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6 Commits

Author SHA1 Message Date
alt-glitch fcf64d5283 fix(tests): accept unavailable_models kwarg in _prompt_model_selection mock 2026-04-07 16:41:11 -07:00
alt-glitch 8bbafdf3a6 fix(tests): fix update_check and telegram xdist failures
- test_update_check: replace patch("hermes_cli.banner.os.getenv") with
  monkeypatch.setenv("HERMES_HOME") — banner.py no longer imports os
  directly, it uses get_hermes_home() from hermes_constants.

- test_telegram_conflict/approval_buttons: provide real exception classes
  for telegram.error mock (NetworkError, TimedOut, BadRequest) so the
  except clause in connect() doesn't fail with "catching classes that do
  not inherit from BaseException" when xdist pollutes sys.modules.
2026-04-07 16:34:09 -07:00
alt-glitch 04ee0ec0bc fix(tests): replace patch.dict with monkeypatch to prevent env var leaks under xdist
patch.dict(os.environ) can leak TERMINAL_ENV across xdist workers,
causing test_code_execution tests to hit the Modal remote path.
2026-04-07 16:30:22 -07:00
alt-glitch b7903bca41 fix: add missing tool_error imports after registry refactor 2026-04-07 16:18:21 -07:00
alt-glitch 20e94662cc Update tests.yml 2026-04-07 16:06:25 -07:00
alt-glitch 6ed3f9ca80 refactor: re-architect tests to mirror the codebase 2026-04-07 14:29:51 -07:00
227 changed files with 3278 additions and 19475 deletions
-8
View File
@@ -81,14 +81,6 @@
# HF_TOKEN=
# OPENCODE_GO_BASE_URL=https://opencode.ai/zen/go/v1 # Override default base URL
# =============================================================================
# LLM PROVIDER (Qwen OAuth)
# =============================================================================
# Qwen OAuth reuses your local Qwen CLI login (qwen auth qwen-oauth).
# No API key needed — credentials come from ~/.qwen/oauth_creds.json.
# Optional base URL override:
# HERMES_QWEN_BASE_URL=https://portal.qwen.ai/v1
# =============================================================================
# TOOL API KEYS
# =============================================================================
+4 -16
View File
@@ -8,9 +8,6 @@ on:
release:
types: [published]
permissions:
contents: read
concurrency:
group: docker-${{ github.ref }}
cancel-in-progress: true
@@ -20,29 +17,22 @@ jobs:
# Only run on the upstream repository, not on forks
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
timeout-minutes: 60
timeout-minutes: 30
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
submodules: recursive
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# Build amd64 only so we can `load` the image for smoke testing.
# `load: true` cannot export a multi-arch manifest to the local daemon.
# The multi-arch build follows on push to main / release.
- name: Build image (amd64, smoke test)
- name: Build image
uses: docker/build-push-action@v6
with:
context: .
file: Dockerfile
load: true
platforms: linux/amd64
tags: nousresearch/hermes-agent:test
cache-from: type=gha
cache-to: type=gha,mode=max
@@ -61,28 +51,26 @@ jobs:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Push multi-arch image (main branch)
- name: Push image (main branch)
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
uses: docker/build-push-action@v6
with:
context: .
file: Dockerfile
push: true
platforms: linux/amd64,linux/arm64
tags: |
nousresearch/hermes-agent:latest
nousresearch/hermes-agent:${{ github.sha }}
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Push multi-arch image (release)
- name: Push image (release)
if: github.event_name == 'release'
uses: docker/build-push-action@v6
with:
context: .
file: Dockerfile
push: true
platforms: linux/amd64,linux/arm64
tags: |
nousresearch/hermes-agent:latest
nousresearch/hermes-agent:${{ github.event.release.tag_name }}
+2 -2
View File
@@ -27,8 +27,8 @@ jobs:
with:
python-version: '3.11'
- name: Install ascii-guard
run: python -m pip install ascii-guard==2.3.0 pyyaml==6.0.3
- name: Install Python dependencies
run: python -m pip install ascii-guard pyyaml
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
+2 -2
View File
@@ -27,8 +27,8 @@ jobs:
timeout-minutes: 30
steps:
- uses: actions/checkout@v4
- uses: DeterminateSystems/nix-installer-action@ef8a148080ab6020fd15196c2084a2eea5ff2d25 # v22
- uses: DeterminateSystems/magic-nix-cache-action@565684385bcd71bad329742eefe8d12f2e765b39 # v13
- uses: DeterminateSystems/nix-installer-action@main
- uses: DeterminateSystems/magic-nix-cache-action@main
- name: Check flake
if: runner.os == 'Linux'
run: nix flake check --print-build-logs
-3
View File
@@ -1,8 +1,5 @@
FROM debian:13.4
# Disable Python stdout buffering to ensure logs are printed immediately
ENV PYTHONUNBUFFERED=1
# Install system dependencies in one layer, clear APT cache
RUN apt-get update && \
apt-get install -y --no-install-recommends \
-346
View File
@@ -1,346 +0,0 @@
# Hermes Agent v0.8.0 (v2026.4.8)
**Release Date:** April 8, 2026
> The intelligence release — background task auto-notifications, free MiMo v2 Pro on Nous Portal, live model switching across all platforms, self-optimized GPT/Codex guidance, native Google AI Studio, smart inactivity timeouts, approval buttons, MCP OAuth 2.1, and 209 merged PRs with 82 resolved issues.
---
## ✨ Highlights
- **Background Process Auto-Notifications (`notify_on_complete`)** — Background tasks can now automatically notify the agent when they finish. Start a long-running process (AI model training, test suites, deployments, builds) and the agent gets notified on completion — no polling needed. The agent can keep working on other things and pick up results when they land. ([#5779](https://github.com/NousResearch/hermes-agent/pull/5779))
- **Free Xiaomi MiMo v2 Pro on Nous Portal** — Nous Portal now supports the free-tier Xiaomi MiMo v2 Pro model for auxiliary tasks (compression, vision, summarization), with free-tier model gating and pricing display in model selection. ([#6018](https://github.com/NousResearch/hermes-agent/pull/6018), [#5880](https://github.com/NousResearch/hermes-agent/pull/5880))
- **Live Model Switching (`/model` Command)** — Switch models and providers mid-session from CLI, Telegram, Discord, Slack, or any gateway platform. Aggregator-aware resolution keeps you on OpenRouter/Nous when possible, with automatic cross-provider fallback when needed. Interactive model pickers on Telegram and Discord with inline buttons. ([#5181](https://github.com/NousResearch/hermes-agent/pull/5181), [#5742](https://github.com/NousResearch/hermes-agent/pull/5742))
- **Self-Optimized GPT/Codex Tool-Use Guidance** — The agent diagnosed and patched 5 failure modes in GPT and Codex tool calling through automated behavioral benchmarking, dramatically improving reliability on OpenAI models. Includes execution discipline guidance and thinking-only prefill continuation for structured reasoning. ([#6120](https://github.com/NousResearch/hermes-agent/pull/6120), [#5414](https://github.com/NousResearch/hermes-agent/pull/5414), [#5931](https://github.com/NousResearch/hermes-agent/pull/5931))
- **Google AI Studio (Gemini) Native Provider** — Direct access to Gemini models through Google's AI Studio API. Includes automatic models.dev registry integration for real-time context length detection across any provider. ([#5577](https://github.com/NousResearch/hermes-agent/pull/5577))
- **Inactivity-Based Agent Timeouts** — Gateway and cron timeouts now track actual tool activity instead of wall-clock time. Long-running tasks that are actively working will never be killed — only truly idle agents time out. ([#5389](https://github.com/NousResearch/hermes-agent/pull/5389), [#5440](https://github.com/NousResearch/hermes-agent/pull/5440))
- **Approval Buttons on Slack & Telegram** — Dangerous command approval via native platform buttons instead of typing `/approve`. Slack gets thread context preservation; Telegram gets emoji reactions for approval status. ([#5890](https://github.com/NousResearch/hermes-agent/pull/5890), [#5975](https://github.com/NousResearch/hermes-agent/pull/5975))
- **MCP OAuth 2.1 PKCE + OSV Malware Scanning** — Full standards-compliant OAuth for MCP server authentication, plus automatic malware scanning of MCP extension packages via the OSV vulnerability database. ([#5420](https://github.com/NousResearch/hermes-agent/pull/5420), [#5305](https://github.com/NousResearch/hermes-agent/pull/5305))
- **Centralized Logging & Config Validation** — Structured logging to `~/.hermes/logs/` (agent.log + errors.log) with the `hermes logs` command for tailing and filtering. Config structure validation catches malformed YAML at startup before it causes cryptic failures. ([#5430](https://github.com/NousResearch/hermes-agent/pull/5430), [#5426](https://github.com/NousResearch/hermes-agent/pull/5426))
- **Plugin System Expansion** — Plugins can now register CLI subcommands, receive request-scoped API hooks with correlation IDs, prompt for required env vars during install, and hook into session lifecycle events (finalize/reset). ([#5295](https://github.com/NousResearch/hermes-agent/pull/5295), [#5427](https://github.com/NousResearch/hermes-agent/pull/5427), [#5470](https://github.com/NousResearch/hermes-agent/pull/5470), [#6129](https://github.com/NousResearch/hermes-agent/pull/6129))
- **Matrix Tier 1 & Platform Hardening** — Matrix gets reactions, read receipts, rich formatting, and room management. Discord adds channel controls and ignored channels. Signal gets full MEDIA: tag delivery. Mattermost gets file attachments. Comprehensive reliability fixes across all platforms. ([#5275](https://github.com/NousResearch/hermes-agent/pull/5275), [#5975](https://github.com/NousResearch/hermes-agent/pull/5975), [#5602](https://github.com/NousResearch/hermes-agent/pull/5602))
- **Security Hardening Pass** — Consolidated SSRF protections, timing attack mitigations, tar traversal prevention, credential leakage guards, cron path traversal hardening, and cross-session isolation. Terminal workdir sanitization across all backends. ([#5944](https://github.com/NousResearch/hermes-agent/pull/5944), [#5613](https://github.com/NousResearch/hermes-agent/pull/5613), [#5629](https://github.com/NousResearch/hermes-agent/pull/5629))
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- **Native Google AI Studio (Gemini) provider** with models.dev integration for automatic context length detection ([#5577](https://github.com/NousResearch/hermes-agent/pull/5577))
- **`/model` command — full provider+model system overhaul** — live switching across CLI and all gateway platforms with aggregator-aware resolution ([#5181](https://github.com/NousResearch/hermes-agent/pull/5181))
- **Interactive model picker for Telegram and Discord** — inline button-based model selection ([#5742](https://github.com/NousResearch/hermes-agent/pull/5742))
- **Nous Portal free-tier model gating** with pricing display in model selection ([#5880](https://github.com/NousResearch/hermes-agent/pull/5880))
- **Model pricing display** for OpenRouter and Nous Portal providers ([#5416](https://github.com/NousResearch/hermes-agent/pull/5416))
- **xAI (Grok) prompt caching** via `x-grok-conv-id` header ([#5604](https://github.com/NousResearch/hermes-agent/pull/5604))
- **Grok added to tool-use enforcement models** for direct xAI usage ([#5595](https://github.com/NousResearch/hermes-agent/pull/5595))
- **MiniMax TTS provider** (speech-2.8) ([#4963](https://github.com/NousResearch/hermes-agent/pull/4963))
- **Non-agentic model warning** — warns users when loading Hermes LLM models not designed for tool use ([#5378](https://github.com/NousResearch/hermes-agent/pull/5378))
- **Ollama Cloud auth, /model switch persistence**, and alias tab completion ([#5269](https://github.com/NousResearch/hermes-agent/pull/5269))
- **Preserve dots in OpenCode Go model names** (minimax-m2.7, glm-4.5, kimi-k2.5) ([#5597](https://github.com/NousResearch/hermes-agent/pull/5597))
- **MiniMax models 404 fix** — strip /v1 from Anthropic base URL for OpenCode Go ([#4918](https://github.com/NousResearch/hermes-agent/pull/4918))
- **Provider credential reset windows** honored in pooled failover ([#5188](https://github.com/NousResearch/hermes-agent/pull/5188))
- **OAuth token sync** between credential pool and credentials file ([#4981](https://github.com/NousResearch/hermes-agent/pull/4981))
- **Stale OAuth credentials** no longer block OpenRouter users on auto-detect ([#5746](https://github.com/NousResearch/hermes-agent/pull/5746))
- **Codex OAuth credential pool disconnect** + expired token import fix ([#5681](https://github.com/NousResearch/hermes-agent/pull/5681))
- **Codex pool entry sync** from `~/.codex/auth.json` on exhaustion — @GratefulDave ([#5610](https://github.com/NousResearch/hermes-agent/pull/5610))
- **Auxiliary client payment fallback** — retry with next provider on 402 ([#5599](https://github.com/NousResearch/hermes-agent/pull/5599))
- **Auxiliary client resolves named custom providers** and 'main' alias ([#5978](https://github.com/NousResearch/hermes-agent/pull/5978))
- **Use mimo-v2-pro** for non-vision auxiliary tasks on Nous free tier ([#6018](https://github.com/NousResearch/hermes-agent/pull/6018))
- **Vision auto-detection** tries main provider first ([#6041](https://github.com/NousResearch/hermes-agent/pull/6041))
- **Provider re-ordering and Quick Install** — @austinpickett ([#4664](https://github.com/NousResearch/hermes-agent/pull/4664))
- **Nous OAuth access_token** no longer used as inference API key — @SHL0MS ([#5564](https://github.com/NousResearch/hermes-agent/pull/5564))
- **HERMES_PORTAL_BASE_URL env var** respected during Nous login — @benbarclay ([#5745](https://github.com/NousResearch/hermes-agent/pull/5745))
- **Env var overrides** for Nous portal/inference URLs ([#5419](https://github.com/NousResearch/hermes-agent/pull/5419))
- **Z.AI endpoint auto-detect** via probe and cache ([#5763](https://github.com/NousResearch/hermes-agent/pull/5763))
- **MiniMax context lengths, model catalog, thinking guard, aux model, and config base_url** corrections ([#6082](https://github.com/NousResearch/hermes-agent/pull/6082))
- **Community provider/model resolution fixes** — salvaged 4 community PRs + MiniMax aux URL ([#5983](https://github.com/NousResearch/hermes-agent/pull/5983))
### Agent Loop & Conversation
- **Self-optimized GPT/Codex tool-use guidance** via automated behavioral benchmarking — agent self-diagnosed and patched 5 failure modes ([#6120](https://github.com/NousResearch/hermes-agent/pull/6120))
- **GPT/Codex execution discipline guidance** in system prompts ([#5414](https://github.com/NousResearch/hermes-agent/pull/5414))
- **Thinking-only prefill continuation** for structured reasoning responses ([#5931](https://github.com/NousResearch/hermes-agent/pull/5931))
- **Accept reasoning-only responses** without retries — set content to "(empty)" instead of infinite retry ([#5278](https://github.com/NousResearch/hermes-agent/pull/5278))
- **Jittered retry backoff** — exponential backoff with jitter for API retries ([#6048](https://github.com/NousResearch/hermes-agent/pull/6048))
- **Smart thinking block signature management** — preserve and manage Anthropic thinking signatures across turns ([#6112](https://github.com/NousResearch/hermes-agent/pull/6112))
- **Coerce tool call arguments** to match JSON Schema types — fixes models that send strings instead of numbers/booleans ([#5265](https://github.com/NousResearch/hermes-agent/pull/5265))
- **Save oversized tool results to file** instead of destructive truncation ([#5210](https://github.com/NousResearch/hermes-agent/pull/5210))
- **Sandbox-aware tool result persistence** ([#6085](https://github.com/NousResearch/hermes-agent/pull/6085))
- **Streaming fallback** improved after edit failures ([#6110](https://github.com/NousResearch/hermes-agent/pull/6110))
- **Codex empty-output gaps** covered in fallback + normalizer + auxiliary client ([#5724](https://github.com/NousResearch/hermes-agent/pull/5724), [#5730](https://github.com/NousResearch/hermes-agent/pull/5730), [#5734](https://github.com/NousResearch/hermes-agent/pull/5734))
- **Codex stream output backfill** from output_item.done events ([#5689](https://github.com/NousResearch/hermes-agent/pull/5689))
- **Stream consumer creates new message** after tool boundaries ([#5739](https://github.com/NousResearch/hermes-agent/pull/5739))
- **Codex validation aligned** with normalization for empty stream output ([#5940](https://github.com/NousResearch/hermes-agent/pull/5940))
- **Bridge tool-calls** in copilot-acp adapter ([#5460](https://github.com/NousResearch/hermes-agent/pull/5460))
- **Filter transcript-only roles** from chat-completions payload ([#4880](https://github.com/NousResearch/hermes-agent/pull/4880))
- **Context compaction failures fixed** on temperature-restricted models — @MadKangYu ([#5608](https://github.com/NousResearch/hermes-agent/pull/5608))
- **Sanitize tool_calls for all strict APIs** (Fireworks, Mistral, etc.) — @lumethegreat ([#5183](https://github.com/NousResearch/hermes-agent/pull/5183))
### Memory & Sessions
- **Supermemory memory provider** — new memory plugin with multi-container, search_mode, identity template, and env var override ([#5737](https://github.com/NousResearch/hermes-agent/pull/5737), [#5933](https://github.com/NousResearch/hermes-agent/pull/5933))
- **Shared thread sessions** by default — multi-user thread support across gateway platforms ([#5391](https://github.com/NousResearch/hermes-agent/pull/5391))
- **Subagent sessions linked to parent** and hidden from session list ([#5309](https://github.com/NousResearch/hermes-agent/pull/5309))
- **Profile-scoped memory isolation** and clone support ([#4845](https://github.com/NousResearch/hermes-agent/pull/4845))
- **Thread gateway user_id to memory plugins** for per-user scoping ([#5895](https://github.com/NousResearch/hermes-agent/pull/5895))
- **Honcho plugin drift overhaul** + plugin CLI registration system ([#5295](https://github.com/NousResearch/hermes-agent/pull/5295))
- **Honcho holographic prompt and trust score** rendering preserved ([#4872](https://github.com/NousResearch/hermes-agent/pull/4872))
- **Honcho doctor fix** — use recall_mode instead of memory_mode — @techguysimon ([#5645](https://github.com/NousResearch/hermes-agent/pull/5645))
- **RetainDB** — API routes, write queue, dialectic, agent model, file tools fixes ([#5461](https://github.com/NousResearch/hermes-agent/pull/5461))
- **Hindsight memory plugin overhaul** + memory setup wizard fixes ([#5094](https://github.com/NousResearch/hermes-agent/pull/5094))
- **mem0 API v2 compat**, prefetch context fencing, secret redaction ([#5423](https://github.com/NousResearch/hermes-agent/pull/5423))
- **mem0 env vars merged** with mem0.json instead of either/or ([#4939](https://github.com/NousResearch/hermes-agent/pull/4939))
- **Clean user message** used for all memory provider operations ([#4940](https://github.com/NousResearch/hermes-agent/pull/4940))
- **Silent memory flush failure** on /new and /resume fixed — @ryanautomated ([#5640](https://github.com/NousResearch/hermes-agent/pull/5640))
- **OpenViking atexit safety net** for session commit ([#5664](https://github.com/NousResearch/hermes-agent/pull/5664))
- **OpenViking tenant-scoping headers** for multi-tenant servers ([#4936](https://github.com/NousResearch/hermes-agent/pull/4936))
- **ByteRover brv query** runs synchronously before LLM call ([#4831](https://github.com/NousResearch/hermes-agent/pull/4831))
---
## 📱 Messaging Platforms (Gateway)
### Gateway Core
- **Inactivity-based agent timeout** — replaces wall-clock timeout with smart activity tracking; long-running active tasks never killed ([#5389](https://github.com/NousResearch/hermes-agent/pull/5389))
- **Approval buttons for Slack & Telegram** + Slack thread context preservation ([#5890](https://github.com/NousResearch/hermes-agent/pull/5890))
- **Live-stream /update output** + forward interactive prompts to user ([#5180](https://github.com/NousResearch/hermes-agent/pull/5180))
- **Infinite timeout support** + periodic notifications + actionable error messages ([#4959](https://github.com/NousResearch/hermes-agent/pull/4959))
- **Duplicate message prevention** — gateway dedup + partial stream guard ([#4878](https://github.com/NousResearch/hermes-agent/pull/4878))
- **Webhook delivery_info persistence** + full session id in /status ([#5942](https://github.com/NousResearch/hermes-agent/pull/5942))
- **Tool preview truncation** respects tool_preview_length in all/new progress modes ([#5937](https://github.com/NousResearch/hermes-agent/pull/5937))
- **Short preview truncation** restored for all/new tool progress modes ([#4935](https://github.com/NousResearch/hermes-agent/pull/4935))
- **Update-pending state** written atomically to prevent corruption ([#4923](https://github.com/NousResearch/hermes-agent/pull/4923))
- **Approval session key isolated** per turn ([#4884](https://github.com/NousResearch/hermes-agent/pull/4884))
- **Active-session guard bypass** for /approve, /deny, /stop, /new ([#4926](https://github.com/NousResearch/hermes-agent/pull/4926), [#5765](https://github.com/NousResearch/hermes-agent/pull/5765))
- **Typing indicator paused** during approval waits ([#5893](https://github.com/NousResearch/hermes-agent/pull/5893))
- **Caption check** uses exact line-by-line match instead of substring (all platforms) ([#5939](https://github.com/NousResearch/hermes-agent/pull/5939))
- **MEDIA: tags stripped** from streamed gateway messages ([#5152](https://github.com/NousResearch/hermes-agent/pull/5152))
- **MEDIA: tags extracted** from cron delivery before sending ([#5598](https://github.com/NousResearch/hermes-agent/pull/5598))
- **Profile-aware service units** + voice transcription cleanup ([#5972](https://github.com/NousResearch/hermes-agent/pull/5972))
- **Thread-safe PairingStore** with atomic writes — @CharlieKerfoot ([#5656](https://github.com/NousResearch/hermes-agent/pull/5656))
- **Sanitize media URLs** in base platform logs — @WAXLYY ([#5631](https://github.com/NousResearch/hermes-agent/pull/5631))
- **Reduce Telegram fallback IP activation log noise** — @MadKangYu ([#5615](https://github.com/NousResearch/hermes-agent/pull/5615))
- **Cron static method wrappers** to prevent self-binding ([#5299](https://github.com/NousResearch/hermes-agent/pull/5299))
- **Stale 'hermes login' replaced** with 'hermes auth' + credential removal re-seeding fix ([#5670](https://github.com/NousResearch/hermes-agent/pull/5670))
### Telegram
- **Group topics skill binding** for supergroup forum topics ([#4886](https://github.com/NousResearch/hermes-agent/pull/4886))
- **Emoji reactions** for approval status and notifications ([#5975](https://github.com/NousResearch/hermes-agent/pull/5975))
- **Duplicate message delivery prevented** on send timeout ([#5153](https://github.com/NousResearch/hermes-agent/pull/5153))
- **Command names sanitized** to strip invalid characters ([#5596](https://github.com/NousResearch/hermes-agent/pull/5596))
- **Per-platform disabled skills** respected in Telegram menu and gateway dispatch ([#4799](https://github.com/NousResearch/hermes-agent/pull/4799))
- **/approve and /deny** routed through running-agent guard ([#4798](https://github.com/NousResearch/hermes-agent/pull/4798))
### Discord
- **Channel controls** — ignored_channels and no_thread_channels config options ([#5975](https://github.com/NousResearch/hermes-agent/pull/5975))
- **Skills registered as native slash commands** via shared gateway logic ([#5603](https://github.com/NousResearch/hermes-agent/pull/5603))
- **/approve, /deny, /queue, /background, /btw** registered as native slash commands ([#4800](https://github.com/NousResearch/hermes-agent/pull/4800), [#5477](https://github.com/NousResearch/hermes-agent/pull/5477))
- **Unnecessary members intent** removed on startup + token lock leak fix ([#5302](https://github.com/NousResearch/hermes-agent/pull/5302))
### Slack
- **Thread engagement** — auto-respond in bot-started and mentioned threads ([#5897](https://github.com/NousResearch/hermes-agent/pull/5897))
- **mrkdwn in edit_message** + thread replies without @mentions ([#5733](https://github.com/NousResearch/hermes-agent/pull/5733))
### Matrix
- **Tier 1 feature parity** — reactions, read receipts, rich formatting, room management ([#5275](https://github.com/NousResearch/hermes-agent/pull/5275))
- **MATRIX_REQUIRE_MENTION and MATRIX_AUTO_THREAD** support ([#5106](https://github.com/NousResearch/hermes-agent/pull/5106))
- **Comprehensive reliability** — encrypted media, auth recovery, cron E2EE, Synapse compat ([#5271](https://github.com/NousResearch/hermes-agent/pull/5271))
- **CJK input, E2EE, and reconnect** fixes ([#5665](https://github.com/NousResearch/hermes-agent/pull/5665))
### Signal
- **Full MEDIA: tag delivery** — send_image_file, send_voice, and send_video implemented ([#5602](https://github.com/NousResearch/hermes-agent/pull/5602))
### Mattermost
- **File attachments** — set message type to DOCUMENT when post has file attachments — @nericervin ([#5609](https://github.com/NousResearch/hermes-agent/pull/5609))
### Feishu
- **Interactive card approval buttons** ([#6043](https://github.com/NousResearch/hermes-agent/pull/6043))
- **Reconnect and ACL** fixes ([#5665](https://github.com/NousResearch/hermes-agent/pull/5665))
### Webhooks
- **`{__raw__}` template token** and thread_id passthrough for forum topics ([#5662](https://github.com/NousResearch/hermes-agent/pull/5662))
---
## 🖥️ CLI & User Experience
### Interactive CLI
- **Defer response content** until reasoning block completes ([#5773](https://github.com/NousResearch/hermes-agent/pull/5773))
- **Ghost status-bar lines cleared** on terminal resize ([#4960](https://github.com/NousResearch/hermes-agent/pull/4960))
- **Normalise \r\n and \r line endings** in pasted text ([#4849](https://github.com/NousResearch/hermes-agent/pull/4849))
- **ChatConsole errors, curses scroll, skin-aware banner, git state** banner fixes ([#5974](https://github.com/NousResearch/hermes-agent/pull/5974))
- **Native Windows image paste** support ([#5917](https://github.com/NousResearch/hermes-agent/pull/5917))
- **--yolo and other flags** no longer silently dropped when placed before 'chat' subcommand ([#5145](https://github.com/NousResearch/hermes-agent/pull/5145))
### Setup & Configuration
- **Config structure validation** — detect malformed YAML at startup with actionable error messages ([#5426](https://github.com/NousResearch/hermes-agent/pull/5426))
- **Centralized logging** to `~/.hermes/logs/` — agent.log (INFO+), errors.log (WARNING+) with `hermes logs` command ([#5430](https://github.com/NousResearch/hermes-agent/pull/5430))
- **Docs links added** to setup wizard sections ([#5283](https://github.com/NousResearch/hermes-agent/pull/5283))
- **Doctor diagnostics** — sync provider checks, config migration, WAL and mem0 diagnostics ([#5077](https://github.com/NousResearch/hermes-agent/pull/5077))
- **Timeout debug logging** and user-facing diagnostics improved ([#5370](https://github.com/NousResearch/hermes-agent/pull/5370))
- **Reasoning effort unified** to config.yaml only ([#6118](https://github.com/NousResearch/hermes-agent/pull/6118))
- **Permanent command allowlist** loaded on startup ([#5076](https://github.com/NousResearch/hermes-agent/pull/5076))
- **`hermes auth remove`** now clears env-seeded credentials permanently ([#5285](https://github.com/NousResearch/hermes-agent/pull/5285))
- **Bundled skills synced to all profiles** during update ([#5795](https://github.com/NousResearch/hermes-agent/pull/5795))
- **`hermes update` no longer kills** freshly-restarted gateway service ([#5448](https://github.com/NousResearch/hermes-agent/pull/5448))
- **Subprocess.run() timeouts** added to all gateway CLI commands ([#5424](https://github.com/NousResearch/hermes-agent/pull/5424))
- **Actionable error message** when Codex refresh token is reused — @tymrtn ([#5612](https://github.com/NousResearch/hermes-agent/pull/5612))
- **Google-workspace skill scripts** can now run directly — @xinbenlv ([#5624](https://github.com/NousResearch/hermes-agent/pull/5624))
### Cron System
- **Inactivity-based cron timeout** — replaces wall-clock; active tasks run indefinitely ([#5440](https://github.com/NousResearch/hermes-agent/pull/5440))
- **Pre-run script injection** for data collection and change detection ([#5082](https://github.com/NousResearch/hermes-agent/pull/5082))
- **Delivery failure tracking** in job status ([#6042](https://github.com/NousResearch/hermes-agent/pull/6042))
- **Delivery guidance** in cron prompts — stops send_message thrashing ([#5444](https://github.com/NousResearch/hermes-agent/pull/5444))
- **MEDIA files delivered** as native platform attachments ([#5921](https://github.com/NousResearch/hermes-agent/pull/5921))
- **[SILENT] suppression** works anywhere in response — @auspic7 ([#5654](https://github.com/NousResearch/hermes-agent/pull/5654))
- **Cron path traversal** hardening ([#5147](https://github.com/NousResearch/hermes-agent/pull/5147))
---
## 🔧 Tool System
### Terminal & Execution
- **Execute_code on remote backends** — code execution now works on Docker, SSH, Modal, and other remote terminal backends ([#5088](https://github.com/NousResearch/hermes-agent/pull/5088))
- **Exit code context** for common CLI tools in terminal results — helps agent understand what went wrong ([#5144](https://github.com/NousResearch/hermes-agent/pull/5144))
- **Progressive subdirectory hint discovery** — agent learns project structure as it navigates ([#5291](https://github.com/NousResearch/hermes-agent/pull/5291))
- **notify_on_complete for background processes** — get notified when long-running tasks finish ([#5779](https://github.com/NousResearch/hermes-agent/pull/5779))
- **Docker env config** — explicit container environment variables via docker_env config ([#4738](https://github.com/NousResearch/hermes-agent/pull/4738))
- **Approval metadata included** in terminal tool results ([#5141](https://github.com/NousResearch/hermes-agent/pull/5141))
- **Workdir parameter sanitized** in terminal tool across all backends ([#5629](https://github.com/NousResearch/hermes-agent/pull/5629))
- **Detached process crash recovery** state corrected ([#6101](https://github.com/NousResearch/hermes-agent/pull/6101))
- **Agent-browser paths with spaces** preserved — @Vasanthdev2004 ([#6077](https://github.com/NousResearch/hermes-agent/pull/6077))
- **Portable base64 encoding** for image reading on macOS — @CharlieKerfoot ([#5657](https://github.com/NousResearch/hermes-agent/pull/5657))
### Browser
- **Switch managed browser provider** from Browserbase to Browser Use — @benbarclay ([#5750](https://github.com/NousResearch/hermes-agent/pull/5750))
- **Firecrawl cloud browser** provider — @alt-glitch ([#5628](https://github.com/NousResearch/hermes-agent/pull/5628))
- **JS evaluation** via browser_console expression parameter ([#5303](https://github.com/NousResearch/hermes-agent/pull/5303))
- **Windows browser** fixes ([#5665](https://github.com/NousResearch/hermes-agent/pull/5665))
### MCP
- **MCP OAuth 2.1 PKCE** — full standards-compliant OAuth client support ([#5420](https://github.com/NousResearch/hermes-agent/pull/5420))
- **OSV malware check** for MCP extension packages ([#5305](https://github.com/NousResearch/hermes-agent/pull/5305))
- **Prefer structuredContent over text** + no_mcp sentinel ([#5979](https://github.com/NousResearch/hermes-agent/pull/5979))
- **Unknown toolsets warning suppressed** for MCP server names ([#5279](https://github.com/NousResearch/hermes-agent/pull/5279))
### Web & Files
- **.zip document support** + auto-mount cache dirs into remote backends ([#4846](https://github.com/NousResearch/hermes-agent/pull/4846))
- **Redact query secrets** in send_message errors — @WAXLYY ([#5650](https://github.com/NousResearch/hermes-agent/pull/5650))
### Delegation
- **Credential pool sharing** + workspace path hints for subagents ([#5748](https://github.com/NousResearch/hermes-agent/pull/5748))
### ACP (VS Code / Zed / JetBrains)
- **Aggregate ACP improvements** — auth compat, protocol fixes, command ads, delegation, SSE events ([#5292](https://github.com/NousResearch/hermes-agent/pull/5292))
---
## 🧩 Skills Ecosystem
### Skills System
- **Skill config interface** — skills can declare required config.yaml settings, prompted during setup, injected at load time ([#5635](https://github.com/NousResearch/hermes-agent/pull/5635))
- **Plugin CLI registration system** — plugins register their own CLI subcommands without touching main.py ([#5295](https://github.com/NousResearch/hermes-agent/pull/5295))
- **Request-scoped API hooks** with tool call correlation IDs for plugins ([#5427](https://github.com/NousResearch/hermes-agent/pull/5427))
- **Session lifecycle hooks** — on_session_finalize and on_session_reset for CLI + gateway ([#6129](https://github.com/NousResearch/hermes-agent/pull/6129))
- **Prompt for required env vars** during plugin install — @kshitijk4poor ([#5470](https://github.com/NousResearch/hermes-agent/pull/5470))
- **Plugin name validation** — reject names that resolve to plugins root ([#5368](https://github.com/NousResearch/hermes-agent/pull/5368))
- **pre_llm_call plugin context** moved to user message to preserve prompt cache ([#5146](https://github.com/NousResearch/hermes-agent/pull/5146))
### New & Updated Skills
- **popular-web-designs** — 54 production website design systems ([#5194](https://github.com/NousResearch/hermes-agent/pull/5194))
- **p5js creative coding** — @SHL0MS ([#5600](https://github.com/NousResearch/hermes-agent/pull/5600))
- **manim-video** — mathematical and technical animations — @SHL0MS ([#4930](https://github.com/NousResearch/hermes-agent/pull/4930))
- **llm-wiki** — Karpathy's LLM Wiki skill ([#5635](https://github.com/NousResearch/hermes-agent/pull/5635))
- **gitnexus-explorer** — codebase indexing and knowledge serving ([#5208](https://github.com/NousResearch/hermes-agent/pull/5208))
- **research-paper-writing** — AI-Scientist & GPT-Researcher patterns — @SHL0MS ([#5421](https://github.com/NousResearch/hermes-agent/pull/5421))
- **blogwatcher** updated to JulienTant's fork ([#5759](https://github.com/NousResearch/hermes-agent/pull/5759))
- **claude-code skill** comprehensive rewrite v2.0 + v2.2 ([#5155](https://github.com/NousResearch/hermes-agent/pull/5155), [#5158](https://github.com/NousResearch/hermes-agent/pull/5158))
- **Code verification skills** consolidated into one ([#4854](https://github.com/NousResearch/hermes-agent/pull/4854))
- **Manim CE reference docs** expanded — geometry, animations, LaTeX — @leotrs ([#5791](https://github.com/NousResearch/hermes-agent/pull/5791))
- **Manim-video references** — design thinking, updaters, paper explainer, decorations, production quality — @SHL0MS ([#5588](https://github.com/NousResearch/hermes-agent/pull/5588), [#5408](https://github.com/NousResearch/hermes-agent/pull/5408))
---
## 🔒 Security & Reliability
### Security Hardening
- **Consolidated security** — SSRF protections, timing attack mitigations, tar traversal prevention, credential leakage guards ([#5944](https://github.com/NousResearch/hermes-agent/pull/5944))
- **Cross-session isolation** + cron path traversal hardening ([#5613](https://github.com/NousResearch/hermes-agent/pull/5613))
- **Workdir parameter sanitized** in terminal tool across all backends ([#5629](https://github.com/NousResearch/hermes-agent/pull/5629))
- **Approval 'once' session escalation** prevented + cron delivery platform validation ([#5280](https://github.com/NousResearch/hermes-agent/pull/5280))
- **Profile-scoped Google Workspace OAuth tokens** protected ([#4910](https://github.com/NousResearch/hermes-agent/pull/4910))
### Reliability
- **Aggressive worktree and branch cleanup** to prevent accumulation ([#6134](https://github.com/NousResearch/hermes-agent/pull/6134))
- **O(n²) catastrophic backtracking** in redact regex fixed — 100x improvement on large outputs ([#4962](https://github.com/NousResearch/hermes-agent/pull/4962))
- **Runtime stability fixes** across core, web, delegate, and browser tools ([#4843](https://github.com/NousResearch/hermes-agent/pull/4843))
- **API server streaming fix** + conversation history support ([#5977](https://github.com/NousResearch/hermes-agent/pull/5977))
- **OpenViking API endpoint paths** and response parsing corrected ([#5078](https://github.com/NousResearch/hermes-agent/pull/5078))
---
## 🐛 Notable Bug Fixes
- **9 community bugfixes salvaged** — gateway, cron, deps, macOS launchd in one batch ([#5288](https://github.com/NousResearch/hermes-agent/pull/5288))
- **Batch core bug fixes** — model config, session reset, alias fallback, launchctl, delegation, atomic writes ([#5630](https://github.com/NousResearch/hermes-agent/pull/5630))
- **Batch gateway/platform fixes** — matrix E2EE, CJK input, Windows browser, Feishu reconnect + ACL ([#5665](https://github.com/NousResearch/hermes-agent/pull/5665))
- **Stale test skips removed**, regex backtracking, file search bug, and test flakiness ([#4969](https://github.com/NousResearch/hermes-agent/pull/4969))
- **Nix flake** — read version, regen uv.lock, add hermes_logging — @alt-glitch ([#5651](https://github.com/NousResearch/hermes-agent/pull/5651))
- **Lowercase variable redaction** regression tests ([#5185](https://github.com/NousResearch/hermes-agent/pull/5185))
---
## 🧪 Testing
- **57 failing CI tests repaired** across 14 files ([#5823](https://github.com/NousResearch/hermes-agent/pull/5823))
- **Test suite re-architecture** + CI failure fixes — @alt-glitch ([#5946](https://github.com/NousResearch/hermes-agent/pull/5946))
- **Codebase-wide lint cleanup** — unused imports, dead code, and inefficient patterns ([#5821](https://github.com/NousResearch/hermes-agent/pull/5821))
- **browser_close tool removed** — auto-cleanup handles it ([#5792](https://github.com/NousResearch/hermes-agent/pull/5792))
---
## 📚 Documentation
- **Comprehensive documentation audit** — fix stale info, expand thin pages, add depth ([#5393](https://github.com/NousResearch/hermes-agent/pull/5393))
- **40+ discrepancies fixed** between documentation and codebase ([#5818](https://github.com/NousResearch/hermes-agent/pull/5818))
- **13 features documented** from last week's PRs ([#5815](https://github.com/NousResearch/hermes-agent/pull/5815))
- **Guides section overhaul** — fix existing + add 3 new tutorials ([#5735](https://github.com/NousResearch/hermes-agent/pull/5735))
- **Salvaged 4 docs PRs** — docker setup, post-update validation, local LLM guide, signal-cli install ([#5727](https://github.com/NousResearch/hermes-agent/pull/5727))
- **Discord configuration reference** ([#5386](https://github.com/NousResearch/hermes-agent/pull/5386))
- **Community FAQ entries** for common workflows and troubleshooting ([#4797](https://github.com/NousResearch/hermes-agent/pull/4797))
- **WSL2 networking guide** for local model servers ([#5616](https://github.com/NousResearch/hermes-agent/pull/5616))
- **Honcho CLI reference** + plugin CLI registration docs ([#5308](https://github.com/NousResearch/hermes-agent/pull/5308))
- **Obsidian Headless setup** for servers in llm-wiki ([#5660](https://github.com/NousResearch/hermes-agent/pull/5660))
- **Hermes Mod visual skin editor** added to skins page ([#6095](https://github.com/NousResearch/hermes-agent/pull/6095))
---
## 👥 Contributors
### Core
- **@teknium1** — 179 PRs
### Top Community Contributors
- **@SHL0MS** (7 PRs) — p5js creative coding skill, manim-video skill + 5 reference expansions, research-paper-writing, Nous OAuth fix, manim font fix
- **@alt-glitch** (3 PRs) — Firecrawl cloud browser provider, test re-architecture + CI fixes, Nix flake fixes
- **@benbarclay** (2 PRs) — Browser Use managed provider switch, Nous portal base URL fix
- **@CharlieKerfoot** (2 PRs) — macOS portable base64 encoding, thread-safe PairingStore
- **@WAXLYY** (2 PRs) — send_message secret redaction, gateway media URL sanitization
- **@MadKangYu** (2 PRs) — Telegram log noise reduction, context compaction fix for temperature-restricted models
### All Contributors
@alt-glitch, @austinpickett, @auspic7, @benbarclay, @CharlieKerfoot, @GratefulDave, @kshitijk4poor, @leotrs, @lumethegreat, @MadKangYu, @nericervin, @ryanautomated, @SHL0MS, @techguysimon, @tymrtn, @Vasanthdev2004, @WAXLYY, @xinbenlv
---
**Full Changelog**: [v2026.4.3...v2026.4.8](https://github.com/NousResearch/hermes-agent/compare/v2026.4.3...v2026.4.8)
+18 -144
View File
@@ -163,17 +163,6 @@ def _is_oauth_token(key: str) -> bool:
return True
def _normalize_base_url_text(base_url) -> str:
"""Normalize SDK/base transport URL values to a plain string for inspection.
Some client objects expose ``base_url`` as an ``httpx.URL`` instead of a raw
string. Provider/auth detection should accept either shape.
"""
if not base_url:
return ""
return str(base_url).strip()
def _is_third_party_anthropic_endpoint(base_url: str | None) -> bool:
"""Return True for non-Anthropic endpoints using the Anthropic Messages API.
@@ -181,10 +170,9 @@ def _is_third_party_anthropic_endpoint(base_url: str | None) -> bool:
with their own API keys via x-api-key, not Anthropic OAuth tokens. OAuth
detection should be skipped for these endpoints.
"""
normalized = _normalize_base_url_text(base_url)
if not normalized:
if not base_url:
return False # No base_url = direct Anthropic API
normalized = normalized.rstrip("/").lower()
normalized = base_url.rstrip("/").lower()
if "anthropic.com" in normalized:
return False # Direct Anthropic API — OAuth applies
return True # Any other endpoint is a third-party proxy
@@ -194,13 +182,12 @@ def _requires_bearer_auth(base_url: str | None) -> bool:
"""Return True for Anthropic-compatible providers that require Bearer auth.
Some third-party /anthropic endpoints implement Anthropic's Messages API but
require Authorization: Bearer *** of Anthropic's native x-api-key header.
require Authorization: Bearer instead of Anthropic's native x-api-key header.
MiniMax's global and China Anthropic-compatible endpoints follow this pattern.
"""
normalized = _normalize_base_url_text(base_url)
if not normalized:
if not base_url:
return False
normalized = normalized.rstrip("/").lower()
normalized = base_url.rstrip("/").lower()
return normalized.startswith(("https://api.minimax.io/anthropic", "https://api.minimaxi.com/anthropic"))
@@ -216,14 +203,13 @@ def build_anthropic_client(api_key: str, base_url: str = None):
)
from httpx import Timeout
normalized_base_url = _normalize_base_url_text(base_url)
kwargs = {
"timeout": Timeout(timeout=900.0, connect=10.0),
}
if normalized_base_url:
kwargs["base_url"] = normalized_base_url
if base_url:
kwargs["base_url"] = base_url
if _requires_bearer_auth(normalized_base_url):
if _requires_bearer_auth(base_url):
# Some Anthropic-compatible providers (e.g. MiniMax) expect the API key in
# Authorization: Bearer even for regular API keys. Route those endpoints
# through auth_token so the SDK sends Bearer auth instead of x-api-key.
@@ -956,18 +942,12 @@ def _convert_content_to_anthropic(content: Any) -> Any:
def convert_messages_to_anthropic(
messages: List[Dict],
base_url: str | None = None,
) -> Tuple[Optional[Any], List[Dict]]:
"""Convert OpenAI-format messages to Anthropic format.
Returns (system_prompt, anthropic_messages).
System messages are extracted since Anthropic takes them as a separate param.
system_prompt is a string or list of content blocks (when cache_control present).
When *base_url* is provided and points to a third-party Anthropic-compatible
endpoint, all thinking block signatures are stripped. Signatures are
Anthropic-proprietary — third-party endpoints cannot validate them and will
reject them with HTTP 400 "Invalid signature in thinking block".
"""
system = None
result = []
@@ -1122,15 +1102,7 @@ def convert_messages_to_anthropic(
curr_content = [{"type": "text", "text": curr_content}]
fixed[-1]["content"] = prev_content + curr_content
else:
# Consecutive assistant messages — merge text content.
# Drop thinking blocks from the *second* message: their
# signature was computed against a different turn boundary
# and becomes invalid once merged.
if isinstance(m["content"], list):
m["content"] = [
b for b in m["content"]
if not (isinstance(b, dict) and b.get("type") in ("thinking", "redacted_thinking"))
]
# Consecutive assistant messages — merge text content
prev_blocks = fixed[-1]["content"]
curr_blocks = m["content"]
if isinstance(prev_blocks, list) and isinstance(curr_blocks, list):
@@ -1148,79 +1120,6 @@ def convert_messages_to_anthropic(
fixed.append(m)
result = fixed
# ── Thinking block signature management ──────────────────────────
# Anthropic signs thinking blocks against the full turn content.
# Any upstream mutation (context compression, session truncation,
# orphan stripping, message merging) invalidates the signature,
# causing HTTP 400 "Invalid signature in thinking block".
#
# Signatures are Anthropic-proprietary. Third-party endpoints
# (MiniMax, Azure AI Foundry, self-hosted proxies) cannot validate
# them and will reject them outright. When targeting a third-party
# endpoint, strip ALL thinking/redacted_thinking blocks from every
# assistant message — the third-party will generate its own
# thinking blocks if it supports extended thinking.
#
# For direct Anthropic (strategy following clawdbot/OpenClaw):
# 1. Strip thinking/redacted_thinking from all assistant messages
# EXCEPT the last one — preserves reasoning continuity on the
# current tool-use chain while avoiding stale signature errors.
# 2. Downgrade unsigned thinking blocks (no signature) to text —
# Anthropic can't validate them and will reject them.
# 3. Strip cache_control from thinking/redacted_thinking blocks —
# cache markers can interfere with signature validation.
_THINKING_TYPES = frozenset(("thinking", "redacted_thinking"))
_is_third_party = _is_third_party_anthropic_endpoint(base_url)
last_assistant_idx = None
for i in range(len(result) - 1, -1, -1):
if result[i].get("role") == "assistant":
last_assistant_idx = i
break
for idx, m in enumerate(result):
if m.get("role") != "assistant" or not isinstance(m.get("content"), list):
continue
if _is_third_party or idx != last_assistant_idx:
# Third-party endpoint: strip ALL thinking blocks from every
# assistant message — signatures are Anthropic-proprietary.
# Direct Anthropic: strip from non-latest assistant messages only.
stripped = [
b for b in m["content"]
if not (isinstance(b, dict) and b.get("type") in _THINKING_TYPES)
]
m["content"] = stripped or [{"type": "text", "text": "(thinking elided)"}]
else:
# Latest assistant on direct Anthropic: keep signed thinking
# blocks for reasoning continuity; downgrade unsigned ones to
# plain text.
new_content = []
for b in m["content"]:
if not isinstance(b, dict) or b.get("type") not in _THINKING_TYPES:
new_content.append(b)
continue
if b.get("type") == "redacted_thinking":
# Redacted blocks use 'data' for the signature payload
if b.get("data"):
new_content.append(b)
# else: drop — no data means it can't be validated
elif b.get("signature"):
# Signed thinking block — keep it
new_content.append(b)
else:
# Unsigned thinking — downgrade to text so it's not lost
thinking_text = b.get("thinking", "")
if thinking_text:
new_content.append({"type": "text", "text": thinking_text})
m["content"] = new_content or [{"type": "text", "text": "(empty)"}]
# Strip cache_control from any remaining thinking/redacted_thinking
# blocks — cache markers interfere with signature validation.
for b in m["content"]:
if isinstance(b, dict) and b.get("type") in _THINKING_TYPES:
b.pop("cache_control", None)
return system, result
@@ -1234,53 +1133,28 @@ def build_anthropic_kwargs(
is_oauth: bool = False,
preserve_dots: bool = False,
context_length: Optional[int] = None,
base_url: str | None = None,
) -> Dict[str, Any]:
"""Build kwargs for anthropic.messages.create().
Naming note — two distinct concepts, easily confused:
max_tokens = OUTPUT token cap for a single response.
Anthropic's API calls this "max_tokens" but it only
limits the *output*. Anthropic's own native SDK
renamed it "max_output_tokens" for clarity.
context_length = TOTAL context window (input tokens + output tokens).
The API enforces: input_tokens + max_tokens ≤ context_length.
Stored on the ContextCompressor; reduced on overflow errors.
When *max_tokens* is None the model's native output ceiling is used
(e.g. 128K for Opus 4.6, 64K for Sonnet 4.6).
When *context_length* is provided and the model's native output ceiling
exceeds it (e.g. a local endpoint with an 8K window), the output cap is
clamped to context_length 1. This only kicks in for unusually small
context windows; for full-size models the native output cap is always
smaller than the context window so no clamping happens.
NOTE: this clamping does not account for prompt size — if the prompt is
large, Anthropic may still reject the request. The caller must detect
"max_tokens too large given prompt" errors and retry with a smaller cap
(see parse_available_output_tokens_from_error + _ephemeral_max_output_tokens).
When *max_tokens* is None, the model's native output limit is used
(e.g. 128K for Opus 4.6, 64K for Sonnet 4.6). If *context_length*
is provided, the effective limit is clamped so it doesn't exceed
the context window.
When *is_oauth* is True, applies Claude Code compatibility transforms:
system prompt prefix, tool name prefixing, and prompt sanitization.
When *preserve_dots* is True, model name dots are not converted to hyphens
(for Alibaba/DashScope anthropic-compatible endpoints: qwen3.5-plus).
When *base_url* points to a third-party Anthropic-compatible endpoint,
thinking block signatures are stripped (they are Anthropic-proprietary).
"""
system, anthropic_messages = convert_messages_to_anthropic(messages, base_url=base_url)
system, anthropic_messages = convert_messages_to_anthropic(messages)
anthropic_tools = convert_tools_to_anthropic(tools) if tools else []
model = normalize_model_name(model, preserve_dots=preserve_dots)
# effective_max_tokens = output cap for this call (≠ total context window)
effective_max_tokens = max_tokens or _get_anthropic_max_output(model)
# Clamp output cap to fit inside the total context window.
# Only matters for small custom endpoints where context_length < native
# output ceiling. For standard Anthropic models context_length (e.g.
# 200K) is always larger than the output ceiling (e.g. 128K), so this
# branch is not taken.
# Clamp to context window if the user set a lower context_length
# (e.g. custom endpoint with limited capacity).
if context_length and effective_max_tokens > context_length:
effective_max_tokens = max(context_length - 1, 1)
@@ -1350,9 +1224,9 @@ def build_anthropic_kwargs(
# Map reasoning_config to Anthropic's thinking parameter.
# Claude 4.6 models use adaptive thinking + output_config.effort.
# Older models use manual thinking with budget_tokens.
# Haiku and MiniMax models do NOT support extended thinking — skip entirely.
# Haiku models do NOT support extended thinking at all — skip entirely.
if reasoning_config and isinstance(reasoning_config, dict):
if reasoning_config.get("enabled") is not False and "haiku" not in model.lower() and "minimax" not in model.lower():
if reasoning_config.get("enabled") is not False and "haiku" not in model.lower():
effort = str(reasoning_config.get("effort", "medium")).lower()
budget = THINKING_BUDGET.get(effort, 8000)
if _supports_adaptive_thinking(model):
+52 -209
View File
@@ -59,48 +59,13 @@ from hermes_constants import OPENROUTER_BASE_URL
logger = logging.getLogger(__name__)
_PROVIDER_ALIASES = {
"google": "gemini",
"google-gemini": "gemini",
"google-ai-studio": "gemini",
"glm": "zai",
"z-ai": "zai",
"z.ai": "zai",
"zhipu": "zai",
"kimi": "kimi-coding",
"moonshot": "kimi-coding",
"minimax-china": "minimax-cn",
"minimax_cn": "minimax-cn",
"claude": "anthropic",
"claude-code": "anthropic",
}
def _normalize_aux_provider(provider: Optional[str], *, for_vision: bool = False) -> str:
normalized = (provider or "auto").strip().lower()
if normalized.startswith("custom:"):
suffix = normalized.split(":", 1)[1].strip()
if not suffix:
return "custom"
normalized = suffix if not for_vision else "custom"
if normalized == "codex":
return "openai-codex"
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()
if main_prov and main_prov not in ("auto", "main", ""):
return main_prov
return "custom"
return _PROVIDER_ALIASES.get(normalized, normalized)
# Default auxiliary models for direct API-key providers (cheap/fast for side tasks)
_API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
"gemini": "gemini-3-flash-preview",
"zai": "glm-4.5-flash",
"kimi-coding": "kimi-k2-turbo-preview",
"minimax": "MiniMax-M2.7",
"minimax-cn": "MiniMax-M2.7",
"minimax": "MiniMax-M2.7-highspeed",
"minimax-cn": "MiniMax-M2.7-highspeed",
"anthropic": "claude-haiku-4-5-20251001",
"ai-gateway": "google/gemini-3-flash",
"opencode-zen": "gemini-3-flash",
@@ -127,7 +92,6 @@ auxiliary_is_nous: bool = False
_OPENROUTER_MODEL = "google/gemini-3-flash-preview"
_NOUS_MODEL = "google/gemini-3-flash-preview"
_NOUS_FREE_TIER_VISION_MODEL = "xiaomi/mimo-v2-omni"
_NOUS_FREE_TIER_AUX_MODEL = "xiaomi/mimo-v2-pro"
_NOUS_DEFAULT_BASE_URL = "https://inference-api.nousresearch.com/v1"
_ANTHROPIC_DEFAULT_BASE_URL = "https://api.anthropic.com"
_AUTH_JSON_PATH = get_hermes_home() / "auth.json"
@@ -141,23 +105,6 @@ _CODEX_AUX_MODEL = "gpt-5.2-codex"
_CODEX_AUX_BASE_URL = "https://chatgpt.com/backend-api/codex"
def _to_openai_base_url(base_url: str) -> str:
"""Normalize an Anthropic-style base URL to OpenAI-compatible format.
Some providers (MiniMax, MiniMax-CN) expose an ``/anthropic`` endpoint for
the Anthropic Messages API and a separate ``/v1`` endpoint for OpenAI chat
completions. The auxiliary client uses the OpenAI SDK, so it must hit the
``/v1`` surface. Passing the raw ``inference_base_url`` causes requests to
land on ``/anthropic/chat/completions`` — a 404.
"""
url = str(base_url or "").strip().rstrip("/")
if url.endswith("/anthropic"):
rewritten = url[: -len("/anthropic")] + "/v1"
logger.debug("Auxiliary client: rewrote base URL %s%s", url, rewritten)
return rewritten
return url
def _select_pool_entry(provider: str) -> Tuple[bool, Optional[Any]]:
"""Return (pool_exists_for_provider, selected_entry)."""
try:
@@ -629,19 +576,11 @@ def _nous_base_url() -> str:
def _read_codex_access_token() -> Optional[str]:
"""Read a valid, non-expired Codex OAuth access token from Hermes auth store.
If a credential pool exists but currently has no selectable runtime entry
(for example all pool slots are marked exhausted), fall back to the
profile's auth.json token instead of hard-failing. This keeps explicit
fallback-to-Codex working when the pool state is stale but the stored OAuth
token is still valid.
"""
"""Read a valid, non-expired Codex OAuth access token from Hermes auth store."""
pool_present, entry = _select_pool_entry("openai-codex")
if pool_present:
token = _pool_runtime_api_key(entry)
if token:
return token
return token or None
try:
from hermes_cli.auth import _read_codex_tokens
@@ -695,14 +634,12 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
if not api_key:
continue
base_url = _to_openai_base_url(
_pool_runtime_base_url(entry, pconfig.inference_base_url) or pconfig.inference_base_url
)
base_url = _pool_runtime_base_url(entry, pconfig.inference_base_url) or pconfig.inference_base_url
model = _API_KEY_PROVIDER_AUX_MODELS.get(provider_id, "default")
logger.debug("Auxiliary text client: %s (%s) via pool", pconfig.name, model)
extra = {}
if "api.kimi.com" in base_url.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.3"}
extra["default_headers"] = {"User-Agent": "KimiCLI/1.0"}
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
@@ -714,14 +651,12 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
if not api_key:
continue
base_url = _to_openai_base_url(
str(creds.get("base_url", "")).strip().rstrip("/") or pconfig.inference_base_url
)
base_url = str(creds.get("base_url", "")).strip().rstrip("/") or pconfig.inference_base_url
model = _API_KEY_PROVIDER_AUX_MODELS.get(provider_id, "default")
logger.debug("Auxiliary text client: %s (%s)", pconfig.name, model)
extra = {}
if "api.kimi.com" in base_url.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.3"}
extra["default_headers"] = {"User-Agent": "KimiCLI/1.0"}
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
@@ -778,7 +713,7 @@ def _try_openrouter() -> Tuple[Optional[OpenAI], Optional[str]]:
default_headers=_OR_HEADERS), _OPENROUTER_MODEL
def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
def _try_nous() -> Tuple[Optional[OpenAI], Optional[str]]:
nous = _read_nous_auth()
if not nous:
return None, None
@@ -790,13 +725,12 @@ def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
else:
model = _NOUS_MODEL
# Free-tier users can't use paid auxiliary models — use the free
# models instead: mimo-v2-omni for vision, mimo-v2-pro for text tasks.
# multimodal model instead so vision/browser-vision still works.
try:
from hermes_cli.models import check_nous_free_tier
if check_nous_free_tier():
model = _NOUS_FREE_TIER_VISION_MODEL if vision else _NOUS_FREE_TIER_AUX_MODEL
logger.debug("Free-tier Nous account — using %s for auxiliary/%s",
model, "vision" if vision else "text")
model = _NOUS_FREE_TIER_VISION_MODEL
logger.debug("Free-tier Nous account — using %s for auxiliary/vision", model)
except Exception:
pass
return (
@@ -902,13 +836,9 @@ def _try_codex() -> Tuple[Optional[Any], Optional[str]]:
pool_present, entry = _select_pool_entry("openai-codex")
if pool_present:
codex_token = _pool_runtime_api_key(entry)
if codex_token:
base_url = _pool_runtime_base_url(entry, _CODEX_AUX_BASE_URL) or _CODEX_AUX_BASE_URL
else:
codex_token = _read_codex_access_token()
if not codex_token:
return None, None
base_url = _CODEX_AUX_BASE_URL
if not codex_token:
return None, None
base_url = _pool_runtime_base_url(entry, _CODEX_AUX_BASE_URL) or _CODEX_AUX_BASE_URL
else:
codex_token = _read_codex_access_token()
if not codex_token:
@@ -1047,32 +977,6 @@ def _is_payment_error(exc: Exception) -> bool:
return False
def _is_connection_error(exc: Exception) -> bool:
"""Detect connection/network errors that warrant provider fallback.
Returns True for errors indicating the provider endpoint is unreachable
(DNS failure, connection refused, TLS errors, timeouts). These are
distinct from API errors (4xx/5xx) which indicate the provider IS
reachable but returned an error.
"""
from openai import APIConnectionError, APITimeoutError
if isinstance(exc, (APIConnectionError, APITimeoutError)):
return True
# urllib3 / httpx / httpcore connection errors
err_type = type(exc).__name__
if any(kw in err_type for kw in ("Connection", "Timeout", "DNS", "SSL")):
return True
err_lower = str(exc).lower()
if any(kw in err_lower for kw in (
"connection refused", "name or service not known",
"no route to host", "network is unreachable",
"timed out", "connection reset",
)):
return True
return False
def _try_payment_fallback(
failed_provider: str,
task: str = None,
@@ -1137,7 +1041,7 @@ def _resolve_auto() -> Tuple[Optional[OpenAI], Optional[str]]:
main_model = _read_main_model()
if (main_provider and main_model
and main_provider not in _AGGREGATOR_PROVIDERS
and main_provider not in ("auto", "")):
and main_provider not in ("auto", "custom", "")):
client, resolved = resolve_provider_client(main_provider, main_model)
if client is not None:
logger.info("Auxiliary auto-detect: using main provider %s (%s)",
@@ -1195,7 +1099,7 @@ def _to_async_client(sync_client, model: str):
async_kwargs["default_headers"] = copilot_default_headers()
elif "api.kimi.com" in base_lower:
async_kwargs["default_headers"] = {"User-Agent": "KimiCLI/1.3"}
async_kwargs["default_headers"] = {"User-Agent": "KimiCLI/1.0"}
return AsyncOpenAI(**async_kwargs), model
@@ -1234,7 +1138,11 @@ def resolve_provider_client(
(client, resolved_model) or (None, None) if auth is unavailable.
