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Author SHA1 Message Date
Teknium
3b89a50aad fix: add explicit hermes-api-server toolset for API server platform
The API server adapter was creating agents without specifying enabled_toolsets,
causing ALL tools from ALL toolsets to be loaded (including clarify, send_message,
and text_to_speech which don't work without interactive callbacks or gateway
dispatch). This could confuse models by presenting too many irrelevant tools,
and meant the platform_toolsets config override didn't apply to API server.

Changes:
- Add hermes-api-server toolset to toolsets.py with appropriate tools
  (web, terminal, files, browser, vision, skills, HA tools, etc.)
  but excluding clarify, send_message, and text_to_speech
- Update _create_agent() in api_server.py to use enabled_toolsets=[hermes-api-server]
- Add api_server to PLATFORMS dict in tools_config.py for config override support
- Add tests for toolset definition, tool inclusion/exclusion, and adapter wiring
2026-03-26 16:04:39 -07:00
2071 changed files with 79835 additions and 474450 deletions

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@@ -1,16 +0,0 @@
# Git
.git
.gitignore
.gitmodules
# Dependencies
node_modules
.venv
# CI/CD
.github
# Environment files
.env
*.md

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@@ -7,38 +7,18 @@
# OpenRouter provides access to many models through one API
# All LLM calls go through OpenRouter - no direct provider keys needed
# Get your key at: https://openrouter.ai/keys
# OPENROUTER_API_KEY=
OPENROUTER_API_KEY=
# Default model is configured in ~/.hermes/config.yaml (model.default).
# Use 'hermes model' or 'hermes setup' to change it.
# LLM_MODEL is no longer read from .env — this line is kept for reference only.
# LLM_MODEL=anthropic/claude-opus-4.6
# =============================================================================
# LLM PROVIDER (Google AI Studio / Gemini)
# =============================================================================
# Native Gemini API via Google's OpenAI-compatible endpoint.
# Get your key at: https://aistudio.google.com/app/apikey
# GOOGLE_API_KEY=your_google_ai_studio_key_here
# GEMINI_API_KEY=your_gemini_key_here # alias for GOOGLE_API_KEY
# Optional base URL override (default: Google's OpenAI-compatible endpoint)
# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
# =============================================================================
# LLM PROVIDER (Ollama Cloud)
# =============================================================================
# Cloud-hosted open models via Ollama's OpenAI-compatible endpoint.
# Get your key at: https://ollama.com/settings
# OLLAMA_API_KEY=your_ollama_key_here
# Optional base URL override (default: https://ollama.com/v1)
# OLLAMA_BASE_URL=https://ollama.com/v1
# Default model to use (OpenRouter format: provider/model)
# Examples: anthropic/claude-opus-4.6, openai/gpt-4o, google/gemini-3-flash-preview, zhipuai/glm-4-plus
LLM_MODEL=anthropic/claude-opus-4.6
# =============================================================================
# LLM PROVIDER (z.ai / GLM)
# =============================================================================
# z.ai provides access to ZhipuAI GLM models (GLM-4-Plus, etc.)
# Get your key at: https://z.ai or https://open.bigmodel.cn
# GLM_API_KEY=
GLM_API_KEY=
# GLM_BASE_URL=https://api.z.ai/api/paas/v4 # Override default base URL
# =============================================================================
@@ -48,30 +28,21 @@
# Get your key at: https://platform.kimi.ai (Kimi Code console)
# Keys prefixed sk-kimi- use the Kimi Code API (api.kimi.com) by default.
# Legacy keys from platform.moonshot.ai need KIMI_BASE_URL override below.
# KIMI_API_KEY=
KIMI_API_KEY=
# KIMI_BASE_URL=https://api.kimi.com/coding/v1 # Default for sk-kimi- keys
# KIMI_BASE_URL=https://api.moonshot.ai/v1 # For legacy Moonshot keys
# KIMI_BASE_URL=https://api.moonshot.cn/v1 # For Moonshot China keys
# KIMI_CN_API_KEY= # Dedicated Moonshot China key
# =============================================================================
# LLM PROVIDER (Arcee AI)
# =============================================================================
# Arcee AI provides access to Trinity models (trinity-mini, trinity-large-*)
# Get an Arcee key at: https://chat.arcee.ai/
# ARCEEAI_API_KEY=
# ARCEE_BASE_URL= # Override default base URL
# =============================================================================
# LLM PROVIDER (MiniMax)
# =============================================================================
# MiniMax provides access to MiniMax models (global endpoint)
# Get your key at: https://www.minimax.io
# MINIMAX_API_KEY=
MINIMAX_API_KEY=
# MINIMAX_BASE_URL=https://api.minimax.io/v1 # Override default base URL
# MiniMax China endpoint (for users in mainland China)
# MINIMAX_CN_API_KEY=
MINIMAX_CN_API_KEY=
# MINIMAX_CN_BASE_URL=https://api.minimaxi.com/v1 # Override default base URL
# =============================================================================
@@ -79,7 +50,7 @@
# =============================================================================
# OpenCode Zen provides curated, tested models (GPT, Claude, Gemini, MiniMax, GLM, Kimi)
# Pay-as-you-go pricing. Get your key at: https://opencode.ai/auth
# OPENCODE_ZEN_API_KEY=
OPENCODE_ZEN_API_KEY=
# OPENCODE_ZEN_BASE_URL=https://opencode.ai/zen/v1 # Override default base URL
# =============================================================================
@@ -87,64 +58,34 @@
# =============================================================================
# OpenCode Go provides access to open models (GLM-5, Kimi K2.5, MiniMax M2.5)
# $10/month subscription. Get your key at: https://opencode.ai/auth
# OPENCODE_GO_API_KEY=
# =============================================================================
# LLM PROVIDER (Hugging Face Inference Providers)
# =============================================================================
# Hugging Face routes to 20+ open models via unified OpenAI-compatible endpoint.
# Free tier included ($0.10/month), no markup on provider rates.
# Get your token at: https://huggingface.co/settings/tokens
# Required permission: "Make calls to Inference Providers"
# HF_TOKEN=
OPENCODE_GO_API_KEY=
# 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
# =============================================================================
# LLM PROVIDER (Xiaomi MiMo)
# =============================================================================
# Xiaomi MiMo models (mimo-v2-pro, mimo-v2-omni, mimo-v2-flash).
# Get your key at: https://platform.xiaomimimo.com
# XIAOMI_API_KEY=your_key_here
# Optional base URL override:
# XIAOMI_BASE_URL=https://api.xiaomimimo.com/v1
# =============================================================================
# TOOL API KEYS
# =============================================================================
# Exa API Key - AI-native web search and contents
# Get at: https://exa.ai
# EXA_API_KEY=
# Parallel API Key - AI-native web search and extract
# Get at: https://parallel.ai
# PARALLEL_API_KEY=
PARALLEL_API_KEY=
# Firecrawl API Key - Web search, extract, and crawl
# Get at: https://firecrawl.dev/
# FIRECRAWL_API_KEY=
FIRECRAWL_API_KEY=
# FAL.ai API Key - Image generation
# Get at: https://fal.ai/
# FAL_KEY=
FAL_KEY=
# Honcho - Cross-session AI-native user modeling (optional)
# Builds a persistent understanding of the user across sessions and tools.
# Get at: https://app.honcho.dev
# Also requires ~/.honcho/config.json with enabled=true (see README).
# HONCHO_API_KEY=
HONCHO_API_KEY=
# =============================================================================
# TERMINAL TOOL CONFIGURATION
# TERMINAL TOOL CONFIGURATION (mini-swe-agent backend)
# =============================================================================
# Backend type: "local", "singularity", "docker", "modal", or "ssh"
# Terminal backend is configured in ~/.hermes/config.yaml (terminal.backend).
@@ -154,10 +95,6 @@
# Only override here if you need to force a backend without touching config.yaml:
# TERMINAL_ENV=local
# Override the container runtime binary (e.g. to use Podman instead of Docker).
# Useful on systems where Docker's storage driver is broken or unavailable.
# HERMES_DOCKER_BINARY=/usr/local/bin/podman
# Container images (for singularity/docker/modal backends)
# TERMINAL_DOCKER_IMAGE=nikolaik/python-nodejs:python3.11-nodejs20
# TERMINAL_SINGULARITY_IMAGE=docker://nikolaik/python-nodejs:python3.11-nodejs20
@@ -231,10 +168,10 @@ TERMINAL_LIFETIME_SECONDS=300
# Browserbase API Key - Cloud browser execution
# Get at: https://browserbase.com/
# BROWSERBASE_API_KEY=
BROWSERBASE_API_KEY=
# Browserbase Project ID - From your Browserbase dashboard
# BROWSERBASE_PROJECT_ID=
BROWSERBASE_PROJECT_ID=
# Enable residential proxies for better CAPTCHA solving (default: true)
# Routes traffic through residential IPs, significantly improves success rate
@@ -266,7 +203,7 @@ BROWSER_INACTIVITY_TIMEOUT=120
# Uses OpenAI's API directly (not via OpenRouter).
# Named VOICE_TOOLS_OPENAI_KEY to avoid interference with OpenRouter.
# Get at: https://platform.openai.com/api-keys
# VOICE_TOOLS_OPENAI_KEY=
VOICE_TOOLS_OPENAI_KEY=
# =============================================================================
# SLACK INTEGRATION
@@ -281,21 +218,6 @@ BROWSER_INACTIVITY_TIMEOUT=120
# Slack allowed users (comma-separated Slack user IDs)
# SLACK_ALLOWED_USERS=
# =============================================================================
# TELEGRAM INTEGRATION
# =============================================================================
# Telegram Bot Token - From @BotFather (https://t.me/BotFather)
# TELEGRAM_BOT_TOKEN=
# TELEGRAM_ALLOWED_USERS= # Comma-separated user IDs
# TELEGRAM_HOME_CHANNEL= # Default chat for cron delivery
# TELEGRAM_HOME_CHANNEL_NAME= # Display name for home channel
# Webhook mode (optional — for cloud deployments like Fly.io/Railway)
# Default is long polling. Setting TELEGRAM_WEBHOOK_URL switches to webhook mode.
# TELEGRAM_WEBHOOK_URL=https://my-app.fly.dev/telegram
# TELEGRAM_WEBHOOK_PORT=8443
# TELEGRAM_WEBHOOK_SECRET= # Recommended for production
# WhatsApp (built-in Baileys bridge — run `hermes whatsapp` to pair)
# WHATSAPP_ENABLED=false
# WHATSAPP_ALLOWED_USERS=15551234567
@@ -352,11 +274,11 @@ IMAGE_TOOLS_DEBUG=false
# Tinker API Key - RL training service
# Get at: https://tinker-console.thinkingmachines.ai/keys
# TINKER_API_KEY=
TINKER_API_KEY=
# Weights & Biases API Key - Experiment tracking and metrics
# Get at: https://wandb.ai/authorize
# WANDB_API_KEY=
WANDB_API_KEY=
# RL API Server URL (default: http://localhost:8080)
# Change if running the rl-server on a different host/port

4
.envrc
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@@ -1,5 +1 @@
watch_file pyproject.toml uv.lock
watch_file ui-tui/package-lock.json ui-tui/package.json
watch_file flake.nix flake.lock nix/devShell.nix nix/tui.nix nix/package.nix nix/python.nix
use flake

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@@ -1,5 +0,0 @@
# hermes_agent package restructure (PR 1/3)
# Commit 2: pure git mv — all source files into hermes_agent/
65ca3ba93b3fa7fd2b15af5b62d54020061f3672
# Commit 3: rewrite all imports for hermes_agent package
4b16341975a1217588054f567d0f76dc5a3cc481

2
.gitattributes vendored
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@@ -1,2 +0,0 @@
# Auto-generated files — collapse diffs and exclude from language stats
web/package-lock.json linguist-generated=true

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@@ -11,7 +11,6 @@ body:
**Before submitting**, please:
- [ ] Search [existing issues](https://github.com/NousResearch/hermes-agent/issues) to avoid duplicates
- [ ] Update to the latest version (`hermes update`) and confirm the bug still exists
- [ ] Run `hermes debug share` and paste the links below (see Debug Report section)
- type: textarea
id: description
@@ -83,25 +82,6 @@ body:
- Slack
- WhatsApp
- type: textarea
id: debug-report
attributes:
label: Debug Report
description: |
Run `hermes debug share` from your terminal and paste the links it prints here.
This uploads your system info, config, and recent logs to a paste service automatically.
If you're in an interactive chat session, you can also use the `/debug` slash command — it does the same thing.
If the upload fails, run `hermes debug share --local` and paste the output directly.
placeholder: |
Report https://paste.rs/abc123
agent.log https://paste.rs/def456
gateway.log https://paste.rs/ghi789
render: shell
validations:
required: true
- type: input
id: os
attributes:
@@ -117,6 +97,8 @@ body:
label: Python Version
description: Output of `python --version`
placeholder: "3.11.9"
validations:
required: true
- type: input
id: hermes-version
@@ -124,14 +106,14 @@ body:
label: Hermes Version
description: Output of `hermes version`
placeholder: "2.1.0"
validations:
required: true
- type: textarea
id: logs
attributes:
label: Additional Logs / Traceback (optional)
description: |
The debug report above covers most logs. Use this field for any extra error output,
tracebacks, or screenshots not captured by `hermes debug share`.
label: Relevant Logs / Traceback
description: Paste any error output, traceback, or log messages. This will be auto-formatted as code.
render: shell
- type: textarea

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@@ -71,15 +71,3 @@ body:
label: Contribution
options:
- label: I'd like to implement this myself and submit a PR
- type: textarea
id: debug-report
attributes:
label: Debug Report (optional)
description: |
If this feature request is related to a problem you're experiencing, run `hermes debug share` and paste the links here.
In an interactive chat session, you can use `/debug` instead.
This helps us understand your environment and any related logs.
placeholder: |
Report https://paste.rs/abc123
render: shell

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@@ -9,8 +9,7 @@ body:
Sorry you're having trouble! Please fill out the details below so we can help.
**Quick checks first:**
- Run `hermes debug share` and paste the links in the Debug Report section below
- If you're in a chat session, you can use `/debug` instead — it does the same thing
- Run `hermes doctor` and include the output below
- Try `hermes update` to get the latest version
- Check the [README troubleshooting section](https://github.com/NousResearch/hermes-agent#troubleshooting)
- For general questions, consider the [Nous Research Discord](https://discord.gg/NousResearch) for faster help
@@ -75,21 +74,10 @@ body:
placeholder: "2.1.0"
- type: textarea
id: debug-report
id: doctor-output
attributes:
label: Debug Report
description: |
Run `hermes debug share` from your terminal and paste the links it prints here.
This uploads your system info, config, and recent logs to a paste service automatically.
If you're in an interactive chat session, you can also use the `/debug` slash command — it does the same thing.
If the upload fails or install didn't get that far, run `hermes debug share --local` and paste the output directly.
If even that doesn't work, run `hermes doctor` and paste that output instead.
placeholder: |
Report https://paste.rs/abc123
agent.log https://paste.rs/def456
gateway.log https://paste.rs/ghi789
label: Output of `hermes doctor`
description: Run `hermes doctor` and paste the full output. This will be auto-formatted.
render: shell
- type: textarea

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@@ -1,8 +0,0 @@
name: 'Setup Nix'
description: 'Install Nix with DeterminateSystems and enable magic-nix-cache'
runs:
using: composite
steps:
- uses: DeterminateSystems/nix-installer-action@ef8a148080ab6020fd15196c2084a2eea5ff2d25 # v22
- uses: DeterminateSystems/magic-nix-cache-action@565684385bcd71bad329742eefe8d12f2e765b39 # v13

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@@ -1,73 +0,0 @@
name: Contributor Attribution Check
on:
pull_request:
branches: [main]
paths:
# Only run when code files change (not docs-only PRs)
- '*.py'
- '**/*.py'
- '.github/workflows/contributor-check.yml'
permissions:
contents: read
jobs:
check-attribution:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
fetch-depth: 0 # Full history needed for git log
- name: Check for unmapped contributor emails
run: |
# Get the merge base between this PR and main
MERGE_BASE=$(git merge-base origin/main HEAD)
# Find any new author emails in this PR's commits
NEW_EMAILS=$(git log ${MERGE_BASE}..HEAD --format='%ae' --no-merges | sort -u)
if [ -z "$NEW_EMAILS" ]; then
echo "No new commits to check."
exit 0
fi
# Check each email against AUTHOR_MAP in release.py
MISSING=""
while IFS= read -r email; do
# Skip teknium and bot emails
case "$email" in
*teknium*|*noreply@github.com*|*dependabot*|*github-actions*|*anthropic.com*|*cursor.com*)
continue ;;
esac
# Check if email is in AUTHOR_MAP (either as a key or matches noreply pattern)
if echo "$email" | grep -qP '\+.*@users\.noreply\.github\.com'; then
continue # GitHub noreply emails auto-resolve
fi
if ! grep -qF "\"${email}\"" scripts/release.py 2>/dev/null; then
AUTHOR=$(git log --author="$email" --format='%an' -1)
MISSING="${MISSING}\n ${email} (${AUTHOR})"
fi
done <<< "$NEW_EMAILS"
if [ -n "$MISSING" ]; then
echo ""
echo "⚠️ New contributor email(s) not in AUTHOR_MAP:"
echo -e "$MISSING"
echo ""
echo "Please add mappings to scripts/release.py AUTHOR_MAP:"
echo -e "$MISSING" | while read -r line; do
email=$(echo "$line" | sed 's/^ *//' | cut -d' ' -f1)
[ -z "$email" ] && continue
echo " \"${email}\": \"<github-username>\","
done
echo ""
echo "To find the GitHub username for an email:"
echo " gh api 'search/users?q=EMAIL+in:email' --jq '.items[0].login'"
exit 1
else
echo "✅ All contributor emails are mapped in AUTHOR_MAP."
fi

View File

@@ -1,14 +1,11 @@
name: Deploy Site
on:
release:
types: [published]
push:
branches: [main]
paths:
- 'website/**'
- 'skills/**'
- 'optional-skills/**'
- 'landingpage/**'
- '.github/workflows/deploy-site.yml'
workflow_dispatch:
@@ -21,46 +18,20 @@ concurrency:
cancel-in-progress: false
jobs:
deploy-vercel:
if: github.event_name == 'release'
runs-on: ubuntu-latest
steps:
- name: Trigger Vercel Deploy
run: curl -X POST "${{ secrets.VERCEL_DEPLOY_HOOK }}"
deploy-docs:
if: github.repository == 'NousResearch/hermes-agent'
build-and-deploy:
runs-on: ubuntu-latest
environment:
name: github-pages
url: ${{ steps.deploy.outputs.page_url }}
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: actions/checkout@v4
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
- uses: actions/setup-node@v4
with:
node-version: 20
cache: npm
cache-dependency-path: website/package-lock.json
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: '3.11'
- name: Install PyYAML for skill extraction
run: pip install pyyaml==6.0.2 httpx==0.28.1
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
- name: Build skills index (if not already present)
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
if [ ! -f website/static/api/skills-index.json ]; then
python3 scripts/build_skills_index.py || echo "Skills index build failed (non-fatal)"
fi
- name: Install dependencies
run: npm ci
working-directory: website
@@ -72,13 +43,18 @@ jobs:
- name: Stage deployment
run: |
mkdir -p _site/docs
# Landing page at root
cp -r landingpage/* _site/
# Docusaurus at /docs/
cp -r website/build/* _site/docs/
# CNAME so GitHub Pages keeps the custom domain between deploys
echo "hermes-agent.nousresearch.com" > _site/CNAME
- name: Upload artifact
uses: actions/upload-pages-artifact@56afc609e74202658d3ffba0e8f6dda462b719fa # v3
uses: actions/upload-pages-artifact@v3
with:
path: _site
- name: Deploy to GitHub Pages
id: deploy
uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e # v4
uses: actions/deploy-pages@v4

View File

@@ -1,99 +0,0 @@
name: Docker Build and Publish
on:
push:
branches: [main]
paths:
- '**/*.py'
- 'pyproject.toml'
- 'uv.lock'
- 'Dockerfile'
- 'docker/**'
- '.github/workflows/docker-publish.yml'
release:
types: [published]
permissions:
contents: read
concurrency:
group: docker-${{ github.ref }}
cancel-in-progress: true
jobs:
build-and-push:
# Only run on the upstream repository, not on forks
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
timeout-minutes: 60
steps:
- name: Checkout code
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
submodules: recursive
- name: Set up QEMU
uses: docker/setup-qemu-action@c7c53464625b32c7a7e944ae62b3e17d2b600130 # v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # 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)
uses: docker/build-push-action@10e90e3645eae34f1e60eeb005ba3a3d33f178e8 # 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
- name: Test image starts
run: |
# The image runs as the hermes user (UID 10000). GitHub Actions
# creates /tmp/hermes-test root-owned by default, which hermes
# can't write to — chown it to match the in-container UID before
# bind-mounting. Real users doing `docker run -v ~/.hermes:...`
# with their own UID hit the same issue and have their own
# remediations (HERMES_UID env var, or chown locally).
mkdir -p /tmp/hermes-test
sudo chown -R 10000:10000 /tmp/hermes-test
docker run --rm \
-v /tmp/hermes-test:/opt/data \
--entrypoint /opt/hermes/docker/entrypoint.sh \
nousresearch/hermes-agent:test --help
- name: Log in to Docker Hub
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9 # v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Push multi-arch image (main branch)
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
uses: docker/build-push-action@10e90e3645eae34f1e60eeb005ba3a3d33f178e8 # v6
with:
context: .
file: Dockerfile
push: true
platforms: linux/amd64,linux/arm64
tags: nousresearch/hermes-agent:latest
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Push multi-arch image (release)
if: github.event_name == 'release'
uses: docker/build-push-action@10e90e3645eae34f1e60eeb005ba3a3d33f178e8 # v6
with:
context: .
file: Dockerfile
push: true
platforms: linux/amd64,linux/arm64
tags: nousresearch/hermes-agent:${{ github.event.release.tag_name }}
cache-from: type=gha
cache-to: type=gha,mode=max

View File

@@ -7,16 +7,13 @@ on:
- '.github/workflows/docs-site-checks.yml'
workflow_dispatch:
permissions:
contents: read
jobs:
docs-site-checks:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: actions/checkout@v4
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
- uses: actions/setup-node@v4
with:
node-version: 20
cache: npm
@@ -26,15 +23,12 @@ jobs:
run: npm ci
working-directory: website
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install ascii-guard
run: python -m pip install ascii-guard==2.3.0 pyyaml==6.0.3
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
run: python -m pip install ascii-guard
- name: Lint docs diagrams
run: npm run lint:diagrams

View File

@@ -1,68 +0,0 @@
name: Nix Lockfile Check
on:
pull_request:
workflow_dispatch:
permissions:
contents: read
pull-requests: write
concurrency:
group: nix-lockfile-check-${{ github.ref }}
cancel-in-progress: true
jobs:
check:
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: ./.github/actions/nix-setup
- name: Resolve head SHA
id: sha
shell: bash
run: |
FULL="${{ github.event.pull_request.head.sha || github.sha }}"
echo "full=$FULL" >> "$GITHUB_OUTPUT"
echo "short=${FULL:0:7}" >> "$GITHUB_OUTPUT"
- name: Check lockfile hashes
id: check
continue-on-error: true
env:
LINK_SHA: ${{ steps.sha.outputs.full }}
run: nix run .#fix-lockfiles -- --check
- name: Post sticky PR comment (stale)
if: steps.check.outputs.stale == 'true' && github.event_name == 'pull_request'
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
message: |
### ⚠️ npm lockfile hash out of date
Checked against commit [`${{ steps.sha.outputs.short }}`](${{ github.server_url }}/${{ github.repository }}/commit/${{ steps.sha.outputs.full }}) (PR head at check time).
The `hash = "sha256-..."` line in these nix files no longer matches the committed `package-lock.json`:
${{ steps.check.outputs.report }}
#### Apply the fix
- [ ] **Apply lockfile fix** — tick to push a commit with the correct hashes to this PR branch
- Or [run the Nix Lockfile Fix workflow](${{ github.server_url }}/${{ github.repository }}/actions/workflows/nix-lockfile-fix.yml) manually (pass PR `#${{ github.event.pull_request.number }}`)
- Or locally: `nix run .#fix-lockfiles -- --apply` and commit the diff
- name: Clear sticky PR comment (resolved)
if: steps.check.outputs.stale == 'false' && github.event_name == 'pull_request'
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
delete: true
- name: Fail if stale
if: steps.check.outputs.stale == 'true'
run: exit 1

View File

@@ -1,149 +0,0 @@
name: Nix Lockfile Fix
on:
workflow_dispatch:
inputs:
pr_number:
description: 'PR number to fix (leave empty to run on the selected branch)'
required: false
type: string
issue_comment:
types: [edited]
permissions:
contents: write
pull-requests: write
concurrency:
group: nix-lockfile-fix-${{ github.event.issue.number || github.event.inputs.pr_number || github.ref }}
cancel-in-progress: false
jobs:
fix:
# Run on manual dispatch OR when a task-list checkbox in the sticky
# lockfile-check comment flips from `[ ]` to `[x]`.
if: |
github.event_name == 'workflow_dispatch' ||
(github.event_name == 'issue_comment'
&& github.event.issue.pull_request != null
&& contains(github.event.comment.body, '[x] **Apply lockfile fix**')
&& !contains(github.event.changes.body.from, '[x] **Apply lockfile fix**'))
runs-on: ubuntu-latest
timeout-minutes: 25
steps:
- name: Authorize & resolve PR
id: resolve
uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
with:
script: |
// 1. Verify the actor has write access — applies to both checkbox
// clicks and manual dispatch.
const { data: perm } =
await github.rest.repos.getCollaboratorPermissionLevel({
owner: context.repo.owner,
repo: context.repo.repo,
username: context.actor,
});
if (!['admin', 'write', 'maintain'].includes(perm.permission)) {
core.setFailed(
`${context.actor} lacks write access (has: ${perm.permission})`
);
return;
}
// 2. Resolve which ref to check out.
let prNumber = '';
if (context.eventName === 'issue_comment') {
prNumber = String(context.payload.issue.number);
} else if (context.eventName === 'workflow_dispatch') {
prNumber = context.payload.inputs.pr_number || '';
}
if (!prNumber) {
core.setOutput('ref', context.ref.replace(/^refs\/heads\//, ''));
core.setOutput('repo', context.repo.repo);
core.setOutput('owner', context.repo.owner);
core.setOutput('pr', '');
return;
}
const { data: pr } = await github.rest.pulls.get({
owner: context.repo.owner,
repo: context.repo.repo,
pull_number: Number(prNumber),
});
core.setOutput('ref', pr.head.ref);
core.setOutput('repo', pr.head.repo.name);
core.setOutput('owner', pr.head.repo.owner.login);
core.setOutput('pr', String(pr.number));
# Wipe the sticky lockfile-check comment to a "running" state as soon
# as the job is authorized, so the user sees their click was picked up
# before the ~minute of nix build work.
- name: Mark sticky as running
if: steps.resolve.outputs.pr != ''
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
number: ${{ steps.resolve.outputs.pr }}
message: |
### 🔄 Applying lockfile fix…
Triggered by @${{ github.actor }} — [workflow run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}).
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
repository: ${{ steps.resolve.outputs.owner }}/${{ steps.resolve.outputs.repo }}
ref: ${{ steps.resolve.outputs.ref }}
token: ${{ secrets.GITHUB_TOKEN }}
fetch-depth: 0
- uses: ./.github/actions/nix-setup
- name: Apply lockfile hashes
id: apply
run: nix run .#fix-lockfiles -- --apply
- name: Commit & push
if: steps.apply.outputs.changed == 'true'
shell: bash
run: |
set -euo pipefail
git config user.name 'github-actions[bot]'
git config user.email '41898282+github-actions[bot]@users.noreply.github.com'
git add nix/tui.nix nix/web.nix
git commit -m "fix(nix): refresh npm lockfile hashes"
git push
- name: Update sticky (applied)
if: steps.apply.outputs.changed == 'true' && steps.resolve.outputs.pr != ''
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
number: ${{ steps.resolve.outputs.pr }}
message: |
### ✅ Lockfile fix applied
Pushed a commit refreshing the npm lockfile hashes — [workflow run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}).
- name: Update sticky (already current)
if: steps.apply.outputs.changed == 'false' && steps.resolve.outputs.pr != ''
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
number: ${{ steps.resolve.outputs.pr }}
message: |
### ✅ Lockfile hashes already current
Nothing to commit — [workflow run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}).
- name: Update sticky (failed)
if: failure() && steps.resolve.outputs.pr != ''
uses: marocchino/sticky-pull-request-comment@52423e01640425a022ef5fd42c6fb5f633a02728 # v2.9.1
with:
header: nix-lockfile-check
number: ${{ steps.resolve.outputs.pr }}
message: |
### ❌ Lockfile fix failed
See the [workflow run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}) for logs.

