in sorted(themes_dir.glob("*.yaml")):
try:
data = yaml.safe_load(f.read_text(encoding="utf-8"))
if isinstance(data, dict) and data.get("name"):
result.append({
"name": data["name"],
"label": data.get("label", data["name"]),
"description": data.get("description", ""),
})
except Exception:
continue
normalised = _normalise_theme_definition(data)
if normalised is not None:
result.append(normalised)
return result
@app.get("/api/dashboard/themes")
async def get_dashboard_themes():
"""Return available themes and the currently active one.
Built-in entries ship name/label/description only (the frontend owns
their full definitions in `web/src/themes/presets.ts`). User themes
from `~/.hermes/dashboard-themes/*.yaml` ship with their full
normalised definition under `definition`, so the client can apply
them without a stub.
"""
"""Return available themes and the currently active one."""
config = load_config()
active = config.get("dashboard", {}).get("theme", "default")
user_themes = _discover_user_themes()
# Merge built-in + user, user themes override built-in by name.
seen = set()
themes = []
for t in _BUILTIN_DASHBOARD_THEMES:
seen.add(t["name"])
themes.append(t)
for t in user_themes:
if t["name"] in seen:
continue
themes.append({
"name": t["name"],
"label": t["label"],
"description": t["description"],
"definition": t,
})
seen.add(t["name"])
if t["name"] not in seen:
themes.append(t)
seen.add(t["name"])
return {"themes": themes, "active": active}
@@ -2645,35 +2396,13 @@ def _discover_dashboard_plugins() -> list:
if name in seen_names:
continue
seen_names.add(name)
# Tab options: ``path`` + ``position`` for a new tab, optional
# ``override`` to replace a built-in route, and ``hidden`` to
# register the plugin component/slots without adding a tab
# (useful for slot-only plugins like a header-crest injector).
raw_tab = data.get("tab", {}) if isinstance(data.get("tab"), dict) else {}
tab_info = {
"path": raw_tab.get("path", f"/{name}"),
"position": raw_tab.get("position", "end"),
}
override_path = raw_tab.get("override")
if isinstance(override_path, str) and override_path.startswith("/"):
tab_info["override"] = override_path
if bool(raw_tab.get("hidden")):
tab_info["hidden"] = True
# Slots: list of named slot locations this plugin populates.
# The frontend exposes ``registerSlot(pluginName, slotName, Component)``
# on window; plugins with non-empty slots call it from their JS bundle.
slots_src = data.get("slots")
slots: List[str] = []
if isinstance(slots_src, list):
slots = [s for s in slots_src if isinstance(s, str) and s]
plugins.append({
"name": name,
"label": data.get("label", name),
"description": data.get("description", ""),
"icon": data.get("icon", "Puzzle"),
"version": data.get("version", "0.0.0"),
"tab": tab_info,
"slots": slots,
"tab": data.get("tab", {"path": f"/{name}", "position": "end"}),
"entry": data.get("entry", "dist/index.js"),
"css": data.get("css"),
"has_api": bool(data.get("api")),
+1 -1
View File
@@ -142,7 +142,7 @@ class _ComponentFilter(logging.Filter):
# Used by _ComponentFilter and exposed for ``hermes logs --component``.
COMPONENT_PREFIXES = {
"gateway": ("gateway",),
"agent": ("agent", "run_agent", "model_tools", "batch_runner"),
"agent": ("agent", "run_agent", "model_tools", "scripts.batch_runner"),
"tools": ("tools",),
"cli": ("hermes_cli", "cli"),
"cron": ("cron",),
-65
View File
@@ -1039,71 +1039,6 @@ class SessionDB:
result.append(msg)
return result
def resolve_resume_session_id(self, session_id: str) -> str:
"""Redirect a resume target to the descendant session that holds the messages.
Context compression ends the current session and forks a new child session
(linked via ``parent_session_id``). The flush cursor is reset, so the
child is where new messages actually land the parent ends up with
``message_count = 0`` rows unless messages had already been flushed to
it before compression. See #15000.
This helper walks ``parent_session_id`` forward from ``session_id`` and
returns the first descendant in the chain that has at least one message
row. If the original session already has messages, or no descendant
has any, the original ``session_id`` is returned unchanged.
The chain is always walked via the child whose ``started_at`` is
latest; that matches the single-chain shape that compression creates.
A depth cap (32) guards against accidental loops in malformed data.
"""
if not session_id:
return session_id
with self._lock:
# If this session already has messages, nothing to redirect.
try:
row = self._conn.execute(
"SELECT 1 FROM messages WHERE session_id = ? LIMIT 1",
(session_id,),
).fetchone()
except Exception:
return session_id
if row is not None:
return session_id
# Walk descendants: at each step, pick the most-recently-started
# child session; stop once we find one with messages.
current = session_id
seen = {current}
for _ in range(32):
try:
child_row = self._conn.execute(
"SELECT id FROM sessions "
"WHERE parent_session_id = ? "
"ORDER BY started_at DESC, id DESC LIMIT 1",
(current,),
).fetchone()
except Exception:
return session_id
if child_row is None:
return session_id
child_id = child_row["id"] if hasattr(child_row, "keys") else child_row[0]
if not child_id or child_id in seen:
return session_id
seen.add(child_id)
try:
msg_row = self._conn.execute(
"SELECT 1 FROM messages WHERE session_id = ? LIMIT 1",
(child_id,),
).fetchone()
except Exception:
return session_id
if msg_row is not None:
return child_id
current = child_id
return session_id
def get_messages_as_conversation(self, session_id: str) -> List[Dict[str, Any]]:
"""
Load messages in the OpenAI conversation format (role + content dicts).
-37
View File
@@ -343,18 +343,6 @@ def get_tool_definitions(
global _last_resolved_tool_names
_last_resolved_tool_names = [t["function"]["name"] for t in filtered_tools]
# Sanitize schemas for broad backend compatibility. llama.cpp's
# json-schema-to-grammar converter (used by its OAI server to build
# GBNF tool-call parsers) rejects some shapes that cloud providers
# silently accept — bare "type": "object" with no properties,
# string-valued schema nodes from malformed MCP servers, etc. This
# is a no-op for schemas that are already well-formed.
try:
from tools.schema_sanitizer import sanitize_tool_schemas
filtered_tools = sanitize_tool_schemas(filtered_tools)
except Exception as e: # pragma: no cover — defensive
logger.warning("Schema sanitization skipped: %s", e)
return filtered_tools
@@ -430,31 +418,6 @@ def _coerce_value(value: str, expected_type):
return _coerce_number(value, integer_only=(expected_type == "integer"))
if expected_type == "boolean":
return _coerce_boolean(value)
if expected_type == "array":
return _coerce_json(value, list)
if expected_type == "object":
return _coerce_json(value, dict)
return value
def _coerce_json(value: str, expected_python_type: type):
"""Parse *value* as JSON when the schema expects an array or object.
Handles model output drift where a complex oneOf/discriminated-union schema
causes the LLM to emit the array/object as a JSON string instead of a native
structure. Returns the original string if parsing fails or yields the wrong
Python type.
"""
try:
parsed = json.loads(value)
except (ValueError, TypeError):
return value
if isinstance(parsed, expected_python_type):
logger.debug(
"coerce_tool_args: coerced string to %s via json.loads",
expected_python_type.__name__,
)
return parsed
return value
-313
View File
@@ -1,313 +0,0 @@
"""xAI image generation backend.
Exposes xAI's ``grok-imagine-image`` model as an
:class:`ImageGenProvider` implementation.
Features:
- Text-to-image generation
- Multiple aspect ratios (1:1, 16:9, 9:16, etc.)
- Multiple resolutions (1K, 2K)
- Base64 output saved to cache
Selection precedence (first hit wins):
1. ``XAI_IMAGE_MODEL`` env var
2. ``image_gen.xai.model`` in ``config.yaml``
3. :data:`DEFAULT_MODEL`
"""
from __future__ import annotations
import logging
import os
from typing import Any, Dict, List, Optional, Tuple
import requests
from agent.image_gen_provider import (
DEFAULT_ASPECT_RATIO,
ImageGenProvider,
error_response,
resolve_aspect_ratio,
save_b64_image,
success_response,
)
from tools.xai_http import hermes_xai_user_agent
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Model catalog
# ---------------------------------------------------------------------------
API_MODEL = "grok-imagine-image"
_MODELS: Dict[str, Dict[str, Any]] = {
"grok-imagine-image": {
"display": "Grok Imagine Image",
"speed": "~5-10s",
"strengths": "Fast, high-quality",
},
}
DEFAULT_MODEL = "grok-imagine-image"
# xAI aspect ratios (more options than FAL/OpenAI)
_XAI_ASPECT_RATIOS = {
"landscape": "16:9",
"square": "1:1",
"portrait": "9:16",
"4:3": "4:3",
"3:4": "3:4",
"3:2": "3:2",
"2:3": "2:3",
}
# xAI resolutions
_XAI_RESOLUTIONS = {
"1k": "1024",
"2k": "2048",
}
DEFAULT_RESOLUTION = "1k"
# ---------------------------------------------------------------------------
# Config
# ---------------------------------------------------------------------------
def _load_xai_config() -> Dict[str, Any]:
"""Read ``image_gen.xai`` from config.yaml."""
try:
from hermes_cli.config import load_config
cfg = load_config()
section = cfg.get("image_gen") if isinstance(cfg, dict) else None
xai_section = section.get("xai") if isinstance(section, dict) else None
return xai_section if isinstance(xai_section, dict) else {}
except Exception as exc:
logger.debug("Could not load image_gen.xai config: %s", exc)
return {}
def _resolve_model() -> Tuple[str, Dict[str, Any]]:
"""Decide which model to use and return ``(model_id, meta)``."""
env_override = os.environ.get("XAI_IMAGE_MODEL")
if env_override and env_override in _MODELS:
return env_override, _MODELS[env_override]
cfg = _load_xai_config()
candidate = cfg.get("model") if isinstance(cfg.get("model"), str) else None
if candidate and candidate in _MODELS:
return candidate, _MODELS[candidate]
return DEFAULT_MODEL, _MODELS[DEFAULT_MODEL]
def _resolve_resolution() -> str:
"""Get configured resolution."""
cfg = _load_xai_config()
res = cfg.get("resolution") if isinstance(cfg.get("resolution"), str) else None
if res and res in _XAI_RESOLUTIONS:
return res
return DEFAULT_RESOLUTION
# ---------------------------------------------------------------------------
# Provider
# ---------------------------------------------------------------------------
class XAIImageGenProvider(ImageGenProvider):
"""xAI ``grok-imagine-image`` backend."""
@property
def name(self) -> str:
return "xai"
@property
def display_name(self) -> str:
return "xAI (Grok)"
def is_available(self) -> bool:
return bool(os.getenv("XAI_API_KEY"))
def list_models(self) -> List[Dict[str, Any]]:
return [
{
"id": model_id,
"display": meta.get("display", model_id),
"speed": meta.get("speed", ""),
"strengths": meta.get("strengths", ""),
}
for model_id, meta in _MODELS.items()
]
def get_setup_schema(self) -> Dict[str, Any]:
return {
"name": "xAI (Grok)",
"badge": "paid",
"tag": "Native xAI image generation via grok-imagine-image",
"env_vars": [
{
"key": "XAI_API_KEY",
"prompt": "xAI API key",
"url": "https://console.x.ai/",
},
],
}
def generate(
self,
prompt: str,
aspect_ratio: str = DEFAULT_ASPECT_RATIO,
**kwargs: Any,
) -> Dict[str, Any]:
"""Generate an image using xAI's grok-imagine-image."""
api_key = os.getenv("XAI_API_KEY", "").strip()
if not api_key:
return error_response(
error="XAI_API_KEY not set. Get one at https://console.x.ai/",
error_type="missing_api_key",
provider="xai",
aspect_ratio=aspect_ratio,
)
model_id, meta = _resolve_model()
aspect = resolve_aspect_ratio(aspect_ratio)
xai_ar = _XAI_ASPECT_RATIOS.get(aspect, "1:1")
resolution = _resolve_resolution()
xai_res = _XAI_RESOLUTIONS.get(resolution, "1024")
payload: Dict[str, Any] = {
"model": API_MODEL,
"prompt": prompt,
"aspect_ratio": xai_ar,
"resolution": xai_res,
}
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
"User-Agent": hermes_xai_user_agent(),
}
base_url = (os.getenv("XAI_BASE_URL") or "https://api.x.ai/v1").strip().rstrip("/")
try:
response = requests.post(
f"{base_url}/images/generations",
headers=headers,
json=payload,
timeout=120,
)
response.raise_for_status()
except requests.HTTPError as exc:
status = exc.response.status_code if exc.response else 0
try:
err_msg = exc.response.json().get("error", {}).get("message", exc.response.text[:300])
except Exception:
err_msg = exc.response.text[:300] if exc.response else str(exc)
logger.error("xAI image gen failed (%d): %s", status, err_msg)
return error_response(
error=f"xAI image generation failed ({status}): {err_msg}",
error_type="api_error",
provider="xai",
model=model_id,
prompt=prompt,
aspect_ratio=aspect,
)
except requests.Timeout:
return error_response(
error="xAI image generation timed out (120s)",
error_type="timeout",
provider="xai",
model=model_id,
prompt=prompt,
aspect_ratio=aspect,
)
except requests.ConnectionError as exc:
return error_response(
error=f"xAI connection error: {exc}",
error_type="connection_error",
provider="xai",
model=model_id,
prompt=prompt,
aspect_ratio=aspect,
)
try:
result = response.json()
except Exception as exc:
return error_response(
error=f"xAI returned invalid JSON: {exc}",
error_type="invalid_response",
provider="xai",
model=model_id,
prompt=prompt,
aspect_ratio=aspect,
)
# Parse response — xAI returns data[0].b64_json or data[0].url
data = result.get("data", [])
if not data:
return error_response(
error="xAI returned no image data",
error_type="empty_response",
provider="xai",
model=model_id,
prompt=prompt,
aspect_ratio=aspect,
)
first = data[0]
b64 = first.get("b64_json")
url = first.get("url")
if b64:
try:
saved_path = save_b64_image(b64, prefix=f"xai_{model_id}")
except Exception as exc:
return error_response(
error=f"Could not save image to cache: {exc}",
error_type="io_error",
provider="xai",
model=model_id,
prompt=prompt,
aspect_ratio=aspect,
)
image_ref = str(saved_path)
elif url:
image_ref = url
else:
return error_response(
error="xAI response contained neither b64_json nor URL",
error_type="empty_response",
provider="xai",
model=model_id,
prompt=prompt,
aspect_ratio=aspect,
)
extra: Dict[str, Any] = {
"resolution": xai_res,
}
return success_response(
image=image_ref,
model=model_id,
prompt=prompt,
aspect_ratio=aspect,
provider="xai",
extra=extra,
)
# ---------------------------------------------------------------------------
# Plugin registration
# ---------------------------------------------------------------------------
def register(ctx: Any) -> None:
"""Register this provider with the image gen registry."""
ctx.register_image_gen_provider(XAIImageGenProvider())
-7
View File
@@ -1,7 +0,0 @@
name: xai
version: 1.0.0
description: "xAI image generation backend (grok-imagine-image). Text-to-image."
author: Julien Talbot
kind: backend
requires_env:
- XAI_API_KEY
+1 -2
View File
@@ -59,8 +59,7 @@ Config file: `~/.hermes/hindsight/config.json`
| Key | Default | Description |
|-----|---------|-------------|
| `bank_id` | `hermes` | Memory bank name (static fallback used when `bank_id_template` is unset or resolves empty) |
| `bank_id_template` | — | Optional template to derive the bank name dynamically. Placeholders: `{profile}`, `{workspace}`, `{platform}`, `{user}`, `{session}`. Example: `hermes-{profile}` isolates memory per active Hermes profile. Empty placeholders collapse cleanly (e.g. `hermes-{user}` with no user becomes `hermes`). |
| `bank_id` | `hermes` | Memory bank name |
| `bank_mission` | — | Reflect mission (identity/framing for reflect reasoning). Applied via Banks API. |
| `bank_retain_mission` | — | Retain mission (steers what gets extracted). Applied via Banks API. |
+69 -286
View File
@@ -3,8 +3,6 @@
Long-term memory with knowledge graph, entity resolution, and multi-strategy
retrieval. Supports cloud (API key) and local modes.
Configurable timeout via HINDSIGHT_TIMEOUT env var or config.json.
Original PR #1811 by benfrank241, adapted to MemoryProvider ABC.
Config via environment variables:
@@ -13,7 +11,6 @@ Config via environment variables:
HINDSIGHT_BUDGET recall budget: low/mid/high (default: mid)
HINDSIGHT_API_URL API endpoint
HINDSIGHT_MODE cloud or local (default: cloud)
HINDSIGHT_TIMEOUT API request timeout in seconds (default: 120)
HINDSIGHT_RETAIN_TAGS comma-separated tags attached to retained memories
HINDSIGHT_RETAIN_SOURCE metadata source value attached to retained memories
HINDSIGHT_RETAIN_USER_PREFIX label used before user turns in retained transcripts
@@ -26,7 +23,6 @@ Or via $HERMES_HOME/hindsight/config.json (profile-scoped), falling back to
from __future__ import annotations
import asyncio
import importlib
import json
import logging
import os
@@ -44,7 +40,6 @@ logger = logging.getLogger(__name__)
_DEFAULT_API_URL = "https://api.hindsight.vectorize.io"
_DEFAULT_LOCAL_URL = "http://localhost:8888"
_MIN_CLIENT_VERSION = "0.4.22"
_DEFAULT_TIMEOUT = 120 # seconds — cloud API can take 30-40s per request
_VALID_BUDGETS = {"low", "mid", "high"}
_PROVIDER_DEFAULT_MODELS = {
"openai": "gpt-4o-mini",
@@ -59,22 +54,6 @@ _PROVIDER_DEFAULT_MODELS = {
}
def _check_local_runtime() -> tuple[bool, str | None]:
"""Return whether local embedded Hindsight imports cleanly.
On older CPUs, importing the local Hindsight stack can raise a runtime
error from NumPy before the daemon starts. Treat that as "unavailable"
so Hermes can degrade gracefully instead of repeatedly trying to start
a broken local memory backend.
