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Author SHA1 Message Date
kshitij ba5906b2b2 fix(minimax): correct context lengths, model catalog, thinking guard, aux model, and config base_url
Cherry-picked from PR #6046 by kshitijk4poor with dead code stripped.

- Context lengths: 204800 → 1M (M1) / 1048576 (M2.5/M2.7) per official docs
- Model catalog: add M1 family, remove deprecated M2.1 and highspeed variants
- Thinking guard: skip extended thinking for MiniMax (Anthropic-compat endpoint)
- Aux model: MiniMax-M2.7-highspeed → MiniMax-M2.7 (same model, half price)
- Config base_url: honour model.base_url for API-key providers (fixes China users)
- Stripped unused get_minimax_max_output() / _MINIMAX_MAX_OUTPUT (no consumer)

Fixes #5777, #4082, #6039. Closes #3895.
2026-04-08 01:39:28 -07:00
242 changed files with 6391 additions and 17128 deletions
-8
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@@ -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
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@@ -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
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@@ -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
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@@ -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
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@@ -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
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@@ -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)
+93 -142
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.
@@ -485,6 +471,35 @@ def _prefer_refreshable_claude_code_token(env_token: str, creds: Optional[Dict[s
return None
def get_anthropic_token_source(token: Optional[str] = None) -> str:
"""Best-effort source classification for an Anthropic credential token."""
token = (token or "").strip()
if not token:
return "none"
env_token = os.getenv("ANTHROPIC_TOKEN", "").strip()
if env_token and env_token == token:
return "anthropic_token_env"
cc_env_token = os.getenv("CLAUDE_CODE_OAUTH_TOKEN", "").strip()
if cc_env_token and cc_env_token == token:
return "claude_code_oauth_token_env"
creds = read_claude_code_credentials()
if creds and creds.get("accessToken") == token:
return str(creds.get("source") or "claude_code_credentials")
managed_key = read_claude_managed_key()
if managed_key and managed_key == token:
return "claude_json_primary_api_key"
api_key = os.getenv("ANTHROPIC_API_KEY", "").strip()
if api_key and api_key == token:
return "anthropic_api_key_env"
return "unknown"
def resolve_anthropic_token() -> Optional[str]:
"""Resolve an Anthropic token from all available sources.
@@ -691,6 +706,21 @@ def run_hermes_oauth_login_pure() -> Optional[Dict[str, Any]]:
}
def _save_hermes_oauth_credentials(access_token: str, refresh_token: str, expires_at_ms: int) -> None:
"""Save OAuth credentials to ~/.hermes/.anthropic_oauth.json."""
data = {
"accessToken": access_token,
"refreshToken": refresh_token,
"expiresAt": expires_at_ms,
}
try:
_HERMES_OAUTH_FILE.parent.mkdir(parents=True, exist_ok=True)
_HERMES_OAUTH_FILE.write_text(json.dumps(data, indent=2), encoding="utf-8")
_HERMES_OAUTH_FILE.chmod(0o600)
except (OSError, IOError) as e:
logger.debug("Failed to save Hermes OAuth credentials: %s", e)
def read_hermes_oauth_credentials() -> Optional[Dict[str, Any]]:
"""Read Hermes-managed OAuth credentials from ~/.hermes/.anthropic_oauth.json."""
if _HERMES_OAUTH_FILE.exists():
@@ -739,6 +769,39 @@ def _sanitize_tool_id(tool_id: str) -> str:
return sanitized or "tool_0"
def _convert_openai_image_part_to_anthropic(part: Dict[str, Any]) -> Optional[Dict[str, Any]]:
"""Convert an OpenAI-style image block to Anthropic's image source format."""
image_data = part.get("image_url", {})
url = image_data.get("url", "") if isinstance(image_data, dict) else str(image_data)
if not isinstance(url, str) or not url.strip():
return None
url = url.strip()
if url.startswith("data:"):
header, sep, data = url.partition(",")
if sep and ";base64" in header:
media_type = header[5:].split(";", 1)[0] or "image/png"
return {
"type": "image",
"source": {
"type": "base64",
"media_type": media_type,
"data": data,
},
}
if url.startswith(("http://", "https://")):
return {
"type": "image",
"source": {
"type": "url",
"url": url,
},
}
return None
def convert_tools_to_anthropic(tools: List[Dict]) -> List[Dict]:
"""Convert OpenAI tool definitions to Anthropic format."""
if not tools:
@@ -879,18 +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 = []
@@ -1045,15 +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):
@@ -1071,79 +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
@@ -1157,53 +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)
+103 -111
View File
@@ -629,19 +629,11 @@ 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
@@ -702,7 +694,7 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
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
@@ -721,7 +713,7 @@ def _resolve_api_key_provider() -> Tuple[Optional[OpenAI], Optional[str]]:
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
@@ -842,7 +834,7 @@ def _read_main_provider() -> str:
if isinstance(model_cfg, dict):
provider = model_cfg.get("provider", "")
if isinstance(provider, str) and provider.strip():
return provider.strip().lower()
return _normalize_aux_provider(provider)
except Exception:
pass
return ""
@@ -902,13 +894,9 @@ 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:
@@ -967,6 +955,40 @@ def _try_anthropic() -> Tuple[Optional[Any], Optional[str]]:
return AnthropicAuxiliaryClient(real_client, model, token, base_url, is_oauth=is_oauth), model
def _resolve_forced_provider(forced: str) -> Tuple[Optional[OpenAI], Optional[str]]:
"""Resolve a specific forced provider. Returns (None, None) if creds missing."""
if forced == "openrouter":
client, model = _try_openrouter()
if client is None:
logger.warning("auxiliary.provider=openrouter but OPENROUTER_API_KEY not set")
return client, model
if forced == "nous":
client, model = _try_nous()
if client is None:
logger.warning("auxiliary.provider=nous but Nous Portal not configured (run: hermes auth)")
return client, model
if forced == "codex":
client, model = _try_codex()
if client is None:
logger.warning("auxiliary.provider=codex but no Codex OAuth token found (run: hermes model)")
return client, model
if forced == "main":
# "main" = skip OpenRouter/Nous, use the main chat model's credentials.
for try_fn in (_try_custom_endpoint, _try_codex, _resolve_api_key_provider):
client, model = try_fn()
if client is not None:
return client, model
logger.warning("auxiliary.provider=main but no main endpoint credentials found")
return None, None
# Unknown provider name — fall through to auto
logger.warning("Unknown auxiliary.provider=%r, falling back to auto", forced)
return None, None
_AUTO_PROVIDER_LABELS = {
"_try_openrouter": "openrouter",
"_try_nous": "nous",
@@ -1013,32 +1035,6 @@ 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,
@@ -1103,7 +1099,7 @@ 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)",
@@ -1161,7 +1157,7 @@ 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
@@ -1281,13 +1277,7 @@ 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
@@ -1366,7 +1356,7 @@ 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
@@ -1461,28 +1451,38 @@ def _strict_vision_backend_available(provider: str) -> bool:
return _resolve_strict_vision_backend(provider)[0] is not None
def _preferred_main_vision_provider() -> Optional[str]:
"""Return the selected main provider when it is also a supported vision backend."""
try:
from hermes_cli.config import load_config
config = load_config()
model_cfg = config.get("model", {})
if isinstance(model_cfg, dict):
provider = _normalize_vision_provider(model_cfg.get("provider", ""))
if provider in _VISION_AUTO_PROVIDER_ORDER:
return provider
except Exception:
pass
return None
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.
Order: OpenRouter → Nous → active provider. This is the single source
of truth for setup, tool gating, and runtime auto-routing of vision tasks.
"""
available: List[str] = []
# 1. Active provider — if the user configured a provider, try it first.
available = [p for p in _VISION_AUTO_PROVIDER_ORDER
if _strict_vision_backend_available(p)]
# Also check the user's active provider (may be DeepSeek, Alibaba, named
# custom, etc.) — resolve_provider_client handles all provider types.
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)
if (main_provider and main_provider not in ("auto", "")
and main_provider not in available):
client, _ = resolve_provider_client(main_provider, _read_main_model())
if client is not None:
available.append(main_provider)
return available
@@ -1529,38 +1529,29 @@ def resolve_vision_provider_client(
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)
# 1. OpenRouter (known vision-capable default model)
# 2. Nous Portal (known vision-capable default model)
# 3. Active provider + model (user's main chat config)
# 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)
# Fall back through aggregators.
for candidate in _VISION_AUTO_PROVIDER_ORDER:
if candidate == main_provider:
continue # already tried above
sync_client, default_model = _resolve_strict_vision_backend(candidate)
if sync_client is not None:
return _finalize(candidate, sync_client, default_model)
# Fall back to the user's active provider + model.
main_provider = _read_main_provider()
main_model = _read_main_model()
if main_provider and main_provider not in ("auto", ""):
sync_client, resolved_model = resolve_provider_client(
main_provider, main_model)
if sync_client is not None:
logger.info(
"Vision auto-detect: using active provider %s (%s)",
main_provider, resolved_model or main_model,
)
return _finalize(
main_provider, sync_client, resolved_model or main_model)
logger.debug("Auxiliary vision client: none available")
return None, None, None
@@ -1574,6 +1565,18 @@ def resolve_vision_provider_client(
return requested, client, final_model
def get_vision_auxiliary_client() -> Tuple[Optional[OpenAI], Optional[str]]:
"""Return (client, default_model_slug) for vision/multimodal auxiliary tasks."""
_, client, final_model = resolve_vision_provider_client(async_mode=False)
return client, final_model
def get_async_vision_auxiliary_client():
"""Return (async_client, model_slug) for async vision consumers."""
_, client, final_model = resolve_vision_provider_client(async_mode=True)
return client, final_model
def get_auxiliary_extra_body() -> dict:
"""Return extra_body kwargs for auxiliary API calls.
@@ -2063,18 +2066,7 @@ 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:
+114
View File
@@ -0,0 +1,114 @@
"""BuiltinMemoryProvider — wraps MEMORY.md / USER.md as a MemoryProvider.
Always registered as the first provider. Cannot be disabled or removed.
This is the existing Hermes memory system exposed through the provider
interface for compatibility with the MemoryManager.
The actual storage logic lives in tools/memory_tool.py (MemoryStore).
This provider is a thin adapter that delegates to MemoryStore and
exposes the memory tool schema.
"""
from __future__ import annotations
import json
import logging
from typing import Any, Dict, List
from agent.memory_provider import MemoryProvider
from tools.registry import tool_error
logger = logging.getLogger(__name__)
class BuiltinMemoryProvider(MemoryProvider):
"""Built-in file-backed memory (MEMORY.md + USER.md).
Always active, never disabled by other providers. The `memory` tool
is handled by run_agent.py's agent-level tool interception (not through
the normal registry), so get_tool_schemas() returns an empty list —
the memory tool is already wired separately.
"""
def __init__(
self,
memory_store=None,
memory_enabled: bool = False,
user_profile_enabled: bool = False,
):
self._store = memory_store
self._memory_enabled = memory_enabled
self._user_profile_enabled = user_profile_enabled
@property
def name(self) -> str:
return "builtin"
def is_available(self) -> bool:
"""Built-in memory is always available."""
return True
def initialize(self, session_id: str, **kwargs) -> None:
"""Load memory from disk if not already loaded."""
if self._store is not None:
self._store.load_from_disk()
def system_prompt_block(self) -> str:
"""Return MEMORY.md and USER.md content for the system prompt.
Uses the frozen snapshot captured at load time. This ensures the
system prompt stays stable throughout a session (preserving the
prompt cache), even though the live entries may change via tool calls.
"""
if not self._store:
return ""
parts = []
if self._memory_enabled:
mem_block = self._store.format_for_system_prompt("memory")
if mem_block:
parts.append(mem_block)
if self._user_profile_enabled:
user_block = self._store.format_for_system_prompt("user")
if user_block:
parts.append(user_block)
return "\n\n".join(parts)
def prefetch(self, query: str, *, session_id: str = "") -> str:
"""Built-in memory doesn't do query-based recall — it's injected via system_prompt_block."""
return ""
def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
"""Built-in memory doesn't auto-sync turns — writes happen via the memory tool."""
def get_tool_schemas(self) -> List[Dict[str, Any]]:
"""Return empty list.
The `memory` tool is an agent-level intercepted tool, handled
specially in run_agent.py before normal tool dispatch. It's not
part of the standard tool registry. We don't duplicate it here.
"""
return []
def handle_tool_call(self, tool_name: str, args: Dict[str, Any], **kwargs) -> str:
"""Not used — the memory tool is intercepted in run_agent.py."""
return tool_error("Built-in memory tool is handled by the agent loop")
def shutdown(self) -> None:
"""No cleanup needed — files are saved on every write."""
# -- Property access for backward compatibility --------------------------
@property
def store(self):
"""Access the underlying MemoryStore for legacy code paths."""
return self._store
@property
def memory_enabled(self) -> bool:
return self._memory_enabled
@property
def user_profile_enabled(self) -> bool:
return self._user_profile_enabled
+70 -112
View File
@@ -114,6 +114,7 @@ class ContextCompressor:
self.last_prompt_tokens = 0
self.last_completion_tokens = 0
self.last_total_tokens = 0
self.summary_model = summary_model_override or ""
@@ -125,27 +126,40 @@ class ContextCompressor:
"""Update tracked token usage from API response."""
self.last_prompt_tokens = usage.get("prompt_tokens", 0)
self.last_completion_tokens = usage.get("completion_tokens", 0)
self.last_total_tokens = usage.get("total_tokens", 0)
def should_compress(self, prompt_tokens: int = None) -> bool:
"""Check if context exceeds the compression threshold."""
tokens = prompt_tokens if prompt_tokens is not None else self.last_prompt_tokens
return tokens >= self.threshold_tokens
def should_compress_preflight(self, messages: List[Dict[str, Any]]) -> bool:
"""Quick pre-flight check using rough estimate (before API call)."""
rough_estimate = estimate_messages_tokens_rough(messages)
return rough_estimate >= self.threshold_tokens
def get_status(self) -> Dict[str, Any]:
"""Get current compression status for display/logging."""
return {
"last_prompt_tokens": self.last_prompt_tokens,
"threshold_tokens": self.threshold_tokens,
"context_length": self.context_length,
"usage_percent": min(100, (self.last_prompt_tokens / self.context_length * 100)) if self.context_length else 0,
"compression_count": self.compression_count,
}
# ------------------------------------------------------------------
# Tool output pruning (cheap pre-pass, no LLM call)
# ------------------------------------------------------------------
def _prune_old_tool_results(
self, messages: List[Dict[str, Any]], protect_tail_count: int,
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).
"""
@@ -154,29 +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]
@@ -207,39 +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 = []
@@ -249,8 +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)
@@ -261,8 +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)
@@ -327,9 +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."""
@@ -368,9 +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."""
@@ -541,20 +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
@@ -567,21 +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)
@@ -606,13 +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
@@ -620,8 +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)
@@ -674,43 +642,33 @@ Write only the summary body. Do not include any preamble or prefix."""
)
compressed.append(msg)
# If LLM summary failed, insert a static fallback so the model
# knows context was lost rather than silently dropping everything.
if not summary:
if not self.quiet_mode:
logger.warning("Summary generation failed — inserting static fallback context marker")
n_dropped = compress_end - compress_start
summary = (
f"{SUMMARY_PREFIX}\n"
f"Summary generation was unavailable. {n_dropped} conversation turns were "
f"removed to free context space but could not be summarized. The removed "
f"turns contained earlier work in this session. Continue based on the "
f"recent messages below and the current state of any files or resources."
)
_merge_summary_into_tail = False
last_head_role = messages[compress_start - 1].get("role", "user") if compress_start > 0 else "user"
first_tail_role = messages[compress_end].get("role", "user") if compress_end < n_messages else "user"
# Pick a role that avoids consecutive same-role with both neighbors.
# Priority: avoid colliding with head (already committed), then tail.
if last_head_role in ("assistant", "tool"):
summary_role = "user"
else:
summary_role = "assistant"
# If the chosen role collides with the tail AND flipping wouldn't
# collide with the head, flip it.
if summary_role == first_tail_role:
flipped = "assistant" if summary_role == "user" else "user"
if flipped != last_head_role:
summary_role = flipped
if summary:
last_head_role = messages[compress_start - 1].get("role", "user") if compress_start > 0 else "user"
first_tail_role = messages[compress_end].get("role", "user") if compress_end < n_messages else "user"
# Pick a role that avoids consecutive same-role with both neighbors.
# Priority: avoid colliding with head (already committed), then tail.
if last_head_role in ("assistant", "tool"):
summary_role = "user"
else:
# Both roles would create consecutive same-role messages
# (e.g. head=assistant, tail=user — neither role works).
# Merge the summary into the first tail message instead
# of inserting a standalone message that breaks alternation.
_merge_summary_into_tail = True
if not _merge_summary_into_tail:
compressed.append({"role": summary_role, "content": summary})
summary_role = "assistant"
# If the chosen role collides with the tail AND flipping wouldn't
# collide with the head, flip it.
if summary_role == first_tail_role:
flipped = "assistant" if summary_role == "user" else "user"
if flipped != last_head_role:
summary_role = flipped
else:
# Both roles would create consecutive same-role messages
# (e.g. head=assistant, tail=user — neither role works).
# Merge the summary into the first tail message instead
# of inserting a standalone message that breaks alternation.
_merge_summary_into_tail = True
if not _merge_summary_into_tail:
compressed.append({"role": summary_role, "content": summary})
else:
if not self.quiet_mode:
logger.debug("No summary model available — middle turns dropped without summary")
for i in range(compress_end, n_messages):
msg = messages[i].copy()
+20 -8
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
@@ -633,6 +631,17 @@ class CredentialPool:
return False
return False
def mark_used(self, entry_id: Optional[str] = None) -> None:
"""Increment request_count for tracking. Used by least_used strategy."""
target_id = entry_id or self._current_id
if not target_id:
return
with self._lock:
for idx, entry in enumerate(self._entries):
if entry.id == target_id:
self._entries[idx] = replace(entry, request_count=entry.request_count + 1)
return
def select(self) -> Optional[PooledCredential]:
with self._lock:
return self._select_unlocked()
@@ -794,6 +803,11 @@ class CredentialPool:
else:
self._active_leases[credential_id] = count - 1
def active_lease_count(self, credential_id: str) -> int:
"""Return the number of active leases for a credential."""
with self._lock:
return self._active_leases.get(credential_id, 0)
def try_refresh_current(self) -> Optional[PooledCredential]:
with self._lock:
return self._try_refresh_current_unlocked()
@@ -1070,9 +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,
+76
View File
@@ -67,6 +67,26 @@ def _get_skin():
return None
def get_skin_faces(key: str, default: list) -> list:
"""Get spinner face list from active skin, falling back to default."""
skin = _get_skin()
if skin:
faces = skin.get_spinner_list(key)
if faces:
return faces
return default
def get_skin_verbs() -> list:
"""Get thinking verbs from active skin."""
skin = _get_skin()
if skin:
verbs = skin.get_spinner_list("thinking_verbs")
if verbs:
return verbs
return KawaiiSpinner.THINKING_VERBS
def get_skin_tool_prefix() -> str:
"""Get tool output prefix character from active skin."""
skin = _get_skin()
@@ -703,6 +723,46 @@ class KawaiiSpinner:
return False
# =========================================================================
# Kawaii face arrays (used by AIAgent._execute_tool_calls for spinner text)
# =========================================================================
KAWAII_SEARCH = [
"♪(´ε` )", "(。◕‿◕。)", "ヾ(^∇^)", "(◕ᴗ◕✿)", "( ˘▽˘)っ",
"٩(◕‿◕。)۶", "(✿◠‿◠)", "♪~(´ε` )", "(ノ´ヮ`)*:・゚✧", "(◎o◎)",
]
KAWAII_READ = [
"φ(゜▽゜*)♪", "( ˘▽˘)っ", "(⌐■_■)", "٩(。•́‿•̀。)۶", "(◕‿◕✿)",
"ヾ(@⌒ー⌒@)", "(✧ω✧)", "♪(๑ᴖ◡ᴖ๑)♪", "(≧◡≦)", "( ´ ▽ ` )",
]
KAWAII_TERMINAL = [
"ヽ(>∀<☆)", "(ノ°∀°)", "٩(^ᴗ^)۶", "ヾ(⌐■_■)ノ♪", "(•̀ᴗ•́)و",
"┗(0)┓", "(`・ω・´)", "( ̄▽ ̄)", "(ง •̀_•́)ง", "ヽ(´▽`)/",
]
KAWAII_BROWSER = [
"(ノ°∀°)", "(☞゚ヮ゚)☞", "( ͡° ͜ʖ ͡°)", "┌( ಠ_ಠ)┘", "(⊙_⊙)",
"ヾ(•ω•`)o", "( ̄ω ̄)", "( ˇωˇ )", "(ᵔᴥᵔ)", "(◎o◎)",
]
KAWAII_CREATE = [
"✧*。٩(ˊᗜˋ*)و✧", "(ノ◕ヮ◕)ノ*:・゚✧", "ヽ(>∀<☆)", "٩(♡ε♡)۶", "(◕‿◕)♡",
"✿◕ ‿ ◕✿", "(*≧▽≦)", "ヾ(-)", "(☆▽☆)", "°˖✧◝(⁰▿⁰)◜✧˖°",
]
KAWAII_SKILL = [
"ヾ(@⌒ー⌒@)", "(๑˃ᴗ˂)ﻭ", "٩(◕‿◕。)۶", "(✿╹◡╹)", "ヽ(・∀・)",
"(ノ´ヮ`)*:・゚✧", "♪(๑ᴖ◡ᴖ๑)♪", "(◠‿◠)", "٩(ˊᗜˋ*)و", "(^▽^)",
"ヾ(^∇^)", "(★ω★)/", "٩(。•́‿•̀。)۶", "(◕ᴗ◕✿)", "(◎o◎)",
"(✧ω✧)", "ヽ(>∀<☆)", "( ˘▽˘)っ", "(≧◡≦) ♡", "ヾ( ̄▽ ̄)",
]
KAWAII_THINK = [
"(っ°Д°;)っ", "(;′⌒`)", "(・_・ヾ", "( ´_ゝ`)", "( ̄ヘ ̄)",
"(。-`ω´-)", "( ˘︹˘ )", "(¬_¬)", "ヽ(ー_ー )", "(;一_一)",
]
KAWAII_GENERIC = [
"♪(´ε` )", "(◕‿◕✿)", "ヾ(^∇^)", "٩(◕‿◕。)۶", "(✿◠‿◠)",
"(ノ´ヮ`)*:・゚✧", "ヽ(>∀<☆)", "(☆▽☆)", "( ˘▽˘)っ", "(≧◡≦)",
]
# =========================================================================
# Cute tool message (completion line that replaces the spinner)
# =========================================================================
@@ -910,6 +970,22 @@ _SKY_BLUE = "\033[38;5;117m"
_ANSI_RESET = "\033[0m"
def honcho_session_url(workspace: str, session_name: str) -> str:
"""Build a Honcho app URL for a session."""
from urllib.parse import quote
return (
f"https://app.honcho.dev/explore"
f"?workspace={quote(workspace, safe='')}"
f"&view=sessions"
f"&session={quote(session_name, safe='')}"
)
def _osc8_link(url: str, text: str) -> str:
"""OSC 8 terminal hyperlink (clickable in iTerm2, Ghostty, WezTerm, etc.)."""
return f"\033]8;;{url}\033\\{text}\033]8;;\033\\"
# =========================================================================
# Context pressure display (CLI user-facing warnings)
# =========================================================================
-782
View File
@@ -1,782 +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)
# ── 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]
+9
View File
@@ -39,6 +39,15 @@ def _has_known_pricing(model_name: str, provider: str = None, base_url: str = No
return has_known_pricing(model_name, provider=provider, base_url=base_url)
def _get_pricing(model_name: str) -> Dict[str, float]:
"""Look up pricing for a model. Uses fuzzy matching on model name.