"""
# Normalise aliases
provider = _normalize_aux_provider(provider)
provider = (provider or "auto").strip().lower()
if provider == "codex":
provider = "openai-codex"
if provider == "main":
provider = "custom"
# ── Auto: try all providers in priority order ────────────────────
if provider == "auto":
@@ -1315,13 +1223,7 @@ def resolve_provider_client(
)
return None, None
final_model = model or _read_main_model() or "gpt-4o-mini"
extra = {}
if "api.kimi.com" in custom_base.lower():
extra["default_headers"] = {"User-Agent": "KimiCLI/1.3"}
elif "api.githubcopilot.com" in custom_base.lower():
from hermes_cli.models import copilot_default_headers
extra["default_headers"] = copilot_default_headers()
client = OpenAI(api_key=custom_key, base_url=custom_base, **extra)
client = OpenAI(api_key=custom_key, base_url=custom_base)
return (_to_async_client(client, final_model) if async_mode
else (client, final_model))
# Try custom first, then codex, then API-key providers
@@ -1336,28 +1238,6 @@ def resolve_provider_client(
"but no endpoint credentials found")
return None, None
# ── 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)
if custom_entry:
custom_base = custom_entry.get("base_url", "").strip()
custom_key = custom_entry.get("api_key", "").strip() or "no-key-required"
if custom_base:
final_model = model or _read_main_model() or "gpt-4o-mini"
client = OpenAI(api_key=custom_key, base_url=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(
"resolve_provider_client: named custom provider %r has no base_url",
provider)
return None, None
except ImportError:
pass
# ── API-key providers from PROVIDER_REGISTRY ─────────────────────
try:
from hermes_cli.auth import PROVIDER_REGISTRY, resolve_api_key_provider_credentials
@@ -1390,9 +1270,7 @@ def resolve_provider_client(
provider, ", ".join(tried_sources))
return None, None
base_url = _to_openai_base_url(
str(creds.get("base_url", "")).strip().rstrip("/") or pconfig.inference_base_url
)
base_url = str(creds.get("base_url", "")).strip().rstrip("/") or pconfig.inference_base_url
default_model = _API_KEY_PROVIDER_AUX_MODELS.get(provider, "")
final_model = model or default_model
@@ -1400,7 +1278,7 @@ def resolve_provider_client(
# Provider-specific headers
headers = {}
if "api.kimi.com" in base_url.lower():
headers["User-Agent"] = "KimiCLI/1.3"
headers["User-Agent"] = "KimiCLI/1.0"
elif "api.githubcopilot.com" in base_url.lower():
from hermes_cli.models import copilot_default_headers
@@ -1469,11 +1347,19 @@ def get_async_text_auxiliary_client(task: str = ""):
_VISION_AUTO_PROVIDER_ORDER = (
"openrouter",
"nous",
"openai-codex",
"anthropic",
"custom",
)
def _normalize_vision_provider(provider: Optional[str]) -> str:
return _normalize_aux_provider(provider, for_vision=True)
provider = (provider or "auto").strip().lower()
if provider == "codex":
return "openai-codex"
if provider == "main":
return "custom"
return provider
def _resolve_strict_vision_backend(provider: str) -> Tuple[Optional[Any], Optional[str]]:
@@ -1481,7 +1367,7 @@ def _resolve_strict_vision_backend(provider: str) -> Tuple[Optional[Any], Option
if provider == "openrouter":
return _try_openrouter()
if provider == "nous":
return _try_nous(vision=True)
return _try_nous()
if provider == "openai-codex":
return _try_codex()
if provider == "anthropic":
@@ -1514,26 +1400,17 @@ def _preferred_main_vision_provider() -> Optional[str]:
def get_available_vision_backends() -> List[str]:
"""Return the currently available vision backends in auto-selection order.
Order: active provider → OpenRouter → Nous → stop. This is the single
source of truth for setup, tool gating, and runtime auto-routing of
vision tasks.
This is the single source of truth for setup, tool gating, and runtime
auto-routing of vision tasks. The selected main provider is preferred when
it is also a known-good vision backend; otherwise Hermes falls back through
the standard conservative order.
"""
available: List[str] = []
# 1. Active provider — if the user configured a provider, try it first.
main_provider = _read_main_provider()
if main_provider and main_provider not in ("auto", ""):
if main_provider in _VISION_AUTO_PROVIDER_ORDER:
if _strict_vision_backend_available(main_provider):
available.append(main_provider)
else:
client, _ = resolve_provider_client(main_provider, _read_main_model())
if client is not None:
available.append(main_provider)
# 2. OpenRouter, 3. Nous — skip if already covered by main provider.
for p in _VISION_AUTO_PROVIDER_ORDER:
if p not in available and _strict_vision_backend_available(p):
available.append(p)
return available
ordered = list(_VISION_AUTO_PROVIDER_ORDER)
preferred = _preferred_main_vision_provider()
if preferred in ordered:
ordered.remove(preferred)
ordered.insert(0, preferred)
return [provider for provider in ordered if _strict_vision_backend_available(provider)]
def resolve_vision_provider_client(
@@ -1578,39 +1455,16 @@ def resolve_vision_provider_client(
return "custom", client, final_model
if requested == "auto":
# Vision auto-detection order:
# 1. Active provider + model (user's main chat config)
# 2. OpenRouter (known vision-capable default model)
# 3. Nous Portal (known vision-capable default model)
# 4. Stop
main_provider = _read_main_provider()
main_model = _read_main_model()
if main_provider and main_provider not in ("auto", ""):
if main_provider in _VISION_AUTO_PROVIDER_ORDER:
# Known strict backend — use its defaults.
sync_client, default_model = _resolve_strict_vision_backend(main_provider)
if sync_client is not None:
return _finalize(main_provider, sync_client, default_model)
else:
# Exotic provider (DeepSeek, Alibaba, named custom, etc.)
rpc_client, rpc_model = resolve_provider_client(
main_provider, main_model)
if rpc_client is not None:
logger.info(
"Vision auto-detect: using active provider %s (%s)",
main_provider, rpc_model or main_model,
)
return _finalize(
main_provider, rpc_client, rpc_model or main_model)
ordered = list(_VISION_AUTO_PROVIDER_ORDER)
preferred = _preferred_main_vision_provider()
if preferred in ordered:
ordered.remove(preferred)
ordered.insert(0, preferred)
# Fall back through aggregators.
for candidate in _VISION_AUTO_PROVIDER_ORDER:
if candidate == main_provider:
continue # already tried above
for candidate in ordered:
sync_client, default_model = _resolve_strict_vision_backend(candidate)
if sync_client is not None:
return _finalize(candidate, sync_client, default_model)
logger.debug("Auxiliary vision client: none available")
return None, None, None
@@ -2125,18 +1979,7 @@ def call_llm(
# try alternative providers instead of giving up. This handles the
# common case where a user runs out of OpenRouter credits but has
# Codex OAuth or another provider available.
#
# ── Connection error fallback ────────────────────────────────
# When a provider endpoint is unreachable (DNS failure, connection
# refused, timeout), try alternative providers. This handles stale
# Codex/OAuth tokens that authenticate but whose endpoint is down,
# and providers the user never configured that got picked up by
# the auto-detection chain.
should_fallback = _is_payment_error(first_err) or _is_connection_error(first_err)
if should_fallback:
reason = "payment error" if _is_payment_error(first_err) else "connection error"
logger.info("Auxiliary %s: %s on %s (%s), trying fallback",
task or "call", reason, resolved_provider, first_err)
if _is_payment_error(first_err):
fb_client, fb_model, fb_label = _try_payment_fallback(
resolved_provider, task)
if fb_client is not None:
+28 -77
View File
@@ -154,15 +154,12 @@ class ContextCompressor:
def _prune_old_tool_results(
self, messages: List[Dict[str, Any]], protect_tail_count: int,
protect_tail_tokens: int | None = None,
) -> tuple[List[Dict[str, Any]], int]:
"""Replace old tool result contents with a short placeholder.
Walks backward from the end, protecting the most recent messages that
fall within ``protect_tail_tokens`` (when provided) OR the last
``protect_tail_count`` messages (backward-compatible default).
When both are given, the token budget takes priority and the message
count acts as a hard minimum floor.
Walks backward from the end, protecting the most recent
``protect_tail_count`` messages. Older tool results get their
content replaced with a placeholder string.
Returns (pruned_messages, pruned_count).
"""
@@ -171,29 +168,7 @@ class ContextCompressor:
result = [m.copy() for m in messages]
pruned = 0
# Determine the prune boundary
if protect_tail_tokens is not None and protect_tail_tokens > 0:
# Token-budget approach: walk backward accumulating tokens
accumulated = 0
boundary = len(result)
min_protect = min(protect_tail_count, len(result) - 1)
for i in range(len(result) - 1, -1, -1):
msg = result[i]
content_len = len(msg.get("content") or "")
msg_tokens = content_len // _CHARS_PER_TOKEN + 10
for tc in msg.get("tool_calls") or []:
if isinstance(tc, dict):
args = tc.get("function", {}).get("arguments", "")
msg_tokens += len(args) // _CHARS_PER_TOKEN
if accumulated + msg_tokens > protect_tail_tokens and (len(result) - i) >= min_protect:
boundary = i
break
accumulated += msg_tokens
boundary = i
prune_boundary = max(boundary, len(result) - min_protect)
else:
prune_boundary = len(result) - protect_tail_count
prune_boundary = len(result) - protect_tail_count
for i in range(prune_boundary):
msg = result[i]
@@ -224,39 +199,30 @@ class ContextCompressor:
budget = int(content_tokens * _SUMMARY_RATIO)
return max(_MIN_SUMMARY_TOKENS, min(budget, self.max_summary_tokens))
# Truncation limits for the summarizer input. These bound how much of
# each message the summary model sees — the budget is the *summary*
# model's context window, not the main model's.
_CONTENT_MAX = 6000 # total chars per message body
_CONTENT_HEAD = 4000 # chars kept from the start
_CONTENT_TAIL = 1500 # chars kept from the end
_TOOL_ARGS_MAX = 1500 # tool call argument chars
_TOOL_ARGS_HEAD = 1200 # kept from the start of tool args
def _serialize_for_summary(self, turns: List[Dict[str, Any]]) -> str:
"""Serialize conversation turns into labeled text for the summarizer.
Includes tool call arguments and result content (up to
``_CONTENT_MAX`` chars per message) so the summarizer can preserve
specific details like file paths, commands, and outputs.
Includes tool call arguments and result content (up to 3000 chars
per message) so the summarizer can preserve specific details like
file paths, commands, and outputs.
"""
parts = []
for msg in turns:
role = msg.get("role", "unknown")
content = msg.get("content") or ""
# Tool results: keep enough content for the summarizer
# Tool results: keep more content than before (3000 chars)
if role == "tool":
tool_id = msg.get("tool_call_id", "")
if len(content) > self._CONTENT_MAX:
content = content[:self._CONTENT_HEAD] + "\n...[truncated]...\n" + content[-self._CONTENT_TAIL:]
if len(content) > 3000:
content = content[:2000] + "\n...[truncated]...\n" + content[-800:]
parts.append(f"[TOOL RESULT {tool_id}]: {content}")
continue
# Assistant messages: include tool call names AND arguments
if role == "assistant":
if len(content) > self._CONTENT_MAX:
content = content[:self._CONTENT_HEAD] + "\n...[truncated]...\n" + content[-self._CONTENT_TAIL:]
if len(content) > 3000:
content = content[:2000] + "\n...[truncated]...\n" + content[-800:]
tool_calls = msg.get("tool_calls", [])
if tool_calls:
tc_parts = []
@@ -266,8 +232,8 @@ class ContextCompressor:
name = fn.get("name", "?")
args = fn.get("arguments", "")
# Truncate long arguments but keep enough for context
if len(args) > self._TOOL_ARGS_MAX:
args = args[:self._TOOL_ARGS_HEAD] + "..."
if len(args) > 500:
args = args[:400] + "..."
tc_parts.append(f" {name}({args})")
else:
fn = getattr(tc, "function", None)
@@ -278,8 +244,8 @@ class ContextCompressor:
continue
# User and other roles
if len(content) > self._CONTENT_MAX:
content = content[:self._CONTENT_HEAD] + "\n...[truncated]...\n" + content[-self._CONTENT_TAIL:]
if len(content) > 3000:
content = content[:2000] + "\n...[truncated]...\n" + content[-800:]
parts.append(f"[{role.upper()}]: {content}")
return "\n\n".join(parts)
@@ -344,9 +310,6 @@ Update the summary using this exact structure. PRESERVE all existing information
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
## Tools & Patterns
[Which tools were used, how they were used effectively, and any tool-specific discoveries. Accumulate across compactions.]
Target ~{summary_budget} tokens. Be specific — include file paths, command outputs, error messages, and concrete values rather than vague descriptions.
Write only the summary body. Do not include any preamble or prefix."""
@@ -385,9 +348,6 @@ Use this exact structure:
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
## Tools & Patterns
[Which tools were used, how they were used effectively, and any tool-specific discoveries (e.g., preferred flags, working invocations, successful command patterns)]
Target ~{summary_budget} tokens. Be specific — include file paths, command outputs, error messages, and concrete values rather than vague descriptions. The goal is to prevent the next assistant from repeating work or losing important details.
Write only the summary body. Do not include any preamble or prefix."""
@@ -558,20 +518,13 @@ Write only the summary body. Do not include any preamble or prefix."""
derived from ``summary_target_ratio * context_length``, so it
scales automatically with the model's context window.
Token budget is the primary criterion. A hard minimum of 3 messages
is always protected, but the budget is allowed to exceed by up to
1.5x to avoid cutting inside an oversized message (tool output, file
read, etc.). If even the minimum 3 messages exceed 1.5x the budget
the cut is placed right after the head so compression still runs.
Never cuts inside a tool_call/result group.
Never cuts inside a tool_call/result group. Falls back to the old
``protect_last_n`` if the budget would protect fewer messages.
"""
if token_budget is None:
token_budget = self.tail_token_budget
n = len(messages)
# Hard minimum: always keep at least 3 messages in the tail
min_tail = min(3, n - head_end - 1) if n - head_end > 1 else 0
soft_ceiling = int(token_budget * 1.5)
min_tail = self.protect_last_n
accumulated = 0
cut_idx = n # start from beyond the end
@@ -584,21 +537,21 @@ Write only the summary body. Do not include any preamble or prefix."""
if isinstance(tc, dict):
args = tc.get("function", {}).get("arguments", "")
msg_tokens += len(args) // _CHARS_PER_TOKEN
# Stop once we exceed the soft ceiling (unless we haven't hit min_tail yet)
if accumulated + msg_tokens > soft_ceiling and (n - i) >= min_tail:
if accumulated + msg_tokens > token_budget and (n - i) >= min_tail:
break
accumulated += msg_tokens
cut_idx = i
# Ensure we protect at least min_tail messages
# Ensure we protect at least protect_last_n messages
fallback_cut = n - min_tail
if cut_idx > fallback_cut:
cut_idx = fallback_cut
# If the token budget would protect everything (small conversations),
# force a cut after the head so compression can still remove middle turns.
# fall back to the fixed protect_last_n approach so compression can
# still remove middle turns.
if cut_idx <= head_end:
cut_idx = max(fallback_cut, head_end + 1)
cut_idx = fallback_cut
# Align to avoid splitting tool groups
cut_idx = self._align_boundary_backward(messages, cut_idx)
@@ -623,13 +576,12 @@ Write only the summary body. Do not include any preamble or prefix."""
up so the API never receives mismatched IDs.
"""
n_messages = len(messages)
# Only need head + 3 tail messages minimum (token budget decides the real tail size)
_min_for_compress = self.protect_first_n + 3 + 1
if n_messages <= _min_for_compress:
if n_messages <= self.protect_first_n + self.protect_last_n + 1:
if not self.quiet_mode:
logger.warning(
"Cannot compress: only %d messages (need > %d)",
n_messages, _min_for_compress,
n_messages,
self.protect_first_n + self.protect_last_n + 1,
)
return messages
@@ -637,8 +589,7 @@ Write only the summary body. Do not include any preamble or prefix."""
# Phase 1: Prune old tool results (cheap, no LLM call)
messages, pruned_count = self._prune_old_tool_results(
messages, protect_tail_count=self.protect_last_n,
protect_tail_tokens=self.tail_token_budget,
messages, protect_tail_count=self.protect_last_n * 3,
)
if pruned_count and not self.quiet_mode:
logger.info("Pre-compression: pruned %d old tool result(s)", pruned_count)
+4 -44
View File
@@ -18,14 +18,12 @@ import hermes_cli.auth as auth_mod
from hermes_cli.auth import (
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS,
DEFAULT_AGENT_KEY_MIN_TTL_SECONDS,
KIMI_CODE_BASE_URL,
PROVIDER_REGISTRY,
_codex_access_token_is_expiring,
_decode_jwt_claims,
_import_codex_cli_tokens,
_load_auth_store,
_load_provider_state,
_resolve_kimi_base_url,
_resolve_zai_base_url,
read_credential_pool,
write_credential_pool,
@@ -66,10 +64,10 @@ SUPPORTED_POOL_STRATEGIES = {
}
# Cooldown before retrying an exhausted credential.
# 429 (rate-limited) and 402 (billing/quota) both cool down after 1 hour.
# Provider-supplied reset_at timestamps override these defaults.
# 429 (rate-limited) cools down faster since quotas reset frequently.
# 402 (billing/quota) and other codes use a longer default.
EXHAUSTED_TTL_429_SECONDS = 60 * 60 # 1 hour
EXHAUSTED_TTL_DEFAULT_SECONDS = 60 * 60 # 1 hour
EXHAUSTED_TTL_DEFAULT_SECONDS = 24 * 60 * 60 # 24 hours
# Pool key prefix for custom OpenAI-compatible endpoints.
# Custom endpoints all share provider='custom' but are keyed by their
@@ -513,13 +511,6 @@ class CredentialPool:
except Exception as wexc:
logger.debug("Failed to write refreshed token to credentials file: %s", wexc)
elif self.provider == "openai-codex":
# Proactively sync from ~/.codex/auth.json before refresh.
# The Codex CLI (or another Hermes profile) may have already
# consumed our refresh_token. Syncing first avoids a
# "refresh_token_reused" error when the CLI has a newer pair.
synced = self._sync_codex_entry_from_cli(entry)
if synced is not entry:
entry = synced
refreshed = auth_mod.refresh_codex_oauth_pure(
entry.access_token,
entry.refresh_token,
@@ -605,35 +596,6 @@ 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 openai-codex: the refresh_token may have been consumed by
# the Codex CLI between our proactive sync and the refresh call.
# Re-sync and retry once.
if self.provider == "openai-codex":
synced = self._sync_codex_entry_from_cli(entry)
if synced.refresh_token != entry.refresh_token:
logger.debug("Retrying Codex refresh with synced token from ~/.codex/auth.json")
try:
refreshed = auth_mod.refresh_codex_oauth_pure(
synced.access_token,
synced.refresh_token,
)
updated = replace(
synced,
access_token=refreshed["access_token"],
refresh_token=refreshed["refresh_token"],
last_refresh=refreshed.get("last_refresh"),
last_status=STATUS_OK,
last_status_at=None,
last_error_code=None,
)
self._replace_entry(synced, updated)
self._persist()
return updated
except Exception as retry_exc:
logger.debug("Codex retry refresh also failed: %s", retry_exc)
elif not self._entry_needs_refresh(synced):
logger.debug("Codex CLI has valid token, using without refresh")
return synced
self._mark_exhausted(entry, None)
return None
@@ -1122,9 +1084,7 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
active_sources.add(source)
auth_type = AUTH_TYPE_OAUTH if provider == "anthropic" and not token.startswith("sk-ant-api") else AUTH_TYPE_API_KEY
base_url = env_url or pconfig.inference_base_url
if provider == "kimi-coding":
base_url = _resolve_kimi_base_url(token, pconfig.inference_base_url, env_url)
elif provider == "zai":
if provider == "zai":
base_url = _resolve_zai_base_url(token, pconfig.inference_base_url, env_url)
changed |= _upsert_entry(
entries,
-792
View File
@@ -1,792 +0,0 @@
"""API error classification for smart failover and recovery.
Provides a structured taxonomy of API errors and a priority-ordered
classification pipeline that determines the correct recovery action
(retry, rotate credential, fallback to another provider, compress
context, or abort).
Replaces scattered inline string-matching with a centralized classifier
that the main retry loop in run_agent.py consults for every API failure.
"""
from __future__ import annotations
import enum
import logging
import re
from dataclasses import dataclass, field
from typing import Any, Dict, Optional
logger = logging.getLogger(__name__)
# ── Error taxonomy ──────────────────────────────────────────────────────
class FailoverReason(enum.Enum):
"""Why an API call failed — determines recovery strategy."""
# Authentication / authorization
auth = "auth" # Transient auth (401/403) — refresh/rotate
auth_permanent = "auth_permanent" # Auth failed after refresh — abort
# Billing / quota
billing = "billing" # 402 or confirmed credit exhaustion — rotate immediately
rate_limit = "rate_limit" # 429 or quota-based throttling — backoff then rotate
# Server-side
overloaded = "overloaded" # 503/529 — provider overloaded, backoff
server_error = "server_error" # 500/502 — internal server error, retry
# Transport
timeout = "timeout" # Connection/read timeout — rebuild client + retry
# Context / payload
context_overflow = "context_overflow" # Context too large — compress, not failover
payload_too_large = "payload_too_large" # 413 — compress payload
# Model
model_not_found = "model_not_found" # 404 or invalid model — fallback to different model
# Request format
format_error = "format_error" # 400 bad request — abort or strip + retry
# Provider-specific
thinking_signature = "thinking_signature" # Anthropic thinking block sig invalid
long_context_tier = "long_context_tier" # Anthropic "extra usage" tier gate
# Catch-all
unknown = "unknown" # Unclassifiable — retry with backoff
# ── Classification result ───────────────────────────────────────────────
@dataclass
class ClassifiedError:
"""Structured classification of an API error with recovery hints."""
reason: FailoverReason
status_code: Optional[int] = None
provider: Optional[str] = None
model: Optional[str] = None
message: str = ""
error_context: Dict[str, Any] = field(default_factory=dict)
# Recovery action hints — the retry loop checks these instead of
# re-classifying the error itself.
retryable: bool = True
should_compress: bool = False
should_rotate_credential: bool = False
should_fallback: bool = False
@property
def is_auth(self) -> bool:
return self.reason in (FailoverReason.auth, FailoverReason.auth_permanent)
@property
def is_transient(self) -> bool:
"""Error is expected to resolve on retry (with or without backoff)."""
return self.reason in (
FailoverReason.rate_limit,
FailoverReason.overloaded,
FailoverReason.server_error,
FailoverReason.timeout,
FailoverReason.unknown,
)
# ── Provider-specific patterns ──────────────────────────────────────────
# Patterns that indicate billing exhaustion (not transient rate limit)
_BILLING_PATTERNS = [
"insufficient credits",
"insufficient_quota",
"credit balance",
"credits have been exhausted",
"top up your credits",
"payment required",
"billing hard limit",
"exceeded your current quota",
"account is deactivated",
"plan does not include",
]
# Patterns that indicate rate limiting (transient, will resolve)
_RATE_LIMIT_PATTERNS = [
"rate limit",
"rate_limit",
"too many requests",
"throttled",
"requests per minute",
"tokens per minute",
"requests per day",
"try again in",
"please retry after",
"resource_exhausted",
]
# Usage-limit patterns that need disambiguation (could be billing OR rate_limit)
_USAGE_LIMIT_PATTERNS = [
"usage limit",
"quota",
"limit exceeded",
"key limit exceeded",
]
# Patterns confirming usage limit is transient (not billing)
_USAGE_LIMIT_TRANSIENT_SIGNALS = [
"try again",
"retry",
"resets at",
"reset in",
"wait",
"requests remaining",
"periodic",
"window",
]
# Payload-too-large patterns detected from message text (no status_code attr).
# Proxies and some backends embed the HTTP status in the error message.
_PAYLOAD_TOO_LARGE_PATTERNS = [
"request entity too large",
"payload too large",
"error code: 413",
]
# Context overflow patterns
_CONTEXT_OVERFLOW_PATTERNS = [
"context length",
"context size",
"maximum context",
"token limit",
"too many tokens",
"reduce the length",
"exceeds the limit",
"context window",
"prompt is too long",
"prompt exceeds max length",
"max_tokens",
"maximum number of tokens",
# Chinese error messages (some providers return these)
"超过最大长度",
"上下文长度",
]
# Model not found patterns
_MODEL_NOT_FOUND_PATTERNS = [
"is not a valid model",
"invalid model",
"model not found",
"model_not_found",
"does not exist",
"no such model",
"unknown model",
"unsupported model",
]
# Auth patterns (non-status-code signals)
_AUTH_PATTERNS = [
"invalid api key",
"invalid_api_key",
"authentication",
"unauthorized",
"forbidden",
"invalid token",
"token expired",
"token revoked",
"access denied",
]
# Anthropic thinking block signature patterns
_THINKING_SIG_PATTERNS = [
"signature", # Combined with "thinking" check
]
# Transport error type names
_TRANSPORT_ERROR_TYPES = frozenset({
"ReadTimeout", "ConnectTimeout", "PoolTimeout",
"ConnectError", "RemoteProtocolError",
"ConnectionError", "ConnectionResetError",
"ConnectionAbortedError", "BrokenPipeError",
"TimeoutError", "ReadError",
"ServerDisconnectedError",
# OpenAI SDK errors (not subclasses of Python builtins)
"APIConnectionError",
"APITimeoutError",
})
# Server disconnect patterns (no status code, but transport-level)
_SERVER_DISCONNECT_PATTERNS = [
"server disconnected",
"peer closed connection",
"connection reset by peer",
"connection was closed",
"network connection lost",
"unexpected eof",
"incomplete chunked read",
]
# ── Classification pipeline ─────────────────────────────────────────────
def classify_api_error(
error: Exception,
*,
provider: str = "",
model: str = "",
approx_tokens: int = 0,
context_length: int = 200000,
num_messages: int = 0,
) -> ClassifiedError:
"""Classify an API error into a structured recovery recommendation.
Priority-ordered pipeline:
1. Special-case provider-specific patterns (thinking sigs, tier gates)
2. HTTP status code + message-aware refinement
3. Error code classification (from body)
4. Message pattern matching (billing vs rate_limit vs context vs auth)
5. Transport error heuristics
6. Server disconnect + large session → context overflow
7. Fallback: unknown (retryable with backoff)
Args:
error: The exception from the API call.
provider: Current provider name (e.g. "openrouter", "anthropic").
model: Current model slug.
approx_tokens: Approximate token count of the current context.
context_length: Maximum context length for the current model.
Returns:
ClassifiedError with reason and recovery action hints.
"""
status_code = _extract_status_code(error)
error_type = type(error).__name__
body = _extract_error_body(error)
error_code = _extract_error_code(body)
# Build a comprehensive error message string for pattern matching.
# str(error) alone may not include the body message (e.g. OpenAI SDK's
# APIStatusError.__str__ returns the first arg, not the body). Append
# the body message so patterns like "try again" in 402 disambiguation
# are detected even when only present in the structured body.
#
# Also extract metadata.raw — OpenRouter wraps upstream provider errors
# inside {"error": {"message": "Provider returned error", "metadata":
# {"raw": "<actual error JSON>"}}} and the real error message (e.g.
# "context length exceeded") is only in the inner JSON.
_raw_msg = str(error).lower()
_body_msg = ""
_metadata_msg = ""
if isinstance(body, dict):
_err_obj = body.get("error", {})
if isinstance(_err_obj, dict):
_body_msg = (_err_obj.get("message") or "").lower()
# Parse metadata.raw for wrapped provider errors
_metadata = _err_obj.get("metadata", {})
if isinstance(_metadata, dict):
_raw_json = _metadata.get("raw") or ""
if isinstance(_raw_json, str) and _raw_json.strip():
try:
import json
_inner = json.loads(_raw_json)
if isinstance(_inner, dict):
_inner_err = _inner.get("error", {})
if isinstance(_inner_err, dict):
_metadata_msg = (_inner_err.get("message") or "").lower()
except (json.JSONDecodeError, TypeError):
pass
if not _body_msg:
_body_msg = (body.get("message") or "").lower()
# Combine all message sources for pattern matching
parts = [_raw_msg]
if _body_msg and _body_msg not in _raw_msg:
parts.append(_body_msg)
if _metadata_msg and _metadata_msg not in _raw_msg and _metadata_msg not in _body_msg:
parts.append(_metadata_msg)
error_msg = " ".join(parts)
provider_lower = (provider or "").strip().lower()
model_lower = (model or "").strip().lower()
def _result(reason: FailoverReason, **overrides) -> ClassifiedError:
defaults = {
"reason": reason,
"status_code": status_code,
"provider": provider,
"model": model,
"message": _extract_message(error, body),
}
defaults.update(overrides)
return ClassifiedError(**defaults)
# ── 1. Provider-specific patterns (highest priority) ────────────
# Anthropic thinking block signature invalid (400).
# Don't gate on provider — OpenRouter proxies Anthropic errors, so the
# provider may be "openrouter" even though the error is Anthropic-specific.
# The message pattern ("signature" + "thinking") is unique enough.
if (
status_code == 400
and "signature" in error_msg
and "thinking" in error_msg
):
return _result(
FailoverReason.thinking_signature,
retryable=True,
should_compress=False,
)
# Anthropic long-context tier gate (429 "extra usage" + "long context")
if (
status_code == 429
and "extra usage" in error_msg
and "long context" in error_msg
):
return _result(
FailoverReason.long_context_tier,
retryable=True,
should_compress=True,
)
# ── 2. HTTP status code classification ──────────────────────────
if status_code is not None:
classified = _classify_by_status(
status_code, error_msg, error_code, body,
provider=provider_lower, model=model_lower,
approx_tokens=approx_tokens, context_length=context_length,
num_messages=num_messages,
result_fn=_result,
)
if classified is not None:
return classified
# ── 3. Error code classification ────────────────────────────────
if error_code:
classified = _classify_by_error_code(error_code, error_msg, _result)
if classified is not None:
return classified
# ── 4. Message pattern matching (no status code) ────────────────
classified = _classify_by_message(
error_msg, error_type,
approx_tokens=approx_tokens,
context_length=context_length,
result_fn=_result,
)
if classified is not None:
return classified
# ── 5. Server disconnect + large session → context overflow ─────
# Must come BEFORE generic transport error catch — a disconnect on
# a large session is more likely context overflow than a transient
# transport hiccup. Without this ordering, RemoteProtocolError
# always maps to timeout regardless of session size.
is_disconnect = any(p in error_msg for p in _SERVER_DISCONNECT_PATTERNS)
if is_disconnect and not status_code:
is_large = approx_tokens > context_length * 0.6 or approx_tokens > 120000 or num_messages > 200
if is_large:
return _result(
FailoverReason.context_overflow,
retryable=True,
should_compress=True,
)
return _result(FailoverReason.timeout, retryable=True)
# ── 6. Transport / timeout heuristics ───────────────────────────
if error_type in _TRANSPORT_ERROR_TYPES or isinstance(error, (TimeoutError, ConnectionError, OSError)):
return _result(FailoverReason.timeout, retryable=True)
# ── 7. Fallback: unknown ────────────────────────────────────────
return _result(FailoverReason.unknown, retryable=True)
# ── Status code classification ──────────────────────────────────────────
def _classify_by_status(
status_code: int,
error_msg: str,
error_code: str,
body: dict,
*,
provider: str,
model: str,
approx_tokens: int,
context_length: int,
num_messages: int = 0,
result_fn,
) -> Optional[ClassifiedError]:
"""Classify based on HTTP status code with message-aware refinement."""
if status_code == 401:
# Not retryable on its own — credential pool rotation and
# provider-specific refresh (Codex, Anthropic, Nous) run before
# the retryability check in run_agent.py. If those succeed, the
# loop `continue`s. If they fail, retryable=False ensures we
# hit the client-error abort path (which tries fallback first).
return result_fn(
FailoverReason.auth,
retryable=False,
should_rotate_credential=True,
should_fallback=True,
)
if status_code == 403:
# OpenRouter 403 "key limit exceeded" is actually billing
if "key limit exceeded" in error_msg or "spending limit" in error_msg:
return result_fn(
FailoverReason.billing,
retryable=False,
should_rotate_credential=True,
should_fallback=True,
)
return result_fn(
FailoverReason.auth,
retryable=False,
should_fallback=True,
)
if status_code == 402:
return _classify_402(error_msg, result_fn)
if status_code == 404:
if any(p in error_msg for p in _MODEL_NOT_FOUND_PATTERNS):
return result_fn(
FailoverReason.model_not_found,
retryable=False,
should_fallback=True,
)
# Generic 404 — could be model or endpoint
return result_fn(
FailoverReason.model_not_found,
retryable=False,
should_fallback=True,
)
if status_code == 413:
return result_fn(
FailoverReason.payload_too_large,
retryable=True,
should_compress=True,
)
if status_code == 429:
# Already checked long_context_tier above; this is a normal rate limit
return result_fn(
FailoverReason.rate_limit,
retryable=True,
should_rotate_credential=True,
should_fallback=True,
)
if status_code == 400:
return _classify_400(
error_msg, error_code, body,
provider=provider, model=model,
approx_tokens=approx_tokens,
context_length=context_length,
num_messages=num_messages,
result_fn=result_fn,
)
if status_code in (500, 502):
return result_fn(FailoverReason.server_error, retryable=True)
if status_code in (503, 529):
return result_fn(FailoverReason.overloaded, retryable=True)
# Other 4xx — non-retryable
if 400 <= status_code < 500:
return result_fn(
FailoverReason.format_error,
retryable=False,
should_fallback=True,
)
# Other 5xx — retryable
if 500 <= status_code < 600:
return result_fn(FailoverReason.server_error, retryable=True)
return None
def _classify_402(error_msg: str, result_fn) -> ClassifiedError:
"""Disambiguate 402: billing exhaustion vs transient usage limit.
The key insight from OpenClaw: some 402s are transient rate limits
disguised as payment errors. "Usage limit, try again in 5 minutes"
is NOT a billing problem — it's a periodic quota that resets.
"""
# Check for transient usage-limit signals first
has_usage_limit = any(p in error_msg for p in _USAGE_LIMIT_PATTERNS)
has_transient_signal = any(p in error_msg for p in _USAGE_LIMIT_TRANSIENT_SIGNALS)
if has_usage_limit and has_transient_signal:
# Transient quota — treat as rate limit, not billing
return result_fn(
FailoverReason.rate_limit,
retryable=True,
should_rotate_credential=True,
should_fallback=True,
)
# Confirmed billing exhaustion
return result_fn(
FailoverReason.billing,
retryable=False,
should_rotate_credential=True,
should_fallback=True,
)
def _classify_400(
error_msg: str,
error_code: str,
body: dict,
*,
provider: str,
model: str,
approx_tokens: int,
context_length: int,
num_messages: int = 0,
result_fn,
) -> ClassifiedError:
"""Classify 400 Bad Request — context overflow, format error, or generic."""
# Context overflow from 400
if any(p in error_msg for p in _CONTEXT_OVERFLOW_PATTERNS):
return result_fn(
FailoverReason.context_overflow,
retryable=True,
should_compress=True,
)
# Some providers return model-not-found as 400 instead of 404 (e.g. OpenRouter).
if any(p in error_msg for p in _MODEL_NOT_FOUND_PATTERNS):
return result_fn(
FailoverReason.model_not_found,
retryable=False,
should_fallback=True,
)
# Some providers return rate limit / billing errors as 400 instead of 429/402.
# Check these patterns before falling through to format_error.
if any(p in error_msg for p in _RATE_LIMIT_PATTERNS):
return result_fn(
FailoverReason.rate_limit,
retryable=True,
should_rotate_credential=True,
should_fallback=True,
)
if any(p in error_msg for p in _BILLING_PATTERNS):
return result_fn(
FailoverReason.billing,
retryable=False,
should_rotate_credential=True,
should_fallback=True,
)
# Generic 400 + large session → probable context overflow
# Anthropic sometimes returns a bare "Error" message when context is too large
err_body_msg = ""
if isinstance(body, dict):
err_obj = body.get("error", {})
if isinstance(err_obj, dict):
err_body_msg = (err_obj.get("message") or "").strip().lower()
# Responses API (and some providers) use flat body: {"message": "..."}
if not err_body_msg:
err_body_msg = (body.get("message") or "").strip().lower()
is_generic = len(err_body_msg) < 30 or err_body_msg in ("error", "")
is_large = approx_tokens > context_length * 0.4 or approx_tokens > 80000 or num_messages > 80
if is_generic and is_large:
return result_fn(
FailoverReason.context_overflow,
retryable=True,
should_compress=True,
)
# Non-retryable format error
return result_fn(
FailoverReason.format_error,
retryable=False,
should_fallback=True,
)
# ── Error code classification ───────────────────────────────────────────
def _classify_by_error_code(
error_code: str, error_msg: str, result_fn,
) -> Optional[ClassifiedError]:
"""Classify by structured error codes from the response body."""
code_lower = error_code.lower()
if code_lower in ("resource_exhausted", "throttled", "rate_limit_exceeded"):
return result_fn(
FailoverReason.rate_limit,
retryable=True,
should_rotate_credential=True,
)
if code_lower in ("insufficient_quota", "billing_not_active", "payment_required"):
return result_fn(
FailoverReason.billing,
retryable=False,
should_rotate_credential=True,
should_fallback=True,
)
if code_lower in ("model_not_found", "model_not_available", "invalid_model"):
return result_fn(
FailoverReason.model_not_found,
retryable=False,
should_fallback=True,
)
if code_lower in ("context_length_exceeded", "max_tokens_exceeded"):
return result_fn(
FailoverReason.context_overflow,
retryable=True,
should_compress=True,
)
return None
# ── Message pattern classification ──────────────────────────────────────
def _classify_by_message(
error_msg: str,
error_type: str,
*,
approx_tokens: int,
context_length: int,
result_fn,
) -> Optional[ClassifiedError]:
"""Classify based on error message patterns when no status code is available."""
# Payload-too-large patterns (from message text when no status_code)
if any(p in error_msg for p in _PAYLOAD_TOO_LARGE_PATTERNS):
return result_fn(
FailoverReason.payload_too_large,
retryable=True,
should_compress=True,
)
# Billing patterns
if any(p in error_msg for p in _BILLING_PATTERNS):
return result_fn(
FailoverReason.billing,
retryable=False,
should_rotate_credential=True,
should_fallback=True,
)
# Rate limit patterns
if any(p in error_msg for p in _RATE_LIMIT_PATTERNS):
return result_fn(
FailoverReason.rate_limit,
retryable=True,
should_rotate_credential=True,
should_fallback=True,
)
# Context overflow patterns
if any(p in error_msg for p in _CONTEXT_OVERFLOW_PATTERNS):
return result_fn(
FailoverReason.context_overflow,
retryable=True,
should_compress=True,
)
# Auth patterns
if any(p in error_msg for p in _AUTH_PATTERNS):
return result_fn(
FailoverReason.auth,
retryable=True,
should_rotate_credential=True,
)
# Model not found patterns
if any(p in error_msg for p in _MODEL_NOT_FOUND_PATTERNS):
return result_fn(
FailoverReason.model_not_found,
retryable=False,
should_fallback=True,
)
return None
# ── Helpers ─────────────────────────────────────────────────────────────
def _extract_status_code(error: Exception) -> Optional[int]:
"""Walk the error and its cause chain to find an HTTP status code."""
current = error
for _ in range(5): # Max depth to prevent infinite loops
code = getattr(current, "status_code", None)
if isinstance(code, int):
return code
# Some SDKs use .status instead of .status_code
code = getattr(current, "status", None)
if isinstance(code, int) and 100 <= code < 600:
return code
# Walk cause chain
cause = getattr(current, "__cause__", None) or getattr(current, "__context__", None)
if cause is None or cause is current:
break
current = cause
return None
def _extract_error_body(error: Exception) -> dict:
"""Extract the structured error body from an SDK exception."""
body = getattr(error, "body", None)
if isinstance(body, dict):
return body
# Some errors have .response.json()
response = getattr(error, "response", None)
if response is not None:
try:
json_body = response.json()
if isinstance(json_body, dict):
return json_body
except Exception:
pass
return {}
def _extract_error_code(body: dict) -> str:
"""Extract an error code string from the response body."""
if not body:
return ""
error_obj = body.get("error", {})
if isinstance(error_obj, dict):
code = error_obj.get("code") or error_obj.get("type") or ""
if isinstance(code, str) and code.strip():
return code.strip()
# Top-level code
code = body.get("code") or body.get("error_code") or ""
if isinstance(code, (str, int)):
return str(code).strip()
return ""
def _extract_message(error: Exception, body: dict) -> str:
"""Extract the most informative error message."""
# Try structured body first
if body:
error_obj = body.get("error", {})
if isinstance(error_obj, dict):
msg = error_obj.get("message", "")
if isinstance(msg, str) and msg.strip():
return msg.strip()[:500]
msg = body.get("message", "")
if isinstance(msg, str) and msg.strip():
return msg.strip()[:500]
# Fallback to str(error)
return str(error)[:500]
+3 -110
View File
@@ -26,14 +26,12 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"gemini", "zai", "kimi-coding", "minimax", "minimax-cn", "anthropic", "deepseek",
"opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
"qwen-oauth",
"custom", "local",
# Common aliases
"google", "google-gemini", "google-ai-studio",
"glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
"github-models", "kimi", "moonshot", "claude", "deep-seek",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
"qwen-portal",
})
@@ -115,15 +113,8 @@ DEFAULT_CONTEXT_LENGTHS = {
"llama": 131072,
# Qwen
"qwen": 131072,
# MiniMax (lowercase — lookup lowercases model names at line 973)
"minimax-m1-256k": 1000000,
"minimax-m1-128k": 1000000,
"minimax-m1-80k": 1000000,
"minimax-m1-40k": 1000000,
"minimax-m1": 1000000,
"minimax-m2.5": 1048576,
"minimax-m2.7": 1048576,
"minimax": 1048576,
# MiniMax
"minimax": 204800,
# GLM
"glm": 202752,
# Kimi
@@ -136,7 +127,7 @@ DEFAULT_CONTEXT_LENGTHS = {
"deepseek-ai/DeepSeek-V3.2": 65536,
"moonshotai/Kimi-K2.5": 262144,
"moonshotai/Kimi-K2-Thinking": 262144,
"MiniMaxAI/MiniMax-M2.5": 1048576,
"MiniMaxAI/MiniMax-M2.5": 204800,
"XiaomiMiMo/MiMo-V2-Flash": 32768,
"mimo-v2-pro": 1048576,
"mimo-v2-omni": 1048576,
@@ -189,7 +180,6 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"api.minimax": "minimax",
"dashscope.aliyuncs.com": "alibaba",
"dashscope-intl.aliyuncs.com": "alibaba",
"portal.qwen.ai": "qwen-oauth",
"openrouter.ai": "openrouter",
"generativelanguage.googleapis.com": "gemini",
"inference-api.nousresearch.com": "nous",
@@ -197,7 +187,6 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"api.githubcopilot.com": "copilot",
"models.github.ai": "copilot",
"api.fireworks.ai": "fireworks",
"opencode.ai": "opencode-go",
}
@@ -603,49 +592,6 @@ def parse_context_limit_from_error(error_msg: str) -> Optional[int]:
return None
def parse_available_output_tokens_from_error(error_msg: str) -> Optional[int]:
"""Detect an "output cap too large" error and return how many output tokens are available.
Background — two distinct context errors exist:
1. "Prompt too long" — the INPUT itself exceeds the context window.
Fix: compress history and/or halve context_length.
2. "max_tokens too large" — input is fine, but input + requested_output > window.
Fix: reduce max_tokens (the output cap) for this call.
Do NOT touch context_length — the window hasn't shrunk.
Anthropic's API returns errors like:
"max_tokens: 32768 > context_window: 200000 - input_tokens: 190000 = available_tokens: 10000"
Returns the number of output tokens that would fit (e.g. 10000 above), or None if
the error does not look like a max_tokens-too-large error.
"""
error_lower = error_msg.lower()
# Must look like an output-cap error, not a prompt-length error.
is_output_cap_error = (
"max_tokens" in error_lower
and ("available_tokens" in error_lower or "available tokens" in error_lower)
)
if not is_output_cap_error:
return None
# Extract the available_tokens figure.
# Anthropic format: "… = available_tokens: 10000"
patterns = [
r'available_tokens[:\s]+(\d+)',
r'available\s+tokens[:\s]+(\d+)',
# fallback: last number after "=" in expressions like "200000 - 190000 = 10000"
r'=\s*(\d+)\s*$',
]
for pattern in patterns:
match = re.search(pattern, error_lower)
if match:
tokens = int(match.group(1))
if tokens >= 1:
return tokens
return None
def _model_id_matches(candidate_id: str, lookup_model: str) -> bool:
"""Return True if *candidate_id* (from server) matches *lookup_model* (configured).
@@ -665,59 +611,6 @@ def _model_id_matches(candidate_id: str, lookup_model: str) -> bool:
return False
def query_ollama_num_ctx(model: str, base_url: str) -> Optional[int]:
"""Query an Ollama server for the model's context length.
Returns the model's maximum context from GGUF metadata via ``/api/show``,
or the explicit ``num_ctx`` from the Modelfile if set. Returns None if
the server is unreachable or not Ollama.
This is the value that should be passed as ``num_ctx`` in Ollama chat
requests to override the default 2048.
"""
import httpx
bare_model = _strip_provider_prefix(model)
server_url = base_url.rstrip("/")
if server_url.endswith("/v1"):
server_url = server_url[:-3]
try:
server_type = detect_local_server_type(base_url)
except Exception:
return None
if server_type != "ollama":
return None
try:
with httpx.Client(timeout=3.0) as client:
resp = client.post(f"{server_url}/api/show", json={"name": bare_model})
if resp.status_code != 200:
return None
data = resp.json()
# Prefer explicit num_ctx from Modelfile parameters (user override)
params = data.get("parameters", "")
if "num_ctx" in params:
for line in params.split("\n"):
if "num_ctx" in line:
parts = line.strip().split()
if len(parts) >= 2:
try:
return int(parts[-1])
except ValueError:
pass
# Fall back to GGUF model_info context_length (training max)
model_info = data.get("model_info", {})
for key, value in model_info.items():
if "context_length" in key and isinstance(value, (int, float)):
return int(value)
except Exception:
pass
return None
def _query_local_context_length(model: str, base_url: str) -> Optional[int]:
"""Query a local server for the model's context length."""
import httpx
-1
View File
@@ -153,7 +153,6 @@ PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"minimax-cn": "minimax-cn",
"deepseek": "deepseek",
"alibaba": "alibaba",
"qwen-oauth": "alibaba",
"copilot": "github-copilot",
"ai-gateway": "vercel",
"opencode-zen": "opencode",
-31
View File
@@ -204,30 +204,6 @@ OPENAI_MODEL_EXECUTION_GUIDANCE = (
"the result.\n"
"</tool_persistence>\n"
"\n"
"<mandatory_tool_use>\n"
"NEVER answer these from memory or mental computation — ALWAYS use a tool:\n"
"- Arithmetic, math, calculations → use terminal or execute_code\n"
"- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n"
"- Current time, date, timezone → use terminal (e.g. date)\n"
"- System state: OS, CPU, memory, disk, ports, processes → use terminal\n"
"- File contents, sizes, line counts → use read_file, search_files, or terminal\n"
"- Git history, branches, diffs → use terminal\n"
"- Current facts (weather, news, versions) → use web_search\n"
"Your memory and user profile describe the USER, not the system you are "
"running on. The execution environment may differ from what the user profile "
"says about their personal setup.\n"
"</mandatory_tool_use>\n"
"\n"
"<act_dont_ask>\n"
"When a question has an obvious default interpretation, act on it immediately "
"instead of asking for clarification. Examples:\n"
"- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n"
"- 'What OS am I running?' → check the live system (don't use user profile)\n"
"- 'What time is it?' → run `date` (don't guess)\n"
"Only ask for clarification when the ambiguity genuinely changes what tool "
"you would call.\n"
"</act_dont_ask>\n"
"\n"
"<prerequisite_checks>\n"
"- Before taking an action, check whether prerequisite discovery, lookup, or "
"context-gathering steps are needed.\n"
@@ -349,13 +325,6 @@ PLATFORM_HINTS = {
"only — no markdown, no formatting. SMS messages are limited to ~1600 "
"characters, so be brief and direct."
),
"bluebubbles": (
"You are chatting via iMessage (BlueBubbles). iMessage does not render "
"markdown formatting — use plain text. Keep responses concise as they "
"appear as text messages. You can send media files natively: include "
"MEDIA:/absolute/path/to/file in your response. Images (.jpg, .png, "
".heic) appear as photos and other files arrive as attachments."
),
}
CONTEXT_FILE_MAX_CHARS = 20_000
-242
View File
@@ -1,242 +0,0 @@
"""Rate limit tracking for inference API responses.
Captures x-ratelimit-* headers from provider responses and provides
formatted display for the /usage slash command. Currently supports
the Nous Portal header format (also used by OpenRouter and OpenAI-compatible
APIs that follow the same convention).
Header schema (12 headers total):
x-ratelimit-limit-requests RPM cap
x-ratelimit-limit-requests-1h RPH cap
x-ratelimit-limit-tokens TPM cap
x-ratelimit-limit-tokens-1h TPH cap
x-ratelimit-remaining-requests requests left in minute window
x-ratelimit-remaining-requests-1h requests left in hour window
x-ratelimit-remaining-tokens tokens left in minute window
x-ratelimit-remaining-tokens-1h tokens left in hour window
x-ratelimit-reset-requests seconds until minute request window resets
x-ratelimit-reset-requests-1h seconds until hour request window resets
x-ratelimit-reset-tokens seconds until minute token window resets
x-ratelimit-reset-tokens-1h seconds until hour token window resets
"""
from __future__ import annotations
import time
from dataclasses import dataclass, field
from typing import Any, Dict, Mapping, Optional
@dataclass
class RateLimitBucket:
"""One rate-limit window (e.g. requests per minute)."""
limit: int = 0
remaining: int = 0
reset_seconds: float = 0.0
captured_at: float = 0.0 # time.time() when this was captured
@property
def used(self) -> int:
return max(0, self.limit - self.remaining)
@property
def usage_pct(self) -> float:
if self.limit <= 0:
return 0.0
return (self.used / self.limit) * 100.0
@property
def remaining_seconds_now(self) -> float:
"""Estimated seconds remaining until reset, adjusted for elapsed time."""
elapsed = time.time() - self.captured_at
return max(0.0, self.reset_seconds - elapsed)
@dataclass
class RateLimitState:
"""Full rate-limit state parsed from response headers."""
requests_min: RateLimitBucket = field(default_factory=RateLimitBucket)
requests_hour: RateLimitBucket = field(default_factory=RateLimitBucket)
tokens_min: RateLimitBucket = field(default_factory=RateLimitBucket)
tokens_hour: RateLimitBucket = field(default_factory=RateLimitBucket)
captured_at: float = 0.0 # when the headers were captured
provider: str = ""
@property
def has_data(self) -> bool:
return self.captured_at > 0
@property
def age_seconds(self) -> float:
if not self.has_data:
return float("inf")
return time.time() - self.captured_at
def _safe_int(value: Any, default: int = 0) -> int:
try:
return int(float(value))
except (TypeError, ValueError):
return default
def _safe_float(value: Any, default: float = 0.0) -> float:
try:
return float(value)
except (TypeError, ValueError):
return default
def parse_rate_limit_headers(
headers: Mapping[str, str],
provider: str = "",
) -> Optional[RateLimitState]:
"""Parse x-ratelimit-* headers into a RateLimitState.
Returns None if no rate limit headers are present.
"""
# Quick check: at least one rate limit header must exist
has_any = any(k.lower().startswith("x-ratelimit-") for k in headers)
if not has_any:
return None
now = time.time()
def _bucket(resource: str, suffix: str = "") -> RateLimitBucket:
# e.g. resource="requests", suffix="" -> per-minute
# resource="tokens", suffix="-1h" -> per-hour
tag = f"{resource}{suffix}"
return RateLimitBucket(
limit=_safe_int(headers.get(f"x-ratelimit-limit-{tag}")),
remaining=_safe_int(headers.get(f"x-ratelimit-remaining-{tag}")),
reset_seconds=_safe_float(headers.get(f"x-ratelimit-reset-{tag}")),
captured_at=now,
)
return RateLimitState(
requests_min=_bucket("requests"),
requests_hour=_bucket("requests", "-1h"),
tokens_min=_bucket("tokens"),
tokens_hour=_bucket("tokens", "-1h"),
captured_at=now,
provider=provider,
)
# ── Formatting ──────────────────────────────────────────────────────────
def _fmt_count(n: int) -> str:
"""Human-friendly number: 7999856 -> '8.0M', 33599 -> '33.6K', 799 -> '799'."""
if n >= 1_000_000:
return f"{n / 1_000_000:.1f}M"
if n >= 10_000:
return f"{n / 1_000:.1f}K"
if n >= 1_000:
return f"{n / 1_000:.1f}K"
return str(n)
def _fmt_seconds(seconds: float) -> str:
"""Seconds -> human-friendly duration: '58s', '2m 14s', '58m 57s', '1h 2m'."""
s = max(0, int(seconds))
if s < 60:
return f"{s}s"
if s < 3600:
m, sec = divmod(s, 60)
return f"{m}m {sec}s" if sec else f"{m}m"
h, remainder = divmod(s, 3600)
m = remainder // 60
return f"{h}h {m}m" if m else f"{h}h"
def _bar(pct: float, width: int = 20) -> str:
"""ASCII progress bar: [████████░░░░░░░░░░░░] 40%."""
filled = int(pct / 100.0 * width)
filled = max(0, min(width, filled))
empty = width - filled
return f"[{'' * filled}{'' * empty}]"
def _bucket_line(label: str, bucket: RateLimitBucket, label_width: int = 14) -> str:
"""Format one bucket as a single line."""
if bucket.limit <= 0:
return f" {label:<{label_width}} (no data)"
pct = bucket.usage_pct
used = _fmt_count(bucket.used)
limit = _fmt_count(bucket.limit)
remaining = _fmt_count(bucket.remaining)
reset = _fmt_seconds(bucket.remaining_seconds_now)
bar = _bar(pct)
return f" {label:<{label_width}} {bar} {pct:5.1f}% {used}/{limit} used ({remaining} left, resets in {reset})"
def format_rate_limit_display(state: RateLimitState) -> str:
"""Format rate limit state for terminal/chat display."""
if not state.has_data:
return "No rate limit data yet — make an API request first."
age = state.age_seconds
if age < 5:
freshness = "just now"
elif age < 60:
freshness = f"{int(age)}s ago"
else:
freshness = f"{_fmt_seconds(age)} ago"
provider_label = state.provider.title() if state.provider else "Provider"
lines = [
f"{provider_label} Rate Limits (captured {freshness}):",
"",
_bucket_line("Requests/min", state.requests_min),
_bucket_line("Requests/hr", state.requests_hour),
"",
_bucket_line("Tokens/min", state.tokens_min),
_bucket_line("Tokens/hr", state.tokens_hour),
]
# Add warnings if any bucket is getting hot
warnings = []
for label, bucket in [
("requests/min", state.requests_min),
("requests/hr", state.requests_hour),
("tokens/min", state.tokens_min),
("tokens/hr", state.tokens_hour),
]:
if bucket.limit > 0 and bucket.usage_pct >= 80:
reset = _fmt_seconds(bucket.remaining_seconds_now)
warnings.append(f"{label} at {bucket.usage_pct:.0f}% — resets in {reset}")
if warnings:
lines.append("")
lines.extend(warnings)
return "\n".join(lines)
def format_rate_limit_compact(state: RateLimitState) -> str:
"""One-line compact summary for status bars / gateway messages."""
if not state.has_data:
return "No rate limit data."
rm = state.requests_min
tm = state.tokens_min
rh = state.requests_hour
th = state.tokens_hour
parts = []
if rm.limit > 0:
parts.append(f"RPM: {rm.remaining}/{rm.limit}")
if rh.limit > 0:
parts.append(f"RPH: {_fmt_count(rh.remaining)}/{_fmt_count(rh.limit)} (resets {_fmt_seconds(rh.remaining_seconds_now)})")
if tm.limit > 0:
parts.append(f"TPM: {_fmt_count(tm.remaining)}/{_fmt_count(tm.limit)}")
if th.limit > 0:
parts.append(f"TPH: {_fmt_count(th.remaining)}/{_fmt_count(th.limit)} (resets {_fmt_seconds(th.remaining_seconds_now)})")
return " | ".join(parts)
-57
View File
@@ -1,57 +0,0 @@
"""Retry utilities — jittered backoff for decorrelated retries.
Replaces fixed exponential backoff with jittered delays to prevent
thundering-herd retry spikes when multiple sessions hit the same
rate-limited provider concurrently.
"""
import random
import threading
import time
# Monotonic counter for jitter seed uniqueness within the same process.
# Protected by a lock to avoid race conditions in concurrent retry paths
# (e.g. multiple gateway sessions retrying simultaneously).
_jitter_counter = 0
_jitter_lock = threading.Lock()
def jittered_backoff(
attempt: int,
*,
base_delay: float = 5.0,
max_delay: float = 120.0,
jitter_ratio: float = 0.5,
) -> float:
"""Compute a jittered exponential backoff delay.
Args:
attempt: 1-based retry attempt number.
base_delay: Base delay in seconds for attempt 1.
max_delay: Maximum delay cap in seconds.
jitter_ratio: Fraction of computed delay to use as random jitter
range. 0.5 means jitter is uniform in [0, 0.5 * delay].
Returns:
Delay in seconds: min(base * 2^(attempt-1), max_delay) + jitter.
The jitter decorrelates concurrent retries so multiple sessions
hitting the same provider don't all retry at the same instant.
"""
global _jitter_counter
with _jitter_lock:
_jitter_counter += 1
tick = _jitter_counter
exponent = max(0, attempt - 1)
if exponent >= 63 or base_delay <= 0:
delay = max_delay
else:
delay = min(base_delay * (2 ** exponent), max_delay)
# Seed from time + counter for decorrelation even with coarse clocks.
seed = (time.time_ns() ^ (tick * 0x9E3779B9)) & 0xFFFFFFFF
rng = random.Random(seed)
jitter = rng.uniform(0, jitter_ratio * delay)
return delay + jitter
+2 -8
View File
@@ -159,10 +159,7 @@ class SubdirectoryHintTracker:
def _is_valid_subdir(self, path: Path) -> bool:
"""Check if path is a valid directory to scan for hints."""
try:
if not path.is_dir():
return False
except OSError:
if not path.is_dir():
return False
if path in self._loaded_dirs:
return False
@@ -175,10 +172,7 @@ class SubdirectoryHintTracker:
found_hints = []
for filename in _HINT_FILENAMES:
hint_path = directory / filename
try:
if not hint_path.is_file():
continue
except OSError:
if not hint_path.is_file():
continue
try:
content = hint_path.read_text(encoding="utf-8").strip()
+3 -42
View File
@@ -48,25 +48,6 @@ model:
# api_key: "your-key-here" # Uncomment to set here instead of .env
base_url: "https://openrouter.ai/api/v1"
# ── Token limits — two settings, easy to confuse ──────────────────────────
#
# context_length: TOTAL context window (input + output tokens combined).
# Controls when Hermes compresses history and validates requests.
# Leave unset — Hermes auto-detects the correct value from the provider.
# Set manually only when auto-detection is wrong (e.g. a local server with
# a custom num_ctx, or a proxy that doesn't expose /v1/models).
#
# context_length: 131072
#
# max_tokens: OUTPUT cap — maximum tokens the model may generate per response.
# Unrelated to how long your conversation history can be.
# The OpenAI-standard name "max_tokens" is a misnomer; Anthropic's native
# API has since renamed it "max_output_tokens" for clarity.
# Leave unset to use the model's native output ceiling (recommended).
# Set only if you want to deliberately limit individual response length.
#
# max_tokens: 8192
# =============================================================================
# OpenRouter Provider Routing (only applies when using OpenRouter)
# =============================================================================
@@ -136,8 +117,7 @@ terminal:
timeout: 180
docker_mount_cwd_to_workspace: false # SECURITY: off by default. Opt in to mount the launch cwd into Docker /workspace.
lifetime_seconds: 300
# sudo_password: "hunter2" # Optional: pipe a sudo password via sudo -S. SECURITY WARNING: plaintext.
# sudo_password: "" # Explicit empty password: try empty and never open the interactive sudo prompt.
# sudo_password: "" # Enable sudo commands (pipes via sudo -S) - SECURITY WARNING: plaintext!
# -----------------------------------------------------------------------------
# OPTION 2: SSH remote execution
@@ -228,18 +208,13 @@ terminal:
#
# SECURITY WARNING: Password stored in plaintext!
#
# INTERACTIVE PROMPT: If sudo_password is unset and the CLI is running,
# INTERACTIVE PROMPT: If no sudo_password is set and the CLI is running,
# you'll be prompted to enter your password when sudo is needed:
# - 45-second timeout (auto-skips if no input)
# - Press Enter to skip (command fails gracefully)
# - Password is hidden while typing
# - Password is cached for the session
#
# EMPTY PASSWORDS: Setting sudo_password to an explicit empty string is different
# from leaving it unset. Hermes will try an empty password via `sudo -S` and
# will not open the interactive prompt. This is useful for passwordless sudo,
# Touch ID sudo setups, and environments where prompting is just noise.
#
# ALTERNATIVES:
# - SSH backend: Configure passwordless sudo on the remote server
# - Containers: Run as root inside the container (no sudo needed)
@@ -470,16 +445,6 @@ agent:
# Higher = more room for complex tasks, but costs more tokens
# Recommended: 20-30 for focused tasks, 50-100 for open exploration
max_turns: 60
# Inactivity timeout for gateway agent runs (seconds, 0 = unlimited).
# The agent can run indefinitely when actively calling tools or receiving
# API responses. Only fires after the agent has been idle for this duration.
# gateway_timeout: 1800
# Staged warning: send a warning before escalating to full timeout.
# Fires once per run when inactivity reaches this threshold (seconds).
# Set to 0 to disable the warning.
# gateway_timeout_warning: 900
# Enable verbose logging
verbose: false
@@ -679,14 +644,10 @@ platform_toolsets:
# Voice Transcription (Speech-to-Text)
# =============================================================================
# Automatically transcribe voice messages on messaging platforms.
# Providers: local (free, faster-whisper) | groq (free tier) | openai (Whisper API) | mistral (Voxtral Transcribe)
# Set the corresponding API key in .env: GROQ_API_KEY, OPENAI_API_KEY, or MISTRAL_API_KEY.
# Requires OPENAI_API_KEY in .env (uses OpenAI Whisper API directly).
stt:
enabled: true
# provider: "local" # auto-detected if omitted
model: "whisper-1" # whisper-1 (cheapest) | gpt-4o-mini-transcribe | gpt-4o-transcribe
# mistral:
# model: "voxtral-mini-latest" # voxtral-mini-latest | voxtral-mini-2602
# =============================================================================
# Response Pacing (Messaging Platforms)
+109 -236
View File
@@ -63,7 +63,7 @@ from agent.usage_pricing import (
format_duration_compact,
format_token_count_compact,
)
from hermes_cli.banner import _format_context_length, format_banner_version_label
from hermes_cli.banner import _format_context_length
_COMMAND_SPINNER_FRAMES = ("", "", "", "", "", "", "", "", "", "")
@@ -612,11 +612,6 @@ def _run_cleanup():
pass
# Shut down memory provider (on_session_end + shutdown_all) at actual
# session boundary — NOT per-turn inside run_conversation().
try:
from hermes_cli.plugins import invoke_hook as _invoke_hook
_invoke_hook("on_session_finalize", session_id=_active_agent_ref.session_id if _active_agent_ref else None, platform="cli")
except Exception:
pass
try:
if _active_agent_ref and hasattr(_active_agent_ref, 'shutdown_memory_provider'):
_active_agent_ref.shutdown_memory_provider(
@@ -760,10 +755,7 @@ def _setup_worktree(repo_root: str = None) -> Optional[Dict[str, str]]:
def _cleanup_worktree(info: Dict[str, str] = None) -> None:
"""Remove a worktree and its branch on exit.