"""
try:
importlib.import_module("hindsight")
importlib.import_module("hindsight_embed.daemon_embed_manager")
return True, None
except Exception as exc:
return False, str(exc)
# ---------------------------------------------------------------------------
# Dedicated event loop for Hindsight async calls (one per process, reused).
# Avoids creating ephemeral loops that leak aiohttp sessions.
@@ -102,18 +81,13 @@ def _get_loop() -> asyncio.AbstractEventLoop:
return _loop
def _run_sync(coro, timeout: float = _DEFAULT_TIMEOUT):
def _run_sync(coro, timeout: float = 120.0):
"""Schedule *coro* on the shared loop and block until done."""
loop = _get_loop()
future = asyncio.run_coroutine_threadsafe(coro, loop)
return future.result(timeout=timeout)
# ---------------------------------------------------------------------------
# Backward-compatible alias — instances use self._run_sync() instead.
# ---------------------------------------------------------------------------
# ---------------------------------------------------------------------------
# Tool schemas
# ---------------------------------------------------------------------------
@@ -259,126 +233,6 @@ def _utc_timestamp() -> str:
return datetime.now(timezone.utc).isoformat(timespec="milliseconds").replace("+00:00", "Z")
def _embedded_profile_name(config: dict[str, Any]) -> str:
"""Return the Hindsight embedded profile name for this Hermes config."""
profile = config.get("profile", "hermes")
return str(profile or "hermes")
def _load_simple_env(path) -> dict[str, str]:
"""Parse a simple KEY=VALUE env file, ignoring comments and blank lines."""
if not path.exists():
return {}
values: dict[str, str] = {}
for line in path.read_text(encoding="utf-8").splitlines():
if not line or line.startswith("#") or "=" not in line:
continue
key, value = line.split("=", 1)
values[key.strip()] = value.strip()
return values
def _build_embedded_profile_env(config: dict[str, Any], *, llm_api_key: str | None = None) -> dict[str, str]:
"""Build the profile-scoped env file that standalone hindsight-embed consumes."""
current_key = llm_api_key
if current_key is None:
current_key = (
config.get("llmApiKey")
or config.get("llm_api_key")
or os.environ.get("HINDSIGHT_LLM_API_KEY", "")
)
current_provider = config.get("llm_provider", "")
current_model = config.get("llm_model", "")
current_base_url = config.get("llm_base_url") or os.environ.get("HINDSIGHT_API_LLM_BASE_URL", "")
# The embedded daemon expects OpenAI wire format for these providers.
daemon_provider = "openai" if current_provider in ("openai_compatible", "openrouter") else current_provider
env_values = {
"HINDSIGHT_API_LLM_PROVIDER": str(daemon_provider),
"HINDSIGHT_API_LLM_API_KEY": str(current_key or ""),
"HINDSIGHT_API_LLM_MODEL": str(current_model),
"HINDSIGHT_API_LOG_LEVEL": "info",
}
if current_base_url:
env_values["HINDSIGHT_API_LLM_BASE_URL"] = str(current_base_url)
return env_values
def _embedded_profile_env_path(config: dict[str, Any]):
from pathlib import Path
return Path.home() / ".hindsight" / "profiles" / f"{_embedded_profile_name(config)}.env"
def _materialize_embedded_profile_env(config: dict[str, Any], *, llm_api_key: str | None = None):
"""Write the profile-scoped env file that standalone hindsight-embed uses."""
profile_env = _embedded_profile_env_path(config)
profile_env.parent.mkdir(parents=True, exist_ok=True)
env_values = _build_embedded_profile_env(config, llm_api_key=llm_api_key)
profile_env.write_text(
"".join(f"{key}={value}\n" for key, value in env_values.items()),
encoding="utf-8",
)
return profile_env
def _sanitize_bank_segment(value: str) -> str:
"""Sanitize a bank_id_template placeholder value.
Bank IDs should be safe for URL paths and filesystem use. Replaces any
character that isn't alphanumeric, dash, or underscore with a dash, and
collapses runs of dashes.
"""
if not value:
return ""
out = []
prev_dash = False
for ch in str(value):
if ch.isalnum() or ch == "-" or ch == "_":
out.append(ch)
prev_dash = False
else:
if not prev_dash:
out.append("-")
prev_dash = True
return "".join(out).strip("-_")
def _resolve_bank_id_template(template: str, fallback: str, **placeholders: str) -> str:
"""Resolve a bank_id template string with the given placeholders.
Supported placeholders (each is sanitized before substitution):
{profile} active Hermes profile name (from agent_identity)
{workspace} Hermes workspace name (from agent_workspace)
{platform} "cli", "telegram", "discord", etc.
{user} platform user id (gateway sessions)
{session} current session id
Missing/empty placeholders are rendered as the empty string and then
collapsed e.g. ``hermes-{user}`` with no user becomes ``hermes``.
If the template is empty, resolution falls back to *fallback*.
Returns the sanitized bank id.
"""
if not template:
return fallback
sanitized = {k: _sanitize_bank_segment(v) for k, v in placeholders.items()}
try:
rendered = template.format(**sanitized)
except (KeyError, IndexError) as exc:
logger.warning("Invalid bank_id_template %r: %s — using fallback %r",
template, exc, fallback)
return fallback
while "--" in rendered:
rendered = rendered.replace("--", "-")
while "__" in rendered:
rendered = rendered.replace("__", "_")
rendered = rendered.strip("-_")
return rendered or fallback
# ---------------------------------------------------------------------------
# MemoryProvider implementation
# ---------------------------------------------------------------------------
@@ -408,17 +262,13 @@ class HindsightMemoryProvider(MemoryProvider):
self._chat_type = ""
self._thread_id = ""
self._agent_identity = ""
self._agent_workspace = ""
self._turn_index = 0
self._client = None
self._timeout = _DEFAULT_TIMEOUT
self._prefetch_result = ""
self._prefetch_lock = threading.Lock()
self._prefetch_thread = None
self._sync_thread = None
self._session_id = ""
self._parent_session_id = ""
self._document_id = ""
# Tags
self._tags: list[str] | None = None
@@ -443,7 +293,6 @@ class HindsightMemoryProvider(MemoryProvider):
# Bank
self._bank_mission = ""
self._bank_retain_mission: str | None = None
self._bank_id_template = ""
@property
def name(self) -> str:
@@ -453,16 +302,9 @@ class HindsightMemoryProvider(MemoryProvider):
try:
cfg = _load_config()
mode = cfg.get("mode", "cloud")
if mode in ("local", "local_embedded"):
available, _ = _check_local_runtime()
return available
if mode == "local_external":
if mode in ("local", "local_embedded", "local_external"):
return True
has_key = bool(
cfg.get("apiKey")
or cfg.get("api_key")
or os.environ.get("HINDSIGHT_API_KEY", "")
)
has_key = bool(cfg.get("apiKey") or os.environ.get("HINDSIGHT_API_KEY", ""))
has_url = bool(cfg.get("api_url") or os.environ.get("HINDSIGHT_API_URL", ""))
return has_key or has_url
except Exception:
@@ -521,7 +363,7 @@ class HindsightMemoryProvider(MemoryProvider):
else:
deps_to_install = [cloud_dep]
print("\n Checking dependencies...")
print(f"\n Checking dependencies...")
uv_path = shutil.which("uv")
if not uv_path:
print(" ⚠ uv not found — install it: curl -LsSf https://astral.sh/uv/install.sh | sh")
@@ -532,14 +374,14 @@ class HindsightMemoryProvider(MemoryProvider):
[uv_path, "pip", "install", "--python", sys.executable, "--quiet", "--upgrade"] + deps_to_install,
check=True, timeout=120, capture_output=True,
)
print(" ✓ Dependencies up to date")
print(f" ✓ Dependencies up to date")
except Exception as e:
print(f" ⚠ Install failed: {e}")
print(f" Run manually: uv pip install --python {sys.executable} {' '.join(deps_to_install)}")
# Step 3: Mode-specific config
if mode == "cloud":
print("\n Get your API key at https://ui.hindsight.vectorize.io\n")
print(f"\n Get your API key at https://ui.hindsight.vectorize.io\n")
existing_key = os.environ.get("HINDSIGHT_API_KEY", "")
if existing_key:
masked = f"...{existing_key[-4:]}" if len(existing_key) > 4 else "set"
@@ -592,19 +434,13 @@ class HindsightMemoryProvider(MemoryProvider):
sys.stdout.write(" LLM API key: ")
sys.stdout.flush()
llm_key = getpass.getpass(prompt="") if sys.stdin.isatty() else sys.stdin.readline().strip()
# Always write explicitly (including empty) so the provider sees ""
# rather than a missing variable. The daemon reads from .env at
# startup and fails when HINDSIGHT_LLM_API_KEY is unset.
env_writes["HINDSIGHT_LLM_API_KEY"] = llm_key
if llm_key:
env_writes["HINDSIGHT_LLM_API_KEY"] = llm_key
# Step 4: Save everything
provider_config["bank_id"] = "hermes"
provider_config["recall_budget"] = "mid"
# Read existing timeout from config if present, otherwise use default
existing_timeout = self._config.get("timeout") if self._config else None
timeout_val = existing_timeout if existing_timeout else _DEFAULT_TIMEOUT
provider_config["timeout"] = timeout_val
env_writes["HINDSIGHT_TIMEOUT"] = str(timeout_val)
bank_id = "hermes"
config["memory"]["provider"] = "hindsight"
save_config(config)
@@ -630,32 +466,10 @@ class HindsightMemoryProvider(MemoryProvider):
new_lines.append(f"{k}={v}")
env_path.write_text("\n".join(new_lines) + "\n")
if mode == "local_embedded":
materialized_config = dict(provider_config)
config_path = Path(hermes_home) / "hindsight" / "config.json"
try:
materialized_config = json.loads(config_path.read_text(encoding="utf-8"))
except Exception:
pass
llm_api_key = env_writes.get("HINDSIGHT_LLM_API_KEY", "")
if not llm_api_key:
llm_api_key = _load_simple_env(Path(hermes_home) / ".env").get("HINDSIGHT_LLM_API_KEY", "")
if not llm_api_key:
llm_api_key = _load_simple_env(_embedded_profile_env_path(materialized_config)).get(
"HINDSIGHT_API_LLM_API_KEY",
"",
)
_materialize_embedded_profile_env(
materialized_config,
llm_api_key=llm_api_key or None,
)
print(f"\n ✓ Hindsight memory configured ({mode} mode)")
if env_writes:
print(" API keys saved to .env")
print("\n Start a new session to activate.\n")
print(f" API keys saved to .env")
print(f"\n Start a new session to activate.\n")
def get_config_schema(self):
return [
@@ -671,8 +485,7 @@ class HindsightMemoryProvider(MemoryProvider):
{"key": "llm_base_url", "description": "Endpoint URL (e.g. http://192.168.1.10:8080/v1)", "default": "", "when": {"mode": "local_embedded", "llm_provider": "openai_compatible"}},
{"key": "llm_api_key", "description": "LLM API key (optional for openai_compatible)", "secret": True, "env_var": "HINDSIGHT_LLM_API_KEY", "when": {"mode": "local_embedded"}},
{"key": "llm_model", "description": "LLM model", "default": "gpt-4o-mini", "default_from": {"field": "llm_provider", "map": _PROVIDER_DEFAULT_MODELS}, "when": {"mode": "local_embedded"}},
{"key": "bank_id", "description": "Memory bank name (static fallback when bank_id_template is unset)", "default": "hermes"},
{"key": "bank_id_template", "description": "Optional template to derive bank_id dynamically. Placeholders: {profile}, {workspace}, {platform}, {user}, {session}. Example: hermes-{profile}", "default": ""},
{"key": "bank_id", "description": "Memory bank name", "default": "hermes"},
{"key": "bank_mission", "description": "Mission/purpose description for the memory bank"},
{"key": "bank_retain_mission", "description": "Custom extraction prompt for memory retention"},
{"key": "recall_budget", "description": "Recall thoroughness", "default": "mid", "choices": ["low", "mid", "high"]},
@@ -692,19 +505,12 @@ class HindsightMemoryProvider(MemoryProvider):
{"key": "recall_max_tokens", "description": "Maximum tokens for recall results", "default": 4096},
{"key": "recall_max_input_chars", "description": "Maximum input query length for auto-recall", "default": 800},
{"key": "recall_prompt_preamble", "description": "Custom preamble for recalled memories in context"},
{"key": "timeout", "description": "API request timeout in seconds", "default": _DEFAULT_TIMEOUT},
]
def _get_client(self):
"""Return the cached Hindsight client (created once, reused)."""
if self._client is None:
if self._mode == "local_embedded":
available, reason = _check_local_runtime()
if not available:
raise RuntimeError(
"Hindsight local runtime is unavailable"
+ (f": {reason}" if reason else "")
)
from hindsight import HindsightEmbedded
HindsightEmbedded.__del__ = lambda self: None
llm_provider = self._config.get("llm_provider", "")
@@ -723,30 +529,16 @@ class HindsightMemoryProvider(MemoryProvider):
self._client = HindsightEmbedded(**kwargs)
else:
from hindsight_client import Hindsight
timeout = self._timeout or _DEFAULT_TIMEOUT
kwargs = {"base_url": self._api_url, "timeout": float(timeout)}
kwargs = {"base_url": self._api_url, "timeout": 30.0}
if self._api_key:
kwargs["api_key"] = self._api_key
logger.debug("Creating Hindsight cloud client (url=%s, has_key=%s, timeout=%s)",
self._api_url, bool(self._api_key), kwargs["timeout"])
logger.debug("Creating Hindsight cloud client (url=%s, has_key=%s)",
self._api_url, bool(self._api_key))
self._client = Hindsight(**kwargs)
return self._client
def _run_sync(self, coro):
"""Schedule *coro* on the shared loop using the configured timeout."""
return _run_sync(coro, timeout=self._timeout)
def initialize(self, session_id: str, **kwargs) -> None:
self._session_id = str(session_id or "").strip()
self._parent_session_id = str(kwargs.get("parent_session_id", "") or "").strip()
# Each process lifecycle gets its own document_id. Reusing session_id
# alone caused overwrites on /resume — the reloaded session starts
# with an empty _session_turns, so the next retain would replace the
# previously stored content. session_id stays in tags so processes
# for the same session remain filterable together.
start_ts = datetime.now().strftime("%Y%m%d_%H%M%S_%f")
self._document_id = f"{self._session_id}-{start_ts}"
# Check client version and auto-upgrade if needed
try:
@@ -756,9 +548,7 @@ class HindsightMemoryProvider(MemoryProvider):
if Version(installed) < Version(_MIN_CLIENT_VERSION):
logger.warning("hindsight-client %s is outdated (need >=%s), attempting upgrade...",
installed, _MIN_CLIENT_VERSION)
import shutil
import subprocess
import sys
import shutil, subprocess, sys
uv_path = shutil.which("uv")
if uv_path:
try:
@@ -785,41 +575,19 @@ class HindsightMemoryProvider(MemoryProvider):
self._chat_type = str(kwargs.get("chat_type") or "").strip()
self._thread_id = str(kwargs.get("thread_id") or "").strip()
self._agent_identity = str(kwargs.get("agent_identity") or "").strip()
self._agent_workspace = str(kwargs.get("agent_workspace") or "").strip()
self._turn_index = 0
self._session_turns = []
self._mode = self._config.get("mode", "cloud")
# Read timeout from config or env var, fall back to default
self._timeout = self._config.get("timeout") or int(os.environ.get("HINDSIGHT_TIMEOUT", str(_DEFAULT_TIMEOUT)))
# "local" is a legacy alias for "local_embedded"
if self._mode == "local":
self._mode = "local_embedded"
if self._mode == "local_embedded":
available, reason = _check_local_runtime()
if not available:
logger.warning(
"Hindsight local mode disabled because its runtime could not be imported: %s",
reason,
)
self._mode = "disabled"
return
self._api_key = self._config.get("apiKey") or self._config.get("api_key") or os.environ.get("HINDSIGHT_API_KEY", "")
default_url = _DEFAULT_LOCAL_URL if self._mode in ("local_embedded", "local_external") else _DEFAULT_API_URL
self._api_url = self._config.get("api_url") or os.environ.get("HINDSIGHT_API_URL", default_url)
self._llm_base_url = self._config.get("llm_base_url", "")
banks = self._config.get("banks", {}).get("hermes", {})
static_bank_id = self._config.get("bank_id") or banks.get("bankId", "hermes")
self._bank_id_template = self._config.get("bank_id_template", "") or ""
self._bank_id = _resolve_bank_id_template(
self._bank_id_template,
fallback=static_bank_id,
profile=self._agent_identity,
workspace=self._agent_workspace,
platform=self._platform,
user=self._user_id,
session=self._session_id,
)
self._bank_id = self._config.get("bank_id") or banks.get("bankId", "hermes")
budget = self._config.get("recall_budget") or self._config.get("budget") or banks.get("budget", "mid")
self._budget = budget if budget in _VALID_BUDGETS else "mid"
@@ -872,10 +640,6 @@ class HindsightMemoryProvider(MemoryProvider):
pass
logger.info("Hindsight initialized: mode=%s, api_url=%s, bank=%s, budget=%s, memory_mode=%s, prefetch_method=%s, client=%s",
self._mode, self._api_url, self._bank_id, self._budget, self._memory_mode, self._prefetch_method, _client_version)
if self._bank_id_template:
logger.debug("Hindsight bank resolved from template %r: profile=%s workspace=%s platform=%s user=%s -> bank=%s",
self._bank_id_template, self._agent_identity, self._agent_workspace,
self._platform, self._user_id, self._bank_id)
logger.debug("Hindsight config: auto_retain=%s, auto_recall=%s, retain_every_n=%d, "
"retain_async=%s, retain_context=%s, recall_max_tokens=%d, recall_max_input_chars=%d, tags=%s, recall_tags=%s",
self._auto_retain, self._auto_recall, self._retain_every_n_turns,
@@ -905,13 +669,42 @@ class HindsightMemoryProvider(MemoryProvider):