Returns _DEFAULT_PRICING (zero cost) for unknown/custom models —
we can't assume costs for self-hosted endpoints, local inference, etc.
"""
return get_pricing(model_name)
def _estimate_cost(
session_or_model: Dict[str, Any] | str,
input_tokens: int = 0,
+5
View File
@@ -134,6 +134,11 @@ class MemoryManager:
"""All registered providers in order."""
return list(self._providers)
@property
def provider_names(self) -> List[str]:
"""Names of all registered providers."""
return [p.name for p in self._providers]
def get_provider(self, name: str) -> Optional[MemoryProvider]:
"""Get a provider by name, or None if not registered."""
for p in self._providers:
+1 -48
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",
})
@@ -136,7 +134,7 @@ 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": 1048576,
"XiaomiMiMo/MiMo-V2-Flash": 32768,
"mimo-v2-pro": 1048576,
"mimo-v2-omni": 1048576,
@@ -189,7 +187,6 @@ _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 +194,6 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"api.githubcopilot.com": "copilot",
"models.github.ai": "copilot",
"api.fireworks.ai": "fireworks",
"opencode.ai": "opencode-go",
}
@@ -603,49 +599,6 @@ 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).
+111 -1
View File
@@ -135,6 +135,9 @@ class ProviderInfo:
doc: str = "" # documentation URL
model_count: int = 0
def has_api_url(self) -> bool:
return bool(self.api)
# ---------------------------------------------------------------------------
# Provider ID mapping: Hermes ↔ models.dev
@@ -150,7 +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",
@@ -631,6 +633,43 @@ def get_provider_info(provider_id: str) -> Optional[ProviderInfo]:
return _parse_provider_info(mdev_id, raw)
def list_all_providers() -> Dict[str, ProviderInfo]:
"""Return all providers from models.dev as {provider_id: ProviderInfo}.
Returns the full catalog — 109+ providers. For providers that have
a Hermes alias, both the models.dev ID and the Hermes ID are included.
"""
data = fetch_models_dev()
result: Dict[str, ProviderInfo] = {}
for pid, pdata in data.items():
if isinstance(pdata, dict):
info = _parse_provider_info(pid, pdata)
result[pid] = info
return result
def get_providers_for_env_var(env_var: str) -> List[str]:
"""Reverse lookup: find all providers that use a given env var.
Useful for auto-detection: "user has ANTHROPIC_API_KEY set, which
providers does that enable?"
Returns list of models.dev provider IDs.
"""
data = fetch_models_dev()
matches: List[str] = []
for pid, pdata in data.items():
if isinstance(pdata, dict):
env = pdata.get("env", [])
if isinstance(env, list) and env_var in env:
matches.append(pid)
return matches
# ---------------------------------------------------------------------------
# Model-level queries (rich ModelInfo)
# ---------------------------------------------------------------------------
@@ -668,3 +707,74 @@ def get_model_info(
return None
def get_model_info_any_provider(model_id: str) -> Optional[ModelInfo]:
"""Search all providers for a model by ID.
Useful when you have a full slug like "anthropic/claude-sonnet-4.6" or
a bare name and want to find it anywhere. Checks Hermes-mapped providers
first, then falls back to all models.dev providers.
"""
data = fetch_models_dev()
# Try Hermes-mapped providers first (more likely what the user wants)
for hermes_id, mdev_id in PROVIDER_TO_MODELS_DEV.items():
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
continue
models = pdata.get("models", {})
if not isinstance(models, dict):
continue
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, mdev_id)
# Case-insensitive
model_lower = model_id.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return _parse_model_info(mid, mdata, mdev_id)
# Fall back to ALL providers
for pid, pdata in data.items():
if pid in _get_reverse_mapping():
continue # already checked
if not isinstance(pdata, dict):
continue
models = pdata.get("models", {})
if not isinstance(models, dict):
continue
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, pid)
return None
def list_provider_model_infos(provider_id: str) -> List[ModelInfo]:
"""Return all models for a provider as ModelInfo objects.
Filters out deprecated models by default.
"""
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
return []
models = pdata.get("models", {})
if not isinstance(models, dict):
return []
result: List[ModelInfo] = []
for mid, mdata in models.items():
if not isinstance(mdata, dict):
continue
status = mdata.get("status", "")
if status == "deprecated":
continue
result.append(_parse_model_info(mid, mdata, mdev_id))
return result
+11 -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
@@ -491,6 +460,17 @@ def _parse_skill_file(skill_file: Path) -> tuple[bool, dict, str]:
return True, {}, ""
def _read_skill_conditions(skill_file: Path) -> dict:
"""Extract conditional activation fields from SKILL.md frontmatter."""
try:
raw = skill_file.read_text(encoding="utf-8")[:2000]
frontmatter, _ = parse_frontmatter(raw)
return extract_skill_conditions(frontmatter)
except Exception as e:
logger.debug("Failed to read skill conditions from %s: %s", skill_file, e)
return {}
def _skill_should_show(
conditions: dict,
available_tools: "set[str] | None",
-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)
+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()
+24
View File
@@ -595,6 +595,30 @@ def get_pricing(
}
def estimate_cost_usd(
model: str,
input_tokens: int,
output_tokens: int,
*,
provider: Optional[str] = None,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> float:
"""Backward-compatible helper for legacy callers.
This uses non-cached input/output only. New code should call
`estimate_usage_cost()` with canonical usage buckets.
"""
result = estimate_usage_cost(
model,
CanonicalUsage(input_tokens=input_tokens, output_tokens=output_tokens),
provider=provider,
base_url=base_url,
api_key=api_key,
)
return float(result.amount_usd or _ZERO)
def format_duration_compact(seconds: float) -> str:
if seconds < 60:
return f"{seconds:.0f}s"
+2 -2
View File
@@ -1158,7 +1158,7 @@ def main(
providers_order (str): Comma-separated list of OpenRouter providers to try in order (e.g. "anthropic,openai,google")
provider_sort (str): Sort providers by "price", "throughput", or "latency" (OpenRouter only)
max_tokens (int): Maximum tokens for model responses (optional, uses model default if not set)
reasoning_effort (str): OpenRouter reasoning effort level: "none", "minimal", "low", "medium", "high", "xhigh" (default: "medium")
reasoning_effort (str): OpenRouter reasoning effort level: "xhigh", "high", "medium", "low", "minimal", "none" (default: "medium")
reasoning_disabled (bool): Completely disable reasoning/thinking tokens (default: False)
prefill_messages_file (str): Path to JSON file containing prefill messages (list of {role, content} dicts)
max_samples (int): Only process the first N samples from the dataset (optional, processes all if not set)
@@ -1227,7 +1227,7 @@ def main(
print("🧠 Reasoning: DISABLED (effort=none)")
elif reasoning_effort:
# Use specified effort level
valid_efforts = ["none", "minimal", "low", "medium", "high", "xhigh"]
valid_efforts = ["xhigh", "high", "medium", "low", "minimal", "none"]
if reasoning_effort not in valid_efforts:
print(f"❌ Error: --reasoning_effort must be one of: {', '.join(valid_efforts)}")
return
+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)
+122 -241
View File
@@ -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
# ============================================================================
@@ -1118,6 +1024,14 @@ HERMES_CADUCEUS = """[#CD7F32]⠀⢀⣀⡀⠀⣀⣀
[#B8860B]⠀⠈⠳⠈⣡⠞⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀[/]
[#B8860B]⠀⠈⠀[/]"""
# Compact banner for smaller terminals (fallback)
# Note: built dynamically by _build_compact_banner() to fit terminal width
COMPACT_BANNER = """
[bold #FFD700]╔══════════════════════════════════════════════════════════════╗[/]
[bold #FFD700]║[/] [#FFBF00]⚕ NOUS HERMES[/] [dim #B8860B]- AI Agent Framework[/] [bold #FFD700]║[/]
[bold #FFD700]║[/] [#CD7F32]Messenger of the Digital Gods[/] [dim #B8860B]Nous Research[/] [bold #FFD700]║[/]
[bold #FFD700]╚══════════════════════════════════════════════════════════════╝[/]
"""
def _build_compact_banner() -> str:
@@ -1363,6 +1277,7 @@ class HermesCLI:
self._stream_buf = "" # Partial line buffer for line-buffered rendering
self._stream_started = False # True once first delta arrives
self._stream_box_opened = False # True once the response box header is printed
self._reasoning_stream_started = False # True once live reasoning starts streaming
self._reasoning_preview_buf = "" # Coalesce tiny reasoning chunks for [thinking] output
self._pending_edit_snapshots = {}
@@ -1420,6 +1335,8 @@ class HermesCLI:
self.api_key = api_key or os.getenv("OPENROUTER_API_KEY") or os.getenv("OPENAI_API_KEY")
else:
self.api_key = api_key or os.getenv("OPENAI_API_KEY") or os.getenv("OPENROUTER_API_KEY")
self._nous_key_expires_at: Optional[str] = None
self._nous_key_source: Optional[str] = None
# Max turns priority: CLI arg > config file > env var > default
if max_turns is not None: # CLI arg was explicitly set
self.max_turns = max_turns
@@ -1535,7 +1452,6 @@ 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()
@@ -1592,12 +1508,7 @@ 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]
@@ -1623,6 +1534,7 @@ class HermesCLI:
"compressions": 0,
}
agent = getattr(self, "agent", None)
if not agent:
return snapshot
@@ -1995,6 +1907,7 @@ class HermesCLI:
"""
if not text:
return
self._reasoning_stream_started = True
self._reasoning_shown_this_turn = True
if getattr(self, "_stream_box_opened", False):
return
@@ -2204,6 +2117,7 @@ class HermesCLI:
self._stream_buf = ""
self._stream_started = False
self._stream_box_opened = False
self._reasoning_stream_started = False
self._stream_text_ansi = ""
self._stream_prefilt = ""
self._in_reasoning_block = False
@@ -3400,22 +3314,6 @@ 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:
@@ -3423,10 +3321,6 @@ 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:
@@ -3471,7 +3365,6 @@ class HermesCLI:
)
except Exception:
pass
self._notify_session_boundary("on_session_reset")
if not silent:
print("(^_^)v New session started!")
@@ -3995,7 +3888,59 @@ 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
@@ -4495,7 +4440,9 @@ 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)
@@ -4606,13 +4553,13 @@ class HermesCLI:
if output:
self.console.print(_rich_text_from_ansi(output))
else:
self.console.print("[dim]Command returned no output[/]")
ChatConsole().print("[dim]Command returned no output[/]")
except subprocess.TimeoutExpired:
self.console.print("[bold red]Quick command timed out (30s)[/]")
ChatConsole().print("[bold red]Quick command timed out (30s)[/]")
except Exception as e:
self.console.print(f"[bold red]Quick command error: {e}[/]")
ChatConsole().print(f"[bold red]Quick command error: {e}[/]")
else:
self.console.print(f"[bold red]Quick command '{base_cmd}' has no command defined[/]")
ChatConsole().print(f"[bold red]Quick command '{base_cmd}' has no command defined[/]")
elif qcmd.get("type") == "alias":
target = qcmd.get("target", "").strip()
if target:
@@ -4621,9 +4568,9 @@ class HermesCLI:
aliased_command = f"{target} {user_args}".strip()
return self.process_command(aliased_command)
else:
self.console.print(f"[bold red]Quick command '{base_cmd}' has no target defined[/]")
ChatConsole().print(f"[bold red]Quick command '{base_cmd}' has no target defined[/]")
else:
self.console.print(f"[bold red]Quick command '{base_cmd}' has unsupported type (supported: 'exec', 'alias')[/]")
ChatConsole().print(f"[bold red]Quick command '{base_cmd}' has unsupported type (supported: 'exec', 'alias')[/]")
# Check for plugin-registered slash commands
elif base_cmd.lstrip("/") in _get_plugin_cmd_handler_names():
from hermes_cli.plugins import get_plugin_command_handler
@@ -4975,9 +4922,6 @@ class HermesCLI:
def _try_launch_chrome_debug(port: int, system: str) -> bool:
"""Try to launch Chrome/Chromium with remote debugging enabled.
Uses a dedicated user-data-dir so the debug instance doesn't conflict
with an already-running Chrome using the default profile.
Returns True if a launch command was executed (doesn't guarantee success).
"""
import subprocess as _sp
@@ -4987,20 +4931,10 @@ class HermesCLI:
if not candidates:
return False
# Dedicated profile dir so debug Chrome won't collide with normal Chrome
data_dir = str(_hermes_home / "chrome-debug")
os.makedirs(data_dir, exist_ok=True)
chrome = candidates[0]
try:
_sp.Popen(
[
chrome,
f"--remote-debugging-port={port}",
f"--user-data-dir={data_dir}",
"--no-first-run",
"--no-default-browser-check",
],
[chrome, f"--remote-debugging-port={port}"],
stdout=_sp.DEVNULL,
stderr=_sp.DEVNULL,
start_new_session=True, # detach from terminal
@@ -5075,33 +5009,18 @@ class HermesCLI:
print(f" ✓ Chrome launched and listening on port {_port}")
else:
print(f" ⚠ Chrome launched but port {_port} isn't responding yet")
print(" Try again in a few seconds — the debug instance may still be starting")
print(" You may need to close existing Chrome windows first and retry")
else:
print(" ⚠ Could not auto-launch Chrome")
# Show manual instructions as fallback
_data_dir = str(_hermes_home / "chrome-debug")
sys_name = _plat.system()
if sys_name == "Darwin":
chrome_cmd = (
'open -a "Google Chrome" --args'
f" --remote-debugging-port=9222"
f' --user-data-dir="{_data_dir}"'
" --no-first-run --no-default-browser-check"
)
chrome_cmd = 'open -a "Google Chrome" --args --remote-debugging-port=9222'
elif sys_name == "Windows":
chrome_cmd = (
f'chrome.exe --remote-debugging-port=9222'
f' --user-data-dir="{_data_dir}"'
f" --no-first-run --no-default-browser-check"
)
chrome_cmd = 'chrome.exe --remote-debugging-port=9222'
else:
chrome_cmd = (
f"google-chrome --remote-debugging-port=9222"
f' --user-data-dir="{_data_dir}"'
f" --no-first-run --no-default-browser-check"
)
print(f" Launch Chrome manually:")
print(f" {chrome_cmd}")
chrome_cmd = "google-chrome --remote-debugging-port=9222"
print(f" Launch Chrome manually: {chrome_cmd}")
else:
print(f" ⚠ Port {_port} is not reachable at {cdp_url}")
@@ -5274,7 +5193,7 @@ class HermesCLI:
Usage:
/reasoning Show current effort level and display state
/reasoning <level> Set reasoning effort (none, minimal, low, medium, high, xhigh)
/reasoning <level> Set reasoning effort (none, low, medium, high, xhigh)
/reasoning show|on Show model thinking/reasoning in output
/reasoning hide|off Hide model thinking/reasoning from output
"""
@@ -5292,7 +5211,7 @@ class HermesCLI:
display_state = "on ✓" if self.show_reasoning else "off"
_cprint(f" {_GOLD}Reasoning effort: {level}{_RST}")
_cprint(f" {_GOLD}Reasoning display: {display_state}{_RST}")
_cprint(f" {_DIM}Usage: /reasoning <none|minimal|low|medium|high|xhigh|show|hide>{_RST}")
_cprint(f" {_DIM}Usage: /reasoning <none|low|medium|high|xhigh|show|hide>{_RST}")
return
arg = parts[1].strip().lower()
@@ -5318,7 +5237,7 @@ class HermesCLI:
parsed = _parse_reasoning_config(arg)
if parsed is None:
_cprint(f" {_DIM}(._.) Unknown argument: {arg}{_RST}")
_cprint(f" {_DIM}Valid levels: none, minimal, low, medium, high, xhigh{_RST}")
_cprint(f" {_DIM}Valid levels: none, low, minimal, medium, high, xhigh{_RST}")
_cprint(f" {_DIM}Display: show, hide{_RST}")
return
@@ -5357,7 +5276,7 @@ class HermesCLI:
approx_tokens = estimate_messages_tokens_rough(self.conversation_history)
print(f"🗜️ Compressing {original_count} messages (~{approx_tokens:,} tokens)...")
compressed, _new_system = self.agent._compress_context(
compressed, new_system = self.agent._compress_context(
self.conversation_history,
self.agent._cached_system_prompt or "",
approx_tokens=approx_tokens,
@@ -5374,27 +5293,12 @@ 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
@@ -5402,7 +5306,13 @@ 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
@@ -6180,7 +6090,6 @@ class HermesCLI:
timeout = 45
response_queue = queue.Queue()
self._capture_modal_input_snapshot()
self._sudo_state = {
"response_queue": response_queue,
}
@@ -6193,7 +6102,6 @@ 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}")
@@ -6208,7 +6116,6 @@ 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 ""
@@ -6381,33 +6288,6 @@ 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
@@ -7135,7 +7015,6 @@ 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
@@ -7207,6 +7086,7 @@ 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
@@ -7411,6 +7291,7 @@ 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
+6 -5
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(
@@ -236,7 +236,6 @@ 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:
@@ -586,9 +585,11 @@ 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
+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)
@@ -541,7 +541,6 @@ 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 +553,6 @@ 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)
-49
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]:
@@ -532,8 +528,6 @@ def load_gateway_config() -> GatewayConfig:
bridged["reply_prefix"] = platform_cfg["reply_prefix"]
if "require_mention" in platform_cfg:
bridged["require_mention"] = platform_cfg["require_mention"]
if "free_response_channels" in platform_cfg:
bridged["free_response_channels"] = platform_cfg["free_response_channels"]
if "mention_patterns" in platform_cfg:
bridged["mention_patterns"] = platform_cfg["mention_patterns"]
if not bridged:
@@ -548,19 +542,6 @@ def load_gateway_config() -> GatewayConfig:
plat_data["extra"] = extra
extra.update(bridged)
# Slack settings → env vars (env vars take precedence)
slack_cfg = yaml_cfg.get("slack", {})
if isinstance(slack_cfg, dict):
if "require_mention" in slack_cfg and not os.getenv("SLACK_REQUIRE_MENTION"):
os.environ["SLACK_REQUIRE_MENTION"] = str(slack_cfg["require_mention"]).lower()
if "allow_bots" in slack_cfg and not os.getenv("SLACK_ALLOW_BOTS"):
os.environ["SLACK_ALLOW_BOTS"] = str(slack_cfg["allow_bots"]).lower()
frc = slack_cfg.get("free_response_channels")
if frc is not None and not os.getenv("SLACK_FREE_RESPONSE_CHANNELS"):
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["SLACK_FREE_RESPONSE_CHANNELS"] = str(frc)
# Discord settings → env vars (env vars take precedence)
discord_cfg = yaml_cfg.get("discord", {})
if isinstance(discord_cfg, dict):
@@ -731,13 +712,6 @@ 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:
@@ -967,29 +941,6 @@ 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:
+61
View File
@@ -124,6 +124,53 @@ class DeliveryRouter:
self.adapters = adapters or {}
self.output_dir = get_hermes_home() / "cron" / "output"
def resolve_targets(
self,
deliver: Union[str, List[str]],
origin: Optional[SessionSource] = None
) -> List[DeliveryTarget]:
"""
Resolve delivery specification to concrete targets.
Args:
deliver: Delivery spec - "origin", "telegram", ["local", "discord"], etc.
origin: The source where the request originated (for "origin" target)
Returns:
List of resolved delivery targets
"""
if isinstance(deliver, str):
deliver = [deliver]
targets = []
seen_platforms = set()
for target_str in deliver:
target = DeliveryTarget.parse(target_str, origin)
# Resolve home channel if needed
if target.chat_id is None and target.platform != Platform.LOCAL:
home = self.config.get_home_channel(target.platform)
if home:
target.chat_id = home.chat_id
else:
# No home channel configured, skip this platform
continue
# Deduplicate
key = (target.platform, target.chat_id, target.thread_id)
if key not in seen_platforms:
seen_platforms.add(key)
targets.append(target)
# Always include local if configured
if self.config.always_log_local:
local_key = (Platform.LOCAL, None, None)
if local_key not in seen_platforms:
targets.append(DeliveryTarget(platform=Platform.LOCAL))
return targets
async def deliver(
self,
content: str,
@@ -252,5 +299,19 @@ class DeliveryRouter:
return await adapter.send(target.chat_id, content, metadata=send_metadata or None)
def parse_deliver_spec(
deliver: Optional[Union[str, List[str]]],
origin: Optional[SessionSource] = None,
default: str = "origin"
) -> Union[str, List[str]]:
"""
Normalize a delivery specification.
If None or empty, returns the default.
"""
if not deliver:
return default
return deliver
+1 -130
View File
@@ -10,142 +10,18 @@ import logging
import os
import random
import re
import subprocess
import sys
import uuid
from abc import ABC, abstractmethod
from urllib.parse import urlsplit
logger = logging.getLogger(__name__)
def _detect_macos_system_proxy() -> str | None:
"""Read the macOS system HTTP(S) proxy via ``scutil --proxy``.
Returns an ``http://host:port`` URL string if an HTTP or HTTPS proxy is
enabled, otherwise *None*. Falls back silently on non-macOS or on any
subprocess error.
"""
if sys.platform != "darwin":
return None
try:
out = subprocess.check_output(
["scutil", "--proxy"], timeout=3, text=True, stderr=subprocess.DEVNULL,
)
except Exception:
return None
props: dict[str, str] = {}
for line in out.splitlines():
line = line.strip()
if " : " in line:
key, _, val = line.partition(" : ")
props[key.strip()] = val.strip()
# Prefer HTTPS, fall back to HTTP
for enable_key, host_key, port_key in (
("HTTPSEnable", "HTTPSProxy", "HTTPSPort"),
("HTTPEnable", "HTTPProxy", "HTTPPort"),
):
if props.get(enable_key) == "1":
host = props.get(host_key)
port = props.get(port_key)
if host and port:
return f"http://{host}:{port}"
return None
def resolve_proxy_url(platform_env_var: str | None = None) -> str | None:
"""Return a proxy URL from env vars, or macOS system proxy.
Check order:
0. *platform_env_var* (e.g. ``DISCORD_PROXY``) highest priority
1. HTTPS_PROXY / HTTP_PROXY / ALL_PROXY (and lowercase variants)
2. macOS system proxy via ``scutil --proxy`` (auto-detect)
Returns *None* if no proxy is found.
"""
if platform_env_var:
value = (os.environ.get(platform_env_var) or "").strip()
if value:
return value
for key in ("HTTPS_PROXY", "HTTP_PROXY", "ALL_PROXY",
"https_proxy", "http_proxy", "all_proxy"):
value = (os.environ.get(key) or "").strip()
if value:
return value
return _detect_macos_system_proxy()
def proxy_kwargs_for_bot(proxy_url: str | None) -> dict:
"""Build kwargs for ``commands.Bot()`` / ``discord.Client()`` with proxy.
Returns:
- SOCKS URL ``{"connector": ProxyConnector(..., rdns=True)}``
- HTTP URL ``{"proxy": url}``
- *None* ``{}``
``rdns=True`` forces remote DNS resolution through the proxy required
by many SOCKS implementations (Shadowrocket, Clash) and essential for
bypassing DNS pollution behind the GFW.