Preserves the worktree only if it has unpushed commits (real work
that hasn't been pushed to any remote). Uncommitted changes alone
(untracked files, test artifacts) are not enough to keep it agent
work lives in commits/PRs, not the working tree.
If the worktree has uncommitted changes, warn and keep it.
"""
global _active_worktree
info = info or _active_worktree
@@ -779,27 +771,23 @@ def _cleanup_worktree(info: Dict[str, str] = None) -> None:
if not Path(wt_path).exists():
return
# Check for unpushed commits — commits reachable from HEAD but not
# from any remote branch. These represent real work the agent did
# but didn't push.
has_unpushed = False
# Check for uncommitted changes
try:
result = subprocess.run(
["git", "log", "--oneline", "HEAD", "--not", "--remotes"],
status = subprocess.run(
["git", "status", "--porcelain"],
capture_output=True, text=True, timeout=10, cwd=wt_path,
)
has_unpushed = bool(result.stdout.strip())
has_changes = bool(status.stdout.strip())
except Exception:
has_unpushed = True # Assume unpushed on error — don't delete
has_changes = True # Assume dirty on error — don't delete
if has_unpushed:
print(f"\n\033[33m⚠ Worktree has unpushed commits, keeping: {wt_path}\033[0m")
print(f" To clean up manually: git worktree remove --force {wt_path}")
if has_changes:
print(f"\n\033[33m⚠ Worktree has uncommitted changes, keeping: {wt_path}\033[0m")
print(f" To clean up manually: git worktree remove {wt_path}")
_active_worktree = None
return
# Remove worktree (even if working tree is dirty — uncommitted
# changes without unpushed commits are just artifacts)
# Remove worktree
try:
subprocess.run(
["git", "worktree", "remove", wt_path, "--force"],
@@ -808,7 +796,7 @@ def _cleanup_worktree(info: Dict[str, str] = None) -> None:
except Exception as e:
logger.debug("Failed to remove worktree: %s", e)
# Delete the branch
# Delete the branch (only if it was never pushed / has no upstream)
try:
subprocess.run(
["git", "branch", "-D", branch],
@@ -822,27 +810,19 @@ def _cleanup_worktree(info: Dict[str, str] = None) -> None:
def _prune_stale_worktrees(repo_root: str, max_age_hours: int = 24) -> None:
"""Remove stale worktrees and orphaned branches on startup.
"""Remove worktrees older than max_age_hours that have no uncommitted changes.
Age-based tiers:
- Under max_age_hours (24h): skip session may still be active.
- 24h72h: remove if no unpushed commits.
- Over 72h: force remove regardless (nothing should sit this long).
Also prunes orphaned ``hermes/*`` and ``pr-*`` local branches that
have no corresponding worktree.
Runs silently on startup to clean up after crashed/killed sessions.
"""
import subprocess
import time
worktrees_dir = Path(repo_root) / ".worktrees"
if not worktrees_dir.exists():
_prune_orphaned_branches(repo_root)
return
now = time.time()
soft_cutoff = now - (max_age_hours * 3600) # 24h default
hard_cutoff = now - (max_age_hours * 3 * 3600) # 72h default
cutoff = now - (max_age_hours * 3600)
for entry in worktrees_dir.iterdir():
if not entry.is_dir() or not entry.name.startswith("hermes-"):
@@ -851,24 +831,21 @@ def _prune_stale_worktrees(repo_root: str, max_age_hours: int = 24) -> None:
# Check age
try:
mtime = entry.stat().st_mtime
if mtime > soft_cutoff:
if mtime > cutoff:
continue # Too recent — skip
except Exception:
continue
force = mtime <= hard_cutoff # Over 72h — force remove
if not force:
# 24h72h tier: only remove if no unpushed commits
try:
result = subprocess.run(
["git", "log", "--oneline", "HEAD", "--not", "--remotes"],
capture_output=True, text=True, timeout=5, cwd=str(entry),
)
if result.stdout.strip():
continue # Has unpushed commits — skip
except Exception:
continue # Can't check — skip
# Check for uncommitted changes
try:
status = subprocess.run(
["git", "status", "--porcelain"],
capture_output=True, text=True, timeout=5, cwd=str(entry),
)
if status.stdout.strip():
continue # Has changes — skip
except Exception:
continue # Can't check — skip
# Safe to remove
try:
@@ -887,81 +864,10 @@ def _prune_stale_worktrees(repo_root: str, max_age_hours: int = 24) -> None:
["git", "branch", "-D", branch],
capture_output=True, text=True, timeout=10, cwd=repo_root,
)
logger.debug("Pruned stale worktree: %s (force=%s)", entry.name, force)
logger.debug("Pruned stale worktree: %s", entry.name)
except Exception as e:
logger.debug("Failed to prune worktree %s: %s", entry.name, e)
_prune_orphaned_branches(repo_root)
def _prune_orphaned_branches(repo_root: str) -> None:
"""Delete local ``hermes/hermes-*`` and ``pr-*`` branches with no worktree.
These are auto-generated by ``hermes -w`` sessions and PR review
workflows respectively. Once their worktree is gone they serve no
purpose and just accumulate.
"""
import subprocess
try:
result = subprocess.run(
["git", "branch", "--format=%(refname:short)"],
capture_output=True, text=True, timeout=10, cwd=repo_root,
)
if result.returncode != 0:
return
all_branches = [b.strip() for b in result.stdout.strip().split("\n") if b.strip()]
except Exception:
return
# Collect branches that are actively checked out in a worktree
active_branches: set = set()
try:
wt_result = subprocess.run(
["git", "worktree", "list", "--porcelain"],
capture_output=True, text=True, timeout=10, cwd=repo_root,
)
for line in wt_result.stdout.split("\n"):
if line.startswith("branch refs/heads/"):
active_branches.add(line.split("branch refs/heads/", 1)[-1].strip())
except Exception:
return # Can't determine active branches — bail
# Also protect the currently checked-out branch and main
try:
head_result = subprocess.run(
["git", "branch", "--show-current"],
capture_output=True, text=True, timeout=5, cwd=repo_root,
)
current = head_result.stdout.strip()
if current:
active_branches.add(current)
except Exception:
pass
active_branches.add("main")
orphaned = [
b for b in all_branches
if b not in active_branches
and (b.startswith("hermes/hermes-") or b.startswith("pr-"))
]
if not orphaned:
return
# Delete in batches
for i in range(0, len(orphaned), 50):
batch = orphaned[i:i + 50]
try:
subprocess.run(
["git", "branch", "-D"] + batch,
capture_output=True, text=True, timeout=30, cwd=repo_root,
)
except Exception as e:
logger.debug("Failed to prune orphaned branches: %s", e)
logger.debug("Pruned %d orphaned branches", len(orphaned))
# ============================================================================
# ASCII Art & Branding
# ============================================================================
@@ -1130,44 +1036,21 @@ COMPACT_BANNER = """
def _build_compact_banner() -> str:
"""Build a compact banner that fits the current terminal width."""
try:
from hermes_cli.skin_engine import get_active_skin
_skin = get_active_skin()
except Exception:
_skin = None
skin_name = getattr(_skin, "name", "default") if _skin else "default"
border_color = _skin.get_color("banner_border", "#FFD700") if _skin else "#FFD700"
title_color = _skin.get_color("banner_title", "#FFBF00") if _skin else "#FFBF00"
dim_color = _skin.get_color("banner_dim", "#B8860B") if _skin else "#B8860B"
if skin_name == "default":
line1 = "⚕ NOUS HERMES - AI Agent Framework"
tiny_line = "⚕ NOUS HERMES"
else:
agent_name = _skin.get_branding("agent_name", "Hermes Agent") if _skin else "Hermes Agent"
line1 = f"{agent_name} - AI Agent Framework"
tiny_line = agent_name
version_line = format_banner_version_label()
w = min(shutil.get_terminal_size().columns - 2, 88)
w = min(shutil.get_terminal_size().columns - 2, 64)
if w < 30:
return f"\n[{title_color}]{tiny_line}[/] [dim {dim_color}]- Nous Research[/]\n"
return "\n[#FFBF00]⚕ NOUS HERMES[/] [dim #B8860B]- Nous Research[/]\n"
inner = w - 2 # inside the box border
bar = "" * w
content_width = inner - 2
line1 = "⚕ NOUS HERMES - AI Agent Framework"
line2 = "Messenger of the Digital Gods · Nous Research"
# Truncate and pad to fit
line1 = line1[:content_width].ljust(content_width)
line2 = version_line[:content_width].ljust(content_width)
line1 = line1[:inner - 2].ljust(inner - 2)
line2 = line2[:inner - 2].ljust(inner - 2)
return (
f"\n[bold {border_color}]╔{bar}╗[/]\n"
f"[bold {border_color}]║[/] [{title_color}]{line1}[/] [bold {border_color}]║[/]\n"
f"[bold {border_color}]║[/] [dim {dim_color}]{line2}[/] [bold {border_color}]║[/]\n"
f"[bold {border_color}]╚{bar}╝[/]\n"
f"\n[bold #FFD700]╔{bar}╗[/]\n"
f"[bold #FFD700]║[/] [#FFBF00]{line1}[/] [bold #FFD700]║[/]\n"
f"[bold #FFD700]║[/] [dim #B8860B]{line2}[/] [bold #FFD700]║[/]\n"
f"[bold #FFD700]╚{bar}╝[/]\n"
)
@@ -1546,7 +1429,6 @@ class HermesCLI:
self._clarify_deadline = 0
self._sudo_state = None
self._sudo_deadline = 0
self._modal_input_snapshot = None
self._approval_state = None
self._approval_deadline = 0
self._approval_lock = threading.Lock()
@@ -1603,12 +1485,7 @@ class HermesCLI:
return f"[{('' * filled) + ('' * max(0, width - filled))}]"
def _get_status_bar_snapshot(self) -> Dict[str, Any]:
# Prefer the agent's model name — it updates on fallback.
# self.model reflects the originally configured model and never
# changes mid-session, so the TUI would show a stale name after
# _try_activate_fallback() switches provider/model.
agent = getattr(self, "agent", None)
model_name = (getattr(agent, "model", None) or self.model or "unknown")
model_name = self.model or "unknown"
model_short = model_name.split("/")[-1] if "/" in model_name else model_name
if model_short.endswith(".gguf"):
model_short = model_short[:-5]
@@ -1634,6 +1511,7 @@ class HermesCLI:
"compressions": 0,
}
agent = getattr(self, "agent", None)
if not agent:
return snapshot
@@ -2285,7 +2163,7 @@ class HermesCLI:
)
except Exception as exc:
message = format_runtime_provider_error(exc)
ChatConsole().print(f"[bold red]{message}[/]")
self.console.print(f"[bold red]{message}[/]")
return False
api_key = runtime.get("api_key")
@@ -2500,7 +2378,7 @@ class HermesCLI:
self._pending_title = None
return True
except Exception as e:
ChatConsole().print(f"[bold red]Failed to initialize agent: {e}[/]")
self.console.print(f"[bold red]Failed to initialize agent: {e}[/]")
return False
def show_banner(self):
@@ -3413,22 +3291,6 @@ class HermesCLI:
flush_tool_summary()
print()
def _notify_session_boundary(self, event_type: str) -> None:
"""Fire a session-boundary plugin hook (on_session_finalize or on_session_reset).
Non-blocking errors are caught and logged. Safe to call from any
lifecycle point (shutdown, /new, /reset).
"""
try:
from hermes_cli.plugins import invoke_hook as _invoke_hook
_invoke_hook(
event_type,
session_id=self.agent.session_id if self.agent else None,
platform=getattr(self, "platform", None) or "cli",
)
except Exception:
pass
def new_session(self, silent=False):
"""Start a fresh session with a new session ID and cleared agent state."""
if self.agent and self.conversation_history:
@@ -3436,10 +3298,6 @@ class HermesCLI:
self.agent.flush_memories(self.conversation_history)
except (Exception, KeyboardInterrupt):
pass
self._notify_session_boundary("on_session_finalize")
elif self.agent:
# First session or empty history — still finalize the old session
self._notify_session_boundary("on_session_finalize")
old_session_id = self.session_id
if self._session_db and old_session_id:
@@ -3484,7 +3342,6 @@ class HermesCLI:
)
except Exception:
pass
self._notify_session_boundary("on_session_reset")
if not silent:
print("(^_^)v New session started!")
@@ -4008,7 +3865,59 @@ class HermesCLI:
print(" To change model or provider, use: hermes model")
def _handle_prompt_command(self, cmd: str):
"""Handle the /prompt command to view or set system prompt."""
parts = cmd.split(maxsplit=1)
if len(parts) > 1:
# Set new prompt
new_prompt = parts[1].strip()
if new_prompt.lower() == "clear":
self.system_prompt = ""
self.agent = None # Force re-init
if save_config_value("agent.system_prompt", ""):
print("(^_^)b System prompt cleared (saved to config)")
else:
print("(^_^) System prompt cleared (session only)")
else:
self.system_prompt = new_prompt
self.agent = None # Force re-init
if save_config_value("agent.system_prompt", new_prompt):
print("(^_^)b System prompt set (saved to config)")
else:
print("(^_^) System prompt set (session only)")
print(f" \"{new_prompt[:60]}{'...' if len(new_prompt) > 60 else ''}\"")
else:
# Show current prompt
print()
print("+" + "-" * 50 + "+")
print("|" + " " * 15 + "(^_^) System Prompt" + " " * 15 + "|")
print("+" + "-" * 50 + "+")
print()
if self.system_prompt:
# Word wrap the prompt for display
words = self.system_prompt.split()
lines = []
current_line = ""
for word in words:
if len(current_line) + len(word) + 1 <= 50:
current_line += (" " if current_line else "") + word
else:
lines.append(current_line)
current_line = word
if current_line:
lines.append(current_line)
for line in lines:
print(f" {line}")
else:
print(" (no custom prompt set - using default)")
print()
print(" Usage:")
print(" /prompt <text> - Set a custom system prompt")
print(" /prompt clear - Remove custom prompt")
print(" /personality - Use a predefined personality")
print()
@staticmethod
@@ -4508,7 +4417,9 @@ class HermesCLI:
self._handle_model_switch(cmd_original)
elif canonical == "provider":
self._show_model_and_providers()
elif canonical == "prompt":
# Use original case so prompt text isn't lowercased
self._handle_prompt_command(cmd_original)
elif canonical == "personality":
# Use original case (handler lowercases the personality name itself)
self._handle_personality_command(cmd_original)
@@ -4661,7 +4572,7 @@ class HermesCLI:
if hasattr(self, '_pending_input'):
self._pending_input.put(msg)
else:
ChatConsole().print(f"[bold red]Failed to load skill for {base_cmd}[/]")
self.console.print(f"[bold red]Failed to load skill for {base_cmd}[/]")
else:
# Prefix matching: if input uniquely identifies one command, execute it.
# Matches against both built-in COMMANDS and installed skill commands so
@@ -4722,14 +4633,14 @@ class HermesCLI:
)
if not msg:
ChatConsole().print("[bold red]Failed to load the bundled /plan skill[/]")
self.console.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[/]")
self.console.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.
@@ -5359,27 +5270,12 @@ class HermesCLI:
print(f" ❌ Compression failed: {e}")
def _show_usage(self):
"""Show rate limits (if available) and session token usage."""
"""Show cumulative token usage for the current session."""
if not self.agent:
print("(._.) No active agent -- send a message first.")
return
agent = self.agent
calls = agent.session_api_calls
if calls == 0:
print("(._.) No API calls made yet in this session.")
return
# ── Rate limits (shown first when available) ────────────────
rl_state = agent.get_rate_limit_state()
if rl_state and rl_state.has_data:
from agent.rate_limit_tracker import format_rate_limit_display
print()
print(format_rate_limit_display(rl_state))
print()
# ── Session token usage ─────────────────────────────────────
input_tokens = getattr(agent, "session_input_tokens", 0) or 0
output_tokens = getattr(agent, "session_output_tokens", 0) or 0
cache_read_tokens = getattr(agent, "session_cache_read_tokens", 0) or 0
@@ -5387,7 +5283,13 @@ class HermesCLI:
prompt = agent.session_prompt_tokens
completion = agent.session_completion_tokens
total = agent.session_total_tokens
calls = agent.session_api_calls
if calls == 0:
print("(._.) No API calls made yet in this session.")
return
# Current context window state
compressor = agent.context_compressor
last_prompt = compressor.last_prompt_tokens
ctx_len = compressor.context_length
@@ -6165,7 +6067,6 @@ class HermesCLI:
timeout = 45
response_queue = queue.Queue()
self._capture_modal_input_snapshot()
self._sudo_state = {
"response_queue": response_queue,
}
@@ -6178,7 +6079,6 @@ class HermesCLI:
result = response_queue.get(timeout=1)
self._sudo_state = None
self._sudo_deadline = 0
self._restore_modal_input_snapshot()
self._invalidate()
if result:
_cprint(f"\n{_DIM} ✓ Password received (cached for session){_RST}")
@@ -6193,7 +6093,6 @@ class HermesCLI:
self._sudo_state = None
self._sudo_deadline = 0
self._restore_modal_input_snapshot()
self._invalidate()
_cprint(f"\n{_DIM} ⏱ Timeout — continuing without sudo{_RST}")
return ""
@@ -6366,33 +6265,6 @@ class HermesCLI:
def _secret_capture_callback(self, var_name: str, prompt: str, metadata=None) -> dict:
return prompt_for_secret(self, var_name, prompt, metadata)
def _capture_modal_input_snapshot(self) -> None:
"""Temporarily clear the input buffer and save the user's in-progress draft."""
if self._modal_input_snapshot is not None or not getattr(self, "_app", None):
return
try:
buf = self._app.current_buffer
self._modal_input_snapshot = {
"text": buf.text,
"cursor_position": buf.cursor_position,
}
buf.reset()
except Exception:
self._modal_input_snapshot = None
def _restore_modal_input_snapshot(self) -> None:
"""Restore any draft text that was present before a modal prompt opened."""
snapshot = self._modal_input_snapshot
self._modal_input_snapshot = None
if not snapshot or not getattr(self, "_app", None):
return
try:
buf = self._app.current_buffer
buf.text = snapshot.get("text", "")
buf.cursor_position = min(snapshot.get("cursor_position", 0), len(buf.text))
except Exception:
pass
def _submit_secret_response(self, value: str) -> None:
if not self._secret_state:
return
@@ -7120,7 +6992,6 @@ class HermesCLI:
# Sudo password prompt state (similar mechanism to clarify)
self._sudo_state = None # dict with response_queue when active
self._sudo_deadline = 0
self._modal_input_snapshot = None
# Dangerous command approval state (similar mechanism to clarify)
self._approval_state = None # dict with command, description, choices, selected, response_queue
@@ -7192,6 +7063,7 @@ class HermesCLI:
text = event.app.current_buffer.text
self._sudo_state["response_queue"].put(text)
self._sudo_state = None
event.app.current_buffer.reset()
event.app.invalidate()
return
@@ -7396,6 +7268,7 @@ class HermesCLI:
if self._sudo_state:
self._sudo_state["response_queue"].put("")
self._sudo_state = None
event.app.current_buffer.reset()
event.app.invalidate()
return
+1 -7
View File
@@ -574,16 +574,12 @@ def remove_job(job_id: str) -> bool:
return False
def mark_job_run(job_id: str, success: bool, error: Optional[str] = None,
delivery_error: Optional[str] = None):
def mark_job_run(job_id: str, success: bool, error: Optional[str] = None):
"""
Mark a job as having been run.
Updates last_run_at, last_status, increments completed count,
computes next_run_at, and auto-deletes if repeat limit reached.
``delivery_error`` is tracked separately from the agent error — a job
can succeed (agent produced output) but fail delivery (platform down).
"""
jobs = load_jobs()
for i, job in enumerate(jobs):
@@ -592,8 +588,6 @@ def mark_job_run(job_id: str, success: bool, error: Optional[str] = None,
job["last_run_at"] = now
job["last_status"] = "ok" if success else "error"
job["last_error"] = error if not success else None
# Track delivery failures separately — cleared on successful delivery
job["last_delivery_error"] = delivery_error
# Increment completed count
if job.get("repeat"):
+27 -35
View File
@@ -44,7 +44,7 @@ logger = logging.getLogger(__name__)
_KNOWN_DELIVERY_PLATFORMS = frozenset({
"telegram", "discord", "slack", "whatsapp", "signal",
"matrix", "mattermost", "homeassistant", "dingtalk", "feishu",
"wecom", "sms", "email", "webhook", "bluebubbles",
"wecom", "sms", "email", "webhook",
})
from cron.jobs import get_due_jobs, mark_job_run, save_job_output, advance_next_run
@@ -91,7 +91,7 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
}
# Origin missing (e.g. job created via API/script) — try each
# platform's home channel as a fallback instead of silently dropping.
for platform_name in ("matrix", "telegram", "discord", "slack", "bluebubbles"):
for platform_name in ("matrix", "telegram", "discord", "slack"):
chat_id = os.getenv(f"{platform_name.upper()}_HOME_CHANNEL", "")
if chat_id:
logger.info(
@@ -196,7 +196,7 @@ def _send_media_via_adapter(adapter, chat_id: str, media_files: list, metadata:
logger.warning("Job '%s': failed to send media %s: %s", job.get("id", "?"), media_path, e)
def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Optional[str]:
def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
"""
Deliver job output to the configured target (origin chat, specific platform, etc.).
@@ -204,16 +204,16 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
use the live adapter first — this supports E2EE rooms (e.g. Matrix) where
the standalone HTTP path cannot encrypt. Falls back to standalone send if
the adapter path fails or is unavailable.
Returns None on success, or an error string on failure.
"""
target = _resolve_delivery_target(job)
if not target:
if job.get("deliver", "local") != "local":
msg = f"no delivery target resolved for deliver={job.get('deliver', 'local')}"
logger.warning("Job '%s': %s", job["id"], msg)
return msg
return None # local-only jobs don't deliver — not a failure
logger.warning(
"Job '%s' deliver=%s but no concrete delivery target could be resolved",
job["id"],
job.get("deliver", "local"),
)
return
platform_name = target["platform"]
chat_id = target["chat_id"]
@@ -236,26 +236,22 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
"wecom": Platform.WECOM,
"email": Platform.EMAIL,
"sms": Platform.SMS,
"bluebubbles": Platform.BLUEBUBBLES,
}
platform = platform_map.get(platform_name.lower())
if not platform:
msg = f"unknown platform '{platform_name}'"
logger.warning("Job '%s': %s", job["id"], msg)
return msg
logger.warning("Job '%s': unknown platform '%s' for delivery", job["id"], platform_name)
return
try:
config = load_gateway_config()
except Exception as e:
msg = f"failed to load gateway config: {e}"
logger.error("Job '%s': %s", job["id"], msg)
return msg
logger.error("Job '%s': failed to load gateway config for delivery: %s", job["id"], e)
return
pconfig = config.platforms.get(platform)
if not pconfig or not pconfig.enabled:
msg = f"platform '{platform_name}' not configured/enabled"
logger.warning("Job '%s': %s", job["id"], msg)
return msg
logger.warning("Job '%s': platform '%s' not configured/enabled", job["id"], platform_name)
return
# Optionally wrap the content with a header/footer so the user knows this
# is a cron delivery. Wrapping is on by default; set cron.wrap_response: false
@@ -311,7 +307,7 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
if adapter_ok:
logger.info("Job '%s': delivered to %s:%s via live adapter", job["id"], platform_name, chat_id)
return None
return
except Exception as e:
logger.warning(
"Job '%s': live adapter delivery to %s:%s failed (%s), falling back to standalone",
@@ -333,17 +329,13 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> Option
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, cleaned_delivery_content, thread_id=thread_id, media_files=media_files))
result = future.result(timeout=30)
except Exception as e:
msg = f"delivery to {platform_name}:{chat_id} failed: {e}"
logger.error("Job '%s': %s", job["id"], msg)
return msg
logger.error("Job '%s': delivery to %s:%s failed: %s", job["id"], platform_name, chat_id, e)
return
if result and result.get("error"):
msg = f"delivery error: {result['error']}"
logger.error("Job '%s': %s", job["id"], msg)
return msg
logger.info("Job '%s': delivered to %s:%s", job["id"], platform_name, chat_id)
return None
logger.error("Job '%s': delivery error: %s", job["id"], result["error"])
else:
logger.info("Job '%s': delivered to %s:%s", job["id"], platform_name, chat_id)
_SCRIPT_TIMEOUT = 120 # seconds
@@ -586,9 +578,11 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
except Exception as e:
logger.warning("Job '%s': failed to load config.yaml, using defaults: %s", job_id, e)
# Reasoning config from config.yaml
# Reasoning config from env or config.yaml
from hermes_constants import parse_reasoning_effort
effort = str(_cfg.get("agent", {}).get("reasoning_effort", "")).strip()
effort = os.getenv("HERMES_REASONING_EFFORT", "")
if not effort:
effort = str(_cfg.get("agent", {}).get("reasoning_effort", "")).strip()
reasoning_config = parse_reasoning_effort(effort)
# Prefill messages from env or config.yaml
@@ -874,15 +868,13 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
logger.info("Job '%s': agent returned %s — skipping delivery", job["id"], SILENT_MARKER)
should_deliver = False
delivery_error = None
if should_deliver:
try:
delivery_error = _deliver_result(job, deliver_content, adapters=adapters, loop=loop)
_deliver_result(job, deliver_content, adapters=adapters, loop=loop)
except Exception as de:
delivery_error = str(de)
logger.error("Delivery failed for job %s: %s", job["id"], de)
mark_job_run(job["id"], success, error, delivery_error=delivery_error)
mark_job_run(job["id"], success, error)
executed += 1
except Exception as e:
+1 -24
View File
@@ -21,8 +21,6 @@ from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Set
from model_tools import handle_function_call
from tools.terminal_tool import get_active_env
from tools.tool_result_storage import maybe_persist_tool_result, enforce_turn_budget
# Thread pool for running sync tool calls that internally use asyncio.run()
# (e.g., the Modal/Docker/Daytona terminal backends). Running them in a separate
@@ -140,7 +138,6 @@ class HermesAgentLoop:
temperature: float = 1.0,
max_tokens: Optional[int] = None,
extra_body: Optional[Dict[str, Any]] = None,
budget_config: Optional["BudgetConfig"] = None,
):
"""
Initialize the agent loop.
@@ -157,11 +154,7 @@ class HermesAgentLoop:
extra_body: Extra parameters passed to the OpenAI client's create() call.
Used for OpenRouter provider preferences, transforms, etc.
e.g. {"provider": {"ignore": ["DeepInfra"]}}
budget_config: Tool result persistence budget. Controls per-tool
thresholds, per-turn aggregate budget, and preview size.
If None, uses DEFAULT_BUDGET (current hardcoded values).
"""
from tools.budget_config import DEFAULT_BUDGET
self.server = server
self.tool_schemas = tool_schemas
self.valid_tool_names = valid_tool_names
@@ -170,7 +163,6 @@ class HermesAgentLoop:
self.temperature = temperature
self.max_tokens = max_tokens
self.extra_body = extra_body
self.budget_config = budget_config or DEFAULT_BUDGET
async def run(self, messages: List[Dict[str, Any]]) -> AgentResult:
"""
@@ -454,15 +446,8 @@ class HermesAgentLoop:
except (json.JSONDecodeError, TypeError):
pass
# Add tool response to conversation
tc_id = tc.get("id", "") if isinstance(tc, dict) else tc.id
tool_result = maybe_persist_tool_result(
content=tool_result,
tool_name=tool_name,
tool_use_id=tc_id,
env=get_active_env(self.task_id),
config=self.budget_config,
)
messages.append(
{
"role": "tool",
@@ -471,14 +456,6 @@ class HermesAgentLoop:
}
)
num_tcs = len(assistant_msg.tool_calls)
if num_tcs > 0:
enforce_turn_budget(
messages[-num_tcs:],
env=get_active_env(self.task_id),
config=self.budget_config,
)
turn_elapsed = _time.monotonic() - turn_start
logger.info(
"[%s] turn %d: api=%.1fs, %d tools, turn_total=%.1fs",
-1
View File
@@ -1048,7 +1048,6 @@ class AgenticOPDEnv(HermesAgentBaseEnv):
temperature=0.0,
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
@@ -44,7 +44,7 @@ import tempfile
import time
import uuid
from collections import defaultdict
from pathlib import Path, PurePosixPath, PureWindowsPath
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union
# Ensure repo root is on sys.path for imports
@@ -148,62 +148,6 @@ MODAL_INCOMPATIBLE_TASKS = {
# Tar extraction helper
# =============================================================================
def _normalize_tar_member_parts(member_name: str) -> list:
"""Return safe path components for a tar member or raise ValueError."""
normalized_name = member_name.replace("\\", "/")
posix_path = PurePosixPath(normalized_name)
windows_path = PureWindowsPath(member_name)
if (
not normalized_name
or posix_path.is_absolute()
or windows_path.is_absolute()
or windows_path.drive
):
raise ValueError(f"Unsafe archive member path: {member_name}")
parts = [part for part in posix_path.parts if part not in ("", ".")]
if not parts or any(part == ".." for part in parts):
raise ValueError(f"Unsafe archive member path: {member_name}")
return parts
def _safe_extract_tar(tar: tarfile.TarFile, target_dir: Path) -> None:
"""Extract a tar archive without allowing traversal or link entries."""
target_dir.mkdir(parents=True, exist_ok=True)
target_root = target_dir.resolve()
for member in tar.getmembers():
parts = _normalize_tar_member_parts(member.name)
target = target_dir.joinpath(*parts)
target_real = target.resolve(strict=False)
try:
target_real.relative_to(target_root)
except ValueError as exc:
raise ValueError(f"Unsafe archive member path: {member.name}") from exc
if member.isdir():
target_real.mkdir(parents=True, exist_ok=True)
continue
if not member.isfile():
raise ValueError(f"Unsupported archive member type: {member.name}")
target_real.parent.mkdir(parents=True, exist_ok=True)
extracted = tar.extractfile(member)
if extracted is None:
raise ValueError(f"Cannot read archive member: {member.name}")
with extracted, open(target_real, "wb") as dst:
shutil.copyfileobj(extracted, dst)
try:
os.chmod(target_real, member.mode & 0o777)
except OSError:
pass
def _extract_base64_tar(b64_data: str, target_dir: Path):
"""Extract a base64-encoded tar.gz archive into target_dir."""
if not b64_data:
@@ -211,7 +155,7 @@ def _extract_base64_tar(b64_data: str, target_dir: Path):
raw = base64.b64decode(b64_data)
buf = io.BytesIO(raw)
with tarfile.open(fileobj=buf, mode="r:gz") as tar:
_safe_extract_tar(tar, target_dir)
tar.extractall(path=str(target_dir))
# =============================================================================
@@ -541,7 +485,6 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
temperature=self.config.agent_temperature,
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
else:
@@ -554,7 +497,6 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
temperature=self.config.agent_temperature,
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
@@ -549,7 +549,6 @@ class YCBenchEvalEnv(HermesAgentBaseEnv):
temperature=self.config.agent_temperature,
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
-44
View File
@@ -62,11 +62,6 @@ from atroposlib.type_definitions import Item
from environments.agent_loop import AgentResult, HermesAgentLoop
from environments.tool_context import ToolContext
from tools.budget_config import (
DEFAULT_RESULT_SIZE_CHARS,
DEFAULT_TURN_BUDGET_CHARS,
DEFAULT_PREVIEW_SIZE_CHARS,
)
# Import hermes-agent toolset infrastructure
from model_tools import get_tool_definitions
@@ -165,32 +160,6 @@ class HermesAgentEnvConfig(BaseEnvConfig):
"Options: hermes, mistral, llama3_json, qwen, deepseek_v3, etc.",
)
# --- Tool result budget ---
# Defaults imported from tools.budget_config (single source of truth).
default_result_size_chars: int = Field(
default=DEFAULT_RESULT_SIZE_CHARS,
description="Default per-tool threshold (chars) for persisting large results "
"to sandbox. Results exceeding this are written to /tmp/hermes-results/ "
"and replaced with a preview. Per-tool registry values take precedence "
"unless overridden via tool_result_overrides.",
)
turn_budget_chars: int = Field(
default=DEFAULT_TURN_BUDGET_CHARS,
description="Aggregate char budget per assistant turn. If all tool results "
"in a single turn exceed this, the largest are persisted to disk first.",
)
preview_size_chars: int = Field(
default=DEFAULT_PREVIEW_SIZE_CHARS,
description="Size of the inline preview shown after a tool result is persisted.",
)
tool_result_overrides: Optional[Dict[str, int]] = Field(
default=None,
description="Per-tool threshold overrides (chars). Keys are tool names, "
"values are char thresholds. Overrides both the default and registry "
"per-tool values. Example: {'terminal': 10000, 'search_files': 5000}. "
"Note: read_file is pinned to infinity and cannot be overridden.",
)
# --- Provider-specific parameters ---
# Passed as extra_body to the OpenAI client's chat.completions.create() call.
# Useful for OpenRouter provider preferences, transforms, route settings, etc.
@@ -207,16 +176,6 @@ class HermesAgentEnvConfig(BaseEnvConfig):
"transforms, and other provider-specific settings.",
)
def build_budget_config(self):
"""Build a BudgetConfig from env config fields."""
from tools.budget_config import BudgetConfig
return BudgetConfig(
default_result_size=self.default_result_size_chars,
turn_budget=self.turn_budget_chars,
preview_size=self.preview_size_chars,
tool_overrides=dict(self.tool_result_overrides) if self.tool_result_overrides else {},
)
class HermesAgentBaseEnv(BaseEnv):
"""
@@ -531,7 +490,6 @@ class HermesAgentBaseEnv(BaseEnv):
temperature=self.config.agent_temperature,
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
except NotImplementedError:
@@ -549,7 +507,6 @@ class HermesAgentBaseEnv(BaseEnv):
temperature=self.config.agent_temperature,
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
else:
@@ -563,7 +520,6 @@ class HermesAgentBaseEnv(BaseEnv):
temperature=self.config.agent_temperature,
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
-1
View File
@@ -472,7 +472,6 @@ class WebResearchEnv(HermesAgentBaseEnv):
temperature=0.0, # Deterministic for eval
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
Generated
+4 -4
View File
@@ -22,16 +22,16 @@
},
"nixpkgs": {
"locked": {
"lastModified": 1775036866,
"narHash": "sha256-ZojAnPuCdy657PbTq5V0Y+AHKhZAIwSIT2cb8UgAz/U=",
"lastModified": 1751274312,
"narHash": "sha256-/bVBlRpECLVzjV19t5KMdMFWSwKLtb5RyXdjz3LJT+g=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "6201e203d09599479a3b3450ed24fa81537ebc4e",
"rev": "50ab793786d9de88ee30ec4e4c24fb4236fc2674",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixos-unstable",
"ref": "nixos-24.11",
"repo": "nixpkgs",
"type": "github"
}
+1 -1
View File
@@ -2,7 +2,7 @@
description = "Hermes Agent - AI agent framework by Nous Research";
inputs = {
nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable";
nixpkgs.url = "github:NixOS/nixpkgs/nixos-24.11";
flake-parts = {
url = "github:hercules-ci/flake-parts";
inputs.nixpkgs-lib.follows = "nixpkgs";
+1 -1
View File
@@ -77,7 +77,7 @@ def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
logger.warning("Channel directory: failed to build %s: %s", platform.value, e)
# Telegram, WhatsApp & Signal can't enumerate chats -- pull from session history
for plat_name in ("telegram", "whatsapp", "signal", "email", "sms", "bluebubbles"):
for plat_name in ("telegram", "whatsapp", "signal", "email", "sms"):
if plat_name not in platforms:
platforms[plat_name] = _build_from_sessions(plat_name)
-48
View File
@@ -63,7 +63,6 @@ class Platform(Enum):
WEBHOOK = "webhook"
FEISHU = "feishu"
WECOM = "wecom"
BLUEBUBBLES = "bluebubbles"
@dataclass
@@ -288,9 +287,6 @@ class GatewayConfig:
# WeCom uses extra dict for bot credentials
elif platform == Platform.WECOM and config.extra.get("bot_id"):
connected.append(platform)
# BlueBubbles uses extra dict for local server config
elif platform == Platform.BLUEBUBBLES and config.extra.get("server_url") and config.extra.get("password"):
connected.append(platform)
return connected
def get_home_channel(self, platform: Platform) -> Optional[HomeChannel]:
@@ -560,18 +556,6 @@ def load_gateway_config() -> GatewayConfig:
os.environ["DISCORD_AUTO_THREAD"] = str(discord_cfg["auto_thread"]).lower()
if "reactions" in discord_cfg and not os.getenv("DISCORD_REACTIONS"):
os.environ["DISCORD_REACTIONS"] = str(discord_cfg["reactions"]).lower()
# ignored_channels: channels where bot never responds (even when mentioned)
ic = discord_cfg.get("ignored_channels")
if ic is not None and not os.getenv("DISCORD_IGNORED_CHANNELS"):
if isinstance(ic, list):
ic = ",".join(str(v) for v in ic)
os.environ["DISCORD_IGNORED_CHANNELS"] = str(ic)
# no_thread_channels: channels where bot responds directly without creating thread
ntc = discord_cfg.get("no_thread_channels")
if ntc is not None and not os.getenv("DISCORD_NO_THREAD_CHANNELS"):
if isinstance(ntc, list):
ntc = ",".join(str(v) for v in ntc)
os.environ["DISCORD_NO_THREAD_CHANNELS"] = str(ntc)
# Telegram settings → env vars (env vars take precedence)
telegram_cfg = yaml_cfg.get("telegram", {})
@@ -586,8 +570,6 @@ def load_gateway_config() -> GatewayConfig:
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["TELEGRAM_FREE_RESPONSE_CHATS"] = str(frc)
if "reactions" in telegram_cfg and not os.getenv("TELEGRAM_REACTIONS"):
os.environ["TELEGRAM_REACTIONS"] = str(telegram_cfg["reactions"]).lower()
whatsapp_cfg = yaml_cfg.get("whatsapp", {})
if isinstance(whatsapp_cfg, dict):
@@ -716,13 +698,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
name=os.getenv("DISCORD_HOME_CHANNEL_NAME", "Home"),
)
# Reply threading mode for Discord (off/first/all)
discord_reply_mode = os.getenv("DISCORD_REPLY_TO_MODE", "").lower()
if discord_reply_mode in ("off", "first", "all"):
if Platform.DISCORD not in config.platforms:
config.platforms[Platform.DISCORD] = PlatformConfig()
config.platforms[Platform.DISCORD].reply_to_mode = discord_reply_mode
# WhatsApp (typically uses different auth mechanism)
whatsapp_enabled = os.getenv("WHATSAPP_ENABLED", "").lower() in ("true", "1", "yes")
if whatsapp_enabled:
@@ -952,29 +927,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
name=os.getenv("WECOM_HOME_CHANNEL_NAME", "Home"),
)
# BlueBubbles (iMessage)
bluebubbles_server_url = os.getenv("BLUEBUBBLES_SERVER_URL")
bluebubbles_password = os.getenv("BLUEBUBBLES_PASSWORD")
if bluebubbles_server_url and bluebubbles_password:
if Platform.BLUEBUBBLES not in config.platforms:
config.platforms[Platform.BLUEBUBBLES] = PlatformConfig()
config.platforms[Platform.BLUEBUBBLES].enabled = True
config.platforms[Platform.BLUEBUBBLES].extra.update({
"server_url": bluebubbles_server_url.rstrip("/"),
"password": bluebubbles_password,
"webhook_host": os.getenv("BLUEBUBBLES_WEBHOOK_HOST", "127.0.0.1"),
"webhook_port": int(os.getenv("BLUEBUBBLES_WEBHOOK_PORT", "8645")),
"webhook_path": os.getenv("BLUEBUBBLES_WEBHOOK_PATH", "/bluebubbles-webhook"),
"send_read_receipts": os.getenv("BLUEBUBBLES_SEND_READ_RECEIPTS", "true").lower() in ("true", "1", "yes"),
})
bluebubbles_home = os.getenv("BLUEBUBBLES_HOME_CHANNEL")
if bluebubbles_home and Platform.BLUEBUBBLES in config.platforms:
config.platforms[Platform.BLUEBUBBLES].home_channel = HomeChannel(
platform=Platform.BLUEBUBBLES,
chat_id=bluebubbles_home,
name=os.getenv("BLUEBUBBLES_HOME_CHANNEL_NAME", "Home"),
)
# Session settings
idle_minutes = os.getenv("SESSION_IDLE_MINUTES")
if idle_minutes:
+5 -63
View File
@@ -20,7 +20,6 @@ Requires:
"""
import asyncio
import hmac
import json
import logging
import os
@@ -371,7 +370,7 @@ class APIServerAdapter(BasePlatformAdapter):
auth_header = request.headers.get("Authorization", "")
if auth_header.startswith("Bearer "):
token = auth_header[7:].strip()
if hmac.compare_digest(token, self._api_key):
if token == self._api_key:
return None # Auth OK
return web.json_response(
@@ -564,10 +563,8 @@ class APIServerAdapter(BasePlatformAdapter):
if delta is not None:
_stream_q.put(delta)
def _on_tool_progress(event_type, name, preview, args, **kwargs):
def _on_tool_progress(name, preview, args):
"""Inject tool progress into the SSE stream for Open WebUI."""
if event_type != "tool.started":
return # Only show tool start events in chat stream
if name.startswith("_"):
return # Skip internal events (_thinking)
from agent.display import get_tool_emoji
@@ -818,29 +815,9 @@ class APIServerAdapter(BasePlatformAdapter):
else:
return web.json_response(_openai_error("'input' must be a string or array"), status=400)
# Accept explicit conversation_history from the request body.
# This lets stateless clients supply their own history instead of
# relying on server-side response chaining via previous_response_id.
# Precedence: explicit conversation_history > previous_response_id.
# Reconstruct conversation history from previous_response_id
conversation_history: List[Dict[str, str]] = []
raw_history = body.get("conversation_history")
if raw_history:
if not isinstance(raw_history, list):
return web.json_response(
_openai_error("'conversation_history' must be an array of message objects"),
status=400,
)
for i, entry in enumerate(raw_history):
if not isinstance(entry, dict) or "role" not in entry or "content" not in entry:
return web.json_response(
_openai_error(f"conversation_history[{i}] must have 'role' and 'content' fields"),
status=400,
)
conversation_history.append({"role": str(entry["role"]), "content": str(entry["content"])})
if previous_response_id:
logger.debug("Both conversation_history and previous_response_id provided; using conversation_history")
if not conversation_history and previous_response_id:
if previous_response_id:
stored = self._response_store.get(previous_response_id)
if stored is None:
return web.json_response(_openai_error(f"Previous response not found: {previous_response_id}"), status=404)
@@ -1426,49 +1403,14 @@ class APIServerAdapter(BasePlatformAdapter):
instructions = body.get("instructions")
previous_response_id = body.get("previous_response_id")
# Accept explicit conversation_history from the request body.
# Precedence: explicit conversation_history > previous_response_id.
conversation_history: List[Dict[str, str]] = []
raw_history = body.get("conversation_history")
if raw_history:
if not isinstance(raw_history, list):
return web.json_response(
_openai_error("'conversation_history' must be an array of message objects"),
status=400,
)
for i, entry in enumerate(raw_history):
if not isinstance(entry, dict) or "role" not in entry or "content" not in entry:
return web.json_response(
_openai_error(f"conversation_history[{i}] must have 'role' and 'content' fields"),
status=400,
)
conversation_history.append({"role": str(entry["role"]), "content": str(entry["content"])})
if previous_response_id:
logger.debug("Both conversation_history and previous_response_id provided; using conversation_history")
if not conversation_history and previous_response_id:
if previous_response_id:
stored = self._response_store.get(previous_response_id)
if stored:
conversation_history = list(stored.get("conversation_history", []))
if instructions is None:
instructions = stored.get("instructions")
# When input is a multi-message array, extract all but the last
# message as conversation history (the last becomes user_message).
# Only fires when no explicit history was provided.
if not conversation_history and isinstance(raw_input, list) and len(raw_input) > 1:
for msg in raw_input[:-1]:
if isinstance(msg, dict) and msg.get("role") and msg.get("content"):
content = msg["content"]
if isinstance(content, list):
# Flatten multi-part content blocks to text
content = " ".join(
part.get("text", "") for part in content
if isinstance(part, dict) and part.get("type") == "text"
)
conversation_history.append({"role": msg["role"], "content": str(content)})
session_id = body.get("session_id") or run_id
ephemeral_system_prompt = instructions
+4 -36
View File
@@ -124,14 +124,7 @@ async def cache_image_from_url(url: str, ext: str = ".jpg", retries: int = 2) ->
Returns:
Absolute path to the cached image file as a string.
Raises:
ValueError: If the URL targets a private/internal network (SSRF protection).
"""
from tools.url_safety import is_safe_url
if not is_safe_url(url):
raise ValueError(f"Blocked unsafe URL (SSRF protection): {_safe_url_for_log(url)}")
import asyncio
import httpx
import logging as _logging
@@ -239,14 +232,7 @@ async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) ->
Returns:
Absolute path to the cached audio file as a string.
Raises:
ValueError: If the URL targets a private/internal network (SSRF protection).
"""
from tools.url_safety import is_safe_url
if not is_safe_url(url):
raise ValueError(f"Blocked unsafe URL (SSRF protection): {_safe_url_for_log(url)}")
import asyncio
import httpx
import logging as _logging
@@ -298,7 +284,6 @@ SUPPORTED_DOCUMENT_TYPES = {
".pdf": "application/pdf",
".md": "text/markdown",
".txt": "text/plain",
".log": "text/plain",
".zip": "application/zip",
".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
@@ -408,10 +393,6 @@ class MessageEvent:
# Auto-loaded skill for topic/channel bindings (e.g., Telegram DM Topics)
auto_skill: Optional[str] = None
# Internal flag — set for synthetic events (e.g. background process
# completion notifications) that must bypass user authorization checks.
internal: bool = False
# Timestamps
timestamp: datetime = field(default_factory=datetime.now)
@@ -1124,22 +1105,6 @@ class BasePlatformAdapter(ABC):
logger.error("[%s] Fallback send also failed: %s", self.name, fallback_result.error)
return fallback_result
@staticmethod
def _merge_caption(existing_text: Optional[str], new_text: str) -> str:
"""Merge a new caption into existing text, avoiding duplicates.
Uses line-by-line exact match (not substring) to prevent false positives
where a shorter caption is silently dropped because it appears as a
substring of a longer one (e.g. "Meeting" inside "Meeting agenda").
Whitespace is normalised for comparison.
"""
if not existing_text:
return new_text
existing_captions = [c.strip() for c in existing_text.split("\n\n")]
if new_text.strip() not in existing_captions:
return f"{existing_text}\n\n{new_text}".strip()
return existing_text
async def handle_message(self, event: MessageEvent) -> None:
"""
Process an incoming message.
@@ -1199,7 +1164,10 @@ class BasePlatformAdapter(ABC):
existing.media_urls.extend(event.media_urls)
existing.media_types.extend(event.media_types)
if event.text:
existing.text = self._merge_caption(existing.text, event.text)
if not existing.text:
existing.text = event.text
elif event.text not in existing.text:
existing.text = f"{existing.text}\n\n{event.text}".strip()
else:
self._pending_messages[session_key] = event
return # Don't interrupt now - will run after current task completes
-828
View File
@@ -1,828 +0,0 @@
"""BlueBubbles iMessage platform adapter.
Uses the local BlueBubbles macOS server for outbound REST sends and inbound
webhooks. Supports text messaging, media attachments (images, voice, video,
documents), tapback reactions, typing indicators, and read receipts.
Architecture based on PR #5869 (benjaminsehl) with inbound attachment
downloading from PR #4588 (YuhangLin).
"""
import asyncio
import json
import logging
import os
import re
import uuid
from datetime import datetime
from typing import Any, Dict, List, Optional
from urllib.parse import quote
import httpx
from gateway.config import Platform, PlatformConfig
from gateway.platforms.base import (
BasePlatformAdapter,
MessageEvent,
MessageType,
SendResult,
cache_image_from_bytes,
cache_audio_from_bytes,
cache_document_from_bytes,
)
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------
DEFAULT_WEBHOOK_HOST = "127.0.0.1"
DEFAULT_WEBHOOK_PORT = 8645
DEFAULT_WEBHOOK_PATH = "/bluebubbles-webhook"
MAX_TEXT_LENGTH = 4000
# Tapback reaction codes (BlueBubbles associatedMessageType values)
_TAPBACK_ADDED = {
2000: "love", 2001: "like", 2002: "dislike",
2003: "laugh", 2004: "emphasize", 2005: "question",
}
_TAPBACK_REMOVED = {
3000: "love", 3001: "like", 3002: "dislike",
3003: "laugh", 3004: "emphasize", 3005: "question",
}
# Webhook event types that carry user messages
_MESSAGE_EVENTS = {"new-message", "message", "updated-message"}
# Log redaction patterns
_PHONE_RE = re.compile(r"\+?\d{7,15}")
_EMAIL_RE = re.compile(r"[\w.+-]+@[\w-]+\.[\w.]+")
def _redact(text: str) -> str:
"""Redact phone numbers and emails from log output."""
text = _PHONE_RE.sub("[REDACTED]", text)
text = _EMAIL_RE.sub("[REDACTED]", text)
return text
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def check_bluebubbles_requirements() -> bool:
try:
import aiohttp # noqa: F401
import httpx as _httpx # noqa: F401
except ImportError:
return False
return True
def _normalize_server_url(raw: str) -> str:
value = (raw or "").strip()
if not value:
return ""
if not re.match(r"^https?://", value, flags=re.I):
value = f"http://{value}"
return value.rstrip("/")
def _strip_markdown(text: str) -> str:
"""Strip common markdown formatting for iMessage plain-text delivery."""
text = re.sub(r"\*\*(.+?)\*\*", r"\1", text, flags=re.DOTALL)
text = re.sub(r"\*(.+?)\*", r"\1", text, flags=re.DOTALL)
text = re.sub(r"__(.+?)__", r"\1", text, flags=re.DOTALL)
text = re.sub(r"_(.+?)_", r"\1", text, flags=re.DOTALL)
text = re.sub(r"```[a-zA-Z0-9_+-]*\n?", "", text)
text = re.sub(r"`(.+?)`", r"\1", text)
text = re.sub(r"^#{1,6}\s+", "", text, flags=re.MULTILINE)
text = re.sub(r"\[([^\]]+)\]\(([^\)]+)\)", r"\1", text)
text = re.sub(r"\n{3,}", "\n\n", text)
return text.strip()
# ---------------------------------------------------------------------------
# Adapter
# ---------------------------------------------------------------------------
class BlueBubblesAdapter(BasePlatformAdapter):
platform = Platform.BLUEBUBBLES
MAX_MESSAGE_LENGTH = MAX_TEXT_LENGTH
def __init__(self, config: PlatformConfig):
super().__init__(config, Platform.BLUEBUBBLES)
extra = config.extra or {}
self.server_url = _normalize_server_url(
extra.get("server_url") or os.getenv("BLUEBUBBLES_SERVER_URL", "")
)
self.password = extra.get("password") or os.getenv("BLUEBUBBLES_PASSWORD", "")
self.webhook_host = (
extra.get("webhook_host")
or os.getenv("BLUEBUBBLES_WEBHOOK_HOST", DEFAULT_WEBHOOK_HOST)
)
self.webhook_port = int(
extra.get("webhook_port")
or os.getenv("BLUEBUBBLES_WEBHOOK_PORT", str(DEFAULT_WEBHOOK_PORT))
)
self.webhook_path = (
extra.get("webhook_path")
or os.getenv("BLUEBUBBLES_WEBHOOK_PATH", DEFAULT_WEBHOOK_PATH)
)
if not str(self.webhook_path).startswith("/"):
self.webhook_path = f"/{self.webhook_path}"
self.send_read_receipts = bool(extra.get("send_read_receipts", True))
self.client: Optional[httpx.AsyncClient] = None
self._runner = None
self._private_api_enabled: Optional[bool] = None
self._helper_connected: bool = False
self._guid_cache: Dict[str, str] = {}
# ------------------------------------------------------------------
# API helpers
# ------------------------------------------------------------------
def _api_url(self, path: str) -> str:
sep = "&" if "?" in path else "?"
return f"{self.server_url}{path}{sep}password={quote(self.password, safe='')}"
async def _api_get(self, path: str) -> Dict[str, Any]:
assert self.client is not None
res = await self.client.get(self._api_url(path))
res.raise_for_status()
return res.json()
async def _api_post(self, path: str, payload: Dict[str, Any]) -> Dict[str, Any]:
assert self.client is not None
res = await self.client.post(self._api_url(path), json=payload)
res.raise_for_status()
return res.json()
# ------------------------------------------------------------------
# Lifecycle
# ------------------------------------------------------------------
async def connect(self) -> bool:
if not self.server_url or not self.password:
logger.error(
"[bluebubbles] BLUEBUBBLES_SERVER_URL and BLUEBUBBLES_PASSWORD are required"
)
return False
from aiohttp import web
self.client = httpx.AsyncClient(timeout=30.0)
try:
await self._api_get("/api/v1/ping")
info = await self._api_get("/api/v1/server/info")
server_data = (info or {}).get("data", {})
self._private_api_enabled = bool(server_data.get("private_api"))
self._helper_connected = bool(server_data.get("helper_connected"))
logger.info(
"[bluebubbles] connected to %s (private_api=%s, helper=%s)",
self.server_url,
self._private_api_enabled,
self._helper_connected,
)
except Exception as exc:
logger.error(
"[bluebubbles] cannot reach server at %s: %s", self.server_url, exc
)
if self.client:
await self.client.aclose()
self.client = None
return False
app = web.Application()
app.router.add_get("/health", lambda _: web.Response(text="ok"))
app.router.add_post(self.webhook_path, self._handle_webhook)
self._runner = web.AppRunner(app)
await self._runner.setup()
site = web.TCPSite(self._runner, self.webhook_host, self.webhook_port)
await site.start()
self._mark_connected()
logger.info(
"[bluebubbles] webhook listening on http://%s:%s%s",
self.webhook_host,
self.webhook_port,
self.webhook_path,
)
return True
async def disconnect(self) -> None:
if self.client:
await self.client.aclose()
self.client = None
if self._runner:
await self._runner.cleanup()
self._runner = None
self._mark_disconnected()
# ------------------------------------------------------------------
# Chat GUID resolution
# ------------------------------------------------------------------
async def _resolve_chat_guid(self, target: str) -> Optional[str]:
"""Resolve an email/phone to a BlueBubbles chat GUID.
If *target* already contains a semicolon (raw GUID format like
``iMessage;-;user@example.com``), it is returned as-is. Otherwise
the adapter queries the BlueBubbles chat list and matches on
``chatIdentifier`` or participant address.
"""
target = (target or "").strip()
if not target:
return None
# Already a raw GUID
if ";" in target:
return target
if target in self._guid_cache:
return self._guid_cache[target]
try:
payload = await self._api_post(
"/api/v1/chat/query",
{"limit": 100, "offset": 0, "with": ["participants"]},
)
for chat in payload.get("data", []) or []:
guid = chat.get("guid") or chat.get("chatGuid")
identifier = chat.get("chatIdentifier") or chat.get("identifier")
if identifier == target:
if guid:
self._guid_cache[target] = guid
return guid
for part in chat.get("participants", []) or []:
if (part.get("address") or "").strip() == target and guid:
self._guid_cache[target] = guid
return guid
except Exception:
pass
return None
async def _create_chat_for_handle(
self, address: str, message: str
) -> SendResult:
"""Create a new chat by sending the first message to *address*."""
payload = {
"addresses": [address],
"message": message,
"tempGuid": f"temp-{datetime.utcnow().timestamp()}",
}
try:
res = await self._api_post("/api/v1/chat/new", payload)
data = res.get("data") or {}
msg_id = data.get("guid") or data.get("messageGuid") or "ok"
return SendResult(success=True, message_id=str(msg_id), raw_response=res)
except Exception as exc:
return SendResult(success=False, error=str(exc))
# ------------------------------------------------------------------
# Text sending
# ------------------------------------------------------------------
async def send(
self,
chat_id: str,
content: str,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
text = _strip_markdown(content or "")
if not text:
return SendResult(success=False, error="BlueBubbles send requires text")
chunks = self.truncate_message(text, max_length=self.MAX_MESSAGE_LENGTH)
last = SendResult(success=True)
for chunk in chunks:
guid = await self._resolve_chat_guid(chat_id)
if not guid:
# If the target looks like an address, try creating a new chat
if self._private_api_enabled and (
"@" in chat_id or re.match(r"^\+\d+", chat_id)
):
return await self._create_chat_for_handle(chat_id, chunk)
return SendResult(
success=False,
error=f"BlueBubbles chat not found for target: {chat_id}",
)
payload: Dict[str, Any] = {
"chatGuid": guid,
"tempGuid": f"temp-{datetime.utcnow().timestamp()}",
"message": chunk,
}
if reply_to and self._private_api_enabled and self._helper_connected:
payload["method"] = "private-api"
payload["selectedMessageGuid"] = reply_to
payload["partIndex"] = 0
try:
res = await self._api_post("/api/v1/message/text", payload)
data = res.get("data") or {}
msg_id = data.get("guid") or data.get("messageGuid") or "ok"
last = SendResult(
success=True, message_id=str(msg_id), raw_response=res
)
except Exception as exc:
return SendResult(success=False, error=str(exc))
return last
# ------------------------------------------------------------------
# Media sending (outbound)
# ------------------------------------------------------------------
async def _send_attachment(
self,
chat_id: str,
file_path: str,
filename: Optional[str] = None,
caption: Optional[str] = None,
is_audio_message: bool = False,
) -> SendResult:
"""Send a file attachment via BlueBubbles multipart upload."""
if not self.client:
return SendResult(success=False, error="Not connected")
if not os.path.isfile(file_path):
return SendResult(success=False, error=f"File not found: {file_path}")
guid = await self._resolve_chat_guid(chat_id)
if not guid:
return SendResult(success=False, error=f"Chat not found: {chat_id}")
fname = filename or os.path.basename(file_path)
try:
with open(file_path, "rb") as f:
files = {"attachment": (fname, f, "application/octet-stream")}
data: Dict[str, str] = {
"chatGuid": guid,
"name": fname,
"tempGuid": uuid.uuid4().hex,
}
if is_audio_message:
data["isAudioMessage"] = "true"
res = await self.client.post(
self._api_url("/api/v1/message/attachment"),
files=files,
data=data,
timeout=120,
)
res.raise_for_status()
result = res.json()
if caption:
await self.send(chat_id, caption)
if result.get("status") == 200:
rdata = result.get("data") or {}
msg_id = rdata.get("guid") if isinstance(rdata, dict) else None
return SendResult(
success=True, message_id=msg_id, raw_response=result
)
return SendResult(
success=False,
error=result.get("message", "Attachment upload failed"),
)
except Exception as e:
return SendResult(success=False, error=str(e))
async def send_image(
self,
chat_id: str,
image_url: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
try:
from gateway.platforms.base import cache_image_from_url
local_path = await cache_image_from_url(image_url)
return await self._send_attachment(chat_id, local_path, caption=caption)
except Exception:
return await super().send_image(chat_id, image_url, caption, reply_to)
async def send_image_file(
self,
chat_id: str,
image_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
return await self._send_attachment(chat_id, image_path, caption=caption)
async def send_voice(
self,
chat_id: str,
audio_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
return await self._send_attachment(
chat_id, audio_path, caption=caption, is_audio_message=True
)
async def send_video(
self,
chat_id: str,
video_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
return await self._send_attachment(chat_id, video_path, caption=caption)
async def send_document(
self,
chat_id: str,
file_path: str,
caption: Optional[str] = None,
file_name: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
return await self._send_attachment(
chat_id, file_path, filename=file_name, caption=caption
)
async def send_animation(
self,
chat_id: str,
animation_url: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
return await self.send_image(
chat_id, animation_url, caption, reply_to, metadata
)
# ------------------------------------------------------------------
# Typing indicators
# ------------------------------------------------------------------
async def send_typing(self, chat_id: str, metadata=None) -> None:
if not self._private_api_enabled or not self._helper_connected or not self.client:
return
try:
guid = await self._resolve_chat_guid(chat_id)
if guid:
encoded = quote(guid, safe="")
await self.client.post(
self._api_url(f"/api/v1/chat/{encoded}/typing"), timeout=5
)
except Exception:
pass
async def stop_typing(self, chat_id: str) -> None:
if not self._private_api_enabled or not self._helper_connected or not self.client:
return
try:
guid = await self._resolve_chat_guid(chat_id)
if guid:
encoded = quote(guid, safe="")
await self.client.delete(
self._api_url(f"/api/v1/chat/{encoded}/typing"), timeout=5
)
except Exception:
pass
# ------------------------------------------------------------------
# Read receipts
# ------------------------------------------------------------------
async def mark_read(self, chat_id: str) -> bool:
if not self._private_api_enabled or not self._helper_connected or not self.client:
return False
try:
guid = await self._resolve_chat_guid(chat_id)
if guid:
encoded = quote(guid, safe="")
await self.client.post(
self._api_url(f"/api/v1/chat/{encoded}/read"), timeout=5
)
return True
except Exception:
pass
return False
# ------------------------------------------------------------------
# Tapback reactions
# ------------------------------------------------------------------
async def send_reaction(
self,
chat_id: str,
message_guid: str,
reaction: str,
part_index: int = 0,
) -> SendResult:
"""Send a tapback reaction (requires Private API helper)."""
if not self._private_api_enabled or not self._helper_connected:
return SendResult(
success=False, error="Private API helper not connected"
)
guid = await self._resolve_chat_guid(chat_id)
if not guid:
return SendResult(success=False, error=f"Chat not found: {chat_id}")
try:
res = await self._api_post(
"/api/v1/message/react",
{
"chatGuid": guid,
"selectedMessageGuid": message_guid,
"reaction": reaction,
"partIndex": part_index,
},
)
return SendResult(success=True, raw_response=res)
except Exception as exc:
return SendResult(success=False, error=str(exc))
# ------------------------------------------------------------------
# Chat info
# ------------------------------------------------------------------
async def get_chat_info(self, chat_id: str) -> Dict[str, Any]:
is_group = ";+;" in (chat_id or "")
info: Dict[str, Any] = {
"name": chat_id,
"type": "group" if is_group else "dm",
}
try:
guid = await self._resolve_chat_guid(chat_id)
if guid:
encoded = quote(guid, safe="")
res = await self._api_get(
f"/api/v1/chat/{encoded}?with=participants"
)
data = (res or {}).get("data", {})
display_name = (
data.get("displayName")
or data.get("chatIdentifier")
or chat_id
)
participants = []
for p in data.get("participants", []) or []:
addr = (p.get("address") or "").strip()
if addr:
participants.append(addr)
info["name"] = display_name
if participants:
info["participants"] = participants
except Exception:
pass
return info
def format_message(self, content: str) -> str:
return _strip_markdown(content)
# ------------------------------------------------------------------
# Inbound attachment downloading (from #4588)
# ------------------------------------------------------------------
async def _download_attachment(
self, att_guid: str, att_meta: Dict[str, Any]
) -> Optional[str]:
"""Download an attachment from BlueBubbles and cache it locally.