# Update the profile .env to match our current config so
# the daemon always starts with the right settings.
# If the config changed and the daemon is running, stop it.
profile_env = _embedded_profile_env_path(self._config)
expected_env = _build_embedded_profile_env(self._config)
saved = _load_simple_env(profile_env)
config_changed = saved != expected_env
from pathlib import Path as _Path
profile_env = _Path.home() / ".hindsight" / "profiles" / f"{profile}.env"
current_key = self._config.get("llm_api_key") or os.environ.get("HINDSIGHT_LLM_API_KEY", "")
current_provider = self._config.get("llm_provider", "")
current_model = self._config.get("llm_model", "")
current_base_url = self._config.get("llm_base_url") or os.environ.get("HINDSIGHT_API_LLM_BASE_URL", "")
# Map openai_compatible/openrouter → openai for the daemon (OpenAI wire format)
daemon_provider = "openai" if current_provider in ("openai_compatible", "openrouter") else current_provider
# Read saved profile config
saved = {}
if profile_env.exists():
for line in profile_env.read_text().splitlines():
if "=" in line and not line.startswith("#"):
k, v = line.split("=", 1)
saved[k.strip()] = v.strip()
config_changed = (
saved.get("HINDSIGHT_API_LLM_PROVIDER") != daemon_provider or
saved.get("HINDSIGHT_API_LLM_MODEL") != current_model or
saved.get("HINDSIGHT_API_LLM_API_KEY") != current_key or
saved.get("HINDSIGHT_API_LLM_BASE_URL", "") != current_base_url
)
if config_changed:
profile_env = _materialize_embedded_profile_env(self._config)
# Write updated profile .env
profile_env.parent.mkdir(parents=True, exist_ok=True)
env_lines = (
f"HINDSIGHT_API_LLM_PROVIDER={daemon_provider}\n"
f"HINDSIGHT_API_LLM_API_KEY={current_key}\n"
f"HINDSIGHT_API_LLM_MODEL={current_model}\n"
f"HINDSIGHT_API_LOG_LEVEL=info\n"
)
if current_base_url:
env_lines += f"HINDSIGHT_API_LLM_BASE_URL={current_base_url}\n"
profile_env.write_text(env_lines)
if client._manager.is_running(profile):
with open(log_path, "a") as f:
f.write("\n=== Config changed, restarting daemon ===\n")
@@ -984,7 +777,7 @@ class HindsightMemoryProvider(MemoryProvider):
client = self._get_client()
if self._prefetch_method == "reflect":
logger.debug("Prefetch: calling reflect (bank=%s, query_len=%d)", self._bank_id, len(query))
resp = self._run_sync(client.areflect(bank_id=self._bank_id, query=query, budget=self._budget))
resp = _run_sync(client.areflect(bank_id=self._bank_id, query=query, budget=self._budget))
text = resp.text or ""
else:
recall_kwargs: dict = {
@@ -998,7 +791,7 @@ class HindsightMemoryProvider(MemoryProvider):
recall_kwargs["types"] = self._recall_types
logger.debug("Prefetch: calling recall (bank=%s, query_len=%d, budget=%s)",
self._bank_id, len(query), self._budget)
resp = self._run_sync(client.arecall(**recall_kwargs))
resp = _run_sync(client.arecall(**recall_kwargs))
num_results = len(resp.results) if resp.results else 0
logger.debug("Prefetch: recall returned %d results", num_results)
text = "\n".join(f"- {r.text}" for r in resp.results if r.text) if resp.results else ""
@@ -1095,7 +888,7 @@ class HindsightMemoryProvider(MemoryProvider):
if session_id:
self._session_id = str(session_id).strip()
turn = json.dumps(self._build_turn_messages(user_content, assistant_content), ensure_ascii=False)
turn = json.dumps(self._build_turn_messages(user_content, assistant_content))
self._session_turns.append(turn)
self._turn_counter += 1
self._turn_index = self._turn_counter
@@ -1109,12 +902,6 @@ class HindsightMemoryProvider(MemoryProvider):
len(self._session_turns), sum(len(t) for t in self._session_turns))
content = "[" + ",".join(self._session_turns) + "]"
lineage_tags: list[str] = []
if self._session_id:
lineage_tags.append(f"session:{self._session_id}")
if self._parent_session_id:
lineage_tags.append(f"parent:{self._parent_session_id}")
def _sync():
try:
client = self._get_client()
@@ -1125,16 +912,15 @@ class HindsightMemoryProvider(MemoryProvider):
message_count=len(self._session_turns) * 2,
turn_index=self._turn_index,
),
tags=lineage_tags or None,
)
item.pop("bank_id", None)
item.pop("retain_async", None)
logger.debug("Hindsight retain: bank=%s, doc=%s, async=%s, content_len=%d, num_turns=%d",
self._bank_id, self._document_id, self._retain_async, len(content), len(self._session_turns))
self._run_sync(client.aretain_batch(
self._bank_id, self._session_id, self._retain_async, len(content), len(self._session_turns))
_run_sync(client.aretain_batch(
bank_id=self._bank_id,
items=[item],
document_id=self._document_id,
document_id=self._session_id,
retain_async=self._retain_async,
))
logger.debug("Hindsight retain succeeded")
@@ -1171,7 +957,7 @@ class HindsightMemoryProvider(MemoryProvider):
)
logger.debug("Tool hindsight_retain: bank=%s, content_len=%d, context=%s",
self._bank_id, len(content), context)
self._run_sync(client.aretain(**retain_kwargs))
_run_sync(client.aretain(**retain_kwargs))
logger.debug("Tool hindsight_retain: success")
return json.dumps({"result": "Memory stored successfully."})
except Exception as e:
@@ -1194,7 +980,7 @@ class HindsightMemoryProvider(MemoryProvider):
recall_kwargs["types"] = self._recall_types
logger.debug("Tool hindsight_recall: bank=%s, query_len=%d, budget=%s",
self._bank_id, len(query), self._budget)
resp = self._run_sync(client.arecall(**recall_kwargs))
resp = _run_sync(client.arecall(**recall_kwargs))
num_results = len(resp.results) if resp.results else 0
logger.debug("Tool hindsight_recall: %d results", num_results)
if not resp.results:
@@ -1212,7 +998,7 @@ class HindsightMemoryProvider(MemoryProvider):
try:
logger.debug("Tool hindsight_reflect: bank=%s, query_len=%d, budget=%s",
self._bank_id, len(query), self._budget)
resp = self._run_sync(client.areflect(
resp = _run_sync(client.areflect(
bank_id=self._bank_id, query=query, budget=self._budget
))
logger.debug("Tool hindsight_reflect: response_len=%d", len(resp.text or ""))
@@ -1225,6 +1011,7 @@ class HindsightMemoryProvider(MemoryProvider):
def shutdown(self) -> None:
logger.debug("Hindsight shutdown: waiting for background threads")
global _loop, _loop_thread
for t in (self._prefetch_thread, self._sync_thread):
if t and t.is_alive():
t.join(timeout=5.0)
@@ -1239,21 +1026,17 @@ class HindsightMemoryProvider(MemoryProvider):
except RuntimeError:
pass
else:
self._run_sync(self._client.aclose())
_run_sync(self._client.aclose())
except Exception:
pass
self._client = None
# The module-global background event loop (_loop / _loop_thread)
# is intentionally NOT stopped here. It is shared across every
# HindsightMemoryProvider instance in the process — the plugin
# loader creates a new provider per AIAgent, and the gateway
# creates one AIAgent per concurrent chat session. Stopping the
# loop from one provider's shutdown() strands the aiohttp
# ClientSession + TCPConnector owned by every sibling provider
# on a dead loop, which surfaces as the "Unclosed client session"
# / "Unclosed connector" warnings reported in #11923. The loop
# runs on a daemon thread and is reclaimed on process exit;
# per-session cleanup happens via self._client.aclose() above.
# Stop the background event loop so no tasks are pending at exit
if _loop is not None and _loop.is_running():
_loop.call_soon_threadsafe(_loop.stop)
if _loop_thread is not None:
_loop_thread.join(timeout=5.0)
_loop = None
_loop_thread = None
def register(ctx) -> None:
-66
View File
@@ -1,66 +0,0 @@
"""Spotify integration plugin — bundled, auto-loaded.
Registers 7 tools (playback, devices, queue, search, playlists, albums,
library) into the ``spotify`` toolset. Each tool's handler is gated by
``_check_spotify_available()`` when the user has not run ``hermes auth
spotify``, the tools remain registered (so they appear in ``hermes
tools``) but the runtime check prevents dispatch.
Why a plugin instead of a top-level ``tools/`` file?
- ``plugins/`` is where third-party service integrations live (see
``plugins/image_gen/`` for the backend-provider pattern, ``plugins/
disk-cleanup/`` for the standalone pattern). ``tools/`` is reserved
for foundational capabilities (terminal, read_file, web_search, etc.).
- Mirroring the image_gen plugin layout (``plugins/<category>/<backend>/``
for categories, flat ``plugins/<name>/`` for standalones) makes new
service integrations a pattern contributors can copy.
- Bundled + ``kind: backend`` auto-loads on startup just like image_gen
backends no user opt-in needed, no ``plugins.enabled`` config.
The Spotify auth flow (``hermes auth spotify``), CLI plumbing, and docs
are unchanged. This move is purely structural.
"""
from __future__ import annotations
from plugins.spotify.tools import (
SPOTIFY_ALBUMS_SCHEMA,
SPOTIFY_DEVICES_SCHEMA,
SPOTIFY_LIBRARY_SCHEMA,
SPOTIFY_PLAYBACK_SCHEMA,
SPOTIFY_PLAYLISTS_SCHEMA,
SPOTIFY_QUEUE_SCHEMA,
SPOTIFY_SEARCH_SCHEMA,
_check_spotify_available,
_handle_spotify_albums,
_handle_spotify_devices,
_handle_spotify_library,
_handle_spotify_playback,
_handle_spotify_playlists,
_handle_spotify_queue,
_handle_spotify_search,
)
_TOOLS = (
("spotify_playback", SPOTIFY_PLAYBACK_SCHEMA, _handle_spotify_playback, "🎵"),
("spotify_devices", SPOTIFY_DEVICES_SCHEMA, _handle_spotify_devices, "🔈"),
("spotify_queue", SPOTIFY_QUEUE_SCHEMA, _handle_spotify_queue, "📻"),
("spotify_search", SPOTIFY_SEARCH_SCHEMA, _handle_spotify_search, "🔎"),
("spotify_playlists", SPOTIFY_PLAYLISTS_SCHEMA, _handle_spotify_playlists, "📚"),
("spotify_albums", SPOTIFY_ALBUMS_SCHEMA, _handle_spotify_albums, "💿"),
("spotify_library", SPOTIFY_LIBRARY_SCHEMA, _handle_spotify_library, "❤️"),
)
def register(ctx) -> None:
"""Register all Spotify tools. Called once by the plugin loader."""
for name, schema, handler, emoji in _TOOLS:
ctx.register_tool(
name=name,
toolset="spotify",
schema=schema,
handler=handler,
check_fn=_check_spotify_available,
emoji=emoji,
)
-435
View File
@@ -1,435 +0,0 @@
"""Thin Spotify Web API helper used by Hermes native tools."""
from __future__ import annotations
import json
from typing import Any, Dict, Iterable, Optional
from urllib.parse import urlparse
import httpx
from hermes_cli.auth import (
AuthError,
resolve_spotify_runtime_credentials,
)
class SpotifyError(RuntimeError):
"""Base Spotify tool error."""
class SpotifyAuthRequiredError(SpotifyError):
"""Raised when the user needs to authenticate with Spotify first."""
class SpotifyAPIError(SpotifyError):
"""Structured Spotify API failure."""
def __init__(
self,
message: str,
*,
status_code: Optional[int] = None,
response_body: Optional[str] = None,
) -> None:
super().__init__(message)
self.status_code = status_code
self.response_body = response_body
self.path = None
class SpotifyClient:
def __init__(self) -> None:
self._runtime = self._resolve_runtime(refresh_if_expiring=True)
def _resolve_runtime(self, *, force_refresh: bool = False, refresh_if_expiring: bool = True) -> Dict[str, Any]:
try:
return resolve_spotify_runtime_credentials(
force_refresh=force_refresh,
refresh_if_expiring=refresh_if_expiring,
)
except AuthError as exc:
raise SpotifyAuthRequiredError(str(exc)) from exc
@property
def base_url(self) -> str:
return str(self._runtime.get("base_url") or "").rstrip("/")
def _headers(self) -> Dict[str, str]:
return {
"Authorization": f"Bearer {self._runtime['access_token']}",
"Content-Type": "application/json",
}
def request(
self,
method: str,
path: str,
*,
params: Optional[Dict[str, Any]] = None,
json_body: Optional[Dict[str, Any]] = None,
allow_retry_on_401: bool = True,
empty_response: Optional[Dict[str, Any]] = None,
) -> Any:
url = f"{self.base_url}{path}"
response = httpx.request(
method,
url,
headers=self._headers(),
params=_strip_none(params),
json=_strip_none(json_body) if json_body is not None else None,
timeout=30.0,
)
if response.status_code == 401 and allow_retry_on_401:
self._runtime = self._resolve_runtime(force_refresh=True, refresh_if_expiring=True)
return self.request(
method,
path,
params=params,
json_body=json_body,
allow_retry_on_401=False,
)
if response.status_code >= 400:
self._raise_api_error(response, method=method, path=path)
if response.status_code == 204 or not response.content:
return empty_response or {"success": True, "status_code": response.status_code, "empty": True}
if "application/json" in response.headers.get("content-type", ""):
return response.json()
return {"success": True, "text": response.text}
def _raise_api_error(self, response: httpx.Response, *, method: str, path: str) -> None:
detail = response.text.strip()
message = _friendly_spotify_error_message(
status_code=response.status_code,
detail=_extract_spotify_error_detail(response, fallback=detail),
method=method,
path=path,
retry_after=response.headers.get("Retry-After"),
)
error = SpotifyAPIError(message, status_code=response.status_code, response_body=detail)
error.path = path
raise error
def get_devices(self) -> Any:
return self.request("GET", "/me/player/devices")
def transfer_playback(self, *, device_id: str, play: bool = False) -> Any:
return self.request("PUT", "/me/player", json_body={
"device_ids": [device_id],
"play": play,
})
def get_playback_state(self, *, market: Optional[str] = None) -> Any:
return self.request(
"GET",
"/me/player",
params={"market": market},
empty_response={
"status_code": 204,
"empty": True,
"message": "No active Spotify playback session was found. Open Spotify on a device and start playback, or transfer playback to an available device.",
},
)
def get_currently_playing(self, *, market: Optional[str] = None) -> Any:
return self.request(
"GET",
"/me/player/currently-playing",
params={"market": market},
empty_response={
"status_code": 204,
"empty": True,
"message": "Spotify is not currently playing anything. Start playback in Spotify and try again.",
},
)
def start_playback(
self,
*,
device_id: Optional[str] = None,
context_uri: Optional[str] = None,
uris: Optional[list[str]] = None,
offset: Optional[Dict[str, Any]] = None,
position_ms: Optional[int] = None,
) -> Any:
return self.request(
"PUT",
"/me/player/play",
params={"device_id": device_id},
json_body={
"context_uri": context_uri,
"uris": uris,
"offset": offset,
"position_ms": position_ms,
},
)
def pause_playback(self, *, device_id: Optional[str] = None) -> Any:
return self.request("PUT", "/me/player/pause", params={"device_id": device_id})
def skip_next(self, *, device_id: Optional[str] = None) -> Any:
return self.request("POST", "/me/player/next", params={"device_id": device_id})
def skip_previous(self, *, device_id: Optional[str] = None) -> Any:
return self.request("POST", "/me/player/previous", params={"device_id": device_id})
def seek(self, *, position_ms: int, device_id: Optional[str] = None) -> Any:
return self.request("PUT", "/me/player/seek", params={
"position_ms": position_ms,
"device_id": device_id,
})
def set_repeat(self, *, state: str, device_id: Optional[str] = None) -> Any:
return self.request("PUT", "/me/player/repeat", params={"state": state, "device_id": device_id})
def set_shuffle(self, *, state: bool, device_id: Optional[str] = None) -> Any:
return self.request("PUT", "/me/player/shuffle", params={"state": str(bool(state)).lower(), "device_id": device_id})
def set_volume(self, *, volume_percent: int, device_id: Optional[str] = None) -> Any:
return self.request("PUT", "/me/player/volume", params={
"volume_percent": volume_percent,
"device_id": device_id,
})
def get_queue(self) -> Any:
return self.request("GET", "/me/player/queue")
def add_to_queue(self, *, uri: str, device_id: Optional[str] = None) -> Any:
return self.request("POST", "/me/player/queue", params={"uri": uri, "device_id": device_id})
def search(
self,
*,
query: str,
search_types: list[str],
limit: int = 10,
offset: int = 0,
market: Optional[str] = None,
include_external: Optional[str] = None,
) -> Any:
return self.request("GET", "/search", params={
"q": query,
"type": ",".join(search_types),
"limit": limit,
"offset": offset,
"market": market,
"include_external": include_external,
})
def get_my_playlists(self, *, limit: int = 20, offset: int = 0) -> Any:
return self.request("GET", "/me/playlists", params={"limit": limit, "offset": offset})
def get_playlist(self, *, playlist_id: str, market: Optional[str] = None) -> Any:
return self.request("GET", f"/playlists/{playlist_id}", params={"market": market})
def create_playlist(
self,
*,
name: str,
public: bool = False,
collaborative: bool = False,
description: Optional[str] = None,
) -> Any:
return self.request("POST", "/me/playlists", json_body={
"name": name,
"public": public,
"collaborative": collaborative,
"description": description,
})
def add_playlist_items(
self,
*,
playlist_id: str,
uris: list[str],
position: Optional[int] = None,
) -> Any:
return self.request("POST", f"/playlists/{playlist_id}/items", json_body={
"uris": uris,
"position": position,
})
def remove_playlist_items(
self,
*,
playlist_id: str,
uris: list[str],
snapshot_id: Optional[str] = None,
) -> Any:
return self.request("DELETE", f"/playlists/{playlist_id}/items", json_body={
"items": [{"uri": uri} for uri in uris],
"snapshot_id": snapshot_id,
})
def update_playlist_details(
self,
*,
playlist_id: str,
name: Optional[str] = None,
public: Optional[bool] = None,
collaborative: Optional[bool] = None,
description: Optional[str] = None,
) -> Any:
return self.request("PUT", f"/playlists/{playlist_id}", json_body={
"name": name,
"public": public,
"collaborative": collaborative,
"description": description,
})
def get_album(self, *, album_id: str, market: Optional[str] = None) -> Any:
return self.request("GET", f"/albums/{album_id}", params={"market": market})
def get_album_tracks(self, *, album_id: str, limit: int = 20, offset: int = 0, market: Optional[str] = None) -> Any:
return self.request("GET", f"/albums/{album_id}/tracks", params={
"limit": limit,
"offset": offset,
"market": market,
})
def get_saved_tracks(self, *, limit: int = 20, offset: int = 0, market: Optional[str] = None) -> Any:
return self.request("GET", "/me/tracks", params={"limit": limit, "offset": offset, "market": market})
def save_library_items(self, *, uris: list[str]) -> Any:
return self.request("PUT", "/me/library", params={"uris": ",".join(uris)})
def library_contains(self, *, uris: list[str]) -> Any:
return self.request("GET", "/me/library/contains", params={"uris": ",".join(uris)})
def get_saved_albums(self, *, limit: int = 20, offset: int = 0, market: Optional[str] = None) -> Any:
return self.request("GET", "/me/albums", params={"limit": limit, "offset": offset, "market": market})
def remove_saved_tracks(self, *, track_ids: list[str]) -> Any:
uris = [f"spotify:track:{track_id}" for track_id in track_ids]
return self.request("DELETE", "/me/library", params={"uris": ",".join(uris)})
def remove_saved_albums(self, *, album_ids: list[str]) -> Any:
uris = [f"spotify:album:{album_id}" for album_id in album_ids]
return self.request("DELETE", "/me/library", params={"uris": ",".join(uris)})
def get_recently_played(
self,
*,
limit: int = 20,
after: Optional[int] = None,
before: Optional[int] = None,
) -> Any:
return self.request("GET", "/me/player/recently-played", params={
"limit": limit,
"after": after,
"before": before,
})
def _extract_spotify_error_detail(response: httpx.Response, *, fallback: str) -> str:
detail = fallback
try:
payload = response.json()
if isinstance(payload, dict):
error_obj = payload.get("error")
if isinstance(error_obj, dict):
detail = str(error_obj.get("message") or detail)
elif isinstance(error_obj, str):
detail = error_obj
except Exception:
pass
return detail.strip()
def _friendly_spotify_error_message(
*,
status_code: int,
detail: str,
method: str,
path: str,
retry_after: Optional[str],
) -> str:
normalized_detail = detail.lower()
is_playback_path = path.startswith("/me/player")
if status_code == 401:
return "Spotify authentication failed or expired. Run `hermes auth spotify` again."
if status_code == 403:
if is_playback_path:
return (
"Spotify rejected this playback request. Playback control usually requires a Spotify Premium account "
"and an active Spotify Connect device."