"""
if not proxy_url:
return {}
if proxy_url.lower().startswith("socks"):
try:
from aiohttp_socks import ProxyConnector
connector = ProxyConnector.from_url(proxy_url, rdns=True)
return {"connector": connector}
except ImportError:
logger.warning(
"aiohttp_socks not installed — SOCKS proxy %s ignored. "
"Run: pip install aiohttp-socks",
proxy_url,
)
return {}
return {"proxy": proxy_url}
def proxy_kwargs_for_aiohttp(proxy_url: str | None) -> tuple[dict, dict]:
"""Build kwargs for standalone ``aiohttp.ClientSession`` with proxy.
Returns ``(session_kwargs, request_kwargs)`` where:
- SOCKS ``({"connector": ProxyConnector(...)}, {})``
- HTTP ``({}, {"proxy": url})``
- None ``({}, {})``
Usage::
sess_kw, req_kw = proxy_kwargs_for_aiohttp(proxy_url)
async with aiohttp.ClientSession(**sess_kw) as session:
async with session.get(url, **req_kw) as resp:
...
"""
if not proxy_url:
return {}, {}
if proxy_url.lower().startswith("socks"):
try:
from aiohttp_socks import ProxyConnector
connector = ProxyConnector.from_url(proxy_url, rdns=True)
return {"connector": connector}, {}
except ImportError:
logger.warning(
"aiohttp_socks not installed — SOCKS proxy %s ignored. "
"Run: pip install aiohttp-socks",
proxy_url,
)
return {}, {}
return {}, {"proxy": proxy_url}
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Optional, Any, Callable, Awaitable, Tuple
from enum import Enum
import sys
from pathlib import Path as _Path
sys.path.insert(0, str(_Path(__file__).resolve().parents[2]))
@@ -422,7 +298,6 @@ 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",
@@ -532,10 +407,6 @@ 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)
-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")
+14 -51
View File
@@ -455,9 +455,6 @@ 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."""
@@ -529,17 +526,10 @@ class DiscordAdapter(BasePlatformAdapter):
intents.members = any(not entry.isdigit() for entry in self._allowed_user_ids)
intents.voice_states = True
# Resolve proxy (DISCORD_PROXY > generic env vars > macOS system proxy)
from gateway.platforms.base import resolve_proxy_url, proxy_kwargs_for_bot
proxy_url = resolve_proxy_url(platform_env_var="DISCORD_PROXY")
if proxy_url:
logger.info("[%s] Using proxy for Discord: %s", self.name, proxy_url)
# Create bot — proxy= for HTTP, connector= for SOCKS
# Create bot
self._client = commands.Bot(
command_prefix="!", # Not really used, we handle raw messages
intents=intents,
**proxy_kwargs_for_bot(proxy_url),
)
adapter_self = self # capture for closure
@@ -784,7 +774,7 @@ 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
@@ -792,10 +782,7 @@ 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,
@@ -1314,11 +1301,8 @@ class DiscordAdapter(BasePlatformAdapter):
# Download the image and send as a Discord file attachment
# (Discord renders attachments inline, unlike plain URLs)
from gateway.platforms.base import resolve_proxy_url, proxy_kwargs_for_aiohttp
_proxy = resolve_proxy_url(platform_env_var="DISCORD_PROXY")
_sess_kw, _req_kw = proxy_kwargs_for_aiohttp(_proxy)
async with aiohttp.ClientSession(**_sess_kw) as session:
async with session.get(image_url, timeout=aiohttp.ClientTimeout(total=30), **_req_kw) as resp:
async with aiohttp.ClientSession() as session:
async with session.get(image_url, timeout=aiohttp.ClientTimeout(total=30)) as resp:
if resp.status != 200:
raise Exception(f"Failed to download image: HTTP {resp.status}")
@@ -1595,7 +1579,7 @@ class DiscordAdapter(BasePlatformAdapter):
await self._run_simple_slash(interaction, f"/model {name}".strip())
@tree.command(name="reasoning", description="Show or change reasoning effort")
@discord.app_commands.describe(effort="Reasoning effort: none, minimal, low, medium, high, or xhigh.")
@discord.app_commands.describe(effort="Reasoning effort: xhigh, high, medium, low, minimal, or none.")
async def slash_reasoning(interaction: discord.Interaction, effort: str = ""):
await self._run_simple_slash(interaction, f"/reasoning {effort}".strip())
@@ -1777,9 +1761,8 @@ 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),
@@ -1853,10 +1836,6 @@ 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,
@@ -1864,7 +1843,6 @@ 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(
@@ -2150,15 +2128,6 @@ 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"))
@@ -2326,10 +2295,8 @@ 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(
@@ -2392,7 +2359,7 @@ 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",
@@ -2401,14 +2368,10 @@ class DiscordAdapter(BasePlatformAdapter):
else:
try:
import aiohttp
from gateway.platforms.base import resolve_proxy_url, proxy_kwargs_for_aiohttp
_proxy = resolve_proxy_url(platform_env_var="DISCORD_PROXY")
_sess_kw, _req_kw = proxy_kwargs_for_aiohttp(_proxy)
async with aiohttp.ClientSession(**_sess_kw) as session:
async with aiohttp.ClientSession() as session:
async with session.get(
att.url,
timeout=aiohttp.ClientTimeout(total=30),
**_req_kw,
) as resp:
if resp.status != 200:
raise Exception(f"HTTP {resp.status}")
@@ -2420,9 +2383,9 @@ 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}"
+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
# ------------------------------------------------------------------
+69 -379
View File
@@ -14,8 +14,7 @@ import logging
import os
import re
import time
from dataclasses import dataclass, field
from typing import Dict, Optional, Any, Tuple
from typing import Dict, Optional, Any
try:
from slack_bolt.async_app import AsyncApp
@@ -46,14 +45,6 @@ from gateway.platforms.base import (
logger = logging.getLogger(__name__)
@dataclass
class _ThreadContextCache:
"""Cache entry for fetched thread context."""
content: str
fetched_at: float = field(default_factory=time.monotonic)
message_count: int = 0
def check_slack_requirements() -> bool:
"""Check if Slack dependencies are available."""
return SLACK_AVAILABLE
@@ -104,15 +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
# Cache for _fetch_thread_context results: cache_key → _ThreadContextCache
self._thread_context_cache: Dict[str, _ThreadContextCache] = {}
self._THREAD_CACHE_TTL = 60.0
async def connect(self) -> bool:
"""Connect to Slack via Socket Mode."""
@@ -199,14 +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):
@@ -293,7 +267,6 @@ class SlackAdapter(BasePlatformAdapter):
kwargs = {
"channel": chat_id,
"text": chunk,
"mrkdwn": True,
}
if thread_ts:
kwargs["thread_ts"] = thread_ts
@@ -336,7 +309,9 @@ class SlackAdapter(BasePlatformAdapter):
if not self._app:
return SendResult(success=False, error="Not connected")
try:
# Convert standard markdown → Slack mrkdwn
formatted = self.format_message(content)
await self._get_client(chat_id).chat_update(
channel=chat_id,
ts=message_id,
@@ -468,36 +443,13 @@ class SlackAdapter(BasePlatformAdapter):
text = re.sub(r'(`[^`]+`)', lambda m: _ph(m.group(0)), text)
# 3) Convert markdown links [text](url) → <url|text>
def _convert_markdown_link(m):
label = m.group(1)
url = m.group(2).strip()
if url.startswith('<') and url.endswith('>'):
url = url[1:-1].strip()
return _ph(f'<{url}|{label}>')
text = re.sub(
r'\[([^\]]+)\]\(([^()]*(?:\([^()]*\)[^()]*)*)\)',
_convert_markdown_link,
r'\[([^\]]+)\]\(([^)]+)\)',
lambda m: _ph(f'<{m.group(2)}|{m.group(1)}>'),
text,
)
# 4) Protect existing Slack entities/manual links so escaping and later
# formatting passes don't break them.
text = re.sub(
r'(<(?:[@#!]|(?:https?|mailto|tel):)[^>\n]+>)',
lambda m: _ph(m.group(1)),
text,
)
# 5) Protect blockquote markers before escaping
text = re.sub(r'^(>+\s)', lambda m: _ph(m.group(0)), text, flags=re.MULTILINE)
# 6) Escape Slack control characters in remaining plain text.
# Unescape first so already-escaped input doesn't get double-escaped.
text = text.replace('&amp;', '&').replace('&lt;', '<').replace('&gt;', '>')
text = text.replace('&', '&amp;').replace('<', '&lt;').replace('>', '&gt;')
# 7) Convert headers (## Title) → *Title* (bold)
# 4) Convert headers (## Title) → *Title* (bold)
def _convert_header(m):
inner = m.group(1).strip()
# Strip redundant bold markers inside a header
@@ -508,39 +460,34 @@ class SlackAdapter(BasePlatformAdapter):
r'^#{1,6}\s+(.+)$', _convert_header, text, flags=re.MULTILINE
)
# 8) Convert bold+italic: ***text*** → *_text_* (Slack bold wrapping italic)
text = re.sub(
r'\*\*\*(.+?)\*\*\*',
lambda m: _ph(f'*_{m.group(1)}_*'),
text,
)
# 9) Convert bold: **text** → *text* (Slack bold)
# 5) Convert bold: **text** → *text* (Slack bold)
text = re.sub(
r'\*\*(.+?)\*\*',
lambda m: _ph(f'*{m.group(1)}*'),
text,
)
# 10) Convert italic: _text_ stays as _text_ (already Slack italic)
# Single *text* → _text_ (Slack italic)
# 6) Convert italic: _text_ stays as _text_ (already Slack italic)
# Single *text* → _text_ (Slack italic)
text = re.sub(
r'(?<!\*)\*([^*\n]+)\*(?!\*)',
lambda m: _ph(f'_{m.group(1)}_'),
text,
)
# 11) Convert strikethrough: ~~text~~ → ~text~
# 7) Convert strikethrough: ~~text~~ → ~text~
text = re.sub(
r'~~(.+?)~~',
lambda m: _ph(f'~{m.group(1)}~'),
text,
)
# 12) Blockquotes: > prefix is already protected by step 5 above.
# 8) Convert blockquotes: > text → > text (same syntax, just ensure
# no extra escaping happens to the > character)
# Slack uses the same > prefix, so this is a no-op for content.
# 13) Restore placeholders in reverse order
for key in reversed(placeholders):
# 9) Restore placeholders in reverse order
for key in reversed(list(placeholders.keys())):
text = text.replace(key, placeholders[key])
return text
@@ -808,135 +755,6 @@ 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)
@@ -953,26 +771,9 @@ class SlackAdapter(BasePlatformAdapter):
if v > cutoff
}
# Bot message filtering (SLACK_ALLOW_BOTS / config allow_bots):
# "none" — ignore all bot messages (default, backward-compatible)
# "mentions" — accept bot messages only when they @mention us
# "all" — accept all bot messages (except our own)
# Ignore bot messages (including our own)
if event.get("bot_id") or event.get("subtype") == "bot_message":
allow_bots = self.config.extra.get("allow_bots", "")
if not allow_bots:
allow_bots = os.getenv("SLACK_ALLOW_BOTS", "none")
allow_bots = str(allow_bots).lower().strip()
if allow_bots == "none":
return
elif allow_bots == "mentions":
text_check = event.get("text", "")
if self._bot_user_id and f"<@{self._bot_user_id}>" not in text_check:
return
# "all" falls through to process the message
# Always ignore our own messages to prevent echo loops
msg_user = event.get("user", "")
if msg_user and self._bot_user_id and msg_user == self._bot_user_id:
return
return
# Ignore message edits and deletions
subtype = event.get("subtype")
@@ -980,21 +781,10 @@ 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:
@@ -1002,9 +792,7 @@ 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 in ("im", "mpim") # Both 1:1 and group DMs
is_dm = channel_type == "im"
# Build thread_ts for session keying.
# In channels: fall back to ts so each top-level @mention starts a
@@ -1012,13 +800,11 @@ 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
# In channels, respond if:
# 0. Channel is in free_response_channels, OR require_mention is
# disabled — always process regardless of mention.
# 1. The bot is @mentioned in this message, OR
# 2. The message is a reply in a thread the bot started/participated in, OR
# 3. The message is in a thread where the bot was previously @mentioned, OR
@@ -1028,29 +814,24 @@ class SlackAdapter(BasePlatformAdapter):
event_thread_ts = event.get("thread_ts")
is_thread_reply = bool(event_thread_ts and event_thread_ts != ts)
if not is_dm and bot_uid:
if channel_id in self._slack_free_response_channels():
pass # Free-response channel — always process
elif not self._slack_require_mention():
pass # Mention requirement disabled globally for Slack
elif not is_mentioned:
reply_to_bot_thread = (
is_thread_reply and event_thread_ts in self._bot_message_ts
if not is_dm and bot_uid and not is_mentioned:
reply_to_bot_thread = (
is_thread_reply and event_thread_ts in self._bot_message_ts
)
in_mentioned_thread = (
event_thread_ts is not None
and event_thread_ts in self._mentioned_threads
)
has_session = (
is_thread_reply
and self._has_active_session_for_thread(
channel_id=channel_id,
thread_ts=event_thread_ts,
user_id=user_id,
)
in_mentioned_thread = (
event_thread_ts is not None
and event_thread_ts in self._mentioned_threads
)
has_session = (
is_thread_reply
and self._has_active_session_for_thread(
channel_id=channel_id,
thread_ts=event_thread_ts,
user_id=user_id,
)
)
if not reply_to_bot_thread and not in_mentioned_thread and not has_session:
return
)
if not reply_to_bot_thread and not in_mentioned_thread and not has_session:
return
if is_mentioned:
# Strip the bot mention from the text
@@ -1191,19 +972,14 @@ class SlackAdapter(BasePlatformAdapter):
reply_to_message_id=thread_ts if thread_ts != ts else None,
)
# Only react when bot is directly addressed (DM or @mention).
# In listen-all channels (require_mention=false), reacting to every
# casual message would be noisy.
_should_react = is_dm or is_mentioned
if _should_react:
await self._add_reaction(channel_id, ts, "eyes")
# Add 👀 reaction to acknowledge receipt
await self._add_reaction(channel_id, ts, "eyes")
await self.handle_message(msg_event)
if _should_react:
await self._remove_reaction(channel_id, ts, "eyes")
await self._add_reaction(channel_id, ts, "white_check_mark")
# Replace 👀 with ✅ when done
await self._remove_reaction(channel_id, ts, "eyes")
await self._add_reaction(channel_id, ts, "white_check_mark")
# ----- Approval button support (Block Kit) -----
@@ -1297,20 +1073,6 @@ class SlackAdapter(BasePlatformAdapter):
msg_ts = message.get("ts", "")
channel_id = body.get("channel", {}).get("id", "")
user_name = body.get("user", {}).get("name", "unknown")
user_id = body.get("user", {}).get("id", "")
# Only authorized users may click approval buttons. Button clicks
# bypass the normal message auth flow in gateway/run.py, so we must
# check here as well.
allowed_csv = os.getenv("SLACK_ALLOWED_USERS", "").strip()
if allowed_csv:
allowed_ids = {uid.strip() for uid in allowed_csv.split(",") if uid.strip()}
if "*" not in allowed_ids and user_id not in allowed_ids:
logger.warning(
"[Slack] Unauthorized approval click by %s (%s) — ignoring",
user_name, user_id,
)
return
# Map action_id to approval choice
choice_map = {
@@ -1321,9 +1083,10 @@ class SlackAdapter(BasePlatformAdapter):
}
choice = choice_map.get(action_id, "deny")
# Prevent double-clicks — atomic pop; first caller gets False, others get True (default)
if self._approval_resolved.pop(msg_ts, True):
# Prevent double-clicks
if self._approval_resolved.get(msg_ts, False):
return
self._approval_resolved[msg_ts] = True
# Update the message to show the decision and remove buttons
label_map = {
@@ -1378,7 +1141,8 @@ class SlackAdapter(BasePlatformAdapter):
except Exception as exc:
logger.error("Failed to resolve gateway approval from Slack button: %s", exc)
# (approval state already consumed by atomic pop above)
# Clean up stale approval state
self._approval_resolved.pop(msg_ts, None)
# ----- Thread context fetching -----
@@ -1389,104 +1153,57 @@ class SlackAdapter(BasePlatformAdapter):
"""Fetch recent thread messages to provide context when the bot is
mentioned mid-thread for the first time.
This method is only called when there is NO active session for the
thread (guarded at the call site by _has_active_session_for_thread).
That guard ensures thread messages are prepended only on the very
first turn after that the session history already holds them, so
there is no duplication across subsequent turns.
Results are cached for _THREAD_CACHE_TTL seconds per thread to avoid
hammering conversations.replies (Tier 3, ~50 req/min).
Returns a formatted string with prior thread history, or empty string
on failure or if the thread has no prior messages.
Returns a formatted string with thread history, or empty string on
failure or if the thread is empty (just the parent message).
"""
cache_key = f"{channel_id}:{thread_ts}"
now = time.monotonic()
cached = self._thread_context_cache.get(cache_key)
if cached and (now - cached.fetched_at) < self._THREAD_CACHE_TTL:
return cached.content
try:
client = self._get_client(channel_id)
# Retry with exponential backoff for Tier-3 rate limits (429).
result = None
for attempt in range(3):
try:
result = await client.conversations_replies(
channel=channel_id,
ts=thread_ts,
limit=limit + 1, # +1 because it includes the current message
inclusive=True,
)
break
except Exception as exc:
# Check for rate-limit error from slack_sdk
err_str = str(exc).lower()
is_rate_limit = (
"ratelimited" in err_str
or "429" in err_str
or "rate_limited" in err_str
)
if is_rate_limit and attempt < 2:
retry_after = 1.0 * (2 ** attempt) # 1s, 2s
logger.warning(
"[Slack] conversations.replies rate limited; retrying in %.1fs (attempt %d/3)",
retry_after, attempt + 1,
)
await asyncio.sleep(retry_after)
continue
raise
if result is None:
return ""
result = await client.conversations_replies(
channel=channel_id,
ts=thread_ts,
limit=limit + 1, # +1 because it includes the current message
inclusive=True,
)
messages = result.get("messages", [])
if not messages:
return ""
bot_uid = self._team_bot_user_ids.get(team_id, self._bot_user_id)
context_parts = []
for msg in messages:
msg_ts = msg.get("ts", "")
# Exclude the current triggering message — it will be delivered
# as the user message itself, so including it here would duplicate it.
# Skip the current message (the one that triggered this fetch)
if msg_ts == current_ts:
continue
# Exclude our own bot messages to avoid circular context.
# Skip bot messages from ourselves
if msg.get("bot_id") or msg.get("subtype") == "bot_message":
continue
msg_user = msg.get("user", "unknown")
msg_text = msg.get("text", "").strip()
if not msg_text:
continue
# Strip bot mentions from context messages
bot_uid = self._team_bot_user_ids.get(team_id, self._bot_user_id)
if bot_uid:
msg_text = msg_text.replace(f"<@{bot_uid}>", "").strip()
msg_user = msg.get("user", "unknown")
# Mark the thread parent
is_parent = msg_ts == thread_ts
prefix = "[thread parent] " if is_parent else ""
# Resolve user name (cached)
name = await self._resolve_user_name(msg_user, chat_id=channel_id)
context_parts.append(f"{prefix}{name}: {msg_text}")
content = ""
if context_parts:
content = (
"[Thread context — prior messages in this thread (not yet in conversation history):]\n"
+ "\n".join(context_parts)
+ "\n[End of thread context]\n\n"
)
if not context_parts:
return ""
self._thread_context_cache[cache_key] = _ThreadContextCache(
content=content,
fetched_at=now,
message_count=len(context_parts),
return (
"[Thread context — previous messages in this thread:]\n"
+ "\n".join(context_parts)
+ "\n[End of thread context]\n\n"
)
return content
except Exception as e:
logger.warning("[Slack] Failed to fetch thread context: %s", e)
return ""
@@ -1642,30 +1359,3 @@ class SlackAdapter(BasePlatformAdapter):
continue
raise
raise last_exc
# ── Channel mention gating ─────────────────────────────────────────────
def _slack_require_mention(self) -> bool:
"""Return whether channel messages require an explicit bot mention.
Uses explicit-false parsing (like Discord/Matrix) rather than
truthy parsing, since the safe default is True (gating on).
Unrecognised or empty values keep gating enabled.
"""
configured = self.config.extra.get("require_mention")
if configured is not None:
if isinstance(configured, str):
return configured.lower() not in ("false", "0", "no", "off")
return bool(configured)
return os.getenv("SLACK_REQUIRE_MENTION", "true").lower() not in ("false", "0", "no", "off")
def _slack_free_response_channels(self) -> set:
"""Return channel IDs where no @mention is required."""
raw = self.config.extra.get("free_response_channels")
if raw is None:
raw = os.getenv("SLACK_FREE_RESPONSE_CHANNELS", "")
if isinstance(raw, list):
return {str(part).strip() for part in raw if str(part).strip()}
if isinstance(raw, str) and raw.strip():
return {part.strip() for part in raw.split(",") if part.strip()}
return set()
-9
View File
@@ -1398,15 +1398,6 @@ class TelegramAdapter(BasePlatformAdapter):
await query.answer(text="Invalid approval data.")
return
# Only authorized users may click approval buttons.
caller_id = str(getattr(query.from_user, "id", ""))
allowed_csv = os.getenv("TELEGRAM_ALLOWED_USERS", "").strip()
if allowed_csv:
allowed_ids = {uid.strip() for uid in allowed_csv.split(",") if uid.strip()}
if "*" not in allowed_ids and caller_id not in allowed_ids:
await query.answer(text="⛔ You are not authorized to approve commands.")
return
session_key = self._approval_state.pop(approval_id, None)
if not session_key:
await query.answer(text="This approval has already been resolved.")