Returns the local file path on success, None on failure.
"""
if not self.client:
return None
try:
encoded = quote(att_guid, safe="")
resp = await self.client.get(
self._api_url(f"/api/v1/attachment/{encoded}/download"),
timeout=60,
follow_redirects=True,
)
resp.raise_for_status()
data = resp.content
mime = (att_meta.get("mimeType") or "").lower()
transfer_name = att_meta.get("transferName", "")
if mime.startswith("image/"):
ext_map = {
"image/jpeg": ".jpg",
"image/png": ".png",
"image/gif": ".gif",
"image/webp": ".webp",
"image/heic": ".jpg",
"image/heif": ".jpg",
"image/tiff": ".jpg",
}
ext = ext_map.get(mime, ".jpg")
return cache_image_from_bytes(data, ext)
if mime.startswith("audio/"):
ext_map = {
"audio/mp3": ".mp3",
"audio/mpeg": ".mp3",
"audio/ogg": ".ogg",
"audio/wav": ".wav",
"audio/x-caf": ".mp3",
"audio/mp4": ".m4a",
"audio/aac": ".m4a",
}
ext = ext_map.get(mime, ".mp3")
return cache_audio_from_bytes(data, ext)
# Videos, documents, and everything else
filename = transfer_name or f"file_{uuid.uuid4().hex[:8]}"
return cache_document_from_bytes(data, filename)
except Exception as exc:
logger.warning(
"[bluebubbles] failed to download attachment %s: %s",
_redact(att_guid),
exc,
)
return None
# ------------------------------------------------------------------
# Webhook handling
# ------------------------------------------------------------------
def _extract_payload_record(
self, payload: Dict[str, Any]
) -> Optional[Dict[str, Any]]:
data = payload.get("data")
if isinstance(data, dict):
return data
if isinstance(data, list):
for item in data:
if isinstance(item, dict):
return item
if isinstance(payload.get("message"), dict):
return payload.get("message")
return payload if isinstance(payload, dict) else None
@staticmethod
def _value(*candidates: Any) -> Optional[str]:
for candidate in candidates:
if isinstance(candidate, str) and candidate.strip():
return candidate.strip()
return None
async def _handle_webhook(self, request):
from aiohttp import web
token = (
request.query.get("password")
or request.query.get("guid")
or request.headers.get("x-password")
or request.headers.get("x-guid")
or request.headers.get("x-bluebubbles-guid")
)
if token != self.password:
return web.json_response({"error": "unauthorized"}, status=401)
try:
raw = await request.read()
body = raw.decode("utf-8", errors="replace")
try:
payload = json.loads(body)
except Exception:
from urllib.parse import parse_qs
form = parse_qs(body)
payload_str = (
form.get("payload")
or form.get("data")
or form.get("message")
or [""]
)[0]
payload = json.loads(payload_str) if payload_str else {}
except Exception as exc:
logger.error("[bluebubbles] webhook parse error: %s", exc)
return web.json_response({"error": "invalid payload"}, status=400)
event_type = self._value(payload.get("type"), payload.get("event")) or ""
# Only process message events; silently acknowledge everything else
if event_type and event_type not in _MESSAGE_EVENTS:
return web.Response(text="ok")
record = self._extract_payload_record(payload) or {}
is_from_me = bool(
record.get("isFromMe")
or record.get("fromMe")
or record.get("is_from_me")
)
if is_from_me:
return web.Response(text="ok")
# Skip tapback reactions delivered as messages
assoc_type = record.get("associatedMessageType")
if isinstance(assoc_type, int) and assoc_type in {
**_TAPBACK_ADDED,
**_TAPBACK_REMOVED,
}:
return web.Response(text="ok")
text = (
self._value(
record.get("text"), record.get("message"), record.get("body")
)
or ""
)
# --- Inbound attachment handling ---
attachments = record.get("attachments") or []
media_urls: List[str] = []
media_types: List[str] = []
msg_type = MessageType.TEXT
for att in attachments:
att_guid = att.get("guid", "")
if not att_guid:
continue
cached = await self._download_attachment(att_guid, att)
if cached:
mime = (att.get("mimeType") or "").lower()
media_urls.append(cached)
media_types.append(mime)
if mime.startswith("image/"):
msg_type = MessageType.PHOTO
elif mime.startswith("audio/") or (att.get("uti") or "").endswith(
"caf"
):
msg_type = MessageType.VOICE
elif mime.startswith("video/"):
msg_type = MessageType.VIDEO
else:
msg_type = MessageType.DOCUMENT
# With multiple attachments, prefer PHOTO if any images present
if len(media_urls) > 1:
mime_prefixes = {(m or "").split("/")[0] for m in media_types}
if "image" in mime_prefixes:
msg_type = MessageType.PHOTO
if not text and media_urls:
text = "(attachment)"
# --- End attachment handling ---
chat_guid = self._value(
record.get("chatGuid"),
payload.get("chatGuid"),
record.get("chat_guid"),
payload.get("chat_guid"),
payload.get("guid"),
)
chat_identifier = self._value(
record.get("chatIdentifier"),
record.get("identifier"),
payload.get("chatIdentifier"),
payload.get("identifier"),
)
sender = (
self._value(
record.get("handle", {}).get("address")
if isinstance(record.get("handle"), dict)
else None,
record.get("sender"),
record.get("from"),
record.get("address"),
)
or chat_identifier
or chat_guid
)
if not (chat_guid or chat_identifier) and sender:
chat_identifier = sender
if not sender or not (chat_guid or chat_identifier) or not text:
return web.json_response({"error": "missing message fields"}, status=400)
session_chat_id = chat_guid or chat_identifier
is_group = bool(record.get("isGroup")) or (";+;" in (chat_guid or ""))
source = self.build_source(
chat_id=session_chat_id,
chat_name=chat_identifier or sender,
chat_type="group" if is_group else "dm",
user_id=sender,
user_name=sender,
chat_id_alt=chat_identifier,
)
event = MessageEvent(
text=text,
message_type=msg_type,
source=source,
raw_message=payload,
message_id=self._value(
record.get("guid"),
record.get("messageGuid"),
record.get("id"),
),
reply_to_message_id=self._value(
record.get("threadOriginatorGuid"),
record.get("associatedMessageGuid"),
),
media_urls=media_urls,
media_types=media_types,
)
task = asyncio.create_task(self.handle_message(event))
self._background_tasks.add(task)
task.add_done_callback(self._background_tasks.discard)
# Fire-and-forget read receipt
if self.send_read_receipts and session_chat_id:
asyncio.create_task(self.mark_read(session_chat_id))
return web.Response(text="ok")
+12 -55
View File
@@ -55,7 +55,6 @@ from gateway.platforms.base import (
cache_document_from_bytes,
SUPPORTED_DOCUMENT_TYPES,
)
from tools.url_safety import is_safe_url
def _clean_discord_id(entry: str) -> str:
@@ -455,9 +454,6 @@ class DiscordAdapter(BasePlatformAdapter):
self._seen_messages: Dict[str, float] = {}
self._SEEN_TTL = 300 # 5 minutes
self._SEEN_MAX = 2000 # prune threshold
# Reply threading mode: "off" (no replies), "first" (reply on first
# chunk only, default), "all" (reply-reference on every chunk).
self._reply_to_mode: str = getattr(config, 'reply_to_mode', 'first') or 'first'
async def connect(self) -> bool:
"""Connect to Discord and start receiving events."""
@@ -777,7 +773,7 @@ class DiscordAdapter(BasePlatformAdapter):
message_ids = []
reference = None
if reply_to and self._reply_to_mode != "off":
if reply_to:
try:
ref_msg = await channel.fetch_message(int(reply_to))
reference = ref_msg
@@ -785,10 +781,7 @@ class DiscordAdapter(BasePlatformAdapter):
logger.debug("Could not fetch reply-to message: %s", e)
for i, chunk in enumerate(chunks):
if self._reply_to_mode == "all":
chunk_reference = reference
else: # "first" (default) or "off"
chunk_reference = reference if i == 0 else None
chunk_reference = reference if i == 0 else None
try:
msg = await channel.send(
content=chunk,
@@ -1292,10 +1285,6 @@ class DiscordAdapter(BasePlatformAdapter):
if not self._client:
return SendResult(success=False, error="Not connected")
if not is_safe_url(image_url):
logger.warning("[%s] Blocked unsafe image URL during Discord send_image", self.name)
return await super().send_image(chat_id, image_url, caption, reply_to, metadata=metadata)
try:
import aiohttp
@@ -1767,9 +1756,8 @@ class DiscordAdapter(BasePlatformAdapter):
if hasattr(interaction.channel, "guild") and interaction.channel.guild:
chat_name = f"{interaction.channel.guild.name} / #{chat_name}"
# Get channel topic (if available).
# For forum threads, inherit the parent forum's topic.
chat_topic = self._get_effective_topic(interaction.channel, is_thread=is_thread)
# Get channel topic (if available)
chat_topic = getattr(interaction.channel, "topic", None)
source = self.build_source(
chat_id=str(interaction.channel_id),
@@ -1843,10 +1831,6 @@ class DiscordAdapter(BasePlatformAdapter):
chat_name = f"{guild_name} / {thread_name}" if guild_name else thread_name
# Inherit forum topic when the thread was created inside a forum channel.
_chan = getattr(interaction, "channel", None)
chat_topic = self._get_effective_topic(_chan, is_thread=True) if _chan else None
source = self.build_source(
chat_id=thread_id,
chat_name=chat_name,
@@ -1854,7 +1838,6 @@ class DiscordAdapter(BasePlatformAdapter):
user_id=str(interaction.user.id),
user_name=interaction.user.display_name,
thread_id=thread_id,
chat_topic=chat_topic,
)
event = MessageEvent(
@@ -2140,15 +2123,6 @@ class DiscordAdapter(BasePlatformAdapter):
return True
return False
def _get_effective_topic(self, channel: Any, is_thread: bool = False) -> Optional[str]:
"""Return the channel topic, falling back to the parent forum's topic for forum threads."""
topic = getattr(channel, "topic", None)
if not topic and is_thread:
parent = getattr(channel, "parent", None)
if parent and self._is_forum_parent(parent):
topic = getattr(parent, "topic", None)
return topic
def _format_thread_chat_name(self, thread: Any) -> str:
"""Build a readable chat name for thread-like Discord channels, including forum context when available."""
thread_name = getattr(thread, "name", None) or str(getattr(thread, "id", "thread"))
@@ -2214,11 +2188,9 @@ class DiscordAdapter(BasePlatformAdapter):
# UNLESS the channel is in the free-response list or the message is
# in a thread where the bot has already participated.
#
# Config (all settable via discord.* in config.yaml or DISCORD_* env vars):
# Config (all settable via discord.* in config.yaml):
# discord.require_mention: Require @mention in server channels (default: true)
# discord.free_response_channels: Channel IDs where bot responds without mention
# discord.ignored_channels: Channel IDs where bot NEVER responds (even when mentioned)
# discord.no_thread_channels: Channel IDs where bot responds directly without creating thread
# discord.auto_thread: Auto-create thread on @mention in channels (default: true)
thread_id = None
@@ -2229,18 +2201,9 @@ class DiscordAdapter(BasePlatformAdapter):
parent_channel_id = self._get_parent_channel_id(message.channel)
if not isinstance(message.channel, discord.DMChannel):
# Check ignored channels first - 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()}
channel_ids = {str(message.channel.id)}
if parent_channel_id:
channel_ids.add(parent_channel_id)
if channel_ids & ignored_channels:
logger.debug("[%s] Ignoring message in ignored channel: %s", self.name, channel_ids)
return
free_channels_raw = os.getenv("DISCORD_FREE_RESPONSE_CHANNELS", "")
free_channels = {ch.strip() for ch in free_channels_raw.split(",") if ch.strip()}
channel_ids = {str(message.channel.id)}
if parent_channel_id:
channel_ids.add(parent_channel_id)
@@ -2262,14 +2225,10 @@ class DiscordAdapter(BasePlatformAdapter):
# Auto-thread: when enabled, automatically create a thread for every
# @mention in a text channel so each conversation is isolated (like Slack).
# Messages already inside threads or DMs are unaffected.
# no_thread_channels: channels where bot responds directly without thread.
auto_threaded_channel = None
if not is_thread and not isinstance(message.channel, discord.DMChannel):
no_thread_channels_raw = os.getenv("DISCORD_NO_THREAD_CHANNELS", "")
no_thread_channels = {ch.strip() for ch in no_thread_channels_raw.split(",") if ch.strip()}
skip_thread = bool(channel_ids & no_thread_channels)
auto_thread = os.getenv("DISCORD_AUTO_THREAD", "true").lower() in ("true", "1", "yes")
if auto_thread and not skip_thread:
if auto_thread:
thread = await self._auto_create_thread(message)
if thread:
is_thread = True
@@ -2316,10 +2275,8 @@ class DiscordAdapter(BasePlatformAdapter):
if hasattr(message.channel, "guild") and message.channel.guild:
chat_name = f"{message.channel.guild.name} / #{chat_name}"
# Get channel topic (if available - TextChannels have topics, DMs/threads don't).
# For threads whose parent is a forum channel, inherit the parent's topic
# so forum descriptions (e.g. project instructions) appear in the session context.
chat_topic = self._get_effective_topic(message.channel, is_thread=is_thread)
# Get channel topic (if available - TextChannels have topics, DMs/threads don't)
chat_topic = getattr(message.channel, "topic", None)
# Build source
source = self.build_source(
@@ -2382,7 +2339,7 @@ class DiscordAdapter(BasePlatformAdapter):
ext or "unknown", content_type,
)
else:
MAX_DOC_BYTES = 32 * 1024 * 1024
MAX_DOC_BYTES = 20 * 1024 * 1024
if att.size and att.size > MAX_DOC_BYTES:
logger.warning(
"[Discord] Document too large (%s bytes), skipping: %s",
@@ -2406,9 +2363,9 @@ class DiscordAdapter(BasePlatformAdapter):
media_urls.append(cached_path)
media_types.append(doc_mime)
logger.info("[Discord] Cached user document: %s", cached_path)
# Inject text content for plain-text documents (capped at 100 KB)
# Inject text content for .txt/.md files (capped at 100 KB)
MAX_TEXT_INJECT_BYTES = 100 * 1024
if ext in (".md", ".txt", ".log") and len(raw_bytes) <= MAX_TEXT_INJECT_BYTES:
if ext in (".md", ".txt") and len(raw_bytes) <= MAX_TEXT_INJECT_BYTES:
try:
text_content = raw_bytes.decode("utf-8")
display_name = att.filename or f"document{ext}"
+4 -153
View File
@@ -20,7 +20,6 @@ from __future__ import annotations
import asyncio
import hashlib
import hmac
import itertools
import json
import logging
import mimetypes
@@ -1053,9 +1052,6 @@ class FeishuAdapter(BasePlatformAdapter):
self._media_batch_state = FeishuBatchState()
self._pending_media_batches = self._media_batch_state.events
self._pending_media_batch_tasks = self._media_batch_state.tasks
# Exec approval button state (approval_id → {session_key, message_id, chat_id})
self._approval_state: Dict[int, Dict[str, str]] = {}
self._approval_counter = itertools.count(1)
self._load_seen_message_ids()
@staticmethod
@@ -1398,104 +1394,6 @@ class FeishuAdapter(BasePlatformAdapter):
logger.error("[Feishu] Failed to edit message %s: %s", message_id, exc, exc_info=True)
return SendResult(success=False, error=str(exc))
async def send_exec_approval(
self, chat_id: str, command: str, session_key: str,
description: str = "dangerous command",
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send an interactive card with approval buttons.
The buttons carry ``hermes_action`` in their value dict so that
``_handle_card_action_event`` can intercept them and call
``resolve_gateway_approval()`` to unblock the waiting agent thread.
"""
if not self._client:
return SendResult(success=False, error="Not connected")
try:
approval_id = next(self._approval_counter)
cmd_preview = command[:3000] + "..." if len(command) > 3000 else command
def _btn(label: str, action_name: str, btn_type: str = "default") -> dict:
return {
"tag": "button",
"text": {"tag": "plain_text", "content": label},
"type": btn_type,
"value": {"hermes_action": action_name, "approval_id": approval_id},
}
card = {
"config": {"wide_screen_mode": True},
"header": {
"title": {"content": "⚠️ Command Approval Required", "tag": "plain_text"},
"template": "orange",
},
"elements": [
{
"tag": "markdown",
"content": f"```\n{cmd_preview}\n```\n**Reason:** {description}",
},
{
"tag": "action",
"actions": [
_btn("✅ Allow Once", "approve_once", "primary"),
_btn("✅ Session", "approve_session"),
_btn("✅ Always", "approve_always"),
_btn("❌ Deny", "deny", "danger"),
],
},
],
}
payload = json.dumps(card, ensure_ascii=False)
response = await self._feishu_send_with_retry(
chat_id=chat_id,
msg_type="interactive",
payload=payload,
reply_to=None,
metadata=metadata,
)
result = self._finalize_send_result(response, "send_exec_approval failed")
if result.success:
self._approval_state[approval_id] = {
"session_key": session_key,
"message_id": result.message_id or "",
"chat_id": chat_id,
}
return result
except Exception as exc:
logger.warning("[Feishu] send_exec_approval failed: %s", exc)
return SendResult(success=False, error=str(exc))
async def _update_approval_card(
self, message_id: str, label: str, user_name: str, choice: str,
) -> None:
"""Replace the approval card with a resolved status card."""
if not self._client or not message_id:
return
icon = "" if choice == "deny" else ""
card = {
"config": {"wide_screen_mode": True},
"header": {
"title": {"content": f"{icon} {label}", "tag": "plain_text"},
"template": "red" if choice == "deny" else "green",
},
"elements": [
{
"tag": "markdown",
"content": f"{icon} **{label}** by {user_name}",
},
],
}
try:
payload = json.dumps(card, ensure_ascii=False)
body = self._build_update_message_body(msg_type="interactive", content=payload)
request = self._build_update_message_request(message_id=message_id, request_body=body)
await asyncio.to_thread(self._client.im.v1.message.update, request)
except Exception as exc:
logger.warning("[Feishu] Failed to update approval card %s: %s", message_id, exc)
async def send_voice(
self,
chat_id: str,
@@ -1922,52 +1820,6 @@ class FeishuAdapter(BasePlatformAdapter):
action = getattr(event, "action", None)
action_tag = str(getattr(action, "tag", "") or "button")
action_value = getattr(action, "value", {}) or {}
# --- Exec approval button intercept ---
hermes_action = action_value.get("hermes_action") if isinstance(action_value, dict) else None
if hermes_action:
approval_id = action_value.get("approval_id")
state = self._approval_state.pop(approval_id, None)
if not state:
logger.debug("[Feishu] Approval %s already resolved or unknown", approval_id)
return
choice_map = {
"approve_once": "once",
"approve_session": "session",
"approve_always": "always",
"deny": "deny",
}
choice = choice_map.get(hermes_action, "deny")
label_map = {
"once": "Approved once",
"session": "Approved for session",
"always": "Approved permanently",
"deny": "Denied",
}
label = label_map.get(choice, "Resolved")
# Resolve sender name for the status card
sender_id = SimpleNamespace(open_id=open_id, user_id=None, union_id=None)
sender_profile = await self._resolve_sender_profile(sender_id)
user_name = sender_profile.get("user_name") or open_id
# Resolve the approval — unblocks the agent thread
try:
from tools.approval import resolve_gateway_approval
count = resolve_gateway_approval(state["session_key"], choice)
logger.info(
"Feishu button resolved %d approval(s) for session %s (choice=%s, user=%s)",
count, state["session_key"], choice, user_name,
)
except Exception as exc:
logger.error("Failed to resolve gateway approval from Feishu button: %s", exc)
# Update the card to show the decision
await self._update_approval_card(state.get("message_id", ""), label, user_name, choice)
return
synthetic_text = f"/card {action_tag}"
if action_value:
try:
@@ -2213,7 +2065,10 @@ class FeishuAdapter(BasePlatformAdapter):
existing.media_urls.extend(event.media_urls)
existing.media_types.extend(event.media_types)
if event.text:
existing.text = self._merge_caption(existing.text, event.text)
if not existing.text:
existing.text = event.text
elif event.text not in existing.text.split("\n\n"):
existing.text = f"{existing.text}\n\n{event.text}"
existing.timestamp = event.timestamp
if event.message_id:
existing.message_id = event.message_id
@@ -2257,10 +2112,6 @@ class FeishuAdapter(BasePlatformAdapter):
default_ext: str,
preferred_name: str,
) -> tuple[str, str]:
from tools.url_safety import is_safe_url
if not is_safe_url(file_url):
raise ValueError(f"Blocked unsafe URL (SSRF protection): {file_url[:80]}")
import httpx
async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
-5
View File
@@ -586,11 +586,6 @@ class MatrixAdapter(BasePlatformAdapter):
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Download an image URL and upload it to Matrix."""
from tools.url_safety import is_safe_url
if not is_safe_url(image_url):
logger.warning("Matrix: blocked unsafe image URL (SSRF protection)")
return await super().send_image(chat_id, image_url, caption, reply_to, metadata=metadata)
try:
# Try aiohttp first (always available), fall back to httpx
try:
-5
View File
@@ -407,11 +407,6 @@ class MattermostAdapter(BasePlatformAdapter):
kind: str = "file",
) -> SendResult:
"""Download a URL and upload it as a file attachment."""
from tools.url_safety import is_safe_url
if not is_safe_url(url):
logger.warning("Mattermost: blocked unsafe URL (SSRF protection)")
return await self.send(chat_id, f"{caption or ''}\n{url}".strip(), reply_to)
import asyncio
import aiohttp
+1 -10
View File
@@ -647,11 +647,7 @@ class SignalAdapter(BasePlatformAdapter):
if result is not None:
self._track_sent_timestamp(result)
# Use the timestamp from the RPC result as a pseudo message_id.
# Signal doesn't have real message IDs, but the stream consumer
# needs a truthy value to follow its edit→fallback path correctly.
_msg_id = str(result.get("timestamp", "")) if isinstance(result, dict) else None
return SendResult(success=True, message_id=_msg_id or None)
return SendResult(success=True)
return SendResult(success=False, error="RPC send failed")
def _track_sent_timestamp(self, rpc_result) -> None:
@@ -841,11 +837,6 @@ class SignalAdapter(BasePlatformAdapter):
except asyncio.CancelledError:
pass
async def stop_typing(self, chat_id: str) -> None:
"""Public interface for stopping typing — called by base adapter's
_keep_typing finally block to clean up platform-level typing tasks."""
await self._stop_typing_indicator(chat_id)
# ------------------------------------------------------------------
# Chat Info
# ------------------------------------------------------------------
+4 -165
View File
@@ -14,7 +14,7 @@ import logging
import os
import re
import time
from typing import Dict, Optional, Any, Tuple
from typing import Dict, Optional, Any
try:
from slack_bolt.async_app import AsyncApp
@@ -95,12 +95,6 @@ class SlackAdapter(BasePlatformAdapter):
# respond to ALL subsequent messages in that thread automatically.
self._mentioned_threads: set = set()
self._MENTIONED_THREADS_MAX = 5000
# Assistant thread metadata keyed by (channel_id, thread_ts). Slack's
# AI Assistant lifecycle events can arrive before/alongside message
# events, and they carry the user/thread identity needed for stable
# session + memory scoping.
self._assistant_threads: Dict[Tuple[str, str], Dict[str, str]] = {}
self._ASSISTANT_THREADS_MAX = 5000
async def connect(self) -> bool:
"""Connect to Slack via Socket Mode."""
@@ -187,14 +181,6 @@ class SlackAdapter(BasePlatformAdapter):
async def handle_app_mention(event, say):
pass
@self._app.event("assistant_thread_started")
async def handle_assistant_thread_started(event, say):
await self._handle_assistant_thread_lifecycle_event(event)
@self._app.event("assistant_thread_context_changed")
async def handle_assistant_thread_context_changed(event, say):
await self._handle_assistant_thread_lifecycle_event(event)
# Register slash command handler
@self._app.command("/hermes")
async def handle_hermes_command(ack, command):
@@ -609,11 +595,6 @@ class SlackAdapter(BasePlatformAdapter):
if not self._app:
return SendResult(success=False, error="Not connected")
from tools.url_safety import is_safe_url
if not is_safe_url(image_url):
logger.warning("[Slack] Blocked unsafe image URL (SSRF protection)")
return await super().send_image(chat_id, image_url, caption, reply_to, metadata=metadata)
try:
import httpx
@@ -769,135 +750,6 @@ class SlackAdapter(BasePlatformAdapter):
# ----- Internal handlers -----
def _assistant_thread_key(self, channel_id: str, thread_ts: str) -> Optional[Tuple[str, str]]:
"""Return a stable cache key for Slack assistant thread metadata."""
if not channel_id or not thread_ts:
return None
return (str(channel_id), str(thread_ts))
def _extract_assistant_thread_metadata(self, event: dict) -> Dict[str, str]:
"""Extract Slack Assistant thread identity data from an event payload."""
assistant_thread = event.get("assistant_thread") or {}
context = assistant_thread.get("context") or event.get("context") or {}
channel_id = (
assistant_thread.get("channel_id")
or event.get("channel")
or context.get("channel_id")
or ""
)
thread_ts = (
assistant_thread.get("thread_ts")
or event.get("thread_ts")
or event.get("message_ts")
or ""
)
user_id = (
assistant_thread.get("user_id")
or event.get("user")
or context.get("user_id")
or ""
)
team_id = (
event.get("team")
or event.get("team_id")
or assistant_thread.get("team_id")
or ""
)
context_channel_id = context.get("channel_id") or ""
return {
"channel_id": str(channel_id) if channel_id else "",
"thread_ts": str(thread_ts) if thread_ts else "",
"user_id": str(user_id) if user_id else "",
"team_id": str(team_id) if team_id else "",
"context_channel_id": str(context_channel_id) if context_channel_id else "",
}
def _cache_assistant_thread_metadata(self, metadata: Dict[str, str]) -> None:
"""Remember assistant thread identity data for later message events."""
channel_id = metadata.get("channel_id", "")
thread_ts = metadata.get("thread_ts", "")
key = self._assistant_thread_key(channel_id, thread_ts)
if not key:
return
existing = self._assistant_threads.get(key, {})
merged = dict(existing)
merged.update({k: v for k, v in metadata.items() if v})
self._assistant_threads[key] = merged
# Evict oldest entries when the cache exceeds the limit
if len(self._assistant_threads) > self._ASSISTANT_THREADS_MAX:
excess = len(self._assistant_threads) - self._ASSISTANT_THREADS_MAX // 2
for old_key in list(self._assistant_threads)[:excess]:
del self._assistant_threads[old_key]
team_id = merged.get("team_id", "")
if team_id and channel_id:
self._channel_team[channel_id] = team_id
def _lookup_assistant_thread_metadata(
self,
event: dict,
channel_id: str = "",
thread_ts: str = "",
) -> Dict[str, str]:
"""Load cached assistant-thread metadata that matches the current event."""
metadata = self._extract_assistant_thread_metadata(event)
if channel_id and not metadata.get("channel_id"):
metadata["channel_id"] = channel_id
if thread_ts and not metadata.get("thread_ts"):
metadata["thread_ts"] = thread_ts
key = self._assistant_thread_key(
metadata.get("channel_id", ""),
metadata.get("thread_ts", ""),
)
cached = self._assistant_threads.get(key, {}) if key else {}
if cached:
merged = dict(cached)
merged.update({k: v for k, v in metadata.items() if v})
return merged
return metadata
def _seed_assistant_thread_session(self, metadata: Dict[str, str]) -> None:
"""Prime the session store so assistant threads get stable user scoping."""
session_store = getattr(self, "_session_store", None)
if not session_store:
return
channel_id = metadata.get("channel_id", "")
thread_ts = metadata.get("thread_ts", "")
user_id = metadata.get("user_id", "")
if not channel_id or not thread_ts or not user_id:
return
source = self.build_source(
chat_id=channel_id,
chat_name=channel_id,
chat_type="dm",
user_id=user_id,
thread_id=thread_ts,
chat_topic=metadata.get("context_channel_id") or None,
)
try:
session_store.get_or_create_session(source)
except Exception:
logger.debug(
"[Slack] Failed to seed assistant thread session for %s/%s",
channel_id,
thread_ts,
exc_info=True,
)
async def _handle_assistant_thread_lifecycle_event(self, event: dict) -> None:
"""Handle Slack Assistant lifecycle events that carry user/thread identity."""
metadata = self._extract_assistant_thread_metadata(event)
self._cache_assistant_thread_metadata(metadata)
self._seed_assistant_thread_session(metadata)
async def _handle_slack_message(self, event: dict) -> None:
"""Handle an incoming Slack message event."""
# Dedup: Slack Socket Mode can redeliver events after reconnects (#4777)
@@ -924,21 +776,10 @@ class SlackAdapter(BasePlatformAdapter):
return
text = event.get("text", "")
user_id = event.get("user", "")
channel_id = event.get("channel", "")
ts = event.get("ts", "")
assistant_meta = self._lookup_assistant_thread_metadata(
event,
channel_id=channel_id,
thread_ts=event.get("thread_ts", ""),
)
user_id = event.get("user") or assistant_meta.get("user_id", "")
if not channel_id:
channel_id = assistant_meta.get("channel_id", "")
team_id = (
event.get("team")
or event.get("team_id")
or assistant_meta.get("team_id", "")
)
team_id = event.get("team", "")
# Track which workspace owns this channel
if team_id and channel_id:
@@ -946,8 +787,6 @@ class SlackAdapter(BasePlatformAdapter):
# Determine if this is a DM or channel message
channel_type = event.get("channel_type", "")
if not channel_type and channel_id.startswith("D"):
channel_type = "im"
is_dm = channel_type == "im"
# Build thread_ts for session keying.
@@ -956,7 +795,7 @@ class SlackAdapter(BasePlatformAdapter):
# In DMs: only use the real thread_ts — top-level DMs should share
# one continuous session, threaded DMs get their own session.
if is_dm:
thread_ts = event.get("thread_ts") or assistant_meta.get("thread_ts") # None for top-level DMs
thread_ts = event.get("thread_ts") # None for top-level DMs
else:
thread_ts = event.get("thread_ts") or ts # ts fallback for channels
+10 -51
View File
@@ -1632,12 +1632,7 @@ class TelegramAdapter(BasePlatformAdapter):
"""
if not self._bot:
return SendResult(success=False, error="Not connected")
from tools.url_safety import is_safe_url
if not is_safe_url(image_url):
logger.warning("[%s] Blocked unsafe image URL (SSRF protection)", self.name)
return await super().send_image(chat_id, image_url, caption, reply_to, metadata=metadata)
try:
# Telegram can send photos directly from URLs (up to ~5MB)
_photo_thread = metadata.get("thread_id") if metadata else None
@@ -2227,7 +2222,10 @@ class TelegramAdapter(BasePlatformAdapter):
existing.media_urls.extend(event.media_urls)
existing.media_types.extend(event.media_types)
if event.text:
existing.text = self._merge_caption(existing.text, event.text)
if not existing.text:
existing.text = event.text
elif event.text not in existing.text:
existing.text = f"{existing.text}\n\n{event.text}".strip()
prior_task = self._pending_photo_batch_tasks.get(batch_key)
if prior_task and not prior_task.done():
@@ -2417,7 +2415,11 @@ class TelegramAdapter(BasePlatformAdapter):
existing.media_urls.extend(event.media_urls)
existing.media_types.extend(event.media_types)
if event.text:
existing.text = self._merge_caption(existing.text, event.text)
if existing.text:
if event.text not in existing.text.split("\n\n"):
existing.text = f"{existing.text}\n\n{event.text}"
else:
existing.text = event.text
prior_task = self._media_group_tasks.get(media_group_id)
if prior_task:
@@ -2673,46 +2675,3 @@ class TelegramAdapter(BasePlatformAdapter):
auto_skill=topic_skill,
timestamp=message.date,
)
# ── Message reactions (processing lifecycle) ──────────────────────────
def _reactions_enabled(self) -> bool:
"""Check if message reactions are enabled via config/env."""
return os.getenv("TELEGRAM_REACTIONS", "false").lower() not in ("false", "0", "no")
async def _set_reaction(self, chat_id: str, message_id: str, emoji: str) -> bool:
"""Set a single emoji reaction on a Telegram message."""
if not self._bot:
return False
try:
await self._bot.set_message_reaction(
chat_id=int(chat_id),
message_id=int(message_id),
reaction=emoji,
)
return True
except Exception as e:
logger.debug("[%s] set_message_reaction failed (%s): %s", self.name, emoji, e)
return False
async def on_processing_start(self, event: MessageEvent) -> None:
"""Add an in-progress reaction when message processing begins."""
if not self._reactions_enabled():
return
chat_id = getattr(event.source, "chat_id", None)
message_id = getattr(event, "message_id", None)
if chat_id and message_id:
await self._set_reaction(chat_id, message_id, "\U0001f440")
async def on_processing_complete(self, event: MessageEvent, success: bool) -> None:
"""Swap the in-progress reaction for a final success/failure reaction.
Unlike Discord (additive reactions), Telegram's set_message_reaction
replaces all existing reactions in one call no remove step needed.
"""
if not self._reactions_enabled():
return
chat_id = getattr(event.source, "chat_id", None)
message_id = getattr(event, "message_id", None)
if chat_id and message_id:
await self._set_reaction(chat_id, message_id, "\u2705" if success else "\u274c")
+5 -39
View File
@@ -76,17 +76,8 @@ class WebhookAdapter(BasePlatformAdapter):
self._routes: Dict[str, dict] = dict(self._static_routes)
self._runner = None
# Delivery info keyed by session chat_id.
#
# Read by every send() invocation for the chat_id (status messages
# AND the final response). Cleaned up via TTL on each POST so the
# dict stays bounded — see _prune_delivery_info(). Do NOT pop on
# send(), or interim status messages (e.g. fallback notifications,
# context-pressure warnings) will consume the entry before the
# final response arrives, causing the response to silently fall
# back to the "log" deliver type.
# Delivery info keyed by session chat_id — consumed by send()
self._delivery_info: Dict[str, dict] = {}
self._delivery_info_created: Dict[str, float] = {}
# Reference to gateway runner for cross-platform delivery (set externally)
self.gateway_runner = None
@@ -169,14 +160,10 @@ class WebhookAdapter(BasePlatformAdapter):
) -> SendResult:
"""Deliver the agent's response to the configured destination.
chat_id is ``webhook:{route}:{delivery_id}``. The delivery info
stored during webhook receipt is read with ``.get()`` (not popped)
so that interim status messages emitted before the final response
fallback-model notifications, context-pressure warnings, etc.
do not consume the entry and silently downgrade the final response
to the ``log`` deliver type. TTL cleanup happens on POST.
chat_id is ``webhook:{route}:{delivery_id}`` we pop the delivery
info stored during webhook receipt so it doesn't leak memory.
"""
delivery = self._delivery_info.get(chat_id, {})
delivery = self._delivery_info.pop(chat_id, {})
deliver_type = delivery.get("deliver", "log")
if deliver_type == "log":
@@ -203,23 +190,6 @@ class WebhookAdapter(BasePlatformAdapter):
success=False, error=f"Unknown deliver type: {deliver_type}"
)
def _prune_delivery_info(self, now: float) -> None:
"""Drop delivery_info entries older than the idempotency TTL.
Mirrors the cleanup pattern used for ``_seen_deliveries``. Called
on each POST so the dict size is bounded by ``rate_limit * TTL``
even if many webhooks fire and never receive a final response.
"""
cutoff = now - self._idempotency_ttl
stale = [
k
for k, t in self._delivery_info_created.items()
if t < cutoff
]
for k in stale:
self._delivery_info.pop(k, None)
self._delivery_info_created.pop(k, None)
async def get_chat_info(self, chat_id: str) -> Dict[str, Any]:
return {"name": chat_id, "type": "webhook"}
@@ -412,9 +382,7 @@ class WebhookAdapter(BasePlatformAdapter):
# same route get independent agent runs (not queued/interrupted).
session_chat_id = f"webhook:{route_name}:{delivery_id}"
# Store delivery info for send(). Read by every send() invocation
# for this chat_id (interim status messages and the final response),
# so we do NOT pop on send. TTL-based cleanup keeps the dict bounded.
# Store delivery info for send() — consumed (popped) on delivery
deliver_config = {
"deliver": route_config.get("deliver", "log"),
"deliver_extra": self._render_delivery_extra(
@@ -423,8 +391,6 @@ class WebhookAdapter(BasePlatformAdapter):
"payload": payload,
}
self._delivery_info[session_chat_id] = deliver_config
self._delivery_info_created[session_chat_id] = now
self._prune_delivery_info(now)
# Build source and event
source = self.build_source(
-4
View File
@@ -910,10 +910,6 @@ class WeComAdapter(BasePlatformAdapter):
url: str,
max_bytes: int,
) -> Tuple[bytes, Dict[str, str]]:
from tools.url_safety import is_safe_url
if not is_safe_url(url):
raise ValueError(f"Blocked unsafe URL (SSRF protection): {url[:80]}")
if not HTTPX_AVAILABLE:
raise RuntimeError("httpx is required for WeCom media download")
+36 -145
View File
@@ -184,8 +184,6 @@ if _config_path.exists():
# Env var from .env takes precedence (already in os.environ).
if "gateway_timeout" in _agent_cfg and "HERMES_AGENT_TIMEOUT" not in os.environ:
os.environ["HERMES_AGENT_TIMEOUT"] = str(_agent_cfg["gateway_timeout"])
if "gateway_timeout_warning" in _agent_cfg and "HERMES_AGENT_TIMEOUT_WARNING" not in os.environ:
os.environ["HERMES_AGENT_TIMEOUT_WARNING"] = str(_agent_cfg["gateway_timeout_warning"])
# Timezone: bridge config.yaml → HERMES_TIMEZONE env var.
# HERMES_TIMEZONE from .env takes precedence (already in os.environ).
_tz_cfg = _cfg.get("timezone", "")
@@ -923,11 +921,12 @@ class GatewayRunner:
@staticmethod
def _load_reasoning_config() -> dict | None:
"""Load reasoning effort from config.yaml.
"""Load reasoning effort from config with env fallback.
Reads agent.reasoning_effort from config.yaml. Valid: "xhigh",
"high", "medium", "low", "minimal", "none". Returns None to use
default (medium).
Checks agent.reasoning_effort in config.yaml first, then
HERMES_REASONING_EFFORT as a fallback. Valid: "xhigh", "high",
"medium", "low", "minimal", "none". Returns None to use default
(medium).
"""
from hermes_constants import parse_reasoning_effort
effort = ""
@@ -940,6 +939,8 @@ class GatewayRunner:
effort = str(cfg.get("agent", {}).get("reasoning_effort", "") or "").strip()
except Exception:
pass
if not effort:
effort = os.getenv("HERMES_REASONING_EFFORT", "")
result = parse_reasoning_effort(effort)
if effort and effort.strip() and result is None:
logger.warning("Unknown reasoning_effort '%s', using default (medium)", effort)
@@ -1075,7 +1076,6 @@ class GatewayRunner:
"MATRIX_ALLOWED_USERS", "DINGTALK_ALLOWED_USERS",
"FEISHU_ALLOWED_USERS",
"WECOM_ALLOWED_USERS",
"BLUEBUBBLES_ALLOWED_USERS",
"GATEWAY_ALLOWED_USERS")
)
_allow_all = os.getenv("GATEWAY_ALLOW_ALL_USERS", "").lower() in ("true", "1", "yes") or any(
@@ -1086,8 +1086,7 @@ class GatewayRunner:
"SMS_ALLOW_ALL_USERS", "MATTERMOST_ALLOW_ALL_USERS",
"MATRIX_ALLOW_ALL_USERS", "DINGTALK_ALLOW_ALL_USERS",
"FEISHU_ALLOW_ALL_USERS",
"WECOM_ALLOW_ALL_USERS",
"BLUEBUBBLES_ALLOW_ALL_USERS")
"WECOM_ALLOW_ALL_USERS")
)
if not _any_allowlist and not _allow_all:
logger.warning(
@@ -1485,14 +1484,6 @@ class GatewayRunner:
logger.debug("Interrupted running agent for session %s during shutdown", session_key[:20])
except Exception as e:
logger.debug("Failed interrupting agent during shutdown: %s", e)
# Fire plugin on_session_finalize hook before memory shutdown
try:
from hermes_cli.plugins import invoke_hook as _invoke_hook
_invoke_hook("on_session_finalize",
session_id=getattr(agent, 'session_id', None),
platform="gateway")
except Exception:
pass
# Shut down memory provider at actual session boundary
try:
if hasattr(agent, 'shutdown_memory_provider'):
@@ -1658,13 +1649,6 @@ class GatewayRunner:
adapter.gateway_runner = self # For cross-platform delivery
return adapter
elif platform == Platform.BLUEBUBBLES:
from gateway.platforms.bluebubbles import BlueBubblesAdapter, check_bluebubbles_requirements
if not check_bluebubbles_requirements():
logger.warning("BlueBubbles: aiohttp/httpx missing or BLUEBUBBLES_SERVER_URL/BLUEBUBBLES_PASSWORD not configured")
return None
return BlueBubblesAdapter(config)
return None
def _is_user_authorized(self, source: SessionSource) -> bool:
@@ -1703,7 +1687,6 @@ class GatewayRunner:
Platform.DINGTALK: "DINGTALK_ALLOWED_USERS",
Platform.FEISHU: "FEISHU_ALLOWED_USERS",
Platform.WECOM: "WECOM_ALLOWED_USERS",
Platform.BLUEBUBBLES: "BLUEBUBBLES_ALLOWED_USERS",
}
platform_allow_all_map = {
Platform.TELEGRAM: "TELEGRAM_ALLOW_ALL_USERS",
@@ -1718,7 +1701,6 @@ class GatewayRunner:
Platform.DINGTALK: "DINGTALK_ALLOW_ALL_USERS",
Platform.FEISHU: "FEISHU_ALLOW_ALL_USERS",
Platform.WECOM: "WECOM_ALLOW_ALL_USERS",
Platform.BLUEBUBBLES: "BLUEBUBBLES_ALLOW_ALL_USERS",
}
# Per-platform allow-all flag (e.g., DISCORD_ALLOW_ALL_USERS=true)
@@ -1792,11 +1774,8 @@ class GatewayRunner:
"""
source = event.source
# Internal events (e.g. background-process completion notifications)
# are system-generated and must skip user authorization.
if getattr(event, "internal", False):
pass
elif not self._is_user_authorized(source):
# Check if user is authorized
if not self._is_user_authorized(source):
logger.warning("Unauthorized user: %s (%s) on %s", source.user_id, source.user_name, source.platform.value)
# In DMs: offer pairing code. In groups: silently ignore.
if source.chat_type == "dm" and self._get_unauthorized_dm_behavior(source.platform) == "pair":
@@ -2008,7 +1987,10 @@ class GatewayRunner:
existing.media_urls.extend(event.media_urls)
existing.media_types.extend(event.media_types)
if event.text:
existing.text = BasePlatformAdapter._merge_caption(existing.text, event.text)
if not existing.text:
existing.text = event.text
elif event.text not in existing.text:
existing.text = f"{existing.text}\n\n{event.text}".strip()
else:
adapter._pending_messages[_quick_key] = event
else:
@@ -3298,15 +3280,6 @@ class GatewayRunner:
# the configured default instead of the previously switched model.
self._session_model_overrides.pop(session_key, None)
# Fire plugin on_session_finalize hook (session boundary)
try:
from hermes_cli.plugins import invoke_hook as _invoke_hook
_old_sid = old_entry.session_id if old_entry else None
_invoke_hook("on_session_finalize", session_id=_old_sid,
platform=source.platform.value if source.platform else "")
except Exception:
pass
# Emit session:end hook (session is ending)
await self.hooks.emit("session:end", {
"platform": source.platform.value if source.platform else "",
@@ -3320,7 +3293,7 @@ class GatewayRunner:
"user_id": source.user_id,
"session_key": session_key,
})
# Resolve session config info to surface to the user
try:
session_info = self._format_session_info()
@@ -3331,18 +3304,9 @@ class GatewayRunner:
header = "✨ Session reset! Starting fresh."
else:
# No existing session, just create one
new_entry = self.session_store.get_or_create_session(source, force_new=True)
self.session_store.get_or_create_session(source, force_new=True)
header = "✨ New session started!"
# Fire plugin on_session_reset hook (new session guaranteed to exist)
try:
from hermes_cli.plugins import invoke_hook as _invoke_hook
_new_sid = new_entry.session_id if new_entry else None
_invoke_hook("on_session_reset", session_id=_new_sid,
platform=source.platform.value if source.platform else "")
except Exception:
pass
if session_info:
return f"{header}\n\n{session_info}"
return header
@@ -3381,36 +3345,25 @@ class GatewayRunner:
"""Handle /status command."""
source = event.source
session_entry = self.session_store.get_or_create_session(source)
connected_platforms = [p.value for p in self.adapters.keys()]
# Check if there's an active agent
session_key = session_entry.session_key
is_running = session_key in self._running_agents
title = None
if self._session_db:
try:
title = self._session_db.get_session_title(session_entry.session_id)
except Exception:
title = None
lines = [
"📊 **Hermes Gateway Status**",
"",
f"**Session ID:** `{session_entry.session_id}`",
]
if title:
lines.append(f"**Title:** {title}")
lines.extend([
f"**Session ID:** `{session_entry.session_id[:12]}...`",
f"**Created:** {session_entry.created_at.strftime('%Y-%m-%d %H:%M')}",
f"**Last Activity:** {session_entry.updated_at.strftime('%Y-%m-%d %H:%M')}",
f"**Tokens:** {session_entry.total_tokens:,}",
f"**Agent Running:** {'Yes ⚡' if is_running else 'No'}",
"",
f"**Connected Platforms:** {', '.join(connected_platforms)}",
])
]
return "\n".join(lines)
async def _handle_stop_command(self, event: MessageEvent) -> str:
@@ -4960,8 +4913,8 @@ class GatewayRunner:
cycle = ["off", "new", "all", "verbose"]
descriptions = {
"off": "⚙️ Tool progress: **OFF** — no tool activity shown.",
"new": "⚙️ Tool progress: **NEW** — shown when tool changes (preview length: `display.tool_preview_length`, default 40).",
"all": "⚙️ Tool progress: **ALL** — every tool call shown (preview length: `display.tool_preview_length`, default 40).",
"new": "⚙️ Tool progress: **NEW** — shown when tool changes (short previews).",
"all": "⚙️ Tool progress: **ALL** — every tool call shown (short previews).",
"verbose": "⚙️ Tool progress: **VERBOSE** — every tool call with full arguments.",
}
@@ -5280,28 +5233,19 @@ class GatewayRunner:
agent = self._running_agents.get(session_key)
if agent and hasattr(agent, "session_total_tokens") and agent.session_api_calls > 0:
lines = []
# Rate limits first (when available from provider headers)
rl_state = agent.get_rate_limit_state()
if rl_state and rl_state.has_data:
from agent.rate_limit_tracker import format_rate_limit_compact
lines.append(f"⏱️ **Rate Limits:** {format_rate_limit_compact(rl_state)}")
lines.append("")
# Session token usage
lines.append("📊 **Session Token Usage**")
lines.append(f"Prompt (input): {agent.session_prompt_tokens:,}")
lines.append(f"Completion (output): {agent.session_completion_tokens:,}")
lines.append(f"Total: {agent.session_total_tokens:,}")
lines.append(f"API calls: {agent.session_api_calls}")
lines = [
"📊 **Session Token Usage**",
f"Prompt (input): {agent.session_prompt_tokens:,}",
f"Completion (output): {agent.session_completion_tokens:,}",
f"Total: {agent.session_total_tokens:,}",
f"API calls: {agent.session_api_calls}",
]
ctx = agent.context_compressor
if ctx.last_prompt_tokens:
pct = min(100, ctx.last_prompt_tokens / ctx.context_length * 100) if ctx.context_length else 0
lines.append(f"Context: {ctx.last_prompt_tokens:,} / {ctx.context_length:,} ({pct:.0f}%)")
if ctx.compression_count:
lines.append(f"Compressions: {ctx.compression_count}")
return "\n".join(lines)
# No running agent -- check session history for a rough count
@@ -5543,7 +5487,7 @@ class GatewayRunner:
Platform.TELEGRAM, Platform.DISCORD, Platform.SLACK, Platform.WHATSAPP,
Platform.SIGNAL, Platform.MATTERMOST, Platform.MATRIX,
Platform.HOMEASSISTANT, Platform.EMAIL, Platform.SMS, Platform.DINGTALK,
Platform.FEISHU, Platform.WECOM, Platform.BLUEBUBBLES, Platform.LOCAL,
Platform.FEISHU, Platform.WECOM, Platform.LOCAL,
})
async def _handle_update_command(self, event: MessageEvent) -> str:
@@ -6092,11 +6036,6 @@ class GatewayRunner:
if enriched_parts:
prefix = "\n\n".join(enriched_parts)
# Strip the empty-content placeholder from the Discord adapter
# when we successfully transcribed the audio — it's redundant.
_placeholder = "(The user sent a message with no text content)"
if user_text and user_text.strip() == _placeholder:
return prefix
if user_text:
return f"{prefix}\n\n{user_text}"
return prefix
@@ -6183,7 +6122,6 @@ class GatewayRunner:
text=synth_text,
message_type=MessageType.TEXT,
source=_source,
internal=True,
)
logger.info(
"Process %s finished — injecting agent notification for session %s",
@@ -6334,15 +6272,7 @@ class GatewayRunner:
# Falls back to env vars for backward compatibility.
# YAML 1.1 parses bare `off` as boolean False — normalise before
# the `or` chain so it doesn't silently fall through to "all".
#
# Per-platform overrides (display.tool_progress_overrides) take
# priority over the global setting — e.g. Signal users can set
# tool_progress to "off" while keeping Telegram on "all".
_display_cfg = user_config.get("display", {})
_overrides = _display_cfg.get("tool_progress_overrides", {})
_raw_tp = _overrides.get(platform_key)
if _raw_tp is None:
_raw_tp = _display_cfg.get("tool_progress")
_raw_tp = user_config.get("display", {}).get("tool_progress")
if _raw_tp is False:
_raw_tp = "off"
progress_mode = (
@@ -6397,15 +6327,10 @@ class GatewayRunner:
progress_queue.put(msg)
return
# "all" / "new" modes: short preview, respects tool_preview_length
# config (defaults to 40 chars when unset to keep gateway messages
# compact — unlike CLI spinners, these persist as permanent messages).
# "all" / "new" modes: short preview, always truncated (40 chars)
if preview:
from agent.display import get_tool_preview_max_len
_pl = get_tool_preview_max_len()
_cap = _pl if _pl > 0 else 40
if len(preview) > _cap:
preview = preview[:_cap - 3] + "..."
if len(preview) > 40:
preview = preview[:37] + "..."
msg = f"{emoji} {tool_name}: \"{preview}\""
else:
msg = f"{emoji} {tool_name}..."
@@ -6446,18 +6371,6 @@ class GatewayRunner:
if not adapter:
return
# Skip tool progress for platforms that don't support message
# editing (e.g. iMessage/BlueBubbles) — each progress update
# would become a separate message bubble, which is noisy.
from gateway.platforms.base import BasePlatformAdapter as _BaseAdapter
if type(adapter).edit_message is _BaseAdapter.edit_message:
while not progress_queue.empty():
try:
progress_queue.get_nowait()
except Exception:
break
return
progress_lines = [] # Accumulated tool lines
progress_msg_id = None # ID of the progress message to edit
can_edit = True # False once an edit fails (platform doesn't support it)
@@ -7152,9 +7065,6 @@ class GatewayRunner:
# Default 1800s (30 min inactivity). 0 = unlimited.
_agent_timeout_raw = float(os.getenv("HERMES_AGENT_TIMEOUT", 1800))
_agent_timeout = _agent_timeout_raw if _agent_timeout_raw > 0 else None
_agent_warning_raw = float(os.getenv("HERMES_AGENT_TIMEOUT_WARNING", 900))
_agent_warning = _agent_warning_raw if _agent_warning_raw > 0 else None
_warning_fired = False
loop = asyncio.get_event_loop()
_executor_task = asyncio.ensure_future(
loop.run_in_executor(None, run_sync)
@@ -7187,25 +7097,6 @@ class GatewayRunner:
_idle_secs = _act.get("seconds_since_activity", 0.0)
except Exception:
pass
# Staged warning: fire once before escalating to full timeout.
if (not _warning_fired and _agent_warning is not None
and _idle_secs >= _agent_warning):
_warning_fired = True
_warn_adapter = self.adapters.get(source.platform)
if _warn_adapter:
_elapsed_warn = int(_agent_warning // 60) or 1
_remaining_mins = int((_agent_timeout - _agent_warning) // 60) or 1
try:
await _warn_adapter.send(
source.chat_id,
f"⚠️ No activity for {_elapsed_warn} min. "
f"If the agent does not respond soon, it will "
f"be timed out in {_remaining_mins} min. "
f"You can continue waiting or use /reset.",
metadata=_status_thread_metadata,
)
except Exception as _warn_err:
logger.debug("Inactivity warning send error: %s", _warn_err)
if _idle_secs >= _agent_timeout:
_inactivity_timeout = True
break
-1
View File
@@ -193,7 +193,6 @@ _PII_SAFE_PLATFORMS = frozenset({
Platform.WHATSAPP,
Platform.SIGNAL,
Platform.TELEGRAM,
Platform.BLUEBUBBLES,
})
"""Platforms where user IDs can be safely redacted (no in-message mention system
that requires raw IDs). Discord is excluded because mentions use ``<@user_id>``
+7 -119
View File
@@ -74,8 +74,6 @@ class GatewayStreamConsumer:
self._edit_supported = True # Disabled on first edit failure (Signal/Email/HA)
self._last_edit_time = 0.0
self._last_sent_text = "" # Track last-sent text to skip redundant edits
self._fallback_final_send = False
self._fallback_prefix = ""
@property
def already_sent(self) -> bool:
@@ -140,19 +138,12 @@ class GatewayStreamConsumer:
while (
len(self._accumulated) > _safe_limit
and self._message_id is not None
and self._edit_supported
):
split_at = self._accumulated.rfind("\n", 0, _safe_limit)
if split_at < _safe_limit // 2:
split_at = _safe_limit
chunk = self._accumulated[:split_at]
await self._send_or_edit(chunk)
if self._fallback_final_send:
# Edit failed while attempting to split an oversized
# message. Keep the full accumulated text intact so
# the fallback final-send path can deliver the
# remaining continuation without dropping content.
break
self._accumulated = self._accumulated[split_at:].lstrip("\n")
self._message_id = None
self._last_sent_text = ""
@@ -165,17 +156,9 @@ class GatewayStreamConsumer:
self._last_edit_time = time.monotonic()
if got_done:
# Final edit without cursor. If progressive editing failed
# mid-stream, send a single continuation/fallback message
# here instead of letting the base gateway path send the
# full response again.
if self._accumulated:
if self._fallback_final_send:
await self._send_fallback_final(self._accumulated)
elif self._message_id:
await self._send_or_edit(self._accumulated)
elif not self._already_sent:
await self._send_or_edit(self._accumulated)
# Final edit without cursor
if self._accumulated and self._message_id:
await self._send_or_edit(self._accumulated)
return
# Tool boundary: the should_edit block above already flushed
@@ -186,8 +169,6 @@ class GatewayStreamConsumer:
self._message_id = None
self._accumulated = ""
self._last_sent_text = ""
self._fallback_final_send = False
self._fallback_prefix = ""
await asyncio.sleep(0.05) # Small yield to not busy-loop
@@ -226,86 +207,6 @@ class GatewayStreamConsumer:
# Strip trailing whitespace/newlines but preserve leading content
return cleaned.rstrip()
def _visible_prefix(self) -> str:
"""Return the visible text already shown in the streamed message."""
prefix = self._last_sent_text or ""
if self.cfg.cursor and prefix.endswith(self.cfg.cursor):
prefix = prefix[:-len(self.cfg.cursor)]
return self._clean_for_display(prefix)
def _continuation_text(self, final_text: str) -> str:
"""Return only the part of final_text the user has not already seen."""
prefix = self._fallback_prefix or self._visible_prefix()
if prefix and final_text.startswith(prefix):
return final_text[len(prefix):].lstrip()
return final_text
@staticmethod
def _split_text_chunks(text: str, limit: int) -> list[str]:
"""Split text into reasonably sized chunks for fallback sends."""
if len(text) <= limit:
return [text]
chunks: list[str] = []
remaining = text
while len(remaining) > limit:
split_at = remaining.rfind("\n", 0, limit)
if split_at < limit // 2:
split_at = limit
chunks.append(remaining[:split_at])
remaining = remaining[split_at:].lstrip("\n")
if remaining:
chunks.append(remaining)
return chunks
async def _send_fallback_final(self, text: str) -> None:
"""Send the final continuation after streaming edits stop working."""
final_text = self._clean_for_display(text)
continuation = self._continuation_text(final_text)
self._fallback_final_send = False
if not continuation.strip():
# Nothing new to send — the visible partial already matches final text.
self._already_sent = True
return
raw_limit = getattr(self.adapter, "MAX_MESSAGE_LENGTH", 4096)
safe_limit = max(500, raw_limit - 100)
chunks = self._split_text_chunks(continuation, safe_limit)
last_message_id: Optional[str] = None
last_successful_chunk = ""
sent_any_chunk = False
for chunk in chunks:
result = await self.adapter.send(
chat_id=self.chat_id,
content=chunk,
metadata=self.metadata,
)
if not result.success:
if sent_any_chunk:
# Some continuation text already reached the user. Suppress
# the base gateway final-send path so we don't resend the
# full response and create another duplicate.
self._already_sent = True
self._message_id = last_message_id
self._last_sent_text = last_successful_chunk
self._fallback_prefix = ""
return
# No fallback chunk reached the user — allow the normal gateway
# final-send path to try one more time.
self._already_sent = False
self._message_id = None
self._last_sent_text = ""
self._fallback_prefix = ""
return
sent_any_chunk = True
last_successful_chunk = chunk
last_message_id = result.message_id or last_message_id
self._message_id = last_message_id
self._already_sent = True
self._last_sent_text = chunks[-1]
self._fallback_prefix = ""
async def _send_or_edit(self, text: str) -> None:
"""Send or edit the streaming message."""