)
if "scope" in normalized_detail or "permission" in normalized_detail:
return "Spotify rejected the request because the current auth scope is insufficient. Re-run `hermes auth spotify` to refresh permissions."
return "Spotify rejected the request. The account may not have permission for this action."
if status_code == 404:
if is_playback_path:
return "Spotify could not find an active playback device or player session for this request."
return "Spotify resource not found."
if status_code == 429:
message = "Spotify rate limit exceeded."
if retry_after:
message += f" Retry after {retry_after} seconds."
return message
if detail:
return detail
return f"Spotify API request failed with status {status_code}."
def _strip_none(payload: Optional[Dict[str, Any]]) -> Dict[str, Any]:
if not payload:
return {}
return {key: value for key, value in payload.items() if value is not None}
def normalize_spotify_id(value: str, expected_type: Optional[str] = None) -> str:
cleaned = (value or "").strip()
if not cleaned:
raise SpotifyError("Spotify id/uri/url is required.")
if cleaned.startswith("spotify:"):
parts = cleaned.split(":")
if len(parts) >= 3:
item_type = parts[1]
if expected_type and item_type != expected_type:
raise SpotifyError(f"Expected a Spotify {expected_type}, got {item_type}.")
return parts[2]
if "open.spotify.com" in cleaned:
parsed = urlparse(cleaned)
path_parts = [part for part in parsed.path.split("/") if part]
if len(path_parts) >= 2:
item_type, item_id = path_parts[0], path_parts[1]
if expected_type and item_type != expected_type:
raise SpotifyError(f"Expected a Spotify {expected_type}, got {item_type}.")
return item_id
return cleaned
def normalize_spotify_uri(value: str, expected_type: Optional[str] = None) -> str:
cleaned = (value or "").strip()
if not cleaned:
raise SpotifyError("Spotify URI/url/id is required.")
if cleaned.startswith("spotify:"):
if expected_type:
parts = cleaned.split(":")
if len(parts) >= 3 and parts[1] != expected_type:
raise SpotifyError(f"Expected a Spotify {expected_type}, got {parts[1]}.")
return cleaned
item_id = normalize_spotify_id(cleaned, expected_type)
if expected_type:
return f"spotify:{expected_type}:{item_id}"
return cleaned
def normalize_spotify_uris(values: Iterable[str], expected_type: Optional[str] = None) -> list[str]:
uris: list[str] = []
for value in values:
uri = normalize_spotify_uri(str(value), expected_type)
if uri not in uris:
uris.append(uri)
if not uris:
raise SpotifyError("At least one Spotify item is required.")
return uris
def compact_json(data: Any) -> str:
return json.dumps(data, ensure_ascii=False)
-13
View File
@@ -1,13 +0,0 @@
name: spotify
version: 1.0.0
description: "Native Spotify integration — 7 tools (playback, devices, queue, search, playlists, albums, library) using Spotify Web API + PKCE OAuth. Auth via `hermes auth spotify`. Tools gate on `providers.spotify` in ~/.hermes/auth.json."
author: NousResearch
kind: backend
provides_tools:
- spotify_playback
- spotify_devices
- spotify_queue
- spotify_search
- spotify_playlists
- spotify_albums
- spotify_library
-454
View File
@@ -1,454 +0,0 @@
"""Native Spotify tools for Hermes (registered via plugins/spotify)."""
from __future__ import annotations
from typing import Any, Dict, List
from hermes_cli.auth import get_auth_status
from plugins.spotify.client import (
SpotifyAPIError,
SpotifyAuthRequiredError,
SpotifyClient,
SpotifyError,
normalize_spotify_id,
normalize_spotify_uri,
normalize_spotify_uris,
)
from tools.registry import tool_error, tool_result
def _check_spotify_available() -> bool:
try:
return bool(get_auth_status("spotify").get("logged_in"))
except Exception:
return False
def _spotify_client() -> SpotifyClient:
return SpotifyClient()
def _spotify_tool_error(exc: Exception) -> str:
if isinstance(exc, (SpotifyError, SpotifyAuthRequiredError)):
return tool_error(str(exc))
if isinstance(exc, SpotifyAPIError):
return tool_error(str(exc), status_code=exc.status_code)
return tool_error(f"Spotify tool failed: {type(exc).__name__}: {exc}")
def _coerce_limit(raw: Any, *, default: int = 20, minimum: int = 1, maximum: int = 50) -> int:
try:
value = int(raw)
except Exception:
value = default
return max(minimum, min(maximum, value))
def _coerce_bool(raw: Any, default: bool = False) -> bool:
if isinstance(raw, bool):
return raw
if isinstance(raw, str):
cleaned = raw.strip().lower()
if cleaned in {"1", "true", "yes", "on"}:
return True
if cleaned in {"0", "false", "no", "off"}:
return False
return default
def _as_list(raw: Any) -> List[str]:
if raw is None:
return []
if isinstance(raw, list):
return [str(item).strip() for item in raw if str(item).strip()]
return [str(raw).strip()] if str(raw).strip() else []
def _describe_empty_playback(payload: Any, *, action: str) -> dict | None:
if not isinstance(payload, dict) or not payload.get("empty"):
return None
if action == "get_currently_playing":
return {
"success": True,
"action": action,
"is_playing": False,
"status_code": payload.get("status_code", 204),
"message": payload.get("message") or "Spotify is not currently playing anything.",
}
if action == "get_state":
return {
"success": True,
"action": action,
"has_active_device": False,
"status_code": payload.get("status_code", 204),
"message": payload.get("message") or "No active Spotify playback session was found.",
}
return None
def _handle_spotify_playback(args: dict, **kw) -> str:
action = str(args.get("action") or "get_state").strip().lower()
client = _spotify_client()
try:
if action == "get_state":
payload = client.get_playback_state(market=args.get("market"))
empty_result = _describe_empty_playback(payload, action=action)
return tool_result(empty_result or payload)
if action == "get_currently_playing":
payload = client.get_currently_playing(market=args.get("market"))
empty_result = _describe_empty_playback(payload, action=action)
return tool_result(empty_result or payload)
if action == "play":
offset = args.get("offset")
if isinstance(offset, dict):
payload_offset = {k: v for k, v in offset.items() if v is not None}
else:
payload_offset = None
uris = normalize_spotify_uris(_as_list(args.get("uris")), "track") if args.get("uris") else None
context_uri = None
if args.get("context_uri"):
raw_context = str(args.get("context_uri"))
context_type = None
if raw_context.startswith("spotify:album:") or "/album/" in raw_context:
context_type = "album"
elif raw_context.startswith("spotify:playlist:") or "/playlist/" in raw_context:
context_type = "playlist"
elif raw_context.startswith("spotify:artist:") or "/artist/" in raw_context:
context_type = "artist"
context_uri = normalize_spotify_uri(raw_context, context_type)
result = client.start_playback(
device_id=args.get("device_id"),
context_uri=context_uri,
uris=uris,
offset=payload_offset,
position_ms=args.get("position_ms"),
)
return tool_result({"success": True, "action": action, "result": result})
if action == "pause":
result = client.pause_playback(device_id=args.get("device_id"))
return tool_result({"success": True, "action": action, "result": result})
if action == "next":
result = client.skip_next(device_id=args.get("device_id"))
return tool_result({"success": True, "action": action, "result": result})
if action == "previous":
result = client.skip_previous(device_id=args.get("device_id"))
return tool_result({"success": True, "action": action, "result": result})
if action == "seek":
if args.get("position_ms") is None:
return tool_error("position_ms is required for action='seek'")
result = client.seek(position_ms=int(args["position_ms"]), device_id=args.get("device_id"))
return tool_result({"success": True, "action": action, "result": result})
if action == "set_repeat":
state = str(args.get("state") or "").strip().lower()
if state not in {"track", "context", "off"}:
return tool_error("state must be one of: track, context, off")
result = client.set_repeat(state=state, device_id=args.get("device_id"))
return tool_result({"success": True, "action": action, "result": result})
if action == "set_shuffle":
result = client.set_shuffle(state=_coerce_bool(args.get("state")), device_id=args.get("device_id"))
return tool_result({"success": True, "action": action, "result": result})
if action == "set_volume":
if args.get("volume_percent") is None:
return tool_error("volume_percent is required for action='set_volume'")
result = client.set_volume(volume_percent=max(0, min(100, int(args["volume_percent"]))), device_id=args.get("device_id"))
return tool_result({"success": True, "action": action, "result": result})
if action == "recently_played":
after = args.get("after")
before = args.get("before")
if after and before:
return tool_error("Provide only one of 'after' or 'before'")
return tool_result(client.get_recently_played(
limit=_coerce_limit(args.get("limit"), default=20),
after=int(after) if after is not None else None,
before=int(before) if before is not None else None,
))
return tool_error(f"Unknown spotify_playback action: {action}")
except Exception as exc:
return _spotify_tool_error(exc)
def _handle_spotify_devices(args: dict, **kw) -> str:
action = str(args.get("action") or "list").strip().lower()
client = _spotify_client()
try:
if action == "list":
return tool_result(client.get_devices())
if action == "transfer":
device_id = str(args.get("device_id") or "").strip()
if not device_id:
return tool_error("device_id is required for action='transfer'")
result = client.transfer_playback(device_id=device_id, play=_coerce_bool(args.get("play")))
return tool_result({"success": True, "action": action, "result": result})
return tool_error(f"Unknown spotify_devices action: {action}")
except Exception as exc:
return _spotify_tool_error(exc)
def _handle_spotify_queue(args: dict, **kw) -> str:
action = str(args.get("action") or "get").strip().lower()
client = _spotify_client()
try:
if action == "get":
return tool_result(client.get_queue())
if action == "add":
uri = normalize_spotify_uri(str(args.get("uri") or ""), None)
result = client.add_to_queue(uri=uri, device_id=args.get("device_id"))
return tool_result({"success": True, "action": action, "uri": uri, "result": result})
return tool_error(f"Unknown spotify_queue action: {action}")
except Exception as exc:
return _spotify_tool_error(exc)
def _handle_spotify_search(args: dict, **kw) -> str:
client = _spotify_client()
query = str(args.get("query") or "").strip()
if not query:
return tool_error("query is required")
raw_types = _as_list(args.get("types") or args.get("type") or ["track"])
search_types = [value.lower() for value in raw_types if value.lower() in {"album", "artist", "playlist", "track", "show", "episode", "audiobook"}]
if not search_types:
return tool_error("types must contain one or more of: album, artist, playlist, track, show, episode, audiobook")
try:
return tool_result(client.search(
query=query,
search_types=search_types,
limit=_coerce_limit(args.get("limit"), default=10),
offset=max(0, int(args.get("offset") or 0)),
market=args.get("market"),
include_external=args.get("include_external"),
))
except Exception as exc:
return _spotify_tool_error(exc)
def _handle_spotify_playlists(args: dict, **kw) -> str:
action = str(args.get("action") or "list").strip().lower()
client = _spotify_client()
try:
if action == "list":
return tool_result(client.get_my_playlists(
limit=_coerce_limit(args.get("limit"), default=20),
offset=max(0, int(args.get("offset") or 0)),
))
if action == "get":
playlist_id = normalize_spotify_id(str(args.get("playlist_id") or ""), "playlist")
return tool_result(client.get_playlist(playlist_id=playlist_id, market=args.get("market")))
if action == "create":
name = str(args.get("name") or "").strip()
if not name:
return tool_error("name is required for action='create'")
return tool_result(client.create_playlist(
name=name,
public=_coerce_bool(args.get("public")),
collaborative=_coerce_bool(args.get("collaborative")),
description=args.get("description"),
))
if action == "add_items":
playlist_id = normalize_spotify_id(str(args.get("playlist_id") or ""), "playlist")
uris = normalize_spotify_uris(_as_list(args.get("uris")))
return tool_result(client.add_playlist_items(
playlist_id=playlist_id,
uris=uris,
position=args.get("position"),
))
if action == "remove_items":
playlist_id = normalize_spotify_id(str(args.get("playlist_id") or ""), "playlist")
uris = normalize_spotify_uris(_as_list(args.get("uris")))
return tool_result(client.remove_playlist_items(
playlist_id=playlist_id,
uris=uris,
snapshot_id=args.get("snapshot_id"),
))
if action == "update_details":
playlist_id = normalize_spotify_id(str(args.get("playlist_id") or ""), "playlist")
return tool_result(client.update_playlist_details(
playlist_id=playlist_id,
name=args.get("name"),
public=args.get("public"),
collaborative=args.get("collaborative"),
description=args.get("description"),
))
return tool_error(f"Unknown spotify_playlists action: {action}")
except Exception as exc:
return _spotify_tool_error(exc)
def _handle_spotify_albums(args: dict, **kw) -> str:
action = str(args.get("action") or "get").strip().lower()
client = _spotify_client()
try:
album_id = normalize_spotify_id(str(args.get("album_id") or args.get("id") or ""), "album")
if action == "get":
return tool_result(client.get_album(album_id=album_id, market=args.get("market")))
if action == "tracks":
return tool_result(client.get_album_tracks(
album_id=album_id,
limit=_coerce_limit(args.get("limit"), default=20),
offset=max(0, int(args.get("offset") or 0)),
market=args.get("market"),
))
return tool_error(f"Unknown spotify_albums action: {action}")
except Exception as exc:
return _spotify_tool_error(exc)
def _handle_spotify_library(args: dict, **kw) -> str:
"""Unified handler for saved tracks + saved albums (formerly two tools)."""
kind = str(args.get("kind") or "").strip().lower()
if kind not in {"tracks", "albums"}:
return tool_error("kind must be one of: tracks, albums")
action = str(args.get("action") or "list").strip().lower()
item_type = "track" if kind == "tracks" else "album"
client = _spotify_client()
try:
if action == "list":
limit = _coerce_limit(args.get("limit"), default=20)
offset = max(0, int(args.get("offset") or 0))
market = args.get("market")
if kind == "tracks":
return tool_result(client.get_saved_tracks(limit=limit, offset=offset, market=market))
return tool_result(client.get_saved_albums(limit=limit, offset=offset, market=market))
if action == "save":
uris = normalize_spotify_uris(_as_list(args.get("uris") or args.get("items")), item_type)
return tool_result(client.save_library_items(uris=uris))
if action == "remove":
ids = [normalize_spotify_id(item, item_type) for item in _as_list(args.get("ids") or args.get("items"))]
if not ids:
return tool_error("ids/items is required for action='remove'")
if kind == "tracks":
return tool_result(client.remove_saved_tracks(track_ids=ids))
return tool_result(client.remove_saved_albums(album_ids=ids))
return tool_error(f"Unknown spotify_library action: {action}")
except Exception as exc:
return _spotify_tool_error(exc)
COMMON_STRING = {"type": "string"}
SPOTIFY_PLAYBACK_SCHEMA = {
"name": "spotify_playback",
"description": "Control Spotify playback, inspect the active playback state, or fetch recently played tracks.",
"parameters": {
"type": "object",
"properties": {
"action": {"type": "string", "enum": ["get_state", "get_currently_playing", "play", "pause", "next", "previous", "seek", "set_repeat", "set_shuffle", "set_volume", "recently_played"]},
"device_id": COMMON_STRING,
"market": COMMON_STRING,
"context_uri": COMMON_STRING,
"uris": {"type": "array", "items": COMMON_STRING},
"offset": {"type": "object"},
"position_ms": {"type": "integer"},
"state": {"description": "For set_repeat use track/context/off. For set_shuffle use boolean-like true/false.", "oneOf": [{"type": "string"}, {"type": "boolean"}]},
"volume_percent": {"type": "integer"},
"limit": {"type": "integer", "description": "For recently_played: number of tracks (max 50)"},
"after": {"type": "integer", "description": "For recently_played: Unix ms cursor (after this timestamp)"},
"before": {"type": "integer", "description": "For recently_played: Unix ms cursor (before this timestamp)"},
},
"required": ["action"],
},
}
SPOTIFY_DEVICES_SCHEMA = {
"name": "spotify_devices",
"description": "List Spotify Connect devices or transfer playback to a different device.",
"parameters": {
"type": "object",
"properties": {
"action": {"type": "string", "enum": ["list", "transfer"]},
"device_id": COMMON_STRING,
"play": {"type": "boolean"},
},
"required": ["action"],
},
}
SPOTIFY_QUEUE_SCHEMA = {
"name": "spotify_queue",
"description": "Inspect the user's Spotify queue or add an item to it.",
"parameters": {
"type": "object",
"properties": {
"action": {"type": "string", "enum": ["get", "add"]},
"uri": COMMON_STRING,
"device_id": COMMON_STRING,
},
"required": ["action"],
},
}
SPOTIFY_SEARCH_SCHEMA = {
"name": "spotify_search",
"description": "Search the Spotify catalog for tracks, albums, artists, playlists, shows, or episodes.",
"parameters": {
"type": "object",
"properties": {
"query": COMMON_STRING,
"types": {"type": "array", "items": COMMON_STRING},
"type": COMMON_STRING,
"limit": {"type": "integer"},
"offset": {"type": "integer"},
"market": COMMON_STRING,
"include_external": COMMON_STRING,
},
"required": ["query"],
},
}
SPOTIFY_PLAYLISTS_SCHEMA = {
"name": "spotify_playlists",
"description": "List, inspect, create, update, and modify Spotify playlists.",
"parameters": {
"type": "object",
"properties": {
"action": {"type": "string", "enum": ["list", "get", "create", "add_items", "remove_items", "update_details"]},
"playlist_id": COMMON_STRING,
"market": COMMON_STRING,
"limit": {"type": "integer"},
"offset": {"type": "integer"},
"name": COMMON_STRING,
"description": COMMON_STRING,
"public": {"type": "boolean"},
"collaborative": {"type": "boolean"},
"uris": {"type": "array", "items": COMMON_STRING},
"position": {"type": "integer"},
"snapshot_id": COMMON_STRING,
},
"required": ["action"],
},
}
SPOTIFY_ALBUMS_SCHEMA = {
"name": "spotify_albums",
"description": "Fetch Spotify album metadata or album tracks.",
"parameters": {
"type": "object",
"properties": {
"action": {"type": "string", "enum": ["get", "tracks"]},
"album_id": COMMON_STRING,
"id": COMMON_STRING,
"market": COMMON_STRING,
"limit": {"type": "integer"},
"offset": {"type": "integer"},
},
"required": ["action"],
},
}
SPOTIFY_LIBRARY_SCHEMA = {
"name": "spotify_library",
"description": "List, save, or remove the user's saved Spotify tracks or albums. Use `kind` to select which.",
"parameters": {
"type": "object",
"properties": {
"kind": {"type": "string", "enum": ["tracks", "albums"], "description": "Which library to operate on"},
"action": {"type": "string", "enum": ["list", "save", "remove"]},
"limit": {"type": "integer"},
"offset": {"type": "integer"},
"market": COMMON_STRING,
"uris": {"type": "array", "items": COMMON_STRING},
"ids": {"type": "array", "items": COMMON_STRING},
"items": {"type": "array", "items": COMMON_STRING},
},
"required": ["kind", "action"],
},
}
-70
View File
@@ -1,70 +0,0 @@
# Strike Freedom Cockpit — dashboard skin demo
Demonstrates how the dashboard skin+plugin system can be used to build a
fully custom cockpit-style reskin without touching the core dashboard.