View File

@@ -4,9 +4,15 @@ on:
push:
branches: [main]
pull_request:
permissions:
contents: read
paths:
- 'flake.nix'
- 'flake.lock'
- 'nix/**'
- 'pyproject.toml'
- 'uv.lock'
- 'hermes_cli/**'
- 'run_agent.py'
- 'acp_adapter/**'
concurrency:
group: nix-${{ github.ref }}
@@ -20,8 +26,9 @@ jobs:
runs-on: ${{ matrix.os }}
timeout-minutes: 30
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: ./.github/actions/nix-setup
- uses: actions/checkout@v4
- uses: DeterminateSystems/nix-installer-action@main
- uses: DeterminateSystems/magic-nix-cache-action@main
- name: Check flake
if: runner.os == 'Linux'
run: nix flake check --print-build-logs

View File

@@ -1,101 +0,0 @@
name: Build Skills Index
on:
schedule:
# Run twice daily: 6 AM and 6 PM UTC
- cron: '0 6,18 * * *'
workflow_dispatch: # Manual trigger
push:
branches: [main]
paths:
- 'scripts/build_skills_index.py'
- '.github/workflows/skills-index.yml'
permissions:
contents: read
jobs:
build-index:
# Only run on the upstream repository, not on forks
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: '3.11'
- name: Install dependencies
run: pip install httpx==0.28.1 pyyaml==6.0.2
- name: Build skills index
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: python scripts/build_skills_index.py
- name: Upload index artifact
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
with:
name: skills-index
path: website/static/api/skills-index.json
retention-days: 7
deploy-with-index:
needs: build-index
runs-on: ubuntu-latest
permissions:
pages: write
id-token: write
environment:
name: github-pages
url: ${{ steps.deploy.outputs.page_url }}
# Only deploy on schedule or manual trigger (not on every push to the script)
if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
with:
name: skills-index
path: website/static/api/
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 20
cache: npm
cache-dependency-path: website/package-lock.json
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: '3.11'
- name: Install PyYAML for skill extraction
run: pip install pyyaml==6.0.2
- name: Extract skill metadata for dashboard
run: python3 website/scripts/extract-skills.py
- name: Install dependencies
run: npm ci
working-directory: website
- name: Build Docusaurus
run: npm run build
working-directory: website
- name: Stage deployment
run: |
mkdir -p _site/docs
cp -r landingpage/* _site/
cp -r website/build/* _site/docs/
echo "hermes-agent.nousresearch.com" > _site/CNAME
- name: Upload artifact
uses: actions/upload-pages-artifact@56afc609e74202658d3ffba0e8f6dda462b719fa # v3
with:
path: _site
- name: Deploy to GitHub Pages
id: deploy
uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e # v4

View File

@@ -3,39 +3,22 @@ name: Supply Chain Audit
on:
pull_request:
types: [opened, synchronize, reopened]
paths:
- '**/*.py'
- '**/*.pth'
- '**/setup.py'
- '**/setup.cfg'
- '**/sitecustomize.py'
- '**/usercustomize.py'
- '**/__init__.pth'
permissions:
pull-requests: write
contents: read
# Narrow, high-signal scanner. Only fires on critical indicators of supply
# chain attacks (e.g. the litellm-style payloads). Low-signal heuristics
# (plain base64, plain exec/eval, dependency/Dockerfile/workflow edits,
# Actions version unpinning, outbound POST/PUT) were intentionally
# removed — they fired on nearly every PR and trained reviewers to ignore
# the scanner. Keep this file's checks ruthlessly narrow: if you find
# yourself adding WARNING-tier patterns here again, make a separate
# advisory-only workflow instead.
jobs:
scan:
name: Scan PR for critical supply chain risks
name: Scan PR for supply chain risks
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Scan diff for critical patterns
- name: Scan diff for suspicious patterns
id: scan
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
@@ -45,19 +28,19 @@ jobs:
BASE="${{ github.event.pull_request.base.sha }}"
HEAD="${{ github.event.pull_request.head.sha }}"
# Added lines only, excluding lockfiles.
# Get the full diff (added lines only)
DIFF=$(git diff "$BASE".."$HEAD" -- . ':!uv.lock' ':!*.lock' ':!package-lock.json' ':!yarn.lock' || true)
FINDINGS=""
CRITICAL=false
# --- .pth files (auto-execute on Python startup) ---
# The exact mechanism used in the litellm supply chain attack:
# https://github.com/BerriAI/litellm/issues/24512
PTH_FILES=$(git diff --name-only "$BASE".."$HEAD" | grep '\.pth$' || true)
if [ -n "$PTH_FILES" ]; then
CRITICAL=true
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: .pth file added or modified
Python \`.pth\` files in \`site-packages/\` execute automatically when the interpreter starts — no import required.
Python \`.pth\` files in \`site-packages/\` execute automatically when the interpreter starts — no import required. This is the exact mechanism used in the [litellm supply chain attack](https://github.com/BerriAI/litellm/issues/24512).
**Files:**
\`\`\`
@@ -66,12 +49,13 @@ jobs:
"
fi
# --- base64 decode + exec/eval on the same line (the litellm attack pattern) ---
# --- base64 + exec/eval combo (the litellm attack pattern) ---
B64_EXEC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'base64\.(b64decode|decodebytes|urlsafe_b64decode)' | grep -iE 'exec\(|eval\(' | head -10 || true)
if [ -n "$B64_EXEC_HITS" ]; then
CRITICAL=true
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: base64 decode + exec/eval combo
Base64-decoded strings passed directly to exec/eval — the signature of hidden credential-stealing payloads.
This is the exact pattern used in the [litellm supply chain attack](https://github.com/BerriAI/litellm/issues/24512) — base64-decoded strings passed to exec/eval to hide credential-stealing payloads.
**Matches:**
\`\`\`
@@ -80,12 +64,41 @@ jobs:
"
fi
# --- subprocess with encoded/obfuscated command argument ---
PROC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -E 'subprocess\.(Popen|call|run)\s*\(' | grep -iE 'base64|\\x[0-9a-f]{2}|chr\(' | head -10 || true)
# --- base64 decode/encode (alone — legitimate uses exist) ---
B64_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'base64\.(b64decode|b64encode|decodebytes|encodebytes|urlsafe_b64decode)|atob\(|btoa\(|Buffer\.from\(.*base64' | head -20 || true)
if [ -n "$B64_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: base64 encoding/decoding detected
Base64 has legitimate uses (images, JWT, etc.) but is also commonly used to obfuscate malicious payloads. Verify the usage is appropriate.
**Matches (first 20):**
\`\`\`
${B64_HITS}
\`\`\`
"
fi
# --- exec/eval with string arguments ---
EXEC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -E '(exec|eval)\s*\(' | grep -v '^\+\s*#' | grep -v 'test_\|mock\|assert\|# ' | head -20 || true)
if [ -n "$EXEC_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: exec() or eval() usage
Dynamic code execution can hide malicious behavior, especially when combined with base64 or network fetches.
**Matches (first 20):**
\`\`\`
${EXEC_HITS}
\`\`\`
"
fi
# --- subprocess with encoded/obfuscated commands ---
PROC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -E 'subprocess\.(Popen|call|run)\s*\(' | grep -iE 'base64|decode|encode|\\x|chr\(' | head -10 || true)
if [ -n "$PROC_HITS" ]; then
CRITICAL=true
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: subprocess with encoded/obfuscated command
Subprocess calls whose command strings are base64- or hex-encoded are a strong indicator of payload execution.
Subprocess calls with encoded arguments are a strong indicator of payload execution.
**Matches:**
\`\`\`
@@ -94,12 +107,25 @@ jobs:
"
fi
# --- Install-hook files (setup.py/sitecustomize/usercustomize/__init__.pth) ---
# These execute during pip install or interpreter startup.
SETUP_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '(^|/)(setup\.py|setup\.cfg|sitecustomize\.py|usercustomize\.py|__init__\.pth)$' || true)
# --- Network calls to non-standard domains ---
EXFIL_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'requests\.(post|put)\(|httpx\.(post|put)\(|urllib\.request\.urlopen' | grep -v '^\+\s*#' | grep -v 'test_\|mock\|assert' | head -10 || true)
if [ -n "$EXFIL_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: Outbound network calls (POST/PUT)
Outbound POST/PUT requests in new code could be data exfiltration. Verify the destination URLs are legitimate.
**Matches (first 10):**
\`\`\`
${EXFIL_HITS}
\`\`\`
"
fi
# --- setup.py / setup.cfg install hooks ---
SETUP_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '(setup\.py|setup\.cfg|__init__\.pth|sitecustomize\.py|usercustomize\.py)$' || true)
if [ -n "$SETUP_HITS" ]; then
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: Install-hook file added or modified
### ⚠️ WARNING: Install hook files modified
These files can execute code during package installation or interpreter startup.
**Files:**
@@ -109,31 +135,58 @@ jobs:
"
fi
# --- Compile/marshal/pickle (code object injection) ---
MARSHAL_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'marshal\.loads|pickle\.loads|compile\(' | grep -v '^\+\s*#' | grep -v 'test_\|re\.compile\|ast\.compile' | head -10 || true)
if [ -n "$MARSHAL_HITS" ]; then
FINDINGS="${FINDINGS}
### ⚠️ WARNING: marshal/pickle/compile usage
These can deserialize or construct executable code objects.
**Matches:**
\`\`\`
${MARSHAL_HITS}
\`\`\`
"
fi
# --- Output results ---
if [ -n "$FINDINGS" ]; then
echo "found=true" >> "$GITHUB_OUTPUT"
if [ "$CRITICAL" = true ]; then
echo "critical=true" >> "$GITHUB_OUTPUT"
else
echo "critical=false" >> "$GITHUB_OUTPUT"
fi
# Write findings to a file (multiline env vars are fragile)
echo "$FINDINGS" > /tmp/findings.md
else
echo "found=false" >> "$GITHUB_OUTPUT"
echo "critical=false" >> "$GITHUB_OUTPUT"
fi
- name: Post critical finding comment
- name: Post warning comment
if: steps.scan.outputs.found == 'true'
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
BODY="## 🚨 CRITICAL Supply Chain Risk Detected
SEVERITY="⚠️ Supply Chain Risk Detected"
if [ "${{ steps.scan.outputs.critical }}" = "true" ]; then
SEVERITY="🚨 CRITICAL Supply Chain Risk Detected"
fi
This PR contains a pattern that has been used in real supply chain attacks. A maintainer must review the flagged code carefully before merging.
BODY="## ${SEVERITY}
This PR contains patterns commonly associated with supply chain attacks. This does **not** mean the PR is malicious — but these patterns require careful human review before merging.
$(cat /tmp/findings.md)
---
*Scanner only fires on high-signal indicators: .pth files, base64+exec/eval combos, subprocess with encoded commands, or install-hook files. Low-signal warnings were removed intentionally — if you're seeing this comment, the finding is worth inspecting.*"
*Automated scan triggered by [supply-chain-audit](/.github/workflows/supply-chain-audit.yml). If this is a false positive, a maintainer can approve after manual review.*"
gh pr comment "${{ github.event.pull_request.number }}" --body "$BODY" || echo "::warning::Could not post PR comment (expected for fork PRs — GITHUB_TOKEN is read-only)"
gh pr comment "${{ github.event.pull_request.number }}" --body "$BODY"
- name: Fail on critical findings
if: steps.scan.outputs.found == 'true'
if: steps.scan.outputs.critical == 'true'
run: |
echo "::error::CRITICAL supply chain risk patterns detected in this PR. See the PR comment for details."
exit 1

View File

@@ -3,17 +3,8 @@ name: Tests
on:
push:
branches: [main]
paths-ignore:
- '**/*.md'
- 'docs/**'
pull_request:
branches: [main]
paths-ignore:
- '**/*.md'
- 'docs/**'
permissions:
contents: read
# Cancel in-progress runs for the same PR/branch
concurrency:
@@ -23,16 +14,13 @@ concurrency:
jobs:
test:
runs-on: ubuntu-latest
timeout-minutes: 20
timeout-minutes: 10
steps:
- name: Checkout code
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- name: Install system dependencies
run: sudo apt-get update && sudo apt-get install -y ripgrep
uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
uses: astral-sh/setup-uv@v5
- name: Set up Python 3.11
run: uv python install 3.11
@@ -46,37 +34,9 @@ jobs:
- name: Run tests
run: |
source .venv/bin/activate
python -m pytest tests/ -q --ignore=tests/integration --ignore=tests/e2e --tb=short -n auto
python -m pytest tests/ -q --ignore=tests/integration --tb=short -n auto
env:
# Ensure tests don't accidentally call real APIs
OPENROUTER_API_KEY: ""
OPENAI_API_KEY: ""
NOUS_API_KEY: ""
e2e:
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- name: Checkout code
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- name: Install uv
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
- name: Set up Python 3.11
run: uv python install 3.11
- name: Install dependencies
run: |
uv venv .venv --python 3.11
source .venv/bin/activate
uv pip install -e ".[all,dev]"
- name: Run e2e tests
run: |
source .venv/bin/activate
python -m pytest tests/e2e/ -v --tb=short
env:
OPENROUTER_API_KEY: ""
OPENAI_API_KEY: ""
NOUS_API_KEY: ""

10
.gitignore vendored
View File

@@ -51,20 +51,10 @@ ignored/
.worktrees/
environments/benchmarks/evals/
# Web UI build output
hermes_cli/web_dist/
# Web UI assets — synced from @nous-research/ui at build time via
# `npm run sync-assets` (see web/package.json).
web/public/fonts/
web/public/ds-assets/
# Release script temp files
.release_notes.md
mini-swe-agent/
# Nix
.direnv/
.nix-stamps/
result
website/static/api/skills-index.json

108
.mailmap
View File

@@ -1,108 +0,0 @@
# .mailmap — canonical author mapping for git shortlog / git log / GitHub
# Format: Canonical Name <canonical@email> <commit@email>
# See: https://git-scm.com/docs/gitmailmap
#
# This maps commit emails to GitHub noreply addresses so that:
# 1. `git shortlog -sn` shows deduplicated contributor counts
# 2. GitHub's contributor graph can attribute commits correctly
# 3. Contributors with personal/work emails get proper credit
#
# When adding entries: use the contributor's GitHub noreply email as canonical
# so GitHub can link commits to their profile.
# === Teknium (multiple emails) ===
Teknium <127238744+teknium1@users.noreply.github.com> <teknium1@gmail.com>
Teknium <127238744+teknium1@users.noreply.github.com> <teknium@nousresearch.com>
# === Contributors — personal/work emails mapped to GitHub noreply ===
# Format: Canonical Name <GH-noreply> <commit-email>
# Verified via GH API email search
luyao618 <364939526@qq.com> <364939526@qq.com>
ethernet8023 <arilotter@gmail.com> <arilotter@gmail.com>
nicoloboschi <boschi1997@gmail.com> <boschi1997@gmail.com>
cherifya <chef.ya@gmail.com> <chef.ya@gmail.com>
BongSuCHOI <chlqhdtn98@gmail.com> <chlqhdtn98@gmail.com>
dsocolobsky <dsocolobsky@gmail.com> <dsocolobsky@gmail.com>
pefontana <fontana.pedro93@gmail.com> <fontana.pedro93@gmail.com>
Helmi <frank@helmschrott.de> <frank@helmschrott.de>
hata1234 <hata1234@gmail.com> <hata1234@gmail.com>
# Verified via PR investigation / salvage PR bodies
DeployFaith <agents@kylefrench.dev> <agents@kylefrench.dev>
flobo3 <floptopbot33@gmail.com> <floptopbot33@gmail.com>
gaixianggeng <gaixg94@gmail.com> <gaixg94@gmail.com>
KUSH42 <xush@xush.org> <xush@xush.org>
konsisumer <der@konsi.org> <der@konsi.org>
WorldInnovationsDepartment <vorvul.danylo@gmail.com> <vorvul.danylo@gmail.com>
m0n5t3r <iacobs@m0n5t3r.info> <iacobs@m0n5t3r.info>
sprmn24 <oncuevtv@gmail.com> <oncuevtv@gmail.com>
fancydirty <fancydirty@gmail.com> <fancydirty@gmail.com>
fxfitz <francis.x.fitzpatrick@gmail.com> <francis.x.fitzpatrick@gmail.com>
limars874 <limars874@gmail.com> <limars874@gmail.com>
AaronWong1999 <aaronwong1999@icloud.com> <aaronwong1999@icloud.com>
dippwho <dipp.who@gmail.com> <dipp.who@gmail.com>
duerzy <duerzy@gmail.com> <duerzy@gmail.com>
geoffwellman <geoff.wellman@gmail.com> <geoff.wellman@gmail.com>
hcshen0111 <shenhaocheng19990111@gmail.com> <shenhaocheng19990111@gmail.com>
jamesarch <han.shan@live.cn> <han.shan@live.cn>
stephenschoettler <stephenschoettler@gmail.com> <stephenschoettler@gmail.com>
Tranquil-Flow <tranquil_flow@protonmail.com> <tranquil_flow@protonmail.com>
Dusk1e <yusufalweshdemir@gmail.com> <yusufalweshdemir@gmail.com>
Awsh1 <ysfalweshcan@gmail.com> <ysfalweshcan@gmail.com>
WAXLYY <ysfwaxlycan@gmail.com> <ysfwaxlycan@gmail.com>
donrhmexe <don.rhm@gmail.com> <don.rhm@gmail.com>
hqhq1025 <1506751656@qq.com> <1506751656@qq.com>
BlackishGreen33 <s5460703@gmail.com> <s5460703@gmail.com>
tomqiaozc <zqiao@microsoft.com> <zqiao@microsoft.com>
MagicRay1217 <mingjwan@microsoft.com> <mingjwan@microsoft.com>
aaronagent <1115117931@qq.com> <1115117931@qq.com>
YoungYang963 <young@YoungdeMacBook-Pro.local> <young@YoungdeMacBook-Pro.local>
LongOddCode <haolong@microsoft.com> <haolong@microsoft.com>
Cafexss <coffeemjj@gmail.com> <coffeemjj@gmail.com>
Cygra <sjtuwbh@gmail.com> <sjtuwbh@gmail.com>
DomGrieco <dgrieco@redhat.com> <dgrieco@redhat.com>
# Duplicate email mapping (same person, multiple emails)
Sertug17 <104278804+Sertug17@users.noreply.github.com> <srhtsrht17@gmail.com>
yyovil <birdiegyal@gmail.com> <tanishq231003@gmail.com>
DomGrieco <dgrieco@redhat.com> <dgrieco@redhat.com>
dsocolobsky <dsocolobsky@gmail.com> <dylan.socolobsky@lambdaclass.com>
olafthiele <programming@olafthiele.com> <olafthiele@gmail.com>
# Verified via git display name matching GH contributor username
cokemine <aptx4561@gmail.com> <aptx4561@gmail.com>
dalianmao000 <dalianmao0107@gmail.com> <dalianmao0107@gmail.com>
emozilla <emozilla@nousresearch.com> <emozilla@nousresearch.com>
jjovalle99 <juan.ovalle@mistral.ai> <juan.ovalle@mistral.ai>
kagura-agent <kagura.chen28@gmail.com> <kagura.chen28@gmail.com>
spniyant <niyant@spicefi.xyz> <niyant@spicefi.xyz>
olafthiele <programming@olafthiele.com> <programming@olafthiele.com>
r266-tech <r2668940489@gmail.com> <r2668940489@gmail.com>
xingkongliang <tianliangjay@gmail.com> <tianliangjay@gmail.com>
win4r <win4r@outlook.com> <win4r@outlook.com>
zhouboli <zhouboli@gmail.com> <zhouboli@gmail.com>
yongtenglei <yongtenglei@gmail.com> <yongtenglei@gmail.com>
# Nous Research team
benbarclay <ben@nousresearch.com> <ben@nousresearch.com>
jquesnelle <jonny@nousresearch.com> <jonny@nousresearch.com>
# GH contributor list verified
spideystreet <dhicham.pro@gmail.com> <dhicham.pro@gmail.com>
dorukardahan <dorukardahan@hotmail.com> <dorukardahan@hotmail.com>
MustafaKara7 <karamusti912@gmail.com> <karamusti912@gmail.com>
Hmbown <hmbown@gmail.com> <hmbown@gmail.com>
kamil-gwozdz <kamil@gwozdz.me> <kamil@gwozdz.me>
kira-ariaki <kira@ariaki.me> <kira@ariaki.me>
knopki <knopki@duck.com> <knopki@duck.com>
Unayung <unayung@gmail.com> <unayung@gmail.com>
SeeYangZhi <yangzhi.see@gmail.com> <yangzhi.see@gmail.com>
Julientalbot <julien.talbot@ergonomia.re> <julien.talbot@ergonomia.re>
lesterli <lisicheng168@gmail.com> <lisicheng168@gmail.com>
JiayuuWang <jiayuw794@gmail.com> <jiayuw794@gmail.com>
tesseracttars-creator <tesseracttars@gmail.com> <tesseracttars@gmail.com>
xinbenlv <zzn+pa@zzn.im> <zzn+pa@zzn.im>
SaulJWu <saul.jj.wu@gmail.com> <saul.jj.wu@gmail.com>
angelos <angelos@oikos.lan.home.malaiwah.com> <angelos@oikos.lan.home.malaiwah.com>
MestreY0d4-Uninter <241404605+MestreY0d4-Uninter@users.noreply.github.com> <MestreY0d4-Uninter@users.noreply.github.com>