# Strip MEDIA: directives so they don't appear as visible text.
@@ -331,16 +232,14 @@ class GatewayStreamConsumer:
self._last_sent_text = text
else:
# If an edit fails mid-stream (especially Telegram flood control),
# stop progressive edits and send only the missing tail once the
# final response is available.
# stop progressive edits and let the normal final send path deliver
# the complete answer instead of leaving the user with a partial.
logger.debug("Edit failed, disabling streaming for this adapter")
self._fallback_prefix = self._visible_prefix()
self._fallback_final_send = True
self._edit_supported = False
self._already_sent = True
self._already_sent = False
else:
# Editing not supported — skip intermediate updates.
# The final response will be sent by the fallback path.
# The final response will be sent by the normal path.
pass
else:
# First message — send new
@@ -353,17 +252,6 @@ class GatewayStreamConsumer:
self._message_id = result.message_id
self._already_sent = True
self._last_sent_text = text
elif result.success:
# Platform accepted the message but returned no message_id
# (e.g. Signal). Can't edit without an ID — switch to
# fallback mode: suppress intermediate deltas, send only
# the missing tail once the final response is ready.
self._already_sent = True
self._edit_supported = False
self._fallback_prefix = self._clean_for_display(text)
self._fallback_final_send = True
# Sentinel prevents re-entering this branch on every delta
self._message_id = "__no_edit__"
else:
# Initial send failed — disable streaming for this session
self._edit_supported = False
+2 -2
View File
@@ -11,5 +11,5 @@ Provides subcommands for:
- hermes cron - Manage cron jobs
"""
__version__ = "0.8.0"
__release_date__ = "2026.4.8"
__version__ = "0.7.0"
__release_date__ = "2026.4.3"
+21 -202
View File
@@ -37,7 +37,7 @@ from typing import Any, Dict, List, Optional
import httpx
import yaml
from hermes_cli.config import get_hermes_home, get_config_path, read_raw_config
from hermes_cli.config import get_hermes_home, get_config_path
from hermes_constants import OPENROUTER_BASE_URL
logger = logging.getLogger(__name__)
@@ -67,16 +67,12 @@ DEFAULT_AGENT_KEY_MIN_TTL_SECONDS = 30 * 60 # 30 minutes
ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120 # refresh 2 min before expiry
DEVICE_AUTH_POLL_INTERVAL_CAP_SECONDS = 1 # poll at most every 1s
DEFAULT_CODEX_BASE_URL = "https://chatgpt.com/backend-api/codex"
DEFAULT_QWEN_BASE_URL = "https://portal.qwen.ai/v1"
DEFAULT_GITHUB_MODELS_BASE_URL = "https://api.githubcopilot.com"
DEFAULT_COPILOT_ACP_BASE_URL = "acp://copilot"
DEFAULT_GEMINI_BASE_URL = "https://generativelanguage.googleapis.com/v1beta/openai"
CODEX_OAUTH_CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann"
CODEX_OAUTH_TOKEN_URL = "https://auth.openai.com/oauth/token"
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120
QWEN_OAUTH_CLIENT_ID = "f0304373b74a44d2b584a3fb70ca9e56"
QWEN_OAUTH_TOKEN_URL = "https://chat.qwen.ai/api/v1/oauth2/token"
QWEN_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120
# =============================================================================
@@ -116,12 +112,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
auth_type="oauth_external",
inference_base_url=DEFAULT_CODEX_BASE_URL,
),
"qwen-oauth": ProviderConfig(
id="qwen-oauth",
name="Qwen OAuth",
auth_type="oauth_external",
inference_base_url=DEFAULT_QWEN_BASE_URL,
),
"copilot": ProviderConfig(
id="copilot",
name="GitHub Copilot",
@@ -250,7 +240,7 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
# Kimi Code Endpoint Detection
# =============================================================================
# Kimi Code (kimi.com/code) issues keys prefixed "sk-kimi-" that only work
# Kimi Code (platform.kimi.ai) issues keys prefixed "sk-kimi-" that only work
# on api.kimi.com/coding/v1. Legacy keys from platform.moonshot.ai work on
# api.moonshot.ai/v1 (the default). Auto-detect when user hasn't set
# KIMI_BASE_URL explicitly.
@@ -827,7 +817,6 @@ def resolve_provider(
"github-copilot-acp": "copilot-acp", "copilot-acp-agent": "copilot-acp",
"aigateway": "ai-gateway", "vercel": "ai-gateway", "vercel-ai-gateway": "ai-gateway",
"opencode": "opencode-zen", "zen": "opencode-zen",
"qwen-portal": "qwen-oauth", "qwen-cli": "qwen-oauth", "qwen-oauth": "qwen-oauth",
"hf": "huggingface", "hugging-face": "huggingface", "huggingface-hub": "huggingface",
"go": "opencode-go", "opencode-go-sub": "opencode-go",
"kilo": "kilocode", "kilo-code": "kilocode", "kilo-gateway": "kilocode",
@@ -957,176 +946,6 @@ def _codex_access_token_is_expiring(access_token: Any, skew_seconds: int) -> boo
return float(exp) <= (time.time() + max(0, int(skew_seconds)))
def _qwen_cli_auth_path() -> Path:
return Path.home() / ".qwen" / "oauth_creds.json"
def _read_qwen_cli_tokens() -> Dict[str, Any]:
auth_path = _qwen_cli_auth_path()
if not auth_path.exists():
raise AuthError(
"Qwen CLI credentials not found. Run 'qwen auth qwen-oauth' first.",
provider="qwen-oauth",
code="qwen_auth_missing",
)
try:
data = json.loads(auth_path.read_text(encoding="utf-8"))
except Exception as exc:
raise AuthError(
f"Failed to read Qwen CLI credentials from {auth_path}: {exc}",
provider="qwen-oauth",
code="qwen_auth_read_failed",
) from exc
if not isinstance(data, dict):
raise AuthError(
f"Invalid Qwen CLI credentials in {auth_path}.",
provider="qwen-oauth",
code="qwen_auth_invalid",
)
return data
def _save_qwen_cli_tokens(tokens: Dict[str, Any]) -> Path:
auth_path = _qwen_cli_auth_path()
auth_path.parent.mkdir(parents=True, exist_ok=True)
tmp_path = auth_path.with_suffix(".tmp")
tmp_path.write_text(json.dumps(tokens, indent=2, sort_keys=True) + "\n", encoding="utf-8")
os.chmod(tmp_path, stat.S_IRUSR | stat.S_IWUSR)
tmp_path.replace(auth_path)
return auth_path
def _qwen_access_token_is_expiring(expiry_date_ms: Any, skew_seconds: int = QWEN_ACCESS_TOKEN_REFRESH_SKEW_SECONDS) -> bool:
try:
expiry_ms = int(expiry_date_ms)
except Exception:
return True
return (time.time() + max(0, int(skew_seconds))) * 1000 >= expiry_ms
def _refresh_qwen_cli_tokens(tokens: Dict[str, Any], timeout_seconds: float = 20.0) -> Dict[str, Any]:
refresh_token = str(tokens.get("refresh_token", "") or "").strip()
if not refresh_token:
raise AuthError(
"Qwen OAuth refresh token missing. Re-run 'qwen auth qwen-oauth'.",
provider="qwen-oauth",
code="qwen_refresh_token_missing",
)
try:
response = httpx.post(
QWEN_OAUTH_TOKEN_URL,
headers={
"Content-Type": "application/x-www-form-urlencoded",
"Accept": "application/json",
},
data={
"grant_type": "refresh_token",
"refresh_token": refresh_token,
"client_id": QWEN_OAUTH_CLIENT_ID,
},
timeout=timeout_seconds,
)
except Exception as exc:
raise AuthError(
f"Qwen OAuth refresh failed: {exc}",
provider="qwen-oauth",
code="qwen_refresh_failed",
) from exc
if response.status_code >= 400:
body = response.text.strip()
raise AuthError(
"Qwen OAuth refresh failed. Re-run 'qwen auth qwen-oauth'."
+ (f" Response: {body}" if body else ""),
provider="qwen-oauth",
code="qwen_refresh_failed",
)
try:
payload = response.json()
except Exception as exc:
raise AuthError(
f"Qwen OAuth refresh returned invalid JSON: {exc}",
provider="qwen-oauth",
code="qwen_refresh_invalid_json",
) from exc
if not isinstance(payload, dict) or not str(payload.get("access_token", "") or "").strip():
raise AuthError(
"Qwen OAuth refresh response missing access_token.",
provider="qwen-oauth",
code="qwen_refresh_invalid_response",
)
expires_in = payload.get("expires_in")
try:
expires_in_seconds = int(expires_in)
except Exception:
expires_in_seconds = 6 * 60 * 60
refreshed = {
"access_token": str(payload.get("access_token", "") or "").strip(),
"refresh_token": str(payload.get("refresh_token", refresh_token) or refresh_token).strip(),
"token_type": str(payload.get("token_type", tokens.get("token_type", "Bearer")) or "Bearer").strip() or "Bearer",
"resource_url": str(payload.get("resource_url", tokens.get("resource_url", "portal.qwen.ai")) or "portal.qwen.ai").strip(),
"expiry_date": int(time.time() * 1000) + max(1, expires_in_seconds) * 1000,
}
_save_qwen_cli_tokens(refreshed)
return refreshed
def resolve_qwen_runtime_credentials(
*,
force_refresh: bool = False,
refresh_if_expiring: bool = True,
refresh_skew_seconds: int = QWEN_ACCESS_TOKEN_REFRESH_SKEW_SECONDS,
) -> Dict[str, Any]:
tokens = _read_qwen_cli_tokens()
access_token = str(tokens.get("access_token", "") or "").strip()
should_refresh = bool(force_refresh)
if not should_refresh and refresh_if_expiring:
should_refresh = _qwen_access_token_is_expiring(tokens.get("expiry_date"), refresh_skew_seconds)
if should_refresh:
tokens = _refresh_qwen_cli_tokens(tokens)
access_token = str(tokens.get("access_token", "") or "").strip()
if not access_token:
raise AuthError(
"Qwen OAuth access token missing. Re-run 'qwen auth qwen-oauth'.",
provider="qwen-oauth",
code="qwen_access_token_missing",
)
base_url = os.getenv("HERMES_QWEN_BASE_URL", "").strip().rstrip("/") or DEFAULT_QWEN_BASE_URL
return {
"provider": "qwen-oauth",
"base_url": base_url,
"api_key": access_token,
"source": "qwen-cli",
"expires_at_ms": tokens.get("expiry_date"),
"auth_file": str(_qwen_cli_auth_path()),
}
def get_qwen_auth_status() -> Dict[str, Any]:
auth_path = _qwen_cli_auth_path()
try:
creds = resolve_qwen_runtime_credentials(refresh_if_expiring=False)
return {
"logged_in": True,
"auth_file": str(auth_path),
"source": creds.get("source"),
"api_key": creds.get("api_key"),
"expires_at_ms": creds.get("expires_at_ms"),
}
except AuthError as exc:
return {
"logged_in": False,
"auth_file": str(auth_path),
"error": str(exc),
}
# =============================================================================
# SSH / remote session detection
# =============================================================================
@@ -2253,8 +2072,6 @@ def get_auth_status(provider_id: Optional[str] = None) -> Dict[str, Any]:
return get_nous_auth_status()
if target == "openai-codex":
return get_codex_auth_status()
if target == "qwen-oauth":
return get_qwen_auth_status()
if target == "copilot-acp":
return get_external_process_provider_status(target)
# API-key providers
@@ -2397,7 +2214,14 @@ def _update_config_for_provider(
config_path = get_config_path()
config_path.parent.mkdir(parents=True, exist_ok=True)
config = read_raw_config()
config: Dict[str, Any] = {}
if config_path.exists():
try:
loaded = yaml.safe_load(config_path.read_text()) or {}
if isinstance(loaded, dict):
config = loaded
except Exception:
config = {}
current_model = config.get("model")
if isinstance(current_model, dict):
@@ -2434,8 +2258,12 @@ def _reset_config_provider() -> Path:
if not config_path.exists():
return config_path
config = read_raw_config()
if not config:
try:
config = yaml.safe_load(config_path.read_text()) or {}
except Exception:
return config_path
if not isinstance(config, dict):
return config_path
model = config.get("model")
@@ -3017,15 +2845,12 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
_save_provider_state(auth_store, "nous", auth_state)
saved_to = _save_auth_store(auth_store)
config_path = _update_config_for_provider("nous", inference_base_url)
print()
print("Login successful!")
print(f" Auth state: {saved_to}")
print(f" Config updated: {config_path} (model.provider=nous)")
# Resolve model BEFORE writing provider to config.yaml so we never
# leave the config in a half-updated state (provider=nous but model
# still set to the previous provider's model, e.g. opus from
# OpenRouter). The auth.json active_provider was already set above.
selected_model = None
try:
runtime_key = auth_state.get("agent_key") or auth_state.get("access_token")
if not isinstance(runtime_key, str) or not runtime_key:
@@ -3059,6 +2884,9 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
unavailable_models=unavailable_models,
portal_url=_portal,
)
if selected_model:
_save_model_choice(selected_model)
print(f"Default model set to: {selected_model}")
elif unavailable_models:
_url = (_portal or DEFAULT_NOUS_PORTAL_URL).rstrip("/")
print("No free models currently available.")
@@ -3070,15 +2898,6 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
print()
print(f"Login succeeded, but could not fetch available models. Reason: {message}")
# Write provider + model atomically so config is never mismatched.
config_path = _update_config_for_provider(
"nous", inference_base_url, default_model=selected_model,
)
if selected_model:
_save_model_choice(selected_model)
print(f"Default model set to: {selected_model}")
print(f" Config updated: {config_path} (model.provider=nous)")
except KeyboardInterrupt:
print("\nLogin cancelled.")
raise SystemExit(130)
+2 -22
View File
@@ -32,7 +32,7 @@ from hermes_constants import OPENROUTER_BASE_URL
# Providers that support OAuth login in addition to API keys.
_OAUTH_CAPABLE_PROVIDERS = {"anthropic", "nous", "openai-codex", "qwen-oauth"}
_OAUTH_CAPABLE_PROVIDERS = {"anthropic", "nous", "openai-codex"}
def _get_custom_provider_names() -> list:
@@ -147,7 +147,7 @@ def auth_add_command(args) -> None:
if provider.startswith(CUSTOM_POOL_PREFIX):
requested_type = AUTH_TYPE_API_KEY
else:
requested_type = AUTH_TYPE_OAUTH if provider in {"anthropic", "nous", "openai-codex", "qwen-oauth"} else AUTH_TYPE_API_KEY
requested_type = AUTH_TYPE_OAUTH if provider in {"anthropic", "nous", "openai-codex"} else AUTH_TYPE_API_KEY
pool = load_pool(provider)
@@ -250,26 +250,6 @@ def auth_add_command(args) -> None:
print(f'Added {provider} OAuth credential #{len(pool.entries())}: "{entry.label}"')
return
if provider == "qwen-oauth":
creds = auth_mod.resolve_qwen_runtime_credentials(refresh_if_expiring=False)
label = (getattr(args, "label", None) or "").strip() or label_from_token(
creds["api_key"],
_oauth_default_label(provider, len(pool.entries()) + 1),
)
entry = PooledCredential(
provider=provider,
id=uuid.uuid4().hex[:6],
label=label,
auth_type=AUTH_TYPE_OAUTH,
priority=0,
source=f"{SOURCE_MANUAL}:qwen_cli",
access_token=creds["api_key"],
base_url=creds.get("base_url"),
)
pool.add_entry(entry)
print(f'Added {provider} OAuth credential #{len(pool.entries())}: "{entry.label}"')
return
raise SystemExit(f"`hermes auth add {provider}` is not implemented for auth type {requested_type} yet.")
+3 -83
View File
@@ -5,7 +5,6 @@ Pure display functions with no HermesCLI state dependency.
import json
import logging
import os
import shutil
import subprocess
import threading
@@ -190,79 +189,6 @@ def check_for_updates() -> Optional[int]:
return behind
def _resolve_repo_dir() -> Optional[Path]:
"""Return the active Hermes git checkout, or None if this isn't a git install."""
hermes_home = get_hermes_home()
repo_dir = hermes_home / "hermes-agent"
if not (repo_dir / ".git").exists():
repo_dir = Path(__file__).parent.parent.resolve()
return repo_dir if (repo_dir / ".git").exists() else None
def _git_short_hash(repo_dir: Path, rev: str) -> Optional[str]:
"""Resolve a git revision to an 8-character short hash."""
try:
result = subprocess.run(
["git", "rev-parse", "--short=8", rev],
capture_output=True,
text=True,
timeout=5,
cwd=str(repo_dir),
)
except Exception:
return None
if result.returncode != 0:
return None
value = (result.stdout or "").strip()
return value or None
def get_git_banner_state(repo_dir: Optional[Path] = None) -> Optional[dict]:
"""Return upstream/local git hashes for the startup banner."""
repo_dir = repo_dir or _resolve_repo_dir()
if repo_dir is None:
return None
upstream = _git_short_hash(repo_dir, "origin/main")
local = _git_short_hash(repo_dir, "HEAD")
if not upstream or not local:
return None
ahead = 0
try:
result = subprocess.run(
["git", "rev-list", "--count", "origin/main..HEAD"],
capture_output=True,
text=True,
timeout=5,
cwd=str(repo_dir),
)
if result.returncode == 0:
ahead = int((result.stdout or "0").strip() or "0")
except Exception:
ahead = 0
return {"upstream": upstream, "local": local, "ahead": max(ahead, 0)}
def format_banner_version_label() -> str:
"""Return the version label shown in the startup banner title."""
base = f"Hermes Agent v{VERSION} ({RELEASE_DATE})"
state = get_git_banner_state()
if not state:
return base
upstream = state["upstream"]
local = state["local"]
ahead = int(state.get("ahead") or 0)
if ahead <= 0 or upstream == local:
return f"{base} · upstream {upstream}"
carried_word = "commit" if ahead == 1 else "commits"
return f"{base} · upstream {upstream} · local {local} (+{ahead} carried {carried_word})"
# =========================================================================
# Non-blocking update check
# =========================================================================
@@ -295,16 +221,10 @@ def _format_context_length(tokens: int) -> str:
"""Format a token count for display (e.g. 128000 → '128K', 1048576 → '1M')."""
if tokens >= 1_000_000:
val = tokens / 1_000_000
rounded = round(val)
if abs(val - rounded) < 0.05:
return f"{rounded}M"
return f"{val:.1f}M"
return f"{val:g}M"
elif tokens >= 1_000:
val = tokens / 1_000
rounded = round(val)
if abs(val - rounded) < 0.05:
return f"{rounded}K"
return f"{val:.1f}K"
return f"{val:g}K"
return str(tokens)
@@ -528,7 +448,7 @@ def build_welcome_banner(console: Console, model: str, cwd: str,
border_color = _skin_color("banner_border", "#CD7F32")
outer_panel = Panel(
layout_table,
title=f"[bold {title_color}]{format_banner_version_label()}[/]",
title=f"[bold {title_color}]{agent_name} v{VERSION} ({RELEASE_DATE})[/]",
border_style=border_color,
padding=(0, 2),
)
+11 -4
View File
@@ -87,7 +87,8 @@ COMMAND_REGISTRY: list[CommandDef] = [
CommandDef("model", "Switch model for this session", "Configuration", args_hint="[model] [--global]"),
CommandDef("provider", "Show available providers and current provider",
"Configuration"),
CommandDef("prompt", "View/set custom system prompt", "Configuration",
cli_only=True, args_hint="[text]", subcommands=("clear",)),
CommandDef("personality", "Set a predefined personality", "Configuration",
args_hint="[name]"),
CommandDef("statusbar", "Toggle the context/model status bar", "Configuration",
@@ -128,7 +129,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
CommandDef("commands", "Browse all commands and skills (paginated)", "Info",
gateway_only=True, args_hint="[page]"),
CommandDef("help", "Show available commands", "Info"),
CommandDef("usage", "Show token usage and rate limits for the current session", "Info"),
CommandDef("usage", "Show token usage for the current session", "Info"),
CommandDef("insights", "Show usage insights and analytics", "Info",
args_hint="[days]"),
CommandDef("platforms", "Show gateway/messaging platform status", "Info",
@@ -292,8 +293,14 @@ def _resolve_config_gates() -> set[str]:
if not gated:
return set()
try:
from hermes_cli.config import read_raw_config
cfg = read_raw_config()
import yaml
from hermes_constants import get_hermes_home
config_path = str(get_hermes_home() / "config.yaml")
if os.path.exists(config_path):
with open(config_path, encoding="utf-8") as f:
cfg = yaml.safe_load(f) or {}
else:
cfg = {}
except Exception:
return set()
result: set[str] = set()
+5 -79
View File
@@ -39,7 +39,6 @@ _EXTRA_ENV_KEYS = frozenset({
"DINGTALK_CLIENT_ID", "DINGTALK_CLIENT_SECRET",
"FEISHU_APP_ID", "FEISHU_APP_SECRET", "FEISHU_ENCRYPT_KEY", "FEISHU_VERIFICATION_TOKEN",
"WECOM_BOT_ID", "WECOM_SECRET",
"BLUEBUBBLES_SERVER_URL", "BLUEBUBBLES_PASSWORD",
"TERMINAL_ENV", "TERMINAL_SSH_KEY", "TERMINAL_SSH_PORT",
"WHATSAPP_MODE", "WHATSAPP_ENABLED",
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_REPLY_MODE",
@@ -158,14 +157,7 @@ def get_project_root() -> Path:
return Path(__file__).parent.parent.resolve()
def _secure_dir(path):
"""Set directory to owner-only access (0700). No-op on Windows.
Skipped in managed mode the NixOS module sets group-readable
permissions (0750) so interactive users in the hermes group can
share state with the gateway service.
"""
if is_managed():
return
"""Set directory to owner-only access (0700). No-op on Windows."""
try:
os.chmod(path, 0o700)
except (OSError, NotImplementedError):
@@ -173,13 +165,7 @@ def _secure_dir(path):
def _secure_file(path):
"""Set file to owner-only read/write (0600). No-op on Windows.
Skipped in managed mode the NixOS activation script sets
group-readable permissions (0640) on config files.
"""
if is_managed():
return
"""Set file to owner-only read/write (0600). No-op on Windows."""
try:
if os.path.exists(str(path)):
os.chmod(path, 0o600)
@@ -231,10 +217,6 @@ DEFAULT_CONFIG = {
# (force on/off for all models), or a list of model-name substrings
# to match (e.g. ["gpt", "codex", "gemini", "qwen"]).
"tool_use_enforcement": "auto",
# Staged inactivity warning: send a warning to the user at this
# threshold before escalating to a full timeout. The warning fires
# once per run and does not interrupt the agent. 0 = disable warning.
"gateway_timeout_warning": 900,
},
"terminal": {
@@ -397,7 +379,6 @@ DEFAULT_CONFIG = {
"show_cost": False, # Show $ cost in the status bar (off by default)
"skin": "default",
"tool_progress_command": False, # Enable /verbose command in messaging gateway
"tool_progress_overrides": {}, # Per-platform overrides: {"signal": "off", "telegram": "all"}
"tool_preview_length": 0, # Max chars for tool call previews (0 = no limit, show full paths/commands)
},
@@ -432,17 +413,13 @@ DEFAULT_CONFIG = {
"stt": {
"enabled": True,
"provider": "local", # "local" (free, faster-whisper) | "groq" | "openai" (Whisper API) | "mistral" (Voxtral Transcribe)
"provider": "local", # "local" (free, faster-whisper) | "groq" | "openai" (Whisper API)
"local": {
"model": "base", # tiny, base, small, medium, large-v3
"language": "", # auto-detect by default; set to "en", "es", "fr", etc. to force
},
"openai": {
"model": "whisper-1", # whisper-1, gpt-4o-mini-transcribe, gpt-4o-transcribe
},
"mistral": {
"model": "voxtral-mini-latest", # voxtral-mini-latest, voxtral-mini-2602
},
},
"voice": {
@@ -569,7 +546,7 @@ DEFAULT_CONFIG = {
},
# Config schema version - bump this when adding new required fields
"_config_version": 13,
"_config_version": 12,
}
# =============================================================================
@@ -746,14 +723,6 @@ OPTIONAL_ENV_VARS = {
"category": "provider",
"advanced": True,
},
"HERMES_QWEN_BASE_URL": {
"description": "Qwen Portal base URL override (default: https://portal.qwen.ai/v1)",
"prompt": "Qwen Portal base URL (leave empty for default)",
"url": None,
"password": False,
"category": "provider",
"advanced": True,
},
"OPENCODE_ZEN_API_KEY": {
"description": "OpenCode Zen API key (pay-as-you-go access to curated models)",
"prompt": "OpenCode Zen API key",
@@ -1005,13 +974,6 @@ OPTIONAL_ENV_VARS = {
"password": False,
"category": "messaging",
},
"DISCORD_REPLY_TO_MODE": {
"description": "Discord reply threading mode: 'off' (no reply references), 'first' (reply on first message only, default), 'all' (reply on every chunk)",
"prompt": "Discord reply mode (off/first/all)",
"url": None,
"password": False,
"category": "messaging",
},
"SLACK_BOT_TOKEN": {
"description": "Slack bot token (xoxb-). Get from OAuth & Permissions after installing your app. "
"Required scopes: chat:write, app_mentions:read, channels:history, groups:history, "
@@ -1125,27 +1087,6 @@ OPTIONAL_ENV_VARS = {
"category": "messaging",
"advanced": True,
},
"BLUEBUBBLES_SERVER_URL": {
"description": "BlueBubbles server URL for iMessage integration (e.g. http://192.168.1.10:1234)",
"prompt": "BlueBubbles server URL",
"url": "https://bluebubbles.app/",
"password": False,
"category": "messaging",
},
"BLUEBUBBLES_PASSWORD": {
"description": "BlueBubbles server password (from BlueBubbles Server → Settings → API)",
"prompt": "BlueBubbles server password",
"url": None,
"password": True,
"category": "messaging",
},
"BLUEBUBBLES_ALLOWED_USERS": {
"description": "Comma-separated iMessage addresses (email or phone) allowed to use the bot",
"prompt": "Allowed iMessage addresses (comma-separated)",
"url": None,
"password": False,
"category": "messaging",
},
"GATEWAY_ALLOW_ALL_USERS": {
"description": "Allow all users to interact with messaging bots (true/false). Default: false.",
"prompt": "Allow all users (true/false)",
@@ -1217,7 +1158,7 @@ OPTIONAL_ENV_VARS = {
"category": "setting",
},
"SUDO_PASSWORD": {
"description": "Sudo password for terminal commands requiring root access; set to an explicit empty string to try empty without prompting",
"description": "Sudo password for terminal commands requiring root access",
"prompt": "Sudo password",
"url": None,
"password": True,
@@ -1701,21 +1642,6 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
ep = providers_dict[key]
print(f"{key}: {ep.get('api', '')}")
# ── Version 12 → 13: clear dead LLM_MODEL / OPENAI_MODEL from .env ──
# These env vars were written by the old setup wizard but nothing reads
# them anymore (config.yaml is the sole source of truth since March 2026).
# Stale entries cause user confusion — see issue report.
if current_ver < 13:
for dead_var in ("LLM_MODEL", "OPENAI_MODEL"):
try:
old_val = get_env_value(dead_var)
if old_val:
save_env_value(dead_var, "")
if not quiet:
print(f" ✓ Cleared {dead_var} from .env (no longer used — config.yaml is source of truth)")
except Exception:
pass
if current_ver < latest_ver and not quiet:
print(f"Config version: {current_ver}{latest_ver}")
-15
View File
@@ -93,21 +93,6 @@ def cron_list(show_all: bool = False):
script = job.get("script")
if script:
print(f" Script: {script}")
# Execution history
last_status = job.get("last_status")
if last_status:
last_run = job.get("last_run_at", "?")
if last_status == "ok":
status_display = color("ok", Colors.GREEN)
else:
status_display = color(f"{last_status}: {job.get('last_error', '?')}", Colors.RED)
print(f" Last run: {last_run} {status_display}")
delivery_err = job.get("last_delivery_error")
if delivery_err:
print(f" {color('⚠ Delivery failed:', Colors.YELLOW)} {delivery_err}")
print()
from hermes_cli.gateway import find_gateway_pids
+56 -70
View File
@@ -812,83 +812,69 @@ def run_doctor(args):
check_warn("No GITHUB_TOKEN", f"(60 req/hr rate limit — set in {_DHH}/.env for better rates)")
# =========================================================================
# Memory Provider (only check the active provider, if any)
# Honcho memory
# =========================================================================
print()
print(color("Memory Provider", Colors.CYAN, Colors.BOLD))
print(color("Honcho Memory", Colors.CYAN, Colors.BOLD))
_active_memory_provider = ""
try:
import yaml as _yaml
_mem_cfg_path = HERMES_HOME / "config.yaml"
if _mem_cfg_path.exists():
with open(_mem_cfg_path) as _f:
_raw_cfg = _yaml.safe_load(_f) or {}
_active_memory_provider = (_raw_cfg.get("memory") or {}).get("provider", "")
except Exception:
pass
from plugins.memory.honcho.client import HonchoClientConfig, resolve_config_path
hcfg = HonchoClientConfig.from_global_config()
_honcho_cfg_path = resolve_config_path()
if not _active_memory_provider:
check_ok("Built-in memory active", "(no external provider configured — this is fine)")
elif _active_memory_provider == "honcho":
try:
from plugins.memory.honcho.client import HonchoClientConfig, resolve_config_path
hcfg = HonchoClientConfig.from_global_config()
_honcho_cfg_path = resolve_config_path()
if not _honcho_cfg_path.exists():
check_warn("Honcho config not found", "run: hermes memory setup")
elif not hcfg.enabled:
check_info(f"Honcho disabled (set enabled: true in {_honcho_cfg_path} to activate)")
elif not (hcfg.api_key or hcfg.base_url):
check_fail("Honcho API key or base URL not set", "run: hermes memory setup")
issues.append("No Honcho API key — run 'hermes memory setup'")
else:
from plugins.memory.honcho.client import get_honcho_client, reset_honcho_client
reset_honcho_client()
try:
get_honcho_client(hcfg)
check_ok(
"Honcho connected",
f"workspace={hcfg.workspace_id} mode={hcfg.recall_mode} freq={hcfg.write_frequency}",
)
except Exception as _e:
check_fail("Honcho connection failed", str(_e))
issues.append(f"Honcho unreachable: {_e}")
except ImportError:
check_warn("honcho-ai not installed", "pip install honcho-ai")
except Exception as _e:
check_warn("Honcho check failed", str(_e))
if not _honcho_cfg_path.exists():
check_warn("Honcho config not found", "run: hermes memory setup")
elif not hcfg.enabled:
check_info(f"Honcho disabled (set enabled: true in {_honcho_cfg_path} to activate)")
elif not (hcfg.api_key or hcfg.base_url):
check_fail("Honcho API key or base URL not set", "run: hermes memory setup")
issues.append("No Honcho API key — run 'hermes memory setup'")
else:
from plugins.memory.honcho.client import get_honcho_client, reset_honcho_client
reset_honcho_client()
# =========================================================================
# Mem0 memory
# =========================================================================
print()
print(color("◆ Mem0 Memory", Colors.CYAN, Colors.BOLD))
try:
from plugins.memory.mem0 import _load_config as _load_mem0_config
mem0_cfg = _load_mem0_config()
mem0_key = mem0_cfg.get("api_key", "")
if mem0_key:
check_ok("Mem0 API key configured")
check_info(f"user_id={mem0_cfg.get('user_id', '?')} agent_id={mem0_cfg.get('agent_id', '?')}")
# Check if mem0.json exists but is missing api_key (the bug we fixed)
mem0_json = HERMES_HOME / "mem0.json"
if mem0_json.exists():
try:
get_honcho_client(hcfg)
check_ok(
"Honcho connected",
f"workspace={hcfg.workspace_id} mode={hcfg.recall_mode} freq={hcfg.write_frequency}",
)
except Exception as _e:
check_fail("Honcho connection failed", str(_e))
issues.append(f"Honcho unreachable: {_e}")
except ImportError:
check_fail("honcho-ai not installed", "pip install honcho-ai")
issues.append("Honcho is set as memory provider but honcho-ai is not installed")
except Exception as _e:
check_warn("Honcho check failed", str(_e))
elif _active_memory_provider == "mem0":
try:
from plugins.memory.mem0 import _load_config as _load_mem0_config
mem0_cfg = _load_mem0_config()
mem0_key = mem0_cfg.get("api_key", "")
if mem0_key:
check_ok("Mem0 API key configured")
check_info(f"user_id={mem0_cfg.get('user_id', '?')} agent_id={mem0_cfg.get('agent_id', '?')}")
else:
check_fail("Mem0 API key not set", "(set MEM0_API_KEY in .env or run hermes memory setup)")
issues.append("Mem0 is set as memory provider but API key is missing")
except ImportError:
check_fail("Mem0 plugin not loadable", "pip install mem0ai")
issues.append("Mem0 is set as memory provider but mem0ai is not installed")
except Exception as _e:
check_warn("Mem0 check failed", str(_e))
else:
# Generic check for other memory providers (openviking, hindsight, etc.)
try:
from plugins.memory import load_memory_provider
_provider = load_memory_provider(_active_memory_provider)
if _provider and _provider.is_available():
check_ok(f"{_active_memory_provider} provider active")
elif _provider:
check_warn(f"{_active_memory_provider} configured but not available", "run: hermes memory status")
else:
check_warn(f"{_active_memory_provider} plugin not found", "run: hermes memory setup")
except Exception as _e:
check_warn(f"{_active_memory_provider} check failed", str(_e))
import json as _json
file_cfg = _json.loads(mem0_json.read_text())
if not file_cfg.get("api_key") and mem0_key:
check_info("api_key from .env (not in mem0.json) — this is fine")
except Exception:
pass
else:
check_warn("Mem0 not configured", "(set MEM0_API_KEY in .env or run hermes memory setup)")
except ImportError:
check_warn("Mem0 plugin not loadable", "(optional)")
except Exception as _e:
check_warn("Mem0 check failed", str(_e))
# =========================================================================
# Profiles
-337
View File
@@ -1,337 +0,0 @@
"""
Dump command for hermes CLI.
Outputs a compact, plain-text summary of the user's Hermes setup
that can be copy-pasted into Discord/GitHub/Telegram for support context.
No ANSI colors, no checkmarks just data.
"""
import json
import os
import platform
import subprocess
import sys
from pathlib import Path
from hermes_cli.config import get_hermes_home, get_env_path, get_project_root, load_config
from hermes_constants import display_hermes_home
def _get_git_commit(project_root: Path) -> str:
"""Return short git commit hash, or '(unknown)'."""
try:
result = subprocess.run(
["git", "rev-parse", "--short=8", "HEAD"],
capture_output=True, text=True, timeout=5,
cwd=str(project_root),
)
if result.returncode == 0:
return result.stdout.strip()
except Exception:
pass
return "(unknown)"
def _key_present(name: str) -> str:
"""Return 'set' or 'not set' for an env var."""
return "set" if os.getenv(name) else "not set"
def _redact(value: str) -> str:
"""Redact all but first 4 and last 4 chars."""
if not value:
return ""
if len(value) < 12:
return "***"
return value[:4] + "..." + value[-4:]
def _gateway_status() -> str:
"""Return a short gateway status string."""
if sys.platform.startswith("linux"):
try:
from hermes_cli.gateway import get_service_name
svc = get_service_name()
except Exception:
svc = "hermes-gateway"
try:
r = subprocess.run(
["systemctl", "--user", "is-active", svc],
capture_output=True, text=True, timeout=5,
)
return "running (systemd)" if r.stdout.strip() == "active" else "stopped"
except Exception:
return "unknown"
elif sys.platform == "darwin":
try:
from hermes_cli.gateway import get_launchd_label
r = subprocess.run(
["launchctl", "list", get_launchd_label()],
capture_output=True, text=True, timeout=5,
)
return "loaded (launchd)" if r.returncode == 0 else "not loaded"
except Exception:
return "unknown"
return "N/A"
def _count_skills(hermes_home: Path) -> int:
"""Count installed skills."""
skills_dir = hermes_home / "skills"
if not skills_dir.is_dir():
return 0
count = 0
for item in skills_dir.rglob("SKILL.md"):
count += 1
return count
def _count_mcp_servers(config: dict) -> int:
"""Count configured MCP servers."""
mcp = config.get("mcp", {})
servers = mcp.get("servers", {})
return len(servers)
def _cron_summary(hermes_home: Path) -> str:
"""Return cron jobs summary."""
jobs_file = hermes_home / "cron" / "jobs.json"
if not jobs_file.exists():
return "0"
try:
with open(jobs_file, encoding="utf-8") as f:
data = json.load(f)
jobs = data.get("jobs", [])
active = sum(1 for j in jobs if j.get("enabled", True))
return f"{active} active / {len(jobs)} total"
except Exception:
return "(error reading)"
def _configured_platforms() -> list[str]:
"""Return list of configured messaging platform names."""
checks = {
"telegram": "TELEGRAM_BOT_TOKEN",
"discord": "DISCORD_BOT_TOKEN",
"slack": "SLACK_BOT_TOKEN",
"whatsapp": "WHATSAPP_ENABLED",
"signal": "SIGNAL_HTTP_URL",
"email": "EMAIL_ADDRESS",
"sms": "TWILIO_ACCOUNT_SID",
"matrix": "MATRIX_HOMESERVER_URL",
"mattermost": "MATTERMOST_URL",
"homeassistant": "HASS_TOKEN",
"dingtalk": "DINGTALK_CLIENT_ID",
"feishu": "FEISHU_APP_ID",
"wecom": "WECOM_BOT_ID",
}
return [name for name, env in checks.items() if os.getenv(env)]
def _memory_provider(config: dict) -> str:
"""Return the active memory provider name."""
mem = config.get("memory", {})
provider = mem.get("provider", "")
return provider if provider else "built-in"
def _get_model_and_provider(config: dict) -> tuple[str, str]:
"""Extract model and provider from config."""
model_cfg = config.get("model", "")
if isinstance(model_cfg, dict):
model = model_cfg.get("default") or model_cfg.get("model") or model_cfg.get("name") or "(not set)"
provider = model_cfg.get("provider") or "(auto)"
elif isinstance(model_cfg, str):
model = model_cfg or "(not set)"
provider = "(auto)"
else:
model = "(not set)"
provider = "(auto)"
return model, provider
def _config_overrides(config: dict) -> dict[str, str]:
"""Find non-default config values worth reporting.
Returns a flat dict of dotpath -> value for interesting overrides.
"""
from hermes_cli.config import DEFAULT_CONFIG
overrides = {}
# Sections with interesting user-facing overrides
interesting_paths = [
("agent", "max_turns"),
("agent", "gateway_timeout"),
("agent", "tool_use_enforcement"),
("terminal", "backend"),
("terminal", "docker_image"),
("terminal", "persistent_shell"),
("browser", "allow_private_urls"),
("compression", "enabled"),
("compression", "threshold"),
("display", "streaming"),
("display", "skin"),
("display", "show_reasoning"),
("smart_model_routing", "enabled"),
("privacy", "redact_pii"),
("tts", "provider"),
]
for section, key in interesting_paths:
default_section = DEFAULT_CONFIG.get(section, {})
user_section = config.get(section, {})
if not isinstance(default_section, dict) or not isinstance(user_section, dict):
continue
default_val = default_section.get(key)
user_val = user_section.get(key)
if user_val is not None and user_val != default_val:
overrides[f"{section}.{key}"] = str(user_val)
# Toolsets (if different from default)
default_toolsets = DEFAULT_CONFIG.get("toolsets", [])
user_toolsets = config.get("toolsets", [])
if user_toolsets != default_toolsets:
overrides["toolsets"] = str(user_toolsets)
# Fallback providers
fallbacks = config.get("fallback_providers", [])
if fallbacks:
overrides["fallback_providers"] = str(fallbacks)
return overrides
def run_dump(args):
"""Output a compact, copy-pasteable setup summary."""
show_keys = getattr(args, "show_keys", False)
# Load env from .env file so key checks work
from dotenv import load_dotenv
env_path = get_env_path()
if env_path.exists():
try:
load_dotenv(env_path, encoding="utf-8")
except UnicodeDecodeError:
load_dotenv(env_path, encoding="latin-1")
# Also try project .env as dev fallback
load_dotenv(get_project_root() / ".env", override=False, encoding="utf-8")
project_root = get_project_root()
hermes_home = get_hermes_home()
try:
from hermes_cli import __version__, __release_date__
except ImportError:
__version__ = "(unknown)"
__release_date__ = ""
commit = _get_git_commit(project_root)
try:
config = load_config()
except Exception:
config = {}
model, provider = _get_model_and_provider(config)
# Profile
try:
from hermes_cli.profiles import get_active_profile_name
profile = get_active_profile_name() or "(default)"
except Exception:
profile = "(default)"
# Terminal backend
terminal_cfg = config.get("terminal", {})
backend = terminal_cfg.get("backend", "local")
# OpenAI SDK version
try:
import openai
openai_ver = openai.__version__
except ImportError:
openai_ver = "not installed"
# OS info
os_info = f"{platform.system()} {platform.release()} {platform.machine()}"
lines = []
lines.append("--- hermes dump ---")
ver_str = f"{__version__}"
if __release_date__:
ver_str += f" ({__release_date__})"
ver_str += f" [{commit}]"
lines.append(f"version: {ver_str}")
lines.append(f"os: {os_info}")
lines.append(f"python: {sys.version.split()[0]}")
lines.append(f"openai_sdk: {openai_ver}")
lines.append(f"profile: {profile}")
lines.append(f"hermes_home: {display_hermes_home()}")
lines.append(f"model: {model}")
lines.append(f"provider: {provider}")
lines.append(f"terminal: {backend}")
# API keys
lines.append("")
lines.append("api_keys:")
api_keys = [
("OPENROUTER_API_KEY", "openrouter"),
("OPENAI_API_KEY", "openai"),
("ANTHROPIC_API_KEY", "anthropic"),
("ANTHROPIC_TOKEN", "anthropic_token"),
("NOUS_API_KEY", "nous"),
("GLM_API_KEY", "glm/zai"),
("ZAI_API_KEY", "zai"),
("KIMI_API_KEY", "kimi"),
("MINIMAX_API_KEY", "minimax"),
("DEEPSEEK_API_KEY", "deepseek"),
("DASHSCOPE_API_KEY", "dashscope"),
("HF_TOKEN", "huggingface"),
("AI_GATEWAY_API_KEY", "ai_gateway"),
("OPENCODE_ZEN_API_KEY", "opencode_zen"),
("OPENCODE_GO_API_KEY", "opencode_go"),
("KILOCODE_API_KEY", "kilocode"),
("FIRECRAWL_API_KEY", "firecrawl"),
("TAVILY_API_KEY", "tavily"),
("BROWSERBASE_API_KEY", "browserbase"),
("FAL_KEY", "fal"),
("ELEVENLABS_API_KEY", "elevenlabs"),
("GITHUB_TOKEN", "github"),
]
for env_var, label in api_keys:
val = os.getenv(env_var, "")
if show_keys and val:
display = _redact(val)
else:
display = "set" if val else "not set"
lines.append(f" {label:<20} {display}")
# Features summary
lines.append("")
lines.append("features:")
toolsets = config.get("toolsets", ["hermes-cli"])
lines.append(f" toolsets: {', '.join(toolsets) if toolsets else '(default)'}")
lines.append(f" mcp_servers: {_count_mcp_servers(config)}")
lines.append(f" memory_provider: {_memory_provider(config)}")
lines.append(f" gateway: {_gateway_status()}")
platforms = _configured_platforms()
lines.append(f" platforms: {', '.join(platforms) if platforms else 'none'}")
lines.append(f" cron_jobs: {_cron_summary(hermes_home)}")
lines.append(f" skills: {_count_skills(hermes_home)}")
# Config overrides (non-default values)
overrides = _config_overrides(config)
if overrides:
lines.append("")
lines.append("config_overrides:")
for key, val in overrides.items():
lines.append(f" {key}: {val}")
lines.append("--- end dump ---")
output = "\n".join(lines)
print(output)
+9 -79
View File
@@ -267,34 +267,6 @@ def _profile_suffix() -> str:
return hashlib.sha256(str(home).encode()).hexdigest()[:8]
def _profile_arg(hermes_home: str | None = None) -> str:
"""Return ``--profile <name>`` only when HERMES_HOME is a named profile.
For ``~/.hermes/profiles/<name>``, returns ``"--profile <name>"``.
For the default profile or hash-based custom paths, returns the empty string.
Args:
hermes_home: Optional explicit HERMES_HOME path. Defaults to the current
``get_hermes_home()`` value. Should be passed when generating a
service definition for a different user (e.g. system service).
"""
import re
from pathlib import Path as _Path
home = Path(hermes_home or str(get_hermes_home())).resolve()
default = (_Path.home() / ".hermes").resolve()
if home == default:
return ""
profiles_root = (default / "profiles").resolve()
try:
rel = home.relative_to(profiles_root)
parts = rel.parts
if len(parts) == 1 and re.match(r"^[a-z0-9][a-z0-9_-]{0,63}$", parts[0]):
return f"--profile {parts[0]}"
except ValueError:
pass
return ""
def get_service_name() -> str:
"""Derive a systemd service name scoped to this HERMES_HOME.
@@ -654,7 +626,6 @@ def generate_systemd_unit(system: bool = False, run_as_user: str | None = None)
if system:
username, group_name, home_dir = _system_service_identity(run_as_user)
hermes_home = _hermes_home_for_target_user(home_dir)
profile_arg = _profile_arg(hermes_home)
path_entries.extend(_build_user_local_paths(Path(home_dir), path_entries))
path_entries.extend(common_bin_paths)
sane_path = ":".join(path_entries)
@@ -669,7 +640,7 @@ StartLimitBurst=5
Type=simple
User={username}
Group={group_name}
ExecStart={python_path} -m hermes_cli.main{f" {profile_arg}" if profile_arg else ""} gateway run --replace
ExecStart={python_path} -m hermes_cli.main gateway run --replace
WorkingDirectory={working_dir}
Environment="HOME={home_dir}"
Environment="USER={username}"
@@ -690,7 +661,6 @@ WantedBy=multi-user.target
"""
hermes_home = str(get_hermes_home().resolve())
profile_arg = _profile_arg(hermes_home)
path_entries.extend(_build_user_local_paths(Path.home(), path_entries))
path_entries.extend(common_bin_paths)
sane_path = ":".join(path_entries)
@@ -702,7 +672,7 @@ StartLimitBurst=5
[Service]
Type=simple
ExecStart={python_path} -m hermes_cli.main{f" {profile_arg}" if profile_arg else ""} gateway run --replace
ExecStart={python_path} -m hermes_cli.main gateway run --replace
WorkingDirectory={working_dir}
Environment="PATH={sane_path}"
Environment="VIRTUAL_ENV={venv_dir}"
@@ -995,7 +965,6 @@ def generate_launchd_plist() -> str:
log_dir = get_hermes_home() / "logs"
log_dir.mkdir(parents=True, exist_ok=True)
label = get_launchd_label()
profile_arg = _profile_arg(hermes_home)
# Build a sane PATH for the launchd plist. launchd provides only a
# minimal default (/usr/bin:/bin:/usr/sbin:/sbin) which misses Homebrew,
# nvm, cargo, etc. We prepend venv/bin and node_modules/.bin (matching
@@ -1017,32 +986,21 @@ def generate_launchd_plist() -> str:
dict.fromkeys(priority_dirs + [p for p in os.environ.get("PATH", "").split(":") if p])
)
# Build ProgramArguments array, including --profile when using a named profile
prog_args = [
f"<string>{python_path}</string>",
"<string>-m</string>",
"<string>hermes_cli.main</string>",
]
if profile_arg:
for part in profile_arg.split():
prog_args.append(f"<string>{part}</string>")
prog_args.extend([
"<string>gateway</string>",
"<string>run</string>",
"<string>--replace</string>",
])
prog_args_xml = "\n ".join(prog_args)
return f"""<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>Label</key>
<string>{label}</string>
<key>ProgramArguments</key>
<array>
{prog_args_xml}
<string>{python_path}</string>
<string>-m</string>
<string>hermes_cli.main</string>
<string>gateway</string>
<string>run</string>
<string>--replace</string>
</array>
<key>WorkingDirectory</key>
@@ -1588,34 +1546,6 @@ _PLATFORMS = [
"help": "Chat ID for scheduled results and notifications."},
],
},
{
"key": "bluebubbles",
"label": "BlueBubbles (iMessage)",
"emoji": "💬",
"token_var": "BLUEBUBBLES_SERVER_URL",
"setup_instructions": [
"1. Install BlueBubbles on a Mac that will act as your iMessage server:",
" https://bluebubbles.app/",
"2. Complete the BlueBubbles setup wizard — sign in with your Apple ID",
"3. In BlueBubbles Settings → API, note the Server URL and password",
"4. The server URL is typically http://<your-mac-ip>:1234",
"5. Hermes connects via the BlueBubbles REST API and receives",
" incoming messages via a local webhook",
"6. To authorize users, use DM pairing: hermes pairing generate bluebubbles",
" Share the code — the user sends it via iMessage to get approved",
],
"vars": [
{"name": "BLUEBUBBLES_SERVER_URL", "prompt": "BlueBubbles server URL (e.g. http://192.168.1.10:1234)", "password": False,
"help": "The URL shown in BlueBubbles Settings → API."},
{"name": "BLUEBUBBLES_PASSWORD", "prompt": "BlueBubbles server password", "password": True,
"help": "The password shown in BlueBubbles Settings → API."},
{"name": "BLUEBUBBLES_ALLOWED_USERS", "prompt": "Pre-authorized phone numbers or iMessage IDs (comma-separated, or leave empty for DM pairing)", "password": False,
"is_allowlist": True,
"help": "Optional — pre-authorize specific users. Leave empty to use DM pairing instead (recommended)."},
{"name": "BLUEBUBBLES_HOME_CHANNEL", "prompt": "Home channel (phone number or iMessage ID for cron/notifications, or empty)", "password": False,
"help": "Phone number or Apple ID to deliver cron results and notifications to."},
],
},
]
+1 -81
View File
@@ -918,7 +918,6 @@ def select_provider_and_model(args=None):
"openrouter": "OpenRouter",
"nous": "Nous Portal",
"openai-codex": "OpenAI Codex",
"qwen-oauth": "Qwen OAuth",
"copilot-acp": "GitHub Copilot ACP",
"copilot": "GitHub Copilot",
"anthropic": "Anthropic",
@@ -948,7 +947,6 @@ def select_provider_and_model(args=None):
("openrouter", "OpenRouter (100+ models, pay-per-use)"),
("anthropic", "Anthropic (Claude models — API key or Claude Code)"),
("openai-codex", "OpenAI Codex"),
("qwen-oauth", "Qwen OAuth (reuses local Qwen CLI login)"),
("copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
("huggingface", "Hugging Face Inference Providers (20+ open models)"),
]
@@ -1045,8 +1043,6 @@ def select_provider_and_model(args=None):
_model_flow_nous(config, current_model, args=args)
elif selected_provider == "openai-codex":
_model_flow_openai_codex(config, current_model)
elif selected_provider == "qwen-oauth":
_model_flow_qwen_oauth(config, current_model)
elif selected_provider == "copilot-acp":
_model_flow_copilot_acp(config, current_model)
elif selected_provider == "copilot":
@@ -1363,56 +1359,6 @@ def _model_flow_openai_codex(config, current_model=""):
_DEFAULT_QWEN_PORTAL_MODELS = [
"qwen3-coder-plus",
"qwen3-coder",
]
def _model_flow_qwen_oauth(_config, current_model=""):
"""Qwen OAuth provider: reuse local Qwen CLI login, then pick model."""
from hermes_cli.auth import (
get_qwen_auth_status,
resolve_qwen_runtime_credentials,
_prompt_model_selection,
_save_model_choice,
_update_config_for_provider,
DEFAULT_QWEN_BASE_URL,
)
from hermes_cli.models import fetch_api_models
status = get_qwen_auth_status()
if not status.get("logged_in"):
print("Not logged into Qwen CLI OAuth.")
print("Run: qwen auth qwen-oauth")
auth_file = status.get("auth_file")
if auth_file:
print(f"Expected credentials file: {auth_file}")
if status.get("error"):
print(f"Error: {status.get('error')}")
return
# Try live model discovery, fall back to curated list.
models = None
try:
creds = resolve_qwen_runtime_credentials(refresh_if_expiring=True)
models = fetch_api_models(creds["api_key"], creds["base_url"])
except Exception:
pass
if not models:
models = list(_DEFAULT_QWEN_PORTAL_MODELS)
default = current_model or (models[0] if models else "qwen3-coder-plus")
selected = _prompt_model_selection(models, current_model=default)
if selected:
_save_model_choice(selected)
_update_config_for_provider("qwen-oauth", DEFAULT_QWEN_BASE_URL)
print(f"Default model set to: {selected} (via Qwen OAuth)")
else:
print("No change.")
def _model_flow_custom(config):
"""Custom endpoint: collect URL, API key, and model name.
@@ -1474,11 +1420,7 @@ def _model_flow_custom(config):
f"Hermes will still save it."
)
if probe.get("suggested_base_url"):
suggested = probe["suggested_base_url"]
if suggested.endswith("/v1"):
print(f" If this server expects /v1 in the path, try base URL: {suggested}")
else:
print(f" If /v1 should not be in the base URL, try: {suggested}")
print(f" If this server expects /v1, try base URL: {probe['suggested_base_url']}")
# Select model — use probe results when available, fall back to manual input
model_name = ""
@@ -2643,12 +2585,6 @@ def cmd_doctor(args):
run_doctor(args)
def cmd_dump(args):
"""Dump setup summary for support/debugging."""
from hermes_cli.dump import run_dump
run_dump(args)
def cmd_config(args):
"""Configuration management."""
from hermes_cli.config import config_command
@@ -4730,22 +4666,6 @@ For more help on a command:
help="Attempt to fix issues automatically"
)
doctor_parser.set_defaults(func=cmd_doctor)
# =========================================================================
# dump command
# =========================================================================
dump_parser = subparsers.add_parser(
"dump",
help="Dump setup summary for support/debugging",
description="Output a compact, plain-text summary of your Hermes setup "
"that can be copy-pasted into Discord/GitHub for support context"
)
dump_parser.add_argument(
"--show-keys",
action="store_true",
help="Show redacted API key prefixes (first/last 4 chars) instead of just set/not set"
)
dump_parser.set_defaults(func=cmd_dump)
# =========================================================================
# config command
-1
View File
@@ -84,7 +84,6 @@ _PASSTHROUGH_PROVIDERS: frozenset[str] = frozenset({
"minimax",
"minimax-cn",
"alibaba",
"qwen-oauth",
"huggingface",
"openai-codex",
"custom",
+9 -20
View File
@@ -537,11 +537,8 @@ def switch_model(
)
else:
# --- Step c: On aggregator, convert vendor:model to vendor/model ---
# Only convert when there's no slash — a slash means the name
# is already in vendor/model format and the colon is a variant
# tag (:free, :extended, :fast) that must be preserved.
colon_pos = raw_input.find(":")
if colon_pos > 0 and "/" not in raw_input and is_aggregator(current_provider):
if colon_pos > 0 and is_aggregator(current_provider):
left = raw_input[:colon_pos].strip().lower()
right = raw_input[colon_pos + 1:].strip()
if left and right:
@@ -733,7 +730,6 @@ def list_authenticated_providers(
fetch_models_dev,
get_provider_info as _mdev_pinfo,
)
from hermes_cli.auth import PROVIDER_REGISTRY
from hermes_cli.models import OPENROUTER_MODELS, _PROVIDER_MODELS
results: List[dict] = []
@@ -754,16 +750,9 @@ def list_authenticated_providers(
if not isinstance(pdata, dict):
continue
# Prefer auth.py PROVIDER_REGISTRY for env var names — it's our
# source of truth. models.dev can have wrong mappings (e.g.
# minimax-cn → MINIMAX_API_KEY instead of MINIMAX_CN_API_KEY).
pconfig = PROVIDER_REGISTRY.get(hermes_id)
if pconfig and pconfig.api_key_env_vars:
env_vars = list(pconfig.api_key_env_vars)
else:
env_vars = pdata.get("env", [])
if not isinstance(env_vars, list):
continue
env_vars = pdata.get("env", [])
if not isinstance(env_vars, list):
continue
# Check if any env var is set
has_creds = any(os.environ.get(ev) for ev in env_vars)
@@ -802,12 +791,12 @@ def list_authenticated_providers(
if overlay.auth_type in ("oauth_device_code", "oauth_external", "external_process"):
# These use auth stores, not env vars — check for auth.json entries
try:
from hermes_cli.auth import _load_auth_store
store = _load_auth_store()
if store and (pid in store.get("providers", {}) or pid in store.get("credential_pool", {})):
from hermes_cli.auth import _read_auth_store
store = _read_auth_store()
if store and pid in store:
has_creds = True
except Exception as exc:
logger.debug("Auth store check failed for %s: %s", pid, exc)
except Exception:
pass
if not has_creds:
continue
+9 -16
View File
@@ -144,22 +144,18 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"kimi-k2-0905-preview",
],
"minimax": [
"MiniMax-M1",
"MiniMax-M1-40k",
"MiniMax-M1-80k",
"MiniMax-M1-128k",
"MiniMax-M1-256k",
"MiniMax-M2.5",
"MiniMax-M2.7",
"MiniMax-M2.7-highspeed",
"MiniMax-M2.5",
"MiniMax-M2.5-highspeed",
"MiniMax-M2.1",
],
"minimax-cn": [
"MiniMax-M1",
"MiniMax-M1-40k",
"MiniMax-M1-80k",
"MiniMax-M1-128k",
"MiniMax-M1-256k",
"MiniMax-M2.5",
"MiniMax-M2.7",
"MiniMax-M2.7-highspeed",
"MiniMax-M2.5",
"MiniMax-M2.5-highspeed",
"MiniMax-M2.1",
],
"anthropic": [
"claude-opus-4-6",
@@ -483,7 +479,6 @@ _PROVIDER_LABELS = {
"ai-gateway": "AI Gateway",
"kilocode": "Kilo Code",
"alibaba": "Alibaba Cloud (DashScope)",
"qwen-oauth": "Qwen OAuth (Portal)",
"huggingface": "Hugging Face",
"custom": "Custom endpoint",
}
@@ -523,7 +518,6 @@ _PROVIDER_ALIASES = {
"aliyun": "alibaba",
"qwen": "alibaba",
"alibaba-cloud": "alibaba",
"qwen-portal": "qwen-oauth",
"hf": "huggingface",
"hugging-face": "huggingface",
"huggingface-hub": "huggingface",
@@ -769,7 +763,6 @@ def list_available_providers() -> list[dict[str, str]]:
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"gemini", "huggingface",
"zai", "kimi-coding", "minimax", "minimax-cn", "kilocode", "anthropic", "alibaba",
"qwen-oauth",
"opencode-zen", "opencode-go",
"ai-gateway", "deepseek", "custom",
]
@@ -1532,7 +1525,7 @@ def probe_api_models(
return {
"models": None,
"probed_url": tried[0] if tried else normalized.rstrip("/") + "/models",
"probed_url": tried[-1] if tried else normalized.rstrip("/") + "/models",
"resolved_base_url": normalized,
"suggested_base_url": alternate_base if alternate_base != normalized else None,
"used_fallback": False,
-2
View File
@@ -61,8 +61,6 @@ VALID_HOOKS: Set[str] = {
"post_api_request",
"on_session_start",
"on_session_end",
"on_session_finalize",
"on_session_reset",
}
ENTRY_POINTS_GROUP = "hermes_agent.plugins"
+3 -3
View File
@@ -102,7 +102,7 @@ _RESERVED_NAMES = frozenset({
# Hermes subcommands that cannot be used as profile names/aliases
_HERMES_SUBCOMMANDS = frozenset({
"chat", "model", "gateway", "setup", "whatsapp", "login", "logout",
"status", "cron", "doctor", "dump", "config", "pairing", "skills", "tools",
"status", "cron", "doctor", "config", "pairing", "skills", "tools",
"mcp", "sessions", "insights", "version", "update", "uninstall",
"profile", "plugins", "honcho", "acp",
})
@@ -1007,7 +1007,7 @@ _hermes_completion() {
# Top-level subcommands
if [[ "$COMP_CWORD" == 1 ]]; then
local commands="chat model gateway setup status cron doctor dump config skills tools mcp sessions profile update version"
local commands="chat model gateway setup status cron doctor config skills tools mcp sessions profile update version"
COMPREPLY=($(compgen -W "$commands" -- "$cur"))
fi
}
@@ -1032,7 +1032,7 @@ _hermes() {
_arguments \\
'-p[Profile name]:profile:($profiles)' \\
'--profile[Profile name]:profile:($profiles)' \\
'1:command:(chat model gateway setup status cron doctor dump config skills tools mcp sessions profile update version)' \\
'1:command:(chat model gateway setup status cron doctor config skills tools mcp sessions profile update version)' \\
'*::arg:->args'
case $words[1] in
-6
View File
@@ -58,12 +58,6 @@ HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
auth_type="oauth_external",
base_url_override="https://chatgpt.com/backend-api/codex",
),
"qwen-oauth": HermesOverlay(
transport="openai_chat",
auth_type="oauth_external",
base_url_override="https://portal.qwen.ai/v1",
base_url_env_var="HERMES_QWEN_BASE_URL",
),
"copilot-acp": HermesOverlay(
transport="codex_responses",
auth_type="external_process",
+1 -42
View File
@@ -14,13 +14,11 @@ from agent.credential_pool import CredentialPool, PooledCredential, get_custom_p
from hermes_cli.auth import (
AuthError,
DEFAULT_CODEX_BASE_URL,
DEFAULT_QWEN_BASE_URL,
PROVIDER_REGISTRY,
format_auth_error,
resolve_provider,
resolve_nous_runtime_credentials,
resolve_codex_runtime_credentials,
resolve_qwen_runtime_credentials,
resolve_api_key_provider_credentials,
resolve_external_process_provider_credentials,
has_usable_secret,
@@ -150,9 +148,6 @@ def _resolve_runtime_from_pool_entry(
if provider == "openai-codex":
api_mode = "codex_responses"
base_url = base_url or DEFAULT_CODEX_BASE_URL
elif provider == "qwen-oauth":
api_mode = "chat_completions"
base_url = base_url or DEFAULT_QWEN_BASE_URL
elif provider == "anthropic":
api_mode = "anthropic_messages"
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
@@ -168,16 +163,6 @@ def _resolve_runtime_from_pool_entry(
api_mode = _copilot_runtime_api_mode(model_cfg, getattr(entry, "runtime_api_key", ""))
else:
configured_provider = str(model_cfg.get("provider") or "").strip().lower()
# Honour model.base_url from config.yaml when the configured provider
# matches this provider — same pattern as the Anthropic branch above.
# Only override when the pool entry has no explicit base_url (i.e. it
# fell back to the hardcoded default). Env var overrides win (#6039).
pconfig = PROVIDER_REGISTRY.get(provider)
pool_url_is_default = pconfig and base_url.rstrip("/") == pconfig.inference_base_url.rstrip("/")
if configured_provider == provider and pool_url_is_default:
cfg_base_url = str(model_cfg.get("base_url") or "").strip().rstrip("/")
if cfg_base_url:
base_url = cfg_base_url
configured_mode = _parse_api_mode(model_cfg.get("api_mode"))
if configured_mode and _provider_supports_explicit_api_mode(provider, configured_provider):
api_mode = configured_mode
@@ -696,24 +681,6 @@ def resolve_runtime_provider(
logger.info("Auto-detected Codex provider but credentials failed; "
"falling through to next provider.")
if provider == "qwen-oauth":
try:
creds = resolve_qwen_runtime_credentials()
return {
"provider": "qwen-oauth",
"api_mode": "chat_completions",
"base_url": creds.get("base_url", "").rstrip("/"),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "qwen-cli"),
"expires_at_ms": creds.get("expires_at_ms"),
"requested_provider": requested_provider,
}
except AuthError:
if requested_provider != "auto":
raise
logger.info("Qwen OAuth credentials failed; "
"falling through to next provider.")
if provider == "copilot-acp":
creds = resolve_external_process_provider_credentials(provider)
return {
@@ -757,15 +724,7 @@ def resolve_runtime_provider(
pconfig = PROVIDER_REGISTRY.get(provider)
if pconfig and pconfig.auth_type == "api_key":
creds = resolve_api_key_provider_credentials(provider)
# Honour model.base_url from config.yaml when the configured provider
# matches this provider — mirrors the Anthropic path above. Without
# this, users who set model.base_url to e.g. api.minimaxi.com/anthropic
# (China endpoint) still get the hardcoded api.minimax.io default (#6039).
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
cfg_base_url = ""
if cfg_provider == provider:
cfg_base_url = (model_cfg.get("base_url") or "").strip().rstrip("/")
base_url = cfg_base_url or creds.get("base_url", "").rstrip("/")
base_url = creds.get("base_url", "").rstrip("/")
api_mode = "chat_completions"
if provider == "copilot":
api_mode = _copilot_runtime_api_mode(model_cfg, creds.get("api_key", ""))
+28 -259
View File
@@ -105,8 +105,8 @@ _DEFAULT_PROVIDER_MODELS = {
],
"zai": ["glm-5", "glm-4.7", "glm-4.5", "glm-4.5-flash"],
"kimi-coding": ["kimi-k2.5", "kimi-k2-thinking", "kimi-k2-turbo-preview"],
"minimax": ["MiniMax-M1", "MiniMax-M1-40k", "MiniMax-M1-80k", "MiniMax-M1-128k", "MiniMax-M1-256k", "MiniMax-M2.5", "MiniMax-M2.7"],
"minimax-cn": ["MiniMax-M1", "MiniMax-M1-40k", "MiniMax-M1-80k", "MiniMax-M1-128k", "MiniMax-M1-256k", "MiniMax-M2.5", "MiniMax-M2.7"],
"minimax": ["MiniMax-M2.7", "MiniMax-M2.7-highspeed", "MiniMax-M2.5", "MiniMax-M2.5-highspeed", "MiniMax-M2.1"],
"minimax-cn": ["MiniMax-M2.7", "MiniMax-M2.7-highspeed", "MiniMax-M2.5", "MiniMax-M2.5-highspeed", "MiniMax-M2.1"],
"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"],
@@ -421,22 +421,10 @@ def _curses_prompt_choice(question: str, choices: list, default: int = 0) -> int
curses.init_pair(1, curses.COLOR_GREEN, -1)
curses.init_pair(2, curses.COLOR_YELLOW, -1)
cursor = default
scroll_offset = 0
while True:
stdscr.clear()
max_y, max_x = stdscr.getmaxyx()
# Rows available for list items: rows 2..(max_y-2) inclusive.
visible = max(1, max_y - 3)
# Scroll the viewport so the cursor is always visible.
if cursor < scroll_offset:
scroll_offset = cursor
elif cursor >= scroll_offset + visible:
scroll_offset = cursor - visible + 1
scroll_offset = max(0, min(scroll_offset, max(0, len(choices) - visible)))
try:
stdscr.addnstr(
0,
@@ -448,12 +436,12 @@ def _curses_prompt_choice(question: str, choices: list, default: int = 0) -> int
except curses.error:
pass
for row, i in enumerate(range(scroll_offset, min(scroll_offset + visible, len(choices)))):
y = row + 2
for i, choice in enumerate(choices):
y = i + 2
if y >= max_y - 1:
break
arrow = "" if i == cursor else " "
line = f" {arrow} {choices[i]}"
line = f" {arrow} {choice}"
attr = curses.A_NORMAL
if i == cursor:
attr = curses.A_BOLD
@@ -2167,71 +2155,6 @@ def _setup_whatsapp():
print_info("or personal self-chat) and pair via QR code.")
def _setup_bluebubbles():
"""Configure BlueBubbles iMessage gateway."""
print_header("BlueBubbles (iMessage)")
existing = get_env_value("BLUEBUBBLES_SERVER_URL")
if existing:
print_info("BlueBubbles: already configured")
if not prompt_yes_no("Reconfigure BlueBubbles?", False):
return
print_info("Connects Hermes to iMessage via BlueBubbles — a free, open-source")
print_info("macOS server that bridges iMessage to any device.")
print_info(" Requires a Mac running BlueBubbles Server v1.0.0+")
print_info(" Download: https://bluebubbles.app/")
print()
print_info("In BlueBubbles Server → Settings → API, note your Server URL and Password.")
print()
server_url = prompt("BlueBubbles server URL (e.g. http://192.168.1.10:1234)")
if not server_url:
print_warning("Server URL is required — skipping BlueBubbles setup")
return
save_env_value("BLUEBUBBLES_SERVER_URL", server_url.rstrip("/"))
password = prompt("BlueBubbles server password", password=True)
if not password:
print_warning("Password is required — skipping BlueBubbles setup")
return
save_env_value("BLUEBUBBLES_PASSWORD", password)
print_success("BlueBubbles credentials saved")
print()
print_info("🔒 Security: Restrict who can message your bot")
print_info(" Use iMessage addresses: email (user@icloud.com) or phone (+15551234567)")
print()
allowed_users = prompt("Allowed iMessage addresses (comma-separated, leave empty for open access)")
if allowed_users:
save_env_value("BLUEBUBBLES_ALLOWED_USERS", allowed_users.replace(" ", ""))
print_success("BlueBubbles allowlist configured")
else:
print_info("⚠️ No allowlist set — anyone who can iMessage you can use the bot!")
print()
print_info("📬 Home Channel: phone or email for cron job delivery and notifications.")
print_info(" You can also set this later with /set-home in your iMessage chat.")
home_channel = prompt("Home channel address (leave empty to set later)")
if home_channel:
save_env_value("BLUEBUBBLES_HOME_CHANNEL", home_channel)
print()
print_info("Advanced settings (defaults are fine for most setups):")
if prompt_yes_no("Configure webhook listener settings?", False):
webhook_port = prompt("Webhook listener port (default: 8645)")
if webhook_port:
try:
save_env_value("BLUEBUBBLES_WEBHOOK_PORT", str(int(webhook_port)))
print_success(f"Webhook port set to {webhook_port}")
except ValueError:
print_warning("Invalid port number, using default 8645")
print()
print_info("Requires the BlueBubbles Private API helper for typing indicators,")
print_info("read receipts, and tapback reactions. Basic messaging works without it.")
print_info(" Install: https://docs.bluebubbles.app/helper-bundle/installation")
def _setup_webhooks():
"""Configure webhook integration."""
print_header("Webhooks")
@@ -2286,7 +2209,6 @@ _GATEWAY_PLATFORMS = [
("Matrix", "MATRIX_ACCESS_TOKEN", _setup_matrix),
("Mattermost", "MATTERMOST_TOKEN", _setup_mattermost),
("WhatsApp", "WHATSAPP_ENABLED", _setup_whatsapp),
("BlueBubbles (iMessage)", "BLUEBUBBLES_SERVER_URL", _setup_bluebubbles),
("Webhooks (GitHub, GitLab, etc.)", "WEBHOOK_ENABLED", _setup_webhooks),
]
@@ -2330,7 +2252,6 @@ def setup_gateway(config: dict):
or get_env_value("MATRIX_ACCESS_TOKEN")
or get_env_value("MATRIX_PASSWORD")
or get_env_value("WHATSAPP_ENABLED")
or get_env_value("BLUEBUBBLES_SERVER_URL")
or get_env_value("WEBHOOK_ENABLED")
)
if any_messaging:
@@ -2350,8 +2271,6 @@ def setup_gateway(config: dict):
missing_home.append("Discord")
if get_env_value("SLACK_BOT_TOKEN") and not get_env_value("SLACK_HOME_CHANNEL"):
missing_home.append("Slack")
if get_env_value("BLUEBUBBLES_SERVER_URL") and not get_env_value("BLUEBUBBLES_HOME_CHANNEL"):
missing_home.append("BlueBubbles")
if missing_home:
print()
@@ -2522,8 +2441,6 @@ def _get_section_config_summary(config: dict, section_key: str) -> Optional[str]
platforms.append("WhatsApp")
if get_env_value("SIGNAL_ACCOUNT"):
platforms.append("Signal")
if get_env_value("BLUEBUBBLES_SERVER_URL"):
platforms.append("BlueBubbles")
if platforms:
return ", ".join(platforms)
return None # No platforms configured — section must run
@@ -2572,120 +2489,9 @@ _OPENCLAW_SCRIPT = (
)
def _load_openclaw_migration_module():
"""Load the openclaw_to_hermes migration script as a module.