Two pieces:
- `theme/strike-freedom.yaml` — a dashboard theme YAML that paints the
palette, typography, layout variant (`cockpit`), component chrome
(notched card corners, scanlines, accent colors), and declares asset
slots (`hero`, `crest`, `bg`).
- `dashboard/` — a plugin that populates the `sidebar`, `header-left`,
and `footer-right` slots reserved by the cockpit layout. The sidebar
renders an MS-STATUS panel with segmented telemetry bars driven by
real agent status; the header-left injects a COMPASS crest; the
footer-right replaces the default org tagline.
## Install
1. **Theme** — copy the theme YAML into your Hermes home:
```
cp theme/strike-freedom.yaml ~/.hermes/dashboard-themes/
```
2. **Plugin** — the `dashboard/` directory gets auto-discovered because
it lives under `plugins/` in the repo. On a user install, copy the
whole plugin directory into `~/.hermes/plugins/`:
```
cp -r . ~/.hermes/plugins/strike-freedom-cockpit
```
3. Restart the web UI (or `GET /api/dashboard/plugins/rescan`), open it,
pick **Strike Freedom** from the theme switcher.
## Customising the artwork
The sidebar plugin reads `--theme-asset-hero` and `--theme-asset-crest`
from the active theme. Drop your own URLs into the theme YAML:
```yaml
assets:
hero: "/my-images/strike-freedom.png"
crest: "/my-images/compass-crest.svg"
bg: "/my-images/cosmic-era-bg.jpg"
```
The plugin reads those at render time — no plugin code changes needed
to swap artwork across themes.
## What this demo proves
The dashboard skin+plugin system supports (ref: `web/src/themes/types.ts`,
`web/src/plugins/slots.ts`):
- Palette, typography, font URLs, density, radius — already present
- **Asset URLs exposed as CSS vars** (bg / hero / crest / logo /
sidebar / header + arbitrary `custom.*`)
- **Raw `customCSS` blocks** injected as scoped `<style>` tags
- **Per-component style overrides** (card / header / sidebar / backdrop /
tab / progress / footer / badge / page) via CSS vars
- **`layoutVariant`** — `standard`, `cockpit`, or `tiled`
- **Plugin slots** — 10 named shell slots plugins can inject into
(`backdrop`, `header-left/right/banner`, `sidebar`, `pre-main`,
`post-main`, `footer-left/right`, `overlay`)
- **Route overrides** — plugins can replace a built-in page entirely
(`tab.override: "/"`) instead of just adding a tab
- **Hidden plugins** — slot-only plugins that never show in the nav
(`tab.hidden: true`) — as used here
-309
View File
@@ -1,309 +0,0 @@
/**
* Strike Freedom Cockpit dashboard plugin demo.
*
* A slot-only plugin (manifest sets tab.hidden: true) that populates
* three shell slots when the user has the ``strike-freedom`` theme
* selected (or any theme that picks layoutVariant: cockpit):
*
* - sidebar MS-STATUS panel: ENERGY / SHIELD / POWER bars,
* ZGMF-X20A identity line, pilot block, hero
* render (from --theme-asset-hero when the theme
* provides one).
* - header-left COMPASS faction crest (uses --theme-asset-crest
* if provided, falls back to a geometric SVG).
* - footer-right COSMIC ERA tagline that replaces the default
* footer org line.
*
* The plugin demonstrates every extension point added alongside the
* slot system: registerSlot, tab.hidden, reading theme asset CSS vars
* from plugin code, and rendering above the built-in route content.
*/
(function () {
"use strict";
const SDK = window.__HERMES_PLUGIN_SDK__;
const PLUGINS = window.__HERMES_PLUGINS__;
if (!SDK || !PLUGINS || !PLUGINS.registerSlot) {
// Old dashboard bundle without slot support — bail silently rather
// than breaking the page.
return;
}
const { React } = SDK;
const { useState, useEffect } = SDK.hooks;
const { api } = SDK;
// ---------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------
/** Read a CSS custom property from :root. Empty string when unset. */
function cssVar(name) {
if (typeof document === "undefined") return "";
return getComputedStyle(document.documentElement).getPropertyValue(name).trim();
}
/** Segmented chip progress bar — 10 cells filled proportionally to value. */
function TelemetryBar(props) {
const { label, value, color } = props;
const cells = [];
for (let i = 0; i < 10; i++) {
const filled = Math.round(value / 10) > i;
cells.push(
React.createElement("span", {
key: i,
style: {
flex: 1,
height: 8,
background: filled ? color : "rgba(255,255,255,0.06)",
transition: "background 200ms",
clipPath: "polygon(2px 0, 100% 0, calc(100% - 2px) 100%, 0 100%)",
},
}),
);
}
return React.createElement(
"div",
{ style: { display: "flex", flexDirection: "column", gap: 4 } },
React.createElement(
"div",
{
style: {
display: "flex",
justifyContent: "space-between",
fontSize: "0.65rem",
letterSpacing: "0.12em",
opacity: 0.75,
},
},
React.createElement("span", null, label),
React.createElement("span", { style: { color, fontWeight: 700 } }, value + "%"),
),
React.createElement(
"div",
{ style: { display: "flex", gap: 2 } },
cells,
),
);
}
// ---------------------------------------------------------------------
// Sidebar: MS-STATUS panel
// ---------------------------------------------------------------------
function SidebarSlot() {
// Pull live-ish numbers from the status API so the plugin isn't just
// a static decoration. Fall back to full bars if the API is slow /
// unavailable.
const [status, setStatus] = useState(null);
useEffect(function () {
let cancel = false;
api.getStatus()
.then(function (s) { if (!cancel) setStatus(s); })
.catch(function () {});
return function () { cancel = true; };
}, []);
// Map real status signals to HUD telemetry. Energy/shield/power
// aren't literal concepts on a software agent, so we read them from
// adjacent signals: active sessions, gateway connected-platforms,
// and agent-online health.
const energy = status && status.gateway_online ? 92 : 18;
const shield = status && status.connected_platforms
? Math.min(100, 40 + (status.connected_platforms.length * 15))
: 70;
const power = status && status.active_sessions
? Math.min(100, 55 + (status.active_sessions.length * 10))
: 87;
const hero = cssVar("--theme-asset-hero");
return React.createElement(
"div",
{
style: {
padding: "1rem 0.75rem",
display: "flex",
flexDirection: "column",
gap: "1rem",
fontFamily: "var(--theme-font-display, sans-serif)",
letterSpacing: "0.08em",
textTransform: "uppercase",
fontSize: "0.65rem",
},
},
// Header line
React.createElement(
"div",
{
style: {
borderBottom: "1px solid rgba(64,200,255,0.3)",
paddingBottom: 8,
display: "flex",
flexDirection: "column",
gap: 2,
},
},
React.createElement("span", { style: { opacity: 0.6 } }, "ms status"),
React.createElement("span", { style: { fontWeight: 700, fontSize: "0.85rem" } }, "zgmf-x20a"),
React.createElement("span", { style: { opacity: 0.6, fontSize: "0.6rem" } }, "strike freedom"),
),
// Hero slot — only renders when the theme provides one.
hero
? React.createElement("div", {
style: {
width: "100%",
aspectRatio: "3 / 4",
backgroundImage: hero,
backgroundSize: "contain",
backgroundPosition: "center",
backgroundRepeat: "no-repeat",
opacity: 0.85,
},
"aria-hidden": true,
})
: React.createElement("div", {
style: {
width: "100%",
aspectRatio: "3 / 4",
border: "1px dashed rgba(64,200,255,0.25)",
display: "flex",
alignItems: "center",
justifyContent: "center",
fontSize: "0.55rem",
opacity: 0.4,
},
}, "hero slot — set assets.hero in theme"),
// Pilot block
React.createElement(
"div",
{
style: {
borderTop: "1px solid rgba(64,200,255,0.18)",
borderBottom: "1px solid rgba(64,200,255,0.18)",
padding: "8px 0",
display: "flex",
flexDirection: "column",
gap: 2,
},
},
React.createElement("span", { style: { opacity: 0.5, fontSize: "0.55rem" } }, "pilot"),
React.createElement("span", { style: { fontWeight: 700 } }, "hermes agent"),
React.createElement("span", { style: { opacity: 0.5, fontSize: "0.55rem" } }, "compass"),
),
// Telemetry bars
React.createElement(TelemetryBar, { label: "energy", value: energy, color: "#ffce3a" }),
React.createElement(TelemetryBar, { label: "shield", value: shield, color: "#3fd3ff" }),
React.createElement(TelemetryBar, { label: "power", value: power, color: "#ff3a5e" }),
// System online
React.createElement(
"div",
{
style: {
marginTop: 4,
padding: "6px 8px",
border: "1px solid rgba(74,222,128,0.4)",
color: "#4ade80",
textAlign: "center",
fontWeight: 700,
fontSize: "0.6rem",
},
},
status && status.gateway_online ? "system online" : "system offline",
),
);
}
// ---------------------------------------------------------------------
// Header-left: COMPASS crest
// ---------------------------------------------------------------------
function HeaderCrestSlot() {
const crest = cssVar("--theme-asset-crest");
const inner = crest
? React.createElement("div", {
style: {
width: 28,
height: 28,
backgroundImage: crest,
backgroundSize: "contain",
backgroundPosition: "center",
backgroundRepeat: "no-repeat",
},
"aria-hidden": true,
})
: React.createElement(
"svg",
{
width: 28,
height: 28,
viewBox: "0 0 28 28",
fill: "none",
stroke: "currentColor",
strokeWidth: 1.5,
"aria-hidden": true,
},
React.createElement("path", { d: "M14 2 L26 14 L14 26 L2 14 Z" }),
React.createElement("path", { d: "M14 8 L20 14 L14 20 L8 14 Z" }),
React.createElement("circle", { cx: 14, cy: 14, r: 2, fill: "currentColor" }),
);
return React.createElement(
"div",
{
style: {
display: "flex",
alignItems: "center",
paddingLeft: 12,
paddingRight: 8,
color: "var(--color-accent, #3fd3ff)",
},
},
inner,
);
}
// ---------------------------------------------------------------------
// Footer-right: COSMIC ERA tagline
// ---------------------------------------------------------------------
function FooterTaglineSlot() {
return React.createElement(
"span",
{
style: {
fontFamily: "var(--theme-font-display, sans-serif)",
fontSize: "0.6rem",
letterSpacing: "0.18em",
textTransform: "uppercase",
opacity: 0.75,
mixBlendMode: "plus-lighter",
},
},
"compass hermes systems / cosmic era 71",
);
}
// ---------------------------------------------------------------------
// Hidden tab placeholder — tab.hidden=true means this never renders in
// the nav, but we still register something sensible in case someone
// manually navigates to /strike-freedom-cockpit (e.g. via a bookmark).
// ---------------------------------------------------------------------
function HiddenPage() {
return React.createElement(
"div",
{ style: { padding: "2rem", opacity: 0.6, fontSize: "0.8rem" } },
"Strike Freedom cockpit is a slot-only plugin — it populates the sidebar, header, and footer instead of showing a tab page.",
);
}
// ---------------------------------------------------------------------
// Registration
// ---------------------------------------------------------------------
const NAME = "strike-freedom-cockpit";
PLUGINS.register(NAME, HiddenPage);
PLUGINS.registerSlot(NAME, "sidebar", SidebarSlot);
PLUGINS.registerSlot(NAME, "header-left", HeaderCrestSlot);
PLUGINS.registerSlot(NAME, "footer-right", FooterTaglineSlot);
})();
@@ -1,14 +0,0 @@
{
"name": "strike-freedom-cockpit",
"label": "Strike Freedom Cockpit",
"description": "MS-STATUS sidebar + header crest for the Strike Freedom theme",
"icon": "Shield",
"version": "1.0.0",
"tab": {
"path": "/strike-freedom-cockpit",
"position": "end",
"hidden": true
},
"slots": ["sidebar", "header-left", "footer-right"],
"entry": "dist/index.js"
}
@@ -1,126 +0,0 @@
# Strike Freedom — Hermes dashboard theme demo
#
# Copy this file to ~/.hermes/dashboard-themes/strike-freedom.yaml and
# restart the web UI (or hit `/api/dashboard/plugins/rescan`). Pair with
# the `strike-freedom-cockpit` plugin (plugins/strike-freedom-cockpit/)
# for the full cockpit experience — this theme paints the palette,
# chrome, and layout; the plugin supplies the MS-STATUS sidebar + header
# crest that the cockpit layout variant reserves space for.
#
# Demonstrates every theme extension point added alongside the plugin
# slot system: palette, typography, layoutVariant, assets, customCSS,
# componentStyles, colorOverrides.
name: strike-freedom
label: "Strike Freedom"
description: "Cockpit HUD — deep navy + cyan + gold accents"
# ------- palette (3-layer) -------
palette:
background: "#05091a"
midground: "#d8f0ff"
foreground:
hex: "#ffffff"
alpha: 0
warmGlow: "rgba(255, 199, 55, 0.24)"
noiseOpacity: 0.7
# ------- typography -------
typography:
fontSans: '"Orbitron", "Eurostile", "Bank Gothic", "Impact", sans-serif'
fontMono: '"Share Tech Mono", "JetBrains Mono", ui-monospace, monospace'
fontDisplay: '"Orbitron", "Eurostile", "Impact", sans-serif'
fontUrl: "https://fonts.googleapis.com/css2?family=Orbitron:wght@400;500;600;700;800&family=Share+Tech+Mono&display=swap"
baseSize: "14px"
lineHeight: "1.5"
letterSpacing: "0.04em"
# ------- layout -------
layout:
radius: "0"
density: "compact"
# ``cockpit`` reserves a 260px left rail that the shell renders when the
# user is on this theme. A paired plugin populates the rail via the
# ``sidebar`` slot; with no plugin the rail shows a placeholder.
layoutVariant: cockpit
# ------- assets -------
# Use any URL (https, data:, /dashboard-plugins/...) or a pre-wrapped
# ``url(...)``/``linear-gradient(...)`` expression. The shell exposes
# each as a CSS var so plugins can read the same imagery.
assets:
bg: "linear-gradient(140deg, #05091a 0%, #0a1530 55%, #102048 100%)"
# Plugin reads --theme-asset-hero / --theme-asset-crest to populate
# its sidebar hero render + header crest. Replace these URLs with your
# own artwork (copy files into ~/.hermes/dashboard-themes/assets/ and
# reference them as /dashboard-themes-assets/strike-freedom/hero.png
# once that static route is wired up — for now use inline data URLs or
# remote URLs).
hero: ""
crest: ""
# ------- component chrome -------
# Each bucket's props become CSS vars (--component-<bucket>-<kebab>) that
# built-in shell components (Card, header, sidebar, backdrop) consume.
componentStyles:
card:
# Notched corners on the top-left + bottom-right — classic mecha UI.
clipPath: "polygon(12px 0, 100% 0, 100% calc(100% - 12px), calc(100% - 12px) 100%, 0 100%, 0 12px)"
background: "linear-gradient(180deg, rgba(10, 22, 52, 0.85) 0%, rgba(5, 9, 26, 0.92) 100%)"
boxShadow: "inset 0 0 0 1px rgba(64, 200, 255, 0.28), 0 0 18px -6px rgba(64, 200, 255, 0.4)"
header:
background: "linear-gradient(180deg, rgba(16, 32, 72, 0.95) 0%, rgba(5, 9, 26, 0.9) 100%)"
sidebar:
background: "linear-gradient(180deg, rgba(8, 18, 42, 0.88) 0%, rgba(5, 9, 26, 0.85) 100%)"
tab:
clipPath: "polygon(6px 0, 100% 0, calc(100% - 6px) 100%, 0 100%)"
backdrop:
backgroundSize: "cover"
backgroundPosition: "center"
fillerOpacity: "1"
fillerBlendMode: "normal"
# ------- color overrides -------
colorOverrides:
primary: "#ffce3a"
primaryForeground: "#05091a"
accent: "#3fd3ff"
accentForeground: "#05091a"
ring: "#3fd3ff"
success: "#4ade80"
warning: "#ffce3a"
destructive: "#ff3a5e"
border: "rgba(64, 200, 255, 0.28)"