+5 -3
View File
@@ -45,9 +45,11 @@ _SEED_FALLBACK_IPS: list[str] = ["149.154.167.220"]
def _resolve_proxy_url() -> str | None:
# Delegate to shared implementation (env vars + macOS system proxy detection)
from gateway.platforms.base import resolve_proxy_url
return resolve_proxy_url()
for key in ("HTTPS_PROXY", "HTTP_PROXY", "ALL_PROXY", "https_proxy", "http_proxy", "all_proxy"):
value = (os.environ.get(key) or "").strip()
if value:
return value
return None
class TelegramFallbackTransport(httpx.AsyncBaseTransport):
+37 -116
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", "")
@@ -514,6 +512,12 @@ class GatewayRunner:
self._agent_cache: Dict[str, tuple] = {}
self._agent_cache_lock = _threading.Lock()
# Track active fallback model/provider when primary is rate-limited.
# Set after an agent run where fallback was activated; cleared when
# the primary model succeeds again or the user switches via /model.
self._effective_model: Optional[str] = None
self._effective_provider: Optional[str] = None
# Per-session model overrides from /model command.
# Key: session_key, Value: dict with model/provider/api_key/base_url/api_mode
self._session_model_overrides: Dict[str, Dict[str, str]] = {}
@@ -917,11 +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: "none",
"minimal", "low", "medium", "high", "xhigh". 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 = ""
@@ -934,6 +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)
@@ -1069,7 +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(
@@ -1080,8 +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(
@@ -1479,14 +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'):
@@ -1652,13 +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:
@@ -1697,7 +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",
@@ -1712,7 +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)
@@ -1786,11 +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":
@@ -3292,15 +3277,6 @@ 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 "",
@@ -3314,7 +3290,7 @@ 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()
@@ -3325,18 +3301,9 @@ 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
@@ -4834,7 +4801,7 @@ class GatewayRunner:
Usage:
/reasoning Show current effort level and display state
/reasoning <level> Set reasoning effort (none, minimal, low, medium, high, xhigh)
/reasoning <level> Set reasoning effort (none, low, medium, high, xhigh)
/reasoning show|on Show model reasoning in responses
/reasoning hide|off Hide model reasoning from responses
"""
@@ -4879,7 +4846,7 @@ class GatewayRunner:
"🧠 **Reasoning Settings**\n\n"
f"**Effort:** `{level}`\n"
f"**Display:** {display_state}\n\n"
"_Usage:_ `/reasoning <none|minimal|low|medium|high|xhigh|show|hide>`"
"_Usage:_ `/reasoning <none|low|medium|high|xhigh|show|hide>`"
)
# Display toggle
@@ -4897,12 +4864,12 @@ class GatewayRunner:
effort = args.strip()
if effort == "none":
parsed = {"enabled": False}
elif effort in ("minimal", "low", "medium", "high", "xhigh"):
elif effort in ("xhigh", "high", "medium", "low", "minimal"):
parsed = {"enabled": True, "effort": effort}
else:
return (
f"⚠️ Unknown argument: `{effort}`\n\n"
"**Valid levels:** none, minimal, low, medium, high, xhigh\n"
"**Valid levels:** none, low, minimal, medium, high, xhigh\n"
"**Display:** show, hide"
)
@@ -5274,28 +5241,19 @@ 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
@@ -5537,7 +5495,7 @@ 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:
@@ -6177,7 +6135,6 @@ class GatewayRunner:
text=synth_text,
message_type=MessageType.TEXT,
source=_source,
internal=True,
)
logger.info(
"Process %s finished — injecting agent notification for session %s",
@@ -6328,15 +6285,7 @@ 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 = (
@@ -6440,18 +6389,6 @@ 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)
@@ -7146,9 +7083,6 @@ 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)
@@ -7181,25 +7115,6 @@ 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
@@ -7274,9 +7189,15 @@ class GatewayRunner:
if _agent is not None and hasattr(_agent, 'model'):
_cfg_model = _resolve_gateway_model()
if _agent.model != _cfg_model:
self._effective_model = _agent.model
self._effective_provider = getattr(_agent, 'provider', None)
# Fallback activated — evict cached agent so the next
# message starts fresh and retries the primary model.
self._evict_cached_agent(session_key)
else:
# Primary model worked — clear any stale fallback state
self._effective_model = None
self._effective_provider = None
# Check if we were interrupted OR have a queued message (/queue).
result = result_holder[0]
+18 -2
View File
@@ -32,6 +32,9 @@ def _now() -> datetime:
# PII redaction helpers
# ---------------------------------------------------------------------------
_PHONE_RE = re.compile(r"^\+?\d[\d\-\s]{6,}$")
def _hash_id(value: str) -> str:
"""Deterministic 12-char hex hash of an identifier."""
return hashlib.sha256(value.encode("utf-8")).hexdigest()[:12]
@@ -55,6 +58,10 @@ def _hash_chat_id(value: str) -> str:
return _hash_id(value)
def _looks_like_phone(value: str) -> bool:
"""Return True if *value* looks like a phone number (E.164 or similar)."""
return bool(_PHONE_RE.match(value.strip()))
from .config import (
Platform,
GatewayConfig,
@@ -137,6 +144,15 @@ class SessionSource:
chat_id_alt=data.get("chat_id_alt"),
)
@classmethod
def local_cli(cls) -> "SessionSource":
"""Create a source representing the local CLI."""
return cls(
platform=Platform.LOCAL,
chat_id="cli",
chat_name="CLI terminal",
chat_type="dm",
)
@dataclass
@@ -177,7 +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>``
@@ -494,7 +509,8 @@ class SessionStore:
"""
def __init__(self, sessions_dir: Path, config: GatewayConfig,
has_active_processes_fn=None):
has_active_processes_fn=None,
on_auto_reset=None):
self.sessions_dir = sessions_dir
self.config = config
self._entries: Dict[str, SessionEntry] = {}
+8 -175
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:
@@ -136,50 +134,16 @@ class GatewayStreamConsumer:
if should_edit and self._accumulated:
# Split overflow: if accumulated text exceeds the platform
# limit, split into properly sized chunks.
if (
len(self._accumulated) > _safe_limit
and self._message_id is None
):
# No existing message to edit (first message or after a
# segment break). Use truncate_message — the same
# helper the non-streaming path uses — to split with
# proper word/code-fence boundaries and chunk
# indicators like "(1/2)".
chunks = self.adapter.truncate_message(
self._accumulated, _safe_limit
)
for chunk in chunks:
await self._send_new_chunk(chunk, self._message_id)
self._accumulated = ""
self._last_sent_text = ""
self._last_edit_time = time.monotonic()
if got_done:
return
if got_segment_break:
self._message_id = None
self._fallback_final_send = False
self._fallback_prefix = ""
continue
# Existing message: edit it with the first chunk, then
# start a new message for the overflow remainder.
# limit, finalize the current message and start a new one.
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 = ""
@@ -192,17 +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
@@ -213,8 +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
@@ -253,114 +207,6 @@ class GatewayStreamConsumer:
# Strip trailing whitespace/newlines but preserve leading content
return cleaned.rstrip()
async def _send_new_chunk(self, text: str, reply_to_id: Optional[str]) -> Optional[str]:
"""Send a new message chunk, optionally threaded to a previous message.
Returns the message_id so callers can thread subsequent chunks.
"""
text = self._clean_for_display(text)
if not text.strip():
return reply_to_id
try:
meta = dict(self.metadata) if self.metadata else {}
result = await self.adapter.send(
chat_id=self.chat_id,
content=text,
reply_to=reply_to_id,
metadata=meta,
)
if result.success and result.message_id:
self._message_id = str(result.message_id)
self._already_sent = True
self._last_sent_text = text
return str(result.message_id)
else:
self._edit_supported = False
return reply_to_id
except Exception as e:
logger.error("Stream send chunk error: %s", e)
return reply_to_id
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.
@@ -386,16 +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
@@ -408,17 +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"
+34 -198
View File
@@ -67,15 +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
# =============================================================================
@@ -115,12 +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",
@@ -249,7 +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.
@@ -826,7 +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",
@@ -956,176 +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
# =============================================================================
@@ -2252,8 +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
@@ -2341,6 +2159,33 @@ def resolve_external_process_provider_credentials(provider_id: str) -> Dict[str,
}
# =============================================================================
# External credential detection
# =============================================================================
def detect_external_credentials() -> List[Dict[str, Any]]:
"""Scan for credentials from other CLI tools that Hermes can reuse.
Returns a list of dicts, each with:
- provider: str -- Hermes provider id (e.g. "openai-codex")
- path: str -- filesystem path where creds were found
- label: str -- human-friendly description for the setup UI
"""
found: List[Dict[str, Any]] = []
# Codex CLI: ~/.codex/auth.json (importable, not shared)
cli_tokens = _import_codex_cli_tokens()
if cli_tokens:
codex_path = Path.home() / ".codex" / "auth.json"
found.append({
"provider": "openai-codex",
"path": str(codex_path),
"label": f"Codex CLI credentials found ({codex_path}) — run `hermes auth` to create a separate session",
})
return found
# =============================================================================
# CLI Commands — login / logout
# =============================================================================
@@ -2989,15 +2834,12 @@ 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:
@@ -3031,6 +2873,9 @@ 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.")
@@ -3042,15 +2887,6 @@ 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.")
+8 -8
View File
@@ -90,6 +90,12 @@ HERMES_CADUCEUS = """[#CD7F32]⠀⢀⣀⡀⠀⣀⣀
[#B8860B]⠀⠈⠳⠈⣡⠞⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀[/]
[#B8860B]⠀⠈⠀[/]"""
COMPACT_BANNER = """
[bold #FFD700]╔══════════════════════════════════════════════════════════════╗[/]
[bold #FFD700]║[/] [#FFBF00]⚕ NOUS HERMES[/] [dim #B8860B]- AI Agent Framework[/] [bold #FFD700]║[/]
[bold #FFD700]║[/] [#CD7F32]Messenger of the Digital Gods[/] [dim #B8860B]Nous Research[/] [bold #FFD700]║[/]
[bold #FFD700]╚══════════════════════════════════════════════════════════════╝[/]
"""
# =========================================================================
@@ -289,16 +295,10 @@ 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)
+140
View File
@@ -0,0 +1,140 @@
"""Shared curses-based multi-select checklist for Hermes CLI.
Used by both ``hermes tools`` and ``hermes skills`` to present a
toggleable list of items. Falls back to a numbered text UI when
curses is unavailable (Windows without curses, piped stdin, etc.).
"""
import sys
from typing import List, Set
from hermes_cli.colors import Colors, color
def curses_checklist(
title: str,
items: List[str],
pre_selected: Set[int],
) -> Set[int]:
"""Multi-select checklist. Returns set of **selected** indices.
Args:
title: Header text shown at the top of the checklist.
items: Display labels for each row.
pre_selected: Indices that start checked.
Returns:
The indices the user confirmed as checked. On cancel (ESC/q),
returns ``pre_selected`` unchanged.
"""
# Safety: return defaults when stdin is not a terminal.
if not sys.stdin.isatty():
return set(pre_selected)
try:
import curses
selected = set(pre_selected)
result = [None]
def _ui(stdscr):
curses.curs_set(0)
if curses.has_colors():
curses.start_color()
curses.use_default_colors()
curses.init_pair(1, curses.COLOR_GREEN, -1)
curses.init_pair(2, curses.COLOR_YELLOW, -1)
curses.init_pair(3, 8, -1) # dim gray
cursor = 0
scroll_offset = 0
while True:
stdscr.clear()
max_y, max_x = stdscr.getmaxyx()
# Header
try:
hattr = curses.A_BOLD | (curses.color_pair(2) if curses.has_colors() else 0)
stdscr.addnstr(0, 0, title, max_x - 1, hattr)
stdscr.addnstr(
1, 0,
" ↑↓ navigate SPACE toggle ENTER confirm ESC cancel",
max_x - 1, curses.A_DIM,
)
except curses.error:
pass
# Scrollable item list
visible_rows = max_y - 3
if cursor < scroll_offset:
scroll_offset = cursor
elif cursor >= scroll_offset + visible_rows:
scroll_offset = cursor - visible_rows + 1
for draw_i, i in enumerate(
range(scroll_offset, min(len(items), scroll_offset + visible_rows))
):
y = draw_i + 3
if y >= max_y - 1:
break
check = "" if i in selected else " "
arrow = "" if i == cursor else " "
line = f" {arrow} [{check}] {items[i]}"
attr = curses.A_NORMAL
if i == cursor:
attr = curses.A_BOLD
if curses.has_colors():
attr |= curses.color_pair(1)
try:
stdscr.addnstr(y, 0, line, max_x - 1, attr)
except curses.error:
pass
stdscr.refresh()
key = stdscr.getch()
if key in (curses.KEY_UP, ord("k")):
cursor = (cursor - 1) % len(items)
elif key in (curses.KEY_DOWN, ord("j")):
cursor = (cursor + 1) % len(items)
elif key == ord(" "):
selected.symmetric_difference_update({cursor})
elif key in (curses.KEY_ENTER, 10, 13):
result[0] = set(selected)
return
elif key in (27, ord("q")):
result[0] = set(pre_selected)
return
curses.wrapper(_ui)
return result[0] if result[0] is not None else set(pre_selected)
except Exception:
pass # fall through to numbered fallback
# ── Numbered text fallback ────────────────────────────────────────────
selected = set(pre_selected)
print(color(f"\n {title}", Colors.YELLOW))
print(color(" Toggle by number, Enter to confirm.\n", Colors.DIM))
while True:
for i, label in enumerate(items):
check = "" if i in selected else " "
print(f" {i + 1:3}. [{check}] {label}")
print()
try:
raw = input(color(" Number to toggle, 's' to save, 'q' to cancel: ", Colors.DIM)).strip()
except (KeyboardInterrupt, EOFError):
return set(pre_selected)
if raw.lower() == "s" or raw == "":
return selected
if raw.lower() == "q":
return set(pre_selected)
try:
idx = int(raw) - 1
if 0 <= idx < len(items):
selected.symmetric_difference_update({idx})
except ValueError:
print(color(" Invalid input", Colors.DIM))
+10 -3
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",
@@ -99,7 +100,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
"Configuration"),
CommandDef("reasoning", "Manage reasoning effort and display", "Configuration",
args_hint="[level|show|hide]",
subcommands=("none", "minimal", "low", "medium", "high", "xhigh", "show", "hide", "on", "off")),
subcommands=("none", "low", "minimal", "medium", "high", "xhigh", "show", "hide", "on", "off")),
CommandDef("skin", "Show or change the display skin/theme", "Configuration",
cli_only=True, args_hint="[name]"),
CommandDef("voice", "Toggle voice mode", "Configuration",
@@ -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",
@@ -169,6 +170,12 @@ def resolve_command(name: str) -> CommandDef | None:
return _COMMAND_LOOKUP.get(name.lower().lstrip("/"))
def register_plugin_command(cmd: CommandDef) -> None:
"""Append a plugin-defined command to the registry and refresh lookups."""
COMMAND_REGISTRY.append(cmd)
rebuild_lookups()
def rebuild_lookups() -> None:
"""Rebuild all derived lookup dicts from the current COMMAND_REGISTRY.
+10 -113
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)
@@ -197,44 +183,14 @@ def _ensure_default_soul_md(home: Path) -> None:
def ensure_hermes_home():
"""Ensure ~/.hermes directory structure exists with secure permissions.
In managed mode (NixOS), dirs are created by the activation script with
setgid + group-writable (2770). We skip mkdir and set umask(0o007) so
any files created (e.g. SOUL.md) are group-writable (0660).
"""
"""Ensure ~/.hermes directory structure exists with secure permissions."""
home = get_hermes_home()
if is_managed():
old_umask = os.umask(0o007)
try:
_ensure_hermes_home_managed(home)
finally:
os.umask(old_umask)
else:
home.mkdir(parents=True, exist_ok=True)
_secure_dir(home)
for subdir in ("cron", "sessions", "logs", "memories"):
d = home / subdir
d.mkdir(parents=True, exist_ok=True)
_secure_dir(d)
_ensure_default_soul_md(home)
def _ensure_hermes_home_managed(home: Path):
"""Managed-mode variant: verify dirs exist (activation creates them), seed SOUL.md."""
if not home.is_dir():
raise RuntimeError(
f"HERMES_HOME {home} does not exist. "
"Run 'sudo nixos-rebuild switch' first."
)
home.mkdir(parents=True, exist_ok=True)
_secure_dir(home)
for subdir in ("cron", "sessions", "logs", "memories"):
d = home / subdir
if not d.is_dir():
raise RuntimeError(
f"{d} does not exist. "
"Run 'sudo nixos-rebuild switch' first."
)
# Inside umask(0o007) scope — SOUL.md will be created as 0660
d.mkdir(parents=True, exist_ok=True)
_secure_dir(d)
_ensure_default_soul_md(home)
@@ -261,10 +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": {
@@ -427,7 +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)
},
@@ -462,7 +413,7 @@ 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
@@ -470,9 +421,6 @@ DEFAULT_CONFIG = {
"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": {
@@ -599,7 +547,7 @@ DEFAULT_CONFIG = {
},
# Config schema version - bump this when adding new required fields
"_config_version": 13,
"_config_version": 12,
}
# =============================================================================
@@ -776,14 +724,6 @@ 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",
@@ -1035,13 +975,6 @@ 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, "
@@ -1155,27 +1088,6 @@ 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)",
@@ -1247,7 +1159,7 @@ 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,
@@ -1731,21 +1643,6 @@ 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}")
+12
View File
@@ -31,6 +31,13 @@ logger = logging.getLogger(__name__)
# OAuth device code flow constants (same client ID as opencode/Copilot CLI)
COPILOT_OAUTH_CLIENT_ID = "Ov23li8tweQw6odWQebz"
COPILOT_DEVICE_CODE_URL = "https://github.com/login/device/code"
COPILOT_ACCESS_TOKEN_URL = "https://github.com/login/oauth/access_token"
# Copilot API constants
COPILOT_TOKEN_EXCHANGE_URL = "https://api.github.com/copilot_internal/v2/token"
COPILOT_API_BASE_URL = "https://api.githubcopilot.com"
# Token type prefixes
_CLASSIC_PAT_PREFIX = "ghp_"
_SUPPORTED_PREFIXES = ("gho_", "github_pat_", "ghu_")
@@ -43,6 +50,11 @@ _DEVICE_CODE_POLL_INTERVAL = 5 # seconds
_DEVICE_CODE_POLL_SAFETY_MARGIN = 3 # seconds
def is_classic_pat(token: str) -> bool:
"""Check if a token is a classic PAT (ghp_*), which Copilot doesn't support."""
return token.strip().startswith(_CLASSIC_PAT_PREFIX)
def validate_copilot_token(token: str) -> tuple[bool, str]:
"""Validate that a token is usable with the Copilot API.
+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
-332
View File
@@ -1,332 +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 _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)
+13 -28
View File
@@ -308,6 +308,8 @@ def get_service_name() -> str:
return f"{_SERVICE_BASE}-{suffix}"
SERVICE_NAME = _SERVICE_BASE # backward-compat for external importers; prefer get_service_name()
def get_systemd_unit_path(system: bool = False) -> Path:
name = get_service_name()
@@ -579,6 +581,17 @@ def get_python_path() -> str:
return str(venv_python)
return sys.executable
def get_hermes_cli_path() -> str:
"""Get the path to the hermes CLI."""
# Check if installed via pip
import shutil
hermes_bin = shutil.which("hermes")
if hermes_bin:
return hermes_bin
# Fallback to direct module execution
return f"{get_python_path()} -m hermes_cli.main"
# =============================================================================
# Systemd (Linux)
@@ -1575,34 +1588,6 @@ _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."},
],
},
]
+2 -85
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 = ""
@@ -1811,10 +1753,7 @@ def _set_reasoning_effort(config, effort: str) -> None:
def _prompt_reasoning_effort_selection(efforts, current_effort=""):
"""Prompt for a reasoning effort. Returns effort, 'none', or None to keep current."""
deduped = list(dict.fromkeys(str(effort).strip().lower() for effort in efforts if str(effort).strip()))
canonical_order = ("minimal", "low", "medium", "high", "xhigh")
ordered = [effort for effort in canonical_order if effort in deduped]
ordered.extend(effort for effort in deduped if effort not in canonical_order)
ordered = list(dict.fromkeys(str(effort).strip().lower() for effort in efforts if str(effort).strip()))
if not ordered:
return None
@@ -2646,12 +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
@@ -4733,22 +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
+28 -1
View File
@@ -84,7 +84,6 @@ _PASSTHROUGH_PROVIDERS: frozenset[str] = frozenset({
"minimax",
"minimax-cn",
"alibaba",
"qwen-oauth",
"huggingface",
"openai-codex",
"custom",
@@ -332,3 +331,31 @@ def normalize_model_for_provider(model_input: str, target_provider: str) -> str:
# Batch / convenience helpers
# ---------------------------------------------------------------------------
def model_display_name(model_id: str) -> str:
"""Return a short, human-readable display name for a model id.
Strips the vendor prefix (if any) for a cleaner display in menus
and status bars, while preserving dots for readability.
Examples::
>>> model_display_name("anthropic/claude-sonnet-4.6")
'claude-sonnet-4.6'
>>> model_display_name("claude-sonnet-4-6")
'claude-sonnet-4-6'
"""
return _strip_vendor_prefix((model_id or "").strip())
def is_aggregator_provider(provider: str) -> bool:
"""Check if a provider is an aggregator that needs vendor/model format."""
return (provider or "").strip().lower() in _AGGREGATOR_PROVIDERS
def vendor_for_model(model_name: str) -> str:
"""Return the vendor slug for a model, or ``""`` if unknown.
Convenience wrapper around :func:`detect_vendor` that never returns
``None``.
"""
return detect_vendor(model_name) or ""
+75 -15
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)
@@ -859,3 +848,74 @@ def list_authenticated_providers(
return results
# ---------------------------------------------------------------------------
# Fuzzy suggestions
# ---------------------------------------------------------------------------
def suggest_models(raw_input: str, limit: int = 3) -> List[str]:
"""Return fuzzy model suggestions for a (possibly misspelled) input."""
query = raw_input.strip()
if not query:
return []
results = search_models_dev(query, limit=limit)
suggestions: list[str] = []
for r in results:
mid = r.get("model_id", "")
if mid:
suggestions.append(mid)
return suggestions[:limit]
# ---------------------------------------------------------------------------
# Custom provider switch
# ---------------------------------------------------------------------------
def switch_to_custom_provider() -> CustomAutoResult:
"""Handle bare '/model --provider custom' — resolve endpoint and auto-detect model."""
from hermes_cli.runtime_provider import (
resolve_runtime_provider,
_auto_detect_local_model,
)
try:
runtime = resolve_runtime_provider(requested="custom")
except Exception as e:
return CustomAutoResult(
success=False,
error_message=f"Could not resolve custom endpoint: {e}",
)
cust_base = runtime.get("base_url", "")
cust_key = runtime.get("api_key", "")
if not cust_base or "openrouter.ai" in cust_base:
return CustomAutoResult(
success=False,
error_message=(
"No custom endpoint configured. "
"Set model.base_url in config.yaml, or set OPENAI_BASE_URL "
"in .env, or run: hermes setup -> Custom OpenAI-compatible endpoint"
),
)
detected_model = _auto_detect_local_model(cust_base)
if not detected_model:
return CustomAutoResult(
success=False,
base_url=cust_base,
api_key=cust_key,
error_message=(
f"Custom endpoint at {cust_base} is reachable but no single "
f"model was auto-detected. Specify the model explicitly: "
f"/model <model-name> --provider custom"
),
)
return CustomAutoResult(
success=True,
model=detected_model,
base_url=cust_base,
api_key=cust_key,
)
+44 -4
View File
@@ -20,6 +20,10 @@ COPILOT_EDITOR_VERSION = "vscode/1.104.1"
COPILOT_REASONING_EFFORTS_GPT5 = ["minimal", "low", "medium", "high"]
COPILOT_REASONING_EFFORTS_O_SERIES = ["low", "medium", "high"]
# Backward-compatible aliases for the earlier GitHub Models-backed Copilot work.
GITHUB_MODELS_BASE_URL = COPILOT_BASE_URL
GITHUB_MODELS_CATALOG_URL = COPILOT_MODELS_URL
# (model_id, display description shown in menus)
OPENROUTER_MODELS: list[tuple[str, str]] = [
("anthropic/claude-opus-4.6", "recommended"),
@@ -412,6 +416,12 @@ _FREE_TIER_CACHE_TTL: int = 180 # seconds (3 minutes)
_free_tier_cache: tuple[bool, float] | None = None # (result, timestamp)
def clear_nous_free_tier_cache() -> None:
"""Invalidate the cached free-tier result (e.g. after login/logout)."""
global _free_tier_cache
_free_tier_cache = None
def check_nous_free_tier() -> bool:
"""Check if the current Nous Portal user is on a free (unpaid) tier.