Returns the loaded module, or None if the script can't be loaded.
"""
if not _OPENCLAW_SCRIPT.exists():
return None
spec = importlib.util.spec_from_file_location(
"openclaw_to_hermes", _OPENCLAW_SCRIPT
)
if spec is None or spec.loader is None:
return None
mod = importlib.util.module_from_spec(spec)
# Register in sys.modules so @dataclass can resolve the module
# (Python 3.11+ requires this for dynamically loaded modules)
import sys as _sys
_sys.modules[spec.name] = mod
try:
spec.loader.exec_module(mod)
except Exception:
_sys.modules.pop(spec.name, None)
raise
return mod
# Item kinds that represent high-impact changes warranting explicit warnings.
# Gateway tokens/channels can hijack messaging platforms from the old agent.
# Config values may have different semantics between OpenClaw and Hermes.
# Instruction/context files (.md) can contain incompatible setup procedures.
_HIGH_IMPACT_KIND_KEYWORDS = {
"gateway": "⚠ Gateway/messaging — this will configure Hermes to use your OpenClaw messaging channels",
"telegram": "⚠ Telegram — this will point Hermes at your OpenClaw Telegram bot",
"slack": "⚠ Slack — this will point Hermes at your OpenClaw Slack workspace",
"discord": "⚠ Discord — this will point Hermes at your OpenClaw Discord bot",
"whatsapp": "⚠ WhatsApp — this will point Hermes at your OpenClaw WhatsApp connection",
"config": "⚠ Config values — OpenClaw settings may not map 1:1 to Hermes equivalents",
"soul": "⚠ Instruction file — may contain OpenClaw-specific setup/restart procedures",
"memory": "⚠ Memory/context file — may reference OpenClaw-specific infrastructure",
"context": "⚠ Context file — may contain OpenClaw-specific instructions",
}
def _print_migration_preview(report: dict):
"""Print a detailed dry-run preview of what migration would do.
Groups items by category and adds explicit warnings for high-impact
changes like gateway token takeover and config value differences.
"""
items = report.get("items", [])
if not items:
print_info("Nothing to migrate.")
return
migrated_items = [i for i in items if i.get("status") == "migrated"]
conflict_items = [i for i in items if i.get("status") == "conflict"]
skipped_items = [i for i in items if i.get("status") == "skipped"]
warnings_shown = set()
if migrated_items:
print(color(" Would import:", Colors.GREEN))
for item in migrated_items:
kind = item.get("kind", "unknown")
dest = item.get("destination", "")
if dest:
dest_short = str(dest).replace(str(Path.home()), "~")
print(f" {kind:<22s}{dest_short}")
else:
print(f" {kind}")
# Check for high-impact items and collect warnings
kind_lower = kind.lower()
dest_lower = str(dest).lower()
for keyword, warning in _HIGH_IMPACT_KIND_KEYWORDS.items():
if keyword in kind_lower or keyword in dest_lower:
warnings_shown.add(warning)
print()
if conflict_items:
print(color(" Would overwrite (conflicts with existing Hermes config):", Colors.YELLOW))
for item in conflict_items:
kind = item.get("kind", "unknown")
reason = item.get("reason", "already exists")
print(f" {kind:<22s} {reason}")
print()
if skipped_items:
print(color(" Would skip:", Colors.DIM))
for item in skipped_items:
kind = item.get("kind", "unknown")
reason = item.get("reason", "")
print(f" {kind:<22s} {reason}")
print()
# Print collected warnings
if warnings_shown:
print(color(" ── Warnings ──", Colors.YELLOW))
for warning in sorted(warnings_shown):
print(color(f" {warning}", Colors.YELLOW))
print()
print(color(" Note: OpenClaw config values may have different semantics in Hermes.", Colors.YELLOW))
print(color(" For example, OpenClaw's tool_call_execution: \"auto\" ≠ Hermes's yolo mode.", Colors.YELLOW))
print(color(" Instruction files (.md) from OpenClaw may contain incompatible procedures.", Colors.YELLOW))
print()
def _offer_openclaw_migration(hermes_home: Path) -> bool:
"""Detect ~/.openclaw and offer to migrate during first-time setup.
Runs a dry-run first to show the user exactly what would be imported,
overwritten, or taken over. Only executes after explicit confirmation.
Returns True if migration ran successfully, False otherwise.
"""
openclaw_dir = Path.home() / ".openclaw"
@@ -2698,12 +2504,12 @@ def _offer_openclaw_migration(hermes_home: Path) -> bool:
print()
print_header("OpenClaw Installation Detected")
print_info(f"Found OpenClaw data at {openclaw_dir}")
print_info("Hermes can preview what would be imported before making any changes.")
print_info("Hermes can import your settings, memories, skills, and API keys.")
print()
if not prompt_yes_no("Would you like to see what can be imported?", default=True):
if not prompt_yes_no("Would you like to import from OpenClaw?", default=True):
print_info(
"Skipping migration. You can run it later with: hermes claw migrate --dry-run"
"Skipping migration. You can run it later via the openclaw-migration skill."
)
return False
@@ -2712,71 +2518,34 @@ def _offer_openclaw_migration(hermes_home: Path) -> bool:
if not config_path.exists():
save_config(load_config())
# Load the migration module
# Dynamically load the migration script
try:
mod = _load_openclaw_migration_module()
if mod is None:
spec = importlib.util.spec_from_file_location(
"openclaw_to_hermes", _OPENCLAW_SCRIPT
)
if spec is None or spec.loader is None:
print_warning("Could not load migration script.")
return False
except Exception as e:
print_warning(f"Could not load migration script: {e}")
logger.debug("OpenClaw migration module load error", exc_info=True)
return False
# ── Phase 1: Dry-run preview ──
try:
mod = importlib.util.module_from_spec(spec)
# Register in sys.modules so @dataclass can resolve the module
# (Python 3.11+ requires this for dynamically loaded modules)
import sys as _sys
_sys.modules[spec.name] = mod
try:
spec.loader.exec_module(mod)
except Exception:
_sys.modules.pop(spec.name, None)
raise
# Run migration with the "full" preset, execute mode, no overwrite
selected = mod.resolve_selected_options(None, None, preset="full")
dry_migrator = mod.Migrator(
source_root=openclaw_dir.resolve(),
target_root=hermes_home.resolve(),
execute=False, # dry-run — no files modified
workspace_target=None,
overwrite=True, # show everything including conflicts
migrate_secrets=True,
output_dir=None,
selected_options=selected,
preset_name="full",
)
preview_report = dry_migrator.migrate()
except Exception as e:
print_warning(f"Migration preview failed: {e}")
logger.debug("OpenClaw migration preview error", exc_info=True)
return False
# Display the full preview
preview_summary = preview_report.get("summary", {})
preview_count = preview_summary.get("migrated", 0)
if preview_count == 0:
print()
print_info("Nothing to import from OpenClaw.")
return False
print()
print_header(f"Migration Preview — {preview_count} item(s) would be imported")
print_info("No changes have been made yet. Review the list below:")
print()
_print_migration_preview(preview_report)
# ── Phase 2: Confirm and execute ──
if not prompt_yes_no("Proceed with migration?", default=False):
print_info(
"Migration cancelled. You can run it later with: hermes claw migrate"
)
print_info(
"Use --dry-run to preview again, or --preset minimal for a lighter import."
)
return False
# Execute the migration — overwrite=False so existing Hermes configs are
# preserved. The user saw the preview; conflicts are skipped by default.
try:
migrator = mod.Migrator(
source_root=openclaw_dir.resolve(),
target_root=hermes_home.resolve(),
execute=True,
workspace_target=None,
overwrite=False, # preserve existing Hermes config
overwrite=True,
migrate_secrets=True,
output_dir=None,
selected_options=selected,
@@ -2788,7 +2557,7 @@ def _offer_openclaw_migration(hermes_home: Path) -> bool:
logger.debug("OpenClaw migration error", exc_info=True)
return False
# Print final summary
# Print summary
summary = report.get("summary", {})
migrated = summary.get("migrated", 0)
skipped = summary.get("skipped", 0)
@@ -2799,7 +2568,7 @@ def _offer_openclaw_migration(hermes_home: Path) -> bool:
if migrated:
print_success(f"Imported {migrated} item(s) from OpenClaw.")
if conflicts:
print_info(f"Skipped {conflicts} item(s) that already exist in Hermes (use hermes claw migrate --overwrite to force).")
print_info(f"Skipped {conflicts} item(s) that already exist in Hermes.")
if skipped:
print_info(f"Skipped {skipped} item(s) (not found or unchanged).")
if errors:
-1
View File
@@ -23,7 +23,6 @@ PLATFORMS = {
"slack": "💼 Slack",
"whatsapp": "📱 WhatsApp",
"signal": "📡 Signal",
"bluebubbles": "💬 BlueBubbles",
"email": "📧 Email",
"homeassistant": "🏠 Home Assistant",
"mattermost": "💬 Mattermost",
+1 -19
View File
@@ -153,14 +153,12 @@ def show_status(args):
print(color("◆ Auth Providers", Colors.CYAN, Colors.BOLD))
try:
from hermes_cli.auth import get_nous_auth_status, get_codex_auth_status, get_qwen_auth_status
from hermes_cli.auth import get_nous_auth_status, get_codex_auth_status
nous_status = get_nous_auth_status()
codex_status = get_codex_auth_status()
qwen_status = get_qwen_auth_status()
except Exception:
nous_status = {}
codex_status = {}
qwen_status = {}
nous_logged_in = bool(nous_status.get("logged_in"))
print(
@@ -191,21 +189,6 @@ def show_status(args):
if codex_status.get("error") and not codex_logged_in:
print(f" Error: {codex_status.get('error')}")
qwen_logged_in = bool(qwen_status.get("logged_in"))
print(
f" {'Qwen OAuth':<12} {check_mark(qwen_logged_in)} "
f"{'logged in' if qwen_logged_in else 'not logged in (run: qwen auth qwen-oauth)'}"
)
qwen_auth_file = qwen_status.get("auth_file")
if qwen_auth_file:
print(f" Auth file: {qwen_auth_file}")
qwen_exp = qwen_status.get("expires_at_ms")
if qwen_exp:
from datetime import datetime, timezone
print(f" Access exp: {datetime.fromtimestamp(int(qwen_exp) / 1000, tz=timezone.utc).isoformat()}")
if qwen_status.get("error") and not qwen_logged_in:
print(f" Error: {qwen_status.get('error')}")
# =========================================================================
# Nous Subscription Features
# =========================================================================
@@ -302,7 +285,6 @@ def show_status(args):
"DingTalk": ("DINGTALK_CLIENT_ID", None),
"Feishu": ("FEISHU_APP_ID", "FEISHU_HOME_CHANNEL"),
"WeCom": ("WECOM_BOT_ID", "WECOM_HOME_CHANNEL"),
"BlueBubbles": ("BLUEBUBBLES_SERVER_URL", "BLUEBUBBLES_HOME_CHANNEL"),
}
for name, (token_var, home_var) in platforms.items():
+3 -10
View File
@@ -126,7 +126,6 @@ PLATFORMS = {
"slack": {"label": "💼 Slack", "default_toolset": "hermes-slack"},
"whatsapp": {"label": "📱 WhatsApp", "default_toolset": "hermes-whatsapp"},
"signal": {"label": "📡 Signal", "default_toolset": "hermes-signal"},
"bluebubbles": {"label": "💙 BlueBubbles", "default_toolset": "hermes-bluebubbles"},
"homeassistant": {"label": "🏠 Home Assistant", "default_toolset": "hermes-homeassistant"},
"email": {"label": "📧 Email", "default_toolset": "hermes-email"},
"matrix": {"label": "💬 Matrix", "default_toolset": "hermes-matrix"},
@@ -555,7 +554,6 @@ def _get_platform_tools(
# MCP servers are expected to be available on all platforms by default.
# If the platform explicitly lists one or more MCP server names, treat that
# as an allowlist. Otherwise include every globally enabled MCP server.
# Special sentinel: "no_mcp" in the toolset list disables all MCP servers.
mcp_servers = config.get("mcp_servers") or {}
enabled_mcp_servers = {
name
@@ -563,15 +561,10 @@ def _get_platform_tools(
if isinstance(server_cfg, dict)
and _parse_enabled_flag(server_cfg.get("enabled", True), default=True)
}
# Allow "no_mcp" sentinel to opt out of all MCP servers for this platform
if "no_mcp" in toolset_names:
explicit_mcp_servers = set()
enabled_toolsets.update(explicit_passthrough - enabled_mcp_servers - {"no_mcp"})
else:
explicit_mcp_servers = explicit_passthrough & enabled_mcp_servers
enabled_toolsets.update(explicit_passthrough - enabled_mcp_servers)
explicit_mcp_servers = explicit_passthrough & enabled_mcp_servers
enabled_toolsets.update(explicit_passthrough - enabled_mcp_servers)
if include_default_mcp_servers:
if explicit_mcp_servers or "no_mcp" in toolset_names:
if explicit_mcp_servers:
enabled_toolsets.update(explicit_mcp_servers)
else:
enabled_toolsets.update(enabled_mcp_servers)
+25 -21
View File
@@ -1235,10 +1235,10 @@ class SessionDB:
self._execute_write(_do)
def delete_session(self, session_id: str) -> bool:
"""Delete a session and all its messages.
"""Delete a session, its child sessions, and all their messages.
Child sessions are orphaned (parent_session_id set to NULL) rather
than cascade-deleted, so they remain accessible independently.
Child sessions (subagent runs, compression continuations) are deleted
first to satisfy the ``parent_session_id`` foreign key constraint.
Returns True if the session was found and deleted.
"""
def _do(conn):
@@ -1247,12 +1247,15 @@ class SessionDB:
)
if cursor.fetchone()[0] == 0:
return False
# Orphan child sessions so FK constraint is satisfied
conn.execute(
"UPDATE sessions SET parent_session_id = NULL "
"WHERE parent_session_id = ?",
# Delete child sessions first (FK constraint)
child_ids = [r[0] for r in conn.execute(
"SELECT id FROM sessions WHERE parent_session_id = ?",
(session_id,),
)
).fetchall()]
for cid in child_ids:
conn.execute("DELETE FROM messages WHERE session_id = ?", (cid,))
conn.execute("DELETE FROM sessions WHERE id = ?", (cid,))
# Delete the session itself
conn.execute("DELETE FROM messages WHERE session_id = ?", (session_id,))
conn.execute("DELETE FROM sessions WHERE id = ?", (session_id,))
return True
@@ -1261,9 +1264,9 @@ class SessionDB:
def prune_sessions(self, older_than_days: int = 90, source: str = None) -> int:
"""Delete sessions older than N days. Returns count of deleted sessions.
Only prunes ended sessions (not active ones). Child sessions outside
the prune window are orphaned (parent_session_id set to NULL) rather
than cascade-deleted.
Only prunes ended sessions (not active ones). Child sessions whose
parents are being pruned are deleted first to satisfy the
``parent_session_id`` foreign key constraint.
"""
cutoff = time.time() - (older_than_days * 86400)
@@ -1281,16 +1284,17 @@ class SessionDB:
)
session_ids = set(row["id"] for row in cursor.fetchall())
if not session_ids:
return 0
# Orphan any sessions whose parent is about to be deleted
placeholders = ",".join("?" * len(session_ids))
conn.execute(
f"UPDATE sessions SET parent_session_id = NULL "
f"WHERE parent_session_id IN ({placeholders})",
list(session_ids),
)
# Delete children first whose parents are in the prune set
# (avoids FK constraint errors)
for sid in list(session_ids):
child_ids = [r[0] for r in conn.execute(
"SELECT id FROM sessions WHERE parent_session_id = ?",
(sid,),
).fetchall()]
for cid in child_ids:
conn.execute("DELETE FROM messages WHERE session_id = ?", (cid,))
conn.execute("DELETE FROM sessions WHERE id = ?", (cid,))
session_ids.discard(cid) # don't double-delete
for sid in session_ids:
conn.execute("DELETE FROM messages WHERE session_id = ?", (sid,))
+3 -11
View File
@@ -464,11 +464,7 @@
addToSystemPackages = mkOption {
type = types.bool;
default = false;
description = ''
Add the hermes CLI to environment.systemPackages and export
HERMES_HOME system-wide (via environment.variables) so interactive
shells share state with the gateway service.
'';
description = "Add hermes CLI to environment.systemPackages.";
};
# ── OCI Container (opt-in) ──────────────────────────────────────────
@@ -549,12 +545,8 @@
})
# ── Host CLI ──────────────────────────────────────────────────────
# Add the hermes CLI to system PATH and export HERMES_HOME system-wide
# so interactive shells share state (sessions, skills, cron) with the
# gateway service instead of creating a separate ~/.hermes/.
(lib.mkIf cfg.addToSystemPackages {
environment.systemPackages = [ cfg.package ];
environment.variables.HERMES_HOME = "${cfg.stateDir}/.hermes";
})
# ── Directories ───────────────────────────────────────────────────
@@ -569,7 +561,7 @@
# ── Activation: link config + auth + documents ────────────────────
{
system.activationScripts."hermes-agent-setup" = lib.stringAfter ([ "users" ] ++ lib.optional (config.system.activationScripts ? setupSecrets) "setupSecrets") ''
system.activationScripts."hermes-agent-setup" = lib.stringAfter [ "users" "setupSecrets" ] ''
# Ensure directories exist (activation runs before tmpfiles)
mkdir -p ${cfg.stateDir}/.hermes
mkdir -p ${cfg.stateDir}/home
@@ -609,7 +601,7 @@
# so this is the single source of truth for both native and container mode.
${lib.optionalString (cfg.environment != {} || cfg.environmentFiles != []) ''
ENV_FILE="${cfg.stateDir}/.hermes/.env"
install -o ${cfg.user} -g ${cfg.group} -m 0640 /dev/null "$ENV_FILE"
install -o ${cfg.user} -g ${cfg.group} -m 0600 /dev/null "$ENV_FILE"
cat > "$ENV_FILE" <<'HERMES_NIX_ENV_EOF'
${envFileContent}
HERMES_NIX_ENV_EOF
+1 -1
View File
@@ -14,7 +14,7 @@
};
runtimeDeps = with pkgs; [
nodejs_20 ripgrep git openssh ffmpeg tirith
nodejs_20 ripgrep git openssh ffmpeg
];
runtimePath = pkgs.lib.makeBinPath runtimeDeps;
-55
View File
@@ -6,68 +6,14 @@
uv2nix,
pyproject-nix,
pyproject-build-systems,
stdenv,
}:
let
workspace = uv2nix.lib.workspace.loadWorkspace { workspaceRoot = ./..; };
hacks = callPackage pyproject-nix.build.hacks { };
overlay = workspace.mkPyprojectOverlay {
sourcePreference = "wheel";
};
isAarch64Darwin = stdenv.hostPlatform.system == "aarch64-darwin";
# Keep the workspace locked through uv2nix, but supply the local voice stack
# from nixpkgs so wheel-only transitive artifacts do not break evaluation.
mkPrebuiltPassthru = dependencies: {
inherit dependencies;
optional-dependencies = { };
dependency-groups = { };
};
mkPrebuiltOverride = final: from: dependencies:
hacks.nixpkgsPrebuilt {
inherit from;
prev = {
nativeBuildInputs = [ final.pyprojectHook ];
passthru = mkPrebuiltPassthru dependencies;
};
};
pythonPackageOverrides = final: _prev:
if isAarch64Darwin then {
numpy = mkPrebuiltOverride final python311.pkgs.numpy { };
av = mkPrebuiltOverride final python311.pkgs.av { };
humanfriendly = mkPrebuiltOverride final python311.pkgs.humanfriendly { };
coloredlogs = mkPrebuiltOverride final python311.pkgs.coloredlogs {
humanfriendly = [ ];
};
onnxruntime = mkPrebuiltOverride final python311.pkgs.onnxruntime {
coloredlogs = [ ];
numpy = [ ];
packaging = [ ];
};
ctranslate2 = mkPrebuiltOverride final python311.pkgs.ctranslate2 {
numpy = [ ];
pyyaml = [ ];
};
faster-whisper = mkPrebuiltOverride final python311.pkgs.faster-whisper {
av = [ ];
ctranslate2 = [ ];
huggingface-hub = [ ];
onnxruntime = [ ];
tokenizers = [ ];
tqdm = [ ];
};
} else {};
pythonSet =
(callPackage pyproject-nix.build.packages {
python = python311;
@@ -75,7 +21,6 @@ let
(lib.composeManyExtensions [
pyproject-build-systems.overlays.default
overlay
pythonPackageOverrides
]);
in
pythonSet.mkVirtualEnv "hermes-agent-env" {
@@ -1803,34 +1803,30 @@ class Migrator:
def migrate_cron_jobs(self, config: Optional[Dict[str, Any]] = None) -> None:
config = config or self.load_openclaw_config()
cron = config.get("cron") or {}
if not cron:
self.record("cron-jobs", None, None, "skipped", "No cron configuration found")
return
# Archive the full cron config
if self.archive_dir and self.execute:
self.archive_dir.mkdir(parents=True, exist_ok=True)
dest = self.archive_dir / "cron-config.json"
dest.write_text(json.dumps(cron, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
self.record("cron-jobs", "openclaw.json cron.*", str(dest), "archived",
"Cron config archived. Use 'hermes cron' to recreate jobs manually.")
else:
self.record("cron-jobs", "openclaw.json cron.*", "archive/cron-config.json",
"archived", "Would archive cron config")
# Also check for cron store files
cron_store = self.source_root / "cron"
found_any = False
# Archive the full cron config when present
if cron:
found_any = True
if self.archive_dir and self.execute:
self.archive_dir.mkdir(parents=True, exist_ok=True)
dest = self.archive_dir / "cron-config.json"
dest.write_text(json.dumps(cron, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
self.record("cron-jobs", "openclaw.json cron.*", str(dest), "archived",
"Cron config archived. Use 'hermes cron' to recreate jobs manually.")
else:
self.record("cron-jobs", "openclaw.json cron.*", "archive/cron-config.json",
"archived", "Would archive cron config")
# Also check for cron store files even when config.cron is missing
if cron_store.is_dir() and self.archive_dir:
found_any = True
dest_cron = self.archive_dir / "cron-store"
if self.execute:
shutil.copytree(cron_store, dest_cron, dirs_exist_ok=True)
self.record("cron-jobs", str(cron_store), str(dest_cron), "archived",
"Cron job store archived")
if not found_any:
self.record("cron-jobs", None, None, "skipped", "No cron configuration found")
# ── Hooks ─────────────────────────────────────────────────
def migrate_hooks_config(self, config: Optional[Dict[str, Any]] = None) -> None:
config = config or self.load_openclaw_config()
@@ -2458,15 +2454,6 @@ class Migrator:
notes.append(f"- **{item.kind}**: {item.reason}")
notes.append("")
has_cron_config_archive = any(
i.kind == "cron-jobs" and i.status == "archived" and i.destination and i.destination.endswith("cron-config.json")
for i in self.items
)
has_cron_store_archive = any(
i.kind == "cron-jobs" and i.status == "archived" and i.destination and i.destination.endswith("cron-store")
for i in self.items
)
notes.extend([
"## IMPORTANT: Archive the OpenClaw Directory",
"",
@@ -2488,14 +2475,7 @@ class Migrator:
"- Run `hermes claw cleanup` to archive the OpenClaw directory (prevents state confusion)",
"- Run `hermes setup` to configure any remaining settings",
"- Run `hermes mcp list` to verify MCP servers were imported correctly",
])
if has_cron_config_archive:
notes.append("- Run `hermes cron` to recreate scheduled tasks (see archive/cron-config.json)")
elif has_cron_store_archive:
notes.append("- Run `hermes cron` to recreate scheduled tasks (see archived cron-store)")
notes.extend([
"- Run `hermes cron` to recreate scheduled tasks (see archive/cron-config.json)",
"- Run `hermes gateway install` if you need the gateway service",
"- Review `~/.hermes/config.yaml` for any adjustments",
"",
+19 -55
View File
@@ -1,12 +1,11 @@
# Hindsight Memory Provider
Long-term memory with knowledge graph, entity resolution, and multi-strategy retrieval. Supports cloud, local embedded, and local external modes.
Long-term memory with knowledge graph, entity resolution, and multi-strategy retrieval. Supports cloud and local (embedded) modes.
## Requirements
- **Cloud:** API key from [ui.hindsight.vectorize.io](https://ui.hindsight.vectorize.io)
- **Local Embedded:** API key for a supported LLM provider (OpenAI, Anthropic, Gemini, Groq, OpenRouter, MiniMax, Ollama, or any OpenAI-compatible endpoint). Embeddings and reranking run locally — no additional API keys needed.
- **Local External:** A running Hindsight instance (Docker or self-hosted) reachable over HTTP.
- **Local:** API key for a supported LLM provider (OpenAI, Anthropic, Gemini, Groq, MiniMax, or Ollama). Embeddings and reranking run locally — no additional API keys needed.
## Setup
@@ -22,28 +21,17 @@ hermes config set memory.provider hindsight
echo "HINDSIGHT_API_KEY=your-key" >> ~/.hermes/.env
```
### Cloud
### Cloud Mode
Connects to the Hindsight Cloud API. Requires an API key from [ui.hindsight.vectorize.io](https://ui.hindsight.vectorize.io).
### Local Embedded
### Local Mode
Hermes spins up a local Hindsight daemon with built-in PostgreSQL. Requires an LLM API key for memory extraction and synthesis. The daemon starts automatically in the background on first use and stops after 5 minutes of inactivity.
Supports any OpenAI-compatible LLM endpoint (llama.cpp, vLLM, LM Studio, etc.) — pick `openai_compatible` as the provider and enter the base URL.
Runs an embedded Hindsight server with built-in PostgreSQL. Requires an LLM API key (e.g. Groq, OpenAI, Anthropic) for memory extraction and synthesis. The daemon starts automatically in the background on first use and stops after 5 minutes of inactivity.
Daemon startup logs: `~/.hermes/logs/hindsight-embed.log`
Daemon runtime logs: `~/.hindsight/profiles/<profile>.log`
To open the Hindsight web UI (local embedded mode only):
```bash
hindsight-embed -p hermes ui start
```
### Local External
Points the plugin at an existing Hindsight instance you're already running (Docker, self-hosted, etc.). No daemon management — just a URL and an optional API key.
## Config
Config file: `~/.hermes/hindsight/config.json`
@@ -52,58 +40,39 @@ Config file: `~/.hermes/hindsight/config.json`
| Key | Default | Description |
|-----|---------|-------------|
| `mode` | `cloud` | `cloud`, `local_embedded`, or `local_external` |
| `api_url` | `https://api.hindsight.vectorize.io` | API URL (cloud and local_external modes) |
| `mode` | `cloud` | `cloud` or `local` |
| `api_url` | `https://api.hindsight.vectorize.io` | API URL (cloud mode) |
| `api_url` | `http://localhost:8888` | API URL (local mode, unused — daemon manages its own port) |
### Memory Bank
### Memory
| Key | Default | Description |
|-----|---------|-------------|
| `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. |
### Recall
| Key | Default | Description |
|-----|---------|-------------|
| `recall_budget` | `mid` | Recall thoroughness: `low` / `mid` / `high` |
| `recall_prefetch_method` | `recall` | Auto-recall method: `recall` (raw facts) or `reflect` (LLM synthesis) |
| `recall_max_tokens` | `4096` | Maximum tokens for recall results |
| `recall_max_input_chars` | `800` | Maximum input query length for auto-recall |
| `recall_prompt_preamble` | — | Custom preamble for recalled memories in context |
| `recall_tags` | — | Tags to filter when searching memories |
| `recall_tags_match` | `any` | Tag matching mode: `any` / `all` / `any_strict` / `all_strict` |
| `auto_recall` | `true` | Automatically recall memories before each turn |
### Retain
| Key | Default | Description |
|-----|---------|-------------|
| `auto_retain` | `true` | Automatically retain conversation turns |
| `retain_async` | `true` | Process retain asynchronously on the Hindsight server |
| `retain_every_n_turns` | `1` | Retain every N turns (1 = every turn) |
| `retain_context` | `conversation between Hermes Agent and the User` | Context label for retained memories |
| `tags` | — | Tags applied when storing memories |
| `budget` | `mid` | Recall thoroughness: `low` / `mid` / `high` |
### Integration
| Key | Default | Description |
|-----|---------|-------------|
| `memory_mode` | `hybrid` | How memories are integrated into the agent |
| `prefetch_method` | `recall` | Method for automatic context injection |
**memory_mode:**
- `hybrid` — automatic context injection + tools available to the LLM
- `context` — automatic injection only, no tools exposed
- `tools` — tools only, no automatic injection
### Local Embedded LLM
**prefetch_method:**
- `recall` — injects raw memory facts (fast)
- `reflect` — injects LLM-synthesized summary (slower, more coherent)
### Local Mode LLM
| Key | Default | Description |
|-----|---------|-------------|
| `llm_provider` | `openai` | `openai`, `anthropic`, `gemini`, `groq`, `openrouter`, `minimax`, `ollama`, `lmstudio`, `openai_compatible` |
| `llm_model` | per-provider | Model name (e.g. `gpt-4o-mini`, `qwen/qwen3.5-9b`) |
| `llm_base_url` | — | Endpoint URL for `openai_compatible` (e.g. `http://192.168.1.10:8080/v1`) |
| `llm_provider` | `openai` | LLM provider: `openai`, `anthropic`, `gemini`, `groq`, `minimax`, `ollama` |
| `llm_model` | per-provider | Model name (e.g. `gpt-4o-mini`, `openai/gpt-oss-120b`) |
The LLM API key is stored in `~/.hermes/.env` as `HINDSIGHT_LLM_API_KEY`.
@@ -123,12 +92,7 @@ Available in `hybrid` and `tools` memory modes:
|----------|-------------|
| `HINDSIGHT_API_KEY` | API key for Hindsight Cloud |
| `HINDSIGHT_LLM_API_KEY` | LLM API key for local mode |
| `HINDSIGHT_API_LLM_BASE_URL` | LLM Base URL for local mode (e.g. OpenRouter) |
| `HINDSIGHT_API_URL` | Override API endpoint |
| `HINDSIGHT_BANK_ID` | Override bank name |
| `HINDSIGHT_BUDGET` | Override recall budget |
| `HINDSIGHT_MODE` | Override mode (`cloud`, `local_embedded`, `local_external`) |
## Client Version
Requires `hindsight-client >= 0.4.22`. The plugin auto-upgrades on session start if an older version is detected.
| `HINDSIGHT_MODE` | Override mode (`cloud` / `local`) |
+47 -415
View File
@@ -23,30 +23,24 @@ import json
import logging
import os
import threading
from hermes_constants import get_hermes_home
from typing import Any, Dict, List
from agent.memory_provider import MemoryProvider
from hermes_constants import get_hermes_home
from tools.registry import tool_error
logger = logging.getLogger(__name__)
_DEFAULT_API_URL = "https://api.hindsight.vectorize.io"
_DEFAULT_LOCAL_URL = "http://localhost:8888"
_MIN_CLIENT_VERSION = "0.4.22"
_VALID_BUDGETS = {"low", "mid", "high"}
_PROVIDER_DEFAULT_MODELS = {
"openai": "gpt-4o-mini",
"anthropic": "claude-haiku-4-5",
"gemini": "gemini-2.5-flash",
"groq": "openai/gpt-oss-120b",
"openrouter": "qwen/qwen3.5-9b",
"minimax": "MiniMax-M2.7",
"ollama": "gemma3:12b",
"lmstudio": "local-model",
"openai_compatible": "your-model-name",
}
@@ -148,6 +142,7 @@ def _load_config() -> dict:
3. Environment variables
"""
from pathlib import Path
from hermes_constants import get_hermes_home
# Profile-scoped path (preferred)
profile_path = get_hermes_home() / "hindsight" / "config.json"
@@ -192,7 +187,6 @@ class HindsightMemoryProvider(MemoryProvider):
self._bank_id = "hermes"
self._budget = "mid"
self._mode = "cloud"
self._llm_base_url = ""
self._memory_mode = "hybrid" # "context", "tools", or "hybrid"
self._prefetch_method = "recall" # "recall" or "reflect"
self._client = None
@@ -200,31 +194,6 @@ class HindsightMemoryProvider(MemoryProvider):
self._prefetch_lock = threading.Lock()
self._prefetch_thread = None
self._sync_thread = None
self._session_id = ""
# Tags
self._tags: list[str] | None = None
self._recall_tags: list[str] | None = None
self._recall_tags_match = "any"
# Retain controls
self._auto_retain = True
self._retain_every_n_turns = 1
self._retain_context = "conversation between Hermes Agent and the User"
self._turn_counter = 0
self._session_turns: list[str] = [] # accumulates ALL turns for the session
# Recall controls
self._auto_recall = True
self._recall_max_tokens = 4096
self._recall_types: list[str] | None = None
self._recall_prompt_preamble = ""
self._recall_max_input_chars = 800
# Bank
self._bank_mission = ""
self._bank_retain_mission: str | None = None
self._retain_async = True
@property
def name(self) -> str:
@@ -234,7 +203,7 @@ class HindsightMemoryProvider(MemoryProvider):
try:
cfg = _load_config()
mode = cfg.get("mode", "cloud")
if mode in ("local", "local_embedded", "local_external"):
if mode == "local":
return True
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", ""))
@@ -258,306 +227,68 @@ class HindsightMemoryProvider(MemoryProvider):
existing.update(values)
config_path.write_text(json.dumps(existing, indent=2))
def post_setup(self, hermes_home: str, config: dict) -> None:
"""Custom setup wizard — installs only the deps needed for the selected mode."""
import getpass
import subprocess
import shutil
import sys
from pathlib import Path
from hermes_cli.config import save_config
from hermes_cli.memory_setup import _curses_select
print("\n Configuring Hindsight memory:\n")
# Step 1: Mode selection
mode_items = [
("Cloud", "Hindsight Cloud API (lightweight, just needs an API key)"),
("Local Embedded", "Run Hindsight locally (downloads ~200MB, needs LLM key)"),
("Local External", "Connect to an existing Hindsight instance"),
]
mode_idx = _curses_select(" Select mode", mode_items, default=0)
mode = ["cloud", "local_embedded", "local_external"][mode_idx]
provider_config: dict = {"mode": mode}
env_writes: dict = {}
# Step 2: Install/upgrade deps for selected mode
_MIN_CLIENT_VERSION = "0.4.22"
cloud_dep = f"hindsight-client>={_MIN_CLIENT_VERSION}"
local_dep = "hindsight-all"
if mode == "local_embedded":
deps_to_install = [local_dep]
elif mode == "local_external":
deps_to_install = [cloud_dep]
else:
deps_to_install = [cloud_dep]
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")
print(f" Then run manually: uv pip install --python {sys.executable} {' '.join(deps_to_install)}")
else:
try:
subprocess.run(
[uv_path, "pip", "install", "--python", sys.executable, "--quiet", "--upgrade"] + deps_to_install,
check=True, timeout=120, capture_output=True,
)
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(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"
sys.stdout.write(f" API key (current: {masked}, blank to keep): ")
sys.stdout.flush()
api_key = getpass.getpass(prompt="") if sys.stdin.isatty() else sys.stdin.readline().strip()
else:
sys.stdout.write(" API key: ")
sys.stdout.flush()
api_key = getpass.getpass(prompt="") if sys.stdin.isatty() else sys.stdin.readline().strip()
if api_key:
env_writes["HINDSIGHT_API_KEY"] = api_key
val = input(f" API URL [{_DEFAULT_API_URL}]: ").strip()
if val:
provider_config["api_url"] = val
elif mode == "local_external":
val = input(f" Hindsight API URL [{_DEFAULT_LOCAL_URL}]: ").strip()
provider_config["api_url"] = val or _DEFAULT_LOCAL_URL
sys.stdout.write(" API key (optional, blank to skip): ")
sys.stdout.flush()
api_key = getpass.getpass(prompt="") if sys.stdin.isatty() else sys.stdin.readline().strip()
if api_key:
env_writes["HINDSIGHT_API_KEY"] = api_key
else: # local_embedded
providers_list = list(_PROVIDER_DEFAULT_MODELS.keys())
llm_items = [
(p, f"default model: {_PROVIDER_DEFAULT_MODELS[p]}")
for p in providers_list
]
llm_idx = _curses_select(" Select LLM provider", llm_items, default=0)
llm_provider = providers_list[llm_idx]
provider_config["llm_provider"] = llm_provider
if llm_provider == "openai_compatible":
val = input(" LLM endpoint URL (e.g. http://192.168.1.10:8080/v1): ").strip()
if val:
provider_config["llm_base_url"] = val
elif llm_provider == "openrouter":
provider_config["llm_base_url"] = "https://openrouter.ai/api/v1"
default_model = _PROVIDER_DEFAULT_MODELS.get(llm_provider, "gpt-4o-mini")
val = input(f" LLM model [{default_model}]: ").strip()
provider_config["llm_model"] = val or default_model
sys.stdout.write(" LLM API key: ")
sys.stdout.flush()
llm_key = getpass.getpass(prompt="") if sys.stdin.isatty() else sys.stdin.readline().strip()
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"
bank_id = "hermes"
config["memory"]["provider"] = "hindsight"
save_config(config)
self.save_config(provider_config, hermes_home)
if env_writes:
env_path = Path(hermes_home) / ".env"
env_path.parent.mkdir(parents=True, exist_ok=True)
existing_lines = []
if env_path.exists():
existing_lines = env_path.read_text().splitlines()
updated_keys = set()
new_lines = []
for line in existing_lines:
key_match = line.split("=", 1)[0].strip() if "=" in line and not line.startswith("#") else None
if key_match and key_match in env_writes:
new_lines.append(f"{key_match}={env_writes[key_match]}")
updated_keys.add(key_match)
else:
new_lines.append(line)
for k, v in env_writes.items():
if k not in updated_keys:
new_lines.append(f"{k}={v}")
env_path.write_text("\n".join(new_lines) + "\n")
print(f"\n ✓ Hindsight memory configured ({mode} mode)")
if env_writes:
print(f" API keys saved to .env")
print(f"\n Start a new session to activate.\n")
def get_config_schema(self):
return [
{"key": "mode", "description": "Connection mode", "default": "cloud", "choices": ["cloud", "local_embedded", "local_external"]},
# Cloud mode
{"key": "api_url", "description": "Hindsight Cloud API URL", "default": _DEFAULT_API_URL, "when": {"mode": "cloud"}},
{"key": "mode", "description": "Cloud API or local embedded mode", "default": "cloud", "choices": ["cloud", "local"]},
{"key": "api_url", "description": "Hindsight API URL", "default": _DEFAULT_API_URL, "when": {"mode": "cloud"}},
{"key": "api_key", "description": "Hindsight Cloud API key", "secret": True, "env_var": "HINDSIGHT_API_KEY", "url": "https://ui.hindsight.vectorize.io", "when": {"mode": "cloud"}},
# Local external mode
{"key": "api_url", "description": "Hindsight API URL", "default": _DEFAULT_LOCAL_URL, "when": {"mode": "local_external"}},
{"key": "api_key", "description": "API key (optional)", "secret": True, "env_var": "HINDSIGHT_API_KEY", "when": {"mode": "local_external"}},
# Local embedded mode
{"key": "llm_provider", "description": "LLM provider", "default": "openai", "choices": ["openai", "anthropic", "gemini", "groq", "openrouter", "minimax", "ollama", "lmstudio", "openai_compatible"], "when": {"mode": "local_embedded"}},
{"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": "llm_provider", "description": "LLM provider for local mode", "default": "openai", "choices": ["openai", "anthropic", "gemini", "groq", "minimax", "ollama"], "when": {"mode": "local"}},
{"key": "llm_api_key", "description": "LLM API key for local Hindsight", "secret": True, "env_var": "HINDSIGHT_LLM_API_KEY", "when": {"mode": "local"}},
{"key": "llm_model", "description": "LLM model for local mode", "default": "gpt-4o-mini", "default_from": {"field": "llm_provider", "map": _PROVIDER_DEFAULT_MODELS}, "when": {"mode": "local"}},
{"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"]},
{"key": "budget", "description": "Recall thoroughness", "default": "mid", "choices": ["low", "mid", "high"]},
{"key": "memory_mode", "description": "Memory integration mode", "default": "hybrid", "choices": ["hybrid", "context", "tools"]},
{"key": "recall_prefetch_method", "description": "Auto-recall method", "default": "recall", "choices": ["recall", "reflect"]},
{"key": "tags", "description": "Tags applied when storing memories (comma-separated)", "default": ""},
{"key": "recall_tags", "description": "Tags to filter when searching memories (comma-separated)", "default": ""},
{"key": "recall_tags_match", "description": "Tag matching mode for recall", "default": "any", "choices": ["any", "all", "any_strict", "all_strict"]},
{"key": "auto_recall", "description": "Automatically recall memories before each turn", "default": True},
{"key": "auto_retain", "description": "Automatically retain conversation turns", "default": True},
{"key": "retain_every_n_turns", "description": "Retain every N turns (1 = every turn)", "default": 1},
{"key": "retain_async","description": "Process retain asynchronously on the Hindsight server", "default": True},
{"key": "retain_context", "description": "Context label for retained memories", "default": "conversation between Hermes Agent and the User"},
{"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": "prefetch_method", "description": "Auto-recall method", "default": "recall", "choices": ["recall", "reflect"]},
]
def _get_client(self):
"""Return the cached Hindsight client (created once, reused)."""
if self._client is None:
if self._mode == "local_embedded":
if self._mode == "local":
from hindsight import HindsightEmbedded
# Disable __del__ on the class to prevent "attached to a
# different loop" errors during GC — we handle cleanup in
# shutdown() instead.
HindsightEmbedded.__del__ = lambda self: None
llm_provider = self._config.get("llm_provider", "")
if llm_provider in ("openai_compatible", "openrouter"):
llm_provider = "openai"
logger.debug("Creating HindsightEmbedded client (profile=%s, provider=%s)",
self._config.get("profile", "hermes"), llm_provider)
kwargs = dict(
self._client = HindsightEmbedded(
profile=self._config.get("profile", "hermes"),
llm_provider=llm_provider,
llm_api_key=self._config.get("llmApiKey") or self._config.get("llm_api_key") or os.environ.get("HINDSIGHT_LLM_API_KEY", ""),
llm_provider=self._config.get("llm_provider", ""),
llm_api_key=self._config.get("llmApiKey") or os.environ.get("HINDSIGHT_LLM_API_KEY", ""),
llm_model=self._config.get("llm_model", ""),
)
if self._llm_base_url:
kwargs["llm_base_url"] = self._llm_base_url
self._client = HindsightEmbedded(**kwargs)
else:
from hindsight_client import Hindsight
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)",
self._api_url, bool(self._api_key))
self._client = Hindsight(**kwargs)
return self._client
def initialize(self, session_id: str, **kwargs) -> None:
self._session_id = session_id
# Check client version and auto-upgrade if needed
try:
from importlib.metadata import version as pkg_version
from packaging.version import Version
installed = pkg_version("hindsight-client")
if Version(installed) < Version(_MIN_CLIENT_VERSION):
logger.warning("hindsight-client %s is outdated (need >=%s), attempting upgrade...",
installed, _MIN_CLIENT_VERSION)
import shutil, subprocess, sys
uv_path = shutil.which("uv")
if uv_path:
try:
subprocess.run(
[uv_path, "pip", "install", "--python", sys.executable,
"--quiet", "--upgrade", f"hindsight-client>={_MIN_CLIENT_VERSION}"],
check=True, timeout=120, capture_output=True,
)
logger.info("hindsight-client upgraded to >=%s", _MIN_CLIENT_VERSION)
except Exception as e:
logger.warning("Auto-upgrade failed: %s. Run: uv pip install 'hindsight-client>=%s'",
e, _MIN_CLIENT_VERSION)
else:
logger.warning("uv not found. Run: pip install 'hindsight-client>=%s'", _MIN_CLIENT_VERSION)
except Exception:
pass # packaging not available or other issue — proceed anyway
self._config = _load_config()
self._mode = self._config.get("mode", "cloud")
# "local" is a legacy alias for "local_embedded"
if self._mode == "local":
self._mode = "local_embedded"
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_key = self._config.get("apiKey") or os.environ.get("HINDSIGHT_API_KEY", "")
default_url = _DEFAULT_LOCAL_URL if self._mode == "local" 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", {})
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")
budget = self._config.get("budget") or banks.get("budget", "mid")
self._budget = budget if budget in _VALID_BUDGETS else "mid"
memory_mode = self._config.get("memory_mode", "hybrid")
self._memory_mode = memory_mode if memory_mode in ("context", "tools", "hybrid") else "hybrid"
prefetch_method = self._config.get("recall_prefetch_method", "recall")
prefetch_method = self._config.get("prefetch_method", "recall")
self._prefetch_method = prefetch_method if prefetch_method in ("recall", "reflect") else "recall"
# Bank options
self._bank_mission = self._config.get("bank_mission", "")
self._bank_retain_mission = self._config.get("bank_retain_mission") or None
# Tags
self._tags = self._config.get("tags") or None
self._recall_tags = self._config.get("recall_tags") or None
self._recall_tags_match = self._config.get("recall_tags_match", "any")
# Retain controls
self._auto_retain = self._config.get("auto_retain", True)
self._retain_every_n_turns = max(1, int(self._config.get("retain_every_n_turns", 1)))
self._retain_context = self._config.get("retain_context", "conversation between Hermes Agent and the User")
# Recall controls
self._auto_recall = self._config.get("auto_recall", True)
self._recall_max_tokens = int(self._config.get("recall_max_tokens", 4096))
self._recall_types = self._config.get("recall_types") or None
self._recall_prompt_preamble = self._config.get("recall_prompt_preamble", "")
self._recall_max_input_chars = int(self._config.get("recall_max_input_chars", 800))
self._retain_async = self._config.get("retain_async", True)
_client_version = "unknown"
try:
from importlib.metadata import version as pkg_version
_client_version = pkg_version("hindsight-client")
except Exception:
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)
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,
self._retain_async, self._retain_context,
self._recall_max_tokens, self._recall_max_input_chars,
self._tags, self._recall_tags)
logger.info("Hindsight initialized: mode=%s, api_url=%s, bank=%s, budget=%s, memory_mode=%s, prefetch_method=%s",
self._mode, self._api_url, self._bank_id, self._budget, self._memory_mode, self._prefetch_method)
# For local mode, start the embedded daemon in the background so it
# doesn't block the chat. Redirect stdout/stderr to a log file to
# prevent rich startup output from spamming the terminal.
if self._mode == "local_embedded":
if self._mode == "local":
def _start_daemon():
import traceback
log_dir = get_hermes_home() / "logs"
@@ -579,12 +310,9 @@ class HindsightMemoryProvider(MemoryProvider):
# If the config changed and the daemon is running, stop it.
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_key = self._config.get("llmApiKey") 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 = {}
@@ -595,24 +323,20 @@ class HindsightMemoryProvider(MemoryProvider):
saved[k.strip()] = v.strip()
config_changed = (
saved.get("HINDSIGHT_API_LLM_PROVIDER") != daemon_provider or
saved.get("HINDSIGHT_API_LLM_PROVIDER") != current_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
saved.get("HINDSIGHT_API_LLM_API_KEY") != current_key
)
if config_changed:
# Write updated profile .env
profile_env.parent.mkdir(parents=True, exist_ok=True)
env_lines = (
f"HINDSIGHT_API_LLM_PROVIDER={daemon_provider}\n"
profile_env.write_text(
f"HINDSIGHT_API_LLM_PROVIDER={current_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")
@@ -653,118 +377,47 @@ class HindsightMemoryProvider(MemoryProvider):
def prefetch(self, query: str, *, session_id: str = "") -> str:
if self._prefetch_thread and self._prefetch_thread.is_alive():
logger.debug("Prefetch: waiting for background thread to complete")
self._prefetch_thread.join(timeout=3.0)
with self._prefetch_lock:
result = self._prefetch_result
self._prefetch_result = ""
if not result:
logger.debug("Prefetch: no results available")
return ""
logger.debug("Prefetch: returning %d chars of context", len(result))
header = self._recall_prompt_preamble or (
"# Hindsight Memory (persistent cross-session context)\n"
"Use this to answer questions about the user and prior sessions. "
"Do not call tools to look up information that is already present here."
)
return f"{header}\n\n{result}"
return f"## Hindsight Memory\n{result}"
def queue_prefetch(self, query: str, *, session_id: str = "") -> None:
if self._memory_mode == "tools":
logger.debug("Prefetch: skipped (tools-only mode)")
return
if not self._auto_recall:
logger.debug("Prefetch: skipped (auto_recall disabled)")
return
# Truncate query to max chars
if self._recall_max_input_chars and len(query) > self._recall_max_input_chars:
query = query[:self._recall_max_input_chars]
def _run():
try:
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 = _run_sync(client.areflect(bank_id=self._bank_id, query=query, budget=self._budget))
text = resp.text or ""
else:
recall_kwargs: dict = {
"bank_id": self._bank_id, "query": query,
"budget": self._budget, "max_tokens": self._recall_max_tokens,
}
if self._recall_tags:
recall_kwargs["tags"] = self._recall_tags
recall_kwargs["tags_match"] = self._recall_tags_match
if self._recall_types:
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 = _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 ""
resp = _run_sync(client.arecall(bank_id=self._bank_id, query=query, budget=self._budget))
text = "\n".join(r.text for r in resp.results if r.text) if resp.results else ""
if text:
with self._prefetch_lock:
self._prefetch_result = text
except Exception as e:
logger.debug("Hindsight prefetch failed: %s", e, exc_info=True)
logger.debug("Hindsight prefetch failed: %s", e)
self._prefetch_thread = threading.Thread(target=_run, daemon=True, name="hindsight-prefetch")
self._prefetch_thread.start()
def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
"""Retain conversation turn in background (non-blocking).
Respects retain_every_n_turns for batching.
"""
if not self._auto_retain:
logger.debug("sync_turn: skipped (auto_retain disabled)")
return
from datetime import datetime, timezone
now = datetime.now(timezone.utc).isoformat()
messages = [
{"role": "user", "content": user_content, "timestamp": now},
{"role": "assistant", "content": assistant_content, "timestamp": now},
]
turn = json.dumps(messages)
self._session_turns.append(turn)
self._turn_counter += 1
# Only retain every N turns
if self._turn_counter % self._retain_every_n_turns != 0:
logger.debug("sync_turn: buffered turn %d (will retain at turn %d)",
self._turn_counter, self._turn_counter + (self._retain_every_n_turns - self._turn_counter % self._retain_every_n_turns))
return
logger.debug("sync_turn: retaining %d turns, total session content %d chars",
len(self._session_turns), sum(len(t) for t in self._session_turns))
# Send the ENTIRE session as a single JSON array (document_id deduplicates).
# Each element in _session_turns is a JSON string of that turn's messages.
content = "[" + ",".join(self._session_turns) + "]"
"""Retain conversation turn in background (non-blocking)."""
combined = f"User: {user_content}\nAssistant: {assistant_content}"
def _sync():
try:
client = self._get_client()
item: dict = {
"content": content,
"context": self._retain_context,
}
if self._tags:
item["tags"] = self._tags
logger.debug("Hindsight retain: bank=%s, doc=%s, async=%s, content_len=%d, num_turns=%d",
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._session_id,
retain_async=self._retain_async,
_run_sync(client.aretain(
bank_id=self._bank_id, content=combined, context="conversation"
))
logger.debug("Hindsight retain succeeded")
except Exception as e:
logger.warning("Hindsight sync failed: %s", e, exc_info=True)
logger.warning("Hindsight sync failed: %s", e)
if self._sync_thread and self._sync_thread.is_alive():
self._sync_thread.join(timeout=5.0)
@@ -789,18 +442,12 @@ class HindsightMemoryProvider(MemoryProvider):
return tool_error("Missing required parameter: content")
context = args.get("context")
try:
retain_kwargs: dict = {
"bank_id": self._bank_id, "content": content, "context": context,
}
if self._tags:
retain_kwargs["tags"] = self._tags
logger.debug("Tool hindsight_retain: bank=%s, content_len=%d, context=%s",
self._bank_id, len(content), context)
_run_sync(client.aretain(**retain_kwargs))
logger.debug("Tool hindsight_retain: success")
_run_sync(client.aretain(
bank_id=self._bank_id, content=content, context=context
))
return json.dumps({"result": "Memory stored successfully."})
except Exception as e:
logger.warning("hindsight_retain failed: %s", e, exc_info=True)
logger.warning("hindsight_retain failed: %s", e)
return tool_error(f"Failed to store memory: {e}")
elif tool_name == "hindsight_recall":
@@ -808,26 +455,15 @@ class HindsightMemoryProvider(MemoryProvider):
if not query:
return tool_error("Missing required parameter: query")
try:
recall_kwargs: dict = {
"bank_id": self._bank_id, "query": query, "budget": self._budget,
"max_tokens": self._recall_max_tokens,
}
if self._recall_tags:
recall_kwargs["tags"] = self._recall_tags
recall_kwargs["tags_match"] = self._recall_tags_match
if self._recall_types:
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 = _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)
resp = _run_sync(client.arecall(
bank_id=self._bank_id, query=query, budget=self._budget
))
if not resp.results:
return json.dumps({"result": "No relevant memories found."})
lines = [f"{i}. {r.text}" for i, r in enumerate(resp.results, 1)]
return json.dumps({"result": "\n".join(lines)})
except Exception as e:
logger.warning("hindsight_recall failed: %s", e, exc_info=True)
logger.warning("hindsight_recall failed: %s", e)
return tool_error(f"Failed to search memory: {e}")
elif tool_name == "hindsight_reflect":
@@ -835,28 +471,24 @@ class HindsightMemoryProvider(MemoryProvider):
if not query:
return tool_error("Missing required parameter: query")
try:
logger.debug("Tool hindsight_reflect: bank=%s, query_len=%d, budget=%s",
self._bank_id, len(query), self._budget)
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 ""))
return json.dumps({"result": resp.text or "No relevant memories found."})
except Exception as e:
logger.warning("hindsight_reflect failed: %s", e, exc_info=True)
logger.warning("hindsight_reflect failed: %s", e)
return tool_error(f"Failed to reflect: {e}")
return tool_error(f"Unknown tool: {tool_name}")
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)
if self._client is not None:
try:
if self._mode == "local_embedded":
if self._mode == "local":
# Use the public close() API. The RuntimeError from
# aiohttp's "attached to a different loop" is expected
# and harmless — the daemon keeps running independently.
+4 -2
View File
@@ -2,7 +2,9 @@ name: hindsight
version: 1.0.0
description: "Hindsight — long-term memory with knowledge graph, entity resolution, and multi-strategy retrieval."
pip_dependencies:
- "hindsight-client>=0.4.22"
requires_env: []
- hindsight-client
- hindsight-all
requires_env:
- HINDSIGHT_API_KEY
hooks:
- on_session_end
+2 -47
View File
@@ -17,7 +17,7 @@ Or manually:
```bash
hermes config set memory.provider supermemory
echo 'SUPERMEMORY_API_KEY=***' >> ~/.hermes/.env
echo 'SUPERMEMORY_API_KEY=your-key-here' >> ~/.hermes/.env
```
## Config
@@ -26,23 +26,15 @@ Config file: `$HERMES_HOME/supermemory.json`
| Key | Default | Description |
|-----|---------|-------------|
| `container_tag` | `hermes` | Container tag used for search and writes. Supports `{identity}` template for profile-scoped tags (e.g. `hermes-{identity}``hermes-coder`). |
| `container_tag` | `hermes` | Container tag used for search and writes |
| `auto_recall` | `true` | Inject relevant memory context before turns |
| `auto_capture` | `true` | Store cleaned user-assistant turns after each response |
| `max_recall_results` | `10` | Max recalled items to format into context |
| `profile_frequency` | `50` | Include profile facts on first turn and every N turns |
| `capture_mode` | `all` | Skip tiny or trivial turns by default |
| `search_mode` | `hybrid` | Search mode: `hybrid` (profile + memories), `memories` (memories only), `documents` (documents only) |
| `entity_context` | built-in default | Extraction guidance passed to Supermemory |
| `api_timeout` | `5.0` | Timeout for SDK and ingest requests |
### Environment Variables
| Variable | Description |
|----------|-------------|
| `SUPERMEMORY_API_KEY` | API key (required) |
| `SUPERMEMORY_CONTAINER_TAG` | Override container tag (takes priority over config file) |
## Tools
| Tool | Description |
@@ -60,40 +52,3 @@ When enabled, Hermes can:
- store cleaned conversation turns after each completed response
- ingest the full session on session end for richer graph updates
- expose explicit tools for search, store, forget, and profile access
## Profile-Scoped Containers
Use `{identity}` in the `container_tag` to scope memories per Hermes profile:
```json
{
"container_tag": "hermes-{identity}"
}
```
For a profile named `coder`, this resolves to `hermes-coder`. The default profile resolves to `hermes-default`. Without `{identity}`, all profiles share the same container.