# ------- customCSS -------
# Raw CSS injected as a scoped <style> tag on theme apply. Use this for
# selector-level tweaks componentStyles can't express (pseudo-elements,
# animations, media queries). Bounded to 32 KiB per theme.
customCSS: |
/* Scanline overlay — subtle, only when theme is active. */
:root[data-layout-variant="cockpit"] body::before {
content: "";
position: fixed;
inset: 0;
pointer-events: none;
z-index: 100;
background: repeating-linear-gradient(
to bottom,
transparent 0px,
transparent 2px,
rgba(64, 200, 255, 0.035) 3px,
rgba(64, 200, 255, 0.035) 4px
);
mix-blend-mode: screen;
}
/* Chevron pips on card corners. */
[data-layout-variant="cockpit"] .border-border::before,
[data-layout-variant="cockpit"] .border-border::after {
content: "";
position: absolute;
width: 8px;
height: 8px;
border: 1px solid rgba(64, 200, 255, 0.55);
pointer-events: none;
}
+8 -6
View File
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "hermes-agent"
version = "0.11.0"
version = "0.10.0"
description = "The self-improving AI agent — creates skills from experience, improves them during use, and runs anywhere"
readme = "README.md"
requires-python = ">=3.11"
@@ -40,11 +40,11 @@ dependencies = [
modal = ["modal>=1.0.0,<2"]
daytona = ["daytona>=0.148.0,<1"]
dev = ["debugpy>=1.8.0,<2", "pytest>=9.0.2,<10", "pytest-asyncio>=1.3.0,<2", "pytest-xdist>=3.0,<4", "mcp>=1.2.0,<2", "ty>=0.0.1a29,<0.0.22", "ruff"]
messaging = ["python-telegram-bot[webhooks]>=22.6,<23", "discord.py[voice]>=2.7.1,<3", "aiohttp>=3.13.3,<4", "slack-bolt>=1.18.0,<2", "slack-sdk>=3.27.0,<4", "qrcode>=7.0,<8"]
messaging = ["python-telegram-bot[webhooks]>=22.6,<23", "discord.py[voice]>=2.7.1,<3", "aiohttp>=3.13.3,<4", "slack-bolt>=1.18.0,<2", "slack-sdk>=3.27.0,<4", "qrcode>=7.0,<8", "mutagen>=1.45,<2", "aiohttp-socks>=0.9,<1"]
cron = ["croniter>=6.0.0,<7"]
slack = ["slack-bolt>=1.18.0,<2", "slack-sdk>=3.27.0,<4"]
matrix = ["mautrix[encryption]>=0.20,<1", "Markdown>=3.6,<4", "aiosqlite>=0.20", "asyncpg>=0.29"]
cli = ["simple-term-menu>=1.0,<2"]
cli = ["simple-term-menu>=1.0,<2", "tiktoken>=0.7,<1", "Pillow>=10,<12"]
tts-premium = ["elevenlabs>=1.0,<2"]
voice = [
# Local STT pulls in wheel-only transitive deps (ctranslate2, onnxruntime),
@@ -58,7 +58,7 @@ pty = [
"pywinpty>=2.0.0,<3; sys_platform == 'win32'",
]
honcho = ["honcho-ai>=2.0.1,<3"]
mcp = ["mcp>=1.2.0,<2"]
mcp = ["mcp>=1.2.0,<2", "psutil>=5.9,<7"]
homeassistant = ["aiohttp>=3.9.0,<4"]
sms = ["aiohttp>=3.9.0,<4"]
acp = ["agent-client-protocol>=0.9.0,<1.0"]
@@ -85,7 +85,9 @@ rl = [
"fastapi>=0.104.0,<1",
"uvicorn[standard]>=0.24.0,<1",
"wandb>=0.15.0,<1",
"datasets>=2.14,<3",
]
tts-local = ["neutts[all]", "soundfile>=0.12,<1"]
yc-bench = ["yc-bench @ git+https://github.com/collinear-ai/yc-bench.git@bfb0c88062450f46341bd9a5298903fc2e952a5c ; python_version >= '3.12'"]
all = [
"hermes-agent[modal]",
@@ -120,13 +122,13 @@ hermes-agent = "run_agent:main"
hermes-acp = "acp_adapter.entry:main"
[tool.setuptools]
py-modules = ["run_agent", "model_tools", "toolsets", "batch_runner", "trajectory_compressor", "toolset_distributions", "cli", "hermes_constants", "hermes_state", "hermes_time", "hermes_logging", "rl_cli", "utils"]
py-modules = ["run_agent", "model_tools", "toolsets", "toolset_distributions", "cli", "hermes_constants", "hermes_state", "hermes_time", "hermes_logging", "utils"]
[tool.setuptools.package-data]
hermes_cli = ["web_dist/**/*"]
[tool.setuptools.packages.find]
include = ["agent", "agent.*", "tools", "tools.*", "hermes_cli", "gateway", "gateway.*", "tui_gateway", "tui_gateway.*", "cron", "acp_adapter", "plugins", "plugins.*"]
include = ["agent", "agent.*", "tools", "tools.*", "hermes_cli", "gateway", "gateway.*", "tui_gateway", "tui_gateway.*", "cron", "acp_adapter", "plugins", "plugins.*", "scripts"]
[tool.pytest.ini_options]
testpaths = ["tests"]
+102 -396
View File
@@ -31,15 +31,16 @@ logger = logging.getLogger(__name__)
import os
import random
import re
import ssl
import sys
import tempfile
import time
import threading
from types import SimpleNamespace
import urllib.request
import uuid
from typing import List, Dict, Any, Optional
from typing import Callable, List, Dict, Any, Optional, TYPE_CHECKING
if TYPE_CHECKING:
from agent.rate_limit_tracker import RateLimitState
from openai import OpenAI
import fire
from datetime import datetime
@@ -183,25 +184,6 @@ def _get_proxy_from_env() -> Optional[str]:
return None
def _get_proxy_for_base_url(base_url: Optional[str]) -> Optional[str]:
"""Return an env-configured proxy unless NO_PROXY excludes this base URL."""
proxy = _get_proxy_from_env()
if not proxy or not base_url:
return proxy
host = base_url_hostname(base_url)
if not host:
return proxy
try:
if urllib.request.proxy_bypass_environment(host):
return None
except Exception:
pass
return proxy
def _install_safe_stdio() -> None:
"""Wrap stdout/stderr so best-effort console output cannot crash the agent."""
for stream_name in ("stdout", "stderr"):
@@ -283,7 +265,6 @@ _MAX_TOOL_WORKERS = 8
_DESTRUCTIVE_PATTERNS = re.compile(
r"""(?:^|\s|&&|\|\||;|`)(?:
rm\s|rmdir\s|
cp\s|install\s|
mv\s|
sed\s+-i|
truncate\s|
@@ -685,40 +666,6 @@ def _sanitize_structure_non_ascii(payload: Any) -> bool:
_QWEN_CODE_VERSION = "0.14.1"
def _routermint_headers() -> dict:
"""Return the User-Agent RouterMint needs to avoid Cloudflare 1010 blocks."""
from hermes_cli import __version__ as _HERMES_VERSION
return {
"User-Agent": f"HermesAgent/{_HERMES_VERSION}",
}
def _pool_may_recover_from_rate_limit(pool) -> bool:
"""Decide whether to wait for credential-pool rotation instead of falling back.
The existing pool-rotation path requires the pool to (1) exist and (2) have
at least one entry not currently in exhaustion cooldown. But rotation is
only meaningful when the pool has more than one entry.
With a single-credential pool (common for Gemini OAuth, Vertex service
accounts, and any "one personal key" configuration), the primary entry
just 429'd and there is nothing to rotate to. Waiting for the pool
cooldown to expire means retrying against the same exhausted quota the
daily-quota 429 will recur immediately, and the retry budget is burned.
In that case we must fall back to the configured ``fallback_model``
instead. Returns True only when rotation has somewhere to go.
See issue #11314.
"""
if pool is None:
return False
if not pool.has_available():
return False
return len(pool.entries()) > 1
def _qwen_portal_headers() -> dict:
"""Return default HTTP headers required by Qwen Portal API."""
import platform as _plat
@@ -778,17 +725,17 @@ class AIAgent:
provider_require_parameters: bool = False,
provider_data_collection: str = None,
session_id: str = None,
tool_progress_callback: callable = None,
tool_start_callback: callable = None,
tool_complete_callback: callable = None,
thinking_callback: callable = None,
reasoning_callback: callable = None,
clarify_callback: callable = None,
step_callback: callable = None,
stream_delta_callback: callable = None,
interim_assistant_callback: callable = None,
tool_gen_callback: callable = None,
status_callback: callable = None,
tool_progress_callback: Callable[..., Any] = None,
tool_start_callback: Callable[..., Any] = None,
tool_complete_callback: Callable[..., Any] = None,
thinking_callback: Callable[..., Any] = None,
reasoning_callback: Callable[..., Any] = None,
clarify_callback: Callable[..., Any] = None,
step_callback: Callable[..., Any] = None,
stream_delta_callback: Callable[..., Any] = None,
interim_assistant_callback: Callable[..., Any] = None,
tool_gen_callback: Callable[..., Any] = None,
status_callback: Callable[..., Any] = None,
max_tokens: int = None,
reasoning_config: Dict[str, Any] = None,
service_tier: str = None,
@@ -1062,21 +1009,8 @@ class AIAgent:
self._use_prompt_caching, self._use_native_cache_layout = (
self._anthropic_prompt_cache_policy()
)
# Anthropic supports "5m" (default) and "1h" cache TTL tiers. Read from
# config.yaml under prompt_caching.cache_ttl; unknown values keep "5m".
# 1h tier costs 2x on write vs 1.25x for 5m, but amortizes across long
# sessions with >5-minute pauses between turns (#14971).
self._cache_ttl = "5m"
try:
from hermes_cli.config import load_config as _load_pc_cfg
_pc_cfg = _load_pc_cfg().get("prompt_caching", {}) or {}
_ttl = _pc_cfg.get("cache_ttl", "5m")
if _ttl in ("5m", "1h"):
self._cache_ttl = _ttl
except Exception:
pass
self._cache_ttl = "5m" # Default 5-minute TTL (1.25x write cost)
# Iteration budget: the LLM is only notified when it actually exhausts
# the iteration budget (api_call_count >= max_iterations). At that
# point we inject ONE message, allow one final API call, and if the
@@ -1117,7 +1051,7 @@ class AIAgent:
for quiet_logger in [
'tools', # all tools.* (terminal, browser, web, file, etc.)
'run_agent', # agent runner internals
'trajectory_compressor',
'scripts.trajectory_compressor',
'cron', # scheduler (only relevant in daemon mode)
'hermes_cli', # CLI helpers
]:
@@ -1248,8 +1182,6 @@ class AIAgent:
"X-OpenRouter-Title": "Hermes Agent",
"X-OpenRouter-Categories": "productivity,cli-agent",
}
elif base_url_host_matches(effective_base, "api.routermint.com"):
client_kwargs["default_headers"] = _routermint_headers()
elif base_url_host_matches(effective_base, "api.githubcopilot.com"):
from hermes_cli.models import copilot_default_headers
@@ -1619,17 +1551,6 @@ class AIAgent:
_agent_section = {}
self._tool_use_enforcement = _agent_section.get("tool_use_enforcement", "auto")
# App-level API retry count (wraps each model API call). Default 3,
# overridable via agent.api_max_retries in config.yaml. See #11616.
try:
_raw_api_retries = _agent_section.get("api_max_retries", 3)
_api_retries = int(_raw_api_retries)
if _api_retries < 1:
_api_retries = 1 # 1 = no retry (single attempt)
except (TypeError, ValueError):
_api_retries = 3
self._api_max_retries = _api_retries
# Initialize context compressor for automatic context management
# Compresses conversation when approaching model's context limit
# Configuration via config.yaml (compression section)
@@ -2119,14 +2040,12 @@ class AIAgent:
# ("switched to anthropic, tui keeps trying openrouter").
old_norm = (old_provider or "").strip().lower()
new_norm = (new_provider or "").strip().lower()
fallback_chain = list(getattr(self, "_fallback_chain", []) or [])
if old_norm and new_norm and old_norm != new_norm:
fallback_chain = [
entry for entry in fallback_chain
self._fallback_chain = [
entry for entry in self._fallback_chain
if (entry.get("provider") or "").strip().lower() not in {old_norm, new_norm}
]
self._fallback_chain = fallback_chain
self._fallback_model = fallback_chain[0] if fallback_chain else None
self._fallback_model = self._fallback_chain[0] if self._fallback_chain else None
logging.info(
"Model switched in-place: %s (%s) -> %s (%s)",
@@ -2948,69 +2867,6 @@ class AIAgent:
"If nothing stands out, just say 'Nothing to save.' and stop."
)
@staticmethod
def _summarize_background_review_actions(
review_messages: List[Dict],
prior_snapshot: List[Dict],
) -> List[str]:
"""Build the human-facing action summary for a background review pass.
Walks the review agent's session messages and collects "successful tool
action" descriptions to surface to the user (e.g. "Memory updated").
Tool messages already present in ``prior_snapshot`` are skipped so we
don't re-surface stale results from the prior conversation that the
review agent inherited via ``conversation_history`` (issue #14944).
Matching is by ``tool_call_id`` when available, with a content-equality
fallback for tool messages that lack one.
"""
existing_tool_call_ids = set()
existing_tool_contents = set()
for prior in prior_snapshot or []:
if not isinstance(prior, dict) or prior.get("role") != "tool":
continue
tcid = prior.get("tool_call_id")
if tcid:
existing_tool_call_ids.add(tcid)
else:
content = prior.get("content")
if isinstance(content, str):
existing_tool_contents.add(content)
actions: List[str] = []
for msg in review_messages or []:
if not isinstance(msg, dict) or msg.get("role") != "tool":
continue
tcid = msg.get("tool_call_id")
if tcid and tcid in existing_tool_call_ids:
continue
if not tcid:
content_str = msg.get("content")
if isinstance(content_str, str) and content_str in existing_tool_contents:
continue
try:
data = json.loads(msg.get("content", "{}"))
except (json.JSONDecodeError, TypeError):
continue
if not isinstance(data, dict) or not data.get("success"):
continue
message = data.get("message", "")
target = data.get("target", "")
if "created" in message.lower():
actions.append(message)
elif "updated" in message.lower():
actions.append(message)
elif "added" in message.lower() or (target and "add" in message.lower()):
label = "Memory" if target == "memory" else "User profile" if target == "user" else target
actions.append(f"{label} updated")
elif "Entry added" in message:
label = "Memory" if target == "memory" else "User profile" if target == "user" else target
actions.append(f"{label} updated")
elif "removed" in message.lower() or "replaced" in message.lower():
label = "Memory" if target == "memory" else "User profile" if target == "user" else target
actions.append(f"{label} updated")
return actions
def _spawn_background_review(
self,
messages_snapshot: List[Dict],
@@ -3060,15 +2916,32 @@ class AIAgent:
)
# Scan the review agent's messages for successful tool actions
# and surface a compact summary to the user. Tool messages
# already present in messages_snapshot must be skipped, since
# the review agent inherits that history and would otherwise
# re-surface stale "created"/"updated" messages from the prior
# conversation as if they just happened (issue #14944).
actions = self._summarize_background_review_actions(
getattr(review_agent, "_session_messages", []),
messages_snapshot,
)
# and surface a compact summary to the user.
actions = []
for msg in getattr(review_agent, "_session_messages", []):
if not isinstance(msg, dict) or msg.get("role") != "tool":
continue
try:
data = json.loads(msg.get("content", "{}"))
except (json.JSONDecodeError, TypeError):
continue
if not data.get("success"):
continue
message = data.get("message", "")
target = data.get("target", "")
if "created" in message.lower():
actions.append(message)
elif "updated" in message.lower():
actions.append(message)
elif "added" in message.lower() or (target and "add" in message.lower()):
label = "Memory" if target == "memory" else "User profile" if target == "user" else target
actions.append(f"{label} updated")
elif "Entry added" in message:
label = "Memory" if target == "memory" else "User profile" if target == "user" else target
actions.append(f"{label} updated")
elif "removed" in message.lower() or "replaced" in message.lower():
label = "Memory" if target == "memory" else "User profile" if target == "user" else target
actions.append(f"{label} updated")
if actions:
summary = " · ".join(dict.fromkeys(actions))
@@ -4474,69 +4347,25 @@ class AIAgent:
def _repair_tool_call(self, tool_name: str) -> str | None:
"""Attempt to repair a mismatched tool name before aborting.
Models sometimes emit variants of a tool name that differ only
in casing, separators, or class-like suffixes. Normalize
aggressively before falling back to fuzzy match:
1. Lowercase direct match.
2. Lowercase + hyphens/spaces -> underscores.
3. CamelCase -> snake_case (TodoTool -> todo_tool).
4. Strip trailing ``_tool`` / ``-tool`` / ``tool`` suffix that
Claude-style models sometimes tack on (TodoTool_tool ->
TodoTool -> Todo -> todo). Applied twice so double-tacked
suffixes like ``TodoTool_tool`` reduce all the way.
5. Fuzzy match (difflib, cutoff=0.7).
See #14784 for the original reports (TodoTool_tool, Patch_tool,
BrowserClick_tool were all returning "Unknown tool" before).
1. Try lowercase
2. Try normalized (lowercase + hyphens/spaces -> underscores)
3. Try fuzzy match (difflib, cutoff=0.7)
Returns the repaired name if found in valid_tool_names, else None.
"""
import re
from difflib import get_close_matches
if not tool_name:
return None
def _norm(s: str) -> str:
return s.lower().replace("-", "_").replace(" ", "_")
def _camel_snake(s: str) -> str:
return re.sub(r"(?<!^)(?=[A-Z])", "_", s).lower()
def _strip_tool_suffix(s: str) -> str | None:
lc = s.lower()
for suffix in ("_tool", "-tool", "tool"):
if lc.endswith(suffix):
return s[: -len(suffix)].rstrip("_-")
return None
# Cheap fast-paths first — these cover the common case.
# 1. Lowercase
lowered = tool_name.lower()
if lowered in self.valid_tool_names:
return lowered
normalized = _norm(tool_name)
# 2. Normalize
normalized = lowered.replace("-", "_").replace(" ", "_")
if normalized in self.valid_tool_names:
return normalized
# Build the full candidate set for class-like emissions.
cands: set[str] = {tool_name, lowered, normalized, _camel_snake(tool_name)}
# Strip trailing tool-suffix up to twice — TodoTool_tool needs it.
for _ in range(2):
extra: set[str] = set()
for c in cands:
stripped = _strip_tool_suffix(c)
if stripped:
extra.add(stripped)
extra.add(_norm(stripped))
extra.add(_camel_snake(stripped))
cands |= extra
for c in cands:
if c and c in self.valid_tool_names:
return c
# Fuzzy match as last resort.
# 3. Fuzzy match
matches = get_close_matches(lowered, self.valid_tool_names, n=1, cutoff=0.7)
if matches:
return matches[0]
@@ -4628,7 +4457,7 @@ class AIAgent:
return False
@staticmethod
def _build_keepalive_http_client(base_url: str = "") -> Any:
def _build_keepalive_http_client() -> Any:
try:
import httpx as _httpx
import socket as _socket
@@ -4642,9 +4471,8 @@ class AIAgent:
_sock_opts.append((_socket.IPPROTO_TCP, _socket.TCP_KEEPALIVE, 30))
# When a custom transport is provided, httpx won't auto-read proxy
# from env vars (allow_env_proxies = trust_env and transport is None).
# Explicitly read proxy settings while still honoring NO_PROXY for
# loopback / local endpoints such as a locally hosted sub2api.
_proxy = _get_proxy_for_base_url(base_url)
# Explicitly read proxy settings to ensure HTTP_PROXY/HTTPS_PROXY work.
_proxy = _get_proxy_from_env()
return _httpx.Client(
transport=_httpx.HTTPTransport(socket_options=_sock_opts),
proxy=_proxy,
@@ -4702,7 +4530,7 @@ class AIAgent:
if k in {"api_key", "base_url", "default_headers", "timeout", "http_client"}
}
if "http_client" not in safe_kwargs:
keepalive_http = self._build_keepalive_http_client(base_url)
keepalive_http = self._build_keepalive_http_client()
if keepalive_http is not None:
safe_kwargs["http_client"] = keepalive_http
client = GeminiNativeClient(**safe_kwargs)
@@ -4731,7 +4559,7 @@ class AIAgent:
# Tests in ``tests/run_agent/test_create_openai_client_reuse.py`` and
# ``tests/run_agent/test_sequential_chats_live.py`` pin this invariant.
if "http_client" not in client_kwargs:
keepalive_http = self._build_keepalive_http_client(client_kwargs.get("base_url", ""))
keepalive_http = self._build_keepalive_http_client()
if keepalive_http is not None:
client_kwargs["http_client"] = keepalive_http
client = OpenAI(**client_kwargs)
@@ -4942,7 +4770,7 @@ class AIAgent:
def _close_request_openai_client(self, client: Any, *, reason: str) -> None:
self._close_openai_client(client, reason=reason, shared=False)
def _run_codex_stream(self, api_kwargs: dict, client: Any = None, on_first_delta: callable = None):
def _run_codex_stream(self, api_kwargs: dict, client: Any = None, on_first_delta: Callable[..., Any] = None):
"""Execute one streaming Responses API request and return the final response."""
import httpx as _httpx
@@ -5207,41 +5035,6 @@ class AIAgent:
return True
def _try_refresh_copilot_client_credentials(self) -> bool:
"""Refresh Copilot credentials and rebuild the shared OpenAI client.
Copilot tokens may remain the same string across refreshes (`gh auth token`
returns a stable OAuth token in many setups). We still rebuild the client
on 401 so retries recover from stale auth/client state without requiring
a session restart.