357
AGENTS.md
View File

@@ -12,59 +12,55 @@ source venv/bin/activate # ALWAYS activate before running Python
```
hermes-agent/
├── hermes_agent/ # Single installable package
│ ├── agent/ # Core conversation loop and agent internals
│ │ ├── loop.py # AIAgent class — core conversation loop
│ │ ├── prompt_builder.py # System prompt assembly
│ │ ├── context/ # Context management (engine, compressor, references)
│ │ ├── memory/ # Memory management (manager, provider)
│ ├── image_gen/ # Image generation (provider, registry)
│ ├── display.py # KawaiiSpinner, tool preview formatting
│ ├── skill_commands.py # Skill slash commands (shared CLI/gateway)
│ └── trajectory.py # Trajectory saving helpers
│ ├── providers/ # LLM provider adapters and transports
│ ├── anthropic_adapter.py # Anthropic adapter
│ ├── anthropic_transport.py # Anthropic transport
│ ├── metadata.py # Model context lengths, token estimation
│ ├── auxiliary.py # Auxiliary LLM client (vision, summarization)
│ │ ├── caching.py # Anthropic prompt caching
│ └── credential_pool.py # Credential management
│ ├── tools/ # Tool implementations
│ ├── dispatch.py # Tool orchestration, discover_builtin_tools()
│ ├── toolsets.py # Toolset definitions
│ ├── registry.py # Central tool registry
│ ├── terminal.py # Terminal orchestration
│ ├── browser/ # Browser tools (tool, cdp, camofox, providers/)
│ ├── mcp/ # MCP client and server
│ ├── skills/ # Skill management (manager, tool, hub, guard, sync)
│ ├── media/ # Voice, TTS, transcription, image gen
│ ├── files/ # File operations (tools, operations, state)
│ └── security/ # Path security, URL safety, approval
│ ├── backends/ # Terminal backends (local, docker, ssh, modal, daytona, singularity)
│ ├── cli/ # CLI subcommands and setup
│ ├── main.py # Entry point — all `hermes` subcommands
│ ├── repl.py # HermesCLI class — interactive CLI orchestrator
│ ├── config.py # DEFAULT_CONFIG, OPTIONAL_ENV_VARS, migration
│ ├── commands.py # Slash command definitions
│ ├── auth/ # Provider credential resolution
│ ├── models/ # Model catalog, provider lists, switching
│ └── ui/ # Banner, colors, skin engine, callbacks, tips
│ ├── gateway/ # Messaging platform gateway
│ ├── run.py # Main loop, slash commands, message dispatch
│ ├── session.py # SessionStore — conversation persistence
│ │ └── platforms/ # Adapters: telegram, discord, slack, whatsapp, etc.
│ ├── acp/ # ACP server (VS Code / Zed / JetBrains integration)
│ ├── cron/ # Scheduler (jobs.py, scheduler.py)
── plugins/ # Plugin system (memory providers, context engines)
│ ├── constants.py # Shared constants
│ ├── state.py # SessionDB — SQLite session store
│ ├── logging.py # Logging configuration
│ └── utils.py # Shared utilities
├── tui_gateway/ # Python JSON-RPC backend for the TUI
├── ui-tui/ # Ink (React) terminal UI — `hermes --tui`
├── run_agent.py # AIAgent class — core conversation loop
├── model_tools.py # Tool orchestration, _discover_tools(), handle_function_call()
├── toolsets.py # Toolset definitions, _HERMES_CORE_TOOLS list
├── cli.py # HermesCLI class — interactive CLI orchestrator
├── hermes_state.py # SessionDB — SQLite session store (FTS5 search)
├── agent/ # Agent internals
│ ├── prompt_builder.py # System prompt assembly
│ ├── context_compressor.py # Auto context compression
│ ├── prompt_caching.py # Anthropic prompt caching
├── auxiliary_client.py # Auxiliary LLM client (vision, summarization)
│ ├── model_metadata.py # Model context lengths, token estimation
│ ├── models_dev.py # models.dev registry integration (provider-aware context)
│ ├── display.py # KawaiiSpinner, tool preview formatting
│ ├── skill_commands.py # Skill slash commands (shared CLI/gateway)
└── trajectory.py # Trajectory saving helpers
├── hermes_cli/ # CLI subcommands and setup
├── main.py # Entry point — all `hermes` subcommands
│ ├── config.py # DEFAULT_CONFIG, OPTIONAL_ENV_VARS, migration
│ ├── commands.py # Slash command definitions + SlashCommandCompleter
│ ├── callbacks.py # Terminal callbacks (clarify, sudo, approval)
│ ├── setup.py # Interactive setup wizard
│ ├── skin_engine.py # Skin/theme engine — CLI visual customization
│ ├── skills_config.py # `hermes skills` — enable/disable skills per platform
│ ├── tools_config.py # `hermes tools` — enable/disable tools per platform
│ ├── skills_hub.py # `/skills` slash command (search, browse, install)
│ ├── models.py # Model catalog, provider model lists
│ ├── model_switch.py # Shared /model switch pipeline (CLI + gateway)
│ └── auth.py # Provider credential resolution
├── tools/ # Tool implementations (one file per tool)
│ ├── registry.py # Central tool registry (schemas, handlers, dispatch)
│ ├── approval.py # Dangerous command detection
│ ├── terminal_tool.py # Terminal orchestration
│ ├── process_registry.py # Background process management
│ ├── file_tools.py # File read/write/search/patch
│ ├── web_tools.py # Web search/extract (Parallel + Firecrawl)
│ ├── browser_tool.py # Browserbase browser automation
├── code_execution_tool.py # execute_code sandbox
│ ├── delegate_tool.py # Subagent delegation
│ ├── mcp_tool.py # MCP client (~1050 lines)
└── environments/ # Terminal backends (local, docker, ssh, modal, daytona, singularity)
├── gateway/ # Messaging platform gateway
│ ├── run.py # Main loop, slash commands, message dispatch
│ ├── session.py # SessionStore — conversation persistence
── platforms/ # Adapters: telegram, discord, slack, whatsapp, homeassistant, signal
├── acp_adapter/ # ACP server (VS Code / Zed / JetBrains integration)
├── cron/ # Scheduler (jobs.py, scheduler.py)
├── environments/ # RL training environments (Atropos)
├── tests/ # Pytest suite
└── web/ # Vite + React web dashboard
├── tests/ # Pytest suite (~3000 tests)
└── batch_runner.py # Parallel batch processing
```
**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys)
@@ -72,18 +68,18 @@ hermes-agent/
## File Dependency Chain
```
hermes_agent/tools/registry.py (no deps — imported by all tool files)
tools/registry.py (no deps — imported by all tool files)
hermes_agent/tools/*.py (each calls registry.register() at import time)
tools/*.py (each calls registry.register() at import time)
hermes_agent/tools/dispatch.py (imports registry + triggers tool discovery)
model_tools.py (imports tools/registry + triggers tool discovery)
hermes_agent/agent/loop.py, hermes_agent/cli/repl.py, environments/
run_agent.py, cli.py, batch_runner.py, environments/
```
---
## AIAgent Class (hermes_agent/agent/loop.py)
## AIAgent Class (run_agent.py)
```python
class AIAgent:
@@ -129,14 +125,14 @@ Messages follow OpenAI format: `{"role": "system/user/assistant/tool", ...}`. Re
---
## CLI Architecture (hermes_agent/cli/repl.py)
## CLI Architecture (cli.py)
- **Rich** for banner/panels, **prompt_toolkit** for input with autocomplete
- **KawaiiSpinner** (`hermes_agent/agent/display.py`) — animated faces during API calls, `┊` activity feed for tool results
- `load_cli_config()` in repl.py merges hardcoded defaults + user config YAML
- **Skin engine** (`hermes_agent/cli/ui/skin_engine.py`) — data-driven CLI theming; initialized from `display.skin` config key at startup; skins customize banner colors, spinner faces/verbs/wings, tool prefix, response box, branding text
- **KawaiiSpinner** (`agent/display.py`) — animated faces during API calls, `┊` activity feed for tool results
- `load_cli_config()` in cli.py merges hardcoded defaults + user config YAML
- **Skin engine** (`hermes_cli/skin_engine.py`) — data-driven CLI theming; initialized from `display.skin` config key at startup; skins customize banner colors, spinner faces/verbs/wings, tool prefix, response box, branding text
- `process_command()` is a method on `HermesCLI` — dispatches on canonical command name resolved via `resolve_command()` from the central registry
- Skill slash commands: `hermes_agent/agent/skill_commands.py` scans `~/.hermes/skills/`, injects as **user message** (not system prompt) to preserve prompt caching
- Skill slash commands: `agent/skill_commands.py` scans `~/.hermes/skills/`, injects as **user message** (not system prompt) to preserve prompt caching
### Slash Command Registry (`hermes_cli/commands.py`)
@@ -183,62 +179,9 @@ if canonical == "mycommand":
---
## TUI Architecture (ui-tui + tui_gateway)
The TUI is a full replacement for the classic (prompt_toolkit) CLI, activated via `hermes --tui` or `HERMES_TUI=1`.
### Process Model
```
hermes --tui
└─ Node (Ink) ──stdio JSON-RPC── Python (tui_gateway)
│ └─ AIAgent + tools + sessions
└─ renders transcript, composer, prompts, activity
```
TypeScript owns the screen. Python owns sessions, tools, model calls, and slash command logic.
### Transport
Newline-delimited JSON-RPC over stdio. Requests from Ink, events from Python. See `tui_gateway/server.py` for the full method/event catalog.
### Key Surfaces
| Surface | Ink component | Gateway method |
|---------|---------------|----------------|
| Chat streaming | `app.tsx` + `messageLine.tsx` | `prompt.submit``message.delta/complete` |
| Tool activity | `thinking.tsx` | `tool.start/progress/complete` |
| Approvals | `prompts.tsx` | `approval.respond``approval.request` |
| Clarify/sudo/secret | `prompts.tsx`, `maskedPrompt.tsx` | `clarify/sudo/secret.respond` |
| Session picker | `sessionPicker.tsx` | `session.list/resume` |
| Slash commands | Local handler + fallthrough | `slash.exec``_SlashWorker`, `command.dispatch` |
| Completions | `useCompletion` hook | `complete.slash`, `complete.path` |
| Theming | `theme.ts` + `branding.tsx` | `gateway.ready` with skin data |
### Slash Command Flow
1. Built-in client commands (`/help`, `/quit`, `/clear`, `/resume`, `/copy`, `/paste`, etc.) handled locally in `app.tsx`
2. Everything else → `slash.exec` (runs in persistent `_SlashWorker` subprocess) → `command.dispatch` fallback
### Dev Commands
```bash
cd ui-tui
npm install # first time
npm run dev # watch mode (rebuilds hermes-ink + tsx --watch)
npm start # production
npm run build # full build (hermes-ink + tsc)
npm run type-check # typecheck only (tsc --noEmit)
npm run lint # eslint
npm run fmt # prettier
npm test # vitest
```
---
## Adding New Tools
Requires changes in **2 files**:
Requires changes in **3 files**:
**1. Create `tools/your_tool.py`:**
```python
@@ -261,16 +204,12 @@ registry.register(
)
```
**2. Add to `toolsets.py`** — either `_HERMES_CORE_TOOLS` (all platforms) or a new toolset.
**2. Add import** in `model_tools.py` `_discover_tools()` list.
Auto-discovery: any `hermes_agent/tools/*.py` file with a top-level `registry.register()` call is imported automatically — no manual import list to maintain.
**3. Add to `toolsets.py`** — either `_HERMES_CORE_TOOLS` (all platforms) or a new toolset.
The registry handles schema collection, dispatch, availability checking, and error wrapping. All handlers MUST return a JSON string.
**Path references in tool schemas**: If the schema description mentions file paths (e.g. default output directories), use `display_hermes_home()` to make them profile-aware. The schema is generated at import time, which is after `_apply_profile_override()` sets `HERMES_HOME`.
**State files**: If a tool stores persistent state (caches, logs, checkpoints), use `get_hermes_home()` for the base directory — never `Path.home() / ".hermes"`. This ensures each profile gets its own state.
**Agent-level tools** (todo, memory): intercepted by `run_agent.py` before `handle_function_call()`. See `todo_tool.py` for the pattern.
---
@@ -408,9 +347,8 @@ Cache-breaking forces dramatically higher costs. The ONLY time we alter context
### Background Process Notifications (Gateway)
When `terminal(background=true, notify_on_complete=true)` is used, the gateway runs a watcher that
detects process completion and triggers a new agent turn. Control verbosity of background process
messages with `display.background_process_notifications`
When `terminal(background=true, check_interval=...)` is used, the gateway runs a watcher that
pushes status updates to the user's chat. Control verbosity with `display.background_process_notifications`
in config.yaml (or `HERMES_BACKGROUND_NOTIFICATIONS` env var):
- `all` — running-output updates + final message (default)
@@ -420,189 +358,34 @@ in config.yaml (or `HERMES_BACKGROUND_NOTIFICATIONS` env var):
---
## Profiles: Multi-Instance Support
Hermes supports **profiles** — multiple fully isolated instances, each with its own
`HERMES_HOME` directory (config, API keys, memory, sessions, skills, gateway, etc.).
The core mechanism: `_apply_profile_override()` in `hermes_cli/main.py` sets
`HERMES_HOME` before any module imports. All 119+ references to `get_hermes_home()`
automatically scope to the active profile.
### Rules for profile-safe code
1. **Use `get_hermes_home()` for all HERMES_HOME paths.** Import from `hermes_constants`.
NEVER hardcode `~/.hermes` or `Path.home() / ".hermes"` in code that reads/writes state.
```python
# GOOD
from hermes_constants import get_hermes_home
config_path = get_hermes_home() / "config.yaml"
# BAD — breaks profiles
config_path = Path.home() / ".hermes" / "config.yaml"
```
2. **Use `display_hermes_home()` for user-facing messages.** Import from `hermes_constants`.
This returns `~/.hermes` for default or `~/.hermes/profiles/<name>` for profiles.
```python
# GOOD
from hermes_constants import display_hermes_home
print(f"Config saved to {display_hermes_home()}/config.yaml")
# BAD — shows wrong path for profiles
print("Config saved to ~/.hermes/config.yaml")
```
3. **Module-level constants are fine** — they cache `get_hermes_home()` at import time,
which is AFTER `_apply_profile_override()` sets the env var. Just use `get_hermes_home()`,
not `Path.home() / ".hermes"`.
4. **Tests that mock `Path.home()` must also set `HERMES_HOME`** — since code now uses
`get_hermes_home()` (reads env var), not `Path.home() / ".hermes"`:
```python
with patch.object(Path, "home", return_value=tmp_path), \
patch.dict(os.environ, {"HERMES_HOME": str(tmp_path / ".hermes")}):
...
```
5. **Gateway platform adapters should use token locks** — if the adapter connects with
a unique credential (bot token, API key), call `acquire_scoped_lock()` from
`gateway.status` in the `connect()`/`start()` method and `release_scoped_lock()` in
`disconnect()`/`stop()`. This prevents two profiles from using the same credential.
See `gateway/platforms/telegram.py` for the canonical pattern.
6. **Profile operations are HOME-anchored, not HERMES_HOME-anchored** — `_get_profiles_root()`
returns `Path.home() / ".hermes" / "profiles"`, NOT `get_hermes_home() / "profiles"`.
This is intentional — it lets `hermes -p coder profile list` see all profiles regardless
of which one is active.
## Known Pitfalls
### DO NOT hardcode `~/.hermes` paths
Use `get_hermes_home()` from `hermes_constants` for code paths. Use `display_hermes_home()`
for user-facing print/log messages. Hardcoding `~/.hermes` breaks profiles — each profile
has its own `HERMES_HOME` directory. This was the source of 5 bugs fixed in PR #3575.
### DO NOT use `simple_term_menu` for interactive menus
Rendering bugs in tmux/iTerm2 — ghosting on scroll. Use `curses` (stdlib) instead. See `hermes_cli/tools_config.py` for the pattern.
### DO NOT use `\033[K` (ANSI erase-to-EOL) in spinner/display code
Leaks as literal `?[K` text under `prompt_toolkit`'s `patch_stdout`. Use space-padding: `f"\r{line}{' ' * pad}"`.
### `_last_resolved_tool_names` is a process-global in `hermes_agent/tools/dispatch.py`
### `_last_resolved_tool_names` is a process-global in `model_tools.py`
`_run_single_child()` in `delegate_tool.py` saves and restores this global around subagent execution. If you add new code that reads this global, be aware it may be temporarily stale during child agent runs.
### DO NOT hardcode cross-tool references in schema descriptions
Tool schema descriptions must not mention tools from other toolsets by name (e.g., `browser_navigate` saying "prefer web_search"). Those tools may be unavailable (missing API keys, disabled toolset), causing the model to hallucinate calls to non-existent tools. If a cross-reference is needed, add it dynamically in `get_tool_definitions()` in `hermes_agent/tools/dispatch.py` — see the `browser_navigate` / `execute_code` post-processing blocks for the pattern.
Tool schema descriptions must not mention tools from other toolsets by name (e.g., `browser_navigate` saying "prefer web_search"). Those tools may be unavailable (missing API keys, disabled toolset), causing the model to hallucinate calls to non-existent tools. If a cross-reference is needed, add it dynamically in `get_tool_definitions()` in `model_tools.py` — see the `browser_navigate` / `execute_code` post-processing blocks for the pattern.
### Tests must not write to `~/.hermes/`
The `_isolate_hermes_home` autouse fixture in `tests/conftest.py` redirects `HERMES_HOME` to a temp dir. Never hardcode `~/.hermes/` paths in tests.
**Profile tests**: When testing profile features, also mock `Path.home()` so that
`_get_profiles_root()` and `_get_default_hermes_home()` resolve within the temp dir.
Use the pattern from `tests/hermes_cli/test_profiles.py`:
```python
@pytest.fixture
def profile_env(tmp_path, monkeypatch):
home = tmp_path / ".hermes"
home.mkdir()
monkeypatch.setattr(Path, "home", lambda: tmp_path)
monkeypatch.setenv("HERMES_HOME", str(home))
return home
```
---
## Testing
**ALWAYS use `scripts/run_tests.sh`** — do not call `pytest` directly. The script enforces
hermetic environment parity with CI (unset credential vars, TZ=UTC, LANG=C.UTF-8,
4 xdist workers matching GHA ubuntu-latest). Direct `pytest` on a 16+ core
developer machine with API keys set diverges from CI in ways that have caused
multiple "works locally, fails in CI" incidents (and the reverse).
```bash
scripts/run_tests.sh # full suite, CI-parity
scripts/run_tests.sh tests/gateway/ # one directory
scripts/run_tests.sh tests/agent/test_foo.py::test_x # one test
scripts/run_tests.sh -v --tb=long # pass-through pytest flags
```
### Why the wrapper (and why the old "just call pytest" doesn't work)
Five real sources of local-vs-CI drift the script closes:
| | Without wrapper | With wrapper |
|---|---|---|
| Provider API keys | Whatever is in your env (auto-detects pool) | All `*_API_KEY`/`*_TOKEN`/etc. unset |
| HOME / `~/.hermes/` | Your real config+auth.json | Temp dir per test |
| Timezone | Local TZ (PDT etc.) | UTC |
| Locale | Whatever is set | C.UTF-8 |
| xdist workers | `-n auto` = all cores (20+ on a workstation) | `-n 4` matching CI |
`tests/conftest.py` also enforces points 1-4 as an autouse fixture so ANY pytest
invocation (including IDE integrations) gets hermetic behavior — but the wrapper
is belt-and-suspenders.
### Running without the wrapper (only if you must)
If you can't use the wrapper (e.g. on Windows or inside an IDE that shells
pytest directly), at minimum activate the venv and pass `-n 4`:
```bash
source venv/bin/activate
python -m pytest tests/ -q -n 4
python -m pytest tests/ -q # Full suite (~3000 tests, ~3 min)
python -m pytest tests/test_model_tools.py -q # Toolset resolution
python -m pytest tests/test_cli_init.py -q # CLI config loading
python -m pytest tests/gateway/ -q # Gateway tests
python -m pytest tests/tools/ -q # Tool-level tests
```
Worker count above 4 will surface test-ordering flakes that CI never sees.
Always run the full suite before pushing changes.
### Don't write change-detector tests
A test is a **change-detector** if it fails whenever data that is **expected
to change** gets updated — model catalogs, config version numbers,
enumeration counts, hardcoded lists of provider models. These tests add no
behavioral coverage; they just guarantee that routine source updates break
CI and cost engineering time to "fix."
**Do not write:**
```python
# catalog snapshot — breaks every model release
assert "gemini-2.5-pro" in _PROVIDER_MODELS["gemini"]
assert "MiniMax-M2.7" in models
# config version literal — breaks every schema bump
assert DEFAULT_CONFIG["_config_version"] == 21
# enumeration count — breaks every time a skill/provider is added
assert len(_PROVIDER_MODELS["huggingface"]) == 8
```
**Do write:**
```python
# behavior: does the catalog plumbing work at all?
assert "gemini" in _PROVIDER_MODELS
assert len(_PROVIDER_MODELS["gemini"]) >= 1
# behavior: does migration bump the user's version to current latest?
assert raw["_config_version"] == DEFAULT_CONFIG["_config_version"]
# invariant: no plan-only model leaks into the legacy list
assert not (set(moonshot_models) & coding_plan_only_models)
# invariant: every model in the catalog has a context-length entry
for m in _PROVIDER_MODELS["huggingface"]:
assert m.lower() in DEFAULT_CONTEXT_LENGTHS_LOWER
```
The rule: if the test reads like a snapshot of current data, delete it. If
it reads like a contract about how two pieces of data must relate, keep it.
When a PR adds a new provider/model and you want a test, make the test
assert the relationship (e.g. "catalog entries all have context lengths"),
not the specific names.
Reviewers should reject new change-detector tests; authors should convert
them into invariants before re-requesting review.

View File

@@ -1,54 +0,0 @@
FROM ghcr.io/astral-sh/uv:0.11.6-python3.13-trixie@sha256:b3c543b6c4f23a5f2df22866bd7857e5d304b67a564f4feab6ac22044dde719b AS uv_source
FROM tianon/gosu:1.19-trixie@sha256:3b176695959c71e123eb390d427efc665eeb561b1540e82679c15e992006b8b9 AS gosu_source
FROM debian:13.4
# Disable Python stdout buffering to ensure logs are printed immediately
ENV PYTHONUNBUFFERED=1
# Store Playwright browsers outside the volume mount so the build-time
# install survives the /opt/data volume overlay at runtime.
ENV PLAYWRIGHT_BROWSERS_PATH=/opt/hermes/.playwright
# Install system dependencies in one layer, clear APT cache
RUN apt-get update && \
apt-get install -y --no-install-recommends \
build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git && \
rm -rf /var/lib/apt/lists/*
# Non-root user for runtime; UID can be overridden via HERMES_UID at runtime
RUN useradd -u 10000 -m -d /opt/data hermes
COPY --chmod=0755 --from=gosu_source /gosu /usr/local/bin/
COPY --chmod=0755 --from=uv_source /usr/local/bin/uv /usr/local/bin/uvx /usr/local/bin/
WORKDIR /opt/hermes
# ---------- Layer-cached dependency install ----------
# Copy only package manifests first so npm install + Playwright are cached
# unless the lockfiles themselves change.
COPY package.json package-lock.json ./
COPY web/package.json web/package-lock.json web/
RUN npm install --prefer-offline --no-audit && \
npx playwright install --with-deps chromium --only-shell && \
(cd web && npm install --prefer-offline --no-audit) && \
npm cache clean --force
# ---------- Source code ----------
# .dockerignore excludes node_modules, so the installs above survive.
COPY --chown=hermes:hermes . .
# Build web dashboard (Vite outputs to hermes_agent/cli/web_dist/)
RUN cd web && npm run build
# ---------- Python virtualenv ----------
RUN chown hermes:hermes /opt/hermes
USER hermes
RUN uv venv && \
uv pip install --no-cache-dir -e ".[all]"
# ---------- Runtime ----------
ENV HERMES_WEB_DIST=/opt/hermes/hermes_agent/cli/web_dist
ENV HERMES_HOME=/opt/data
VOLUME [ "/opt/data" ]
ENTRYPOINT [ "/opt/hermes/docker/entrypoint.sh" ]

View File

@@ -1,5 +0,0 @@
graft hermes_agent
graft skills
graft optional-skills
global-exclude __pycache__
global-exclude *.py[cod]

View File

@@ -13,7 +13,7 @@
**The self-improving AI agent built by [Nous Research](https://nousresearch.com).** It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM.
Use any model you want — [Nous Portal](https://portal.nousresearch.com), [OpenRouter](https://openrouter.ai) (200+ models), [NVIDIA NIM](https://build.nvidia.com) (Nemotron), [Xiaomi MiMo](https://platform.xiaomimimo.com), [z.ai/GLM](https://z.ai), [Kimi/Moonshot](https://platform.moonshot.ai), [MiniMax](https://www.minimax.io), [Hugging Face](https://huggingface.co), OpenAI, or your own endpoint. Switch with `hermes model` — no code changes, no lock-in.
Use any model you want — [Nous Portal](https://portal.nousresearch.com), [OpenRouter](https://openrouter.ai) (200+ models), [z.ai/GLM](https://z.ai), [Kimi/Moonshot](https://platform.moonshot.ai), [MiniMax](https://www.minimax.io), OpenAI, or your own endpoint. Switch with `hermes model` — no code changes, no lock-in.
<table>
<tr><td><b>A real terminal interface</b></td><td>Full TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output.</td></tr>
@@ -33,10 +33,8 @@ Use any model you want — [Nous Portal](https://portal.nousresearch.com), [Open
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
```
Works on Linux, macOS, WSL2, and Android via Termux. The installer handles the platform-specific setup for you.
Works on Linux, macOS, and WSL2. The installer handles everything — Python, Node.js, dependencies, and the `hermes` command. No prerequisites except git.
> **Android / Termux:** The tested manual path is documented in the [Termux guide](https://hermes-agent.nousresearch.com/docs/getting-started/termux). On Termux, Hermes installs a curated `.[termux]` extra because the full `.[all]` extra currently pulls Android-incompatible voice dependencies.
>
> **Windows:** Native Windows is not supported. Please install [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) and run the command above.
After installation:
@@ -141,18 +139,11 @@ See `hermes claw migrate --help` for all options, or use the `openclaw-migration
We welcome contributions! See the [Contributing Guide](https://hermes-agent.nousresearch.com/docs/developer-guide/contributing) for development setup, code style, and PR process.
Quick start for contributors — clone and go with `setup-hermes.sh`:
Quick start for contributors:
```bash
git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
./setup-hermes.sh # installs uv, creates venv, installs .[all], symlinks ~/.local/bin/hermes
./hermes # auto-detects the venv, no need to `source` first
```
Manual path (equivalent to the above):
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv venv --python 3.11
source venv/bin/activate
@@ -174,7 +165,6 @@ python -m pytest tests/ -q
- 📚 [Skills Hub](https://agentskills.io)
- 🐛 [Issues](https://github.com/NousResearch/hermes-agent/issues)
- 💡 [Discussions](https://github.com/NousResearch/hermes-agent/discussions)
- 🔌 [HermesClaw](https://github.com/AaronWong1999/hermesclaw) — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.
---

View File

@@ -1,27 +0,0 @@
# Hermes Agent v0.10.0 (v2026.4.16)
**Release Date:** April 16, 2026
> The Tool Gateway release — paid Nous Portal subscribers can now use web search, image generation, text-to-speech, and browser automation through their existing subscription with zero additional API keys.
---
## ✨ Highlights
- **Nous Tool Gateway** — Paid [Nous Portal](https://portal.nousresearch.com) subscribers now get automatic access to **web search** (Firecrawl), **image generation** (FAL / FLUX 2 Pro), **text-to-speech** (OpenAI TTS), and **browser automation** (Browser Use) through their existing subscription. No separate API keys needed — just run `hermes model`, select Nous Portal, and pick which tools to enable. Per-tool opt-in via `use_gateway` config, full integration with `hermes tools` and `hermes status`, and the runtime correctly prefers the gateway even when direct API keys exist. Replaces the old hidden `HERMES_ENABLE_NOUS_MANAGED_TOOLS` env var with clean subscription-based detection. ([#11206](https://github.com/NousResearch/hermes-agent/pull/11206), based on work by @jquesnelle; docs: [#11208](https://github.com/NousResearch/hermes-agent/pull/11208))
---
## 🐛 Bug Fixes & Improvements
This release includes 180+ commits with numerous bug fixes, platform improvements, and reliability enhancements across the agent core, gateway, CLI, and tool system. Full details will be published in the v0.11.0 changelog.
---
## 👥 Contributors
- **@jquesnelle** (emozilla) — Original Tool Gateway implementation ([#10799](https://github.com/NousResearch/hermes-agent/pull/10799)), salvaged and shipped in this release
---
**Full Changelog**: [v2026.4.13...v2026.4.16](https://github.com/NousResearch/hermes-agent/compare/v2026.4.13...v2026.4.16)