## Multi-Container Mode
For advanced setups (e.g. OpenClaw-style multi-workspace), you can enable custom container tags so the agent can read/write across multiple named containers:
```json
{
"container_tag": "hermes",
"enable_custom_container_tags": true,
"custom_containers": ["project-alpha", "project-beta", "shared-knowledge"],
"custom_container_instructions": "Use project-alpha for coding tasks, project-beta for research, and shared-knowledge for team-wide facts."
}
```
When enabled:
- `supermemory_search`, `supermemory_store`, `supermemory_forget`, and `supermemory_profile` accept an optional `container_tag` parameter
- The tag must be in the whitelist: primary container + `custom_containers`
- Automatic operations (turn sync, prefetch, memory write mirroring, session ingest) always use the **primary** container only
- Custom container instructions are injected into the system prompt
## Support
- [Supermemory Discord](https://supermemory.link/discord)
- [support@supermemory.com](mailto:support@supermemory.com)
- [supermemory.ai](https://supermemory.ai)
+39 -158
View File
@@ -26,8 +26,6 @@ _DEFAULT_CONTAINER_TAG = "hermes"
_DEFAULT_MAX_RECALL_RESULTS = 10
_DEFAULT_PROFILE_FREQUENCY = 50
_DEFAULT_CAPTURE_MODE = "all"
_DEFAULT_SEARCH_MODE = "hybrid"
_VALID_SEARCH_MODES = ("hybrid", "memories", "documents")
_DEFAULT_API_TIMEOUT = 5.0
_MIN_CAPTURE_LENGTH = 10
_MAX_ENTITY_CONTEXT_LENGTH = 1500
@@ -61,12 +59,8 @@ def _default_config() -> dict:
"max_recall_results": _DEFAULT_MAX_RECALL_RESULTS,
"profile_frequency": _DEFAULT_PROFILE_FREQUENCY,
"capture_mode": _DEFAULT_CAPTURE_MODE,
"search_mode": _DEFAULT_SEARCH_MODE,
"entity_context": _DEFAULT_ENTITY_CONTEXT,
"api_timeout": _DEFAULT_API_TIMEOUT,
"enable_custom_container_tags": False,
"custom_containers": [],
"custom_container_instructions": "",
}
@@ -106,10 +100,7 @@ def _load_supermemory_config(hermes_home: str) -> dict:
except Exception:
logger.debug("Failed to parse %s", config_path, exc_info=True)
# Keep raw container_tag — template variables like {identity} are resolved
# in initialize(), and _sanitize_tag runs AFTER resolution.
raw_tag = str(config.get("container_tag", _DEFAULT_CONTAINER_TAG)).strip()
config["container_tag"] = raw_tag if raw_tag else _DEFAULT_CONTAINER_TAG
config["container_tag"] = _sanitize_tag(str(config.get("container_tag", _DEFAULT_CONTAINER_TAG)))
config["auto_recall"] = _as_bool(config.get("auto_recall"), True)
config["auto_capture"] = _as_bool(config.get("auto_capture"), True)
try:
@@ -121,23 +112,11 @@ def _load_supermemory_config(hermes_home: str) -> dict:
except Exception:
config["profile_frequency"] = _DEFAULT_PROFILE_FREQUENCY
config["capture_mode"] = "everything" if config.get("capture_mode") == "everything" else "all"
raw_search_mode = str(config.get("search_mode", _DEFAULT_SEARCH_MODE)).strip().lower()
config["search_mode"] = raw_search_mode if raw_search_mode in _VALID_SEARCH_MODES else _DEFAULT_SEARCH_MODE
config["entity_context"] = _clamp_entity_context(str(config.get("entity_context", _DEFAULT_ENTITY_CONTEXT)))
try:
config["api_timeout"] = max(0.5, min(15.0, float(config.get("api_timeout", _DEFAULT_API_TIMEOUT))))
except Exception:
config["api_timeout"] = _DEFAULT_API_TIMEOUT
# Multi-container support
config["enable_custom_container_tags"] = _as_bool(config.get("enable_custom_container_tags"), False)
raw_containers = config.get("custom_containers", [])
if isinstance(raw_containers, list):
config["custom_containers"] = [_sanitize_tag(str(t)) for t in raw_containers if t]
else:
config["custom_containers"] = []
config["custom_container_instructions"] = str(config.get("custom_container_instructions", "")).strip()
return config
@@ -261,41 +240,28 @@ def _is_trivial_message(text: str) -> bool:
class _SupermemoryClient:
def __init__(self, api_key: str, timeout: float, container_tag: str, search_mode: str = "hybrid"):
def __init__(self, api_key: str, timeout: float, container_tag: str):
from supermemory import Supermemory
self._api_key = api_key
self._container_tag = container_tag
self._search_mode = search_mode if search_mode in _VALID_SEARCH_MODES else _DEFAULT_SEARCH_MODE
self._timeout = timeout
self._client = Supermemory(api_key=api_key, timeout=timeout, max_retries=0)
def add_memory(self, content: str, metadata: Optional[dict] = None, *,
entity_context: str = "", container_tag: Optional[str] = None,
custom_id: Optional[str] = None) -> dict:
tag = container_tag or self._container_tag
kwargs: dict[str, Any] = {
def add_memory(self, content: str, metadata: Optional[dict] = None, *, entity_context: str = "") -> dict:
kwargs = {
"content": content.strip(),
"container_tags": [tag],
"container_tags": [self._container_tag],
}
if metadata:
kwargs["metadata"] = metadata
if entity_context:
kwargs["entity_context"] = _clamp_entity_context(entity_context)
if custom_id:
kwargs["custom_id"] = custom_id
result = self._client.documents.add(**kwargs)
return {"id": getattr(result, "id", "")}
def search_memories(self, query: str, *, limit: int = 5,
container_tag: Optional[str] = None,
search_mode: Optional[str] = None) -> list[dict]:
tag = container_tag or self._container_tag
mode = search_mode or self._search_mode
kwargs: dict[str, Any] = {"q": query, "container_tag": tag, "limit": limit}
if mode in _VALID_SEARCH_MODES:
kwargs["search_mode"] = mode
response = self._client.search.memories(**kwargs)
def search_memories(self, query: str, *, limit: int = 5) -> list[dict]:
response = self._client.search.memories(q=query, container_tag=self._container_tag, limit=limit)
results = []
for item in (getattr(response, "results", None) or []):
results.append({
@@ -307,10 +273,8 @@ class _SupermemoryClient:
})
return results
def get_profile(self, query: Optional[str] = None, *,
container_tag: Optional[str] = None) -> dict:
tag = container_tag or self._container_tag
kwargs: dict[str, Any] = {"container_tag": tag}
def get_profile(self, query: Optional[str] = None) -> dict:
kwargs = {"container_tag": self._container_tag}
if query:
kwargs["q"] = query
response = self._client.profile(**kwargs)
@@ -332,19 +296,18 @@ class _SupermemoryClient:
})
return {"static": static, "dynamic": dynamic, "search_results": search_results}
def forget_memory(self, memory_id: str, *, container_tag: Optional[str] = None) -> None:
tag = container_tag or self._container_tag
self._client.memories.forget(container_tag=tag, id=memory_id)
def forget_memory(self, memory_id: str) -> None:
self._client.memories.forget(container_tag=self._container_tag, id=memory_id)
def forget_by_query(self, query: str, *, container_tag: Optional[str] = None) -> dict:
results = self.search_memories(query, limit=5, container_tag=container_tag)
def forget_by_query(self, query: str) -> dict:
results = self.search_memories(query, limit=5)
if not results:
return {"success": False, "message": "No matching memory found to forget."}
target = results[0]
memory_id = target.get("id", "")
if not memory_id:
return {"success": False, "message": "Best matching memory has no id."}
self.forget_memory(memory_id, container_tag=container_tag)
self.forget_memory(memory_id)
preview = (target.get("memory") or "")[:100]
return {"success": True, "message": f'Forgot: "{preview}"', "id": memory_id}
@@ -435,17 +398,11 @@ class SupermemoryMemoryProvider(MemoryProvider):
self._max_recall_results = _DEFAULT_MAX_RECALL_RESULTS
self._profile_frequency = _DEFAULT_PROFILE_FREQUENCY
self._capture_mode = _DEFAULT_CAPTURE_MODE
self._search_mode = _DEFAULT_SEARCH_MODE
self._entity_context = _DEFAULT_ENTITY_CONTEXT
self._api_timeout = _DEFAULT_API_TIMEOUT
self._hermes_home = ""
self._write_enabled = True
self._active = False
# Multi-container support
self._enable_custom_containers = False
self._custom_containers: List[str] = []
self._custom_container_instructions = ""
self._allowed_containers: List[str] = []
@property
def name(self) -> str:
@@ -462,11 +419,16 @@ class SupermemoryMemoryProvider(MemoryProvider):
return False
def get_config_schema(self):
# Only prompt for the API key during `hermes memory setup`.
# All other options are documented for $HERMES_HOME/supermemory.json
# or the SUPERMEMORY_CONTAINER_TAG env var.
return [
{"key": "api_key", "description": "Supermemory API key", "secret": True, "required": True, "env_var": "SUPERMEMORY_API_KEY", "url": "https://supermemory.ai"},
{"key": "container_tag", "description": "Container tag for reads and writes", "default": _DEFAULT_CONTAINER_TAG},
{"key": "auto_recall", "description": "Enable automatic recall before each turn", "default": "true", "choices": ["true", "false"]},
{"key": "auto_capture", "description": "Enable automatic capture after each completed turn", "default": "true", "choices": ["true", "false"]},
{"key": "max_recall_results", "description": "Maximum recalled items to inject", "default": str(_DEFAULT_MAX_RECALL_RESULTS)},
{"key": "profile_frequency", "description": "Include profile facts on first turn and every N turns", "default": str(_DEFAULT_PROFILE_FREQUENCY)},
{"key": "capture_mode", "description": "Capture mode", "default": _DEFAULT_CAPTURE_MODE, "choices": ["all", "everything"]},
{"key": "entity_context", "description": "Extraction guidance passed to Supermemory", "default": _DEFAULT_ENTITY_CONTEXT},
{"key": "api_timeout", "description": "Timeout in seconds for SDK and ingest calls", "default": str(_DEFAULT_API_TIMEOUT)},
]
def save_config(self, values, hermes_home):
@@ -484,29 +446,14 @@ class SupermemoryMemoryProvider(MemoryProvider):
self._turn_count = 0
self._config = _load_supermemory_config(self._hermes_home)
self._api_key = os.environ.get("SUPERMEMORY_API_KEY", "")
# Resolve container tag: env var > config > default.
# Supports {identity} template for profile-scoped containers.
env_tag = os.environ.get("SUPERMEMORY_CONTAINER_TAG", "").strip()
raw_tag = env_tag or self._config["container_tag"]
identity = kwargs.get("agent_identity", "default")
self._container_tag = _sanitize_tag(raw_tag.replace("{identity}", identity))
self._container_tag = self._config["container_tag"]
self._auto_recall = self._config["auto_recall"]
self._auto_capture = self._config["auto_capture"]
self._max_recall_results = self._config["max_recall_results"]
self._profile_frequency = self._config["profile_frequency"]
self._capture_mode = self._config["capture_mode"]
self._search_mode = self._config["search_mode"]
self._entity_context = self._config["entity_context"]
self._api_timeout = self._config["api_timeout"]
# Multi-container setup
self._enable_custom_containers = self._config["enable_custom_container_tags"]
self._custom_containers = self._config["custom_containers"]
self._custom_container_instructions = self._config["custom_container_instructions"]
self._allowed_containers = [self._container_tag] + list(self._custom_containers)
agent_context = kwargs.get("agent_context", "")
self._write_enabled = agent_context not in ("cron", "flush", "subagent")
self._active = bool(self._api_key)
@@ -517,7 +464,6 @@ class SupermemoryMemoryProvider(MemoryProvider):
api_key=self._api_key,
timeout=self._api_timeout,
container_tag=self._container_tag,
search_mode=self._search_mode,
)
except Exception:
logger.warning("Supermemory initialization failed", exc_info=True)
@@ -530,18 +476,11 @@ class SupermemoryMemoryProvider(MemoryProvider):
def system_prompt_block(self) -> str:
if not self._active:
return ""
lines = [
"# Supermemory",
f"Active. Container: {self._container_tag}.",
"Use supermemory_search, supermemory_store, supermemory_forget, and supermemory_profile for explicit memory operations.",
]
if self._enable_custom_containers and self._custom_containers:
tags_str = ", ".join(self._allowed_containers)
lines.append(f"\nMulti-container mode enabled. Available containers: {tags_str}.")
lines.append("Pass an optional container_tag to supermemory_search, supermemory_store, supermemory_forget, and supermemory_profile to target a specific container.")
if self._custom_container_instructions:
lines.append(f"\n{self._custom_container_instructions}")
return "\n".join(lines)
return (
"# Supermemory\n"
f"Active. Container: {self._container_tag}.\n"
"Use supermemory_search, supermemory_store, supermemory_forget, and supermemory_profile for explicit memory operations."
)
def prefetch(self, query: str, *, session_id: str = "") -> str:
if not self._active or not self._auto_recall or not self._client or not query.strip():
@@ -643,62 +582,22 @@ class SupermemoryMemoryProvider(MemoryProvider):
thread.join(timeout=5.0)
setattr(self, attr_name, None)
def _resolve_tool_container_tag(self, args: dict) -> Optional[str]:
"""Validate and resolve container_tag from tool call args.
Returns None (use primary) if multi-container is disabled or no tag provided.
Returns the validated tag if it's in the allowed list.
Raises ValueError if the tag is not whitelisted.
"""
if not self._enable_custom_containers:
return None
tag = str(args.get("container_tag") or "").strip()
if not tag:
return None
sanitized = _sanitize_tag(tag)
if sanitized not in self._allowed_containers:
raise ValueError(
f"Container tag '{sanitized}' is not allowed. "
f"Allowed: {', '.join(self._allowed_containers)}"
)
return sanitized
def get_tool_schemas(self) -> List[Dict[str, Any]]:
if not self._enable_custom_containers:
return [STORE_SCHEMA, SEARCH_SCHEMA, FORGET_SCHEMA, PROFILE_SCHEMA]
# When multi-container is enabled, add optional container_tag to relevant tools
container_param = {
"type": "string",
"description": f"Optional container tag. Allowed: {', '.join(self._allowed_containers)}. Defaults to primary ({self._container_tag}).",
}
schemas = []
for base in [STORE_SCHEMA, SEARCH_SCHEMA, FORGET_SCHEMA, PROFILE_SCHEMA]:
schema = json.loads(json.dumps(base)) # deep copy
schema["parameters"]["properties"]["container_tag"] = container_param
schemas.append(schema)
return schemas
return [STORE_SCHEMA, SEARCH_SCHEMA, FORGET_SCHEMA, PROFILE_SCHEMA]
def _tool_store(self, args: dict) -> str:
content = str(args.get("content") or "").strip()
if not content:
return tool_error("content is required")
try:
tag = self._resolve_tool_container_tag(args)
except ValueError as exc:
return tool_error(str(exc))
metadata = args.get("metadata") or {}
if not isinstance(metadata, dict):
metadata = {}
metadata.setdefault("type", _detect_category(content))
metadata["source"] = "hermes_tool"
try:
result = self._client.add_memory(content, metadata=metadata, entity_context=self._entity_context, container_tag=tag)
result = self._client.add_memory(content, metadata=metadata, entity_context=self._entity_context)
preview = content[:80] + ("..." if len(content) > 80 else "")
resp: dict[str, Any] = {"saved": True, "id": result.get("id", ""), "preview": preview}
if tag:
resp["container_tag"] = tag
return json.dumps(resp)
return json.dumps({"saved": True, "id": result.get("id", ""), "preview": preview})
except Exception as exc:
return tool_error(f"Failed to store memory: {exc}")
@@ -706,29 +605,22 @@ class SupermemoryMemoryProvider(MemoryProvider):
query = str(args.get("query") or "").strip()
if not query:
return tool_error("query is required")
try:
tag = self._resolve_tool_container_tag(args)
except ValueError as exc:
return tool_error(str(exc))
try:
limit = max(1, min(20, int(args.get("limit", 5) or 5)))
except Exception:
limit = 5
try:
results = self._client.search_memories(query, limit=limit, container_tag=tag)
results = self._client.search_memories(query, limit=limit)
formatted = []
for item in results:
entry: dict[str, Any] = {"id": item.get("id", ""), "content": item.get("memory", "")}
entry = {"id": item.get("id", ""), "content": item.get("memory", "")}
if item.get("similarity") is not None:
try:
entry["similarity"] = round(float(item["similarity"]) * 100)
except Exception:
pass
formatted.append(entry)
resp: dict[str, Any] = {"results": formatted, "count": len(formatted)}
if tag:
resp["container_tag"] = tag
return json.dumps(resp)
return json.dumps({"results": formatted, "count": len(formatted)})
except Exception as exc:
return tool_error(f"Search failed: {exc}")
@@ -737,39 +629,28 @@ class SupermemoryMemoryProvider(MemoryProvider):
query = str(args.get("query") or "").strip()
if not memory_id and not query:
return tool_error("Provide either id or query")
try:
tag = self._resolve_tool_container_tag(args)
except ValueError as exc:
return tool_error(str(exc))
try:
if memory_id:
self._client.forget_memory(memory_id, container_tag=tag)
self._client.forget_memory(memory_id)
return json.dumps({"forgotten": True, "id": memory_id})
return json.dumps(self._client.forget_by_query(query, container_tag=tag))
return json.dumps(self._client.forget_by_query(query))
except Exception as exc:
return tool_error(f"Forget failed: {exc}")
def _tool_profile(self, args: dict) -> str:
query = str(args.get("query") or "").strip() or None
try:
tag = self._resolve_tool_container_tag(args)
except ValueError as exc:
return tool_error(str(exc))
try:
profile = self._client.get_profile(query=query, container_tag=tag)
profile = self._client.get_profile(query=query)
sections = []
if profile["static"]:
sections.append("## User Profile (Persistent)\n" + "\n".join(f"- {item}" for item in profile["static"]))
if profile["dynamic"]:
sections.append("## Recent Context\n" + "\n".join(f"- {item}" for item in profile["dynamic"]))
resp: dict[str, Any] = {
return json.dumps({
"profile": "\n\n".join(sections),
"static_count": len(profile["static"]),
"dynamic_count": len(profile["dynamic"]),
}
if tag:
resp["container_tag"] = tag
return json.dumps(resp)
})
except Exception as exc:
return tool_error(f"Profile failed: {exc}")
+1 -3
View File
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "hermes-agent"
version = "0.8.0"
version = "0.7.0"
description = "The self-improving AI agent — creates skills from experience, improves them during use, and runs anywhere"
readme = "README.md"
requires-python = ">=3.11"
@@ -62,7 +62,6 @@ mcp = ["mcp>=1.2.0,<2"]
homeassistant = ["aiohttp>=3.9.0,<4"]
sms = ["aiohttp>=3.9.0,<4"]
acp = ["agent-client-protocol>=0.9.0,<1.0"]
mistral = ["mistralai>=2.3.0,<3"]
dingtalk = ["dingtalk-stream>=0.1.0,<1"]
feishu = ["lark-oapi>=1.5.3,<2"]
rl = [
@@ -95,7 +94,6 @@ all = [
"hermes-agent[voice]",
"hermes-agent[dingtalk]",
"hermes-agent[feishu]",
"hermes-agent[mistral]",
]
[project.scripts]
+209 -541
View File
File diff suppressed because it is too large Load Diff
@@ -249,6 +249,7 @@ Type these during an interactive chat session.
/config Show config (CLI)
/model [name] Show or change model
/provider Show provider info
/prompt [text] View/set system prompt (CLI)
/personality [name] Set personality
/reasoning [level] Set reasoning (none|low|medium|high|xhigh|show|hide)
/verbose Cycle: off → new → all → verbose
-252
View File
@@ -1276,258 +1276,6 @@ class TestRoleAlternation:
assert [m["role"] for m in result] == ["user", "assistant", "user"]
# ---------------------------------------------------------------------------
# Thinking block signature management
# ---------------------------------------------------------------------------
class TestThinkingBlockSignatureManagement:
"""Tests for the thinking block handling strategy:
strip from old turns, preserve latest signed, downgrade unsigned."""
def test_thinking_stripped_from_non_last_assistant(self):
"""Thinking blocks are removed from all assistant messages except the last."""
messages = [
{
"role": "assistant",
"content": "",
"tool_calls": [
{"id": "tc_1", "function": {"name": "tool1", "arguments": "{}"}},
],
"reasoning_details": [
{"type": "thinking", "thinking": "Old reasoning.", "signature": "sig_old"},
],
},
{"role": "tool", "tool_call_id": "tc_1", "content": "result 1"},
{
"role": "assistant",
"content": "",
"tool_calls": [
{"id": "tc_2", "function": {"name": "tool2", "arguments": "{}"}},
],
"reasoning_details": [
{"type": "thinking", "thinking": "Latest reasoning.", "signature": "sig_new"},
],
},
{"role": "tool", "tool_call_id": "tc_2", "content": "result 2"},
]
_, result = convert_messages_to_anthropic(messages)
# Find both assistant messages
assistants = [m for m in result if m["role"] == "assistant"]
assert len(assistants) == 2
# First (non-last) assistant: no thinking blocks
first_types = [b.get("type") for b in assistants[0]["content"]]
assert "thinking" not in first_types
assert "redacted_thinking" not in first_types
assert "tool_use" in first_types # tool_use should survive
# Last assistant: thinking block preserved with signature
last_blocks = assistants[1]["content"]
thinking_blocks = [b for b in last_blocks if b.get("type") == "thinking"]
assert len(thinking_blocks) == 1
assert thinking_blocks[0]["thinking"] == "Latest reasoning."
assert thinking_blocks[0]["signature"] == "sig_new"
def test_signed_thinking_preserved_on_last_turn(self):
"""A signed thinking block on the last assistant message is kept."""
messages = [
{
"role": "assistant",
"content": "The answer is 42.",
"reasoning_details": [
{"type": "thinking", "thinking": "Deep thought.", "signature": "sig_valid"},
],
},
]
_, result = convert_messages_to_anthropic(messages)
blocks = result[0]["content"]
thinking = [b for b in blocks if b.get("type") == "thinking"]
assert len(thinking) == 1
assert thinking[0]["signature"] == "sig_valid"
def test_unsigned_thinking_downgraded_to_text_on_last_turn(self):
"""Unsigned thinking blocks on the last turn become text blocks."""
messages = [
{
"role": "assistant",
"content": "Response text.",
"reasoning_details": [
{"type": "thinking", "thinking": "Unsigned reasoning."},
# No 'signature' field
],
},
]
_, result = convert_messages_to_anthropic(messages)
blocks = result[0]["content"]
# No thinking blocks should remain
assert not any(b.get("type") == "thinking" for b in blocks)
# The reasoning text should be preserved as a text block
text_contents = [b.get("text", "") for b in blocks if b.get("type") == "text"]
assert "Unsigned reasoning." in text_contents
def test_redacted_thinking_with_data_preserved(self):
"""Redacted thinking with 'data' field is kept on last turn."""
messages = [
{
"role": "assistant",
"content": "Response.",
"reasoning_details": [
{"type": "redacted_thinking", "data": "opaque_signature_data"},
],
},
]
_, result = convert_messages_to_anthropic(messages)
blocks = result[0]["content"]
redacted = [b for b in blocks if b.get("type") == "redacted_thinking"]
assert len(redacted) == 1
assert redacted[0]["data"] == "opaque_signature_data"
def test_redacted_thinking_without_data_dropped(self):
"""Redacted thinking without 'data' is dropped — can't be validated."""
messages = [
{
"role": "assistant",
"content": "Response.",
"reasoning_details": [
{"type": "redacted_thinking"},
# No 'data' field
],
},
]
_, result = convert_messages_to_anthropic(messages)
blocks = result[0]["content"]
assert not any(b.get("type") == "redacted_thinking" for b in blocks)
def test_cache_control_stripped_from_thinking_blocks(self):
"""cache_control markers are removed from thinking/redacted_thinking blocks."""
messages = [
{
"role": "assistant",
"content": "",
"tool_calls": [
{"id": "tc_1", "function": {"name": "t", "arguments": "{}"}},
],
"reasoning_details": [
{
"type": "thinking",
"thinking": "Reasoning.",
"signature": "sig_1",
"cache_control": {"type": "ephemeral"},
},
],
},
{"role": "tool", "tool_call_id": "tc_1", "content": "result"},
]
_, result = convert_messages_to_anthropic(messages)
assistant = next(m for m in result if m["role"] == "assistant")
for block in assistant["content"]:
if block.get("type") in ("thinking", "redacted_thinking"):
assert "cache_control" not in block
def test_thinking_stripped_from_merged_consecutive_assistants(self):
"""When consecutive assistants are merged, second one's thinking is dropped."""
messages = [
{
"role": "assistant",
"content": "First response.",
"reasoning_details": [
{"type": "thinking", "thinking": "First thought.", "signature": "sig_1"},
],
},
{
"role": "assistant",
"content": "Second response.",
"reasoning_details": [
{"type": "thinking", "thinking": "Second thought.", "signature": "sig_2"},
],
},
]
_, result = convert_messages_to_anthropic(messages)
# Should be merged into one assistant message
assistants = [m for m in result if m["role"] == "assistant"]
assert len(assistants) == 1
# Only the first thinking block should remain (signed, on the last/only assistant)
blocks = assistants[0]["content"]
thinking = [b for b in blocks if b.get("type") == "thinking"]
assert len(thinking) == 1
assert thinking[0]["thinking"] == "First thought."
def test_empty_content_after_strip_gets_placeholder(self):
"""If stripping thinking leaves an empty message, a placeholder is added."""
messages = [
{
"role": "assistant",
"content": "",
"reasoning_details": [
{"type": "thinking", "thinking": "Only thinking, no text."},
# Unsigned — will be downgraded, but content was empty string
],
},
{"role": "user", "content": "Next message."},
{"role": "assistant", "content": "Final."},
]
_, result = convert_messages_to_anthropic(messages)
# First assistant is non-last, so thinking is stripped completely.
# The original content was empty and thinking was unsigned → placeholder
first_assistant = result[0]
assert first_assistant["role"] == "assistant"
assert len(first_assistant["content"]) >= 1
def test_multi_turn_conversation_preserves_only_last(self):
"""Full multi-turn conversation: only last assistant keeps thinking."""
messages = [
{"role": "user", "content": "Question 1"},
{
"role": "assistant",
"content": "Answer 1",
"reasoning_details": [
{"type": "thinking", "thinking": "Thought 1", "signature": "sig_1"},
],
},
{"role": "user", "content": "Question 2"},
{
"role": "assistant",
"content": "Answer 2",
"reasoning_details": [
{"type": "thinking", "thinking": "Thought 2", "signature": "sig_2"},
],
},
{"role": "user", "content": "Question 3"},
{
"role": "assistant",
"content": "Answer 3",
"reasoning_details": [
{"type": "thinking", "thinking": "Thought 3", "signature": "sig_3"},
],
},
]
_, result = convert_messages_to_anthropic(messages)
assistants = [m for m in result if m["role"] == "assistant"]
assert len(assistants) == 3
# First two: no thinking blocks
for a in assistants[:2]:
assert not any(
b.get("type") in ("thinking", "redacted_thinking")
for b in a["content"]
if isinstance(b, dict)
)
# Last one: thinking preserved
last_thinking = [
b for b in assistants[2]["content"]
if isinstance(b, dict) and b.get("type") == "thinking"
]
assert len(last_thinking) == 1
assert last_thinking[0]["signature"] == "sig_3"
# ---------------------------------------------------------------------------
# Tool choice
# ---------------------------------------------------------------------------
+63 -110
View File
@@ -77,20 +77,6 @@ class TestReadCodexAccessToken:
result = _read_codex_access_token()
assert result == "tok-123"
def test_pool_without_selected_entry_falls_back_to_auth_store(self, tmp_path, monkeypatch):
hermes_home = tmp_path / "hermes"
hermes_home.mkdir(parents=True, exist_ok=True)
monkeypatch.setenv("HERMES_HOME", str(hermes_home))
valid_jwt = "eyJhbGciOiJSUzI1NiJ9.eyJleHAiOjk5OTk5OTk5OTl9.sig"
with patch("agent.auxiliary_client._select_pool_entry", return_value=(True, None)), \
patch("hermes_cli.auth._read_codex_tokens", return_value={
"tokens": {"access_token": valid_jwt, "refresh_token": "refresh"}
}):
result = _read_codex_access_token()
assert result == valid_jwt
def test_missing_returns_none(self, tmp_path, monkeypatch):
hermes_home = tmp_path / "hermes"
hermes_home.mkdir(parents=True, exist_ok=True)
@@ -252,24 +238,6 @@ class TestAnthropicOAuthFlag:
assert mock_build.call_args.args[0] == "sk-ant-oat01-pooled"
class TestTryCodex:
def test_pool_without_selected_entry_falls_back_to_auth_store(self):
with (
patch("agent.auxiliary_client._select_pool_entry", return_value=(True, None)),
patch("agent.auxiliary_client._read_codex_access_token", return_value="codex-auth-token"),
patch("agent.auxiliary_client.OpenAI") as mock_openai,
):
mock_openai.return_value = MagicMock()
from agent.auxiliary_client import _try_codex
client, model = _try_codex()
assert client is not None
assert model == "gpt-5.2-codex"
assert mock_openai.call_args.kwargs["api_key"] == "codex-auth-token"
assert mock_openai.call_args.kwargs["base_url"] == "https://chatgpt.com/backend-api/codex"
class TestExpiredCodexFallback:
"""Test that expired Codex tokens don't block the auto chain."""
@@ -503,23 +471,6 @@ class TestExplicitProviderRouting:
client, model = resolve_provider_client("zai")
assert client is not None
def test_explicit_google_alias_uses_gemini_credentials(self):
"""provider='google' should route through the gemini API-key provider."""
with (
patch("hermes_cli.auth.resolve_api_key_provider_credentials", return_value={
"api_key": "gemini-key",
"base_url": "https://generativelanguage.googleapis.com/v1beta/openai",
}),
patch("agent.auxiliary_client.OpenAI") as mock_openai,
):
mock_openai.return_value = MagicMock()
client, model = resolve_provider_client("google", model="gemini-3.1-pro-preview")
assert client is not None
assert model == "gemini-3.1-pro-preview"
assert mock_openai.call_args.kwargs["api_key"] == "gemini-key"
assert mock_openai.call_args.kwargs["base_url"] == "https://generativelanguage.googleapis.com/v1beta/openai"
def test_explicit_unknown_returns_none(self, monkeypatch):
"""Unknown provider should return None."""
client, model = resolve_provider_client("nonexistent-provider")
@@ -673,15 +624,12 @@ class TestVisionClientFallback:
assert client is None
assert model is None
def test_vision_auto_includes_active_provider_when_configured(self, monkeypatch):
"""Active provider appears in available backends when credentials exist."""
monkeypatch.setenv("ANTHROPIC_API_KEY", "***")
def test_vision_auto_includes_anthropic_when_configured(self, monkeypatch):
monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-api03-key")
with (
patch("agent.auxiliary_client._read_nous_auth", return_value=None),
patch("agent.auxiliary_client._read_main_provider", return_value="anthropic"),
patch("agent.auxiliary_client._read_main_model", return_value="claude-sonnet-4"),
patch("agent.anthropic_adapter.build_anthropic_client", return_value=MagicMock()),
patch("agent.anthropic_adapter.resolve_anthropic_token", return_value="***"),
patch("agent.anthropic_adapter.resolve_anthropic_token", return_value="sk-ant-api03-key"),
):
backends = get_available_vision_backends()
@@ -754,51 +702,88 @@ class TestAuxiliaryPoolAwareness:
assert call_kwargs["base_url"] == "https://api.githubcopilot.com"
assert call_kwargs["default_headers"]["Editor-Version"]
def test_vision_auto_uses_active_provider_as_fallback(self, monkeypatch):
"""When no OpenRouter/Nous available, vision auto falls back to active provider."""
monkeypatch.setenv("ANTHROPIC_API_KEY", "***")
def test_vision_auto_uses_anthropic_when_no_higher_priority_backend(self, monkeypatch):
monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-api03-key")
with (
patch("agent.auxiliary_client._read_nous_auth", return_value=None),
patch("agent.auxiliary_client._read_main_provider", return_value="anthropic"),
patch("agent.auxiliary_client._read_main_model", return_value="claude-sonnet-4"),
patch("agent.anthropic_adapter.build_anthropic_client", return_value=MagicMock()),
patch("agent.anthropic_adapter.resolve_anthropic_token", return_value="***"),
patch("agent.anthropic_adapter.resolve_anthropic_token", return_value="sk-ant-api03-key"),
):
client, model = get_vision_auxiliary_client()
assert client is not None
assert client.__class__.__name__ == "AnthropicAuxiliaryClient"
assert model == "claude-haiku-4-5-20251001"
def test_vision_auto_prefers_active_provider_over_openrouter(self, monkeypatch):
"""Active provider is tried before OpenRouter in vision auto."""
def test_selected_anthropic_provider_is_preferred_for_vision_auto(self, monkeypatch):
monkeypatch.setenv("OPENROUTER_API_KEY", "or-key")
monkeypatch.setenv("ANTHROPIC_API_KEY", "***")
monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-api03-key")
def fake_load_config():
return {"model": {"provider": "anthropic", "default": "claude-sonnet-4-6"}}
with (
patch("agent.auxiliary_client._read_nous_auth", return_value=None),
patch("agent.auxiliary_client._read_main_provider", return_value="anthropic"),
patch("agent.auxiliary_client._read_main_model", return_value="claude-sonnet-4"),
patch("agent.anthropic_adapter.build_anthropic_client", return_value=MagicMock()),
patch("agent.anthropic_adapter.resolve_anthropic_token", return_value="***"),
patch("agent.anthropic_adapter.resolve_anthropic_token", return_value="sk-ant-api03-key"),
patch("agent.auxiliary_client.OpenAI") as mock_openai,
patch("hermes_cli.config.load_config", fake_load_config),
):
client, model = get_vision_auxiliary_client()
assert client is not None
assert client.__class__.__name__ == "AnthropicAuxiliaryClient"
assert model == "claude-haiku-4-5-20251001"
def test_selected_codex_provider_short_circuits_vision_auto(self, monkeypatch):
def fake_load_config():
return {"model": {"provider": "openai-codex", "default": "gpt-5.2-codex"}}
codex_client = MagicMock()
with (
patch("hermes_cli.config.load_config", fake_load_config),
patch("agent.auxiliary_client._try_codex", return_value=(codex_client, "gpt-5.2-codex")) as mock_codex,
patch("agent.auxiliary_client._try_openrouter") as mock_openrouter,
patch("agent.auxiliary_client._try_nous") as mock_nous,
patch("agent.auxiliary_client._try_anthropic") as mock_anthropic,
patch("agent.auxiliary_client._try_custom_endpoint") as mock_custom,
):
provider, client, model = resolve_vision_provider_client()
# Active provider should win over OpenRouter
assert provider == "anthropic"
assert provider == "openai-codex"
assert client is codex_client
assert model == "gpt-5.2-codex"
mock_codex.assert_called_once()
mock_openrouter.assert_not_called()
mock_nous.assert_not_called()
mock_anthropic.assert_not_called()
mock_custom.assert_not_called()
def test_vision_auto_uses_named_custom_as_active_provider(self, monkeypatch):
"""Named custom provider works as active provider fallback in vision auto."""
def test_vision_auto_includes_codex(self, codex_auth_dir):
"""Codex supports vision (gpt-5.3-codex), so auto mode should use it."""
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client.OpenAI"):
client, model = get_vision_auxiliary_client()
from agent.auxiliary_client import CodexAuxiliaryClient
assert isinstance(client, CodexAuxiliaryClient)
assert model == "gpt-5.2-codex"
def test_vision_auto_falls_back_to_custom_endpoint(self, monkeypatch):
"""Custom endpoint is used as fallback in vision auto mode.
Many local models (Qwen-VL, LLaVA, etc.) support vision.
When no OpenRouter/Nous/Codex is available, try the custom endpoint.
"""
monkeypatch.delenv("OPENROUTER_API_KEY", raising=False)
monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client._select_pool_entry", return_value=(False, None)), \
patch("agent.auxiliary_client._read_main_provider", return_value="custom:local"), \
patch("agent.auxiliary_client._read_main_model", return_value="my-local-model"), \
patch("agent.auxiliary_client.resolve_provider_client",
return_value=(MagicMock(), "my-local-model")) as mock_resolve:
provider, client, model = resolve_vision_provider_client()
assert client is not None
assert provider == "custom:local"
patch("agent.auxiliary_client._read_codex_access_token", return_value=None), \
patch("agent.auxiliary_client._resolve_custom_runtime",
return_value=("http://localhost:1234/v1", "local-key")), \
patch("agent.auxiliary_client.OpenAI") as mock_openai:
client, model = get_vision_auxiliary_client()
assert client is not None # Custom endpoint picked up as fallback
def test_vision_direct_endpoint_override(self, monkeypatch):
monkeypatch.setenv("OPENROUTER_API_KEY", "or-key")
@@ -837,31 +822,6 @@ class TestAuxiliaryPoolAwareness:
assert model == "google/gemini-3-flash-preview"
assert client is not None
def test_vision_config_google_provider_uses_gemini_credentials(self, monkeypatch):
config = {
"auxiliary": {
"vision": {
"provider": "google",
"model": "gemini-3.1-pro-preview",
}
}
}
monkeypatch.setattr("hermes_cli.config.load_config", lambda: config)
with (
patch("hermes_cli.auth.resolve_api_key_provider_credentials", return_value={
"api_key": "gemini-key",
"base_url": "https://generativelanguage.googleapis.com/v1beta/openai",
}),
patch("agent.auxiliary_client.OpenAI") as mock_openai,
):
resolved_provider, client, model = resolve_vision_provider_client()
assert resolved_provider == "gemini"
assert client is not None
assert model == "gemini-3.1-pro-preview"
assert mock_openai.call_args.kwargs["api_key"] == "gemini-key"
assert mock_openai.call_args.kwargs["base_url"] == "https://generativelanguage.googleapis.com/v1beta/openai"
def test_vision_forced_main_uses_custom_endpoint(self, monkeypatch):
"""When explicitly forced to 'main', vision CAN use custom endpoint."""
config = {
@@ -886,14 +846,7 @@ class TestAuxiliaryPoolAwareness:
monkeypatch.setenv("AUXILIARY_VISION_PROVIDER", "main")
monkeypatch.delenv("OPENAI_BASE_URL", raising=False)
monkeypatch.delenv("OPENAI_API_KEY", raising=False)
# Clear client cache to avoid stale entries from previous tests
from agent.auxiliary_client import _client_cache
_client_cache.clear()
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client._read_main_provider", return_value=""), \
patch("agent.auxiliary_client._read_main_model", return_value=""), \
patch("agent.auxiliary_client._select_pool_entry", return_value=(False, None)), \
patch("agent.auxiliary_client._resolve_custom_runtime", return_value=(None, None)), \
patch("agent.auxiliary_client._read_codex_access_token", return_value=None), \
patch("agent.auxiliary_client._resolve_api_key_provider", return_value=(None, None)):
client, model = get_vision_auxiliary_client()
@@ -1,151 +0,0 @@
"""Tests for named custom provider and 'main' alias resolution in auxiliary_client."""
import os
from unittest.mock import patch, MagicMock
import pytest
@pytest.fixture(autouse=True)
def _isolate(tmp_path, monkeypatch):
"""Redirect HERMES_HOME and clear module caches."""
hermes_home = tmp_path / ".hermes"
hermes_home.mkdir()
monkeypatch.setenv("HERMES_HOME", str(hermes_home))
# Write a minimal config so load_config doesn't fail
(hermes_home / "config.yaml").write_text("model:\n default: test-model\n")
def _write_config(tmp_path, config_dict):
"""Write a config.yaml to the test HERMES_HOME."""
import yaml
config_path = tmp_path / ".hermes" / "config.yaml"
config_path.write_text(yaml.dump(config_dict))
class TestNormalizeVisionProvider:
"""_normalize_vision_provider should resolve 'main' to actual main provider."""
def test_main_resolves_to_named_custom(self, tmp_path):
_write_config(tmp_path, {
"model": {"default": "my-model", "provider": "custom:beans"},
"custom_providers": [{"name": "beans", "base_url": "http://localhost/v1"}],
})
from agent.auxiliary_client import _normalize_vision_provider
assert _normalize_vision_provider("main") == "custom:beans"
def test_main_resolves_to_openrouter(self, tmp_path):
_write_config(tmp_path, {
"model": {"default": "anthropic/claude-sonnet-4", "provider": "openrouter"},
})
from agent.auxiliary_client import _normalize_vision_provider
assert _normalize_vision_provider("main") == "openrouter"
def test_main_resolves_to_deepseek(self, tmp_path):
_write_config(tmp_path, {
"model": {"default": "deepseek-chat", "provider": "deepseek"},
})
from agent.auxiliary_client import _normalize_vision_provider
assert _normalize_vision_provider("main") == "deepseek"
def test_main_falls_back_to_custom_when_no_provider(self, tmp_path):
_write_config(tmp_path, {"model": {"default": "gpt-4o"}})
from agent.auxiliary_client import _normalize_vision_provider
assert _normalize_vision_provider("main") == "custom"
def test_bare_provider_name_unchanged(self):
from agent.auxiliary_client import _normalize_vision_provider
assert _normalize_vision_provider("beans") == "beans"
assert _normalize_vision_provider("deepseek") == "deepseek"
def test_codex_alias_still_works(self):
from agent.auxiliary_client import _normalize_vision_provider
assert _normalize_vision_provider("codex") == "openai-codex"
def test_auto_unchanged(self):
from agent.auxiliary_client import _normalize_vision_provider
assert _normalize_vision_provider("auto") == "auto"
assert _normalize_vision_provider(None) == "auto"
class TestResolveProviderClientMainAlias:
"""resolve_provider_client('main', ...) should resolve to actual main provider."""
def test_main_resolves_to_named_custom_provider(self, tmp_path):
_write_config(tmp_path, {
"model": {"default": "my-model", "provider": "beans"},
"custom_providers": [
{"name": "beans", "base_url": "http://beans.local/v1", "api_key": "k"},
],
})
from agent.auxiliary_client import resolve_provider_client
client, model = resolve_provider_client("main", "override-model")
assert client is not None
assert model == "override-model"
assert "beans.local" in str(client.base_url)
def test_main_with_custom_colon_prefix(self, tmp_path):
_write_config(tmp_path, {
"model": {"default": "my-model", "provider": "custom:beans"},
"custom_providers": [
{"name": "beans", "base_url": "http://beans.local/v1", "api_key": "k"},
],
})
from agent.auxiliary_client import resolve_provider_client
client, model = resolve_provider_client("main", "test")
assert client is not None
assert "beans.local" in str(client.base_url)
class TestResolveProviderClientNamedCustom:
"""resolve_provider_client should resolve named custom providers directly."""
def test_named_custom_provider(self, tmp_path):
_write_config(tmp_path, {
"model": {"default": "test-model"},
"custom_providers": [
{"name": "beans", "base_url": "http://beans.local/v1", "api_key": "k"},
],
})
from agent.auxiliary_client import resolve_provider_client
client, model = resolve_provider_client("beans", "my-model")
assert client is not None
assert model == "my-model"
assert "beans.local" in str(client.base_url)
def test_named_custom_provider_default_model(self, tmp_path):
_write_config(tmp_path, {
"model": {"default": "main-model"},
"custom_providers": [
{"name": "beans", "base_url": "http://beans.local/v1", "api_key": "k"},
],
})
from agent.auxiliary_client import resolve_provider_client
client, model = resolve_provider_client("beans")
assert client is not None
# Should use _read_main_model() fallback
assert model == "main-model"
def test_named_custom_no_api_key_uses_fallback(self, tmp_path):
_write_config(tmp_path, {
"model": {"default": "test"},
"custom_providers": [
{"name": "local", "base_url": "http://localhost:8080/v1"},
],
})
from agent.auxiliary_client import resolve_provider_client
client, model = resolve_provider_client("local", "test")
assert client is not None
# no-key-required should be used
def test_nonexistent_named_custom_falls_through(self, tmp_path):
_write_config(tmp_path, {
"model": {"default": "test"},
"custom_providers": [
{"name": "beans", "base_url": "http://beans.local/v1"},
],
})
from agent.auxiliary_client import resolve_provider_client
# "coffee" doesn't exist in custom_providers
client, model = resolve_provider_client("coffee", "test")
assert client is None
+6 -173
View File
@@ -324,10 +324,7 @@ class TestCompressWithClient:
with patch("agent.context_compressor.get_model_context_length", return_value=100000):
c = ContextCompressor(model="test", quiet_mode=True, protect_first_n=2, protect_last_n=2)
# Last head message (index 1) is "assistant" → summary should be "user".
# With min_tail=3, tail = last 3 messages (indices 5-7).
# head_last=assistant, tail_first=assistant → summary_role="user", no collision.
# Need 8 messages: min_for_compress = 2+3+1 = 6, must have > 6.
# Last head message (index 1) is "assistant" → summary should be "user"
msgs = [
{"role": "user", "content": "msg 0"},
{"role": "assistant", "content": "msg 1"},
@@ -335,8 +332,6 @@ class TestCompressWithClient:
{"role": "assistant", "content": "msg 3"},
{"role": "user", "content": "msg 4"},
{"role": "assistant", "content": "msg 5"},
{"role": "user", "content": "msg 6"},
{"role": "assistant", "content": "msg 7"},
]
with patch("agent.context_compressor.call_llm", return_value=mock_response):
result = c.compress(msgs)
@@ -465,10 +460,8 @@ class TestCompressWithClient:
c = ContextCompressor(model="test", quiet_mode=True, protect_first_n=2, protect_last_n=2)
# Head: [system, user] → last head = user
# Tail: [assistant, user, assistant] → first tail = assistant
# Tail: [assistant, user] → first tail = assistant
# summary_role="assistant" collides with tail, "user" collides with head → merge
# With min_tail=3, tail = last 3 messages (indices 5-7).
# Need 8 messages: min_for_compress = 2+3+1 = 6, must have > 6.
msgs = [
{"role": "system", "content": "system prompt"},
{"role": "user", "content": "msg 1"},
@@ -477,7 +470,6 @@ class TestCompressWithClient:
{"role": "assistant", "content": "msg 4"}, # compressed
{"role": "assistant", "content": "msg 5"}, # tail start
{"role": "user", "content": "msg 6"},
{"role": "assistant", "content": "msg 7"},
]
with patch("agent.context_compressor.call_llm", return_value=mock_response):
result = c.compress(msgs)
@@ -489,7 +481,7 @@ class TestCompressWithClient:
if r1 in ("user", "assistant") and r2 in ("user", "assistant"):
assert r1 != r2, f"consecutive {r1} at indices {i-1},{i}"
# The summary should be merged into the first tail message (assistant at index 5)
# The summary should be merged into the first tail message (assistant)
first_tail = [m for m in result if "msg 5" in (m.get("content") or "")]
assert len(first_tail) == 1
assert "summary text" in first_tail[0]["content"]
@@ -504,18 +496,14 @@ class TestCompressWithClient:
with patch("agent.context_compressor.get_model_context_length", return_value=100000):
c = ContextCompressor(model="test", quiet_mode=True, protect_first_n=2, protect_last_n=2)
# Head=assistant, Tail=assistant → summary_role="user", no collision.
# With min_tail=3, tail = last 3 messages (indices 5-7).
# Need 8 messages: min_for_compress = 2+3+1 = 6, must have > 6.
# Head=assistant, Tail=assistant → summary_role="user", no collision
msgs = [
{"role": "user", "content": "msg 0"},
{"role": "assistant", "content": "msg 1"},
{"role": "user", "content": "msg 2"},
{"role": "assistant", "content": "msg 3"},
{"role": "user", "content": "msg 4"},
{"role": "assistant", "content": "msg 5"},
{"role": "user", "content": "msg 6"},
{"role": "assistant", "content": "msg 7"},
{"role": "assistant", "content": "msg 4"},
{"role": "user", "content": "msg 5"},
]
with patch("agent.context_compressor.call_llm", return_value=mock_response):
result = c.compress(msgs)
@@ -612,158 +600,3 @@ class TestSummaryTargetRatio:
with patch("agent.context_compressor.get_model_context_length", return_value=100_000):
c = ContextCompressor(model="test", quiet_mode=True)
assert c.protect_last_n == 20
class TestTokenBudgetTailProtection:
"""Tests for token-budget-based tail protection (PR #6240).
The core change: tail protection is now based on a token budget rather
than a fixed message count. This prevents large tool outputs from
blocking compaction.
"""
@pytest.fixture()
def budget_compressor(self):
"""Compressor with known token budget for tail protection tests."""
with patch("agent.context_compressor.get_model_context_length", return_value=200_000):
c = ContextCompressor(
model="test/model",
threshold_percent=0.50, # 100K threshold
protect_first_n=2,
protect_last_n=20,
quiet_mode=True,
)
return c
def test_large_tool_outputs_no_longer_block_compaction(self, budget_compressor):
"""The motivating scenario: 20 messages with large tool outputs should
NOT prevent compaction. With message-count tail protection they would
all be protected, leaving nothing to summarize."""
c = budget_compressor
messages = [
{"role": "user", "content": "Start task"},
{"role": "assistant", "content": "On it"},
]
# Add 20 messages with large tool outputs (~5K chars each ≈ 1250 tokens)
for i in range(10):
messages.append({
"role": "assistant", "content": None,
"tool_calls": [{"function": {"name": f"tool_{i}", "arguments": "{}"}}],
})
messages.append({
"role": "tool", "content": "x" * 5000,
"tool_call_id": f"call_{i}",
})
# Add 3 recent small messages
messages.append({"role": "user", "content": "What's the status?"})
messages.append({"role": "assistant", "content": "Here's what I found..."})
messages.append({"role": "user", "content": "Continue"})
# The tail cut should NOT protect all 20 tool messages
head_end = c.protect_first_n
cut = c._find_tail_cut_by_tokens(messages, head_end)
tail_size = len(messages) - cut
# With token budget, the tail should be much smaller than 20+
assert tail_size < 20, f"Tail {tail_size} messages — large tool outputs are blocking compaction"
# But at least 3 (hard minimum)
assert tail_size >= 3
def test_min_tail_always_3_messages(self, budget_compressor):
"""Even with a tiny token budget, at least 3 messages are protected."""
c = budget_compressor
# Override to a tiny budget
c.tail_token_budget = 10
messages = [
{"role": "user", "content": "hello"},
{"role": "assistant", "content": "hi"},
{"role": "user", "content": "do something"},
{"role": "assistant", "content": "working on it"},
{"role": "user", "content": "more work"},
{"role": "assistant", "content": "done"},
{"role": "user", "content": "thanks"},
]
head_end = 2
cut = c._find_tail_cut_by_tokens(messages, head_end)
tail_size = len(messages) - cut
assert tail_size >= 3, f"Tail is only {tail_size} messages, min should be 3"
def test_soft_ceiling_allows_oversized_message(self, budget_compressor):
"""The 1.5x soft ceiling allows an oversized message to be included
rather than splitting it."""
c = budget_compressor
# Set a small budget — 500 tokens
c.tail_token_budget = 500
messages = [
{"role": "user", "content": "hello"},
{"role": "assistant", "content": "hi"},
{"role": "user", "content": "read the file"},
# This message is ~600 tokens (> budget of 500, but < 1.5x = 750)
{"role": "assistant", "content": "a" * 2400},
{"role": "user", "content": "short"},
{"role": "assistant", "content": "short reply"},
{"role": "user", "content": "continue"},
]
head_end = 2
cut = c._find_tail_cut_by_tokens(messages, head_end)
# The oversized message at index 3 should NOT be the cut point
# because 1.5x ceiling = 750 tokens and accumulated would be ~610
# (short msgs + oversized msg) which is < 750
tail_size = len(messages) - cut
assert tail_size >= 3
def test_small_conversation_still_compresses(self, budget_compressor):
"""With the new min of 8 messages (head=2 + 3 + 1 guard + 2 middle),
a small but compressible conversation should still compress."""
c = budget_compressor
# 9 messages: head(2) + 4 middle + 3 tail = compressible
messages = []
for i in range(9):
role = "user" if i % 2 == 0 else "assistant"
messages.append({"role": role, "content": f"Message {i}"})
# Should not early-return (needs > protect_first_n + 3 + 1 = 6)
# Mock the summary generation to avoid real API call
with patch.object(c, "_generate_summary", return_value="Summary of conversation"):
result = c.compress(messages, current_tokens=90_000)
# Should have compressed (fewer messages than original)
assert len(result) < len(messages)
def test_prune_with_token_budget(self, budget_compressor):
"""_prune_old_tool_results with protect_tail_tokens respects the budget."""
c = budget_compressor
messages = [
{"role": "user", "content": "start"},
{"role": "assistant", "content": None,
"tool_calls": [{"function": {"name": "read_file", "arguments": '{"path": "big.txt"}'}}]},
{"role": "tool", "content": "x" * 10000, "tool_call_id": "c1"}, # ~2500 tokens
{"role": "assistant", "content": None,
"tool_calls": [{"function": {"name": "read_file", "arguments": '{"path": "small.txt"}'}}]},
{"role": "tool", "content": "y" * 10000, "tool_call_id": "c2"}, # ~2500 tokens
{"role": "user", "content": "short recent message"},
{"role": "assistant", "content": "short reply"},
]
# With a 1000-token budget, only the last couple messages should be protected
result, pruned = c._prune_old_tool_results(
messages, protect_tail_count=2, protect_tail_tokens=1000,
)
# At least one old tool result should have been pruned
assert pruned >= 1
def test_prune_without_token_budget_uses_message_count(self, budget_compressor):
"""Without protect_tail_tokens, falls back to message-count behavior."""
c = budget_compressor
messages = [
{"role": "user", "content": "start"},
{"role": "assistant", "content": None,
"tool_calls": [{"function": {"name": "tool", "arguments": "{}"}}]},
{"role": "tool", "content": "x" * 5000, "tool_call_id": "c1"},
{"role": "user", "content": "recent"},
{"role": "assistant", "content": "reply"},
]
# protect_tail_count=3 means last 3 messages protected
result, pruned = c._prune_old_tool_results(
messages, protect_tail_count=3,
)
# Tool at index 2 is outside the protected tail (last 3 = indices 2,3,4)
# so it might or might not be pruned depending on boundary
assert isinstance(pruned, int)
-36
View File
@@ -214,42 +214,6 @@ def test_exhausted_entry_resets_after_ttl(tmp_path, monkeypatch):
assert entry.last_status == "ok"
def test_exhausted_402_entry_resets_after_one_hour(tmp_path, monkeypatch):
"""402-exhausted credentials recover after 1 hour, not 24."""
monkeypatch.setenv("HERMES_HOME", str(tmp_path / "hermes"))
_write_auth_store(
tmp_path,
{
"version": 1,
"credential_pool": {
"openrouter": [
{
"id": "cred-1",
"label": "primary",
"auth_type": "api_key",
"priority": 0,
"source": "manual",
"access_token": "***",
"base_url": "https://openrouter.ai/api/v1",
"last_status": "exhausted",
"last_status_at": time.time() - 3700, # ~1h2m ago
"last_error_code": 402,
}
]
},
},
)
from agent.credential_pool import load_pool
pool = load_pool("openrouter")
entry = pool.select()
assert entry is not None
assert entry.id == "cred-1"
assert entry.last_status == "ok"
def test_explicit_reset_timestamp_overrides_default_429_ttl(tmp_path, monkeypatch):
monkeypatch.setenv("HERMES_HOME", str(tmp_path / "hermes"))
_write_auth_store(
-782
View File
@@ -1,782 +0,0 @@
"""Tests for agent.error_classifier — structured API error classification."""
import pytest
from agent.error_classifier import (
ClassifiedError,
FailoverReason,
classify_api_error,
_extract_status_code,
_extract_error_body,
_extract_error_code,
_classify_402,
)
# ── Helper: mock API errors ────────────────────────────────────────────
class MockAPIError(Exception):
"""Simulates an OpenAI SDK APIStatusError."""
def __init__(self, message, status_code=None, body=None):
super().__init__(message)
self.status_code = status_code
self.body = body or {}
class MockTransportError(Exception):
"""Simulates a transport-level error with a specific type name."""
pass
class ReadTimeout(MockTransportError):
pass
class ConnectError(MockTransportError):
pass
class RemoteProtocolError(MockTransportError):
pass
class ServerDisconnectedError(MockTransportError):
pass
# ── Test: FailoverReason enum ──────────────────────────────────────────
class TestFailoverReason:
def test_all_reasons_have_string_values(self):
for reason in FailoverReason:
assert isinstance(reason.value, str)
def test_enum_members_exist(self):
expected = {
"auth", "auth_permanent", "billing", "rate_limit",
"overloaded", "server_error", "timeout",
"context_overflow", "payload_too_large",
"model_not_found", "format_error",
"thinking_signature", "long_context_tier", "unknown",
}
actual = {r.value for r in FailoverReason}
assert expected == actual
# ── Test: ClassifiedError ──────────────────────────────────────────────
class TestClassifiedError:
def test_is_auth_property(self):
e1 = ClassifiedError(reason=FailoverReason.auth)
assert e1.is_auth is True
e2 = ClassifiedError(reason=FailoverReason.auth_permanent)
assert e2.is_auth is True
e3 = ClassifiedError(reason=FailoverReason.billing)
assert e3.is_auth is False
def test_is_transient_property(self):
transient_reasons = [
FailoverReason.rate_limit,
FailoverReason.overloaded,
FailoverReason.server_error,
FailoverReason.timeout,
FailoverReason.unknown,
]
for reason in transient_reasons:
e = ClassifiedError(reason=reason)
assert e.is_transient is True, f"{reason} should be transient"
non_transient = [
FailoverReason.auth,
FailoverReason.billing,
FailoverReason.model_not_found,
FailoverReason.format_error,
]
for reason in non_transient:
e = ClassifiedError(reason=reason)
assert e.is_transient is False, f"{reason} should NOT be transient"
def test_defaults(self):
e = ClassifiedError(reason=FailoverReason.unknown)
assert e.retryable is True
assert e.should_compress is False
assert e.should_rotate_credential is False
assert e.should_fallback is False
assert e.status_code is None
assert e.message == ""
# ── Test: Status code extraction ───────────────────────────────────────
class TestExtractStatusCode:
def test_from_status_code_attr(self):
e = MockAPIError("fail", status_code=429)
assert _extract_status_code(e) == 429
def test_from_status_attr(self):
class ErrWithStatus(Exception):
status = 503
assert _extract_status_code(ErrWithStatus()) == 503
def test_from_cause_chain(self):
inner = MockAPIError("inner", status_code=401)
outer = Exception("outer")
outer.__cause__ = inner
assert _extract_status_code(outer) == 401
def test_none_when_missing(self):
assert _extract_status_code(Exception("generic")) is None
def test_rejects_non_http_status(self):
"""Integers outside 100-599 on .status should be ignored."""
class ErrWeirdStatus(Exception):
status = 42
assert _extract_status_code(ErrWeirdStatus()) is None
# ── Test: Error body extraction ────────────────────────────────────────
class TestExtractErrorBody:
def test_from_body_attr(self):
e = MockAPIError("fail", body={"error": {"message": "bad"}})
assert _extract_error_body(e) == {"error": {"message": "bad"}}
def test_empty_when_no_body(self):
assert _extract_error_body(Exception("generic")) == {}
# ── Test: Error code extraction ────────────────────────────────────────
class TestExtractErrorCode:
def test_from_nested_error_code(self):
body = {"error": {"code": "rate_limit_exceeded"}}
assert _extract_error_code(body) == "rate_limit_exceeded"
def test_from_nested_error_type(self):
body = {"error": {"type": "invalid_request_error"}}
assert _extract_error_code(body) == "invalid_request_error"
def test_from_top_level_code(self):
body = {"code": "model_not_found"}
assert _extract_error_code(body) == "model_not_found"
def test_empty_when_no_code(self):
assert _extract_error_code({}) == ""
assert _extract_error_code({"error": {"message": "oops"}}) == ""
# ── Test: 402 disambiguation ───────────────────────────────────────────
class TestClassify402:
"""The critical 402 billing vs rate_limit disambiguation."""
def test_billing_exhaustion(self):
"""Plain 402 = billing."""
result = _classify_402(
"payment required",
lambda reason, **kw: ClassifiedError(reason=reason, **kw),
)
assert result.reason == FailoverReason.billing
assert result.should_rotate_credential is True
def test_transient_usage_limit(self):
"""402 with 'usage limit' + 'try again' = rate limit, not billing."""
result = _classify_402(
"usage limit exceeded. try again in 5 minutes",
lambda reason, **kw: ClassifiedError(reason=reason, **kw),
)
assert result.reason == FailoverReason.rate_limit
assert result.should_rotate_credential is True
def test_quota_with_retry(self):
"""402 with 'quota' + 'retry' = rate limit."""
result = _classify_402(
"quota exceeded, please retry after the window resets",
lambda reason, **kw: ClassifiedError(reason=reason, **kw),
)
assert result.reason == FailoverReason.rate_limit
def test_quota_without_retry(self):
"""402 with just 'quota' but no transient signal = billing."""
result = _classify_402(
"quota exceeded",
lambda reason, **kw: ClassifiedError(reason=reason, **kw),
)
assert result.reason == FailoverReason.billing
def test_insufficient_credits(self):
result = _classify_402(
"insufficient credits to complete request",
lambda reason, **kw: ClassifiedError(reason=reason, **kw),
)
assert result.reason == FailoverReason.billing
# ── Test: Full classification pipeline ─────────────────────────────────
class TestClassifyApiError:
"""End-to-end classification tests."""