"""
if self.provider != "copilot":
return False
try:
from hermes_cli.copilot_auth import resolve_copilot_token
new_token, token_source = resolve_copilot_token()
except Exception as exc:
logger.debug("Copilot credential refresh failed: %s", exc)
return False
if not isinstance(new_token, str) or not new_token.strip():
return False
new_token = new_token.strip()
self.api_key = new_token
self._client_kwargs["api_key"] = self.api_key
self._client_kwargs["base_url"] = self.base_url
self._apply_client_headers_for_base_url(str(self.base_url or ""))
if not self._replace_primary_openai_client(reason="copilot_credential_refresh"):
return False
logger.info("Copilot credentials refreshed from %s", token_source)
return True
def _try_refresh_anthropic_client_credentials(self) -> bool:
if self.api_mode != "anthropic_messages" or not hasattr(self, "_anthropic_api_key"):
return False
@@ -5295,8 +5088,6 @@ class AIAgent:
self._client_kwargs["default_headers"] = dict(_OR_HEADERS)
elif base_url_host_matches(base_url, "ai-gateway.vercel.sh"):
self._client_kwargs["default_headers"] = dict(_AI_GATEWAY_HEADERS)
elif base_url_host_matches(base_url, "api.routermint.com"):
self._client_kwargs["default_headers"] = _routermint_headers()
elif base_url_host_matches(base_url, "api.githubcopilot.com"):
from hermes_cli.models import copilot_default_headers
@@ -5375,7 +5166,7 @@ class AIAgent:
effective_reason = FailoverReason.billing
elif status_code == 429:
effective_reason = FailoverReason.rate_limit
elif status_code in (401, 403):
elif status_code == 401:
effective_reason = FailoverReason.auth
if effective_reason == FailoverReason.billing:
@@ -5678,7 +5469,7 @@ class AIAgent:
)
def _interruptible_streaming_api_call(
self, api_kwargs: dict, *, on_first_delta: callable = None
self, api_kwargs: dict, *, on_first_delta: Callable[..., Any] = None
):
"""Streaming variant of _interruptible_api_call for real-time token delivery.
@@ -6494,7 +6285,7 @@ class AIAgent:
# ── Provider fallback ──────────────────────────────────────────────────
def _try_activate_fallback(self, reason: "FailoverReason | None" = None) -> bool:
def _try_activate_fallback(self) -> bool:
"""Switch to the next fallback model/provider in the chain.
Called when the current model is failing after retries. Swaps the
@@ -6506,15 +6297,6 @@ class AIAgent:
auth resolution and client construction no duplicated providerkey
mappings.
"""
if reason in (FailoverReason.rate_limit, FailoverReason.billing):
# Only start cooldown when leaving the primary provider. If we're
# already on a fallback and chain-switching, the primary wasn't the
# source of the 429 so the cooldown should not be reset/extended.
fallback_already_active = bool(getattr(self, "_fallback_activated", False))
current_provider = (getattr(self, "provider", "") or "").strip().lower()
primary_provider = ((self._primary_runtime or {}).get("provider") or "").strip().lower()
if (not fallback_already_active) or (primary_provider and current_provider == primary_provider):
self._rate_limited_until = time.monotonic() + 60
if self._fallback_index >= len(self._fallback_chain):
return False
@@ -6651,15 +6433,11 @@ class AIAgent:
# Without this, compression decisions use the primary model's
# context window (e.g. 200K) instead of the fallback's (e.g. 32K),
# causing oversized sessions to overflow the fallback.
# Also pass _config_context_length so the explicit config override
# (model.context_length in config.yaml) is respected — without this,
# the fallback activation drops to 128K even when config says 204800.
if hasattr(self, 'context_compressor') and self.context_compressor:
from agent.model_metadata import get_model_context_length
fb_context_length = get_model_context_length(
self.model, base_url=self.base_url,
api_key=self.api_key, provider=self.provider,
config_context_length=getattr(self, "_config_context_length", None),
)
self.context_compressor.update_model(
model=self.model,
@@ -6698,9 +6476,6 @@ class AIAgent:
if not self._fallback_activated:
return False
if getattr(self, "_rate_limited_until", 0) > time.monotonic():
return False # primary still in rate-limit cooldown, stay on fallback
rt = self._primary_runtime
try:
# ── Core runtime state ──
@@ -7633,12 +7408,15 @@ class AIAgent:
_flush_temperature = _fixed_temp
else:
_flush_temperature = 0.3
_flush_llm_kwargs: dict = {}
if _flush_temperature is not None:
_flush_llm_kwargs["temperature"] = _flush_temperature
try:
response = _call_llm(
task="flush_memories",
messages=api_messages,
tools=[memory_tool_def],
temperature=_flush_temperature,
**_flush_llm_kwargs,
max_tokens=5120,
# timeout resolved from auxiliary.flush_memories.timeout config
)
@@ -7772,12 +7550,7 @@ class AIAgent:
except Exception:
pass
try:
compressed = self.context_compressor.compress(messages, current_tokens=approx_tokens, focus_topic=focus_topic)
except TypeError:
# Plugin context engine with strict signature that doesn't accept
# focus_topic — fall back to calling without it.
compressed = self.context_compressor.compress(messages, current_tokens=approx_tokens)
compressed = self.context_compressor.compress(messages, current_tokens=approx_tokens, focus_topic=focus_topic)
todo_snapshot = self._todo_store.format_for_injection()
if todo_snapshot:
@@ -8852,9 +8625,9 @@ class AIAgent:
self,
user_message: str,
system_message: str = None,
conversation_history: List[Dict[str, Any]] = None,
conversation_history: List[Dict[str, Any]] | None = None,
task_id: str = None,
stream_callback: Optional[callable] = None,
stream_callback: Optional[Callable[..., Any]] = None,
persist_user_message: Optional[str] = None,
) -> Dict[str, Any]:
"""
@@ -9492,13 +9265,12 @@ class AIAgent:
api_start_time = time.time()
retry_count = 0
max_retries = self._api_max_retries
max_retries = 3
primary_recovery_attempted = False
max_compression_attempts = 3
codex_auth_retry_attempted=False
anthropic_auth_retry_attempted=False
nous_auth_retry_attempted=False
copilot_auth_retry_attempted=False
thinking_sig_retry_attempted = False
has_retried_429 = False
restart_with_compressed_messages = False
@@ -9656,47 +9428,28 @@ class AIAgent:
response_invalid = True
error_details.append("response is None")
else:
# Provider returned a terminal failure (e.g. quota exhaustion).
# Treat as invalid so the fallback chain is triggered instead of
# letting the error bubble up outside the retry/fallback loop.
_codex_resp_status = str(getattr(response, "status", "") or "").strip().lower()
if _codex_resp_status in {"failed", "cancelled"}:
_codex_error_obj = getattr(response, "error", None)
_codex_error_msg = (
_codex_error_obj.get("message") if isinstance(_codex_error_obj, dict)
else str(_codex_error_obj) if _codex_error_obj
else f"Responses API returned status '{_codex_resp_status}'"
# output_text fallback: stream backfill may have failed
# but normalize can still recover from output_text
_out_text = getattr(response, "output_text", None)
_out_text_stripped = _out_text.strip() if isinstance(_out_text, str) else ""
if _out_text_stripped:
logger.debug(
"Codex response.output is empty but output_text is present "
"(%d chars); deferring to normalization.",
len(_out_text_stripped),
)
logging.warning(
"Codex response status='%s' (error=%s). Routing to fallback. %s",
_codex_resp_status, _codex_error_msg,
self._client_log_context(),
else:
_resp_status = getattr(response, "status", None)
_resp_incomplete = getattr(response, "incomplete_details", None)
logger.warning(
"Codex response.output is empty after stream backfill "
"(status=%s, incomplete_details=%s, model=%s). %s",
_resp_status, _resp_incomplete,
getattr(response, "model", None),
f"api_mode={self.api_mode} provider={self.provider}",
)
response_invalid = True
error_details.append(f"response.status={_codex_resp_status}: {_codex_error_msg}")
else:
# output_text fallback: stream backfill may have failed
# but normalize can still recover from output_text
_out_text = getattr(response, "output_text", None)
_out_text_stripped = _out_text.strip() if isinstance(_out_text, str) else ""
if _out_text_stripped:
logger.debug(
"Codex response.output is empty but output_text is present "
"(%d chars); deferring to normalization.",
len(_out_text_stripped),
)
else:
_resp_status = getattr(response, "status", None)
_resp_incomplete = getattr(response, "incomplete_details", None)
logger.warning(
"Codex response.output is empty after stream backfill "
"(status=%s, incomplete_details=%s, model=%s). %s",
_resp_status, _resp_incomplete,
getattr(response, "model", None),
f"api_mode={self.api_mode} provider={self.provider}",
)
response_invalid = True
error_details.append("response.output is empty")
error_details.append("response.output is empty")
elif self.api_mode == "anthropic_messages":
_tv = self._get_transport()
if not _tv.validate_response(response):
@@ -10462,15 +10215,6 @@ class AIAgent:
print(f"{self.log_prefix} • Check credits / billing: https://portal.nousresearch.com")
print(f"{self.log_prefix} • Verify stored credentials: {_dhh}/auth.json")
print(f"{self.log_prefix} • Switch providers temporarily: /model <model> --provider openrouter")
if (
self.provider == "copilot"
and status_code == 401
and not copilot_auth_retry_attempted
):
copilot_auth_retry_attempted = True
if self._try_refresh_copilot_client_credentials():
self._vprint(f"{self.log_prefix}🔐 Copilot credentials refreshed after 401. Retrying request...")
continue
if (
self.api_mode == "anthropic_messages"
and status_code == 401
@@ -10487,7 +10231,7 @@ class AIAgent:
auth_method = "Bearer (OAuth/setup-token)" if _is_oauth_token(key) else "x-api-key (API key)"
print(f"{self.log_prefix}🔐 Anthropic 401 — authentication failed.")
print(f"{self.log_prefix} Auth method: {auth_method}")
print(f"{self.log_prefix} Token prefix: {key[:12]}..." if key and len(key) > 12 else f"{self.log_prefix} Token: (empty or short)")
print(f"{self.log_prefix} Token prefix: {str(key)[:12]}..." if key and len(str(key)) > 12 else f"{self.log_prefix} Token: (empty or short)")
print(f"{self.log_prefix} Troubleshooting:")
from hermes_constants import display_hermes_home as _dhh_fn
_dhh = _dhh_fn()
@@ -10670,14 +10414,14 @@ class AIAgent:
)
if is_rate_limited and self._fallback_index < len(self._fallback_chain):
# Don't eagerly fallback if credential pool rotation may
# still recover. See _pool_may_recover_from_rate_limit
# for the single-credential-pool exception. Fixes #11314.
pool_may_recover = _pool_may_recover_from_rate_limit(
self._credential_pool
)
# still recover. The pool's retry-then-rotate cycle needs
# at least one more attempt to fire — jumping to a fallback
# provider here short-circuits it.
pool = self._credential_pool
pool_may_recover = pool is not None and pool.has_available()
if not pool_may_recover:
self._emit_status("⚠️ Rate limited — switching to fallback provider...")
if self._try_activate_fallback(reason=classified.reason):
if self._try_activate_fallback():
retry_count = 0
compression_attempts = 0
primary_recovery_attempted = False
@@ -10825,30 +10569,9 @@ class AIAgent:
# Error is about the INPUT being too large — reduce context_length.
# Try to parse the actual limit from the error message
parsed_limit = parse_context_limit_from_error(error_msg)
_provider_lower = (getattr(self, "provider", "") or "").lower()
_base_lower = (getattr(self, "base_url", "") or "").rstrip("/").lower()
is_minimax_provider = (
_provider_lower in {"minimax", "minimax-cn"}
or _base_lower.startswith((
"https://api.minimax.io/anthropic",
"https://api.minimaxi.com/anthropic",
))
)
minimax_delta_only_overflow = (
is_minimax_provider
and parsed_limit is None
and "context window exceeds limit (" in error_msg
)
if parsed_limit and parsed_limit < old_ctx:
new_ctx = parsed_limit
self._vprint(f"{self.log_prefix}Context limit detected from API: {new_ctx:,} tokens (was {old_ctx:,})", force=True)
elif minimax_delta_only_overflow:
new_ctx = old_ctx
self._vprint(
f"{self.log_prefix}Provider reported overflow amount only; "
f"keeping context_length at {old_ctx:,} tokens and compressing.",
force=True,
)
self._vprint(f"{self.log_prefix}⚠️ Context limit detected from API: {new_ctx:,} tokens (was {old_ctx:,})", force=True)
else:
# Step down to the next probe tier
new_ctx = get_next_probe_tier(old_ctx)
@@ -10930,26 +10653,9 @@ class AIAgent:
# already accounts for 413, 429, 529 (transient), context
# overflow, and generic-400 heuristics. Local validation
# errors (ValueError, TypeError) are programming bugs.
# Exclude UnicodeEncodeError — it's a ValueError subclass
# but is handled separately by the surrogate sanitization
# path above. Exclude json.JSONDecodeError — also a
# ValueError subclass, but it indicates a transient
# provider/network failure (malformed response body,
# truncated stream, routing layer corruption), not a
# local programming bug, and should be retried (#14782).
is_local_validation_error = (
isinstance(api_error, (ValueError, TypeError))
and not isinstance(
api_error, (UnicodeEncodeError, json.JSONDecodeError)
)
# ssl.SSLError (and its subclass SSLCertVerificationError)
# inherits from OSError *and* ValueError via Python MRO,
# so the isinstance(ValueError) check above would
# misclassify a TLS transport failure as a local
# programming bug and abort without retrying. Exclude
# ssl.SSLError explicitly so the error classifier's
# retryable=True mapping takes effect instead.
and not isinstance(api_error, ssl.SSLError)
and not isinstance(api_error, UnicodeEncodeError)
)
is_client_error = (
is_local_validation_error
@@ -11869,7 +11575,7 @@ class AIAgent:
messages.append(assistant_msg)
if reasoning_text:
reasoning_preview = reasoning_text[:500] + "..." if len(reasoning_text) > 500 else reasoning_text
reasoning_preview = str(reasoning_text)[:500] + "..." if len(str(reasoning_text)) > 500 else reasoning_text
logger.warning(
"Reasoning-only response (no visible content) "
"after exhausting retries and fallback. "
@@ -12208,7 +11914,7 @@ class AIAgent:
return result
def chat(self, message: str, stream_callback: Optional[callable] = None) -> str:
def chat(self, message: str, stream_callback: Optional[Callable[..., Any]] = None) -> str:
"""
Simple chat interface that returns just the final response.
+9 -5
View File
@@ -20,9 +20,13 @@ Usage:
python batch_runner.py --dataset_file=data.jsonl --batch_size=10 --run_name=my_run --distribution=image_gen
"""
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import json
import logging
import os
import time
from pathlib import Path
from typing import List, Dict, Any, Optional, Tuple
@@ -1126,7 +1130,7 @@ def main(
num_workers: int = 4,
resume: bool = False,
verbose: bool = False,
list_distributions: bool = False,
show_distributions: bool = False,
ephemeral_system_prompt: str = None,
log_prefix_chars: int = 100,
providers_allowed: str = None,
@@ -1154,7 +1158,7 @@ def main(
num_workers (int): Number of parallel worker processes (default: 4)
resume (bool): Resume from checkpoint if run was interrupted (default: False)
verbose (bool): Enable verbose logging (default: False)
list_distributions (bool): List available toolset distributions and exit
show_distributions (bool): List available toolset distributions and exit
ephemeral_system_prompt (str): System prompt used during agent execution but NOT saved to trajectories (optional)
log_prefix_chars (int): Number of characters to show in log previews for tool calls/responses (default: 20)
providers_allowed (str): Comma-separated list of OpenRouter providers to allow (e.g. "anthropic,openai")
@@ -1186,10 +1190,10 @@ def main(
--prefill_messages_file=configs/prefill_opus.json
# List available distributions
python batch_runner.py --list_distributions
python batch_runner.py --show_distributions
"""
# Handle list distributions
if list_distributions:
if show_distributions:
from toolset_distributions import print_distribution_info
print("📊 Available Toolset Distributions")
-377
View File
@@ -1,377 +0,0 @@
# Compression Eval — Design
Status: proposal. Nothing under `scripts/compression_eval/` runs in CI.
This is an offline tool authors run before merging prompt or algorithm
changes to `agent/context_compressor.py`.
## Why
We tune the compressor prompt and the `_template_sections` checklist by
hand, ship, and wait for the next real session to notice regressions.
There is no automated check that a prompt edit still preserves file
paths, error messages, or the active task across a compression.
Factory.ai's December 2025 write-up
(https://factory.ai/news/evaluating-compression) describes a
probe-based eval that scores compressed state on six dimensions. The
methodology is the valuable part — the benchmarks in the post are a
marketing piece. We adopt the methodology and discard the scoreboard.
## Goal
Given a real session transcript and a bank of probe questions that
exercise what the transcript contained, answer:
1. After `ContextCompressor.compress()` runs, can the agent still
answer each probe correctly from the compressed state?
2. Which of the six dimensions (accuracy, context awareness, artifact
trail, completeness, continuity, instruction following) is the
prompt weakest on?
3. Does a prompt change improve or regress any dimension vs. the
previous run?
That is the full scope. No "compare against OpenAI and Anthropic"
benchmarking, no public scoreboard, no marketing claims.
## Non-goals
- Not a pytest. Requires API credentials, costs money, takes minutes
per fixture, and output is LLM-graded and non-deterministic.
- Not part of `scripts/run_tests.sh`. Not invoked by CI.
- Not a replacement for the existing compressor unit tests in
`tests/agent/test_context_compressor.py` — those stay as the
structural / boundary / tool-pair-sanitization guard.
- Not a general trajectory eval. Scoped to context compaction only.
## Where it lives
```
scripts/compression_eval/
├── DESIGN.md # this file
├── README.md # how to run, cost expectations, caveats
├── run_eval.py # entry point (fire CLI, like sample_and_compress.py)
├── scrub_fixtures.py # regenerate fixtures from ~/.hermes/sessions/*.jsonl
├── fixtures/ # checked-in scrubbed session snapshots
│ ├── feature-impl-context-priority.json
│ ├── debug-session-feishu-id-model.json
│ └── config-build-competitive-scouts.json
├── probes/ # probe banks paired with fixtures
│ └── <fixture>.probes.json
├── rubric.py # grading prompt + dimension definitions
├── grader.py # judge-model call + score parsing
├── compressor_driver.py # thin wrapper over ContextCompressor
└── results/ # gitignored; timestamped output per run
└── .gitkeep
```
`scripts/` is the right home: offline tooling, no CI involvement,
precedent already set by `sample_and_compress.py`,
`contributor_audit.py`, `discord-voice-doctor.py`.
`environments/` is for Atropos RL training environments — wrong shape.
`tests/` is hermetic and credential-free — incompatible with a
probe-based eval that needs a judge model.
## Fixture format
A fixture is a single compressed-enough conversation captured from a
real session. Stored as JSON (pretty-printed, reviewable in PRs):
```json
{
"name": "401-debug",
"description": "178-turn session debugging a 401 on /api/auth/login",
"model": "anthropic/claude-sonnet-4.6",
"context_length": 200000,
"messages": [
{"role": "system", "content": "..."},
{"role": "user", "content": "..."},
{"role": "assistant", "content": "...", "tool_calls": [...]},
{"role": "tool", "tool_call_id": "...", "content": "..."}
],
"notes": "Captured 2026-04-24 from session 20260424_*.jsonl; \
PII scrubbed; secrets redacted via redact_sensitive_text."