@@ -473,7 +483,6 @@ _PROVIDER_LABELS = {
"ai-gateway": "AI Gateway",
"kilocode": "Kilo Code",
"alibaba": "Alibaba Cloud (DashScope)",
"qwen-oauth": "Qwen OAuth (Portal)",
"huggingface": "Hugging Face",
"custom": "Custom endpoint",
}
@@ -513,7 +522,6 @@ _PROVIDER_ALIASES = {
"aliyun": "alibaba",
"qwen": "alibaba",
"alibaba-cloud": "alibaba",
"qwen-portal": "qwen-oauth",
"hf": "huggingface",
"hugging-face": "huggingface",
"huggingface-hub": "huggingface",
@@ -525,6 +533,14 @@ def model_ids() -> list[str]:
return [mid for mid, _ in OPENROUTER_MODELS]
def menu_labels() -> list[str]:
"""Return display labels like 'anthropic/claude-opus-4.6 (recommended)'."""
labels = []
for mid, desc in OPENROUTER_MODELS:
labels.append(f"{mid} ({desc})" if desc else mid)
return labels
# ---------------------------------------------------------------------------
# Pricing helpers — fetch live pricing from OpenRouter-compatible /v1/models
# ---------------------------------------------------------------------------
@@ -557,6 +573,31 @@ def _format_price_per_mtok(per_token_str: str) -> str:
return f"${per_m:.2f}"
def format_pricing_label(pricing: dict[str, str] | None) -> str:
"""Build a compact pricing label like 'in $3 · out $15 · cache $0.30/Mtok'.
Returns empty string when pricing is unavailable.
"""
if not pricing:
return ""
prompt_price = pricing.get("prompt", "")
completion_price = pricing.get("completion", "")
if not prompt_price and not completion_price:
return ""
inp = _format_price_per_mtok(prompt_price)
out = _format_price_per_mtok(completion_price)
if inp == "free" and out == "free":
return "free"
cache_read = pricing.get("input_cache_read", "")
cache_str = _format_price_per_mtok(cache_read) if cache_read else ""
if inp == out and not cache_str:
return f"{inp}/Mtok"
parts = [f"in {inp}", f"out {out}"]
if cache_str and cache_str != "?" and cache_str != inp:
parts.append(f"cache {cache_str}")
return " · ".join(parts) + "/Mtok"
def format_model_pricing_table(
models: list[tuple[str, str]],
pricing_map: dict[str, dict[str, str]],
@@ -726,7 +767,6 @@ 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",
]
@@ -1489,7 +1529,7 @@ 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
+41 -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",
@@ -148,6 +142,10 @@ class ProviderDef:
doc: str = ""
source: str = "" # "models.dev", "hermes", "user-config"
@property
def is_user_defined(self) -> bool:
return self.source == "user-config"
# -- Aliases ------------------------------------------------------------------
# Maps human-friendly / legacy names to canonical provider IDs.
@@ -258,6 +256,12 @@ def normalize_provider(name: str) -> str:
return ALIASES.get(key, key)
def get_overlay(provider_id: str) -> Optional[HermesOverlay]:
"""Get Hermes overlay for a provider, if one exists."""
canonical = normalize_provider(provider_id)
return HERMES_OVERLAYS.get(canonical)
def get_provider(name: str) -> Optional[ProviderDef]:
"""Look up a provider by id or alias, merging all data sources.
@@ -340,6 +344,37 @@ def get_label(provider_id: str) -> str:
return canonical
# For direct import compat, expose as module-level dict
# Built on demand by get_label() calls
LABELS: Dict[str, str] = {
# Static entries for backward compat — get_label() is the proper API
"openrouter": "OpenRouter",
"nous": "Nous Portal",
"openai-codex": "OpenAI Codex",
"copilot-acp": "GitHub Copilot ACP",
"github-copilot": "GitHub Copilot",
"anthropic": "Anthropic",
"zai": "Z.AI / GLM",
"kimi-for-coding": "Kimi / Moonshot",
"minimax": "MiniMax",
"minimax-cn": "MiniMax (China)",
"deepseek": "DeepSeek",
"alibaba": "Alibaba Cloud (DashScope)",
"vercel": "Vercel AI Gateway",
"opencode": "OpenCode Zen",
"opencode-go": "OpenCode Go",
"kilo": "Kilo Gateway",
"huggingface": "Hugging Face",
"local": "Local endpoint",
"custom": "Custom endpoint",
# Legacy Hermes IDs (point to same providers)
"ai-gateway": "Vercel AI Gateway",
"kilocode": "Kilo Gateway",
"copilot": "GitHub Copilot",
"kimi-coding": "Kimi / Moonshot",
"opencode-zen": "OpenCode Zen",
}
def is_aggregator(provider: str) -> bool:
"""Return True when the provider is a multi-model aggregator."""
-23
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()
@@ -696,24 +691,6 @@ 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 {
+164 -242
View File
@@ -172,6 +172,147 @@ def _setup_copilot_reasoning_selection(
_set_reasoning_effort(config, "none")
def _setup_provider_model_selection(config, provider_id, current_model, prompt_choice, prompt_fn):
"""Model selection for API-key providers with live /models detection.
Tries the provider's /models endpoint first. Falls back to a
hardcoded default list with a warning if the endpoint is unreachable.
Always offers a 'Custom model' escape hatch.
"""
from hermes_cli.auth import PROVIDER_REGISTRY, resolve_api_key_provider_credentials
from hermes_cli.config import get_env_value
from hermes_cli.models import (
copilot_model_api_mode,
fetch_api_models,
fetch_github_model_catalog,
normalize_copilot_model_id,
normalize_opencode_model_id,
opencode_model_api_mode,
)
pconfig = PROVIDER_REGISTRY[provider_id]
is_copilot_catalog_provider = provider_id in {"copilot", "copilot-acp"}
# Resolve API key and base URL for the probe
if is_copilot_catalog_provider:
api_key = ""
if provider_id == "copilot":
creds = resolve_api_key_provider_credentials(provider_id)
api_key = creds.get("api_key", "")
base_url = creds.get("base_url", "") or pconfig.inference_base_url
else:
try:
creds = resolve_api_key_provider_credentials("copilot")
api_key = creds.get("api_key", "")
except Exception:
pass
base_url = pconfig.inference_base_url
catalog = fetch_github_model_catalog(api_key)
current_model = normalize_copilot_model_id(
current_model,
catalog=catalog,
api_key=api_key,
) or current_model
else:
api_key = ""
for ev in pconfig.api_key_env_vars:
api_key = get_env_value(ev) or os.getenv(ev, "")
if api_key:
break
base_url_env = pconfig.base_url_env_var or ""
base_url = (get_env_value(base_url_env) if base_url_env else "") or pconfig.inference_base_url
catalog = None
# Try live /models endpoint
if is_copilot_catalog_provider and catalog:
live_models = [item.get("id", "") for item in catalog if item.get("id")]
else:
live_models = fetch_api_models(api_key, base_url)
if live_models:
provider_models = live_models
print_info(f"Found {len(live_models)} model(s) from {pconfig.name} API")
else:
fallback_provider_id = "copilot" if provider_id == "copilot-acp" else provider_id
provider_models = _DEFAULT_PROVIDER_MODELS.get(fallback_provider_id, [])
if provider_models:
print_warning(
f"Could not auto-detect models from {pconfig.name} API — showing defaults.\n"
f" Use \"Custom model\" if the model you expect isn't listed."
)
if provider_id in {"opencode-zen", "opencode-go"}:
provider_models = [normalize_opencode_model_id(provider_id, mid) for mid in provider_models]
current_model = normalize_opencode_model_id(provider_id, current_model)
provider_models = list(dict.fromkeys(mid for mid in provider_models if mid))
model_choices = list(provider_models)
model_choices.append("Custom model")
model_choices.append(f"Keep current ({current_model})")
keep_idx = len(model_choices) - 1
model_idx = prompt_choice("Select default model:", model_choices, keep_idx)
selected_model = current_model
if model_idx < len(provider_models):
selected_model = provider_models[model_idx]
if is_copilot_catalog_provider:
selected_model = normalize_copilot_model_id(
selected_model,
catalog=catalog,
api_key=api_key,
) or selected_model
elif provider_id in {"opencode-zen", "opencode-go"}:
selected_model = normalize_opencode_model_id(provider_id, selected_model)
_set_default_model(config, selected_model)
elif model_idx == len(provider_models):
custom = prompt_fn("Enter model name")
if custom:
if is_copilot_catalog_provider:
selected_model = normalize_copilot_model_id(
custom,
catalog=catalog,
api_key=api_key,
) or custom
elif provider_id in {"opencode-zen", "opencode-go"}:
selected_model = normalize_opencode_model_id(provider_id, custom)
else:
selected_model = custom
_set_default_model(config, selected_model)
else:
# "Keep current" selected — validate it's compatible with the new
# provider. OpenRouter-formatted names (containing "/") won't work
# on direct-API providers and would silently break the gateway.
if "/" in (current_model or "") and provider_models:
print_warning(
f"Current model \"{current_model}\" looks like an OpenRouter model "
f"and won't work with {pconfig.name}. "
f"Switching to {provider_models[0]}."
)
selected_model = provider_models[0]
_set_default_model(config, provider_models[0])
if provider_id == "copilot" and selected_model:
model_cfg = _model_config_dict(config)
model_cfg["api_mode"] = copilot_model_api_mode(
selected_model,
catalog=catalog,
api_key=api_key,
)
config["model"] = model_cfg
_setup_copilot_reasoning_selection(
config,
selected_model,
prompt_choice,
catalog=catalog,
api_key=api_key,
)
elif provider_id in {"opencode-zen", "opencode-go"} and selected_model:
model_cfg = _model_config_dict(config)
model_cfg["api_mode"] = opencode_model_api_mode(provider_id, selected_model)
config["model"] = model_cfg
# Import config helpers
from hermes_cli.config import (
@@ -2026,71 +2167,6 @@ 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")
@@ -2145,7 +2221,6 @@ _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),
]
@@ -2189,7 +2264,6 @@ 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:
@@ -2209,8 +2283,6 @@ 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()
@@ -2381,8 +2453,6 @@ 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
@@ -2431,120 +2501,9 @@ _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"
@@ -2557,12 +2516,12 @@ 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
@@ -2571,71 +2530,34 @@ 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,
@@ -2647,7 +2569,7 @@ 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)
@@ -2658,7 +2580,7 @@ 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():
-1
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"},
+6 -2
View File
@@ -72,13 +72,13 @@ def display_hermes_home() -> str:
return str(home)
VALID_REASONING_EFFORTS = ("minimal", "low", "medium", "high", "xhigh")
VALID_REASONING_EFFORTS = ("xhigh", "high", "medium", "low", "minimal")
def parse_reasoning_effort(effort: str) -> dict | None:
"""Parse a reasoning effort level into a config dict.
Valid levels: "none", "minimal", "low", "medium", "high", "xhigh".
Valid levels: "xhigh", "high", "medium", "low", "minimal", "none".
Returns None when the input is empty or unrecognized (caller uses default).
Returns {"enabled": False} for "none".
Returns {"enabled": True, "effort": <level>} for valid effort levels.
@@ -95,7 +95,11 @@ def parse_reasoning_effort(effort: str) -> dict | None:
OPENROUTER_BASE_URL = "https://openrouter.ai/api/v1"
OPENROUTER_MODELS_URL = f"{OPENROUTER_BASE_URL}/models"
OPENROUTER_CHAT_URL = f"{OPENROUTER_BASE_URL}/chat/completions"
AI_GATEWAY_BASE_URL = "https://ai-gateway.vercel.sh/v1"
AI_GATEWAY_MODELS_URL = f"{AI_GATEWAY_BASE_URL}/models"
AI_GATEWAY_CHAT_URL = f"{AI_GATEWAY_BASE_URL}/chat/completions"
NOUS_API_BASE_URL = "https://inference-api.nousresearch.com/v1"
NOUS_API_CHAT_URL = f"{NOUS_API_BASE_URL}/chat/completions"
+1 -34
View File
@@ -13,7 +13,6 @@ secrets are never written to disk.
"""
import logging
import os
from logging.handlers import RotatingFileHandler
from pathlib import Path
from typing import Optional
@@ -178,38 +177,6 @@ def setup_verbose_logging() -> None:
# Internal helpers
# ---------------------------------------------------------------------------
class _ManagedRotatingFileHandler(RotatingFileHandler):
"""RotatingFileHandler that ensures group-writable perms in managed mode.
In managed mode (NixOS), the stateDir uses setgid (2770) so new files
inherit the hermes group. However, both _open() (initial creation) and
doRollover() create files via open(), which uses the process umask
typically 0022, producing 0644. This subclass applies chmod 0660 after
both operations so the gateway and interactive users can share log files.
"""
def __init__(self, *args, **kwargs):
from hermes_cli.config import is_managed
self._managed = is_managed()
super().__init__(*args, **kwargs)
def _chmod_if_managed(self):
if self._managed:
try:
os.chmod(self.baseFilename, 0o660)
except OSError:
pass
def _open(self):
stream = super()._open()
self._chmod_if_managed()
return stream
def doRollover(self):
super().doRollover()
self._chmod_if_managed()
def _add_rotating_handler(
logger: logging.Logger,
path: Path,
@@ -231,7 +198,7 @@ def _add_rotating_handler(
return # already attached
path.parent.mkdir(parents=True, exist_ok=True)
handler = _ManagedRotatingFileHandler(
handler = RotatingFileHandler(
str(path), maxBytes=max_bytes, backupCount=backup_count,
)
handler.setLevel(level)
+95 -29
View File
@@ -520,6 +520,72 @@ class SessionDB:
)
self._execute_write(_do)
def set_token_counts(
self,
session_id: str,
input_tokens: int = 0,
output_tokens: int = 0,
model: str = None,
cache_read_tokens: int = 0,
cache_write_tokens: int = 0,
reasoning_tokens: int = 0,
estimated_cost_usd: Optional[float] = None,
actual_cost_usd: Optional[float] = None,
cost_status: Optional[str] = None,
cost_source: Optional[str] = None,
pricing_version: Optional[str] = None,
billing_provider: Optional[str] = None,
billing_base_url: Optional[str] = None,
billing_mode: Optional[str] = None,
) -> None:
"""Set token counters to absolute values (not increment).
Use this when the caller provides cumulative totals from a completed
conversation run (e.g. the gateway, where the cached agent's
session_prompt_tokens already reflects the running total).
"""
def _do(conn):
conn.execute(
"""UPDATE sessions SET
input_tokens = ?,
output_tokens = ?,
cache_read_tokens = ?,
cache_write_tokens = ?,
reasoning_tokens = ?,
estimated_cost_usd = ?,
actual_cost_usd = CASE
WHEN ? IS NULL THEN actual_cost_usd
ELSE ?
END,
cost_status = COALESCE(?, cost_status),
cost_source = COALESCE(?, cost_source),
pricing_version = COALESCE(?, pricing_version),
billing_provider = COALESCE(billing_provider, ?),
billing_base_url = COALESCE(billing_base_url, ?),
billing_mode = COALESCE(billing_mode, ?),
model = COALESCE(model, ?)
WHERE id = ?""",
(
input_tokens,
output_tokens,
cache_read_tokens,
cache_write_tokens,
reasoning_tokens,
estimated_cost_usd,
actual_cost_usd,
actual_cost_usd,
cost_status,
cost_source,
pricing_version,
billing_provider,
billing_base_url,
billing_mode,
model,
session_id,
),
)
self._execute_write(_do)
def get_session(self, session_id: str) -> Optional[Dict[str, Any]]:
"""Get a session by ID."""
with self._lock:
@@ -878,8 +944,7 @@ class SessionDB:
try:
msg["tool_calls"] = json.loads(msg["tool_calls"])
except (json.JSONDecodeError, TypeError):
logger.warning("Failed to deserialize tool_calls in get_messages, falling back to []")
msg["tool_calls"] = []
pass
result.append(msg)
return result
@@ -907,8 +972,7 @@ class SessionDB:
try:
msg["tool_calls"] = json.loads(row["tool_calls"])
except (json.JSONDecodeError, TypeError):
logger.warning("Failed to deserialize tool_calls in conversation replay, falling back to []")
msg["tool_calls"] = []
pass
# Restore reasoning fields on assistant messages so providers
# that replay reasoning (OpenRouter, OpenAI, Nous) receive
# coherent multi-turn reasoning context.
@@ -919,14 +983,12 @@ class SessionDB:
try:
msg["reasoning_details"] = json.loads(row["reasoning_details"])
except (json.JSONDecodeError, TypeError):
logger.warning("Failed to deserialize reasoning_details, falling back to None")
msg["reasoning_details"] = None
pass
if row["codex_reasoning_items"]:
try:
msg["codex_reasoning_items"] = json.loads(row["codex_reasoning_items"])
except (json.JSONDecodeError, TypeError):
logger.warning("Failed to deserialize codex_reasoning_items, falling back to None")
msg["codex_reasoning_items"] = None
pass
messages.append(msg)
return messages
@@ -1173,10 +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):
@@ -1185,12 +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
@@ -1199,9 +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)
@@ -1219,16 +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,))
+13
View File
@@ -89,6 +89,13 @@ def get_timezone() -> Optional[ZoneInfo]:
return _cached_tz
def get_timezone_name() -> str:
"""Return the IANA name of the configured timezone, or empty string."""
if not _cache_resolved:
get_timezone() # populates cache
return _cached_tz_name or ""
def now() -> datetime:
"""
Return the current time as a timezone-aware datetime.
@@ -103,3 +110,9 @@ def now() -> datetime:
return datetime.now().astimezone()
def reset_cache() -> None:
"""Clear the cached timezone. Used by tests and after config changes."""
global _cached_tz, _cached_tz_name, _cache_resolved
_cached_tz = None
_cached_tz_name = None
_cache_resolved = False
+7 -37
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) ──────────────────────────────────────────
@@ -549,51 +545,29 @@
})
# ── 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 ───────────────────────────────────────────────────
{
systemd.tmpfiles.rules = [
"d ${cfg.stateDir} 2770 ${cfg.user} ${cfg.group} - -"
"d ${cfg.stateDir}/.hermes 2770 ${cfg.user} ${cfg.group} - -"
"d ${cfg.stateDir}/.hermes/cron 2770 ${cfg.user} ${cfg.group} - -"
"d ${cfg.stateDir}/.hermes/sessions 2770 ${cfg.user} ${cfg.group} - -"
"d ${cfg.stateDir}/.hermes/logs 2770 ${cfg.user} ${cfg.group} - -"
"d ${cfg.stateDir}/.hermes/memories 2770 ${cfg.user} ${cfg.group} - -"
"d ${cfg.stateDir} 0750 ${cfg.user} ${cfg.group} - -"
"d ${cfg.stateDir}/.hermes 0750 ${cfg.user} ${cfg.group} - -"
"d ${cfg.stateDir}/home 0750 ${cfg.user} ${cfg.group} - -"
"d ${cfg.workingDirectory} 2770 ${cfg.user} ${cfg.group} - -"
"d ${cfg.workingDirectory} 0750 ${cfg.user} ${cfg.group} - -"
];
}
# ── 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
mkdir -p ${cfg.workingDirectory}
chown ${cfg.user}:${cfg.group} ${cfg.stateDir} ${cfg.stateDir}/.hermes ${cfg.stateDir}/home ${cfg.workingDirectory}
chmod 2770 ${cfg.stateDir} ${cfg.stateDir}/.hermes ${cfg.workingDirectory}
chmod 0750 ${cfg.stateDir}/home
# Create subdirs, set setgid + group-writable, migrate existing files.
# Nix-managed files (config.yaml, .env, .managed) stay 0640/0644.
find ${cfg.stateDir}/.hermes -maxdepth 1 \
\( -name "*.db" -o -name "*.db-wal" -o -name "*.db-shm" -o -name "SOUL.md" \) \
-exec chmod g+rw {} + 2>/dev/null || true
for _subdir in cron sessions logs memories; do
mkdir -p "${cfg.stateDir}/.hermes/$_subdir"
chown ${cfg.user}:${cfg.group} "${cfg.stateDir}/.hermes/$_subdir"
chmod 2770 "${cfg.stateDir}/.hermes/$_subdir"
find "${cfg.stateDir}/.hermes/$_subdir" -type f \
-exec chmod g+rw {} + 2>/dev/null || true
done
chmod 0750 ${cfg.stateDir} ${cfg.stateDir}/.hermes ${cfg.stateDir}/home ${cfg.workingDirectory}
# Merge Nix settings into existing config.yaml.
# Preserves user-added keys (skills, streaming, etc.); Nix keys win.
@@ -627,7 +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
@@ -680,10 +654,6 @@ HERMES_NIX_ENV_EOF
Restart = cfg.restart;
RestartSec = cfg.restartSec;
# Shared-state: files created by the gateway should be group-writable
# so interactive users in the hermes group can read/write them.
UMask = "0007";
# Hardening
NoNewPrivileges = true;
ProtectSystem = "strict";
+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
+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]
+204 -476
View File
File diff suppressed because it is too large Load Diff
@@ -249,8 +249,9 @@ 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|minimal|low|medium|high|xhigh|show|hide)
/reasoning [level] Set reasoning (none|low|medium|high|xhigh|show|hide)
/verbose Cycle: off → new → all → verbose
/voice [on|off|tts] Voice mode
/yolo Toggle approval bypass
+95 -82
View File
@@ -1,7 +1,7 @@
---
name: google-workspace
description: Gmail, Calendar, Drive, Contacts, Sheets, and Docs integration via gws CLI (googleworkspace/cli). Uses OAuth2 with automatic token refresh via bridge script. Requires gws binary.
version: 2.0.0
description: Gmail, Calendar, Drive, Contacts, Sheets, and Docs integration via Python. Uses OAuth2 with automatic token refresh. No external binaries needed — runs entirely with Google's Python client libraries in the Hermes venv.
version: 1.0.0
author: Nous Research
license: MIT
required_credential_files:
@@ -11,25 +11,14 @@ required_credential_files:
description: Google OAuth2 client credentials (downloaded from Google Cloud Console)
metadata:
hermes:
tags: [Google, Gmail, Calendar, Drive, Sheets, Docs, Contacts, Email, OAuth, gws]
tags: [Google, Gmail, Calendar, Drive, Sheets, Docs, Contacts, Email, OAuth]
homepage: https://github.com/NousResearch/hermes-agent
related_skills: [himalaya]
---
# Google Workspace
Gmail, Calendar, Drive, Contacts, Sheets, and Docs — powered by `gws` (Google's official Rust CLI). The skill provides a backward-compatible Python wrapper that handles OAuth token refresh and delegates to `gws`.
## Architecture
```
google_api.py → gws_bridge.py → gws CLI
(argparse compat) (token refresh) (Google APIs)
```
- `setup.py` handles OAuth2 (headless-compatible, works on CLI/Telegram/Discord)
- `gws_bridge.py` refreshes the Hermes token and injects it into `gws` via `GOOGLE_WORKSPACE_CLI_TOKEN`
- `google_api.py` provides the same CLI interface as v1 but delegates to `gws`
Gmail, Calendar, Drive, Contacts, Sheets, and Docs — all through Python scripts in this skill. No external binaries to install.
## References
@@ -38,22 +27,7 @@ google_api.py → gws_bridge.py → gws CLI
## Scripts
- `scripts/setup.py` — OAuth2 setup (run once to authorize)
- `scripts/gws_bridge.py` — Token refresh bridge to gws CLI
- `scripts/google_api.py` — Backward-compatible API wrapper (delegates to gws)
## Prerequisites
Install `gws`:
```bash
cargo install google-workspace-cli
# or via npm (recommended, downloads prebuilt binary):
npm install -g @googleworkspace/cli
# or via Homebrew:
brew install googleworkspace-cli
```
Verify: `gws --version`
- `scripts/google_api.py` — API wrapper CLI (agent uses this for all operations)
## First-Time Setup
@@ -82,29 +56,42 @@ If it prints `AUTHENTICATED`, skip to Usage — setup is already done.