# ── Auth errors ──
def test_401_classified_as_auth(self):
e = MockAPIError("Unauthorized", status_code=401)
result = classify_api_error(e, provider="openrouter")
assert result.reason == FailoverReason.auth
assert result.should_rotate_credential is True
# 401 is non-retryable on its own — credential rotation runs
# before the retryability check in the agent loop.
assert result.retryable is False
assert result.should_fallback is True
def test_403_classified_as_auth(self):
e = MockAPIError("Forbidden", status_code=403)
result = classify_api_error(e, provider="anthropic")
assert result.reason == FailoverReason.auth
assert result.should_fallback is True
def test_403_key_limit_classified_as_billing(self):
"""OpenRouter 403 'key limit exceeded' is billing, not auth."""
e = MockAPIError("Key limit exceeded for this key", status_code=403)
result = classify_api_error(e, provider="openrouter")
assert result.reason == FailoverReason.billing
assert result.should_rotate_credential is True
assert result.should_fallback is True
def test_403_spending_limit_classified_as_billing(self):
e = MockAPIError("spending limit reached", status_code=403)
result = classify_api_error(e, provider="openrouter")
assert result.reason == FailoverReason.billing
# ── Billing ──
def test_402_plain_billing(self):
e = MockAPIError("Payment Required", status_code=402)
result = classify_api_error(e)
assert result.reason == FailoverReason.billing
assert result.retryable is False
def test_402_transient_usage_limit(self):
e = MockAPIError("usage limit exceeded, try again later", status_code=402)
result = classify_api_error(e)
assert result.reason == FailoverReason.rate_limit
assert result.retryable is True
# ── Rate limit ──
def test_429_rate_limit(self):
e = MockAPIError("Too Many Requests", status_code=429)
result = classify_api_error(e)
assert result.reason == FailoverReason.rate_limit
assert result.should_fallback is True
# ── Server errors ──
def test_500_server_error(self):
e = MockAPIError("Internal Server Error", status_code=500)
result = classify_api_error(e)
assert result.reason == FailoverReason.server_error
assert result.retryable is True
def test_502_server_error(self):
e = MockAPIError("Bad Gateway", status_code=502)
result = classify_api_error(e)
assert result.reason == FailoverReason.server_error
def test_503_overloaded(self):
e = MockAPIError("Service Unavailable", status_code=503)
result = classify_api_error(e)
assert result.reason == FailoverReason.overloaded
def test_529_anthropic_overloaded(self):
e = MockAPIError("Overloaded", status_code=529)
result = classify_api_error(e)
assert result.reason == FailoverReason.overloaded
# ── Model not found ──
def test_404_model_not_found(self):
e = MockAPIError("model not found", status_code=404)
result = classify_api_error(e)
assert result.reason == FailoverReason.model_not_found
assert result.should_fallback is True
assert result.retryable is False
def test_404_generic(self):
e = MockAPIError("Not Found", status_code=404)
result = classify_api_error(e)
assert result.reason == FailoverReason.model_not_found
# ── Payload too large ──
def test_413_payload_too_large(self):
e = MockAPIError("Request Entity Too Large", status_code=413)
result = classify_api_error(e)
assert result.reason == FailoverReason.payload_too_large
assert result.should_compress is True
# ── Context overflow ──
def test_400_context_length(self):
e = MockAPIError("context length exceeded: 250000 > 200000", status_code=400)
result = classify_api_error(e)
assert result.reason == FailoverReason.context_overflow
assert result.should_compress is True
def test_400_too_many_tokens(self):
e = MockAPIError("This model's maximum context is 128000 tokens, too many tokens", status_code=400)
result = classify_api_error(e)
assert result.reason == FailoverReason.context_overflow
def test_400_prompt_too_long(self):
e = MockAPIError("prompt is too long: 300000 tokens > 200000 maximum", status_code=400)
result = classify_api_error(e)
assert result.reason == FailoverReason.context_overflow
def test_400_generic_large_session(self):
"""Generic 400 with large session → context overflow heuristic."""
e = MockAPIError(
"Error",
status_code=400,
body={"error": {"message": "Error"}},
)
result = classify_api_error(e, approx_tokens=100000, context_length=200000)
assert result.reason == FailoverReason.context_overflow
def test_400_generic_small_session_is_format_error(self):
"""Generic 400 with small session → format error, not context overflow."""
e = MockAPIError(
"Error",
status_code=400,
body={"error": {"message": "Error"}},
)
result = classify_api_error(e, approx_tokens=1000, context_length=200000)
assert result.reason == FailoverReason.format_error
# ── Server disconnect + large session ──
def test_disconnect_large_session_context_overflow(self):
"""Server disconnect with large session → context overflow."""
e = Exception("server disconnected without sending complete message")
result = classify_api_error(e, approx_tokens=150000, context_length=200000)
assert result.reason == FailoverReason.context_overflow
assert result.should_compress is True
def test_disconnect_small_session_timeout(self):
"""Server disconnect with small session → timeout."""
e = Exception("server disconnected without sending complete message")
result = classify_api_error(e, approx_tokens=5000, context_length=200000)
assert result.reason == FailoverReason.timeout
# ── Provider-specific: Anthropic thinking signature ──
def test_anthropic_thinking_signature(self):
e = MockAPIError(
"thinking block has invalid signature",
status_code=400,
)
result = classify_api_error(e, provider="anthropic")
assert result.reason == FailoverReason.thinking_signature
assert result.retryable is True
def test_non_anthropic_400_with_signature_not_classified_as_thinking(self):
"""400 with 'signature' but from non-Anthropic → format error."""
e = MockAPIError("invalid signature", status_code=400)
result = classify_api_error(e, provider="openrouter", approx_tokens=0)
# Without "thinking" in the message, it shouldn't be thinking_signature
assert result.reason != FailoverReason.thinking_signature
# ── Provider-specific: Anthropic long-context tier ──
def test_anthropic_long_context_tier(self):
e = MockAPIError(
"Extra usage is required for long context requests over 200k tokens",
status_code=429,
)
result = classify_api_error(e, provider="anthropic", model="claude-sonnet-4")
assert result.reason == FailoverReason.long_context_tier
assert result.should_compress is True
def test_normal_429_not_long_context(self):
"""Normal 429 without 'extra usage' + 'long context' → rate_limit."""
e = MockAPIError("Too Many Requests", status_code=429)
result = classify_api_error(e, provider="anthropic")
assert result.reason == FailoverReason.rate_limit
# ── Transport errors ──
def test_read_timeout(self):
e = ReadTimeout("Read timed out")
result = classify_api_error(e)
assert result.reason == FailoverReason.timeout
assert result.retryable is True
def test_connect_error(self):
e = ConnectError("Connection refused")
result = classify_api_error(e)
assert result.reason == FailoverReason.timeout
def test_connection_error_builtin(self):
e = ConnectionError("Connection reset by peer")
result = classify_api_error(e)
assert result.reason == FailoverReason.timeout
def test_timeout_error_builtin(self):
e = TimeoutError("timed out")
result = classify_api_error(e)
assert result.reason == FailoverReason.timeout
# ── Error code classification ──
def test_error_code_resource_exhausted(self):
e = MockAPIError(
"Resource exhausted",
body={"error": {"code": "resource_exhausted", "message": "Too many requests"}},
)
result = classify_api_error(e)
assert result.reason == FailoverReason.rate_limit
def test_error_code_model_not_found(self):
e = MockAPIError(
"Model not available",
body={"error": {"code": "model_not_found"}},
)
result = classify_api_error(e)
assert result.reason == FailoverReason.model_not_found
def test_error_code_context_length_exceeded(self):
e = MockAPIError(
"Context too large",
body={"error": {"code": "context_length_exceeded"}},
)
result = classify_api_error(e)
assert result.reason == FailoverReason.context_overflow
# ── Message-only patterns (no status code) ──
def test_message_billing_pattern(self):
e = Exception("insufficient credits to complete this request")
result = classify_api_error(e)
assert result.reason == FailoverReason.billing
def test_message_rate_limit_pattern(self):
e = Exception("rate limit reached for this model")
result = classify_api_error(e)
assert result.reason == FailoverReason.rate_limit
def test_message_auth_pattern(self):
e = Exception("invalid api key provided")
result = classify_api_error(e)
assert result.reason == FailoverReason.auth
def test_message_model_not_found_pattern(self):
e = Exception("gpt-99 is not a valid model")
result = classify_api_error(e)
assert result.reason == FailoverReason.model_not_found
def test_message_context_overflow_pattern(self):
e = Exception("maximum context length exceeded")
result = classify_api_error(e)
assert result.reason == FailoverReason.context_overflow
# ── Unknown / fallback ──
def test_generic_exception_is_unknown(self):
e = Exception("something weird happened")
result = classify_api_error(e)
assert result.reason == FailoverReason.unknown
assert result.retryable is True
# ── Format error ──
def test_400_descriptive_format_error(self):
"""400 with descriptive message (not context overflow) → format error."""
e = MockAPIError(
"Invalid value for parameter 'temperature': must be between 0 and 2",
status_code=400,
body={"error": {"message": "Invalid value for parameter 'temperature': must be between 0 and 2"}},
)
result = classify_api_error(e, approx_tokens=1000)
assert result.reason == FailoverReason.format_error
assert result.retryable is False
def test_422_format_error(self):
e = MockAPIError("Unprocessable Entity", status_code=422)
result = classify_api_error(e)
assert result.reason == FailoverReason.format_error
assert result.retryable is False
def test_400_flat_body_descriptive_not_context_overflow(self):
"""Responses API flat body with descriptive error + large session → format error.
The Codex Responses API returns errors in flat body format:
{"message": "...", "type": "..."} without an "error" wrapper.
A descriptive 400 must NOT be misclassified as context overflow
just because the session is large.
"""
e = MockAPIError(
"Invalid 'input[index].name': string does not match pattern.",
status_code=400,
body={"message": "Invalid 'input[index].name': string does not match pattern.",
"type": "invalid_request_error"},
)
result = classify_api_error(e, approx_tokens=200000, context_length=400000, num_messages=500)
assert result.reason == FailoverReason.format_error
assert result.retryable is False
def test_400_flat_body_generic_large_session_still_context_overflow(self):
"""Flat body with generic 'Error' message + large session → context overflow.
Regression: the flat-body fallback must not break the existing heuristic
for genuinely generic errors from providers that use flat bodies.
"""
e = MockAPIError(
"Error",
status_code=400,
body={"message": "Error"},
)
result = classify_api_error(e, approx_tokens=100000, context_length=200000)
assert result.reason == FailoverReason.context_overflow
# ── Peer closed + large session ──
def test_peer_closed_large_session(self):
e = Exception("peer closed connection without sending complete message")
result = classify_api_error(e, approx_tokens=130000, context_length=200000)
assert result.reason == FailoverReason.context_overflow
# ── Chinese error messages ──
def test_chinese_context_overflow(self):
e = MockAPIError("超过最大长度限制", status_code=400)
result = classify_api_error(e)
assert result.reason == FailoverReason.context_overflow
# ── Result metadata ──
def test_provider_and_model_in_result(self):
e = MockAPIError("fail", status_code=500)
result = classify_api_error(e, provider="openrouter", model="gpt-5")
assert result.provider == "openrouter"
assert result.model == "gpt-5"
assert result.status_code == 500
def test_message_extracted(self):
e = MockAPIError(
"outer",
status_code=500,
body={"error": {"message": "Internal server error occurred"}},
)
result = classify_api_error(e)
assert result.message == "Internal server error occurred"
# ── Test: Adversarial / edge cases (from live testing) ─────────────────
class TestAdversarialEdgeCases:
"""Edge cases discovered during live testing with real SDK objects."""
def test_empty_exception_message(self):
result = classify_api_error(Exception(""))
assert result.reason == FailoverReason.unknown
assert result.retryable is True
def test_500_with_none_body(self):
e = MockAPIError("fail", status_code=500, body=None)
result = classify_api_error(e)
assert result.reason == FailoverReason.server_error
def test_non_dict_body(self):
"""Some providers return strings instead of JSON."""
class StringBodyError(Exception):
status_code = 400
body = "just a string"
result = classify_api_error(StringBodyError("bad"))
assert result.reason == FailoverReason.format_error
def test_list_body(self):
class ListBodyError(Exception):
status_code = 500
body = [{"error": "something"}]
result = classify_api_error(ListBodyError("server error"))
assert result.reason == FailoverReason.server_error
def test_circular_cause_chain(self):
"""Must not infinite-loop on circular __cause__."""
e = Exception("circular")
e.__cause__ = e
result = classify_api_error(e)
assert result.reason == FailoverReason.unknown
def test_three_level_cause_chain(self):
inner = MockAPIError("inner", status_code=429)
middle = Exception("middle")
middle.__cause__ = inner
outer = RuntimeError("outer")
outer.__cause__ = middle
result = classify_api_error(outer)
assert result.status_code == 429
assert result.reason == FailoverReason.rate_limit
def test_400_with_rate_limit_text(self):
"""Some providers send rate limits as 400 instead of 429."""
e = MockAPIError(
"rate limit policy",
status_code=400,
body={"error": {"message": "rate limit exceeded on this model"}},
)
result = classify_api_error(e, provider="openrouter")
assert result.reason == FailoverReason.rate_limit
def test_400_with_billing_text(self):
"""Some providers send billing errors as 400."""
e = MockAPIError(
"billing",
status_code=400,
body={"error": {"message": "insufficient credits for this request"}},
)
result = classify_api_error(e)
assert result.reason == FailoverReason.billing
def test_200_with_error_body(self):
"""200 status with error in body — should be unknown, not crash."""
class WeirdSuccess(Exception):
status_code = 200
body = {"error": {"message": "loading"}}
result = classify_api_error(WeirdSuccess("model loading"))
assert result.reason == FailoverReason.unknown
def test_ollama_context_size_exceeded(self):
e = MockAPIError(
"Error",
status_code=400,
body={"error": {"message": "context size has been exceeded"}},
)
result = classify_api_error(e, provider="ollama")
assert result.reason == FailoverReason.context_overflow
def test_connection_refused_error(self):
e = ConnectionRefusedError("Connection refused: localhost:11434")
result = classify_api_error(e, provider="ollama")
assert result.reason == FailoverReason.timeout
def test_body_message_enrichment(self):
"""Body message must be included in pattern matching even when
str(error) doesn't contain it (OpenAI SDK APIStatusError)."""
e = MockAPIError(
"Usage limit", # str(e) = "usage limit"
status_code=402,
body={"error": {"message": "Usage limit reached, try again in 5 minutes"}},
)
result = classify_api_error(e)
# "try again" is only in body, not in str(e)
assert result.reason == FailoverReason.rate_limit
def test_disconnect_pattern_ordering(self):
"""Disconnect + large session must beat generic transport catch."""
class FakeRemoteProtocol(Exception):
pass
# Type name isn't in _TRANSPORT_ERROR_TYPES but message has disconnect pattern
e = Exception("peer closed connection without sending complete message")
result = classify_api_error(e, approx_tokens=150000, context_length=200000)
assert result.reason == FailoverReason.context_overflow
assert result.should_compress is True
def test_credit_balance_too_low(self):
e = MockAPIError(
"Credits low",
status_code=402,
body={"error": {"message": "Your credit balance is too low"}},
)
result = classify_api_error(e, provider="anthropic")
assert result.reason == FailoverReason.billing
def test_deepseek_402_chinese(self):
"""Chinese billing message should still match billing patterns."""
# "余额不足" doesn't match English billing patterns, but 402 defaults to billing
e = MockAPIError("余额不足", status_code=402)
result = classify_api_error(e, provider="deepseek")
assert result.reason == FailoverReason.billing
def test_openrouter_wrapped_context_overflow_in_metadata_raw(self):
"""OpenRouter wraps provider errors in metadata.raw JSON string."""
e = MockAPIError(
"Provider returned error",
status_code=400,
body={
"error": {
"message": "Provider returned error",
"code": 400,
"metadata": {
"raw": '{"error":{"message":"context length exceeded: 50000 > 32768"}}'
}
}
},
)
result = classify_api_error(e, provider="openrouter", approx_tokens=10000)
assert result.reason == FailoverReason.context_overflow
assert result.should_compress is True
def test_openrouter_wrapped_rate_limit_in_metadata_raw(self):
e = MockAPIError(
"Provider returned error",
status_code=400,
body={
"error": {
"message": "Provider returned error",
"metadata": {
"raw": '{"error":{"message":"Rate limit exceeded. Please retry after 30s."}}'
}
}
},
)
result = classify_api_error(e, provider="openrouter")
assert result.reason == FailoverReason.rate_limit
def test_thinking_signature_via_openrouter(self):
"""Thinking signature errors proxied through OpenRouter must be caught."""
e = MockAPIError(
"thinking block has invalid signature",
status_code=400,
)
# provider is openrouter, not anthropic — old code missed this
result = classify_api_error(e, provider="openrouter", model="anthropic/claude-sonnet-4")
assert result.reason == FailoverReason.thinking_signature
def test_generic_400_large_by_message_count(self):
"""Many small messages (>80) should trigger context overflow heuristic."""
e = MockAPIError(
"Error",
status_code=400,
body={"error": {"message": "Error"}},
)
# Low token count but high message count
result = classify_api_error(
e, approx_tokens=5000, context_length=200000, num_messages=100,
)
assert result.reason == FailoverReason.context_overflow
def test_disconnect_large_by_message_count(self):
"""Server disconnect with 200+ messages should trigger context overflow."""
e = Exception("server disconnected without sending complete message")
result = classify_api_error(
e, approx_tokens=5000, context_length=200000, num_messages=250,
)
assert result.reason == FailoverReason.context_overflow
def test_openrouter_wrapped_model_not_found_in_metadata_raw(self):
e = MockAPIError(
"Provider returned error",
status_code=400,
body={
"error": {
"message": "Provider returned error",
"metadata": {
"raw": '{"error":{"message":"The model gpt-99 does not exist"}}'
}
}
},
)
result = classify_api_error(e, provider="openrouter")
assert result.reason == FailoverReason.model_not_found
-42
View File
@@ -1,42 +0,0 @@
"""Tests for MiniMax auxiliary client URL normalization.
MiniMax and MiniMax-CN set inference_base_url to the /anthropic path.
The auxiliary client uses the OpenAI SDK, which needs /v1 instead.
"""
import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from agent.auxiliary_client import _to_openai_base_url
class TestToOpenaiBaseUrl:
def test_minimax_global_anthropic_suffix_replaced(self):
assert _to_openai_base_url("https://api.minimax.io/anthropic") == "https://api.minimax.io/v1"
def test_minimax_cn_anthropic_suffix_replaced(self):
assert _to_openai_base_url("https://api.minimaxi.com/anthropic") == "https://api.minimaxi.com/v1"
def test_trailing_slash_stripped_before_replace(self):
assert _to_openai_base_url("https://api.minimax.io/anthropic/") == "https://api.minimax.io/v1"
def test_v1_url_unchanged(self):
assert _to_openai_base_url("https://api.openai.com/v1") == "https://api.openai.com/v1"
def test_openrouter_url_unchanged(self):
assert _to_openai_base_url("https://openrouter.ai/api/v1") == "https://openrouter.ai/api/v1"
def test_anthropic_domain_unchanged(self):
"""api.anthropic.com doesn't end with /anthropic — should be untouched."""
assert _to_openai_base_url("https://api.anthropic.com") == "https://api.anthropic.com"
def test_anthropic_in_subpath_unchanged(self):
assert _to_openai_base_url("https://example.com/anthropic/extra") == "https://example.com/anthropic/extra"
def test_empty_string(self):
assert _to_openai_base_url("") == ""
def test_none(self):
assert _to_openai_base_url(None) == ""
-105
View File
@@ -1,105 +0,0 @@
"""Tests for MiniMax provider hardening — context lengths, thinking guard, catalog."""
class TestMinimaxContextLengths:
"""Verify per-model context length entries for MiniMax models."""
def test_m1_variants_have_1m_context(self):
from agent.model_metadata import DEFAULT_CONTEXT_LENGTHS
# Keys are lowercase because the lookup lowercases model names
for model in ("minimax-m1", "minimax-m1-40k", "minimax-m1-80k",
"minimax-m1-128k", "minimax-m1-256k"):
assert model in DEFAULT_CONTEXT_LENGTHS, f"{model} missing from context lengths"
assert DEFAULT_CONTEXT_LENGTHS[model] == 1_000_000, f"{model} expected 1M"
def test_m2_variants_have_1m_context(self):
from agent.model_metadata import DEFAULT_CONTEXT_LENGTHS
# Keys are lowercase because the lookup lowercases model names
for model in ("minimax-m2.5", "minimax-m2.7"):
assert model in DEFAULT_CONTEXT_LENGTHS, f"{model} missing from context lengths"
assert DEFAULT_CONTEXT_LENGTHS[model] == 1_048_576, f"{model} expected 1048576"
def test_minimax_prefix_fallback(self):
from agent.model_metadata import DEFAULT_CONTEXT_LENGTHS
# The generic "minimax" prefix entry should be 1M for unknown models
assert DEFAULT_CONTEXT_LENGTHS["minimax"] == 1_048_576
class TestMinimaxThinkingGuard:
"""Verify that build_anthropic_kwargs does NOT add thinking params for MiniMax models."""
def test_no_thinking_for_minimax_m27(self):
from agent.anthropic_adapter import build_anthropic_kwargs
kwargs = build_anthropic_kwargs(
model="MiniMax-M2.7",
messages=[{"role": "user", "content": "hello"}],
tools=None,
max_tokens=4096,
reasoning_config={"enabled": True, "effort": "medium"},
)
assert "thinking" not in kwargs
assert "output_config" not in kwargs
def test_no_thinking_for_minimax_m1(self):
from agent.anthropic_adapter import build_anthropic_kwargs
kwargs = build_anthropic_kwargs(
model="MiniMax-M1-128k",
messages=[{"role": "user", "content": "hello"}],
tools=None,
max_tokens=4096,
reasoning_config={"enabled": True, "effort": "high"},
)
assert "thinking" not in kwargs
def test_thinking_still_works_for_claude(self):
from agent.anthropic_adapter import build_anthropic_kwargs
kwargs = build_anthropic_kwargs(
model="claude-sonnet-4-20250514",
messages=[{"role": "user", "content": "hello"}],
tools=None,
max_tokens=4096,
reasoning_config={"enabled": True, "effort": "medium"},
)
assert "thinking" in kwargs
class TestMinimaxAuxModel:
"""Verify auxiliary model is standard (not highspeed)."""
def test_minimax_aux_is_standard(self):
from agent.auxiliary_client import _API_KEY_PROVIDER_AUX_MODELS
assert _API_KEY_PROVIDER_AUX_MODELS["minimax"] == "MiniMax-M2.7"
assert _API_KEY_PROVIDER_AUX_MODELS["minimax-cn"] == "MiniMax-M2.7"
def test_minimax_aux_not_highspeed(self):
from agent.auxiliary_client import _API_KEY_PROVIDER_AUX_MODELS
assert "highspeed" not in _API_KEY_PROVIDER_AUX_MODELS["minimax"]
assert "highspeed" not in _API_KEY_PROVIDER_AUX_MODELS["minimax-cn"]
class TestMinimaxModelCatalog:
"""Verify the model catalog includes M1 family and excludes deprecated models."""
def test_catalog_includes_m1_family(self):
from hermes_cli.models import _PROVIDER_MODELS
for provider in ("minimax", "minimax-cn"):
models = _PROVIDER_MODELS[provider]
assert "MiniMax-M1" in models
assert "MiniMax-M1-40k" in models
assert "MiniMax-M1-80k" in models
assert "MiniMax-M1-128k" in models
assert "MiniMax-M1-256k" in models
def test_catalog_excludes_deprecated(self):
from hermes_cli.models import _PROVIDER_MODELS
for provider in ("minimax", "minimax-cn"):
models = _PROVIDER_MODELS[provider]
assert "MiniMax-M2.1" not in models
def test_catalog_excludes_highspeed(self):
from hermes_cli.models import _PROVIDER_MODELS
for provider in ("minimax", "minimax-cn"):
models = _PROVIDER_MODELS[provider]
assert "MiniMax-M2.7-highspeed" not in models
assert "MiniMax-M2.5-highspeed" not in models
-212
View File
@@ -1,212 +0,0 @@
"""Tests for agent.rate_limit_tracker — header parsing and formatting."""
import time
import pytest
from agent.rate_limit_tracker import (
RateLimitBucket,
RateLimitState,
parse_rate_limit_headers,
format_rate_limit_display,
format_rate_limit_compact,
_fmt_count,
_fmt_seconds,
_bar,
)
# ── Sample headers from Nous inference API ──────────────────────────────
NOUS_HEADERS = {
"x-ratelimit-limit-requests": "800",
"x-ratelimit-limit-requests-1h": "33600",
"x-ratelimit-limit-tokens": "8000000",
"x-ratelimit-limit-tokens-1h": "336000000",
"x-ratelimit-remaining-requests": "795",
"x-ratelimit-remaining-requests-1h": "33590",
"x-ratelimit-remaining-tokens": "7999500",
"x-ratelimit-remaining-tokens-1h": "335999000",
"x-ratelimit-reset-requests": "45.5",
"x-ratelimit-reset-requests-1h": "3500.0",
"x-ratelimit-reset-tokens": "42.3",
"x-ratelimit-reset-tokens-1h": "3490.0",
}
class TestParseHeaders:
def test_basic_parsing(self):
state = parse_rate_limit_headers(NOUS_HEADERS, provider="nous")
assert state is not None
assert state.provider == "nous"
assert state.has_data
assert state.requests_min.limit == 800
assert state.requests_min.remaining == 795
assert state.requests_min.reset_seconds == 45.5
assert state.requests_hour.limit == 33600
assert state.requests_hour.remaining == 33590
assert state.tokens_min.limit == 8000000
assert state.tokens_min.remaining == 7999500
assert state.tokens_hour.limit == 336000000
assert state.tokens_hour.remaining == 335999000
assert state.tokens_hour.reset_seconds == 3490.0
def test_no_headers(self):
state = parse_rate_limit_headers({})
assert state is None
def test_partial_headers(self):
headers = {
"x-ratelimit-limit-requests": "100",
"x-ratelimit-remaining-requests": "50",
}
state = parse_rate_limit_headers(headers)
assert state is not None
assert state.requests_min.limit == 100
assert state.requests_min.remaining == 50
# Missing fields default to 0
assert state.tokens_min.limit == 0
def test_non_rate_limit_headers_ignored(self):
headers = {
"content-type": "application/json",
"server": "nginx",
}
state = parse_rate_limit_headers(headers)
assert state is None
def test_malformed_values(self):
headers = {
"x-ratelimit-limit-requests": "not-a-number",
"x-ratelimit-remaining-requests": "",
"x-ratelimit-reset-requests": "abc",
}
state = parse_rate_limit_headers(headers)
assert state is not None
assert state.requests_min.limit == 0
assert state.requests_min.remaining == 0
assert state.requests_min.reset_seconds == 0.0
class TestBucket:
def test_used(self):
b = RateLimitBucket(limit=800, remaining=795, reset_seconds=45.0, captured_at=time.time())
assert b.used == 5
def test_usage_pct(self):
b = RateLimitBucket(limit=100, remaining=20, reset_seconds=30.0, captured_at=time.time())
assert b.usage_pct == pytest.approx(80.0)
def test_usage_pct_zero_limit(self):
b = RateLimitBucket(limit=0, remaining=0)
assert b.usage_pct == 0.0
def test_remaining_seconds_now(self):
now = time.time()
b = RateLimitBucket(limit=800, remaining=795, reset_seconds=60.0, captured_at=now - 10)
# ~50 seconds should remain
assert 49 <= b.remaining_seconds_now <= 51
def test_remaining_seconds_expired(self):
b = RateLimitBucket(limit=800, remaining=795, reset_seconds=30.0, captured_at=time.time() - 60)
assert b.remaining_seconds_now == 0.0
class TestFormatting:
def test_fmt_count_millions(self):
assert _fmt_count(8000000) == "8.0M"
assert _fmt_count(336000000) == "336.0M"
def test_fmt_count_thousands(self):
assert _fmt_count(33600) == "33.6K"
assert _fmt_count(1500) == "1.5K"
def test_fmt_count_small(self):
assert _fmt_count(800) == "800"
assert _fmt_count(0) == "0"
def test_fmt_seconds_short(self):
assert _fmt_seconds(45) == "45s"
assert _fmt_seconds(0) == "0s"
def test_fmt_seconds_minutes(self):
assert _fmt_seconds(125) == "2m 5s"
assert _fmt_seconds(120) == "2m"
def test_fmt_seconds_hours(self):
assert _fmt_seconds(3660) == "1h 1m"
assert _fmt_seconds(3600) == "1h"
def test_bar(self):
bar = _bar(50.0, width=10)
assert bar == "[█████░░░░░]"
assert _bar(0.0, width=10) == "[░░░░░░░░░░]"
assert _bar(100.0, width=10) == "[██████████]"
def test_format_display_no_data(self):
state = RateLimitState()
result = format_rate_limit_display(state)
assert "No rate limit data" in result
def test_format_display_with_data(self):
state = parse_rate_limit_headers(NOUS_HEADERS, provider="nous")
result = format_rate_limit_display(state)
assert "Nous" in result
assert "Requests/min" in result
assert "Requests/hr" in result
assert "Tokens/min" in result
assert "Tokens/hr" in result
assert "resets in" in result
def test_format_display_warning_on_high_usage(self):
headers = {
**NOUS_HEADERS,
"x-ratelimit-remaining-requests": "50", # 750/800 used = 93.75%
}
state = parse_rate_limit_headers(headers)
result = format_rate_limit_display(state)
assert "" in result
def test_format_compact(self):
state = parse_rate_limit_headers(NOUS_HEADERS, provider="nous")
result = format_rate_limit_compact(state)
assert "RPM:" in result
assert "RPH:" in result
assert "TPM:" in result
assert "TPH:" in result
assert "resets" in result
def test_format_compact_no_data(self):
state = RateLimitState()
result = format_rate_limit_compact(state)
assert "No rate limit data" in result
class TestAgentIntegration:
"""Test that AIAgent captures rate limit state correctly."""
def test_capture_rate_limits_from_headers(self):
"""Simulate the header capture path without a real API call."""
import sys
import os
# Use a mock httpx-like response
class MockResponse:
headers = NOUS_HEADERS
# Import AIAgent minimally
from unittest.mock import MagicMock, patch
# Test the parsing directly
state = parse_rate_limit_headers(MockResponse.headers, provider="nous")
assert state is not None
assert state.requests_min.limit == 800
assert state.tokens_hour.limit == 336000000
def test_capture_rate_limits_none_response(self):
"""_capture_rate_limits should handle None gracefully."""
from agent.rate_limit_tracker import parse_rate_limit_headers
# None should not crash
result = parse_rate_limit_headers({})
assert result is None
-43
View File
@@ -3,7 +3,6 @@
import os
import pytest
from pathlib import Path
from unittest.mock import patch
from agent.subdirectory_hints import SubdirectoryHintTracker
@@ -190,45 +189,3 @@ class TestSubdirectoryHintTracker:
"terminal", {"command": "curl https://example.com/frontend/api"}
)
assert result is None
class TestPermissionErrorHandling:
"""Regression tests for PermissionError in filesystem checks (ref #6214)."""
def test_is_valid_subdir_permission_error(self, tmp_path):
"""_is_valid_subdir should return False when is_dir() raises PermissionError."""
tracker = SubdirectoryHintTracker(working_dir=str(tmp_path))
restricted = tmp_path / "restricted"
restricted.mkdir()
with patch.object(Path, "is_dir", side_effect=PermissionError("Permission denied")):
assert tracker._is_valid_subdir(restricted) is False
def test_load_hints_permission_error_on_is_file(self, tmp_path):
"""_load_hints_for_directory should skip files when is_file() raises PermissionError."""
tracker = SubdirectoryHintTracker(working_dir=str(tmp_path))
restricted = tmp_path / "restricted"
restricted.mkdir()
original_is_file = Path.is_file
def patched_is_file(self):
if "restricted" in str(self):
raise PermissionError("Permission denied")
return original_is_file(self)
with patch.object(Path, "is_file", patched_is_file):
result = tracker._load_hints_for_directory(restricted)
assert result is None
def test_check_tool_call_survives_inaccessible_path(self, project):
"""Full check_tool_call should not crash when a path is inaccessible."""
tracker = SubdirectoryHintTracker(working_dir=str(project))
original_is_dir = Path.is_dir
def patched_is_dir(self):
if "backend" in str(self) and "src" not in str(self):
raise PermissionError("Permission denied")
return original_is_dir(self)
with patch.object(Path, "is_dir", patched_is_dir):
# Should not raise — gracefully skip the inaccessible directory
result = tracker.check_tool_call(
"read_file", {"path": str(project / "backend" / "src" / "main.py")}
)
# Result may be None (backend skipped) — the key point is no crash
assert result is None or isinstance(result, str)
+2 -45
View File
@@ -2,65 +2,22 @@ import queue
import threading
import time
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
from unittest.mock import MagicMock
import cli as cli_module
from cli import HermesCLI
class _FakeBuffer:
def __init__(self, text="", cursor_position=None):
self.text = text
self.cursor_position = len(text) if cursor_position is None else cursor_position
def reset(self, append_to_history=False):
self.text = ""
self.cursor_position = 0
def _make_cli_stub():
cli = HermesCLI.__new__(HermesCLI)
cli._approval_state = None
cli._approval_deadline = 0
cli._approval_lock = threading.Lock()
cli._sudo_state = None
cli._sudo_deadline = 0
cli._modal_input_snapshot = None
cli._invalidate = MagicMock()
cli._app = SimpleNamespace(invalidate=MagicMock(), current_buffer=_FakeBuffer())
cli._app = SimpleNamespace(invalidate=MagicMock())
return cli
class TestCliApprovalUi:
def test_sudo_prompt_restores_existing_draft_after_response(self):
cli = _make_cli_stub()
cli._app.current_buffer = _FakeBuffer("draft command", cursor_position=5)
result = {}
def _run_callback():
result["value"] = cli._sudo_password_callback()
with patch.object(cli_module, "_cprint"):
thread = threading.Thread(target=_run_callback, daemon=True)
thread.start()
deadline = time.time() + 2
while cli._sudo_state is None and time.time() < deadline:
time.sleep(0.01)
assert cli._sudo_state is not None
assert cli._app.current_buffer.text == ""
cli._app.current_buffer.text = "secret"
cli._app.current_buffer.cursor_position = len("secret")
cli._sudo_state["response_queue"].put("secret")
thread.join(timeout=2)
assert result["value"] == "secret"
assert cli._app.current_buffer.text == "draft command"
assert cli._app.current_buffer.cursor_position == 5
def test_approval_callback_includes_view_for_long_commands(self):
cli = _make_cli_stub()
command = "sudo dd if=/tmp/githubcli-keyring.gpg of=/usr/share/keyrings/githubcli-archive-keyring.gpg bs=4M status=progress"
-1
View File
@@ -41,7 +41,6 @@ def _attach_agent(
session_completion_tokens=completion_tokens,
session_total_tokens=total_tokens,
session_api_calls=api_calls,
get_rate_limit_state=lambda: None,
context_compressor=SimpleNamespace(
last_prompt_tokens=context_tokens,
context_length=context_length,
-66
View File
@@ -1,66 +0,0 @@
import pytest
from unittest.mock import MagicMock, patch
from hermes_cli.plugins import VALID_HOOKS, PluginManager
import os
import shutil
import tempfile
from cli import HermesCLI
def test_session_hooks_in_valid_hooks():
"""Verify on_session_finalize and on_session_reset are registered as valid hooks."""
assert "on_session_finalize" in VALID_HOOKS
assert "on_session_reset" in VALID_HOOKS
@patch("hermes_cli.plugins.invoke_hook")
def test_session_finalize_on_reset(mock_invoke_hook):
"""Verify on_session_finalize fires when /new or /reset is used."""
cli = HermesCLI()
cli.agent = MagicMock()
cli.agent.session_id = "test-session-id"
# Simulate /new command which triggers on_session_finalize for the old session
cli.new_session(silent=True)
# Check if on_session_finalize was called for the old session
mock_invoke_hook.assert_any_call(
"on_session_finalize", session_id="test-session-id", platform="cli"
)
# Check if on_session_reset was called for the new session
mock_invoke_hook.assert_any_call(
"on_session_reset", session_id=cli.session_id, platform="cli"
)
@patch("hermes_cli.plugins.invoke_hook")
def test_session_finalize_on_cleanup(mock_invoke_hook):
"""Verify on_session_finalize fires during CLI exit cleanup."""
import cli as cli_mod
mock_agent = MagicMock()
mock_agent.session_id = "cleanup-session-id"
cli_mod._active_agent_ref = mock_agent
cli_mod._cleanup_done = False
cli_mod._run_cleanup()
mock_invoke_hook.assert_any_call(
"on_session_finalize", session_id="cleanup-session-id", platform="cli"
)
@patch("hermes_cli.plugins.invoke_hook")
def test_hook_errors_are_caught(mock_invoke_hook):
"""Verify hook exceptions are caught and don't crash the agent."""
mgr = PluginManager()
# Register a hook that raises
def bad_callback(**kwargs):
raise Exception("Hook failed")
mgr._hooks["on_session_finalize"] = [bad_callback]
# This should not raise
results = mgr.invoke_hook("on_session_finalize", session_id="test", platform="cli")
assert results == []
+24 -231
View File
@@ -33,13 +33,6 @@ def git_repo(tmp_path):
["git", "commit", "-m", "Initial commit"],
cwd=repo, capture_output=True,
)
# Add a fake remote ref so cleanup logic sees the initial commit as
# "pushed". Without this, `git log HEAD --not --remotes` treats every
# commit as unpushed and cleanup refuses to delete worktrees.
subprocess.run(
["git", "update-ref", "refs/remotes/origin/main", "HEAD"],
cwd=repo, capture_output=True,
)
return repo
@@ -88,11 +81,7 @@ def _setup_worktree(repo_root):
def _cleanup_worktree(info):
"""Test version of _cleanup_worktree.
Preserves the worktree only if it has unpushed commits.
Dirty working tree alone is not enough to keep it.
"""
"""Test version of _cleanup_worktree."""
wt_path = info["path"]
branch = info["branch"]
repo_root = info["repo_root"]
@@ -100,15 +89,15 @@ def _cleanup_worktree(info):
if not Path(wt_path).exists():
return
# Check for unpushed commits
result = subprocess.run(
["git", "log", "--oneline", "HEAD", "--not", "--remotes"],
# Check for uncommitted changes
status = subprocess.run(
["git", "status", "--porcelain"],
capture_output=True, text=True, timeout=10, cwd=wt_path,
)
has_unpushed = bool(result.stdout.strip())
has_changes = bool(status.stdout.strip())
if has_unpushed:
return False # Did not clean up — has unpushed commits
if has_changes:
return False # Did not clean up
subprocess.run(
["git", "worktree", "remove", wt_path, "--force"],
@@ -215,45 +204,20 @@ class TestWorktreeCleanup:
assert result is True
assert not Path(info["path"]).exists()
def test_dirty_worktree_cleaned_when_no_unpushed(self, git_repo):
"""Dirty working tree without unpushed commits is cleaned up.
Agent sessions typically leave untracked files / artifacts behind.
Since all real work is in pushed commits, these don't warrant
keeping the worktree.
"""
def test_dirty_worktree_kept(self, git_repo):
info = _setup_worktree(str(git_repo))
assert info is not None
# Make uncommitted changes (untracked file)
# Make uncommitted changes
(Path(info["path"]) / "new-file.txt").write_text("uncommitted")
subprocess.run(
["git", "add", "new-file.txt"],
cwd=info["path"], capture_output=True,
)
# The git_repo fixture already has a fake remote ref so the initial
# commit is seen as "pushed". No unpushed commits → cleanup proceeds.
result = _cleanup_worktree(info)
assert result is True # Cleaned up despite dirty working tree
assert not Path(info["path"]).exists()
def test_worktree_with_unpushed_commits_kept(self, git_repo):
"""Worktree with unpushed commits is preserved."""
info = _setup_worktree(str(git_repo))
assert info is not None
# Make a commit that is NOT on any remote
(Path(info["path"]) / "work.txt").write_text("real work")
subprocess.run(["git", "add", "work.txt"], cwd=info["path"], capture_output=True)
subprocess.run(
["git", "commit", "-m", "agent work"],
cwd=info["path"], capture_output=True,
)
result = _cleanup_worktree(info)
assert result is False # Kept — has unpushed commits
assert Path(info["path"]).exists()
assert result is False
assert Path(info["path"]).exists() # Still there
def test_branch_deleted_on_cleanup(self, git_repo):
info = _setup_worktree(str(git_repo))
@@ -403,7 +367,7 @@ class TestMultipleWorktrees:
lines = [l for l in result.stdout.strip().splitlines() if l.strip()]
assert len(lines) == 11
# Cleanup all (git_repo fixture has a fake remote ref so cleanup works)
# Cleanup all
for info in worktrees:
# Discard changes first so cleanup works
subprocess.run(
@@ -528,77 +492,33 @@ class TestStaleWorktreePruning:
assert not pruned
assert Path(info["path"]).exists()
def test_keeps_old_worktree_with_unpushed_commits(self, git_repo):
"""Old worktrees (24-72h) with unpushed commits should NOT be pruned."""
def test_keeps_dirty_old_worktree(self, git_repo):
"""Old worktrees with uncommitted changes should NOT be pruned."""
import time
info = _setup_worktree(str(git_repo))
assert info is not None
# Make an unpushed commit
(Path(info["path"]) / "work.txt").write_text("real work")
subprocess.run(["git", "add", "work.txt"], cwd=info["path"], capture_output=True)
# Make it dirty
(Path(info["path"]) / "dirty.txt").write_text("uncommitted")
subprocess.run(
["git", "commit", "-m", "agent work"],
["git", "add", "dirty.txt"],
cwd=info["path"], capture_output=True,
)
# Make it old (25h — in the 24-72h soft tier)
# Make it old
old_time = time.time() - (25 * 3600)
os.utime(info["path"], (old_time, old_time))
# Check for unpushed commits (simulates prune logic)
result = subprocess.run(
["git", "log", "--oneline", "HEAD", "--not", "--remotes"],
# Check if it would be pruned
status = subprocess.run(
["git", "status", "--porcelain"],
capture_output=True, text=True, cwd=info["path"],
)
has_unpushed = bool(result.stdout.strip())
assert has_unpushed # Has unpushed commits → not pruned in soft tier
has_changes = bool(status.stdout.strip())
assert has_changes # Should be dirty → not pruned
assert Path(info["path"]).exists()
def test_force_prunes_very_old_worktree(self, git_repo):
"""Worktrees older than 72h should be force-pruned regardless."""
import time
info = _setup_worktree(str(git_repo))
assert info is not None
# Make an unpushed commit (would normally protect it)
(Path(info["path"]) / "work.txt").write_text("stale work")
subprocess.run(["git", "add", "work.txt"], cwd=info["path"], capture_output=True)
subprocess.run(
["git", "commit", "-m", "old agent work"],
cwd=info["path"], capture_output=True,
)
# Make it very old (73h — beyond the 72h hard threshold)
old_time = time.time() - (73 * 3600)
os.utime(info["path"], (old_time, old_time))
# Simulate the force-prune tier check
hard_cutoff = time.time() - (72 * 3600)
mtime = Path(info["path"]).stat().st_mtime
assert mtime <= hard_cutoff # Should qualify for force removal
# Actually remove it (simulates _prune_stale_worktrees force path)
branch_result = subprocess.run(
["git", "branch", "--show-current"],
capture_output=True, text=True, timeout=5, cwd=info["path"],
)
branch = branch_result.stdout.strip()
subprocess.run(
["git", "worktree", "remove", info["path"], "--force"],
capture_output=True, text=True, timeout=15, cwd=str(git_repo),
)
if branch:
subprocess.run(
["git", "branch", "-D", branch],
capture_output=True, text=True, timeout=10, cwd=str(git_repo),
)
assert not Path(info["path"]).exists()
class TestEdgeCases:
"""Test edge cases for robustness."""
@@ -691,133 +611,6 @@ class TestTerminalCWDIntegration:
assert result.stdout.strip() == "true"
class TestOrphanedBranchPruning:
"""Test cleanup of orphaned hermes/* and pr-* branches."""
def test_prunes_orphaned_hermes_branch(self, git_repo):
"""hermes/hermes-* branches with no worktree should be deleted."""
# Create a branch that looks like a worktree branch but has no worktree
subprocess.run(
["git", "branch", "hermes/hermes-deadbeef", "HEAD"],
cwd=str(git_repo), capture_output=True,
)
# Verify it exists
result = subprocess.run(
["git", "branch", "--list", "hermes/hermes-deadbeef"],
capture_output=True, text=True, cwd=str(git_repo),
)
assert "hermes/hermes-deadbeef" in result.stdout
# Simulate _prune_orphaned_branches logic
result = subprocess.run(
["git", "branch", "--format=%(refname:short)"],
capture_output=True, text=True, cwd=str(git_repo),
)
all_branches = [b.strip() for b in result.stdout.strip().split("\n") if b.strip()]
wt_result = subprocess.run(
["git", "worktree", "list", "--porcelain"],
capture_output=True, text=True, cwd=str(git_repo),
)
active_branches = {"main"}
for line in wt_result.stdout.split("\n"):
if line.startswith("branch refs/heads/"):
active_branches.add(line.split("branch refs/heads/", 1)[-1].strip())
orphaned = [
b for b in all_branches
if b not in active_branches
and (b.startswith("hermes/hermes-") or b.startswith("pr-"))
]
assert "hermes/hermes-deadbeef" in orphaned
# Delete them
if orphaned:
subprocess.run(
["git", "branch", "-D"] + orphaned,
capture_output=True, text=True, cwd=str(git_repo),
)
# Verify gone
result = subprocess.run(
["git", "branch", "--list", "hermes/hermes-deadbeef"],
capture_output=True, text=True, cwd=str(git_repo),
)
assert "hermes/hermes-deadbeef" not in result.stdout
def test_prunes_orphaned_pr_branch(self, git_repo):
"""pr-* branches should be deleted during pruning."""
subprocess.run(
["git", "branch", "pr-1234", "HEAD"],
cwd=str(git_repo), capture_output=True,
)
subprocess.run(
["git", "branch", "pr-5678", "HEAD"],
cwd=str(git_repo), capture_output=True,
)
result = subprocess.run(
["git", "branch", "--format=%(refname:short)"],
capture_output=True, text=True, cwd=str(git_repo),
)
all_branches = [b.strip() for b in result.stdout.strip().split("\n") if b.strip()]
active_branches = {"main"}
orphaned = [
b for b in all_branches
if b not in active_branches and b.startswith("pr-")
]
assert "pr-1234" in orphaned
assert "pr-5678" in orphaned
subprocess.run(
["git", "branch", "-D"] + orphaned,
capture_output=True, text=True, cwd=str(git_repo),
)
# Verify gone
result = subprocess.run(
["git", "branch", "--format=%(refname:short)"],
capture_output=True, text=True, cwd=str(git_repo),
)
remaining = result.stdout.strip()
assert "pr-1234" not in remaining
assert "pr-5678" not in remaining
def test_preserves_active_worktree_branch(self, git_repo):
"""Branches with active worktrees should NOT be pruned."""
info = _setup_worktree(str(git_repo))
assert info is not None
result = subprocess.run(
["git", "worktree", "list", "--porcelain"],
capture_output=True, text=True, cwd=str(git_repo),
)
active_branches = set()
for line in result.stdout.split("\n"):
if line.startswith("branch refs/heads/"):
active_branches.add(line.split("branch refs/heads/", 1)[-1].strip())
assert info["branch"] in active_branches # Protected
def test_preserves_main_branch(self, git_repo):
"""main branch should never be pruned."""
result = subprocess.run(
["git", "branch", "--format=%(refname:short)"],
capture_output=True, text=True, cwd=str(git_repo),
)
all_branches = [b.strip() for b in result.stdout.strip().split("\n") if b.strip()]
active_branches = {"main"}
orphaned = [
b for b in all_branches
if b not in active_branches
and (b.startswith("hermes/hermes-") or b.startswith("pr-"))
]
assert "main" not in orphaned
class TestSystemPromptInjection:
"""Test that the agent gets worktree context in its system prompt."""
@@ -832,7 +625,7 @@ class TestSystemPromptInjection:
f"{info['path']}. Your branch is `{info['branch']}`. "
f"Changes here do not affect the main working tree or other agents. "
f"Remember to commit and push your changes, and create a PR if appropriate. "
f"The original repo is at {info['repo_root']}.]\n"
f"The original repo is at {info['repo_root']}.]"
)
assert info["path"] in wt_note
-2
View File
@@ -38,8 +38,6 @@ def _isolate_hermes_home(tmp_path, monkeypatch):
monkeypatch.delenv("HERMES_SESSION_CHAT_ID", raising=False)
monkeypatch.delenv("HERMES_SESSION_CHAT_NAME", raising=False)
monkeypatch.delenv("HERMES_GATEWAY_SESSION", raising=False)
# Avoid making real calls during tests if this key is set in the env files
monkeypatch.delenv("OPENROUTER_API_KEY", raising=False)
@pytest.fixture()
-30
View File
@@ -339,36 +339,6 @@ class TestMarkJobRun:
assert updated["last_status"] == "error"
assert updated["last_error"] == "timeout"
def test_delivery_error_tracked_separately(self, tmp_cron_dir):
"""Agent succeeds but delivery fails — both tracked independently."""
job = create_job(prompt="Report", schedule="every 1h")
mark_job_run(job["id"], success=True, delivery_error="platform 'telegram' not configured")
updated = get_job(job["id"])
assert updated["last_status"] == "ok"
assert updated["last_error"] is None
assert updated["last_delivery_error"] == "platform 'telegram' not configured"
def test_delivery_error_cleared_on_success(self, tmp_cron_dir):
"""Successful delivery clears the previous delivery error."""
job = create_job(prompt="Report", schedule="every 1h")
mark_job_run(job["id"], success=True, delivery_error="network timeout")
updated = get_job(job["id"])
assert updated["last_delivery_error"] == "network timeout"
# Next run delivers successfully
mark_job_run(job["id"], success=True, delivery_error=None)
updated = get_job(job["id"])
assert updated["last_delivery_error"] is None
def test_both_agent_and_delivery_error(self, tmp_cron_dir):
"""Agent fails AND delivery fails — both errors recorded."""
job = create_job(prompt="Report", schedule="every 1h")
mark_job_run(job["id"], success=False, error="model timeout",
delivery_error="platform 'discord' not enabled")
updated = get_job(job["id"])
assert updated["last_status"] == "error"
assert updated["last_error"] == "model timeout"
assert updated["last_delivery_error"] == "platform 'discord' not enabled"
class TestAdvanceNextRun:
"""Tests for advance_next_run() — crash-safety for recurring jobs."""
-84
View File
@@ -508,90 +508,6 @@ class TestDeliverResultWrapping:
assert send_mock.call_args.kwargs["thread_id"] == "17585"
class TestDeliverResultErrorReturns:
"""Verify _deliver_result returns error strings on failure, None on success."""
def test_returns_none_on_successful_delivery(self):
from gateway.config import Platform
pconfig = MagicMock()
pconfig.enabled = True
mock_cfg = MagicMock()
mock_cfg.platforms = {Platform.TELEGRAM: pconfig}
with patch("gateway.config.load_gateway_config", return_value=mock_cfg), \
patch("tools.send_message_tool._send_to_platform", new=AsyncMock(return_value={"success": True})):
job = {
"id": "ok-job",
"deliver": "origin",
"origin": {"platform": "telegram", "chat_id": "123"},
}
result = _deliver_result(job, "Output.")
assert result is None
def test_returns_none_for_local_delivery(self):
"""local-only jobs don't deliver — not a failure."""
job = {"id": "local-job", "deliver": "local"}
result = _deliver_result(job, "Output.")
assert result is None
def test_returns_error_for_unknown_platform(self):
job = {
"id": "bad-platform",
"deliver": "origin",
"origin": {"platform": "fax", "chat_id": "123"},
}
with patch("gateway.config.load_gateway_config"):
result = _deliver_result(job, "Output.")
assert result is not None
assert "unknown platform" in result
def test_returns_error_when_platform_disabled(self):
from gateway.config import Platform
pconfig = MagicMock()
pconfig.enabled = False
mock_cfg = MagicMock()
mock_cfg.platforms = {Platform.TELEGRAM: pconfig}
with patch("gateway.config.load_gateway_config", return_value=mock_cfg):
job = {
"id": "disabled",
"deliver": "origin",
"origin": {"platform": "telegram", "chat_id": "123"},
}
result = _deliver_result(job, "Output.")
assert result is not None
assert "not configured" in result
def test_returns_error_on_send_failure(self):
from gateway.config import Platform
pconfig = MagicMock()
pconfig.enabled = True
mock_cfg = MagicMock()
mock_cfg.platforms = {Platform.TELEGRAM: pconfig}
with patch("gateway.config.load_gateway_config", return_value=mock_cfg), \
patch("tools.send_message_tool._send_to_platform", new=AsyncMock(return_value={"error": "rate limited"})):
job = {
"id": "rate-limited",
"deliver": "origin",
"origin": {"platform": "telegram", "chat_id": "123"},
}
result = _deliver_result(job, "Output.")
assert result is not None
assert "rate limited" in result
def test_returns_error_for_unresolved_target(self, monkeypatch):
"""Non-local delivery with no resolvable target should return an error."""
monkeypatch.delenv("TELEGRAM_HOME_CHANNEL", raising=False)
job = {"id": "no-target", "deliver": "telegram"}
result = _deliver_result(job, "Output.")
assert result is not None
assert "no delivery target" in result
class TestRunJobSessionPersistence:
def test_run_job_passes_session_db_and_cron_platform(self, tmp_path):
job = {
@@ -1,164 +0,0 @@
"""Security tests for Terminal-Bench 2 archive extraction."""
import base64
import importlib
import io
import sys
import tarfile
import types
import pytest
def _stub_module(name: str, **attrs):
module = types.ModuleType(name)
for key, value in attrs.items():
setattr(module, key, value)
return module
def _load_terminalbench_module(monkeypatch):
class _EvalHandlingEnum:
STOP_TRAIN = "stop_train"
class _APIServerConfig:
def __init__(self, *args, **kwargs):
self.args = args
self.kwargs = kwargs
class _AgentResult:
pass
class _HermesAgentLoop:
pass
class _HermesAgentBaseEnv:
pass
class _HermesAgentEnvConfig:
pass
class _ToolContext:
pass
stub_modules = {
"atroposlib": _stub_module("atroposlib"),
"atroposlib.envs": _stub_module("atroposlib.envs"),
"atroposlib.envs.base": _stub_module(
"atroposlib.envs.base",
EvalHandlingEnum=_EvalHandlingEnum,
),
"atroposlib.envs.server_handling": _stub_module("atroposlib.envs.server_handling"),
"atroposlib.envs.server_handling.server_manager": _stub_module(
"atroposlib.envs.server_handling.server_manager",
APIServerConfig=_APIServerConfig,
),
"environments.agent_loop": _stub_module(
"environments.agent_loop",
AgentResult=_AgentResult,
HermesAgentLoop=_HermesAgentLoop,
),
"environments.hermes_base_env": _stub_module(
"environments.hermes_base_env",
HermesAgentBaseEnv=_HermesAgentBaseEnv,
HermesAgentEnvConfig=_HermesAgentEnvConfig,
),
"environments.tool_context": _stub_module(
"environments.tool_context",
ToolContext=_ToolContext,
),
"tools.terminal_tool": _stub_module(
"tools.terminal_tool",
register_task_env_overrides=lambda *args, **kwargs: None,
clear_task_env_overrides=lambda *args, **kwargs: None,
cleanup_vm=lambda *args, **kwargs: None,
),
}
stub_modules["atroposlib"].envs = stub_modules["atroposlib.envs"]
stub_modules["atroposlib.envs"].base = stub_modules["atroposlib.envs.base"]
stub_modules["atroposlib.envs"].server_handling = stub_modules["atroposlib.envs.server_handling"]
stub_modules["atroposlib.envs.server_handling"].server_manager = stub_modules[
"atroposlib.envs.server_handling.server_manager"
]
for name, module in stub_modules.items():
monkeypatch.setitem(sys.modules, name, module)
module_name = "environments.benchmarks.terminalbench_2.terminalbench2_env"
sys.modules.pop(module_name, None)
return importlib.import_module(module_name)
def _build_tar_b64(entries):
buf = io.BytesIO()
with tarfile.open(fileobj=buf, mode="w:gz") as tar:
for entry in entries:
kind = entry["kind"]
info = tarfile.TarInfo(entry["name"])
if kind == "dir":
info.type = tarfile.DIRTYPE
tar.addfile(info)
continue
if kind == "file":
data = entry["data"].encode("utf-8")
info.size = len(data)
tar.addfile(info, io.BytesIO(data))
continue
if kind == "symlink":
info.type = tarfile.SYMTYPE
info.linkname = entry["target"]
tar.addfile(info)
continue
raise ValueError(f"Unknown tar entry kind: {kind}")
return base64.b64encode(buf.getvalue()).decode("ascii")
def test_extract_base64_tar_allows_safe_files(tmp_path, monkeypatch):
module = _load_terminalbench_module(monkeypatch)
archive = _build_tar_b64(
[
{"kind": "dir", "name": "nested"},
{"kind": "file", "name": "nested/hello.txt", "data": "hello"},
]
)
target = tmp_path / "extract"
module._extract_base64_tar(archive, target)
assert (target / "nested" / "hello.txt").read_text(encoding="utf-8") == "hello"
def test_extract_base64_tar_rejects_path_traversal(tmp_path, monkeypatch):
module = _load_terminalbench_module(monkeypatch)
archive = _build_tar_b64(
[
{"kind": "file", "name": "../escape.txt", "data": "owned"},
]
)
target = tmp_path / "extract"
with pytest.raises(ValueError, match="Unsafe archive member path"):
module._extract_base64_tar(archive, target)
assert not (tmp_path / "escape.txt").exists()
def test_extract_base64_tar_rejects_symlinks(tmp_path, monkeypatch):
module = _load_terminalbench_module(monkeypatch)
archive = _build_tar_b64(
[
{"kind": "symlink", "name": "link", "target": "../../escape.txt"},
]
)
target = tmp_path / "extract"
with pytest.raises(ValueError, match="Unsupported archive member type"):
module._extract_base64_tar(archive, target)
assert not (target / "link").exists()
+3 -3
View File
@@ -439,7 +439,7 @@ class TestChatCompletionsEndpoint:
tp_cb = kwargs.get("tool_progress_callback")
# Simulate tool progress before streaming content
if tp_cb:
tp_cb("tool.started", "terminal", "ls -la", {"command": "ls -la"})
tp_cb("terminal", "ls -la", {"command": "ls -la"})
if cb:
await asyncio.sleep(0.05)
cb("Here are the files.")
@@ -476,8 +476,8 @@ class TestChatCompletionsEndpoint:
cb = kwargs.get("stream_delta_callback")
tp_cb = kwargs.get("tool_progress_callback")
if tp_cb:
tp_cb("tool.started", "_thinking", "some internal state", {})
tp_cb("tool.started", "web_search", "Python docs", {"query": "Python docs"})
tp_cb("_thinking", "some internal state", {})
tp_cb("web_search", "Python docs", {"query": "Python docs"})
if cb:
await asyncio.sleep(0.05)
cb("Found it.")

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