}
```
### Sourcing fixtures
Fixtures are scrubbed snapshots of real sessions from the
maintainer's `~/.hermes/sessions/*.jsonl` store, generated
reproducibly by `scrub_fixtures.py` in this directory. Re-run the
scrubber with `python3 scripts/compression_eval/scrub_fixtures.py`
to regenerate them after a scrubber change.
Three shipped fixtures cover three different session shapes:
| Fixture | Source shape | Messages | Tokens (rough) | Tests |
|---|---|---|---|---|
| `feature-impl-context-priority` | investigate → patch → test → PR → merge | 75 | ~45k | continuation, artifact trail (2 files modified, 1 PR, ~16k skill_view in head) |
| `debug-session-feishu-id-model` | PR triage + upstream docs + decision | 59 | ~28k | recall (PR #, error shape), decision (outcome + reason), large PR diff blocks |
| `config-build-competitive-scouts` | iterative config: 11 cron jobs across 7 weekdays | 61 | ~26k | artifact trail (which jobs, which days), iterative-merge |
The `~26k-45k` token range is below the default 50%-of-200k
compression threshold, so the eval will always **force** a
`compress()` call rather than wait for the natural trigger. That is
the intended shape — we want a controlled single-shot compression so
score deltas are attributable to the prompt change, not to whether
the threshold happened to fire at the same boundary twice.
### Scrubber pipeline
`scrub_fixtures.py` applies, per message:
1. `agent.redact.redact_sensitive_text` — API keys, tokens,
connection strings
2. Username paths: `/home/teknium``/home/user`
3. Personal handles: all case variants of the maintainer name → `user`
4. Email addresses → `contributor@example.com`; git
`Author: Name <addr>` header lines normalised
5. `<REASONING_SCRATCHPAD>...</REASONING_SCRATCHPAD>` and
`<think>...</think>` stripped from assistant content
6. Messaging-platform user mentions (`<@123456>`, `<@***>`) →
`<@user>`
7. First user message paraphrased to remove personal voice;
subsequent user turns kept verbatim after the redactions above
8. System prompt replaced with a generic public-safe placeholder so
we don't check in the maintainer's tuned soul/skills/memory system
block
9. Orphan empty-assistant messages (artifact of scratchpad-only
turns) and trailing tool messages with no matching assistant are
dropped
10. Tool outputs preserved verbatim. An earlier iteration truncated
> 2KB tool bodies to keep fixture JSON small, but that defeats
the purpose: real sessions have 30KB `skill_view` dumps, 10KB
`read_file` outputs, 5KB `web_extract` bodies — compression has
to handle them. Truncation is now a no-op; the pipeline note
remains in `scrubbing_passes` for audit trail clarity.
Before every fixture PR: grep the fixture for PII patterns. An
audit is embedded at the bottom of the scrubber as comments.
**Fixtures must stay small.** Target <200 KB per fixture, <500 KB
total for the directory. Current total: ~410 KB across three
fixtures. Larger sessions are truncated with a
`truncated_to: <index>` field in the fixture header so the cut is
reviewable.
## Probe format
One probe file per fixture, so reviewers can see the question bank
evolve alongside the fixture:
```json
{
"fixture": "401-debug",
"probes": [
{
"id": "recall-error-code",
"type": "recall",
"question": "What was the original error code and endpoint?",
"expected_facts": ["401", "/api/auth/login"]
},
{
"id": "artifact-files-modified",
"type": "artifact",
"question": "Which files have been modified in this session?",
"expected_facts": ["session_store.py", "redis_client.py"]
},
{
"id": "continuation-next-step",
"type": "continuation",
"question": "What should we do next?",
"expected_facts": ["re-run the integration tests", "restart the worker"]
},
{
"id": "decision-redis-approach",
"type": "decision",
"question": "What did we decide about the Redis issue?",
"expected_facts": ["switch to redis-py 5.x", "pooled connection"]
}
]
}
```
The four probe types come directly from Factory's methodology:
**recall, artifact, continuation, decision**. `expected_facts` gives
the grader concrete anchors instead of relying purely on LLM taste.
Authoring a probe bank is a one-time cost per fixture. 8-12 probes per
fixture is the target — enough to cover all four types, few enough to
grade in under a minute at reasonable cost.
## Grading
Each probe gets scored 0-5 on **six dimensions** (Factory's six):
| Dimension | What it measures |
|-----------------------|-----------------------------------------------------|
| accuracy | File paths, function names, error codes are correct |
| context_awareness | Reflects current state, not a mid-session snapshot |
| artifact_trail | Knows which files were read / modified / created |
| completeness | Addresses all parts of the probe |
| continuity | Agent can continue without re-fetching |
| instruction_following | Probe answered in the requested form |
Grading is done by a single judge-model call per probe with a
deterministic rubric prompt (see `rubric.py`). The rubric includes the
`expected_facts` list so the judge has a concrete anchor. Default
judge model: whatever the user has configured as their main model at
run time (same resolution path as `auxiliary_client.call_llm`). A
`--judge-model` flag allows overriding for consistency across runs.
Non-determinism caveat: two runs of the same fixture will produce
different scores. A single run means nothing. Report medians over
N=3 runs by default, and require an improvement of >=0.3 on any
dimension before claiming a prompt change is a win.
## Run flow
```
python scripts/compression_eval/run_eval.py [OPTIONS]
```
Options (fire-style, mirroring `sample_and_compress.py`):
| Flag | Default | Purpose |
|------------------------|------------|-------------------------------------------|
| `--fixtures` | all | Comma-separated fixture names |
| `--runs` | 3 | Runs per fixture (for median) |
| `--judge-model` | auto | Override judge model |
| `--compressor-model` | auto | Override model used *inside* the compressor |
| `--label` | timestamp | Subdirectory under `results/` |
| `--focus-topic` | none | Pass-through to `compress(focus_topic=)` |
| `--compare-to` | none | Path to a previous run for diff output |
Steps per fixture per run:
1. Load fixture JSON and probe bank.
2. Construct a `ContextCompressor` against the fixture's model.
3. Call `compressor.compress(messages)` — capture the compressed
message list.
4. For each probe: ask the judge model to role-play as the continuing
agent with only the compressed state, then grade the answer on the
six dimensions using `rubric.py`.
5. Write a per-run JSON to `results/<label>/<fixture>-run-N.json`.
6. After all runs, emit a markdown summary to
`results/<label>/report.md`.
## Report format
Pasted verbatim into PR descriptions that touch the compressor:
```
## Compression eval — label 2026-04-25_13-40-02
Main model: anthropic/claude-sonnet-4.6 Judge: same
3 runs per fixture, medians reported.
| Fixture | Accuracy | Context | Artifact | Complete | Continuity | Instruction | Overall |
|----------------|----------|---------|----------|----------|------------|-------------|---------|
| 401-debug | 4.1 | 4.0 | 2.5 | 4.3 | 3.8 | 5.0 | 3.95 |
| pr-review | 3.9 | 3.8 | 3.1 | 4.2 | 3.9 | 5.0 | 3.98 |
| feature-impl | 4.0 | 3.9 | 2.9 | 4.1 | 4.0 | 5.0 | 3.98 |
Per-probe misses (score < 3.0):
- 401-debug / artifact-files-modified: 1.7 — summary dropped redis_client.py
- pr-review / decision-auth-rewrite: 2.3 — outcome captured, reasoning dropped
```
## Cost expectations
Dominated by the judge calls. For 3 fixtures × 10 probes × 3 runs =
90 judge calls per eval run. On Claude Sonnet 4.6 that is roughly
$0.50-$1.50 per full eval depending on probe length. The compressor
itself makes 1 call per fixture × 3 runs = 9 additional calls.
**This is not a check to run after every commit.** It is a
before-merge check for PRs that touch:
- `agent/context_compressor.py` — any change to `_template_sections`,
`_generate_summary`, or `compress()`.
- `agent/auxiliary_client.py` — when changing how compression tasks
are routed.
- `agent/prompt_builder.py` — when the compression-note phrasing
changes.
## Open questions (to resolve before implementing)
1. **Fixture scrubbing: manual or scripted?** A scripted scrub that
also replaces project names / hostnames would lower the cost of
contributing a new fixture. Risk: over-aggressive replacement
destroys the signal the probe depends on. Propose: start manual,
add scripted helpers once we have 3 fixtures and know the common
PII shapes.
2. **Judge model selection.** Factory uses GPT-5.2. We can't pin one
— user's main model changes. Options: (a) grade with main model
(cheap, inconsistent across users), (b) require a specific judge
model (e.g. `claude-sonnet-4.6`), inconsistent for users without
access. Propose (a) with a `--judge-model` override, and make the
model name prominent in the report so comparisons across machines
are legible.
3. **Noise floor.** Before landing prompt changes, run the current
prompt N=10 times to measure per-dimension stddev. That tells us
the minimum delta to call a change significant. Suspect 0.2-0.3 on
a 0-5 scale. Decision deferred until after the first fixture is
landed.
4. **Iterative-merge coverage.** The real Factory-vs-Anthropic
difference is incremental merge vs. regenerate. A fixture that
only compresses once doesn't exercise our iterative path. Add a
fourth fixture that forces two compressions (manually chained),
with probes that test whether information from the first
compression survives the second. Deferred to a follow-up PR.
## Implementation status
This PR ships the full eval end-to-end:
- `scrub_fixtures.py` — reproducible scrubber
- `fixtures/` — three scrubbed session fixtures
- `probes/` — three probe banks (10-11 probes each, all four types)
- `rubric.py` — six-dimension grading rubric + judge-prompt builder + response parser
- `compressor_driver.py` — thin wrapper around `ContextCompressor` for forced single-shot compression
- `grader.py` — two-phase continuation + grading calls via OpenAI SDK
- `report.py` — markdown report renderer + `--compare-to` delta mode + per-run JSON dumper
- `run_eval.py` — entry point (`fire`-style CLI)
- `tests/scripts/test_compression_eval.py` — 33 unit tests covering rubric parsing, report rendering, fixture/probe loading, and a PII smoke test on the fixtures (LLM paths not tested — they require credentials and are exercised by the eval itself)
### Noise floor — one empirical data point
A single same-inputs re-run of `debug-session-feishu-id-model`
(compressor + judge = `openai/gpt-5.4-mini` via Nous Portal,
runs=1) produced:
- Run A overall: 3.25
- Run B overall: 3.17 (delta -0.08)
Individual dimensions varied by up to ±0.5 between the two runs on
single-run medians. This confirms DESIGN.md's "< 0.3 is noise"
guidance is the right order of magnitude for a single-run
comparison. With `runs=3` default, per-dimension variance should
tighten; noise-floor measurement at N=10 is still a useful
follow-up to calibrate precisely.
## Open follow-ups (not blocking this PR)
1. **Iterative-merge fixture** — our actual compression win over
"regenerate from scratch" approaches is only exercised when
`_previous_summary` is re-used on a second compression. None of
the three shipped fixtures force two compressions. The natural
basis is `config-build-competitive-scouts` (already iterative by
shape); splitting it at the Monday/Tuesday boundary would force
the second compression to merge rather than regenerate.
2. **Noise-floor precision** — run the current prompt N=10 times
against one fixture to pin down per-dimension stddev and publish
the numbers in README.
3. **Scripted scrubber helpers** — the current scrubber is manual
per-fixture. A helper that identifies candidate sessions to
scrub (by shape or by keyword) would lower the cost of adding
fixture #4+.
4. **Judge model selection policy** — current code uses whatever
the user passes as `--judge-model` (default: same as compressor).
Pinning the judge across users would stabilise cross-machine
comparisons, at the cost of blocking users without access to
the pinned model.
-110
View File
@@ -1,110 +0,0 @@
# compression_eval
Offline eval harness for `agent/context_compressor.py`. Runs a real
conversation transcript through the compressor, then probes the
compressed state with targeted questions graded on six dimensions.
## When to run
Before merging changes to:
- `agent/context_compressor.py` — any change to `_template_sections`,
`_generate_summary`, `compress()`, or its boundary logic
- `agent/auxiliary_client.py` — when changing how compression tasks
are routed
- `agent/prompt_builder.py` — when the compression-note phrasing
changes
## Not for CI
This harness makes real model calls (compressor + continuation +
judge = ~3 calls per probe × probes per fixture × runs). Costs ~$0.50
to ~$1.50 per full run depending on models, takes minutes, is
LLM-graded (non-deterministic). It lives in `scripts/` and is
invoked by hand. `tests/` and `scripts/run_tests.sh` do not touch it.
`tests/scripts/test_compression_eval.py` covers the non-LLM code
paths (rubric parsing, report rendering, fixture/probe loading, PII
smoke check on the checked-in fixtures) and DOES run in CI.
## Usage
```bash
# Run all three fixtures, 3 runs each, with your configured provider
python3 scripts/compression_eval/run_eval.py
# Faster iteration — one fixture, one run
python3 scripts/compression_eval/run_eval.py \
--fixtures=debug-session-feishu-id-model --runs=1
# Pin a cheap model for both compression + judge (recommended)
python3 scripts/compression_eval/run_eval.py \
--compressor-provider=nous --compressor-model=openai/gpt-5.4-mini \
--judge-provider=nous --judge-model=openai/gpt-5.4-mini \
--runs=3 --label=baseline
# After editing context_compressor.py, rerun with a new label and diff
python3 scripts/compression_eval/run_eval.py \
--compressor-provider=nous --compressor-model=openai/gpt-5.4-mini \
--judge-provider=nous --judge-model=openai/gpt-5.4-mini \
--runs=3 --label=my-prompt-tweak \
--compare-to=results/baseline
```
Results land in `results/<label>/report.md` and are intended to be
pasted verbatim into PR descriptions. `--compare-to` renders a delta
column per dimension so reviewers can see "did this actually help?"
at a glance.
Rule of thumb: dimension deltas below ±0.3 are within run-to-run
noise on `runs=3`. Publish a bigger N if you want tighter bounds.
## Fixtures
Three scrubbed session snapshots live under `fixtures/`:
- `feature-impl-context-priority.json` — 75 msgs, investigate →
patch → test → PR → merge
- `debug-session-feishu-id-model.json` — 59 msgs, PR triage +
upstream docs + decision
- `config-build-competitive-scouts.json` — 61 msgs, iterative
config accumulation (11 cron jobs)
Regenerate them from the maintainer's `~/.hermes/sessions/*.jsonl`
with `python3 scripts/compression_eval/scrub_fixtures.py`. The
scrubber pipeline and PII-audit checklist are documented in
`DESIGN.md` under **Scrubber pipeline**.
## Probes
One probe bank per fixture under `probes/`, 10-11 probes each,
covering all four types: **recall**, **artifact**, **continuation**,
**decision**. Each probe carries an `expected_facts` list of concrete
anchors (PR numbers, file paths, error codes, commands run) that the
judge sees alongside the assistant's answer.
## How it scores
Six dimensions, 0-5 per probe:
| Dimension | What it measures |
|-----------------------|------------------------------------------------------|
| accuracy | File paths, function names, PR/issue numbers correct |
| context_awareness | Reflects current session state, not a snapshot |
| artifact_trail | Correctly enumerates files / commands / PRs |
| completeness | Addresses ALL parts of the probe |
| continuity | Next assistant could continue without re-fetching |
| instruction_following | Answer in the requested form |
Report renders medians across N runs; probes scoring below 3.0
overall surface in a separate section with the judge's specific
complaint noted inline.
## Related
- `agent/context_compressor.py` — the thing under test
- `tests/agent/test_context_compressor.py` — structural unit tests
that do run in CI
- `scripts/sample_and_compress.py` — the closest existing script in
shape (offline, credential-requiring, not in CI)
- `DESIGN.md` — full architecture + methodology + open follow-ups
@@ -1,114 +0,0 @@
"""Wraps ContextCompressor to run a single forced compression on a fixture.
The real agent loop checks ``should_compress()`` before calling ``compress()``.
Fixtures are intentionally sized below the 100k threshold so ``compress()``
runs in a controlled, single-shot mode score deltas attribute to the
prompt change, not to whether the threshold happened to fire at the same
boundary twice.
Resolves the provider for the compression call via the same path the real
agent uses (``hermes_cli.runtime_provider.resolve_runtime_provider``) so
behaviour matches production aside from being a single call.
"""
from __future__ import annotations
import sys
from pathlib import Path
from typing import Any, Dict, List, Optional
# Make sibling imports work whether invoked as a script or as a module.
_REPO_ROOT = Path(__file__).resolve().parents[2]
if str(_REPO_ROOT) not in sys.path:
sys.path.insert(0, str(_REPO_ROOT))
from agent.context_compressor import ( # noqa: E402
ContextCompressor,
estimate_messages_tokens_rough,
)
def run_compression(
*,
messages: List[Dict[str, Any]],
compressor_model: str,
compressor_provider: str,
compressor_base_url: str,
compressor_api_key: str,
compressor_api_mode: str,
context_length: int,
focus_topic: Optional[str] = None,
summary_model_override: Optional[str] = None,
) -> Dict[str, Any]:
"""Run a single forced compression pass over the fixture messages.
Returns a dict with:
- compressed_messages: the post-compression message list
- summary_text: the summary produced (extracted from the compressed head)
- pre_tokens, post_tokens: rough token counts before/after
- compression_ratio: 1 - (post/pre)
- pre_message_count, post_message_count
"""
compressor = ContextCompressor(
model=compressor_model,
threshold_percent=0.50,
protect_first_n=3,
protect_last_n=20,
summary_target_ratio=0.20,
quiet_mode=True,
summary_model_override=summary_model_override or "",
base_url=compressor_base_url,
api_key=compressor_api_key,
config_context_length=context_length,
provider=compressor_provider,
api_mode=compressor_api_mode,
)
pre_tokens = estimate_messages_tokens_rough(messages)
compressed = compressor.compress(
messages,
current_tokens=pre_tokens,
focus_topic=focus_topic,
)
post_tokens = estimate_messages_tokens_rough(compressed)
summary_text = _extract_summary_from_messages(compressed)
ratio = (1.0 - (post_tokens / pre_tokens)) if pre_tokens > 0 else 0.0
return {
"compressed_messages": compressed,
"summary_text": summary_text,
"pre_tokens": pre_tokens,
"post_tokens": post_tokens,
"compression_ratio": ratio,
"pre_message_count": len(messages),
"post_message_count": len(compressed),
}
_SUMMARY_MARKERS = (
"## Active Task",
"## Goal",
"## Completed Actions",
)
def _extract_summary_from_messages(messages: List[Dict[str, Any]]) -> str:
"""Find the structured summary block inside the compressed message list.
The compressor injects the summary as a user (or system-appended) message
near the head. We look for the section-header markers from
``_template_sections`` in ``agent/context_compressor.py``.
"""
for msg in messages:
content = msg.get("content")
if not isinstance(content, str):
if isinstance(content, list):
content = "\n".join(
p.get("text", "") for p in content if isinstance(p, dict)
)
else:
continue
if any(marker in content for marker in _SUMMARY_MARKERS):
return content
return ""

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