### Step 1: Triage — ask the user what they need
Before starting OAuth setup, ask the user TWO questions:
**Question 1: "What Google services do you need? Just email, or also
Calendar/Drive/Sheets/Docs?"**
- **Email only** → Use the `himalaya` skill instead — simpler setup.
- **Calendar, Drive, Sheets, Docs (or email + these)** → Continue below.
- **Email only** They don't need this skill at all. Use the `himalaya` skill
instead — it works with a Gmail App Password (Settings → Security → App
Passwords) and takes 2 minutes to set up. No Google Cloud project needed.
Load the himalaya skill and follow its setup instructions.
**Partial scopes**: Users can authorize only a subset of services. The setup
script accepts partial scopes and warns about missing ones.
- **Calendar, Drive, Sheets, Docs (or email + these)** → Continue with this
skill's OAuth setup below.
**Question 2: "Does your Google account use Advanced Protection?"**
**Question 2: "Does your Google account use Advanced Protection (hardware
security keys required to sign in)? If you're not sure, you probably don't
— it's something you would have explicitly enrolled in."**
- **No / Not sure** → Normal setup.
- **Yes** → Workspace admin must add the OAuth client ID to allowed apps first.
- **No / Not sure** → Normal setup. Continue below.
- **Yes** Their Workspace admin must add the OAuth client ID to the org's
allowed apps list before Step 4 will work. Let them know upfront.
### Step 2: Create OAuth credentials (one-time, ~5 minutes)
Tell the user:
> You need a Google Cloud OAuth client. This is a one-time setup:
>
> 1. Go to https://console.cloud.google.com/apis/credentials
> 2. Create a project (or use an existing one)
> 3. Enable the APIs you need (Gmail, Calendar, Drive, Sheets, Docs, People)
> 4. Credentials → Create Credentials → OAuth 2.0 Client ID → Desktop app
> 5. Download JSON and tell me the file path
> 3. Click "Enable APIs" and enable: Gmail API, Google Calendar API,
> Google Drive API, Google Sheets API, Google Docs API, People API
> 4. Go to Credentials → Create Credentials → OAuth 2.0 Client ID
> 5. Application type: "Desktop app" → Create
> 6. Click "Download JSON" and tell me the file path
Once they provide the path:
```bash
$GSETUP --client-secret /path/to/client_secret.json
@@ -116,10 +103,20 @@ $GSETUP --client-secret /path/to/client_secret.json
$GSETUP --auth-url
```
Send the URL to the user. After authorizing, they paste back the redirect URL or code.
This prints a URL. **Send the URL to the user** and tell them:
> Open this link in your browser, sign in with your Google account, and
> authorize access. After authorizing, you'll be redirected to a page that
> may show an error — that's expected. Copy the ENTIRE URL from your
> browser's address bar and paste it back to me.
### Step 4: Exchange the code
The user will paste back either a URL like `http://localhost:1/?code=4/0A...&scope=...`
or just the code string. Either works. The `--auth-url` step stores a temporary
pending OAuth session locally so `--auth-code` can complete the PKCE exchange
later, even on headless systems:
```bash
$GSETUP --auth-code "THE_URL_OR_CODE_THE_USER_PASTED"
```
@@ -130,11 +127,18 @@ $GSETUP --auth-code "THE_URL_OR_CODE_THE_USER_PASTED"
$GSETUP --check
```
Should print `AUTHENTICATED`. Token refreshes automatically from now on.
Should print `AUTHENTICATED`. Setup is complete — token refreshes automatically from now on.
### Notes
- Token is stored at `google_token.json` under the active profile's `HERMES_HOME` and auto-refreshes.
- Pending OAuth session state/verifier are stored temporarily at `google_oauth_pending.json` under the active profile's `HERMES_HOME` until exchange completes.
- Hermes now refuses to overwrite a full Google Workspace token with a narrower re-auth token missing Gmail scopes, so one profile's partial consent cannot silently break email actions later.
- To revoke: `$GSETUP --revoke`
## Usage
All commands go through the API script:
All commands go through the API script. Set `GAPI` as a shorthand:
```bash
HERMES_HOME="${HERMES_HOME:-$HOME/.hermes}"
@@ -149,21 +153,40 @@ GAPI="$PYTHON_BIN $GWORKSPACE_SKILL_DIR/scripts/google_api.py"
### Gmail
```bash
# Search (returns JSON array with id, from, subject, date, snippet)
$GAPI gmail search "is:unread" --max 10
$GAPI gmail search "from:boss@company.com newer_than:1d"
$GAPI gmail search "has:attachment filename:pdf newer_than:7d"
# Read full message (returns JSON with body text)
$GAPI gmail get MESSAGE_ID
# Send
$GAPI gmail send --to user@example.com --subject "Hello" --body "Message text"
$GAPI gmail send --to user@example.com --subject "Report" --body "<h1>Q4</h1>" --html
$GAPI gmail send --to user@example.com --subject "Report" --body "<h1>Q4</h1><p>Details...</p>" --html
# Reply (automatically threads and sets In-Reply-To)
$GAPI gmail reply MESSAGE_ID --body "Thanks, that works for me."
# Labels
$GAPI gmail labels
$GAPI gmail modify MESSAGE_ID --add-labels LABEL_ID
$GAPI gmail modify MESSAGE_ID --remove-labels UNREAD
```
### Calendar
```bash
# List events (defaults to next 7 days)
$GAPI calendar list
$GAPI calendar create --summary "Standup" --start 2026-03-01T10:00:00+01:00 --end 2026-03-01T10:30:00+01:00
$GAPI calendar create --summary "Review" --start ... --end ... --attendees "alice@co.com,bob@co.com"
$GAPI calendar list --start 2026-03-01T00:00:00Z --end 2026-03-07T23:59:59Z
# Create event (ISO 8601 with timezone required)
$GAPI calendar create --summary "Team Standup" --start 2026-03-01T10:00:00-06:00 --end 2026-03-01T10:30:00-06:00
$GAPI calendar create --summary "Lunch" --start 2026-03-01T12:00:00Z --end 2026-03-01T13:00:00Z --location "Cafe"
$GAPI calendar create --summary "Review" --start 2026-03-01T14:00:00Z --end 2026-03-01T15:00:00Z --attendees "alice@co.com,bob@co.com"
# Delete event
$GAPI calendar delete EVENT_ID
```
@@ -183,8 +206,13 @@ $GAPI contacts list --max 20
### Sheets
```bash
# Read
$GAPI sheets get SHEET_ID "Sheet1!A1:D10"
# Write
$GAPI sheets update SHEET_ID "Sheet1!A1:B2" --values '[["Name","Score"],["Alice","95"]]'
# Append rows
$GAPI sheets append SHEET_ID "Sheet1!A:C" --values '[["new","row","data"]]'
```
@@ -194,52 +222,37 @@ $GAPI sheets append SHEET_ID "Sheet1!A:C" --values '[["new","row","data"]]'
$GAPI docs get DOC_ID
```
### Direct gws access (advanced)
For operations not covered by the wrapper, use `gws_bridge.py` directly:
```bash
GBRIDGE="$PYTHON_BIN $GWORKSPACE_SKILL_DIR/scripts/gws_bridge.py"
$GBRIDGE calendar +agenda --today --format table
$GBRIDGE gmail +triage --labels --format json
$GBRIDGE drive +upload ./report.pdf
$GBRIDGE sheets +read --spreadsheet SHEET_ID --range "Sheet1!A1:D10"
```
## Output Format
All commands return JSON via `gws --format json`. Key output shapes:
All commands return JSON. Parse with `jq` or read directly. Key fields:
- **Gmail search/triage**: Array of message summaries (sender, subject, date, snippet)
- **Gmail get/read**: Message object with headers and body text
- **Gmail send/reply**: Confirmation with message ID
- **Calendar list/agenda**: Array of event objects (summary, start, end, location)
- **Calendar create**: Confirmation with event ID and htmlLink
- **Drive search**: Array of file objects (id, name, mimeType, webViewLink)
- **Sheets get/read**: 2D array of cell values
- **Docs get**: Full document JSON (use `body.content` for text extraction)
- **Contacts list**: Array of person objects with names, emails, phones
Parse output with `jq` or read JSON directly.
- **Gmail search**: `[{id, threadId, from, to, subject, date, snippet, labels}]`
- **Gmail get**: `{id, threadId, from, to, subject, date, labels, body}`
- **Gmail send/reply**: `{status: "sent", id, threadId}`
- **Calendar list**: `[{id, summary, start, end, location, description, htmlLink}]`
- **Calendar create**: `{status: "created", id, summary, htmlLink}`
- **Drive search**: `[{id, name, mimeType, modifiedTime, webViewLink}]`
- **Contacts list**: `[{name, emails: [...], phones: [...]}]`
- **Sheets get**: `[[cell, cell, ...], ...]`
## Rules
1. **Never send email or create/delete events without confirming with the user first.**
2. **Check auth before first use** — run `setup.py --check`.
3. **Use the Gmail search syntax reference** for complex queries.
4. **Calendar times must include timezone** — ISO 8601 with offset or UTC.
5. **Respect rate limits** — avoid rapid-fire sequential API calls.
1. **Never send email or create/delete events without confirming with the user first.** Show the draft content and ask for approval.
2. **Check auth before first use** — run `setup.py --check`. If it fails, guide the user through setup.
3. **Use the Gmail search syntax reference** for complex queries — load it with `skill_view("google-workspace", file_path="references/gmail-search-syntax.md")`.
4. **Calendar times must include timezone** always use ISO 8601 with offset (e.g., `2026-03-01T10:00:00-06:00`) or UTC (`Z`).
5. **Respect rate limits** — avoid rapid-fire sequential API calls. Batch reads when possible.
## Troubleshooting
| Problem | Fix |
|---------|-----|
| `NOT_AUTHENTICATED` | Run setup Steps 2-5 |
| `REFRESH_FAILED` | Token revoked — redo Steps 3-5 |
| `gws: command not found` | Install: `npm install -g @googleworkspace/cli` |
| `HttpError 403` | Missing scope — `$GSETUP --revoke` then redo Steps 3-5 |
| `HttpError 403: Access Not Configured` | Enable API in Google Cloud Console |
| Advanced Protection blocks auth | Admin must allowlist the OAuth client ID |
| `NOT_AUTHENTICATED` | Run setup Steps 2-5 above |
| `REFRESH_FAILED` | Token revoked or expired — redo Steps 3-5 |
| `HttpError 403: Insufficient Permission` | Missing API scope — `$GSETUP --revoke` then redo Steps 3-5 |
| `HttpError 403: Access Not Configured` | API not enabled — user needs to enable it in Google Cloud Console |
| `ModuleNotFoundError` | Run `$GSETUP --install-deps` |
| Advanced Protection blocks auth | Workspace admin must allowlist the OAuth client ID |
## Revoking Access
@@ -1,17 +1,16 @@
#!/usr/bin/env python3
"""Google Workspace API CLI for Hermes Agent.
Thin wrapper that delegates to gws (googleworkspace/cli) via gws_bridge.py.
Maintains the same CLI interface for backward compatibility with Hermes skills.
A thin CLI wrapper around Google's Python client libraries.
Authenticates using the token stored by setup.py.
Usage:
python google_api.py gmail search "is:unread" [--max 10]
python google_api.py gmail get MESSAGE_ID
python google_api.py gmail send --to user@example.com --subject "Hi" --body "Hello"
python google_api.py gmail reply MESSAGE_ID --body "Thanks"
python google_api.py calendar list [--start DATE] [--end DATE] [--calendar primary]
python google_api.py calendar list [--from DATE] [--to DATE] [--calendar primary]
python google_api.py calendar create --summary "Meeting" --start DATETIME --end DATETIME
python google_api.py calendar delete EVENT_ID
python google_api.py drive search "budget report" [--max 10]
python google_api.py contacts list [--max 20]
python google_api.py sheets get SHEET_ID RANGE
@@ -21,193 +20,386 @@ Usage:
"""
import argparse
import base64
import json
import os
import subprocess
import sys
from datetime import datetime, timedelta, timezone
from email.mime.text import MIMEText
from pathlib import Path
BRIDGE = Path(__file__).parent / "gws_bridge.py"
PYTHON = sys.executable
try:
from hermes_constants import display_hermes_home, get_hermes_home
except ModuleNotFoundError:
HERMES_AGENT_ROOT = Path(__file__).resolve().parents[4]
if HERMES_AGENT_ROOT.exists():
sys.path.insert(0, str(HERMES_AGENT_ROOT))
from hermes_constants import display_hermes_home, get_hermes_home
HERMES_HOME = get_hermes_home()
TOKEN_PATH = HERMES_HOME / "google_token.json"
SCOPES = [
"https://www.googleapis.com/auth/gmail.readonly",
"https://www.googleapis.com/auth/gmail.send",
"https://www.googleapis.com/auth/gmail.modify",
"https://www.googleapis.com/auth/calendar",
"https://www.googleapis.com/auth/drive.readonly",
"https://www.googleapis.com/auth/contacts.readonly",
"https://www.googleapis.com/auth/spreadsheets",
"https://www.googleapis.com/auth/documents.readonly",
]
def gws(*args: str) -> None:
"""Call gws via the bridge and exit with its return code."""
result = subprocess.run(
[PYTHON, str(BRIDGE)] + list(args),
env={**os.environ, "HERMES_HOME": os.environ.get("HERMES_HOME", str(Path.home() / ".hermes"))},
)
sys.exit(result.returncode)
def _missing_scopes() -> list[str]:
try:
payload = json.loads(TOKEN_PATH.read_text())
except Exception:
return []
raw = payload.get("scopes") or payload.get("scope")
if not raw:
return []
granted = {s.strip() for s in (raw.split() if isinstance(raw, str) else raw) if s.strip()}
return sorted(scope for scope in SCOPES if scope not in granted)
# -- Gmail --
def get_credentials():
"""Load and refresh credentials from token file."""
if not TOKEN_PATH.exists():
print("Not authenticated. Run the setup script first:", file=sys.stderr)
print(f" python {Path(__file__).parent / 'setup.py'}", file=sys.stderr)
sys.exit(1)
from google.oauth2.credentials import Credentials
from google.auth.transport.requests import Request
creds = Credentials.from_authorized_user_file(str(TOKEN_PATH), SCOPES)
if creds.expired and creds.refresh_token:
creds.refresh(Request())
TOKEN_PATH.write_text(creds.to_json())
if not creds.valid:
print("Token is invalid. Re-run setup.", file=sys.stderr)
sys.exit(1)
missing_scopes = _missing_scopes()
if missing_scopes:
print(
"Token is valid but missing Google Workspace scopes required by this skill.",
file=sys.stderr,
)
for scope in missing_scopes:
print(f" - {scope}", file=sys.stderr)
print(
f"Re-run setup.py from the active Hermes profile ({display_hermes_home()}) to restore full access.",
file=sys.stderr,
)
sys.exit(1)
return creds
def build_service(api, version):
from googleapiclient.discovery import build
return build(api, version, credentials=get_credentials())
# =========================================================================
# Gmail
# =========================================================================
def gmail_search(args):
cmd = ["gmail", "+triage", "--query", args.query, "--max", str(args.max), "--format", "json"]
gws(*cmd)
service = build_service("gmail", "v1")
results = service.users().messages().list(
userId="me", q=args.query, maxResults=args.max
).execute()
messages = results.get("messages", [])
if not messages:
print("No messages found.")
return
output = []
for msg_meta in messages:
msg = service.users().messages().get(
userId="me", id=msg_meta["id"], format="metadata",
metadataHeaders=["From", "To", "Subject", "Date"],
).execute()
headers = {h["name"]: h["value"] for h in msg.get("payload", {}).get("headers", [])}
output.append({
"id": msg["id"],
"threadId": msg["threadId"],
"from": headers.get("From", ""),
"to": headers.get("To", ""),
"subject": headers.get("Subject", ""),
"date": headers.get("Date", ""),
"snippet": msg.get("snippet", ""),
"labels": msg.get("labelIds", []),
})
print(json.dumps(output, indent=2, ensure_ascii=False))
def gmail_get(args):
gws("gmail", "+read", "--id", args.message_id, "--headers", "--format", "json")
service = build_service("gmail", "v1")
msg = service.users().messages().get(
userId="me", id=args.message_id, format="full"
).execute()
headers = {h["name"]: h["value"] for h in msg.get("payload", {}).get("headers", [])}
# Extract body text
body = ""
payload = msg.get("payload", {})
if payload.get("body", {}).get("data"):
body = base64.urlsafe_b64decode(payload["body"]["data"]).decode("utf-8", errors="replace")
elif payload.get("parts"):
for part in payload["parts"]:
if part.get("mimeType") == "text/plain" and part.get("body", {}).get("data"):
body = base64.urlsafe_b64decode(part["body"]["data"]).decode("utf-8", errors="replace")
break
if not body:
for part in payload["parts"]:
if part.get("mimeType") == "text/html" and part.get("body", {}).get("data"):
body = base64.urlsafe_b64decode(part["body"]["data"]).decode("utf-8", errors="replace")
break
result = {
"id": msg["id"],
"threadId": msg["threadId"],
"from": headers.get("From", ""),
"to": headers.get("To", ""),
"subject": headers.get("Subject", ""),
"date": headers.get("Date", ""),
"labels": msg.get("labelIds", []),
"body": body,
}
print(json.dumps(result, indent=2, ensure_ascii=False))
def gmail_send(args):
cmd = ["gmail", "+send", "--to", args.to, "--subject", args.subject, "--body", args.body, "--format", "json"]
service = build_service("gmail", "v1")
message = MIMEText(args.body, "html" if args.html else "plain")
message["to"] = args.to
message["subject"] = args.subject
if args.cc:
cmd += ["--cc", args.cc]
if args.html:
cmd.append("--html")
gws(*cmd)
message["cc"] = args.cc
raw = base64.urlsafe_b64encode(message.as_bytes()).decode()
body = {"raw": raw}
if args.thread_id:
body["threadId"] = args.thread_id
result = service.users().messages().send(userId="me", body=body).execute()
print(json.dumps({"status": "sent", "id": result["id"], "threadId": result.get("threadId", "")}, indent=2))
def gmail_reply(args):
gws("gmail", "+reply", "--message-id", args.message_id, "--body", args.body, "--format", "json")
service = build_service("gmail", "v1")
# Fetch original to get thread ID and headers
original = service.users().messages().get(
userId="me", id=args.message_id, format="metadata",
metadataHeaders=["From", "Subject", "Message-ID"],
).execute()
headers = {h["name"]: h["value"] for h in original.get("payload", {}).get("headers", [])}
subject = headers.get("Subject", "")
if not subject.startswith("Re:"):
subject = f"Re: {subject}"
message = MIMEText(args.body)
message["to"] = headers.get("From", "")
message["subject"] = subject
if headers.get("Message-ID"):
message["In-Reply-To"] = headers["Message-ID"]
message["References"] = headers["Message-ID"]
raw = base64.urlsafe_b64encode(message.as_bytes()).decode()
body = {"raw": raw, "threadId": original["threadId"]}
result = service.users().messages().send(userId="me", body=body).execute()
print(json.dumps({"status": "sent", "id": result["id"], "threadId": result.get("threadId", "")}, indent=2))
def gmail_labels(args):
gws("gmail", "users", "labels", "list", "--params", json.dumps({"userId": "me"}), "--format", "json")
service = build_service("gmail", "v1")
results = service.users().labels().list(userId="me").execute()
labels = [{"id": l["id"], "name": l["name"], "type": l.get("type", "")} for l in results.get("labels", [])]
print(json.dumps(labels, indent=2))
def gmail_modify(args):
service = build_service("gmail", "v1")
body = {}
if args.add_labels:
body["addLabelIds"] = args.add_labels.split(",")
if args.remove_labels:
body["removeLabelIds"] = args.remove_labels.split(",")
gws(
"gmail", "users", "messages", "modify",
"--params", json.dumps({"userId": "me", "id": args.message_id}),
"--json", json.dumps(body),
"--format", "json",
)
result = service.users().messages().modify(userId="me", id=args.message_id, body=body).execute()
print(json.dumps({"id": result["id"], "labels": result.get("labelIds", [])}, indent=2))
# -- Calendar --
# =========================================================================
# Calendar
# =========================================================================
def calendar_list(args):
if args.start or args.end:
# Specific date range — use raw Calendar API for precise timeMin/timeMax
from datetime import datetime, timedelta, timezone as tz
now = datetime.now(tz.utc)
time_min = args.start or now.isoformat()
time_max = args.end or (now + timedelta(days=7)).isoformat()
gws(
"calendar", "events", "list",
"--params", json.dumps({
"calendarId": args.calendar,
"timeMin": time_min,
"timeMax": time_max,
"maxResults": args.max,
"singleEvents": True,
"orderBy": "startTime",
}),
"--format", "json",
)
else:
# No date range — use +agenda helper (defaults to 7 days)
cmd = ["calendar", "+agenda", "--days", "7", "--format", "json"]
if args.calendar != "primary":
cmd += ["--calendar", args.calendar]
gws(*cmd)
service = build_service("calendar", "v3")
now = datetime.now(timezone.utc)
time_min = args.start or now.isoformat()
time_max = args.end or (now + timedelta(days=7)).isoformat()
# Ensure timezone info
for val in [time_min, time_max]:
if "T" in val and "Z" not in val and "+" not in val and "-" not in val[11:]:
val += "Z"
results = service.events().list(
calendarId=args.calendar, timeMin=time_min, timeMax=time_max,
maxResults=args.max, singleEvents=True, orderBy="startTime",
).execute()
events = []
for e in results.get("items", []):
events.append({
"id": e["id"],
"summary": e.get("summary", "(no title)"),
"start": e.get("start", {}).get("dateTime", e.get("start", {}).get("date", "")),
"end": e.get("end", {}).get("dateTime", e.get("end", {}).get("date", "")),
"location": e.get("location", ""),
"description": e.get("description", ""),
"status": e.get("status", ""),
"htmlLink": e.get("htmlLink", ""),
})
print(json.dumps(events, indent=2, ensure_ascii=False))
def calendar_create(args):
cmd = [
"calendar", "+insert",
"--summary", args.summary,
"--start", args.start,
"--end", args.end,
"--format", "json",
]
service = build_service("calendar", "v3")
event = {
"summary": args.summary,
"start": {"dateTime": args.start},
"end": {"dateTime": args.end},
}
if args.location:
cmd += ["--location", args.location]
event["location"] = args.location
if args.description:
cmd += ["--description", args.description]
event["description"] = args.description
if args.attendees:
for email in args.attendees.split(","):
cmd += ["--attendee", email.strip()]
if args.calendar != "primary":
cmd += ["--calendar", args.calendar]
gws(*cmd)
event["attendees"] = [{"email": e.strip()} for e in args.attendees.split(",")]
result = service.events().insert(calendarId=args.calendar, body=event).execute()
print(json.dumps({
"status": "created",
"id": result["id"],
"summary": result.get("summary", ""),
"htmlLink": result.get("htmlLink", ""),
}, indent=2))
def calendar_delete(args):
gws(
"calendar", "events", "delete",
"--params", json.dumps({"calendarId": args.calendar, "eventId": args.event_id}),
"--format", "json",
)
service = build_service("calendar", "v3")
service.events().delete(calendarId=args.calendar, eventId=args.event_id).execute()
print(json.dumps({"status": "deleted", "eventId": args.event_id}))
# -- Drive --
# =========================================================================
# Drive
# =========================================================================
def drive_search(args):
query = args.query if args.raw_query else f"fullText contains '{args.query}'"
gws(
"drive", "files", "list",
"--params", json.dumps({
"q": query,
"pageSize": args.max,
"fields": "files(id,name,mimeType,modifiedTime,webViewLink)",
}),
"--format", "json",
)
service = build_service("drive", "v3")
query = f"fullText contains '{args.query}'" if not args.raw_query else args.query
results = service.files().list(
q=query, pageSize=args.max, fields="files(id, name, mimeType, modifiedTime, webViewLink)",
).execute()
files = results.get("files", [])
print(json.dumps(files, indent=2, ensure_ascii=False))
# -- Contacts --
# =========================================================================
# Contacts
# =========================================================================
def contacts_list(args):
gws(
"people", "people", "connections", "list",
"--params", json.dumps({
"resourceName": "people/me",
"pageSize": args.max,
"personFields": "names,emailAddresses,phoneNumbers",
}),
"--format", "json",
)
service = build_service("people", "v1")
results = service.people().connections().list(
resourceName="people/me",
pageSize=args.max,
personFields="names,emailAddresses,phoneNumbers",
).execute()
contacts = []
for person in results.get("connections", []):
names = person.get("names", [{}])
emails = person.get("emailAddresses", [])
phones = person.get("phoneNumbers", [])
contacts.append({
"name": names[0].get("displayName", "") if names else "",
"emails": [e.get("value", "") for e in emails],
"phones": [p.get("value", "") for p in phones],
})
print(json.dumps(contacts, indent=2, ensure_ascii=False))
# -- Sheets --
# =========================================================================
# Sheets
# =========================================================================
def sheets_get(args):
gws(
"sheets", "+read",
"--spreadsheet", args.sheet_id,
"--range", args.range,
"--format", "json",
)
service = build_service("sheets", "v4")
result = service.spreadsheets().values().get(
spreadsheetId=args.sheet_id, range=args.range,
).execute()
print(json.dumps(result.get("values", []), indent=2, ensure_ascii=False))
def sheets_update(args):
service = build_service("sheets", "v4")
values = json.loads(args.values)
gws(
"sheets", "spreadsheets", "values", "update",
"--params", json.dumps({
"spreadsheetId": args.sheet_id,
"range": args.range,
"valueInputOption": "USER_ENTERED",
}),
"--json", json.dumps({"values": values}),
"--format", "json",
)
body = {"values": values}
result = service.spreadsheets().values().update(
spreadsheetId=args.sheet_id, range=args.range,
valueInputOption="USER_ENTERED", body=body,
).execute()
print(json.dumps({"updatedCells": result.get("updatedCells", 0), "updatedRange": result.get("updatedRange", "")}, indent=2))
def sheets_append(args):
service = build_service("sheets", "v4")
values = json.loads(args.values)
gws(
"sheets", "+append",
"--spreadsheet", args.sheet_id,
"--json-values", json.dumps(values),
"--format", "json",
)
body = {"values": values}
result = service.spreadsheets().values().append(
spreadsheetId=args.sheet_id, range=args.range,
valueInputOption="USER_ENTERED", insertDataOption="INSERT_ROWS", body=body,
).execute()
print(json.dumps({"updatedCells": result.get("updates", {}).get("updatedCells", 0)}, indent=2))
# -- Docs --
# =========================================================================
# Docs
# =========================================================================
def docs_get(args):
gws(
"docs", "documents", "get",
"--params", json.dumps({"documentId": args.doc_id}),
"--format", "json",
)
service = build_service("docs", "v1")
doc = service.documents().get(documentId=args.doc_id).execute()
# Extract plain text from the document structure
text_parts = []
for element in doc.get("body", {}).get("content", []):
paragraph = element.get("paragraph", {})
for pe in paragraph.get("elements", []):
text_run = pe.get("textRun", {})
if text_run.get("content"):
text_parts.append(text_run["content"])
result = {
"title": doc.get("title", ""),
"documentId": doc.get("documentId", ""),
"body": "".join(text_parts),
}
print(json.dumps(result, indent=2, ensure_ascii=False))
# -- CLI parser (backward-compatible interface) --
# =========================================================================
# CLI parser
# =========================================================================
def main():
parser = argparse.ArgumentParser(description="Google Workspace API for Hermes Agent (gws backend)")
parser = argparse.ArgumentParser(description="Google Workspace API for Hermes Agent")
sub = parser.add_subparsers(dest="service", required=True)
# --- Gmail ---
@@ -229,7 +421,7 @@ def main():
p.add_argument("--body", required=True)
p.add_argument("--cc", default="")
p.add_argument("--html", action="store_true", help="Send body as HTML")
p.add_argument("--thread-id", default="", help="Thread ID (unused with gws, kept for compat)")
p.add_argument("--thread-id", default="", help="Thread ID for threading")
p.set_defaults(func=gmail_send)
p = gmail_sub.add_parser("reply")
@@ -1,89 +0,0 @@
#!/usr/bin/env python3
"""Bridge between Hermes OAuth token and gws CLI.