View File

@@ -1,348 +0,0 @@
# Hermes Agent v0.5.0 (v2026.3.28)
**Release Date:** March 28, 2026
> The hardening release — Hugging Face provider, /model command overhaul, Telegram Private Chat Topics, native Modal SDK, plugin lifecycle hooks, tool-use enforcement for GPT models, Nix flake, 50+ security and reliability fixes, and a comprehensive supply chain audit.
---
## ✨ Highlights
- **Nous Portal now supports 400+ models** — The Nous Research inference portal has expanded dramatically, giving Hermes Agent users access to over 400 models through a single provider endpoint
- **Hugging Face as a first-class inference provider** — Full integration with HF Inference API including curated agentic model picker that maps to OpenRouter analogues, live `/models` endpoint probe, and setup wizard flow ([#3419](https://github.com/NousResearch/hermes-agent/pull/3419), [#3440](https://github.com/NousResearch/hermes-agent/pull/3440))
- **Telegram Private Chat Topics** — Project-based conversations with functional skill binding per topic, enabling isolated workflows within a single Telegram chat ([#3163](https://github.com/NousResearch/hermes-agent/pull/3163))
- **Native Modal SDK backend** — Replaced swe-rex dependency with native Modal SDK (`Sandbox.create.aio` + `exec.aio`), eliminating tunnels and simplifying the Modal terminal backend ([#3538](https://github.com/NousResearch/hermes-agent/pull/3538))
- **Plugin lifecycle hooks activated** — `pre_llm_call`, `post_llm_call`, `on_session_start`, and `on_session_end` hooks now fire in the agent loop and CLI/gateway, completing the plugin hook system ([#3542](https://github.com/NousResearch/hermes-agent/pull/3542))
- **Improved OpenAI Model Reliability** — Added `GPT_TOOL_USE_GUIDANCE` to prevent GPT models from describing intended actions instead of making tool calls, plus automatic stripping of stale budget warnings from conversation history that caused models to avoid tools across turns ([#3528](https://github.com/NousResearch/hermes-agent/pull/3528))
- **Nix flake** — Full uv2nix build, NixOS module with persistent container mode, auto-generated config keys from Python source, and suffix PATHs for agent-friendliness ([#20](https://github.com/NousResearch/hermes-agent/pull/20), [#3274](https://github.com/NousResearch/hermes-agent/pull/3274), [#3061](https://github.com/NousResearch/hermes-agent/pull/3061)) by @alt-glitch
- **Supply chain hardening** — Removed compromised `litellm` dependency, pinned all dependency version ranges, regenerated `uv.lock` with hashes, added CI workflow scanning PRs for supply chain attack patterns, and bumped deps to fix CVEs ([#2796](https://github.com/NousResearch/hermes-agent/pull/2796), [#2810](https://github.com/NousResearch/hermes-agent/pull/2810), [#2812](https://github.com/NousResearch/hermes-agent/pull/2812), [#2816](https://github.com/NousResearch/hermes-agent/pull/2816), [#3073](https://github.com/NousResearch/hermes-agent/pull/3073))
- **Anthropic output limits fix** — Replaced hardcoded 16K `max_tokens` with per-model native output limits (128K for Opus 4.6, 64K for Sonnet 4.6), fixing "Response truncated" and thinking-budget exhaustion on direct Anthropic API ([#3426](https://github.com/NousResearch/hermes-agent/pull/3426), [#3444](https://github.com/NousResearch/hermes-agent/pull/3444))
---
## 🏗️ Core Agent & Architecture
### New Provider: Hugging Face
- First-class Hugging Face Inference API integration with auth, setup wizard, and model picker ([#3419](https://github.com/NousResearch/hermes-agent/pull/3419))
- Curated model list mapping OpenRouter agentic defaults to HF equivalents — providers with 8+ curated models skip live `/models` probe for speed ([#3440](https://github.com/NousResearch/hermes-agent/pull/3440))
- Added glm-5-turbo to Z.AI provider model list ([#3095](https://github.com/NousResearch/hermes-agent/pull/3095))
### Provider & Model Improvements
- `/model` command overhaul — extracted shared `switch_model()` pipeline for CLI and gateway, custom endpoint support, provider-aware routing ([#2795](https://github.com/NousResearch/hermes-agent/pull/2795), [#2799](https://github.com/NousResearch/hermes-agent/pull/2799))
- Removed `/model` slash command from CLI and gateway in favor of `hermes model` subcommand ([#3080](https://github.com/NousResearch/hermes-agent/pull/3080))
- Preserve `custom` provider instead of silently remapping to `openrouter` ([#2792](https://github.com/NousResearch/hermes-agent/pull/2792))
- Read root-level `provider` and `base_url` from config.yaml into model config ([#3112](https://github.com/NousResearch/hermes-agent/pull/3112))
- Align Nous Portal model slugs with OpenRouter naming ([#3253](https://github.com/NousResearch/hermes-agent/pull/3253))
- Fix Alibaba provider default endpoint and model list ([#3484](https://github.com/NousResearch/hermes-agent/pull/3484))
- Allow MiniMax users to override `/v1``/anthropic` auto-correction ([#3553](https://github.com/NousResearch/hermes-agent/pull/3553))
- Migrate OAuth token refresh to `platform.claude.com` with fallback ([#3246](https://github.com/NousResearch/hermes-agent/pull/3246))
### Agent Loop & Conversation
- **Improved OpenAI model reliability** — `GPT_TOOL_USE_GUIDANCE` prevents GPT models from describing actions instead of calling tools + automatic budget warning stripping from history ([#3528](https://github.com/NousResearch/hermes-agent/pull/3528))
- **Surface lifecycle events** — All retry, fallback, and compression events now surface to the user as formatted messages ([#3153](https://github.com/NousResearch/hermes-agent/pull/3153))
- **Anthropic output limits** — Per-model native output limits instead of hardcoded 16K `max_tokens` ([#3426](https://github.com/NousResearch/hermes-agent/pull/3426))
- **Thinking-budget exhaustion detection** — Skip useless continuation retries when model uses all output tokens on reasoning ([#3444](https://github.com/NousResearch/hermes-agent/pull/3444))
- Always prefer streaming for API calls to prevent hung subagents ([#3120](https://github.com/NousResearch/hermes-agent/pull/3120))
- Restore safe non-streaming fallback after stream failures ([#3020](https://github.com/NousResearch/hermes-agent/pull/3020))
- Give subagents independent iteration budgets ([#3004](https://github.com/NousResearch/hermes-agent/pull/3004))
- Update `api_key` in `_try_activate_fallback` for subagent auth ([#3103](https://github.com/NousResearch/hermes-agent/pull/3103))
- Graceful return on max retries instead of crashing thread ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Count compression restarts toward retry limit ([#3070](https://github.com/NousResearch/hermes-agent/pull/3070))
- Include tool tokens in preflight estimate, guard context probe persistence ([#3164](https://github.com/NousResearch/hermes-agent/pull/3164))
- Update context compressor limits after fallback activation ([#3305](https://github.com/NousResearch/hermes-agent/pull/3305))
- Validate empty user messages to prevent Anthropic API 400 errors ([#3322](https://github.com/NousResearch/hermes-agent/pull/3322))
- GLM reasoning-only and max-length handling ([#3010](https://github.com/NousResearch/hermes-agent/pull/3010))
- Increase API timeout default from 900s to 1800s for slow-thinking models ([#3431](https://github.com/NousResearch/hermes-agent/pull/3431))
- Send `max_tokens` for Claude/OpenRouter + retry SSE connection errors ([#3497](https://github.com/NousResearch/hermes-agent/pull/3497))
- Prevent AsyncOpenAI/httpx cross-loop deadlock in gateway mode ([#2701](https://github.com/NousResearch/hermes-agent/pull/2701)) by @ctlst
### Streaming & Reasoning
- **Persist reasoning across gateway session turns** with new schema v6 columns (`reasoning`, `reasoning_details`, `codex_reasoning_items`) ([#2974](https://github.com/NousResearch/hermes-agent/pull/2974))
- Detect and kill stale SSE connections ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Fix stale stream detector race causing spurious `RemoteProtocolError` ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Skip duplicate callback for `<think>`-extracted reasoning during streaming ([#3116](https://github.com/NousResearch/hermes-agent/pull/3116))
- Preserve reasoning fields in `rewrite_transcript` ([#3311](https://github.com/NousResearch/hermes-agent/pull/3311))
- Preserve Gemini thought signatures in streamed tool calls ([#2997](https://github.com/NousResearch/hermes-agent/pull/2997))
- Ensure first delta is fired during reasoning updates ([untagged commit](https://github.com/NousResearch/hermes-agent))
### Session & Memory
- **Session search recent sessions mode** — Omit query to browse recent sessions with titles, previews, and timestamps ([#2533](https://github.com/NousResearch/hermes-agent/pull/2533))
- **Session config surfacing** on `/new`, `/reset`, and auto-reset ([#3321](https://github.com/NousResearch/hermes-agent/pull/3321))
- **Third-party session isolation** — `--source` flag for isolating sessions by origin ([#3255](https://github.com/NousResearch/hermes-agent/pull/3255))
- Add `/resume` CLI handler, session log truncation guard, `reopen_session` API ([#3315](https://github.com/NousResearch/hermes-agent/pull/3315))
- Clear compressor summary and turn counter on `/clear` and `/new` ([#3102](https://github.com/NousResearch/hermes-agent/pull/3102))
- Surface silent SessionDB failures that cause session data loss ([#2999](https://github.com/NousResearch/hermes-agent/pull/2999))
- Session search fallback preview on summarization failure ([#3478](https://github.com/NousResearch/hermes-agent/pull/3478))
- Prevent stale memory overwrites by flush agent ([#2687](https://github.com/NousResearch/hermes-agent/pull/2687))
### Context Compression
- Replace dead `summary_target_tokens` with ratio-based scaling ([#2554](https://github.com/NousResearch/hermes-agent/pull/2554))
- Expose `compression.target_ratio`, `protect_last_n`, and `threshold` in `DEFAULT_CONFIG` ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Restore sane defaults and cap summary at 12K tokens ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Preserve transcript on `/compress` and hygiene compression ([#3556](https://github.com/NousResearch/hermes-agent/pull/3556))
- Update context pressure warnings and token estimates after compaction ([untagged commit](https://github.com/NousResearch/hermes-agent))
### Architecture & Dependencies
- **Remove mini-swe-agent dependency** — Inline Docker and Modal backends directly ([#2804](https://github.com/NousResearch/hermes-agent/pull/2804))
- **Replace swe-rex with native Modal SDK** for Modal backend ([#3538](https://github.com/NousResearch/hermes-agent/pull/3538))
- **Plugin lifecycle hooks** — `pre_llm_call`, `post_llm_call`, `on_session_start`, `on_session_end` now fire in the agent loop ([#3542](https://github.com/NousResearch/hermes-agent/pull/3542))
- Fix plugin toolsets invisible in `hermes tools` and standalone processes ([#3457](https://github.com/NousResearch/hermes-agent/pull/3457))
- Consolidate `get_hermes_home()` and `parse_reasoning_effort()` ([#3062](https://github.com/NousResearch/hermes-agent/pull/3062))
- Remove unused Hermes-native PKCE OAuth flow ([#3107](https://github.com/NousResearch/hermes-agent/pull/3107))
- Remove ~100 unused imports across 55 files ([#3016](https://github.com/NousResearch/hermes-agent/pull/3016))
- Fix 154 f-strings, simplify getattr/URL patterns, remove dead code ([#3119](https://github.com/NousResearch/hermes-agent/pull/3119))
---
## 📱 Messaging Platforms (Gateway)
### Telegram
- **Private Chat Topics** — Project-based conversations with functional skill binding per topic, enabling isolated workflows within a single Telegram chat ([#3163](https://github.com/NousResearch/hermes-agent/pull/3163))
- **Auto-discover fallback IPs via DNS-over-HTTPS** when `api.telegram.org` is unreachable ([#3376](https://github.com/NousResearch/hermes-agent/pull/3376))
- **Configurable reply threading mode** ([#2907](https://github.com/NousResearch/hermes-agent/pull/2907))
- Fall back to no `thread_id` on "Message thread not found" BadRequest ([#3390](https://github.com/NousResearch/hermes-agent/pull/3390))
- Self-reschedule reconnect when `start_polling` fails after 502 ([#3268](https://github.com/NousResearch/hermes-agent/pull/3268))
### Discord
- Stop phantom typing indicator after agent turn completes ([#3003](https://github.com/NousResearch/hermes-agent/pull/3003))
### Slack
- Send tool call progress messages to correct Slack thread ([#3063](https://github.com/NousResearch/hermes-agent/pull/3063))
- Scope progress thread fallback to Slack only ([#3488](https://github.com/NousResearch/hermes-agent/pull/3488))
### WhatsApp
- Download documents, audio, and video media from messages ([#2978](https://github.com/NousResearch/hermes-agent/pull/2978))
### Matrix
- Add missing Matrix entry in `PLATFORMS` dict ([#3473](https://github.com/NousResearch/hermes-agent/pull/3473))
- Harden e2ee access-token handling ([#3562](https://github.com/NousResearch/hermes-agent/pull/3562))
- Add backoff for `SyncError` in sync loop ([#3280](https://github.com/NousResearch/hermes-agent/pull/3280))
### Signal
- Track SSE keepalive comments as connection activity ([#3316](https://github.com/NousResearch/hermes-agent/pull/3316))
### Email
- Prevent unbounded growth of `_seen_uids` in EmailAdapter ([#3490](https://github.com/NousResearch/hermes-agent/pull/3490))
### Gateway Core
- **Config-gated `/verbose` command** for messaging platforms — toggle tool output verbosity from chat ([#3262](https://github.com/NousResearch/hermes-agent/pull/3262))
- **Background review notifications** delivered to user chat ([#3293](https://github.com/NousResearch/hermes-agent/pull/3293))
- **Retry transient send failures** and notify user on exhaustion ([#3288](https://github.com/NousResearch/hermes-agent/pull/3288))
- Recover from hung agents — `/stop` hard-kills session lock ([#3104](https://github.com/NousResearch/hermes-agent/pull/3104))
- Thread-safe `SessionStore` — protect `_entries` with `threading.Lock` ([#3052](https://github.com/NousResearch/hermes-agent/pull/3052))
- Fix gateway token double-counting with cached agents — use absolute set instead of increment ([#3306](https://github.com/NousResearch/hermes-agent/pull/3306), [#3317](https://github.com/NousResearch/hermes-agent/pull/3317))
- Fingerprint full auth token in agent cache signature ([#3247](https://github.com/NousResearch/hermes-agent/pull/3247))
- Silence background agent terminal output ([#3297](https://github.com/NousResearch/hermes-agent/pull/3297))
- Include per-platform `ALLOW_ALL` and `SIGNAL_GROUP` in startup allowlist check ([#3313](https://github.com/NousResearch/hermes-agent/pull/3313))
- Include user-local bin paths in systemd unit PATH ([#3527](https://github.com/NousResearch/hermes-agent/pull/3527))
- Track background task references in `GatewayRunner` ([#3254](https://github.com/NousResearch/hermes-agent/pull/3254))
- Add request timeouts to HA, Email, Mattermost, SMS adapters ([#3258](https://github.com/NousResearch/hermes-agent/pull/3258))
- Add media download retry to Mattermost, Slack, and base cache ([#3323](https://github.com/NousResearch/hermes-agent/pull/3323))
- Detect virtualenv path instead of hardcoding `venv/` ([#2797](https://github.com/NousResearch/hermes-agent/pull/2797))
- Use `TERMINAL_CWD` for context file discovery, not process cwd ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Stop loading hermes repo AGENTS.md into gateway sessions (~10k wasted tokens) ([#2891](https://github.com/NousResearch/hermes-agent/pull/2891))
---
## 🖥️ CLI & User Experience
### Interactive CLI
- **Configurable busy input mode** + fix `/queue` always working ([#3298](https://github.com/NousResearch/hermes-agent/pull/3298))
- **Preserve user input on multiline paste** ([#3065](https://github.com/NousResearch/hermes-agent/pull/3065))
- **Tool generation callback** — streaming "preparing terminal…" updates during tool argument generation ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Show tool progress for substantive tools, not just "preparing" ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Buffer reasoning preview chunks and fix duplicate display ([#3013](https://github.com/NousResearch/hermes-agent/pull/3013))
- Prevent reasoning box from rendering 3x during tool-calling loops ([#3405](https://github.com/NousResearch/hermes-agent/pull/3405))
- Eliminate "Event loop is closed" / "Press ENTER to continue" during idle — three-layer fix with `neuter_async_httpx_del()`, custom exception handler, and stale client cleanup ([#3398](https://github.com/NousResearch/hermes-agent/pull/3398))
- Fix status bar shows 26K instead of 260K for token counts with trailing zeros ([#3024](https://github.com/NousResearch/hermes-agent/pull/3024))
- Fix status bar duplicates and degrades during long sessions ([#3291](https://github.com/NousResearch/hermes-agent/pull/3291))
- Refresh TUI before background task output to prevent status bar overlap ([#3048](https://github.com/NousResearch/hermes-agent/pull/3048))
- Suppress KawaiiSpinner animation under `patch_stdout` ([#2994](https://github.com/NousResearch/hermes-agent/pull/2994))
- Skip KawaiiSpinner when TUI handles tool progress ([#2973](https://github.com/NousResearch/hermes-agent/pull/2973))
- Guard `isatty()` against closed streams via `_is_tty` property ([#3056](https://github.com/NousResearch/hermes-agent/pull/3056))
- Ensure single closure of streaming boxes during tool generation ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Cap context pressure percentage at 100% in display ([#3480](https://github.com/NousResearch/hermes-agent/pull/3480))
- Clean up HTML error messages in CLI display ([#3069](https://github.com/NousResearch/hermes-agent/pull/3069))
- Show HTTP status code and 400 body in API error output ([#3096](https://github.com/NousResearch/hermes-agent/pull/3096))
- Extract useful info from HTML error pages, dump debug on max retries ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Prevent TypeError on startup when `base_url` is None ([#3068](https://github.com/NousResearch/hermes-agent/pull/3068))
- Prevent update crash in non-TTY environments ([#3094](https://github.com/NousResearch/hermes-agent/pull/3094))
- Handle EOFError in sessions delete/prune confirmation prompts ([#3101](https://github.com/NousResearch/hermes-agent/pull/3101))
- Catch KeyboardInterrupt during `flush_memories` on exit and in exit cleanup handlers ([#3025](https://github.com/NousResearch/hermes-agent/pull/3025), [#3257](https://github.com/NousResearch/hermes-agent/pull/3257))
- Guard `.strip()` against None values from YAML config ([#3552](https://github.com/NousResearch/hermes-agent/pull/3552))
- Guard `config.get()` against YAML null values to prevent AttributeError ([#3377](https://github.com/NousResearch/hermes-agent/pull/3377))
- Store asyncio task references to prevent GC mid-execution ([#3267](https://github.com/NousResearch/hermes-agent/pull/3267))
### Setup & Configuration
- Use explicit key mapping for returning-user menu dispatch instead of positional index ([#3083](https://github.com/NousResearch/hermes-agent/pull/3083))
- Use `sys.executable` for pip in update commands to fix PEP 668 ([#3099](https://github.com/NousResearch/hermes-agent/pull/3099))
- Harden `hermes update` against diverged history, non-main branches, and gateway edge cases ([#3492](https://github.com/NousResearch/hermes-agent/pull/3492))
- OpenClaw migration overwrites defaults and setup wizard skips imported sections — fixed ([#3282](https://github.com/NousResearch/hermes-agent/pull/3282))
- Stop recursive AGENTS.md walk, load top-level only ([#3110](https://github.com/NousResearch/hermes-agent/pull/3110))
- Add macOS Homebrew paths to browser and terminal PATH resolution ([#2713](https://github.com/NousResearch/hermes-agent/pull/2713))
- YAML boolean handling for `tool_progress` config ([#3300](https://github.com/NousResearch/hermes-agent/pull/3300))
- Reset default SOUL.md to baseline identity text ([#3159](https://github.com/NousResearch/hermes-agent/pull/3159))
- Reject relative cwd paths for container terminal backends ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Add explicit `hermes-api-server` toolset for API server platform ([#3304](https://github.com/NousResearch/hermes-agent/pull/3304))
- Reorder setup wizard providers — OpenRouter first ([untagged commit](https://github.com/NousResearch/hermes-agent))
---
## 🔧 Tool System
### API Server
- **Idempotency-Key support**, body size limit, and OpenAI error envelope ([#2903](https://github.com/NousResearch/hermes-agent/pull/2903))
- Allow Idempotency-Key in CORS headers ([#3530](https://github.com/NousResearch/hermes-agent/pull/3530))
- Cancel orphaned agent + true interrupt on SSE disconnect ([#3427](https://github.com/NousResearch/hermes-agent/pull/3427))
- Fix streaming breaks when agent makes tool calls ([#2985](https://github.com/NousResearch/hermes-agent/pull/2985))
### Terminal & File Operations
- Handle addition-only hunks in V4A patch parser ([#3325](https://github.com/NousResearch/hermes-agent/pull/3325))
- Exponential backoff for persistent shell polling ([#2996](https://github.com/NousResearch/hermes-agent/pull/2996))
- Add timeout to subprocess calls in `context_references` ([#3469](https://github.com/NousResearch/hermes-agent/pull/3469))
### Browser & Vision
- Handle 402 insufficient credits error in vision tool ([#2802](https://github.com/NousResearch/hermes-agent/pull/2802))
- Fix `browser_vision` ignores `auxiliary.vision.timeout` config ([#2901](https://github.com/NousResearch/hermes-agent/pull/2901))
- Make browser command timeout configurable via config.yaml ([#2801](https://github.com/NousResearch/hermes-agent/pull/2801))
### MCP
- MCP toolset resolution for runtime and config ([#3252](https://github.com/NousResearch/hermes-agent/pull/3252))
- Add MCP tool name collision protection ([#3077](https://github.com/NousResearch/hermes-agent/pull/3077))
### Auxiliary LLM
- Guard aux LLM calls against None content + reasoning fallback + retry ([#3449](https://github.com/NousResearch/hermes-agent/pull/3449))
- Catch ImportError from `build_anthropic_client` in vision auto-detection ([#3312](https://github.com/NousResearch/hermes-agent/pull/3312))
### Other Tools
- Add request timeouts to `send_message_tool` HTTP calls ([#3162](https://github.com/NousResearch/hermes-agent/pull/3162)) by @memosr
- Auto-repair `jobs.json` with invalid control characters ([#3537](https://github.com/NousResearch/hermes-agent/pull/3537))
- Enable fine-grained tool streaming for Claude/OpenRouter ([#3497](https://github.com/NousResearch/hermes-agent/pull/3497))
---
## 🧩 Skills Ecosystem
### Skills System
- **Env var passthrough** for skills and user config — skills can declare environment variables to pass through ([#2807](https://github.com/NousResearch/hermes-agent/pull/2807))
- Cache skills prompt with shared `skill_utils` module for faster TTFT ([#3421](https://github.com/NousResearch/hermes-agent/pull/3421))
- Avoid redundant file re-read for skill conditions ([#2992](https://github.com/NousResearch/hermes-agent/pull/2992))
- Use Git Trees API to prevent silent subdirectory loss during install ([#2995](https://github.com/NousResearch/hermes-agent/pull/2995))
- Fix skills-sh install for deeply nested repo structures ([#2980](https://github.com/NousResearch/hermes-agent/pull/2980))
- Handle null metadata in skill frontmatter ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Preserve trust for skills-sh identifiers + reduce resolution churn ([#3251](https://github.com/NousResearch/hermes-agent/pull/3251))
- Agent-created skills were incorrectly treated as untrusted community content — fixed ([untagged commit](https://github.com/NousResearch/hermes-agent))
### New Skills
- **G0DM0D3 godmode jailbreaking skill** + docs ([#3157](https://github.com/NousResearch/hermes-agent/pull/3157))
- **Docker management skill** added to optional-skills ([#3060](https://github.com/NousResearch/hermes-agent/pull/3060))
- **OpenClaw migration v2** — 17 new modules, terminal recap for migrating from OpenClaw to Hermes ([#2906](https://github.com/NousResearch/hermes-agent/pull/2906))
---
## 🔒 Security & Reliability
### Security Hardening
- **SSRF protection** added to `browser_navigate` ([#3058](https://github.com/NousResearch/hermes-agent/pull/3058))
- **SSRF protection** added to `vision_tools` and `web_tools` (hardened) ([#2679](https://github.com/NousResearch/hermes-agent/pull/2679))
- **Restrict subagent toolsets** to parent's enabled set ([#3269](https://github.com/NousResearch/hermes-agent/pull/3269))
- **Prevent zip-slip path traversal** in self-update ([#3250](https://github.com/NousResearch/hermes-agent/pull/3250))
- **Prevent shell injection** in `_expand_path` via `~user` path suffix ([#2685](https://github.com/NousResearch/hermes-agent/pull/2685))
- **Normalize input** before dangerous command detection ([#3260](https://github.com/NousResearch/hermes-agent/pull/3260))
- Make tirith block verdicts approvable instead of hard-blocking ([#3428](https://github.com/NousResearch/hermes-agent/pull/3428))
- Remove compromised `litellm`/`typer`/`platformdirs` from deps ([#2796](https://github.com/NousResearch/hermes-agent/pull/2796))
- Pin all dependency version ranges ([#2810](https://github.com/NousResearch/hermes-agent/pull/2810))
- Regenerate `uv.lock` with hashes, use lockfile in setup ([#2812](https://github.com/NousResearch/hermes-agent/pull/2812))
- Bump dependencies to fix CVEs + regenerate `uv.lock` ([#3073](https://github.com/NousResearch/hermes-agent/pull/3073))
- Supply chain audit CI workflow for PR scanning ([#2816](https://github.com/NousResearch/hermes-agent/pull/2816))
### Reliability
- **SQLite WAL write-lock contention** causing 15-20s TUI freeze — fixed ([#3385](https://github.com/NousResearch/hermes-agent/pull/3385))
- **SQLite concurrency hardening** + session transcript integrity ([#3249](https://github.com/NousResearch/hermes-agent/pull/3249))
- Prevent recurring cron job re-fire on gateway crash/restart loop ([#3396](https://github.com/NousResearch/hermes-agent/pull/3396))
- Mark cron session as ended after job completes ([#2998](https://github.com/NousResearch/hermes-agent/pull/2998))
---
## ⚡ Performance
- **TTFT startup optimizations** — salvaged easy-win startup improvements ([#3395](https://github.com/NousResearch/hermes-agent/pull/3395))
- Cache skills prompt with shared `skill_utils` module ([#3421](https://github.com/NousResearch/hermes-agent/pull/3421))
- Avoid redundant file re-read for skill conditions in prompt builder ([#2992](https://github.com/NousResearch/hermes-agent/pull/2992))
---
## 🐛 Notable Bug Fixes
- Fix gateway token double-counting with cached agents ([#3306](https://github.com/NousResearch/hermes-agent/pull/3306), [#3317](https://github.com/NousResearch/hermes-agent/pull/3317))
- Fix "Event loop is closed" / "Press ENTER to continue" during idle sessions ([#3398](https://github.com/NousResearch/hermes-agent/pull/3398))
- Fix reasoning box rendering 3x during tool-calling loops ([#3405](https://github.com/NousResearch/hermes-agent/pull/3405))
- Fix status bar shows 26K instead of 260K for token counts ([#3024](https://github.com/NousResearch/hermes-agent/pull/3024))
- Fix `/queue` always working regardless of config ([#3298](https://github.com/NousResearch/hermes-agent/pull/3298))
- Fix phantom Discord typing indicator after agent turn ([#3003](https://github.com/NousResearch/hermes-agent/pull/3003))
- Fix Slack progress messages appearing in wrong thread ([#3063](https://github.com/NousResearch/hermes-agent/pull/3063))
- Fix WhatsApp media downloads (documents, audio, video) ([#2978](https://github.com/NousResearch/hermes-agent/pull/2978))
- Fix Telegram "Message thread not found" killing progress messages ([#3390](https://github.com/NousResearch/hermes-agent/pull/3390))
- Fix OpenClaw migration overwriting defaults ([#3282](https://github.com/NousResearch/hermes-agent/pull/3282))
- Fix returning-user setup menu dispatching wrong section ([#3083](https://github.com/NousResearch/hermes-agent/pull/3083))
- Fix `hermes update` PEP 668 "externally-managed-environment" error ([#3099](https://github.com/NousResearch/hermes-agent/pull/3099))
- Fix subagents hitting `max_iterations` prematurely via shared budget ([#3004](https://github.com/NousResearch/hermes-agent/pull/3004))
- Fix YAML boolean handling for `tool_progress` config ([#3300](https://github.com/NousResearch/hermes-agent/pull/3300))
- Fix `config.get()` crashes on YAML null values ([#3377](https://github.com/NousResearch/hermes-agent/pull/3377))
- Fix `.strip()` crash on None values from YAML config ([#3552](https://github.com/NousResearch/hermes-agent/pull/3552))
- Fix hung agents on gateway — `/stop` now hard-kills session lock ([#3104](https://github.com/NousResearch/hermes-agent/pull/3104))
- Fix `_custom` provider silently remapped to `openrouter` ([#2792](https://github.com/NousResearch/hermes-agent/pull/2792))
- Fix Matrix missing from `PLATFORMS` dict ([#3473](https://github.com/NousResearch/hermes-agent/pull/3473))
- Fix Email adapter unbounded `_seen_uids` growth ([#3490](https://github.com/NousResearch/hermes-agent/pull/3490))
---
## 🧪 Testing
- Pin `agent-client-protocol` < 0.9 to handle breaking upstream release ([#3320](https://github.com/NousResearch/hermes-agent/pull/3320))
- Catch anthropic ImportError in vision auto-detection tests ([#3312](https://github.com/NousResearch/hermes-agent/pull/3312))
- Update retry-exhaust test for new graceful return behavior ([#3320](https://github.com/NousResearch/hermes-agent/pull/3320))
- Add regression tests for null metadata frontmatter ([untagged commit](https://github.com/NousResearch/hermes-agent))
---
## 📚 Documentation
- Update all docs for `/model` command overhaul and custom provider support ([#2800](https://github.com/NousResearch/hermes-agent/pull/2800))
- Fix stale and incorrect documentation across 18 files ([#2805](https://github.com/NousResearch/hermes-agent/pull/2805))
- Document 9 previously undocumented features ([#2814](https://github.com/NousResearch/hermes-agent/pull/2814))
- Add missing skills, CLI commands, and messaging env vars to docs ([#2809](https://github.com/NousResearch/hermes-agent/pull/2809))
- Fix api-server response storage documentation — SQLite, not in-memory ([#2819](https://github.com/NousResearch/hermes-agent/pull/2819))
- Quote pip install extras to fix zsh glob errors ([#2815](https://github.com/NousResearch/hermes-agent/pull/2815))
- Unify hooks documentation — add plugin hooks to hooks page, add `session:end` event ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Clarify two-mode behavior in `session_search` schema description ([untagged commit](https://github.com/NousResearch/hermes-agent))
- Fix Discord Public Bot setting for Discord-provided invite link ([#3519](https://github.com/NousResearch/hermes-agent/pull/3519)) by @mehmoodosman
- Revise v0.4.0 changelog — fix feature attribution, reorder sections ([untagged commit](https://github.com/NousResearch/hermes-agent))
---
## 👥 Contributors
### Core
- **@teknium1** — 157 PRs covering the full scope of this release
### Community Contributors
- **@alt-glitch** (Siddharth Balyan) — 2 PRs: Nix flake with uv2nix build, NixOS module, and persistent container mode ([#20](https://github.com/NousResearch/hermes-agent/pull/20)); auto-generated config keys and suffix PATHs for Nix builds ([#3061](https://github.com/NousResearch/hermes-agent/pull/3061), [#3274](https://github.com/NousResearch/hermes-agent/pull/3274))
- **@ctlst** — 1 PR: Prevent AsyncOpenAI/httpx cross-loop deadlock in gateway mode ([#2701](https://github.com/NousResearch/hermes-agent/pull/2701))
- **@memosr** (memosr.eth) — 1 PR: Add request timeouts to `send_message_tool` HTTP calls ([#3162](https://github.com/NousResearch/hermes-agent/pull/3162))
- **@mehmoodosman** (Osman Mehmood) — 1 PR: Fix Discord docs for Public Bot setting ([#3519](https://github.com/NousResearch/hermes-agent/pull/3519))
### All Contributors
@alt-glitch, @ctlst, @mehmoodosman, @memosr, @teknium1
---
**Full Changelog**: [v2026.3.23...v2026.3.28](https://github.com/NousResearch/hermes-agent/compare/v2026.3.23...v2026.3.28)