Refreshes the token if expired, then executes gws with the valid access token.
"""
import json
import os
import subprocess
import sys
from datetime import datetime, timezone
from pathlib import Path
def get_hermes_home() -> Path:
return Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
def get_token_path() -> Path:
return get_hermes_home() / "google_token.json"
def refresh_token(token_data: dict) -> dict:
"""Refresh the access token using the refresh token."""
import urllib.error
import urllib.parse
import urllib.request
params = urllib.parse.urlencode({
"client_id": token_data["client_id"],
"client_secret": token_data["client_secret"],
"refresh_token": token_data["refresh_token"],
"grant_type": "refresh_token",
}).encode()
req = urllib.request.Request(token_data["token_uri"], data=params)
try:
with urllib.request.urlopen(req) as resp:
result = json.loads(resp.read())
except urllib.error.HTTPError as e:
body = e.read().decode("utf-8", errors="replace")
print(f"ERROR: Token refresh failed (HTTP {e.code}): {body}", file=sys.stderr)
print("Re-run setup.py to re-authenticate.", file=sys.stderr)
sys.exit(1)
token_data["token"] = result["access_token"]
token_data["expiry"] = datetime.fromtimestamp(
datetime.now(timezone.utc).timestamp() + result["expires_in"],
tz=timezone.utc,
).isoformat()
get_token_path().write_text(json.dumps(token_data, indent=2))
return token_data
def get_valid_token() -> str:
"""Return a valid access token, refreshing if needed."""
token_path = get_token_path()
if not token_path.exists():
print("ERROR: No Google token found. Run setup.py --auth-url first.", file=sys.stderr)
sys.exit(1)
token_data = json.loads(token_path.read_text())
expiry = token_data.get("expiry", "")
if expiry:
exp_dt = datetime.fromisoformat(expiry.replace("Z", "+00:00"))
now = datetime.now(timezone.utc)
if now >= exp_dt:
token_data = refresh_token(token_data)
return token_data["token"]
def main():
"""Refresh token if needed, then exec gws with remaining args."""
if len(sys.argv) < 2:
print("Usage: gws_bridge.py <gws args...>", file=sys.stderr)
sys.exit(1)
access_token = get_valid_token()
env = os.environ.copy()
env["GOOGLE_WORKSPACE_CLI_TOKEN"] = access_token
result = subprocess.run(["gws"] + sys.argv[1:], env=env)
sys.exit(result.returncode)
if __name__ == "__main__":
main()
@@ -23,7 +23,6 @@ Agent workflow:
import argparse
import json
import os
import subprocess
import sys
from pathlib import Path
@@ -129,11 +128,7 @@ def check_auth():
from google.auth.transport.requests import Request
try:
# Don't pass scopes — user may have authorized only a subset.
# Passing scopes forces google-auth to validate them on refresh,
# which fails with invalid_scope if the token has fewer scopes
# than requested.
creds = Credentials.from_authorized_user_file(str(TOKEN_PATH))
creds = Credentials.from_authorized_user_file(str(TOKEN_PATH), SCOPES)
except Exception as e:
print(f"TOKEN_CORRUPT: {e}")
return False
@@ -142,9 +137,8 @@ def check_auth():
if creds.valid:
missing_scopes = _missing_scopes_from_payload(payload)
if missing_scopes:
print(f"AUTHENTICATED (partial): Token valid but missing {len(missing_scopes)} scopes:")
for s in missing_scopes:
print(f" - {s}")
print(f"AUTH_SCOPE_MISMATCH: {_format_missing_scopes(missing_scopes)}")
return False
print(f"AUTHENTICATED: Token valid at {TOKEN_PATH}")
return True
@@ -154,9 +148,8 @@ def check_auth():
TOKEN_PATH.write_text(creds.to_json())
missing_scopes = _missing_scopes_from_payload(_load_token_payload(TOKEN_PATH))
if missing_scopes:
print(f"AUTHENTICATED (partial): Token refreshed but missing {len(missing_scopes)} scopes:")
for s in missing_scopes:
print(f" - {s}")
print(f"AUTH_SCOPE_MISMATCH: {_format_missing_scopes(missing_scopes)}")
return False
print(f"AUTHENTICATED: Token refreshed at {TOKEN_PATH}")
return True
except Exception as e:
@@ -279,33 +272,16 @@ def exchange_auth_code(code: str):
_ensure_deps()
from google_auth_oauthlib.flow import Flow
from urllib.parse import parse_qs, urlparse
# Extract granted scopes from the callback URL if present
if returned_state and "scope" in parse_qs(urlparse(code).query if isinstance(code, str) and code.startswith("http") else {}):
granted_scopes = parse_qs(urlparse(code).query)["scope"][0].split()
else:
# Try to extract from code_or_url parameter
if isinstance(code, str) and code.startswith("http"):
params = parse_qs(urlparse(code).query)
if "scope" in params:
granted_scopes = params["scope"][0].split()
else:
granted_scopes = SCOPES
else:
granted_scopes = SCOPES
flow = Flow.from_client_secrets_file(
str(CLIENT_SECRET_PATH),
scopes=granted_scopes,
scopes=SCOPES,
redirect_uri=pending_auth.get("redirect_uri", REDIRECT_URI),
state=pending_auth["state"],
code_verifier=pending_auth["code_verifier"],
)
try:
# Accept partial scopes — user may deselect some permissions in the consent screen
os.environ["OAUTHLIB_RELAX_TOKEN_SCOPE"] = "1"
flow.fetch_token(code=code)
except Exception as e:
print(f"ERROR: Token exchange failed: {e}")
@@ -314,21 +290,11 @@ def exchange_auth_code(code: str):
creds = flow.credentials
token_payload = json.loads(creds.to_json())
# Store only the scopes actually granted by the user, not what was requested.
# creds.to_json() writes the requested scopes, which causes refresh to fail
# with invalid_scope if the user only authorized a subset.
actually_granted = list(creds.granted_scopes or []) if hasattr(creds, "granted_scopes") and creds.granted_scopes else []
if actually_granted:
token_payload["scopes"] = actually_granted
elif granted_scopes != SCOPES:
# granted_scopes was extracted from the callback URL
token_payload["scopes"] = granted_scopes
missing_scopes = _missing_scopes_from_payload(token_payload)
if missing_scopes:
print(f"WARNING: Token missing some Google Workspace scopes: {', '.join(missing_scopes)}")
print("Some services may not be available.")
print(f"ERROR: Refusing to save incomplete Google Workspace token. {_format_missing_scopes(missing_scopes)}")
print(f"Existing token at {TOKEN_PATH} was left unchanged.")
sys.exit(1)
TOKEN_PATH.write_text(json.dumps(token_payload, indent=2))
PENDING_AUTH_PATH.unlink(missing_ok=True)
+10 -252
View File
@@ -17,6 +17,7 @@ from agent.anthropic_adapter import (
build_anthropic_kwargs,
convert_messages_to_anthropic,
convert_tools_to_anthropic,
get_anthropic_token_source,
is_claude_code_token_valid,
normalize_anthropic_response,
normalize_model_name,
@@ -164,6 +165,15 @@ class TestResolveAnthropicToken:
monkeypatch.setattr("agent.anthropic_adapter.Path.home", lambda: tmp_path)
assert resolve_anthropic_token() == "sk-ant-oat01-mytoken"
def test_reports_claude_json_primary_key_source(self, monkeypatch, tmp_path):
monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
monkeypatch.delenv("ANTHROPIC_TOKEN", raising=False)
monkeypatch.delenv("CLAUDE_CODE_OAUTH_TOKEN", raising=False)
(tmp_path / ".claude.json").write_text(json.dumps({"primaryApiKey": "sk-ant-api03-primary"}))
monkeypatch.setattr("agent.anthropic_adapter.Path.home", lambda: tmp_path)
assert get_anthropic_token_source("sk-ant-api03-primary") == "claude_json_primary_api_key"
def test_does_not_resolve_primary_api_key_as_native_anthropic_token(self, monkeypatch, tmp_path):
monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
monkeypatch.delenv("ANTHROPIC_TOKEN", raising=False)
@@ -1266,258 +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
# ---------------------------------------------------------------------------
+231 -38
View File
@@ -9,6 +9,7 @@ import pytest
from agent.auxiliary_client import (
get_text_auxiliary_client,
get_vision_auxiliary_client,
get_available_vision_backends,
resolve_vision_provider_client,
resolve_provider_client,
@@ -19,6 +20,7 @@ from agent.auxiliary_client import (
_get_provider_chain,
_is_payment_error,
_try_payment_fallback,
_resolve_forced_provider,
_resolve_auto,
)
@@ -75,20 +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)
@@ -250,24 +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."""
@@ -662,6 +632,15 @@ class TestGetTextAuxiliaryClient:
class TestVisionClientFallback:
"""Vision client auto mode resolves known-good multimodal backends."""
def test_vision_returns_none_without_any_credentials(self):
with (
patch("agent.auxiliary_client._read_nous_auth", return_value=None),
patch("agent.auxiliary_client._try_anthropic", return_value=(None, None)),
):
client, model = get_vision_auxiliary_client()
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", "***")
@@ -743,22 +722,36 @@ class TestAuxiliaryPoolAwareness:
assert call_kwargs["base_url"] == "https://api.githubcopilot.com"
assert call_kwargs["default_headers"]["Editor-Version"]
def test_vision_auto_prefers_active_provider_over_openrouter(self, monkeypatch):
"""Active provider is tried before OpenRouter in vision auto."""
monkeypatch.setenv("OPENROUTER_API_KEY", "or-key")
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", "***")
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="***"),
):
client, model = get_vision_auxiliary_client()
assert client is not None
assert client.__class__.__name__ == "AnthropicAuxiliaryClient"
def test_vision_auto_prefers_openrouter_over_active_provider(self, monkeypatch):
"""OpenRouter is tried before the active provider in vision auto."""
monkeypatch.setenv("OPENROUTER_API_KEY", "or-key")
monkeypatch.setenv("ANTHROPIC_API_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.auxiliary_client.OpenAI") as mock_openai,
):
provider, client, model = resolve_vision_provider_client()
# Active provider should win over OpenRouter
assert provider == "anthropic"
# OpenRouter should win over anthropic active provider
assert provider == "openrouter"
def test_vision_auto_uses_named_custom_as_active_provider(self, monkeypatch):
"""Named custom provider works as active provider fallback in vision auto."""
@@ -774,6 +767,43 @@ class TestAuxiliaryPoolAwareness:
assert client is not None
assert provider == "custom:local"
def test_vision_direct_endpoint_override(self, monkeypatch):
monkeypatch.setenv("OPENROUTER_API_KEY", "or-key")
monkeypatch.setenv("AUXILIARY_VISION_BASE_URL", "http://localhost:4567/v1")
monkeypatch.setenv("AUXILIARY_VISION_API_KEY", "vision-key")
monkeypatch.setenv("AUXILIARY_VISION_MODEL", "vision-model")
with patch("agent.auxiliary_client.OpenAI") as mock_openai:
client, model = get_vision_auxiliary_client()
assert model == "vision-model"
assert mock_openai.call_args.kwargs["base_url"] == "http://localhost:4567/v1"
assert mock_openai.call_args.kwargs["api_key"] == "vision-key"
def test_vision_direct_endpoint_without_key_uses_placeholder(self, monkeypatch):
"""Vision endpoint without API key should use 'no-key-required' placeholder."""
monkeypatch.setenv("OPENROUTER_API_KEY", "or-key")
monkeypatch.setenv("AUXILIARY_VISION_BASE_URL", "http://localhost:4567/v1")
monkeypatch.setenv("AUXILIARY_VISION_MODEL", "vision-model")
with patch("agent.auxiliary_client.OpenAI") as mock_openai:
client, model = get_vision_auxiliary_client()
assert client is not None
assert model == "vision-model"
assert mock_openai.call_args.kwargs["api_key"] == "no-key-required"
def test_vision_uses_openrouter_when_available(self, monkeypatch):
monkeypatch.setenv("OPENROUTER_API_KEY", "or-key")
with patch("agent.auxiliary_client.OpenAI") as mock_openai:
client, model = get_vision_auxiliary_client()
assert model == "google/gemini-3-flash-preview"
assert client is not None
def test_vision_uses_nous_when_available(self, monkeypatch):
with patch("agent.auxiliary_client._read_nous_auth") as mock_nous, \
patch("agent.auxiliary_client.OpenAI"):
mock_nous.return_value = {"access_token": "nous-tok"}
client, model = get_vision_auxiliary_client()
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": {
@@ -799,6 +829,53 @@ class TestAuxiliaryPoolAwareness:
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 = {
"model": {
"provider": "custom",
"base_url": "http://localhost:1234/v1",
"default": "my-local-model",
}
}
monkeypatch.setenv("AUXILIARY_VISION_PROVIDER", "main")
monkeypatch.setenv("OPENAI_API_KEY", "local-key")
monkeypatch.setattr("hermes_cli.config.load_config", lambda: config)
monkeypatch.setattr("hermes_cli.runtime_provider.load_config", lambda: config)
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client.OpenAI") as mock_openai:
client, model = get_vision_auxiliary_client()
assert client is not None
assert model == "my-local-model"
def test_vision_forced_main_returns_none_without_creds(self, monkeypatch):
"""Forced main with no credentials still returns None."""
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()
assert client is None
assert model is None
def test_vision_forced_codex(self, monkeypatch, codex_auth_dir):
"""When forced to 'codex', vision uses Codex OAuth."""
monkeypatch.setenv("AUXILIARY_VISION_PROVIDER", "codex")
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"
class TestGetAuxiliaryProvider:
@@ -838,6 +915,122 @@ class TestGetAuxiliaryProvider:
assert _get_auxiliary_provider("web_extract") == "main"
class TestResolveForcedProvider:
"""Tests for _resolve_forced_provider with explicit provider selection."""
def test_forced_openrouter(self, monkeypatch):
monkeypatch.setenv("OPENROUTER_API_KEY", "or-key")
with patch("agent.auxiliary_client.OpenAI") as mock_openai:
client, model = _resolve_forced_provider("openrouter")
assert model == "google/gemini-3-flash-preview"
assert client is not None
def test_forced_openrouter_no_key(self, monkeypatch):
with patch("agent.auxiliary_client._read_nous_auth", return_value=None):
client, model = _resolve_forced_provider("openrouter")
assert client is None
assert model is None
def test_forced_nous(self, monkeypatch):
with patch("agent.auxiliary_client._read_nous_auth") as mock_nous, \
patch("agent.auxiliary_client.OpenAI"):
mock_nous.return_value = {"access_token": "nous-tok"}
client, model = _resolve_forced_provider("nous")
assert model == "google/gemini-3-flash-preview"
assert client is not None
def test_forced_nous_not_configured(self, monkeypatch):
with patch("agent.auxiliary_client._read_nous_auth", return_value=None):
client, model = _resolve_forced_provider("nous")
assert client is None
assert model is None
def test_forced_main_uses_custom(self, monkeypatch):
config = {
"model": {
"provider": "custom",
"base_url": "http://local:8080/v1",
"default": "my-local-model",
}
}
monkeypatch.setenv("OPENAI_API_KEY", "local-key")
monkeypatch.setattr("hermes_cli.config.load_config", lambda: config)
monkeypatch.setattr("hermes_cli.runtime_provider.load_config", lambda: config)
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client.OpenAI") as mock_openai:
client, model = _resolve_forced_provider("main")
assert model == "my-local-model"
def test_forced_main_uses_config_saved_custom_endpoint(self, monkeypatch):
config = {
"model": {
"provider": "custom",
"base_url": "http://local:8080/v1",
"default": "my-local-model",
}
}
monkeypatch.setenv("OPENAI_API_KEY", "local-key")
monkeypatch.setattr("hermes_cli.config.load_config", lambda: config)
monkeypatch.setattr("hermes_cli.runtime_provider.load_config", lambda: config)
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client._read_codex_access_token", return_value=None), \
patch("agent.auxiliary_client._resolve_api_key_provider", return_value=(None, None)), \
patch("agent.auxiliary_client.OpenAI") as mock_openai:
client, model = _resolve_forced_provider("main")
assert client is not None
assert model == "my-local-model"
call_kwargs = mock_openai.call_args
assert call_kwargs.kwargs["base_url"] == "http://local:8080/v1"
def test_forced_main_skips_openrouter_nous(self, monkeypatch):
"""Even if OpenRouter key is set, 'main' skips it."""
config = {
"model": {
"provider": "custom",
"base_url": "http://local:8080/v1",
"default": "my-local-model",
}
}
monkeypatch.setenv("OPENROUTER_API_KEY", "or-key")
monkeypatch.setenv("OPENAI_API_KEY", "local-key")
monkeypatch.setattr("hermes_cli.config.load_config", lambda: config)
monkeypatch.setattr("hermes_cli.runtime_provider.load_config", lambda: config)
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client.OpenAI") as mock_openai:
client, model = _resolve_forced_provider("main")
# Should use custom endpoint, not OpenRouter
assert model == "my-local-model"
def test_forced_main_falls_to_codex(self, codex_auth_dir, monkeypatch):
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client.OpenAI"):
client, model = _resolve_forced_provider("main")
from agent.auxiliary_client import CodexAuxiliaryClient
assert isinstance(client, CodexAuxiliaryClient)
assert model == "gpt-5.2-codex"
def test_forced_codex(self, codex_auth_dir, monkeypatch):
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client.OpenAI"):
client, model = _resolve_forced_provider("codex")
from agent.auxiliary_client import CodexAuxiliaryClient
assert isinstance(client, CodexAuxiliaryClient)
assert model == "gpt-5.2-codex"
def test_forced_codex_no_token(self, monkeypatch):
with patch("agent.auxiliary_client._read_codex_access_token", return_value=None):
client, model = _resolve_forced_provider("codex")
assert client is None
assert model is None
def test_forced_unknown_returns_none(self, monkeypatch):
with patch("agent.auxiliary_client._read_nous_auth", return_value=None), \
patch("agent.auxiliary_client._read_codex_access_token", return_value=None):
client, model = _resolve_forced_provider("invalid-provider")
assert client is None
assert model is None
class TestTaskSpecificOverrides:
"""Integration tests for per-task provider routing via get_text_auxiliary_client(task=...)."""