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

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# Hermes Agent v0.7.0 (v2026.4.3)
**Release Date:** April 3, 2026
> The resilience release — pluggable memory providers, credential pool rotation, Camofox anti-detection browser, inline diff previews, gateway hardening across race conditions and approval routing, and deep security fixes across 168 PRs and 46 resolved issues.
---
## ✨ Highlights
- **Pluggable Memory Provider Interface** — Memory is now an extensible plugin system. Third-party memory backends (Honcho, vector stores, custom DBs) implement a simple provider ABC and register via the plugin system. Built-in memory is the default provider. Honcho integration restored to full parity as the reference plugin with profile-scoped host/peer resolution. ([#4623](https://github.com/NousResearch/hermes-agent/pull/4623), [#4616](https://github.com/NousResearch/hermes-agent/pull/4616), [#4355](https://github.com/NousResearch/hermes-agent/pull/4355))
- **Same-Provider Credential Pools** — Configure multiple API keys for the same provider with automatic rotation. Thread-safe `least_used` strategy distributes load across keys, and 401 failures trigger automatic rotation to the next credential. Set up via the setup wizard or `credential_pool` config. ([#4188](https://github.com/NousResearch/hermes-agent/pull/4188), [#4300](https://github.com/NousResearch/hermes-agent/pull/4300), [#4361](https://github.com/NousResearch/hermes-agent/pull/4361))
- **Camofox Anti-Detection Browser Backend** — New local browser backend using Camoufox for stealth browsing. Persistent sessions with VNC URL discovery for visual debugging, configurable SSRF bypass for local backends, auto-install via `hermes tools`. ([#4008](https://github.com/NousResearch/hermes-agent/pull/4008), [#4419](https://github.com/NousResearch/hermes-agent/pull/4419), [#4292](https://github.com/NousResearch/hermes-agent/pull/4292))
- **Inline Diff Previews** — File write and patch operations now show inline diffs in the tool activity feed, giving you visual confirmation of what changed before the agent moves on. ([#4411](https://github.com/NousResearch/hermes-agent/pull/4411), [#4423](https://github.com/NousResearch/hermes-agent/pull/4423))
- **API Server Session Continuity & Tool Streaming** — The API server (Open WebUI integration) now streams tool progress events in real-time and supports `X-Hermes-Session-Id` headers for persistent sessions across requests. Sessions persist to the shared SessionDB. ([#4092](https://github.com/NousResearch/hermes-agent/pull/4092), [#4478](https://github.com/NousResearch/hermes-agent/pull/4478), [#4802](https://github.com/NousResearch/hermes-agent/pull/4802))
- **ACP: Client-Provided MCP Servers** — Editor integrations (VS Code, Zed, JetBrains) can now register their own MCP servers, which Hermes picks up as additional agent tools. Your editor's MCP ecosystem flows directly into the agent. ([#4705](https://github.com/NousResearch/hermes-agent/pull/4705))
- **Gateway Hardening** — Major stability pass across race conditions, photo media delivery, flood control, stuck sessions, approval routing, and compression death spirals. The gateway is substantially more reliable in production. ([#4727](https://github.com/NousResearch/hermes-agent/pull/4727), [#4750](https://github.com/NousResearch/hermes-agent/pull/4750), [#4798](https://github.com/NousResearch/hermes-agent/pull/4798), [#4557](https://github.com/NousResearch/hermes-agent/pull/4557))
- **Security: Secret Exfiltration Blocking** — Browser URLs and LLM responses are now scanned for secret patterns, blocking exfiltration attempts via URL encoding, base64, or prompt injection. Credential directory protections expanded to `.docker`, `.azure`, `.config/gh`. Execute_code sandbox output is redacted. ([#4483](https://github.com/NousResearch/hermes-agent/pull/4483), [#4360](https://github.com/NousResearch/hermes-agent/pull/4360), [#4305](https://github.com/NousResearch/hermes-agent/pull/4305), [#4327](https://github.com/NousResearch/hermes-agent/pull/4327))
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- **Same-provider credential pools** — configure multiple API keys with automatic `least_used` rotation and 401 failover ([#4188](https://github.com/NousResearch/hermes-agent/pull/4188), [#4300](https://github.com/NousResearch/hermes-agent/pull/4300))
- **Credential pool preserved through smart routing** — pool state survives fallback provider switches and defers eager fallback on 429 ([#4361](https://github.com/NousResearch/hermes-agent/pull/4361))
- **Per-turn primary runtime restoration** — after fallback provider use, the agent automatically restores the primary provider on the next turn with transport recovery ([#4624](https://github.com/NousResearch/hermes-agent/pull/4624))
- **`developer` role for GPT-5 and Codex models** — uses OpenAI's recommended system message role for newer models ([#4498](https://github.com/NousResearch/hermes-agent/pull/4498))
- **Google model operational guidance** — Gemini and Gemma models get provider-specific prompting guidance ([#4641](https://github.com/NousResearch/hermes-agent/pull/4641))
- **Anthropic long-context tier 429 handling** — automatically reduces context to 200k when hitting tier limits ([#4747](https://github.com/NousResearch/hermes-agent/pull/4747))
- **URL-based auth for third-party Anthropic endpoints** + CI test fixes ([#4148](https://github.com/NousResearch/hermes-agent/pull/4148))
- **Bearer auth for MiniMax Anthropic endpoints** ([#4028](https://github.com/NousResearch/hermes-agent/pull/4028))
- **Fireworks context length detection** ([#4158](https://github.com/NousResearch/hermes-agent/pull/4158))
- **Standard DashScope international endpoint** for Alibaba provider ([#4133](https://github.com/NousResearch/hermes-agent/pull/4133), closes [#3912](https://github.com/NousResearch/hermes-agent/issues/3912))
- **Custom providers context_length** honored in hygiene compression ([#4085](https://github.com/NousResearch/hermes-agent/pull/4085))
- **Non-sk-ant keys** treated as regular API keys, not OAuth tokens ([#4093](https://github.com/NousResearch/hermes-agent/pull/4093))
- **Claude-sonnet-4.6** added to OpenRouter and Nous model lists ([#4157](https://github.com/NousResearch/hermes-agent/pull/4157))
- **Qwen 3.6 Plus Preview** added to model lists ([#4376](https://github.com/NousResearch/hermes-agent/pull/4376))
- **MiniMax M2.7** added to hermes model picker and OpenCode ([#4208](https://github.com/NousResearch/hermes-agent/pull/4208))
- **Auto-detect models from server probe** in custom endpoint setup ([#4218](https://github.com/NousResearch/hermes-agent/pull/4218))
- **Config.yaml single source of truth** for endpoint URLs — no more env var vs config.yaml conflicts ([#4165](https://github.com/NousResearch/hermes-agent/pull/4165))
- **Setup wizard no longer overwrites** custom endpoint config ([#4180](https://github.com/NousResearch/hermes-agent/pull/4180), closes [#4172](https://github.com/NousResearch/hermes-agent/issues/4172))
- **Unified setup wizard provider selection** with `hermes model` — single code path for both flows ([#4200](https://github.com/NousResearch/hermes-agent/pull/4200))
- **Root-level provider config** no longer overrides `model.provider` ([#4329](https://github.com/NousResearch/hermes-agent/pull/4329))
- **Rate-limit pairing rejection messages** to prevent spam ([#4081](https://github.com/NousResearch/hermes-agent/pull/4081))
### Agent Loop & Conversation
- **Preserve Anthropic thinking block signatures** across tool-use turns ([#4626](https://github.com/NousResearch/hermes-agent/pull/4626))
- **Classify think-only empty responses** before retrying — prevents infinite retry loops on models that produce thinking blocks without content ([#4645](https://github.com/NousResearch/hermes-agent/pull/4645))
- **Prevent compression death spiral** from API disconnects — stops the loop where compression triggers, fails, compresses again ([#4750](https://github.com/NousResearch/hermes-agent/pull/4750), closes [#2153](https://github.com/NousResearch/hermes-agent/issues/2153))
- **Persist compressed context** to gateway session after mid-run compression ([#4095](https://github.com/NousResearch/hermes-agent/pull/4095))
- **Context-exceeded error messages** now include actionable guidance ([#4155](https://github.com/NousResearch/hermes-agent/pull/4155), closes [#4061](https://github.com/NousResearch/hermes-agent/issues/4061))
- **Strip orphaned think/reasoning tags** from user-facing responses ([#4311](https://github.com/NousResearch/hermes-agent/pull/4311), closes [#4285](https://github.com/NousResearch/hermes-agent/issues/4285))
- **Harden Codex responses preflight** and stream error handling ([#4313](https://github.com/NousResearch/hermes-agent/pull/4313))
- **Deterministic call_id fallbacks** instead of random UUIDs for prompt cache consistency ([#3991](https://github.com/NousResearch/hermes-agent/pull/3991))
- **Context pressure warning spam** prevented after compression ([#4012](https://github.com/NousResearch/hermes-agent/pull/4012))
- **AsyncOpenAI created lazily** in trajectory compressor to avoid closed event loop errors ([#4013](https://github.com/NousResearch/hermes-agent/pull/4013))
### Memory & Sessions
- **Pluggable memory provider interface** — ABC-based plugin system for custom memory backends with profile isolation ([#4623](https://github.com/NousResearch/hermes-agent/pull/4623))
- **Honcho full integration parity** restored as reference memory provider plugin ([#4355](https://github.com/NousResearch/hermes-agent/pull/4355)) — @erosika
- **Honcho profile-scoped** host and peer resolution ([#4616](https://github.com/NousResearch/hermes-agent/pull/4616))
- **Memory flush state persisted** to prevent redundant re-flushes on gateway restart ([#4481](https://github.com/NousResearch/hermes-agent/pull/4481))
- **Memory provider tools** routed through sequential execution path ([#4803](https://github.com/NousResearch/hermes-agent/pull/4803))
- **Honcho config** written to instance-local path for profile isolation ([#4037](https://github.com/NousResearch/hermes-agent/pull/4037))
- **API server sessions** persist to shared SessionDB ([#4802](https://github.com/NousResearch/hermes-agent/pull/4802))
- **Token usage persisted** for non-CLI sessions ([#4627](https://github.com/NousResearch/hermes-agent/pull/4627))
- **Quote dotted terms in FTS5 queries** — fixes session search for terms containing dots ([#4549](https://github.com/NousResearch/hermes-agent/pull/4549))
---
## 📱 Messaging Platforms (Gateway)
### Gateway Core
- **Race condition fixes** — photo media loss, flood control, stuck sessions, and STT config issues resolved in one hardening pass ([#4727](https://github.com/NousResearch/hermes-agent/pull/4727))
- **Approval routing through running-agent guard** — `/approve` and `/deny` now route correctly when the agent is blocked waiting for approval instead of being swallowed as interrupts ([#4798](https://github.com/NousResearch/hermes-agent/pull/4798), [#4557](https://github.com/NousResearch/hermes-agent/pull/4557), closes [#4542](https://github.com/NousResearch/hermes-agent/issues/4542))
- **Resume agent after /approve** — tool result is no longer lost when executing blocked commands ([#4418](https://github.com/NousResearch/hermes-agent/pull/4418))
- **DM thread sessions seeded** with parent transcript to preserve context ([#4559](https://github.com/NousResearch/hermes-agent/pull/4559))
- **Skill-aware slash commands** — gateway dynamically registers installed skills as slash commands with paginated `/commands` list and Telegram 100-command cap ([#3934](https://github.com/NousResearch/hermes-agent/pull/3934), [#4005](https://github.com/NousResearch/hermes-agent/pull/4005), [#4006](https://github.com/NousResearch/hermes-agent/pull/4006), [#4010](https://github.com/NousResearch/hermes-agent/pull/4010), [#4023](https://github.com/NousResearch/hermes-agent/pull/4023))
- **Per-platform disabled skills** respected in Telegram menu and gateway dispatch ([#4799](https://github.com/NousResearch/hermes-agent/pull/4799))
- **Remove user-facing compression warnings** — cleaner message flow ([#4139](https://github.com/NousResearch/hermes-agent/pull/4139))
- **`-v/-q` flags wired to stderr logging** for gateway service ([#4474](https://github.com/NousResearch/hermes-agent/pull/4474))
- **HERMES_HOME remapped** to target user in system service unit ([#4456](https://github.com/NousResearch/hermes-agent/pull/4456))
- **Honor default for invalid bool-like config values** ([#4029](https://github.com/NousResearch/hermes-agent/pull/4029))
- **setsid instead of systemd-run** for `/update` command to avoid systemd permission issues ([#4104](https://github.com/NousResearch/hermes-agent/pull/4104), closes [#4017](https://github.com/NousResearch/hermes-agent/issues/4017))
- **'Initializing agent...'** shown on first message for better UX ([#4086](https://github.com/NousResearch/hermes-agent/pull/4086))
- **Allow running gateway service as root** for LXC/container environments ([#4732](https://github.com/NousResearch/hermes-agent/pull/4732))
### Telegram
- **32-char limit on command names** with collision avoidance ([#4211](https://github.com/NousResearch/hermes-agent/pull/4211))
- **Priority order enforced** in menu — core > plugins > skills ([#4023](https://github.com/NousResearch/hermes-agent/pull/4023))
- **Capped at 50 commands** — API rejects above ~60 ([#4006](https://github.com/NousResearch/hermes-agent/pull/4006))
- **Skip empty/whitespace text** to prevent 400 errors ([#4388](https://github.com/NousResearch/hermes-agent/pull/4388))
- **E2E gateway tests** added ([#4497](https://github.com/NousResearch/hermes-agent/pull/4497)) — @pefontana
### Discord
- **Button-based approval UI** — register `/approve` and `/deny` slash commands with interactive button prompts ([#4800](https://github.com/NousResearch/hermes-agent/pull/4800))
- **Configurable reactions** — `discord.reactions` config option to disable message processing reactions ([#4199](https://github.com/NousResearch/hermes-agent/pull/4199))
- **Skip reactions and auto-threading** for unauthorized users ([#4387](https://github.com/NousResearch/hermes-agent/pull/4387))
### Slack
- **Reply in thread** — `slack.reply_in_thread` config option for threaded responses ([#4643](https://github.com/NousResearch/hermes-agent/pull/4643), closes [#2662](https://github.com/NousResearch/hermes-agent/issues/2662))
### WhatsApp
- **Enforce require_mention in group chats** ([#4730](https://github.com/NousResearch/hermes-agent/pull/4730))
### Webhook
- **Platform support fixes** — skip home channel prompt, disable tool progress for webhook adapters ([#4660](https://github.com/NousResearch/hermes-agent/pull/4660))
### Matrix
- **E2EE decryption hardening** — request missing keys, auto-trust devices, retry buffered events ([#4083](https://github.com/NousResearch/hermes-agent/pull/4083))
---
## 🖥️ CLI & User Experience
### New Slash Commands
- **`/yolo`** — toggle dangerous command approvals on/off for the session ([#3990](https://github.com/NousResearch/hermes-agent/pull/3990))
- **`/btw`** — ephemeral side questions that don't affect the main conversation context ([#4161](https://github.com/NousResearch/hermes-agent/pull/4161))
- **`/profile`** — show active profile info without leaving the chat session ([#4027](https://github.com/NousResearch/hermes-agent/pull/4027))
### Interactive CLI
- **Inline diff previews** for write and patch operations in the tool activity feed ([#4411](https://github.com/NousResearch/hermes-agent/pull/4411), [#4423](https://github.com/NousResearch/hermes-agent/pull/4423))
- **TUI pinned to bottom** on startup — no more large blank spaces between response and input ([#4412](https://github.com/NousResearch/hermes-agent/pull/4412), [#4359](https://github.com/NousResearch/hermes-agent/pull/4359), closes [#4398](https://github.com/NousResearch/hermes-agent/issues/4398), [#4421](https://github.com/NousResearch/hermes-agent/issues/4421))
- **`/history` and `/resume`** now surface recent sessions directly instead of requiring search ([#4728](https://github.com/NousResearch/hermes-agent/pull/4728))
- **Cache tokens shown** in `/insights` overview so total adds up ([#4428](https://github.com/NousResearch/hermes-agent/pull/4428))
- **`--max-turns` CLI flag** for `hermes chat` to limit agent iterations ([#4314](https://github.com/NousResearch/hermes-agent/pull/4314))
- **Detect dragged file paths** instead of treating them as slash commands ([#4533](https://github.com/NousResearch/hermes-agent/pull/4533)) — @rolme
- **Allow empty strings and falsy values** in `config set` ([#4310](https://github.com/NousResearch/hermes-agent/pull/4310), closes [#4277](https://github.com/NousResearch/hermes-agent/issues/4277))
- **Voice mode in WSL** when PulseAudio bridge is configured ([#4317](https://github.com/NousResearch/hermes-agent/pull/4317))
- **Respect `NO_COLOR` env var** and `TERM=dumb` for accessibility ([#4079](https://github.com/NousResearch/hermes-agent/pull/4079), closes [#4066](https://github.com/NousResearch/hermes-agent/issues/4066)) — @SHL0MS
- **Correct shell reload instruction** for macOS/zsh users ([#4025](https://github.com/NousResearch/hermes-agent/pull/4025))
- **Zero exit code** on successful quiet mode queries ([#4613](https://github.com/NousResearch/hermes-agent/pull/4613), closes [#4601](https://github.com/NousResearch/hermes-agent/issues/4601)) — @devorun
- **on_session_end hook fires** on interrupted exits ([#4159](https://github.com/NousResearch/hermes-agent/pull/4159))
- **Profile list display** reads `model.default` key correctly ([#4160](https://github.com/NousResearch/hermes-agent/pull/4160))
- **Browser and TTS** shown in reconfigure menu ([#4041](https://github.com/NousResearch/hermes-agent/pull/4041))
- **Web backend priority** detection simplified ([#4036](https://github.com/NousResearch/hermes-agent/pull/4036))
### Setup & Configuration
- **Allowed_users preserved** during setup and quiet unconfigured provider warnings ([#4551](https://github.com/NousResearch/hermes-agent/pull/4551)) — @kshitijk4poor
- **Save API key to model config** for custom endpoints ([#4202](https://github.com/NousResearch/hermes-agent/pull/4202), closes [#4182](https://github.com/NousResearch/hermes-agent/issues/4182))
- **Claude Code credentials gated** behind explicit Hermes config in wizard trigger ([#4210](https://github.com/NousResearch/hermes-agent/pull/4210))
- **Atomic writes in save_config_value** to prevent config loss on interrupt ([#4298](https://github.com/NousResearch/hermes-agent/pull/4298), [#4320](https://github.com/NousResearch/hermes-agent/pull/4320))
- **Scopes field written** to Claude Code credentials on token refresh ([#4126](https://github.com/NousResearch/hermes-agent/pull/4126))
### Update System
- **Fork detection and upstream sync** in `hermes update` ([#4744](https://github.com/NousResearch/hermes-agent/pull/4744))
- **Preserve working optional extras** when one extra fails during update ([#4550](https://github.com/NousResearch/hermes-agent/pull/4550))
- **Handle conflicted git index** during hermes update ([#4735](https://github.com/NousResearch/hermes-agent/pull/4735))
- **Avoid launchd restart race** on macOS ([#4736](https://github.com/NousResearch/hermes-agent/pull/4736))
- **Missing subprocess.run() timeouts** added to doctor and status commands ([#4009](https://github.com/NousResearch/hermes-agent/pull/4009))
---
## 🔧 Tool System
### Browser
- **Camofox anti-detection browser backend** — local stealth browsing with auto-install via `hermes tools` ([#4008](https://github.com/NousResearch/hermes-agent/pull/4008))
- **Persistent Camofox sessions** with VNC URL discovery for visual debugging ([#4419](https://github.com/NousResearch/hermes-agent/pull/4419))
- **Skip SSRF check for local backends** (Camofox, headless Chromium) ([#4292](https://github.com/NousResearch/hermes-agent/pull/4292))
- **Configurable SSRF check** via `browser.allow_private_urls` ([#4198](https://github.com/NousResearch/hermes-agent/pull/4198)) — @nils010485
- **CAMOFOX_PORT=9377** added to Docker commands ([#4340](https://github.com/NousResearch/hermes-agent/pull/4340))
### File Operations
- **Inline diff previews** on write and patch actions ([#4411](https://github.com/NousResearch/hermes-agent/pull/4411), [#4423](https://github.com/NousResearch/hermes-agent/pull/4423))
- **Stale file detection** on write and patch — warns when file was modified externally since last read ([#4345](https://github.com/NousResearch/hermes-agent/pull/4345))
- **Staleness timestamp refreshed** after writes ([#4390](https://github.com/NousResearch/hermes-agent/pull/4390))
- **Size guard, dedup, and device blocking** on read_file ([#4315](https://github.com/NousResearch/hermes-agent/pull/4315))
### MCP
- **Stability fix pack** — reload timeout, shutdown cleanup, event loop handler, OAuth non-blocking ([#4757](https://github.com/NousResearch/hermes-agent/pull/4757), closes [#4462](https://github.com/NousResearch/hermes-agent/issues/4462), [#2537](https://github.com/NousResearch/hermes-agent/issues/2537))
### ACP (Editor Integration)
- **Client-provided MCP servers** registered as agent tools — editors pass their MCP servers to Hermes ([#4705](https://github.com/NousResearch/hermes-agent/pull/4705))
### Skills System
- **Size limits for agent writes** and **fuzzy matching for skill patch** — prevents oversized skill writes and improves edit reliability ([#4414](https://github.com/NousResearch/hermes-agent/pull/4414))
- **Validate hub bundle paths** before install — blocks path traversal in skill bundles ([#3986](https://github.com/NousResearch/hermes-agent/pull/3986))
- **Unified hermes-agent and hermes-agent-setup** into single skill ([#4332](https://github.com/NousResearch/hermes-agent/pull/4332))
- **Skill metadata type check** in extract_skill_conditions ([#4479](https://github.com/NousResearch/hermes-agent/pull/4479))
### New/Updated Skills
- **research-paper-writing** — full end-to-end research pipeline (replaced ml-paper-writing) ([#4654](https://github.com/NousResearch/hermes-agent/pull/4654)) — @SHL0MS
- **ascii-video** — text readability techniques and external layout oracle ([#4054](https://github.com/NousResearch/hermes-agent/pull/4054)) — @SHL0MS
- **youtube-transcript** updated for youtube-transcript-api v1.x ([#4455](https://github.com/NousResearch/hermes-agent/pull/4455)) — @el-analista
- **Skills browse and search page** added to documentation site ([#4500](https://github.com/NousResearch/hermes-agent/pull/4500)) — @IAvecilla
---
## 🔒 Security & Reliability
### Security Hardening
- **Block secret exfiltration** via browser URLs and LLM responses — scans for secret patterns in URL encoding, base64, and prompt injection vectors ([#4483](https://github.com/NousResearch/hermes-agent/pull/4483))
- **Redact secrets from execute_code sandbox output** ([#4360](https://github.com/NousResearch/hermes-agent/pull/4360))
- **Protect `.docker`, `.azure`, `.config/gh` credential directories** from read/write via file tools and terminal ([#4305](https://github.com/NousResearch/hermes-agent/pull/4305), [#4327](https://github.com/NousResearch/hermes-agent/pull/4327)) — @memosr
- **GitHub OAuth token patterns** added to redaction + snapshot redact flag ([#4295](https://github.com/NousResearch/hermes-agent/pull/4295))
- **Reject private and loopback IPs** in Telegram DoH fallback ([#4129](https://github.com/NousResearch/hermes-agent/pull/4129))
- **Reject path traversal** in credential file registration ([#4316](https://github.com/NousResearch/hermes-agent/pull/4316))
- **Validate tar archive member paths** on profile import — blocks zip-slip attacks ([#4318](https://github.com/NousResearch/hermes-agent/pull/4318))
- **Exclude auth.json and .env** from profile exports ([#4475](https://github.com/NousResearch/hermes-agent/pull/4475))
### Reliability
- **Prevent compression death spiral** from API disconnects ([#4750](https://github.com/NousResearch/hermes-agent/pull/4750), closes [#2153](https://github.com/NousResearch/hermes-agent/issues/2153))
- **Handle `is_closed` as method** in OpenAI SDK — prevents false positive client closure detection ([#4416](https://github.com/NousResearch/hermes-agent/pull/4416), closes [#4377](https://github.com/NousResearch/hermes-agent/issues/4377))
- **Exclude matrix from [all] extras** — python-olm is upstream-broken, prevents install failures ([#4615](https://github.com/NousResearch/hermes-agent/pull/4615), closes [#4178](https://github.com/NousResearch/hermes-agent/issues/4178))
- **OpenCode model routing** repaired ([#4508](https://github.com/NousResearch/hermes-agent/pull/4508))
- **Docker container image** optimized ([#4034](https://github.com/NousResearch/hermes-agent/pull/4034)) — @bcross
### Windows & Cross-Platform
- **Voice mode in WSL** with PulseAudio bridge ([#4317](https://github.com/NousResearch/hermes-agent/pull/4317))
- **Homebrew packaging** preparation ([#4099](https://github.com/NousResearch/hermes-agent/pull/4099))
- **CI fork conditionals** to prevent workflow failures on forks ([#4107](https://github.com/NousResearch/hermes-agent/pull/4107))
---
## 🐛 Notable Bug Fixes
- **Gateway approval blocked agent thread** — approval now blocks the agent thread like CLI does, preventing tool result loss ([#4557](https://github.com/NousResearch/hermes-agent/pull/4557), closes [#4542](https://github.com/NousResearch/hermes-agent/issues/4542))
- **Compression death spiral** from API disconnects — detected and halted instead of looping ([#4750](https://github.com/NousResearch/hermes-agent/pull/4750), closes [#2153](https://github.com/NousResearch/hermes-agent/issues/2153))
- **Anthropic thinking blocks lost** across tool-use turns ([#4626](https://github.com/NousResearch/hermes-agent/pull/4626))
- **Profile model config ignored** with `-p` flag — model.model now promoted to model.default correctly ([#4160](https://github.com/NousResearch/hermes-agent/pull/4160), closes [#4486](https://github.com/NousResearch/hermes-agent/issues/4486))
- **CLI blank space** between response and input area ([#4412](https://github.com/NousResearch/hermes-agent/pull/4412), [#4359](https://github.com/NousResearch/hermes-agent/pull/4359), closes [#4398](https://github.com/NousResearch/hermes-agent/issues/4398))
- **Dragged file paths** treated as slash commands instead of file references ([#4533](https://github.com/NousResearch/hermes-agent/pull/4533)) — @rolme
- **Orphaned `</think>` tags** leaking into user-facing responses ([#4311](https://github.com/NousResearch/hermes-agent/pull/4311), closes [#4285](https://github.com/NousResearch/hermes-agent/issues/4285))
- **OpenAI SDK `is_closed`** is a method not property — false positive client closure ([#4416](https://github.com/NousResearch/hermes-agent/pull/4416), closes [#4377](https://github.com/NousResearch/hermes-agent/issues/4377))
- **MCP OAuth server** could block Hermes startup instead of degrading gracefully ([#4757](https://github.com/NousResearch/hermes-agent/pull/4757), closes [#4462](https://github.com/NousResearch/hermes-agent/issues/4462))
- **MCP event loop closed** on shutdown with HTTP servers ([#4757](https://github.com/NousResearch/hermes-agent/pull/4757), closes [#2537](https://github.com/NousResearch/hermes-agent/issues/2537))
- **Alibaba provider** hardcoded to wrong endpoint ([#4133](https://github.com/NousResearch/hermes-agent/pull/4133), closes [#3912](https://github.com/NousResearch/hermes-agent/issues/3912))
- **Slack reply_in_thread** missing config option ([#4643](https://github.com/NousResearch/hermes-agent/pull/4643), closes [#2662](https://github.com/NousResearch/hermes-agent/issues/2662))
- **Quiet mode exit code** — successful `-q` queries no longer exit nonzero ([#4613](https://github.com/NousResearch/hermes-agent/pull/4613), closes [#4601](https://github.com/NousResearch/hermes-agent/issues/4601))
- **Mobile sidebar** shows only close button due to backdrop-filter issue in docs site ([#4207](https://github.com/NousResearch/hermes-agent/pull/4207)) — @xsmyile
- **Config restore reverted** by stale-branch squash merge — `_config_version` fixed ([#4440](https://github.com/NousResearch/hermes-agent/pull/4440))
---
## 🧪 Testing
- **Telegram gateway E2E tests** — full integration test suite for the Telegram adapter ([#4497](https://github.com/NousResearch/hermes-agent/pull/4497)) — @pefontana
- **11 real test failures fixed** plus sys.modules cascade poisoner resolved ([#4570](https://github.com/NousResearch/hermes-agent/pull/4570))
- **7 CI failures resolved** across hooks, plugins, and skill tests ([#3936](https://github.com/NousResearch/hermes-agent/pull/3936))
- **Codex 401 refresh tests** updated for CI compatibility ([#4166](https://github.com/NousResearch/hermes-agent/pull/4166))
- **Stale OPENAI_BASE_URL test** fixed ([#4217](https://github.com/NousResearch/hermes-agent/pull/4217))
---
## 📚 Documentation
- **Comprehensive documentation audit** — 9 HIGH and 20+ MEDIUM gaps fixed across 21 files ([#4087](https://github.com/NousResearch/hermes-agent/pull/4087))
- **Site navigation restructured** — features and platforms promoted to top-level ([#4116](https://github.com/NousResearch/hermes-agent/pull/4116))
- **Tool progress streaming** documented for API server and Open WebUI ([#4138](https://github.com/NousResearch/hermes-agent/pull/4138))
- **Telegram webhook mode** documentation ([#4089](https://github.com/NousResearch/hermes-agent/pull/4089))
- **Local LLM provider guides** — comprehensive setup guides with context length warnings ([#4294](https://github.com/NousResearch/hermes-agent/pull/4294))
- **WhatsApp allowlist behavior** clarified with `WHATSAPP_ALLOW_ALL_USERS` documentation ([#4293](https://github.com/NousResearch/hermes-agent/pull/4293))
- **Slack configuration options** — new config section in Slack docs ([#4644](https://github.com/NousResearch/hermes-agent/pull/4644))
- **Terminal backends section** expanded + docs build fixes ([#4016](https://github.com/NousResearch/hermes-agent/pull/4016))
- **Adding-providers guide** updated for unified setup flow ([#4201](https://github.com/NousResearch/hermes-agent/pull/4201))
- **ACP Zed config** fixed ([#4743](https://github.com/NousResearch/hermes-agent/pull/4743))
- **Community FAQ** entries for common workflows and troubleshooting ([#4797](https://github.com/NousResearch/hermes-agent/pull/4797))
- **Skills browse and search page** on docs site ([#4500](https://github.com/NousResearch/hermes-agent/pull/4500)) — @IAvecilla
---
## 👥 Contributors
### Core
- **@teknium1** — 135 commits across all subsystems
### Top Community Contributors
- **@kshitijk4poor** — 13 commits: preserve allowed_users during setup ([#4551](https://github.com/NousResearch/hermes-agent/pull/4551)), and various fixes
- **@erosika** — 12 commits: Honcho full integration parity restored as memory provider plugin ([#4355](https://github.com/NousResearch/hermes-agent/pull/4355))
- **@pefontana** — 9 commits: Telegram gateway E2E test suite ([#4497](https://github.com/NousResearch/hermes-agent/pull/4497))
- **@bcross** — 5 commits: Docker container image optimization ([#4034](https://github.com/NousResearch/hermes-agent/pull/4034))
- **@SHL0MS** — 4 commits: NO_COLOR/TERM=dumb support ([#4079](https://github.com/NousResearch/hermes-agent/pull/4079)), ascii-video skill updates ([#4054](https://github.com/NousResearch/hermes-agent/pull/4054)), research-paper-writing skill ([#4654](https://github.com/NousResearch/hermes-agent/pull/4654))
### All Contributors
@0xbyt4, @arasovic, @Bartok9, @bcross, @binhnt92, @camden-lowrance, @curtitoo, @Dakota, @Dave Tist, @Dean Kerr, @devorun, @dieutx, @Dilee, @el-analista, @erosika, @Gutslabs, @IAvecilla, @Jack, @Johannnnn506, @kshitijk4poor, @Laura Batalha, @Leegenux, @Lume, @MacroAnarchy, @maymuneth, @memosr, @NexVeridian, @Nick, @nils010485, @pefontana, @Penov, @rolme, @SHL0MS, @txchen, @xsmyile
### Issues Resolved from Community
@acsezen ([#2537](https://github.com/NousResearch/hermes-agent/issues/2537)), @arasovic ([#4285](https://github.com/NousResearch/hermes-agent/issues/4285)), @camden-lowrance ([#4462](https://github.com/NousResearch/hermes-agent/issues/4462)), @devorun ([#4601](https://github.com/NousResearch/hermes-agent/issues/4601)), @eloklam ([#4486](https://github.com/NousResearch/hermes-agent/issues/4486)), @HenkDz ([#3719](https://github.com/NousResearch/hermes-agent/issues/3719)), @hypotyposis ([#2153](https://github.com/NousResearch/hermes-agent/issues/2153)), @kazamak ([#4178](https://github.com/NousResearch/hermes-agent/issues/4178)), @lstep ([#4366](https://github.com/NousResearch/hermes-agent/issues/4366)), @Mark-Lok ([#4542](https://github.com/NousResearch/hermes-agent/issues/4542)), @NoJster ([#4421](https://github.com/NousResearch/hermes-agent/issues/4421)), @patp ([#2662](https://github.com/NousResearch/hermes-agent/issues/2662)), @pr0n ([#4601](https://github.com/NousResearch/hermes-agent/issues/4601)), @saulmc ([#4377](https://github.com/NousResearch/hermes-agent/issues/4377)), @SHL0MS ([#4060](https://github.com/NousResearch/hermes-agent/issues/4060), [#4061](https://github.com/NousResearch/hermes-agent/issues/4061), [#4066](https://github.com/NousResearch/hermes-agent/issues/4066), [#4172](https://github.com/NousResearch/hermes-agent/issues/4172), [#4277](https://github.com/NousResearch/hermes-agent/issues/4277)), @Z-Mackintosh ([#4398](https://github.com/NousResearch/hermes-agent/issues/4398))
---
**Full Changelog**: [v2026.3.30...v2026.4.3](https://github.com/NousResearch/hermes-agent/compare/v2026.3.30...v2026.4.3)

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# 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)

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# Hermes Agent v0.9.0 (v2026.4.13)
**Release Date:** April 13, 2026
**Since v0.8.0:** 487 commits · 269 merged PRs · 167 resolved issues · 493 files changed · 63,281 insertions · 24 contributors
> The everywhere release — Hermes goes mobile with Termux/Android, adds iMessage and WeChat, ships Fast Mode for OpenAI and Anthropic, introduces background process monitoring, launches a local web dashboard for managing your agent, and delivers the deepest security hardening pass yet across 16 supported platforms.
---
## ✨ Highlights
- **Local Web Dashboard** — A new browser-based dashboard for managing your Hermes Agent locally. Configure settings, monitor sessions, browse skills, and manage your gateway — all from a clean web interface without touching config files or the terminal. The easiest way to get started with Hermes.
- **Fast Mode (`/fast`)** — Priority processing for OpenAI and Anthropic models. Toggle `/fast` to route through priority queues for significantly lower latency on supported models (GPT-5.4, Codex, Claude). Expands across all OpenAI Priority Processing models and Anthropic's fast tier. ([#6875](https://github.com/NousResearch/hermes-agent/pull/6875), [#6960](https://github.com/NousResearch/hermes-agent/pull/6960), [#7037](https://github.com/NousResearch/hermes-agent/pull/7037))
- **iMessage via BlueBubbles** — Full iMessage integration through BlueBubbles, bringing Hermes to Apple's messaging ecosystem. Auto-webhook registration, setup wizard integration, and crash resilience. ([#6437](https://github.com/NousResearch/hermes-agent/pull/6437), [#6460](https://github.com/NousResearch/hermes-agent/pull/6460), [#6494](https://github.com/NousResearch/hermes-agent/pull/6494))
- **WeChat (Weixin) & WeCom Callback Mode** — Native WeChat support via iLink Bot API and a new WeCom callback-mode adapter for self-built enterprise apps. Streaming cursor, media uploads, markdown link handling, and atomic state persistence. Hermes now covers the Chinese messaging ecosystem end-to-end. ([#7166](https://github.com/NousResearch/hermes-agent/pull/7166), [#7943](https://github.com/NousResearch/hermes-agent/pull/7943))
- **Termux / Android Support** — Run Hermes natively on Android via Termux. Adapted install paths, TUI optimizations for mobile screens, voice backend support, and the `/image` command work on-device. ([#6834](https://github.com/NousResearch/hermes-agent/pull/6834))
- **Background Process Monitoring (`watch_patterns`)** — Set patterns to watch for in background process output and get notified in real-time when they match. Monitor for errors, wait for specific events ("listening on port"), or watch build logs — all without polling. ([#7635](https://github.com/NousResearch/hermes-agent/pull/7635))
- **Native xAI & Xiaomi MiMo Providers** — First-class provider support for xAI (Grok) and Xiaomi MiMo, with direct API access, model catalogs, and setup wizard integration. Plus Qwen OAuth with portal request support. ([#7372](https://github.com/NousResearch/hermes-agent/pull/7372), [#7855](https://github.com/NousResearch/hermes-agent/pull/7855))
- **Pluggable Context Engine** — Context management is now a pluggable slot via `hermes plugins`. Swap in custom context engines that control what the agent sees each turn — filtering, summarization, or domain-specific context injection. ([#7464](https://github.com/NousResearch/hermes-agent/pull/7464))
- **Unified Proxy Support** — SOCKS proxy, `DISCORD_PROXY`, and system proxy auto-detection across all gateway platforms. Hermes behind corporate firewalls just works. ([#6814](https://github.com/NousResearch/hermes-agent/pull/6814))
- **Comprehensive Security Hardening** — Path traversal protection in checkpoint manager, shell injection neutralization in sandbox writes, SSRF redirect guards in Slack image uploads, Twilio webhook signature validation (SMS RCE fix), API server auth enforcement, git argument injection prevention, and approval button authorization. ([#7933](https://github.com/NousResearch/hermes-agent/pull/7933), [#7944](https://github.com/NousResearch/hermes-agent/pull/7944), [#7940](https://github.com/NousResearch/hermes-agent/pull/7940), [#7151](https://github.com/NousResearch/hermes-agent/pull/7151), [#7156](https://github.com/NousResearch/hermes-agent/pull/7156))
- **`hermes backup` & `hermes import`** — Full backup and restore of your Hermes configuration, sessions, skills, and memory. Migrate between machines or create snapshots before major changes. ([#7997](https://github.com/NousResearch/hermes-agent/pull/7997))
- **16 Supported Platforms** — With BlueBubbles (iMessage) and WeChat joining Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, SMS, DingTalk, Feishu, WeCom, Mattermost, Home Assistant, and Webhooks, Hermes now runs on 16 messaging platforms out of the box.
- **`/debug` & `hermes debug share`** — New debugging toolkit: `/debug` slash command across all platforms for quick diagnostics, plus `hermes debug share` to upload a full debug report to a pastebin for easy sharing when troubleshooting. ([#8681](https://github.com/NousResearch/hermes-agent/pull/8681))
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- **Native xAI (Grok) provider** with direct API access and model catalog ([#7372](https://github.com/NousResearch/hermes-agent/pull/7372))
- **Xiaomi MiMo as first-class provider** — setup wizard, model catalog, empty response recovery ([#7855](https://github.com/NousResearch/hermes-agent/pull/7855))
- **Qwen OAuth provider** with portal request support ([#6282](https://github.com/NousResearch/hermes-agent/pull/6282))
- **Fast Mode** — `/fast` toggle for OpenAI Priority Processing + Anthropic fast tier ([#6875](https://github.com/NousResearch/hermes-agent/pull/6875), [#6960](https://github.com/NousResearch/hermes-agent/pull/6960), [#7037](https://github.com/NousResearch/hermes-agent/pull/7037))
- **Structured API error classification** for smart failover decisions ([#6514](https://github.com/NousResearch/hermes-agent/pull/6514))
- **Rate limit header capture** shown in `/usage` ([#6541](https://github.com/NousResearch/hermes-agent/pull/6541))
- **API server model name** derived from profile name ([#6857](https://github.com/NousResearch/hermes-agent/pull/6857))
- **Custom providers** now included in `/model` listings and resolution ([#7088](https://github.com/NousResearch/hermes-agent/pull/7088))
- **Fallback provider activation** on repeated empty responses with user-visible status ([#7505](https://github.com/NousResearch/hermes-agent/pull/7505))
- **OpenRouter variant tags** (`:free`, `:extended`, `:fast`) preserved during model switch ([#6383](https://github.com/NousResearch/hermes-agent/pull/6383))
- **Credential exhaustion TTL** reduced from 24 hours to 1 hour ([#6504](https://github.com/NousResearch/hermes-agent/pull/6504))
- **OAuth credential lifecycle** hardening — stale pool keys, auth.json sync, Codex CLI race fixes ([#6874](https://github.com/NousResearch/hermes-agent/pull/6874))
- Empty response recovery for reasoning models (MiMo, Qwen, GLM) ([#8609](https://github.com/NousResearch/hermes-agent/pull/8609))
- MiniMax context lengths, thinking guard, endpoint corrections ([#6082](https://github.com/NousResearch/hermes-agent/pull/6082), [#7126](https://github.com/NousResearch/hermes-agent/pull/7126))
- Z.AI endpoint auto-detect via probe and cache ([#5763](https://github.com/NousResearch/hermes-agent/pull/5763))
### Agent Loop & Conversation
- **Pluggable context engine slot** via `hermes plugins` ([#7464](https://github.com/NousResearch/hermes-agent/pull/7464))
- **Background process monitoring** — `watch_patterns` for real-time output alerts ([#7635](https://github.com/NousResearch/hermes-agent/pull/7635))
- **Improved context compression** — higher limits, tool tracking, degradation warnings, token-budget tail protection ([#6395](https://github.com/NousResearch/hermes-agent/pull/6395), [#6453](https://github.com/NousResearch/hermes-agent/pull/6453))
- **`/compress <focus>`** — guided compression with a focus topic ([#8017](https://github.com/NousResearch/hermes-agent/pull/8017))
- **Tiered context pressure warnings** with gateway dedup ([#6411](https://github.com/NousResearch/hermes-agent/pull/6411))
- **Staged inactivity warning** before timeout escalation ([#6387](https://github.com/NousResearch/hermes-agent/pull/6387))
- **Prevent agent from stopping mid-task** — compression floor, budget overhaul, activity tracking ([#7983](https://github.com/NousResearch/hermes-agent/pull/7983))
- **Propagate child activity to parent** during `delegate_task` ([#7295](https://github.com/NousResearch/hermes-agent/pull/7295))
- **Truncated streaming tool call detection** before execution ([#6847](https://github.com/NousResearch/hermes-agent/pull/6847))
- Empty response retry (3 attempts with nudge) ([#6488](https://github.com/NousResearch/hermes-agent/pull/6488))
- Adaptive streaming backoff + cursor strip to prevent message truncation ([#7683](https://github.com/NousResearch/hermes-agent/pull/7683))
- Compression uses live session model instead of stale persisted config ([#8258](https://github.com/NousResearch/hermes-agent/pull/8258))
- Strip `<thought>` tags from Gemma 4 responses ([#8562](https://github.com/NousResearch/hermes-agent/pull/8562))
- Prevent `<think>` in prose from suppressing response output ([#6968](https://github.com/NousResearch/hermes-agent/pull/6968))
- Turn-exit diagnostic logging to agent loop ([#6549](https://github.com/NousResearch/hermes-agent/pull/6549))
- Scope tool interrupt signal per-thread to prevent cross-session leaks ([#7930](https://github.com/NousResearch/hermes-agent/pull/7930))
### Memory & Sessions
- **Hindsight memory plugin** — feature parity, setup wizard, config improvements — @nicoloboschi ([#6428](https://github.com/NousResearch/hermes-agent/pull/6428))
- **Honcho** — opt-in `initOnSessionStart` for tools mode — @Kathie-yu ([#6995](https://github.com/NousResearch/hermes-agent/pull/6995))
- Orphan children instead of cascade-deleting in prune/delete ([#6513](https://github.com/NousResearch/hermes-agent/pull/6513))
- Doctor command only checks the active memory provider ([#6285](https://github.com/NousResearch/hermes-agent/pull/6285))
---
## 📱 Messaging Platforms (Gateway)
### New Platforms
- **BlueBubbles (iMessage)** — full adapter with auto-webhook registration, setup wizard, and crash resilience ([#6437](https://github.com/NousResearch/hermes-agent/pull/6437), [#6460](https://github.com/NousResearch/hermes-agent/pull/6460), [#6494](https://github.com/NousResearch/hermes-agent/pull/6494), [#7107](https://github.com/NousResearch/hermes-agent/pull/7107))
- **Weixin (WeChat)** — native support via iLink Bot API with streaming, media uploads, markdown links ([#7166](https://github.com/NousResearch/hermes-agent/pull/7166), [#8665](https://github.com/NousResearch/hermes-agent/pull/8665))
- **WeCom Callback Mode** — self-built enterprise app adapter with atomic state persistence ([#7943](https://github.com/NousResearch/hermes-agent/pull/7943), [#7928](https://github.com/NousResearch/hermes-agent/pull/7928))
### Discord
- **Allowed channels whitelist** config — @jarvis-phw ([#7044](https://github.com/NousResearch/hermes-agent/pull/7044))
- **Forum channel topic inheritance** in thread sessions — @hermes-agent-dhabibi ([#6377](https://github.com/NousResearch/hermes-agent/pull/6377))
- **DISCORD_REPLY_TO_MODE** setting ([#6333](https://github.com/NousResearch/hermes-agent/pull/6333))
- Accept `.log` attachments, raise document size limit — @kira-ariaki ([#6467](https://github.com/NousResearch/hermes-agent/pull/6467))
- Decouple readiness from slash sync ([#8016](https://github.com/NousResearch/hermes-agent/pull/8016))
### Slack
- **Consolidated Slack improvements** — 7 community PRs salvaged into one ([#6809](https://github.com/NousResearch/hermes-agent/pull/6809))
- Handle assistant thread lifecycle events ([#6433](https://github.com/NousResearch/hermes-agent/pull/6433))
### Matrix
- **Migrated from matrix-nio to mautrix-python** ([#7518](https://github.com/NousResearch/hermes-agent/pull/7518))
- SQLite crypto store replacing pickle (fixes E2EE decryption) — @alt-glitch ([#7981](https://github.com/NousResearch/hermes-agent/pull/7981))
- Cross-signing recovery key verification for E2EE migration ([#8282](https://github.com/NousResearch/hermes-agent/pull/8282))
- DM mention threads + group chat events for Feishu ([#7423](https://github.com/NousResearch/hermes-agent/pull/7423))
### Gateway Core
- **Unified proxy support** — SOCKS, DISCORD_PROXY, multi-platform with macOS auto-detection ([#6814](https://github.com/NousResearch/hermes-agent/pull/6814))
- **Inbound text batching** for Discord, Matrix, WeCom + adaptive delay ([#6979](https://github.com/NousResearch/hermes-agent/pull/6979))
- **Surface natural mid-turn assistant messages** in chat platforms ([#7978](https://github.com/NousResearch/hermes-agent/pull/7978))
- **WSL-aware gateway** with smart systemd detection ([#7510](https://github.com/NousResearch/hermes-agent/pull/7510))
- **All missing platforms added to setup wizard** ([#7949](https://github.com/NousResearch/hermes-agent/pull/7949))
- **Per-platform `tool_progress` overrides** ([#6348](https://github.com/NousResearch/hermes-agent/pull/6348))
- **Configurable 'still working' notification interval** ([#8572](https://github.com/NousResearch/hermes-agent/pull/8572))
- `/model` switch persists across messages ([#7081](https://github.com/NousResearch/hermes-agent/pull/7081))
- `/usage` shows rate limits, cost, and token details between turns ([#7038](https://github.com/NousResearch/hermes-agent/pull/7038))
- Drain in-flight work before restart ([#7503](https://github.com/NousResearch/hermes-agent/pull/7503))
- Don't evict cached agent on failed runs — prevents MCP restart loop ([#7539](https://github.com/NousResearch/hermes-agent/pull/7539))
- Replace `os.environ` session state with `contextvars` ([#7454](https://github.com/NousResearch/hermes-agent/pull/7454))
- Derive channel directory platforms from enum instead of hardcoded list ([#7450](https://github.com/NousResearch/hermes-agent/pull/7450))
- Validate image downloads before caching (cross-platform) ([#7125](https://github.com/NousResearch/hermes-agent/pull/7125))
- Cross-platform webhook delivery for all platforms ([#7095](https://github.com/NousResearch/hermes-agent/pull/7095))
- Cron Discord thread_id delivery support ([#7106](https://github.com/NousResearch/hermes-agent/pull/7106))
- Feishu QR-based bot onboarding ([#8570](https://github.com/NousResearch/hermes-agent/pull/8570))
- Gateway status scoped to active profile ([#7951](https://github.com/NousResearch/hermes-agent/pull/7951))
- Prevent background process notifications from triggering false pairing requests ([#6434](https://github.com/NousResearch/hermes-agent/pull/6434))
---
## 🖥️ CLI & User Experience
### Interactive CLI
- **Termux / Android support** — adapted install paths, TUI, voice, `/image` ([#6834](https://github.com/NousResearch/hermes-agent/pull/6834))
- **Native `/model` picker modal** for provider → model selection ([#8003](https://github.com/NousResearch/hermes-agent/pull/8003))
- **Live per-tool elapsed timer** restored in TUI spinner ([#7359](https://github.com/NousResearch/hermes-agent/pull/7359))
- **Stacked tool progress scrollback** in TUI ([#8201](https://github.com/NousResearch/hermes-agent/pull/8201))
- **Random tips on new session start** (CLI + gateway, 279 tips) ([#8225](https://github.com/NousResearch/hermes-agent/pull/8225), [#8237](https://github.com/NousResearch/hermes-agent/pull/8237))
- **`hermes dump`** — copy-pasteable setup summary for debugging ([#6550](https://github.com/NousResearch/hermes-agent/pull/6550))
- **`hermes backup` / `hermes import`** — full config backup and restore ([#7997](https://github.com/NousResearch/hermes-agent/pull/7997))
- **WSL environment hint** in system prompt ([#8285](https://github.com/NousResearch/hermes-agent/pull/8285))
- **Profile creation UX** — seed SOUL.md + credential warning ([#8553](https://github.com/NousResearch/hermes-agent/pull/8553))
- Shell-aware sudo detection, empty password support ([#6517](https://github.com/NousResearch/hermes-agent/pull/6517))
- Flush stdin after curses/terminal menus to prevent escape sequence leakage ([#7167](https://github.com/NousResearch/hermes-agent/pull/7167))
- Handle broken stdin in prompt_toolkit startup ([#8560](https://github.com/NousResearch/hermes-agent/pull/8560))
### Setup & Configuration
- **Per-platform display verbosity** configuration ([#8006](https://github.com/NousResearch/hermes-agent/pull/8006))
- **Component-separated logging** with session context and filtering ([#7991](https://github.com/NousResearch/hermes-agent/pull/7991))
- **`network.force_ipv4`** config to fix IPv6 timeout issues ([#8196](https://github.com/NousResearch/hermes-agent/pull/8196))
- **Standardize message whitespace and JSON formatting** ([#7988](https://github.com/NousResearch/hermes-agent/pull/7988))
- **Rebrand OpenClaw → Hermes** during migration ([#8210](https://github.com/NousResearch/hermes-agent/pull/8210))
- Config.yaml takes priority over env vars for auxiliary settings ([#7889](https://github.com/NousResearch/hermes-agent/pull/7889))
- Harden setup provider flows + live OpenRouter catalog refresh ([#7078](https://github.com/NousResearch/hermes-agent/pull/7078))
- Normalize reasoning effort ordering across all surfaces ([#6804](https://github.com/NousResearch/hermes-agent/pull/6804))
- Remove dead `LLM_MODEL` env var + migration to clear stale entries ([#6543](https://github.com/NousResearch/hermes-agent/pull/6543))
- Remove `/prompt` slash command — prefix expansion footgun ([#6752](https://github.com/NousResearch/hermes-agent/pull/6752))
- `HERMES_HOME_MODE` env var to override permissions — @ygd58 ([#6993](https://github.com/NousResearch/hermes-agent/pull/6993))
- Fall back to default model when model config is empty ([#8303](https://github.com/NousResearch/hermes-agent/pull/8303))
- Warn when compression model context is too small ([#7894](https://github.com/NousResearch/hermes-agent/pull/7894))
---
## 🔧 Tool System
### Environments & Execution
- **Unified spawn-per-call execution layer** for environments ([#6343](https://github.com/NousResearch/hermes-agent/pull/6343))
- **Unified file sync** with mtime tracking, deletion, and transactional state ([#7087](https://github.com/NousResearch/hermes-agent/pull/7087))
- **Persistent sandbox envs** survive between turns ([#6412](https://github.com/NousResearch/hermes-agent/pull/6412))
- **Bulk file sync** via tar pipe for SSH/Modal backends — @alt-glitch ([#8014](https://github.com/NousResearch/hermes-agent/pull/8014))
- **Daytona** — bulk upload, config bridge, silent disk cap ([#7538](https://github.com/NousResearch/hermes-agent/pull/7538))
- Foreground timeout cap to prevent session deadlocks ([#7082](https://github.com/NousResearch/hermes-agent/pull/7082))
- Guard invalid command values ([#6417](https://github.com/NousResearch/hermes-agent/pull/6417))
### MCP
- **`hermes mcp add --env` and `--preset`** support ([#7970](https://github.com/NousResearch/hermes-agent/pull/7970))
- Combine `content` and `structuredContent` when both present ([#7118](https://github.com/NousResearch/hermes-agent/pull/7118))
- MCP tool name deconfliction fixes ([#7654](https://github.com/NousResearch/hermes-agent/pull/7654))
### Browser
- Browser hardening — dead code removal, caching, scroll perf, security, thread safety ([#7354](https://github.com/NousResearch/hermes-agent/pull/7354))
- `/browser connect` auto-launch uses dedicated Chrome profile dir ([#6821](https://github.com/NousResearch/hermes-agent/pull/6821))
- Reap orphaned browser sessions on startup ([#7931](https://github.com/NousResearch/hermes-agent/pull/7931))
### Voice & Vision
- **Voxtral TTS provider** (Mistral AI) ([#7653](https://github.com/NousResearch/hermes-agent/pull/7653))
- **TTS speed support** for Edge TTS, OpenAI TTS, MiniMax ([#8666](https://github.com/NousResearch/hermes-agent/pull/8666))
- **Vision auto-resize** for oversized images, raise limit to 20 MB, retry-on-failure ([#7883](https://github.com/NousResearch/hermes-agent/pull/7883), [#7902](https://github.com/NousResearch/hermes-agent/pull/7902))
- STT provider-model mismatch fix (whisper-1 vs faster-whisper) ([#7113](https://github.com/NousResearch/hermes-agent/pull/7113))
### Other Tools
- **`hermes dump`** command for setup summary ([#6550](https://github.com/NousResearch/hermes-agent/pull/6550))
- TODO store enforces ID uniqueness during replace operations ([#7986](https://github.com/NousResearch/hermes-agent/pull/7986))
- List all available toolsets in `delegate_task` schema description ([#8231](https://github.com/NousResearch/hermes-agent/pull/8231))
- API server: tool progress as custom SSE event to prevent model corruption ([#7500](https://github.com/NousResearch/hermes-agent/pull/7500))
- API server: share one Docker container across all conversations ([#7127](https://github.com/NousResearch/hermes-agent/pull/7127))
---
## 🧩 Skills Ecosystem
- **Centralized skills index + tree cache** — eliminates rate-limit failures on install ([#8575](https://github.com/NousResearch/hermes-agent/pull/8575))
- **More aggressive skill loading instructions** in system prompt (v3) ([#8209](https://github.com/NousResearch/hermes-agent/pull/8209), [#8286](https://github.com/NousResearch/hermes-agent/pull/8286))
- **Google Workspace skill** migrated to GWS CLI backend ([#6788](https://github.com/NousResearch/hermes-agent/pull/6788))
- **Creative divergence strategies** skill — @SHL0MS ([#6882](https://github.com/NousResearch/hermes-agent/pull/6882))
- **Creative ideation** — constraint-driven project generation — @SHL0MS ([#7555](https://github.com/NousResearch/hermes-agent/pull/7555))
- Parallelize skills browse/search to prevent hanging ([#7301](https://github.com/NousResearch/hermes-agent/pull/7301))
- Read name from SKILL.md frontmatter in skills_sync ([#7623](https://github.com/NousResearch/hermes-agent/pull/7623))
---
## 🔒 Security & Reliability
### Security Hardening
- **Twilio webhook signature validation** — SMS RCE fix ([#7933](https://github.com/NousResearch/hermes-agent/pull/7933))
- **Shell injection neutralization** in `_write_to_sandbox` via path quoting ([#7940](https://github.com/NousResearch/hermes-agent/pull/7940))
- **Git argument injection** and path traversal prevention in checkpoint manager ([#7944](https://github.com/NousResearch/hermes-agent/pull/7944))
- **SSRF redirect bypass** in Slack image uploads + base.py cache helpers ([#7151](https://github.com/NousResearch/hermes-agent/pull/7151))
- **Path traversal, credential gate, DANGEROUS_PATTERNS gaps** ([#7156](https://github.com/NousResearch/hermes-agent/pull/7156))
- **API bind guard** — enforce `API_SERVER_KEY` for non-loopback binding ([#7455](https://github.com/NousResearch/hermes-agent/pull/7455))
- **Approval button authorization** — require auth for session continuation — @Cafexss ([#6930](https://github.com/NousResearch/hermes-agent/pull/6930))
- Path boundary enforcement in skill manager operations ([#7156](https://github.com/NousResearch/hermes-agent/pull/7156))
- DingTalk/API webhook URL origin validation, header injection rejection ([#7455](https://github.com/NousResearch/hermes-agent/pull/7455))
### Reliability
- **Contextual error diagnostics** for invalid API responses ([#8565](https://github.com/NousResearch/hermes-agent/pull/8565))
- **Prevent 400 format errors** from triggering compression loop on Codex ([#6751](https://github.com/NousResearch/hermes-agent/pull/6751))
- **Don't halve context_length** on output-cap-too-large errors — @KUSH42 ([#6664](https://github.com/NousResearch/hermes-agent/pull/6664))
- **Recover primary client** on OpenAI transport errors ([#7108](https://github.com/NousResearch/hermes-agent/pull/7108))
- **Credential pool rotation** on billing-classified 400s ([#7112](https://github.com/NousResearch/hermes-agent/pull/7112))
- **Auto-increase stream read timeout** for local LLM providers ([#6967](https://github.com/NousResearch/hermes-agent/pull/6967))
- **Fall back to default certs** when CA bundle path doesn't exist ([#7352](https://github.com/NousResearch/hermes-agent/pull/7352))
- **Disambiguate usage-limit patterns** in error classifier — @sprmn24 ([#6836](https://github.com/NousResearch/hermes-agent/pull/6836))
- Harden cron script timeout and provider recovery ([#7079](https://github.com/NousResearch/hermes-agent/pull/7079))
- Gateway interrupt detection resilient to monitor task failures ([#8208](https://github.com/NousResearch/hermes-agent/pull/8208))
- Prevent unwanted session auto-reset after graceful gateway restarts ([#8299](https://github.com/NousResearch/hermes-agent/pull/8299))
- Prevent duplicate update prompt spam in gateway watcher ([#8343](https://github.com/NousResearch/hermes-agent/pull/8343))
- Deduplicate reasoning items in Responses API input ([#7946](https://github.com/NousResearch/hermes-agent/pull/7946))
### Infrastructure
- **Multi-arch Docker image** — amd64 + arm64 ([#6124](https://github.com/NousResearch/hermes-agent/pull/6124))
- **Docker runs as non-root user** with virtualenv — @benbarclay contributing ([#8226](https://github.com/NousResearch/hermes-agent/pull/8226))
- **Use `uv`** for Docker dependency resolution to fix resolution-too-deep ([#6965](https://github.com/NousResearch/hermes-agent/pull/6965))
- **Container-aware Nix CLI** — auto-route into managed container — @alt-glitch ([#7543](https://github.com/NousResearch/hermes-agent/pull/7543))
- **Nix shared-state permission model** for interactive CLI users — @alt-glitch ([#6796](https://github.com/NousResearch/hermes-agent/pull/6796))
- **Per-profile subprocess HOME isolation** ([#7357](https://github.com/NousResearch/hermes-agent/pull/7357))
- Profile paths fixed in Docker — profiles go to mounted volume ([#7170](https://github.com/NousResearch/hermes-agent/pull/7170))
- Docker container gateway pathway hardened ([#8614](https://github.com/NousResearch/hermes-agent/pull/8614))
- Enable unbuffered stdout for live Docker logs ([#6749](https://github.com/NousResearch/hermes-agent/pull/6749))
- Install procps in Docker image — @HiddenPuppy ([#7032](https://github.com/NousResearch/hermes-agent/pull/7032))
- Shallow git clone for faster installation — @sosyz ([#8396](https://github.com/NousResearch/hermes-agent/pull/8396))
- `hermes update` always reset on stash conflict ([#7010](https://github.com/NousResearch/hermes-agent/pull/7010))
- Write update exit code before gateway restart (cgroup kill race) ([#8288](https://github.com/NousResearch/hermes-agent/pull/8288))
- Nix: `setupSecrets` optional, tirith runtime dep — @devorun, @ethernet8023 ([#6261](https://github.com/NousResearch/hermes-agent/pull/6261), [#6721](https://github.com/NousResearch/hermes-agent/pull/6721))
- launchd stop uses `bootout` so `KeepAlive` doesn't respawn ([#7119](https://github.com/NousResearch/hermes-agent/pull/7119))
---
## 🐛 Notable Bug Fixes
- Fix: `/model` switch not persisting across gateway messages ([#7081](https://github.com/NousResearch/hermes-agent/pull/7081))
- Fix: session-scoped gateway model overrides ignored — @Hygaard ([#7662](https://github.com/NousResearch/hermes-agent/pull/7662))
- Fix: compaction model context length ignoring config — 3 related issues ([#8258](https://github.com/NousResearch/hermes-agent/pull/8258), [#8107](https://github.com/NousResearch/hermes-agent/pull/8107))
- Fix: OpenCode.ai context window resolved to 128K instead of 1M ([#6472](https://github.com/NousResearch/hermes-agent/pull/6472))
- Fix: Codex fallback auth-store lookup — @cherifya ([#6462](https://github.com/NousResearch/hermes-agent/pull/6462))
- Fix: duplicate completion notifications when process killed ([#7124](https://github.com/NousResearch/hermes-agent/pull/7124))
- Fix: agent daemon thread prevents orphan CLI processes on tab close ([#8557](https://github.com/NousResearch/hermes-agent/pull/8557))
- Fix: stale image attachment on text paste and voice input ([#7077](https://github.com/NousResearch/hermes-agent/pull/7077))
- Fix: DM thread session seeding causing cross-thread contamination ([#7084](https://github.com/NousResearch/hermes-agent/pull/7084))
- Fix: OpenClaw migration shows dry-run preview before executing ([#6769](https://github.com/NousResearch/hermes-agent/pull/6769))
- Fix: auth errors misclassified as retryable — @kuishou68 ([#7027](https://github.com/NousResearch/hermes-agent/pull/7027))
- Fix: Copilot-Integration-Id header missing ([#7083](https://github.com/NousResearch/hermes-agent/pull/7083))
- Fix: ACP session capabilities — @luyao618 ([#6985](https://github.com/NousResearch/hermes-agent/pull/6985))
- Fix: ACP PromptResponse usage from top-level fields ([#7086](https://github.com/NousResearch/hermes-agent/pull/7086))
- Fix: several failing/flaky tests on main — @dsocolobsky ([#6777](https://github.com/NousResearch/hermes-agent/pull/6777))
- Fix: backup marker filenames — @sprmn24 ([#8600](https://github.com/NousResearch/hermes-agent/pull/8600))
- Fix: `NoneType` in fast_mode check — @0xbyt4 ([#7350](https://github.com/NousResearch/hermes-agent/pull/7350))
- Fix: missing imports in uninstall.py — @JiayuuWang ([#7034](https://github.com/NousResearch/hermes-agent/pull/7034))
---
## 📚 Documentation
- Platform adapter developer guide + WeCom Callback docs ([#7969](https://github.com/NousResearch/hermes-agent/pull/7969))
- Cron troubleshooting guide ([#7122](https://github.com/NousResearch/hermes-agent/pull/7122))
- Streaming timeout auto-detection for local LLMs ([#6990](https://github.com/NousResearch/hermes-agent/pull/6990))
- Tool-use enforcement documentation expanded ([#7984](https://github.com/NousResearch/hermes-agent/pull/7984))
- BlueBubbles pairing instructions ([#6548](https://github.com/NousResearch/hermes-agent/pull/6548))
- Telegram proxy support section ([#6348](https://github.com/NousResearch/hermes-agent/pull/6348))
- `hermes dump` and `hermes logs` CLI reference ([#6552](https://github.com/NousResearch/hermes-agent/pull/6552))
- `tool_progress_overrides` configuration reference ([#6364](https://github.com/NousResearch/hermes-agent/pull/6364))
- Compression model context length warning docs ([#7879](https://github.com/NousResearch/hermes-agent/pull/7879))
---
## 👥 Contributors
**269 merged PRs** from **24 contributors** across **487 commits**.
### Community Contributors
- **@alt-glitch** (6 PRs) — Nix container-aware CLI, shared-state permissions, Matrix SQLite crypto store, bulk SSH/Modal file sync, Matrix mautrix compat
- **@SHL0MS** (2 PRs) — Creative divergence strategies skill, creative ideation skill
- **@sprmn24** (2 PRs) — Error classifier disambiguation, backup marker fix
- **@nicoloboschi** — Hindsight memory plugin feature parity
- **@Hygaard** — Session-scoped gateway model override fix
- **@jarvis-phw** — Discord allowed_channels whitelist
- **@Kathie-yu** — Honcho initOnSessionStart for tools mode
- **@hermes-agent-dhabibi** — Discord forum channel topic inheritance
- **@kira-ariaki** — Discord .log attachments and size limit
- **@cherifya** — Codex fallback auth-store lookup
- **@Cafexss** — Security: auth for session continuation
- **@KUSH42** — Compaction context_length fix
- **@kuishou68** — Auth error retryable classification fix
- **@luyao618** — ACP session capabilities
- **@ygd58** — HERMES_HOME_MODE env var override
- **@0xbyt4** — Fast mode NoneType fix
- **@JiayuuWang** — CLI uninstall import fix
- **@HiddenPuppy** — Docker procps installation
- **@dsocolobsky** — Test suite fixes
- **@bobashopcashier** (1 PR) — Graceful gateway drain before restart (salvaged into #7503 from #7290)
- **@benbarclay** — Docker image tag simplification
- **@sosyz** — Shallow git clone for faster install
- **@devorun** — Nix setupSecrets optional
- **@ethernet8023** — Nix tirith runtime dep
---
**Full Changelog**: [v2026.4.8...v2026.4.13](https://github.com/NousResearch/hermes-agent/compare/v2026.4.8...v2026.4.13)