+31 -173
View File
@@ -38,6 +38,16 @@ class TestShouldCompress:
assert compressor.should_compress(prompt_tokens=50000) is False
class TestShouldCompressPreflight:
def test_short_messages(self, compressor):
msgs = [{"role": "user", "content": "short"}]
assert compressor.should_compress_preflight(msgs) is False
def test_long_messages(self, compressor):
# Each message ~100k chars / 4 = 25k tokens, need >85k threshold
msgs = [{"role": "user", "content": "x" * 400000}]
assert compressor.should_compress_preflight(msgs) is True
class TestUpdateFromResponse:
def test_updates_fields(self, compressor):
@@ -48,12 +58,27 @@ class TestUpdateFromResponse:
})
assert compressor.last_prompt_tokens == 5000
assert compressor.last_completion_tokens == 1000
assert compressor.last_total_tokens == 6000
def test_missing_fields_default_zero(self, compressor):
compressor.update_from_response({})
assert compressor.last_prompt_tokens == 0
class TestGetStatus:
def test_returns_expected_keys(self, compressor):
status = compressor.get_status()
assert "last_prompt_tokens" in status
assert "threshold_tokens" in status
assert "context_length" in status
assert "usage_percent" in status
assert "compression_count" in status
def test_usage_percent_calculation(self, compressor):
compressor.last_prompt_tokens = 50000
status = compressor.get_status()
assert status["usage_percent"] == 50.0
class TestCompress:
def _make_messages(self, n):
@@ -299,10 +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"},
@@ -310,8 +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)
@@ -440,10 +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"},
@@ -452,7 +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)
@@ -464,7 +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"]
@@ -479,18 +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)
@@ -587,158 +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
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@@ -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
+40
View File
@@ -7,6 +7,7 @@ from pathlib import Path
from hermes_state import SessionDB
from agent.insights import (
InsightsEngine,
_get_pricing,
_estimate_cost,
_format_duration,
_bar_chart,
@@ -117,6 +118,45 @@ def populated_db(db):
return db
# =========================================================================
# Pricing helpers
# =========================================================================
class TestPricing:
def test_provider_prefix_stripped(self):
pricing = _get_pricing("anthropic/claude-sonnet-4-20250514")
assert pricing["input"] == 3.00
assert pricing["output"] == 15.00
def test_unknown_models_do_not_use_heuristics(self):
pricing = _get_pricing("some-new-opus-model")
assert pricing == _DEFAULT_PRICING
pricing = _get_pricing("anthropic/claude-haiku-future")
assert pricing == _DEFAULT_PRICING
def test_unknown_model_returns_zero_cost(self):
"""Unknown/custom models should NOT have fabricated costs."""
pricing = _get_pricing("totally-unknown-model-xyz")
assert pricing == _DEFAULT_PRICING
assert pricing["input"] == 0.0
assert pricing["output"] == 0.0
def test_custom_endpoint_model_zero_cost(self):
"""Self-hosted models should return zero cost."""
for model in ["FP16_Hermes_4.5", "Hermes_4.5_1T_epoch2", "my-local-llama"]:
pricing = _get_pricing(model)
assert pricing["input"] == 0.0, f"{model} should have zero cost"
assert pricing["output"] == 0.0, f"{model} should have zero cost"
def test_none_model(self):
pricing = _get_pricing(None)
assert pricing == _DEFAULT_PRICING
def test_empty_model(self):
pricing = _get_pricing("")
assert pricing == _DEFAULT_PRICING
class TestHasKnownPricing:
def test_known_commercial_model(self):
assert _has_known_pricing("gpt-4o", provider="openai") is True
+299
View File
@@ -0,0 +1,299 @@
"""End-to-end test: a SQLite-backed memory plugin exercising the full interface.
This proves a real plugin can register as a MemoryProvider and get wired
into the agent loop via MemoryManager. Uses SQLite + FTS5 (stdlib, no
external deps, no API keys).
"""
import json
import os
import sqlite3
import tempfile
import pytest
from unittest.mock import patch, MagicMock
from agent.memory_provider import MemoryProvider
from agent.memory_manager import MemoryManager
from agent.builtin_memory_provider import BuiltinMemoryProvider
# ---------------------------------------------------------------------------
# SQLite FTS5 memory provider — a real, minimal plugin implementation
# ---------------------------------------------------------------------------
class SQLiteMemoryProvider(MemoryProvider):
"""Minimal SQLite + FTS5 memory provider for testing.
Demonstrates the full MemoryProvider interface with a real backend.
No external dependencies just stdlib sqlite3.
"""
def __init__(self, db_path: str = ":memory:"):
self._db_path = db_path
self._conn = None
@property
def name(self) -> str:
return "sqlite_memory"
def is_available(self) -> bool:
return True # SQLite is always available
def initialize(self, session_id: str, **kwargs) -> None:
self._conn = sqlite3.connect(self._db_path)
self._conn.execute("PRAGMA journal_mode=WAL")
self._conn.execute("""
CREATE VIRTUAL TABLE IF NOT EXISTS memories
USING fts5(content, context, session_id)
""")
self._session_id = session_id
def system_prompt_block(self) -> str:
if not self._conn:
return ""
count = self._conn.execute("SELECT COUNT(*) FROM memories").fetchone()[0]
if count == 0:
return ""
return (
f"# SQLite Memory Plugin\n"
f"Active. {count} memories stored.\n"
f"Use sqlite_recall to search, sqlite_retain to store."
)
def prefetch(self, query: str, *, session_id: str = "") -> str:
if not self._conn or not query:
return ""
# FTS5 search
try:
rows = self._conn.execute(
"SELECT content FROM memories WHERE memories MATCH ? LIMIT 5",
(query,)
).fetchall()
if not rows:
return ""
results = [row[0] for row in rows]
return "## SQLite Memory\n" + "\n".join(f"- {r}" for r in results)
except sqlite3.OperationalError:
return ""
def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
if not self._conn:
return
combined = f"User: {user_content}\nAssistant: {assistant_content}"
self._conn.execute(
"INSERT INTO memories (content, context, session_id) VALUES (?, ?, ?)",
(combined, "conversation", self._session_id),
)
self._conn.commit()
def get_tool_schemas(self):
return [
{
"name": "sqlite_retain",
"description": "Store a fact to SQLite memory.",
"parameters": {
"type": "object",
"properties": {
"content": {"type": "string", "description": "What to remember"},
"context": {"type": "string", "description": "Category/context"},
},
"required": ["content"],
},
},
{
"name": "sqlite_recall",
"description": "Search SQLite memory.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "Search query"},
},
"required": ["query"],
},
},
]
def handle_tool_call(self, tool_name: str, args: dict, **kwargs) -> str:
if tool_name == "sqlite_retain":
content = args.get("content", "")
context = args.get("context", "explicit")
if not content:
return json.dumps({"error": "content is required"})
self._conn.execute(
"INSERT INTO memories (content, context, session_id) VALUES (?, ?, ?)",
(content, context, self._session_id),
)
self._conn.commit()
return json.dumps({"result": "Stored."})
elif tool_name == "sqlite_recall":
query = args.get("query", "")
if not query:
return json.dumps({"error": "query is required"})
try:
rows = self._conn.execute(
"SELECT content, context FROM memories WHERE memories MATCH ? LIMIT 10",
(query,)
).fetchall()
results = [{"content": r[0], "context": r[1]} for r in rows]
return json.dumps({"results": results})
except sqlite3.OperationalError:
return json.dumps({"results": []})
return json.dumps({"error": f"Unknown tool: {tool_name}"})
def on_memory_write(self, action, target, content):
"""Mirror built-in memory writes to SQLite."""
if action == "add" and self._conn:
self._conn.execute(
"INSERT INTO memories (content, context, session_id) VALUES (?, ?, ?)",
(content, f"builtin_{target}", self._session_id),
)
self._conn.commit()
def shutdown(self):
if self._conn:
self._conn.close()
self._conn = None
# ---------------------------------------------------------------------------
# End-to-end tests
# ---------------------------------------------------------------------------
class TestSQLiteMemoryPlugin:
"""Full lifecycle test with the SQLite provider."""
def test_full_lifecycle(self):
"""Exercise init → store → recall → sync → prefetch → shutdown."""
mgr = MemoryManager()
builtin = BuiltinMemoryProvider()
sqlite_mem = SQLiteMemoryProvider()
mgr.add_provider(builtin)
mgr.add_provider(sqlite_mem)
# Initialize
mgr.initialize_all(session_id="test-session-1", platform="cli")
assert sqlite_mem._conn is not None
# System prompt — empty at first
prompt = mgr.build_system_prompt()
assert "SQLite Memory Plugin" not in prompt
# Store via tool call
result = json.loads(mgr.handle_tool_call(
"sqlite_retain", {"content": "User prefers dark mode", "context": "preference"}
))
assert result["result"] == "Stored."
# System prompt now shows count
prompt = mgr.build_system_prompt()
assert "1 memories stored" in prompt
# Recall via tool call
result = json.loads(mgr.handle_tool_call(
"sqlite_recall", {"query": "dark mode"}
))
assert len(result["results"]) == 1
assert "dark mode" in result["results"][0]["content"]
# Sync a turn (auto-stores conversation)
mgr.sync_all("What's my theme?", "You prefer dark mode.")
count = sqlite_mem._conn.execute("SELECT COUNT(*) FROM memories").fetchone()[0]
assert count == 2 # 1 explicit + 1 synced
# Prefetch for next turn
prefetched = mgr.prefetch_all("dark mode")
assert "dark mode" in prefetched
# Memory bridge — mirroring builtin writes
mgr.on_memory_write("add", "user", "Timezone: US Pacific")
count = sqlite_mem._conn.execute("SELECT COUNT(*) FROM memories").fetchone()[0]
assert count == 3
# Shutdown
mgr.shutdown_all()
assert sqlite_mem._conn is None
def test_tool_routing_with_builtin(self):
"""Verify builtin + plugin tools coexist without conflict."""
mgr = MemoryManager()
builtin = BuiltinMemoryProvider()
sqlite_mem = SQLiteMemoryProvider()
mgr.add_provider(builtin)
mgr.add_provider(sqlite_mem)
mgr.initialize_all(session_id="test-2")
# Builtin has no tools
assert len(builtin.get_tool_schemas()) == 0
# SQLite has 2 tools
schemas = mgr.get_all_tool_schemas()
names = {s["name"] for s in schemas}
assert names == {"sqlite_retain", "sqlite_recall"}
# Routing works
assert mgr.has_tool("sqlite_retain")
assert mgr.has_tool("sqlite_recall")
assert not mgr.has_tool("memory") # builtin doesn't register this
def test_second_external_plugin_rejected(self):
"""Only one external memory provider is allowed at a time."""
mgr = MemoryManager()
p1 = SQLiteMemoryProvider()
p2 = SQLiteMemoryProvider()
# Hack name for p2
p2._name_override = "sqlite_memory_2"
original_name = p2.__class__.name
type(p2).name = property(lambda self: getattr(self, '_name_override', 'sqlite_memory'))
mgr.add_provider(p1)
mgr.add_provider(p2) # should be rejected
# Only p1 was accepted
assert len(mgr.providers) == 1
assert mgr.provider_names == ["sqlite_memory"]
# Restore class
type(p2).name = original_name
mgr.shutdown_all()
def test_provider_failure_isolation(self):
"""Failing external provider doesn't break builtin."""
from agent.builtin_memory_provider import BuiltinMemoryProvider
mgr = MemoryManager()
builtin = BuiltinMemoryProvider() # name="builtin", always accepted
ext = SQLiteMemoryProvider()
mgr.add_provider(builtin)
mgr.add_provider(ext)
mgr.initialize_all(session_id="test-4")
# Break external provider's connection
ext._conn.close()
ext._conn = None
# Sync — external fails silently, builtin (no-op sync) succeeds
mgr.sync_all("user", "assistant") # should not raise
mgr.shutdown_all()
def test_plugin_registration_flow(self):
"""Simulate the full plugin load → agent init path."""
# Simulate what AIAgent.__init__ does via plugins/memory/ discovery
provider = SQLiteMemoryProvider()
mem_mgr = MemoryManager()
mem_mgr.add_provider(BuiltinMemoryProvider())
if provider.is_available():
mem_mgr.add_provider(provider)
mem_mgr.initialize_all(session_id="agent-session")
assert len(mem_mgr.providers) == 2
assert mem_mgr.provider_names == ["builtin", "sqlite_memory"]
assert provider._conn is not None # initialized = connection established
mem_mgr.shutdown_all()
+157 -4
View File
@@ -6,6 +6,8 @@ from unittest.mock import MagicMock, patch
from agent.memory_provider import MemoryProvider
from agent.memory_manager import MemoryManager
from agent.builtin_memory_provider import BuiltinMemoryProvider
# ---------------------------------------------------------------------------
# Concrete test provider
@@ -116,7 +118,7 @@ class TestMemoryManager:
def test_empty_manager(self):
mgr = MemoryManager()
assert mgr.providers == []
assert [p.name for p in mgr.providers] == []
assert mgr.provider_names == []
assert mgr.get_all_tool_schemas() == []
assert mgr.build_system_prompt() == ""
assert mgr.prefetch_all("test") == ""
@@ -126,7 +128,7 @@ class TestMemoryManager:
p = FakeMemoryProvider("test1")
mgr.add_provider(p)
assert len(mgr.providers) == 1
assert [p.name for p in mgr.providers] == ["test1"]
assert mgr.provider_names == ["test1"]
def test_get_provider_by_name(self):
mgr = MemoryManager()
@@ -141,7 +143,7 @@ class TestMemoryManager:
p2 = FakeMemoryProvider("external")
mgr.add_provider(p1)
mgr.add_provider(p2)
assert [p.name for p in mgr.providers] == ["builtin", "external"]
assert mgr.provider_names == ["builtin", "external"]
def test_second_external_rejected(self):
"""Only one non-builtin provider is allowed."""
@@ -152,7 +154,7 @@ class TestMemoryManager:
mgr.add_provider(builtin)
mgr.add_provider(ext1)
mgr.add_provider(ext2) # should be rejected
assert [p.name for p in mgr.providers] == ["builtin", "mem0"]
assert mgr.provider_names == ["builtin", "mem0"]
assert len(mgr.providers) == 2
def test_system_prompt_merges_blocks(self):
@@ -319,6 +321,17 @@ class TestMemoryManager:
mgr.on_pre_compress([{"role": "user", "content": "old"}])
assert p.pre_compress_called
def test_on_memory_write_skips_builtin(self):
"""on_memory_write should skip the builtin provider."""
mgr = MemoryManager()
builtin = BuiltinMemoryProvider()
external = FakeMemoryProvider("external")
mgr.add_provider(builtin)
mgr.add_provider(external)
mgr.on_memory_write("add", "memory", "test fact")
assert external.memory_writes == [("add", "memory", "test fact")]
def test_shutdown_all_reverse_order(self):
mgr = MemoryManager()
order = []
@@ -372,6 +385,146 @@ class TestMemoryManager:
assert result == "works fine"
# ---------------------------------------------------------------------------
# BuiltinMemoryProvider tests
# ---------------------------------------------------------------------------
class TestBuiltinMemoryProvider:
def test_name(self):
p = BuiltinMemoryProvider()
assert p.name == "builtin"
def test_always_available(self):
p = BuiltinMemoryProvider()
assert p.is_available()
def test_no_tools(self):
"""Builtin provider exposes no tools (memory tool is agent-level)."""
p = BuiltinMemoryProvider()
assert p.get_tool_schemas() == []
def test_system_prompt_with_store(self):
store = MagicMock()
store.format_for_system_prompt.side_effect = lambda t: f"BLOCK_{t}" if t == "memory" else f"BLOCK_{t}"
p = BuiltinMemoryProvider(
memory_store=store,
memory_enabled=True,
user_profile_enabled=True,
)
block = p.system_prompt_block()
assert "BLOCK_memory" in block
assert "BLOCK_user" in block
def test_system_prompt_memory_disabled(self):
store = MagicMock()
store.format_for_system_prompt.return_value = "content"
p = BuiltinMemoryProvider(
memory_store=store,
memory_enabled=False,
user_profile_enabled=False,
)
assert p.system_prompt_block() == ""
def test_system_prompt_no_store(self):
p = BuiltinMemoryProvider(memory_store=None, memory_enabled=True)
assert p.system_prompt_block() == ""
def test_prefetch_returns_empty(self):
p = BuiltinMemoryProvider()
assert p.prefetch("anything") == ""
def test_store_property(self):
store = MagicMock()
p = BuiltinMemoryProvider(memory_store=store)
assert p.store is store
def test_initialize_loads_from_disk(self):
store = MagicMock()
p = BuiltinMemoryProvider(memory_store=store)
p.initialize(session_id="test")
store.load_from_disk.assert_called_once()
# ---------------------------------------------------------------------------
# Plugin registration tests
# ---------------------------------------------------------------------------
class TestSingleProviderGating:
"""Only the configured provider should activate."""
def test_no_provider_configured_means_builtin_only(self):
"""When memory.provider is empty, no plugin providers activate."""
mgr = MemoryManager()
builtin = BuiltinMemoryProvider()
mgr.add_provider(builtin)
# Simulate what run_agent.py does when provider=""
configured = ""
available_plugins = [
FakeMemoryProvider("holographic"),
FakeMemoryProvider("mem0"),
]
# With empty config, no plugins should be added
if configured:
for p in available_plugins:
if p.name == configured and p.is_available():
mgr.add_provider(p)
assert mgr.provider_names == ["builtin"]
def test_configured_provider_activates(self):
"""Only the named provider should be added."""
mgr = MemoryManager()
builtin = BuiltinMemoryProvider()
mgr.add_provider(builtin)
configured = "holographic"
p1 = FakeMemoryProvider("holographic")
p2 = FakeMemoryProvider("mem0")
p3 = FakeMemoryProvider("hindsight")
for p in [p1, p2, p3]:
if p.name == configured and p.is_available():
mgr.add_provider(p)
assert mgr.provider_names == ["builtin", "holographic"]
assert p1.initialized is False # not initialized by the gating logic itself
def test_unavailable_provider_skipped(self):
"""If the configured provider is unavailable, it should be skipped."""
mgr = MemoryManager()
builtin = BuiltinMemoryProvider()
mgr.add_provider(builtin)
configured = "holographic"
p1 = FakeMemoryProvider("holographic", available=False)
for p in [p1]:
if p.name == configured and p.is_available():
mgr.add_provider(p)
assert mgr.provider_names == ["builtin"]
def test_nonexistent_provider_results_in_builtin_only(self):
"""If the configured name doesn't match any plugin, only builtin remains."""
mgr = MemoryManager()
builtin = BuiltinMemoryProvider()
mgr.add_provider(builtin)
configured = "nonexistent"
plugins = [FakeMemoryProvider("holographic"), FakeMemoryProvider("mem0")]
for p in plugins:
if p.name == configured and p.is_available():
mgr.add_provider(p)
assert mgr.provider_names == ["builtin"]
class TestPluginMemoryDiscovery:
"""Memory providers are discovered from plugins/memory/ directory."""
+56
View File
@@ -11,6 +11,7 @@ from agent.prompt_builder import (
_scan_context_content,
_truncate_content,
_parse_skill_file,
_read_skill_conditions,
_skill_should_show,
_find_hermes_md,
_find_git_root,
@@ -774,6 +775,61 @@ class TestPromptBuilderConstants:
# Conditional skill activation
# =========================================================================
class TestReadSkillConditions:
def test_no_conditions_returns_empty_lists(self, tmp_path):
skill_file = tmp_path / "SKILL.md"
skill_file.write_text("---\nname: test\ndescription: A skill\n---\n")
conditions = _read_skill_conditions(skill_file)
assert conditions["fallback_for_toolsets"] == []
assert conditions["requires_toolsets"] == []
assert conditions["fallback_for_tools"] == []
assert conditions["requires_tools"] == []
def test_reads_fallback_for_toolsets(self, tmp_path):
skill_file = tmp_path / "SKILL.md"
skill_file.write_text(
"---\nname: ddg\ndescription: DuckDuckGo\nmetadata:\n hermes:\n fallback_for_toolsets: [web]\n---\n"
)
conditions = _read_skill_conditions(skill_file)
assert conditions["fallback_for_toolsets"] == ["web"]
def test_reads_requires_toolsets(self, tmp_path):
skill_file = tmp_path / "SKILL.md"
skill_file.write_text(
"---\nname: openhue\ndescription: Hue lights\nmetadata:\n hermes:\n requires_toolsets: [terminal]\n---\n"
)
conditions = _read_skill_conditions(skill_file)
assert conditions["requires_toolsets"] == ["terminal"]
def test_reads_multiple_conditions(self, tmp_path):
skill_file = tmp_path / "SKILL.md"
skill_file.write_text(
"---\nname: test\ndescription: Test\nmetadata:\n hermes:\n fallback_for_toolsets: [browser]\n requires_tools: [terminal]\n---\n"
)
conditions = _read_skill_conditions(skill_file)
assert conditions["fallback_for_toolsets"] == ["browser"]
assert conditions["requires_tools"] == ["terminal"]
def test_missing_file_returns_empty(self, tmp_path):
conditions = _read_skill_conditions(tmp_path / "missing.md")
assert conditions == {}
def test_logs_condition_read_failures_and_returns_empty(self, tmp_path, monkeypatch, caplog):
skill_file = tmp_path / "SKILL.md"
skill_file.write_text("---\nname: broken\n---\n")
def boom(*args, **kwargs):
raise OSError("read exploded")
monkeypatch.setattr(type(skill_file), "read_text", boom)
with caplog.at_level(logging.DEBUG, logger="agent.prompt_builder"):
conditions = _read_skill_conditions(skill_file)
assert conditions == {}
assert "Failed to read skill conditions" in caplog.text
assert str(skill_file) in caplog.text
class TestSkillShouldShow:
def test_no_filter_info_always_shows(self):
assert _skill_should_show({}, None, None) is True
-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"
+2 -13
View File
@@ -6,17 +6,6 @@ from unittest.mock import patch
from cli import HermesCLI
def _assert_chrome_debug_cmd(cmd, expected_chrome, expected_port):
"""Verify the auto-launch command has all required flags."""
assert cmd[0] == expected_chrome
assert f"--remote-debugging-port={expected_port}" in cmd
assert "--no-first-run" in cmd
assert "--no-default-browser-check" in cmd
user_data_args = [a for a in cmd if a.startswith("--user-data-dir=")]
assert len(user_data_args) == 1, "Expected exactly one --user-data-dir flag"
assert "chrome-debug" in user_data_args[0]
class TestChromeDebugLaunch:
def test_windows_launch_uses_browser_found_on_path(self):
captured = {}
@@ -31,7 +20,7 @@ class TestChromeDebugLaunch:
patch("subprocess.Popen", side_effect=fake_popen):
assert HermesCLI._try_launch_chrome_debug(9333, "Windows") is True
_assert_chrome_debug_cmd(captured["cmd"], r"C:\Chrome\chrome.exe", 9333)
assert captured["cmd"] == [r"C:\Chrome\chrome.exe", "--remote-debugging-port=9333"]
assert captured["kwargs"]["start_new_session"] is True
def test_windows_launch_falls_back_to_common_install_dirs(self, monkeypatch):
@@ -54,4 +43,4 @@ class TestChromeDebugLaunch:
patch("subprocess.Popen", side_effect=fake_popen):
assert HermesCLI._try_launch_chrome_debug(9222, "Windows") is True
_assert_chrome_debug_cmd(captured["cmd"], installed, 9222)
assert captured["cmd"] == [installed, "--remote-debugging-port=9222"]

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