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@@ -1,84 +0,0 @@
# Hermes Agent Security Policy
This document outlines the security protocols, trust model, and deployment hardening guidelines for the **Hermes Agent** project.
## 1. Vulnerability Reporting
Hermes Agent does **not** operate a bug bounty program. Security issues should be reported via [GitHub Security Advisories (GHSA)](https://github.com/NousResearch/hermes-agent/security/advisories/new) or by emailing **security@nousresearch.com**. Do not open public issues for security vulnerabilities.
### Required Submission Details
- **Title & Severity:** Concise description and CVSS score/rating.
- **Affected Component:** Exact file path and line range (e.g., `tools/approval.py:120-145`).
- **Environment:** Output of `hermes version`, commit SHA, OS, and Python version.
- **Reproduction:** Step-by-step Proof-of-Concept (PoC) against `main` or the latest release.
- **Impact:** Explanation of what trust boundary was crossed.
---
## 2. Trust Model
The core assumption is that Hermes is a **personal agent** with one trusted operator.
### Operator & Session Trust
- **Single Tenant:** The system protects the operator from LLM actions, not from malicious co-tenants. Multi-user isolation must happen at the OS/host level.
- **Gateway Security:** Authorized callers (Telegram, Discord, Slack, etc.) receive equal trust. Session keys are used for routing, not as authorization boundaries.
- **Execution:** Defaults to `terminal.backend: local` (direct host execution). Container isolation (Docker, Modal, Daytona) is opt-in for sandboxing.
### Dangerous Command Approval
The approval system (`tools/approval.py`) is a core security boundary. Terminal commands, file operations, and other potentially destructive actions are gated behind explicit user confirmation before execution. The approval mode is configurable via `approvals.mode` in `config.yaml`:
- `"on"` (default) — prompts the user to approve dangerous commands.
- `"auto"` — auto-approves after a configurable delay.
- `"off"` — disables the gate entirely (break-glass; see Section 3).
### Output Redaction
`agent/redact.py` strips secret-like patterns (API keys, tokens, credentials) from all display output before it reaches the terminal or gateway platform. This prevents accidental credential leakage in chat logs, tool previews, and response text. Redaction operates on the display layer only — underlying values remain intact for internal agent operations.
### Skills vs. MCP Servers
- **Installed Skills:** High trust. Equivalent to local host code; skills can read environment variables and run arbitrary commands.
- **MCP Servers:** Lower trust. MCP subprocesses receive a filtered environment (`_build_safe_env()` in `tools/mcp_tool.py`) — only safe baseline variables (`PATH`, `HOME`, `XDG_*`) plus variables explicitly declared in the server's `env` config block are passed through. Host credentials are stripped by default. Additionally, packages invoked via `npx`/`uvx` are checked against the OSV malware database before spawning.
### Code Execution Sandbox
The `execute_code` tool (`tools/code_execution_tool.py`) runs LLM-generated Python scripts in a child process with API keys and tokens stripped from the environment to prevent credential exfiltration. Only environment variables explicitly declared by loaded skills (via `env_passthrough`) or by the user in `config.yaml` (`terminal.env_passthrough`) are passed through. The child accesses Hermes tools via RPC, not direct API calls.
### Subagents
- **No recursive delegation:** The `delegate_task` tool is disabled for child agents.
- **Depth limit:** `MAX_DEPTH = 2` — parent (depth 0) can spawn a child (depth 1); grandchildren are rejected.
- **Memory isolation:** Subagents run with `skip_memory=True` and do not have access to the parent's persistent memory provider. The parent receives only the task prompt and final response as an observation.
---
## 3. Out of Scope (Non-Vulnerabilities)
The following scenarios are **not** considered security breaches:
- **Prompt Injection:** Unless it results in a concrete bypass of the approval system, toolset restrictions, or container sandbox.
- **Public Exposure:** Deploying the gateway to the public internet without external authentication or network protection.
- **Trusted State Access:** Reports that require pre-existing write access to `~/.hermes/`, `.env`, or `config.yaml` (these are operator-owned files).
- **Default Behavior:** Host-level command execution when `terminal.backend` is set to `local` — this is the documented default, not a vulnerability.
- **Configuration Trade-offs:** Intentional break-glass settings such as `approvals.mode: "off"` or `terminal.backend: local` in production.
- **Tool-level read/access restrictions:** The agent has unrestricted shell access via the `terminal` tool by design. Reports that a specific tool (e.g., `read_file`) can access a resource are not vulnerabilities if the same access is available through `terminal`. Tool-level deny lists only constitute a meaningful security boundary when paired with equivalent restrictions on the terminal side (as with write operations, where `WRITE_DENIED_PATHS` is paired with the dangerous command approval system).
---
## 4. Deployment Hardening & Best Practices
### Filesystem & Network
- **Production sandboxing:** Use container backends (`docker`, `modal`, `daytona`) instead of `local` for untrusted workloads.
- **File permissions:** Run as non-root (the Docker image uses UID 10000); protect credentials with `chmod 600 ~/.hermes/.env` on local installs.
- **Network exposure:** Do not expose the gateway or API server to the public internet without VPN, Tailscale, or firewall protection. SSRF protection is enabled by default across all gateway platform adapters (Telegram, Discord, Slack, Matrix, Mattermost, etc.) with redirect validation. Note: the local terminal backend does not apply SSRF filtering, as it operates within the trusted operator's environment.
### Skills & Supply Chain
- **Skill installation:** Review Skills Guard reports (`tools/skills_guard.py`) before installing third-party skills. The audit log at `~/.hermes/skills/.hub/audit.log` tracks every install and removal.
- **MCP safety:** OSV malware checking runs automatically for `npx`/`uvx` packages before MCP server processes are spawned.
- **CI/CD:** GitHub Actions are pinned to full commit SHAs. The `supply-chain-audit.yml` workflow blocks PRs containing `.pth` files or suspicious `base64`+`exec` patterns.
### Credential Storage
- API keys and tokens belong exclusively in `~/.hermes/.env` — never in `config.yaml` or checked into version control.
- The credential pool system (`agent/credential_pool.py`) handles key rotation and fallback. Credentials are resolved from environment variables, not stored in plaintext databases.
---
## 5. Disclosure Process
- **Coordinated Disclosure:** 90-day window or until a fix is released, whichever comes first.
- **Communication:** All updates occur via the GHSA thread or email correspondence with security@nousresearch.com.
- **Credits:** Reporters are credited in release notes unless anonymity is requested.

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@@ -8,7 +8,7 @@ from typing import Optional
def detect_provider() -> Optional[str]:
"""Resolve the active Hermes runtime provider, or None if unavailable."""
try:
from hermes_agent.cli.runtime_provider import resolve_runtime_provider
from hermes_cli.runtime_provider import resolve_runtime_provider
runtime = resolve_runtime_provider()
api_key = runtime.get("api_key")
provider = runtime.get("provider")

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@@ -15,49 +15,10 @@ Usage::
import asyncio
import logging
import os
import sys
from pathlib import Path
from hermes_agent.constants import get_hermes_home
# Methods clients send as periodic liveness probes. They are not part of the
# ACP schema, so the acp router correctly returns JSON-RPC -32601 to the
# caller — but the supervisor task that dispatches the request then surfaces
# the raised RequestError via ``logging.exception("Background task failed")``,
# which dumps a traceback to stderr every probe interval. Clients like
# acp-bridge already treat the -32601 response as "agent alive", so the
# traceback is pure noise. We keep the protocol response intact and only
# silence the stderr noise for this specific benign case.
_BENIGN_PROBE_METHODS = frozenset({"ping", "health", "healthcheck"})
class _BenignProbeMethodFilter(logging.Filter):
"""Suppress acp 'Background task failed' tracebacks caused by unknown
liveness-probe methods (e.g. ``ping``) while leaving every other
background-task error including method_not_found for any non-probe
method visible in stderr.
"""
def filter(self, record: logging.LogRecord) -> bool:
if record.getMessage() != "Background task failed":
return True
exc_info = record.exc_info
if not exc_info:
return True
exc = exc_info[1]
# Imported lazily so this module stays importable when the optional
# ``agent-client-protocol`` dependency is not installed.
try:
from acp.exceptions import RequestError
except ImportError:
return True
if not isinstance(exc, RequestError):
return True
if getattr(exc, "code", None) != -32601:
return True
data = getattr(exc, "data", None)
method = data.get("method") if isinstance(data, dict) else None
return method not in _BENIGN_PROBE_METHODS
from hermes_constants import get_hermes_home
def _setup_logging() -> None:
@@ -69,7 +30,6 @@ def _setup_logging() -> None:
datefmt="%Y-%m-%d %H:%M:%S",
)
)
handler.addFilter(_BenignProbeMethodFilter())
root = logging.getLogger()
root.handlers.clear()
root.addHandler(handler)
@@ -83,7 +43,7 @@ def _setup_logging() -> None:
def _load_env() -> None:
"""Load .env from HERMES_HOME (default ``~/.hermes``)."""
from hermes_agent.cli.env_loader import load_hermes_dotenv
from hermes_cli.env_loader import load_hermes_dotenv
hermes_home = get_hermes_home()
loaded = load_hermes_dotenv(hermes_home=hermes_home)
@@ -104,12 +64,17 @@ def main() -> None:
logger = logging.getLogger(__name__)
logger.info("Starting hermes-agent ACP adapter")
# Ensure the project root is on sys.path so ``from run_agent import AIAgent`` works
project_root = str(Path(__file__).resolve().parent.parent)
if project_root not in sys.path:
sys.path.insert(0, project_root)
import acp
from .server import HermesACPAgent
agent = HermesACPAgent()
try:
asyncio.run(acp.run_agent(agent, use_unstable_protocol=True))
asyncio.run(acp.run_agent(agent))
except KeyboardInterrupt:
logger.info("Shutting down (KeyboardInterrupt)")
except Exception:

View File

@@ -49,24 +49,19 @@ def make_tool_progress_cb(
session_id: str,
loop: asyncio.AbstractEventLoop,
tool_call_ids: Dict[str, Deque[str]],
tool_call_meta: Dict[str, Dict[str, Any]],
) -> Callable:
"""Create a ``tool_progress_callback`` for AIAgent.
Signature expected by AIAgent::
tool_progress_callback(event_type: str, name: str, preview: str, args: dict, **kwargs)
tool_progress_callback(name: str, preview: str, args: dict)
Emits ``ToolCallStart`` for ``tool.started`` events and tracks IDs in a FIFO
Emits ``ToolCallStart`` for each tool invocation and tracks IDs in a FIFO
queue per tool name so duplicate/parallel same-name calls still complete
against the correct ACP tool call. Other event types (``tool.completed``,
``reasoning.available``) are silently ignored.
against the correct ACP tool call.
"""
def _tool_progress(event_type: str, name: str = None, preview: str = None, args: Any = None, **kwargs) -> None:
# Only emit ACP ToolCallStart for tool.started; ignore other event types
if event_type != "tool.started":
return
def _tool_progress(name: str, preview: str, args: Any = None) -> None:
if isinstance(args, str):
try:
args = json.loads(args)
@@ -85,16 +80,6 @@ def make_tool_progress_cb(
tool_call_ids[name] = queue
queue.append(tc_id)
snapshot = None
if name in {"write_file", "patch", "skill_manage"}:
try:
from hermes_agent.agent.display import capture_local_edit_snapshot
snapshot = capture_local_edit_snapshot(name, args)
except Exception:
logger.debug("Failed to capture ACP edit snapshot for %s", name, exc_info=True)
tool_call_meta[tc_id] = {"args": args, "snapshot": snapshot}
update = build_tool_start(tc_id, name, args)
_send_update(conn, session_id, loop, update)
@@ -130,7 +115,6 @@ def make_step_cb(
session_id: str,
loop: asyncio.AbstractEventLoop,
tool_call_ids: Dict[str, Deque[str]],
tool_call_meta: Dict[str, Dict[str, Any]],
) -> Callable:
"""Create a ``step_callback`` for AIAgent.
@@ -144,12 +128,10 @@ def make_step_cb(
for tool_info in prev_tools:
tool_name = None
result = None
function_args = None
if isinstance(tool_info, dict):
tool_name = tool_info.get("name") or tool_info.get("function_name")
result = tool_info.get("result") or tool_info.get("output")
function_args = tool_info.get("arguments") or tool_info.get("args")
elif isinstance(tool_info, str):
tool_name = tool_info
@@ -159,13 +141,8 @@ def make_step_cb(
tool_call_ids[tool_name] = queue
if tool_name and queue:
tc_id = queue.popleft()
meta = tool_call_meta.pop(tc_id, {})
update = build_tool_complete(
tc_id,
tool_name,
result=str(result) if result is not None else None,
function_args=function_args or meta.get("args"),
snapshot=meta.get("snapshot"),
tc_id, tool_name, result=str(result) if result is not None else None
)
_send_update(conn, session_id, loop, update)
if not queue:

View File

@@ -63,9 +63,6 @@ def make_approval_callback(
logger.warning("Permission request timed out or failed: %s", exc)
return "deny"
if response is None:
return "deny"
outcome = response.outcome
if isinstance(outcome, AllowedOutcome):
option_id = outcome.option_id

492
acp_adapter/server.py Normal file
View File

@@ -0,0 +1,492 @@
"""ACP agent server — exposes Hermes Agent via the Agent Client Protocol."""
from __future__ import annotations
import asyncio
import logging
from collections import defaultdict, deque
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Deque, Optional
import acp
from acp.schema import (
AgentCapabilities,
AuthenticateResponse,
AuthMethod,
ClientCapabilities,
EmbeddedResourceContentBlock,
ForkSessionResponse,
ImageContentBlock,
AudioContentBlock,
Implementation,
InitializeResponse,
ListSessionsResponse,
LoadSessionResponse,
NewSessionResponse,
PromptResponse,
ResumeSessionResponse,
ResourceContentBlock,
SessionCapabilities,
SessionForkCapabilities,
SessionListCapabilities,
SessionInfo,
TextContentBlock,
Usage,
)
from acp_adapter.auth import detect_provider, has_provider
from acp_adapter.events import (
make_message_cb,
make_step_cb,
make_thinking_cb,
make_tool_progress_cb,
)
from acp_adapter.permissions import make_approval_callback
from acp_adapter.session import SessionManager, SessionState
logger = logging.getLogger(__name__)
try:
from hermes_cli import __version__ as HERMES_VERSION
except Exception:
HERMES_VERSION = "0.0.0"
# Thread pool for running AIAgent (synchronous) in parallel.
_executor = ThreadPoolExecutor(max_workers=4, thread_name_prefix="acp-agent")
def _extract_text(
prompt: list[
TextContentBlock
| ImageContentBlock
| AudioContentBlock
| ResourceContentBlock
| EmbeddedResourceContentBlock
],
) -> str:
"""Extract plain text from ACP content blocks."""
parts: list[str] = []
for block in prompt:
if isinstance(block, TextContentBlock):
parts.append(block.text)
elif hasattr(block, "text"):
parts.append(str(block.text))
# Non-text blocks are ignored for now.
return "\n".join(parts)
class HermesACPAgent(acp.Agent):
"""ACP Agent implementation wrapping Hermes AIAgent."""
def __init__(self, session_manager: SessionManager | None = None):
super().__init__()
self.session_manager = session_manager or SessionManager()
self._conn: Optional[acp.Client] = None
# ---- Connection lifecycle -----------------------------------------------
def on_connect(self, conn: acp.Client) -> None:
"""Store the client connection for sending session updates."""
self._conn = conn
logger.info("ACP client connected")
# ---- ACP lifecycle ------------------------------------------------------
async def initialize(
self,
protocol_version: int,
client_capabilities: ClientCapabilities | None = None,
client_info: Implementation | None = None,
**kwargs: Any,
) -> InitializeResponse:
provider = detect_provider()
auth_methods = None
if provider:
auth_methods = [
AuthMethod(
id=provider,
name=f"{provider} runtime credentials",
description=f"Authenticate Hermes using the currently configured {provider} runtime credentials.",
)
]
client_name = client_info.name if client_info else "unknown"
logger.info("Initialize from %s (protocol v%s)", client_name, protocol_version)
return InitializeResponse(
protocol_version=acp.PROTOCOL_VERSION,
agent_info=Implementation(name="hermes-agent", version=HERMES_VERSION),
agent_capabilities=AgentCapabilities(
session_capabilities=SessionCapabilities(
fork=SessionForkCapabilities(),
list=SessionListCapabilities(),
),
),
auth_methods=auth_methods,
)
async def authenticate(self, method_id: str, **kwargs: Any) -> AuthenticateResponse | None:
if has_provider():
return AuthenticateResponse()
return None
# ---- Session management -------------------------------------------------
async def new_session(
self,
cwd: str,
mcp_servers: list | None = None,
**kwargs: Any,
) -> NewSessionResponse:
state = self.session_manager.create_session(cwd=cwd)
logger.info("New session %s (cwd=%s)", state.session_id, cwd)
return NewSessionResponse(session_id=state.session_id)
async def load_session(
self,
cwd: str,
session_id: str,
mcp_servers: list | None = None,
**kwargs: Any,
) -> LoadSessionResponse | None:
state = self.session_manager.update_cwd(session_id, cwd)
if state is None:
logger.warning("load_session: session %s not found", session_id)
return None
logger.info("Loaded session %s", session_id)
return LoadSessionResponse()
async def resume_session(
self,
cwd: str,
session_id: str,
mcp_servers: list | None = None,
**kwargs: Any,
) -> ResumeSessionResponse:
state = self.session_manager.update_cwd(session_id, cwd)
if state is None:
logger.warning("resume_session: session %s not found, creating new", session_id)
state = self.session_manager.create_session(cwd=cwd)
logger.info("Resumed session %s", state.session_id)
return ResumeSessionResponse()
async def cancel(self, session_id: str, **kwargs: Any) -> None:
state = self.session_manager.get_session(session_id)
if state and state.cancel_event:
state.cancel_event.set()
try:
if getattr(state, "agent", None) and hasattr(state.agent, "interrupt"):
state.agent.interrupt()
except Exception:
logger.debug("Failed to interrupt ACP session %s", session_id, exc_info=True)
logger.info("Cancelled session %s", session_id)
async def fork_session(
self,
cwd: str,
session_id: str,
mcp_servers: list | None = None,
**kwargs: Any,
) -> ForkSessionResponse:
state = self.session_manager.fork_session(session_id, cwd=cwd)
new_id = state.session_id if state else ""
logger.info("Forked session %s -> %s", session_id, new_id)
return ForkSessionResponse(session_id=new_id)
async def list_sessions(
self,
cursor: str | None = None,
cwd: str | None = None,
**kwargs: Any,
) -> ListSessionsResponse:
infos = self.session_manager.list_sessions()
sessions = [
SessionInfo(session_id=s["session_id"], cwd=s["cwd"])
for s in infos
]
return ListSessionsResponse(sessions=sessions)
# ---- Prompt (core) ------------------------------------------------------
async def prompt(
self,
prompt: list[
TextContentBlock
| ImageContentBlock
| AudioContentBlock
| ResourceContentBlock
| EmbeddedResourceContentBlock
],
session_id: str,
**kwargs: Any,
) -> PromptResponse:
"""Run Hermes on the user's prompt and stream events back to the editor."""
state = self.session_manager.get_session(session_id)
if state is None:
logger.error("prompt: session %s not found", session_id)
return PromptResponse(stop_reason="refusal")
user_text = _extract_text(prompt).strip()
if not user_text:
return PromptResponse(stop_reason="end_turn")
# Intercept slash commands — handle locally without calling the LLM
if user_text.startswith("/"):
response_text = self._handle_slash_command(user_text, state)
if response_text is not None:
if self._conn:
update = acp.update_agent_message_text(response_text)
await self._conn.session_update(session_id, update)
return PromptResponse(stop_reason="end_turn")
logger.info("Prompt on session %s: %s", session_id, user_text[:100])
conn = self._conn
loop = asyncio.get_running_loop()
if state.cancel_event:
state.cancel_event.clear()
tool_call_ids: dict[str, Deque[str]] = defaultdict(deque)
previous_approval_cb = None
if conn:
tool_progress_cb = make_tool_progress_cb(conn, session_id, loop, tool_call_ids)
thinking_cb = make_thinking_cb(conn, session_id, loop)
step_cb = make_step_cb(conn, session_id, loop, tool_call_ids)
message_cb = make_message_cb(conn, session_id, loop)
approval_cb = make_approval_callback(conn.request_permission, loop, session_id)
else:
tool_progress_cb = None
thinking_cb = None
step_cb = None
message_cb = None
approval_cb = None
agent = state.agent
agent.tool_progress_callback = tool_progress_cb
agent.thinking_callback = thinking_cb
agent.step_callback = step_cb
agent.message_callback = message_cb
if approval_cb:
try:
from tools import terminal_tool as _terminal_tool
previous_approval_cb = getattr(_terminal_tool, "_approval_callback", None)
_terminal_tool.set_approval_callback(approval_cb)
except Exception:
logger.debug("Could not set ACP approval callback", exc_info=True)
def _run_agent() -> dict:
try:
result = agent.run_conversation(
user_message=user_text,
conversation_history=state.history,
task_id=session_id,
)
return result
except Exception as e:
logger.exception("Agent error in session %s", session_id)
return {"final_response": f"Error: {e}", "messages": state.history}
finally:
if approval_cb:
try:
from tools import terminal_tool as _terminal_tool
_terminal_tool.set_approval_callback(previous_approval_cb)
except Exception:
logger.debug("Could not restore approval callback", exc_info=True)
try:
result = await loop.run_in_executor(_executor, _run_agent)
except Exception:
logger.exception("Executor error for session %s", session_id)
return PromptResponse(stop_reason="end_turn")
if result.get("messages"):
state.history = result["messages"]
# Persist updated history so sessions survive process restarts.
self.session_manager.save_session(session_id)
final_response = result.get("final_response", "")
if final_response and conn:
update = acp.update_agent_message_text(final_response)
await conn.session_update(session_id, update)
usage = None
usage_data = result.get("usage")
if usage_data and isinstance(usage_data, dict):
usage = Usage(
input_tokens=usage_data.get("prompt_tokens", 0),
output_tokens=usage_data.get("completion_tokens", 0),
total_tokens=usage_data.get("total_tokens", 0),
thought_tokens=usage_data.get("reasoning_tokens"),
cached_read_tokens=usage_data.get("cached_tokens"),
)
stop_reason = "cancelled" if state.cancel_event and state.cancel_event.is_set() else "end_turn"
return PromptResponse(stop_reason=stop_reason, usage=usage)
# ---- Slash commands (headless) -------------------------------------------
_SLASH_COMMANDS = {
"help": "Show available commands",
"model": "Show or change current model",
"tools": "List available tools",
"context": "Show conversation context info",
"reset": "Clear conversation history",
"compact": "Compress conversation context",
"version": "Show Hermes version",
}
def _handle_slash_command(self, text: str, state: SessionState) -> str | None:
"""Dispatch a slash command and return the response text.
Returns ``None`` for unrecognized commands so they fall through
to the LLM (the user may have typed ``/something`` as prose).
"""
parts = text.split(maxsplit=1)
cmd = parts[0].lstrip("/").lower()
args = parts[1].strip() if len(parts) > 1 else ""
handler = {
"help": self._cmd_help,
"model": self._cmd_model,
"tools": self._cmd_tools,
"context": self._cmd_context,
"reset": self._cmd_reset,
"compact": self._cmd_compact,
"version": self._cmd_version,
}.get(cmd)
if handler is None:
return None # not a known command — let the LLM handle it
try:
return handler(args, state)
except Exception as e:
logger.error("Slash command /%s error: %s", cmd, e, exc_info=True)
return f"Error executing /{cmd}: {e}"
def _cmd_help(self, args: str, state: SessionState) -> str:
lines = ["Available commands:", ""]
for cmd, desc in self._SLASH_COMMANDS.items():
lines.append(f" /{cmd:10s} {desc}")
lines.append("")
lines.append("Unrecognized /commands are sent to the model as normal messages.")
return "\n".join(lines)
def _cmd_model(self, args: str, state: SessionState) -> str:
if not args:
model = state.model or getattr(state.agent, "model", "unknown")
provider = getattr(state.agent, "provider", None) or "auto"
return f"Current model: {model}\nProvider: {provider}"
new_model = args.strip()
target_provider = None
current_provider = getattr(state.agent, "provider", None) or "openrouter"
# Auto-detect provider for the requested model
try:
from hermes_cli.models import parse_model_input, detect_provider_for_model
target_provider, new_model = parse_model_input(new_model, current_provider)
if target_provider == current_provider:
detected = detect_provider_for_model(new_model, current_provider)
if detected:
target_provider, new_model = detected
except Exception:
logger.debug("Provider detection failed, using model as-is", exc_info=True)
state.model = new_model
state.agent = self.session_manager._make_agent(
session_id=state.session_id,
cwd=state.cwd,
model=new_model,
requested_provider=target_provider or current_provider,
)
self.session_manager.save_session(state.session_id)
provider_label = getattr(state.agent, "provider", None) or target_provider or current_provider
logger.info("Session %s: model switched to %s", state.session_id, new_model)
return f"Model switched to: {new_model}\nProvider: {provider_label}"
def _cmd_tools(self, args: str, state: SessionState) -> str:
try:
from model_tools import get_tool_definitions
toolsets = getattr(state.agent, "enabled_toolsets", None) or ["hermes-acp"]
tools = get_tool_definitions(enabled_toolsets=toolsets, quiet_mode=True)
if not tools:
return "No tools available."
lines = [f"Available tools ({len(tools)}):"]
for t in tools:
name = t.get("function", {}).get("name", "?")
desc = t.get("function", {}).get("description", "")
# Truncate long descriptions
if len(desc) > 80:
desc = desc[:77] + "..."
lines.append(f" {name}: {desc}")
return "\n".join(lines)
except Exception as e:
return f"Could not list tools: {e}"
def _cmd_context(self, args: str, state: SessionState) -> str:
n_messages = len(state.history)
if n_messages == 0:
return "Conversation is empty (no messages yet)."
# Count by role
roles: dict[str, int] = {}
for msg in state.history:
role = msg.get("role", "unknown")
roles[role] = roles.get(role, 0) + 1
lines = [
f"Conversation: {n_messages} messages",
f" user: {roles.get('user', 0)}, assistant: {roles.get('assistant', 0)}, "
f"tool: {roles.get('tool', 0)}, system: {roles.get('system', 0)}",
]
model = state.model or getattr(state.agent, "model", "")
if model:
lines.append(f"Model: {model}")
return "\n".join(lines)
def _cmd_reset(self, args: str, state: SessionState) -> str:
state.history.clear()
self.session_manager.save_session(state.session_id)
return "Conversation history cleared."
def _cmd_compact(self, args: str, state: SessionState) -> str:
if not state.history:
return "Nothing to compress — conversation is empty."
try:
agent = state.agent
if hasattr(agent, "compress_context"):
agent.compress_context(state.history)
self.session_manager.save_session(state.session_id)
return f"Context compressed. Messages: {len(state.history)}"
return "Context compression not available for this agent."
except Exception as e:
return f"Compression failed: {e}"
def _cmd_version(self, args: str, state: SessionState) -> str:
return f"Hermes Agent v{HERMES_VERSION}"
# ---- Model switching (ACP protocol method) -------------------------------
async def set_session_model(
self, model_id: str, session_id: str, **kwargs: Any
):
"""Switch the model for a session (called by ACP protocol)."""
state = self.session_manager.get_session(session_id)
if state:
state.model = model_id
current_provider = getattr(state.agent, "provider", None)
current_base_url = getattr(state.agent, "base_url", None)
current_api_mode = getattr(state.agent, "api_mode", None)
state.agent = self.session_manager._make_agent(
session_id=session_id,
cwd=state.cwd,
model=model_id,
requested_provider=current_provider,
base_url=current_base_url,
api_mode=current_api_mode,
)
self.session_manager.save_session(session_id)
logger.info("Session %s: model switched to %s", session_id, model_id)
return None

View File

@@ -8,17 +8,12 @@ history.
"""
from __future__ import annotations
from hermes_agent.constants import get_hermes_home
from hermes_constants import get_hermes_home
import copy
import json
import logging
import os
import re
import sys
import time
import uuid
from datetime import datetime, timezone
from dataclasses import dataclass, field
from threading import Lock
from typing import Any, Dict, List, Optional
@@ -26,81 +21,12 @@ from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
def _normalize_cwd_for_compare(cwd: str | None) -> str:
raw = str(cwd or ".").strip()
if not raw:
raw = "."
expanded = os.path.expanduser(raw)
# Normalize Windows drive paths into the equivalent WSL mount form so
# ACP history filters match the same workspace across Windows and WSL.
match = re.match(r"^([A-Za-z]):[\\/](.*)$", expanded)
if match:
drive = match.group(1).lower()
tail = match.group(2).replace("\\", "/")
expanded = f"/mnt/{drive}/{tail}"
elif re.match(r"^/mnt/[A-Za-z]/", expanded):
expanded = f"/mnt/{expanded[5].lower()}/{expanded[7:]}"
return os.path.normpath(expanded)
def _build_session_title(title: Any, preview: Any, cwd: str | None) -> str:
explicit = str(title or "").strip()
if explicit:
return explicit
preview_text = str(preview or "").strip()
if preview_text:
return preview_text
leaf = os.path.basename(str(cwd or "").rstrip("/\\"))
return leaf or "New thread"
def _format_updated_at(value: Any) -> str | None:
if value is None:
return None
if isinstance(value, str) and value.strip():
return value
try:
return datetime.fromtimestamp(float(value), tz=timezone.utc).isoformat()
except Exception:
return None
def _updated_at_sort_key(value: Any) -> float:
if value is None:
return float("-inf")
if isinstance(value, (int, float)):
return float(value)
raw = str(value).strip()
if not raw:
return float("-inf")
try:
return datetime.fromisoformat(raw.replace("Z", "+00:00")).timestamp()
except Exception:
try:
return float(raw)
except Exception:
return float("-inf")
def _acp_stderr_print(*args, **kwargs) -> None:
"""Best-effort human-readable output sink for ACP stdio sessions.
ACP reserves stdout for JSON-RPC frames, so any incidental CLI/status output
from AIAgent must be redirected away from stdout. Route it to stderr instead.
"""
kwargs = dict(kwargs)
kwargs.setdefault("file", sys.stderr)
print(*args, **kwargs)
def _register_task_cwd(task_id: str, cwd: str) -> None:
"""Bind a task/session id to the editor's working directory for tools."""
if not task_id:
return
try:
from hermes_agent.tools.terminal import register_task_env_overrides
from tools.terminal_tool import register_task_env_overrides
register_task_env_overrides(task_id, {"cwd": cwd})
except Exception:
logger.debug("Failed to register ACP task cwd override", exc_info=True)
@@ -111,7 +37,7 @@ def _clear_task_cwd(task_id: str) -> None:
if not task_id:
return
try:
from hermes_agent.tools.terminal import clear_task_env_overrides
from tools.terminal_tool import clear_task_env_overrides
clear_task_env_overrides(task_id)
except Exception:
logger.debug("Failed to clear ACP task cwd override", exc_info=True)
@@ -224,78 +150,47 @@ class SessionManager:
logger.info("Forked ACP session %s -> %s", session_id, new_id)
return state
def list_sessions(self, cwd: str | None = None) -> List[Dict[str, Any]]:
def list_sessions(self) -> List[Dict[str, Any]]:
"""Return lightweight info dicts for all sessions (memory + database)."""
normalized_cwd = _normalize_cwd_for_compare(cwd) if cwd else None
db = self._get_db()
persisted_rows: dict[str, dict[str, Any]] = {}
if db is not None:
try:
for row in db.list_sessions_rich(source="acp", limit=1000):
persisted_rows[str(row["id"])] = dict(row)
except Exception:
logger.debug("Failed to load ACP sessions from DB", exc_info=True)
# Collect in-memory sessions first.
with self._lock:
seen_ids = set(self._sessions.keys())
results = []
for s in self._sessions.values():
history_len = len(s.history)
if history_len <= 0:
continue
if normalized_cwd and _normalize_cwd_for_compare(s.cwd) != normalized_cwd:
continue
persisted = persisted_rows.get(s.session_id, {})
preview = next(
(
str(msg.get("content") or "").strip()
for msg in s.history
if msg.get("role") == "user" and str(msg.get("content") or "").strip()
),
persisted.get("preview") or "",
)
results.append(
{
"session_id": s.session_id,
"cwd": s.cwd,
"model": s.model,
"history_len": history_len,
"title": _build_session_title(persisted.get("title"), preview, s.cwd),
"updated_at": _format_updated_at(
persisted.get("last_active") or persisted.get("started_at") or time.time()
),
}
)
results = [
{
"session_id": s.session_id,
"cwd": s.cwd,
"model": s.model,
"history_len": len(s.history),
}
for s in self._sessions.values()
]
# Merge any persisted sessions not currently in memory.
for sid, row in persisted_rows.items():
if sid in seen_ids:
continue
message_count = int(row.get("message_count") or 0)
if message_count <= 0:
continue
# Extract cwd from model_config JSON.
session_cwd = "."
mc = row.get("model_config")
if mc:
try:
session_cwd = json.loads(mc).get("cwd", ".")
except (json.JSONDecodeError, TypeError):
pass
if normalized_cwd and _normalize_cwd_for_compare(session_cwd) != normalized_cwd:
continue
results.append({
"session_id": sid,
"cwd": session_cwd,
"model": row.get("model") or "",
"history_len": message_count,
"title": _build_session_title(row.get("title"), row.get("preview"), session_cwd),
"updated_at": _format_updated_at(row.get("last_active") or row.get("started_at")),
})
db = self._get_db()
if db is not None:
try:
rows = db.search_sessions(source="acp", limit=1000)
for row in rows:
sid = row["id"]
if sid in seen_ids:
continue
# Extract cwd from model_config JSON.
cwd = "."
mc = row.get("model_config")
if mc:
try:
cwd = json.loads(mc).get("cwd", ".")
except (json.JSONDecodeError, TypeError):
pass
results.append({
"session_id": sid,
"cwd": cwd,
"model": row.get("model") or "",
"history_len": row.get("message_count") or 0,
})
except Exception:
logger.debug("Failed to list ACP sessions from DB", exc_info=True)
results.sort(key=lambda item: _updated_at_sort_key(item.get("updated_at")), reverse=True)
return results
def update_cwd(self, session_id: str, cwd: str) -> Optional[SessionState]:
@@ -355,7 +250,9 @@ class SessionManager:
if self._db_instance is not None:
return self._db_instance
try:
from hermes_agent.state import SessionDB
import os
from pathlib import Path
from hermes_state import SessionDB
hermes_home = get_hermes_home()
self._db_instance = SessionDB(db_path=hermes_home / "state.db")
return self._db_instance
@@ -523,13 +420,13 @@ class SessionManager:
if self._agent_factory is not None:
return self._agent_factory()
from hermes_agent.agent.loop import AIAgent
from hermes_agent.cli.config import load_config
from hermes_agent.cli.runtime_provider import resolve_runtime_provider
from run_agent import AIAgent
from hermes_cli.config import load_config
from hermes_cli.runtime_provider import resolve_runtime_provider
config = load_config()
model_cfg = config.get("model")
default_model = ""
default_model = "anthropic/claude-opus-4.6"
config_provider = None
if isinstance(model_cfg, dict):
default_model = str(model_cfg.get("default") or default_model)
@@ -561,8 +458,4 @@ class SessionManager:
logger.debug("ACP session falling back to default provider resolution", exc_info=True)
_register_task_cwd(session_id, cwd)
agent = AIAgent(**kwargs)
# ACP stdio transport requires stdout to remain protocol-only JSON-RPC.
# Route any incidental human-readable agent output to stderr instead.
agent._print_fn = _acp_stderr_print
return agent
return AIAgent(**kwargs)

View File

@@ -2,7 +2,6 @@
from __future__ import annotations
import json
import uuid
from typing import Any, Dict, List, Optional
@@ -40,6 +39,7 @@ TOOL_KIND_MAP: Dict[str, ToolKind] = {
"browser_scroll": "execute",
"browser_press": "execute",
"browser_back": "execute",
"browser_close": "execute",
"browser_get_images": "read",
# Agent internals
"delegate_task": "execute",
@@ -97,170 +97,6 @@ def build_tool_title(tool_name: str, args: Dict[str, Any]) -> str:
return tool_name
def _build_patch_mode_content(patch_text: str) -> List[Any]:
"""Parse V4A patch mode input into ACP diff blocks when possible."""
if not patch_text:
return [acp.tool_content(acp.text_block(""))]
try:
from hermes_agent.tools.patch_parser import OperationType, parse_v4a_patch
operations, error = parse_v4a_patch(patch_text)
if error or not operations:
return [acp.tool_content(acp.text_block(patch_text))]
content: List[Any] = []
for op in operations:
if op.operation == OperationType.UPDATE:
old_chunks: list[str] = []
new_chunks: list[str] = []
for hunk in op.hunks:
old_lines = [line.content for line in hunk.lines if line.prefix in (" ", "-")]
new_lines = [line.content for line in hunk.lines if line.prefix in (" ", "+")]
if old_lines or new_lines:
old_chunks.append("\n".join(old_lines))
new_chunks.append("\n".join(new_lines))
old_text = "\n...\n".join(chunk for chunk in old_chunks if chunk)
new_text = "\n...\n".join(chunk for chunk in new_chunks if chunk)
if old_text or new_text:
content.append(
acp.tool_diff_content(
path=op.file_path,
old_text=old_text or None,
new_text=new_text or "",
)
)
continue
if op.operation == OperationType.ADD:
added_lines = [line.content for hunk in op.hunks for line in hunk.lines if line.prefix == "+"]
content.append(
acp.tool_diff_content(
path=op.file_path,
new_text="\n".join(added_lines),
)
)
continue
if op.operation == OperationType.DELETE:
content.append(
acp.tool_diff_content(
path=op.file_path,
old_text=f"Delete file: {op.file_path}",
new_text="",
)
)
continue
if op.operation == OperationType.MOVE:
content.append(
acp.tool_content(acp.text_block(f"Move file: {op.file_path} -> {op.new_path}"))
)
return content or [acp.tool_content(acp.text_block(patch_text))]
except Exception:
return [acp.tool_content(acp.text_block(patch_text))]
def _strip_diff_prefix(path: str) -> str:
raw = str(path or "").strip()
if raw.startswith(("a/", "b/")):
return raw[2:]
return raw
def _parse_unified_diff_content(diff_text: str) -> List[Any]:
"""Convert unified diff text into ACP diff content blocks."""
if not diff_text:
return []
content: List[Any] = []
current_old_path: Optional[str] = None
current_new_path: Optional[str] = None
old_lines: list[str] = []
new_lines: list[str] = []
def _flush() -> None:
nonlocal current_old_path, current_new_path, old_lines, new_lines
if current_old_path is None and current_new_path is None:
return
path = current_new_path if current_new_path and current_new_path != "/dev/null" else current_old_path
if not path or path == "/dev/null":
current_old_path = None
current_new_path = None
old_lines = []
new_lines = []
return
content.append(
acp.tool_diff_content(
path=_strip_diff_prefix(path),
old_text="\n".join(old_lines) if old_lines else None,
new_text="\n".join(new_lines),
)
)
current_old_path = None
current_new_path = None
old_lines = []
new_lines = []
for line in diff_text.splitlines():
if line.startswith("--- "):
_flush()
current_old_path = line[4:].strip()
continue
if line.startswith("+++ "):
current_new_path = line[4:].strip()
continue
if line.startswith("@@"):
continue
if current_old_path is None and current_new_path is None:
continue
if line.startswith("+"):
new_lines.append(line[1:])
elif line.startswith("-"):
old_lines.append(line[1:])
elif line.startswith(" "):
shared = line[1:]
old_lines.append(shared)
new_lines.append(shared)
_flush()
return content
def _build_tool_complete_content(
tool_name: str,
result: Optional[str],
*,
function_args: Optional[Dict[str, Any]] = None,
snapshot: Any = None,
) -> List[Any]:
"""Build structured ACP completion content, falling back to plain text."""
display_result = result or ""
if len(display_result) > 5000:
display_result = display_result[:4900] + f"\n... ({len(result)} chars total, truncated)"
if tool_name in {"write_file", "patch", "skill_manage"}:
try:
from hermes_agent.agent.display import extract_edit_diff
diff_text = extract_edit_diff(
tool_name,
result,
function_args=function_args,
snapshot=snapshot,
)
if isinstance(diff_text, str) and diff_text.strip():
diff_content = _parse_unified_diff_content(diff_text)
if diff_content:
return diff_content
except Exception:
pass
return [acp.tool_content(acp.text_block(display_result))]
# ---------------------------------------------------------------------------
# Build ACP content objects for tool-call events
# ---------------------------------------------------------------------------
@@ -284,8 +120,9 @@ def build_tool_start(
new = arguments.get("new_string", "")
content = [acp.tool_diff_content(path=path, new_text=new, old_text=old)]
else:
# Patch mode — show the patch content as text
patch_text = arguments.get("patch", "")
content = _build_patch_mode_content(patch_text)
content = [acp.tool_content(acp.text_block(patch_text))]
return acp.start_tool_call(
tool_call_id, title, kind=kind, content=content, locations=locations,
raw_input=arguments,
@@ -342,17 +179,16 @@ def build_tool_complete(
tool_call_id: str,
tool_name: str,
result: Optional[str] = None,
function_args: Optional[Dict[str, Any]] = None,
snapshot: Any = None,
) -> ToolCallProgress:
"""Create a ToolCallUpdate (progress) event for a completed tool call."""
kind = get_tool_kind(tool_name)
content = _build_tool_complete_content(
tool_name,
result,
function_args=function_args,
snapshot=snapshot,
)
# Truncate very large results for the UI
display_result = result or ""
if len(display_result) > 5000:
display_result = display_result[:4900] + f"\n... ({len(result)} chars total, truncated)"
content = [acp.tool_content(acp.text_block(display_result))]
return acp.update_tool_call(
tool_call_id,
kind=kind,

960
agent/anthropic_adapter.py Normal file
View File

@@ -0,0 +1,960 @@
"""Anthropic Messages API adapter for Hermes Agent.
Translates between Hermes's internal OpenAI-style message format and
Anthropic's Messages API. Follows the same pattern as the codex_responses
adapter — all provider-specific logic is isolated here.
Auth supports:
- Regular API keys (sk-ant-api*) → x-api-key header
- OAuth setup-tokens (sk-ant-oat*) → Bearer auth + beta header
- Claude Code credentials (~/.claude.json or ~/.claude/.credentials.json) → Bearer auth
"""
import json
import logging
import os
from pathlib import Path
from hermes_constants import get_hermes_home
from types import SimpleNamespace
from typing import Any, Dict, List, Optional, Tuple
try:
import anthropic as _anthropic_sdk
except ImportError:
_anthropic_sdk = None # type: ignore[assignment]
logger = logging.getLogger(__name__)
THINKING_BUDGET = {"xhigh": 32000, "high": 16000, "medium": 8000, "low": 4000}
ADAPTIVE_EFFORT_MAP = {
"xhigh": "max",
"high": "high",
"medium": "medium",
"low": "low",
"minimal": "low",
}
def _supports_adaptive_thinking(model: str) -> bool:
"""Return True for Claude 4.6 models that support adaptive thinking."""
return any(v in model for v in ("4-6", "4.6"))
# Beta headers for enhanced features (sent with ALL auth types)
_COMMON_BETAS = [
"interleaved-thinking-2025-05-14",
"fine-grained-tool-streaming-2025-05-14",
]
# Additional beta headers required for OAuth/subscription auth.
# Matches what Claude Code (and pi-ai / OpenCode) send.
_OAUTH_ONLY_BETAS = [
"claude-code-20250219",
"oauth-2025-04-20",
]
# Claude Code identity — required for OAuth requests to be routed correctly.
# Without these, Anthropic's infrastructure intermittently 500s OAuth traffic.
# The version must stay reasonably current — Anthropic rejects OAuth requests
# when the spoofed user-agent version is too far behind the actual release.
_CLAUDE_CODE_VERSION_FALLBACK = "2.1.74"
def _detect_claude_code_version() -> str:
"""Detect the installed Claude Code version, fall back to a static constant.
Anthropic's OAuth infrastructure validates the user-agent version and may
reject requests with a version that's too old. Detecting dynamically means
users who keep Claude Code updated never hit stale-version 400s.
"""
import subprocess as _sp
for cmd in ("claude", "claude-code"):
try:
result = _sp.run(
[cmd, "--version"],
capture_output=True, text=True, timeout=5,
)
if result.returncode == 0 and result.stdout.strip():
# Output is like "2.1.74 (Claude Code)" or just "2.1.74"
version = result.stdout.strip().split()[0]
if version and version[0].isdigit():
return version
except Exception:
pass
return _CLAUDE_CODE_VERSION_FALLBACK
_CLAUDE_CODE_VERSION = _detect_claude_code_version()
_CLAUDE_CODE_SYSTEM_PREFIX = "You are Claude Code, Anthropic's official CLI for Claude."
_MCP_TOOL_PREFIX = "mcp_"
def _is_oauth_token(key: str) -> bool:
"""Check if the key is an OAuth/setup token (not a regular Console API key).
Regular API keys start with 'sk-ant-api'. Everything else (setup-tokens
starting with 'sk-ant-oat', managed keys, JWTs, etc.) needs Bearer auth.
"""
if not key:
return False
# Regular Console API keys use x-api-key header
if key.startswith("sk-ant-api"):
return False
# Everything else (setup-tokens, managed keys, JWTs) uses Bearer auth
return True
def build_anthropic_client(api_key: str, base_url: str = None):
"""Create an Anthropic client, auto-detecting setup-tokens vs API keys.
Returns an anthropic.Anthropic instance.
"""
if _anthropic_sdk is None:
raise ImportError(
"The 'anthropic' package is required for the Anthropic provider. "
"Install it with: pip install 'anthropic>=0.39.0'"
)
from httpx import Timeout
kwargs = {
"timeout": Timeout(timeout=900.0, connect=10.0),
}
if base_url:
kwargs["base_url"] = base_url
if _is_oauth_token(api_key):
# OAuth access token / setup-token → Bearer auth + Claude Code identity.
# Anthropic routes OAuth requests based on user-agent and headers;
# without Claude Code's fingerprint, requests get intermittent 500s.
all_betas = _COMMON_BETAS + _OAUTH_ONLY_BETAS
kwargs["auth_token"] = api_key
kwargs["default_headers"] = {
"anthropic-beta": ",".join(all_betas),
"user-agent": f"claude-cli/{_CLAUDE_CODE_VERSION} (external, cli)",
"x-app": "cli",
}
else:
# Regular API key → x-api-key header + common betas
kwargs["api_key"] = api_key
if _COMMON_BETAS:
kwargs["default_headers"] = {"anthropic-beta": ",".join(_COMMON_BETAS)}
return _anthropic_sdk.Anthropic(**kwargs)
def read_claude_code_credentials() -> Optional[Dict[str, Any]]:
"""Read refreshable Claude Code OAuth credentials from ~/.claude/.credentials.json.
This intentionally excludes ~/.claude.json primaryApiKey. Opencode's
subscription flow is OAuth/setup-token based with refreshable credentials,
and native direct Anthropic provider usage should follow that path rather
than auto-detecting Claude's first-party managed key.
Returns dict with {accessToken, refreshToken?, expiresAt?} or None.
"""
cred_path = Path.home() / ".claude" / ".credentials.json"
if cred_path.exists():
try:
data = json.loads(cred_path.read_text(encoding="utf-8"))
oauth_data = data.get("claudeAiOauth")
if oauth_data and isinstance(oauth_data, dict):
access_token = oauth_data.get("accessToken", "")
if access_token:
return {
"accessToken": access_token,
"refreshToken": oauth_data.get("refreshToken", ""),
"expiresAt": oauth_data.get("expiresAt", 0),
"source": "claude_code_credentials_file",
}
except (json.JSONDecodeError, OSError, IOError) as e:
logger.debug("Failed to read ~/.claude/.credentials.json: %s", e)
return None
def read_claude_managed_key() -> Optional[str]:
"""Read Claude's native managed key from ~/.claude.json for diagnostics only."""
claude_json = Path.home() / ".claude.json"
if claude_json.exists():
try:
data = json.loads(claude_json.read_text(encoding="utf-8"))
primary_key = data.get("primaryApiKey", "")
if isinstance(primary_key, str) and primary_key.strip():
return primary_key.strip()
except (json.JSONDecodeError, OSError, IOError) as e:
logger.debug("Failed to read ~/.claude.json: %s", e)
return None
def is_claude_code_token_valid(creds: Dict[str, Any]) -> bool:
"""Check if Claude Code credentials have a non-expired access token."""
import time
expires_at = creds.get("expiresAt", 0)
if not expires_at:
# No expiry set (managed keys) — valid if token is present
return bool(creds.get("accessToken"))
# expiresAt is in milliseconds since epoch
now_ms = int(time.time() * 1000)
# Allow 60 seconds of buffer
return now_ms < (expires_at - 60_000)
def _refresh_oauth_token(creds: Dict[str, Any]) -> Optional[str]:
"""Attempt to refresh an expired Claude Code OAuth token.
Uses the same token endpoint and client_id as Claude Code / OpenCode.
Only works for credentials that have a refresh token (from claude /login
or claude setup-token with OAuth flow).
Tries the new platform.claude.com endpoint first (Claude Code >=2.1.81),
then falls back to console.anthropic.com for older tokens.
Returns the new access token, or None if refresh fails.
"""
import time
import urllib.request
refresh_token = creds.get("refreshToken", "")
if not refresh_token:
logger.debug("No refresh token available — cannot refresh")
return None
# Client ID used by Claude Code's OAuth flow
CLIENT_ID = "9d1c250a-e61b-44d9-88ed-5944d1962f5e"
# Anthropic migrated OAuth from console.anthropic.com to platform.claude.com
# (Claude Code v2.1.81+). Try new endpoint first, fall back to old.
token_endpoints = [
"https://platform.claude.com/v1/oauth/token",
"https://console.anthropic.com/v1/oauth/token",
]
payload = json.dumps({
"grant_type": "refresh_token",
"refresh_token": refresh_token,
"client_id": CLIENT_ID,
}).encode()
headers = {
"Content-Type": "application/json",
"User-Agent": f"claude-cli/{_CLAUDE_CODE_VERSION} (external, cli)",
}
for endpoint in token_endpoints:
req = urllib.request.Request(
endpoint, data=payload, headers=headers, method="POST",
)
try:
with urllib.request.urlopen(req, timeout=10) as resp:
result = json.loads(resp.read().decode())
new_access = result.get("access_token", "")
new_refresh = result.get("refresh_token", refresh_token)
expires_in = result.get("expires_in", 3600)
if new_access:
new_expires_ms = int(time.time() * 1000) + (expires_in * 1000)
_write_claude_code_credentials(new_access, new_refresh, new_expires_ms)
logger.debug("Refreshed Claude Code OAuth token via %s", endpoint)
return new_access
except Exception as e:
logger.debug("Token refresh failed at %s: %s", endpoint, e)
return None
def _write_claude_code_credentials(access_token: str, refresh_token: str, expires_at_ms: int) -> None:
"""Write refreshed credentials back to ~/.claude/.credentials.json."""
cred_path = Path.home() / ".claude" / ".credentials.json"
try:
# Read existing file to preserve other fields
existing = {}
if cred_path.exists():
existing = json.loads(cred_path.read_text(encoding="utf-8"))
existing["claudeAiOauth"] = {
"accessToken": access_token,
"refreshToken": refresh_token,
"expiresAt": expires_at_ms,
}
cred_path.parent.mkdir(parents=True, exist_ok=True)
cred_path.write_text(json.dumps(existing, indent=2), encoding="utf-8")
# Restrict permissions (credentials file)
cred_path.chmod(0o600)
except (OSError, IOError) as e:
logger.debug("Failed to write refreshed credentials: %s", e)
def _resolve_claude_code_token_from_credentials(creds: Optional[Dict[str, Any]] = None) -> Optional[str]:
"""Resolve a token from Claude Code credential files, refreshing if needed."""
creds = creds or read_claude_code_credentials()
if creds and is_claude_code_token_valid(creds):
logger.debug("Using Claude Code credentials (auto-detected)")
return creds["accessToken"]
if creds:
logger.debug("Claude Code credentials expired — attempting refresh")
refreshed = _refresh_oauth_token(creds)
if refreshed:
return refreshed
logger.debug("Token refresh failed — re-run 'claude setup-token' to reauthenticate")
return None
def _prefer_refreshable_claude_code_token(env_token: str, creds: Optional[Dict[str, Any]]) -> Optional[str]:
"""Prefer Claude Code creds when a persisted env OAuth token would shadow refresh.
Hermes historically persisted setup tokens into ANTHROPIC_TOKEN. That makes
later refresh impossible because the static env token wins before we ever
inspect Claude Code's refreshable credential file. If we have a refreshable
Claude Code credential record, prefer it over the static env OAuth token.
"""
if not env_token or not _is_oauth_token(env_token) or not isinstance(creds, dict):
return None
if not creds.get("refreshToken"):
return None
resolved = _resolve_claude_code_token_from_credentials(creds)
if resolved and resolved != env_token:
logger.debug(
"Preferring Claude Code credential file over static env OAuth token so refresh can proceed"
)
return resolved
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.
Priority:
1. ANTHROPIC_TOKEN env var (OAuth/setup token saved by Hermes)
2. CLAUDE_CODE_OAUTH_TOKEN env var
3. Claude Code credentials (~/.claude.json or ~/.claude/.credentials.json)
— with automatic refresh if expired and a refresh token is available
4. ANTHROPIC_API_KEY env var (regular API key, or legacy fallback)
Returns the token string or None.
"""
creds = read_claude_code_credentials()
# 1. Hermes-managed OAuth/setup token env var
token = os.getenv("ANTHROPIC_TOKEN", "").strip()
if token:
preferred = _prefer_refreshable_claude_code_token(token, creds)
if preferred:
return preferred
return token
# 2. CLAUDE_CODE_OAUTH_TOKEN (used by Claude Code for setup-tokens)
cc_token = os.getenv("CLAUDE_CODE_OAUTH_TOKEN", "").strip()
if cc_token:
preferred = _prefer_refreshable_claude_code_token(cc_token, creds)
if preferred:
return preferred
return cc_token
# 3. Claude Code credential file
resolved_claude_token = _resolve_claude_code_token_from_credentials(creds)
if resolved_claude_token:
return resolved_claude_token
# 4. Regular API key, or a legacy OAuth token saved in ANTHROPIC_API_KEY.
# This remains as a compatibility fallback for pre-migration Hermes configs.
api_key = os.getenv("ANTHROPIC_API_KEY", "").strip()
if api_key:
return api_key
return None
def run_oauth_setup_token() -> Optional[str]:
"""Run 'claude setup-token' interactively and return the resulting token.
Checks multiple sources after the subprocess completes:
1. Claude Code credential files (may be written by the subprocess)
2. CLAUDE_CODE_OAUTH_TOKEN / ANTHROPIC_TOKEN env vars
Returns the token string, or None if no credentials were obtained.
Raises FileNotFoundError if the 'claude' CLI is not installed.
"""
import shutil
import subprocess
claude_path = shutil.which("claude")
if not claude_path:
raise FileNotFoundError(
"The 'claude' CLI is not installed. "
"Install it with: npm install -g @anthropic-ai/claude-code"
)
# Run interactively — stdin/stdout/stderr inherited so user can interact
try:
subprocess.run([claude_path, "setup-token"])
except (KeyboardInterrupt, EOFError):
return None
# Check if credentials were saved to Claude Code's config files
creds = read_claude_code_credentials()
if creds and is_claude_code_token_valid(creds):
return creds["accessToken"]
# Check env vars that may have been set
for env_var in ("CLAUDE_CODE_OAUTH_TOKEN", "ANTHROPIC_TOKEN"):
val = os.getenv(env_var, "").strip()
if val:
return val
return None
# ---------------------------------------------------------------------------
# Message / tool / response format conversion
# ---------------------------------------------------------------------------
def normalize_model_name(model: str, preserve_dots: bool = False) -> str:
"""Normalize a model name for the Anthropic API.
- Strips 'anthropic/' prefix (OpenRouter format, case-insensitive)
- Converts dots to hyphens in version numbers (OpenRouter uses dots,
Anthropic uses hyphens: claude-opus-4.6 → claude-opus-4-6), unless
preserve_dots is True (e.g. for Alibaba/DashScope: qwen3.5-plus).
"""
lower = model.lower()
if lower.startswith("anthropic/"):
model = model[len("anthropic/"):]
if not preserve_dots:
# OpenRouter uses dots for version separators (claude-opus-4.6),
# Anthropic uses hyphens (claude-opus-4-6). Convert dots to hyphens.
model = model.replace(".", "-")
return model
def _sanitize_tool_id(tool_id: str) -> str:
"""Sanitize a tool call ID for the Anthropic API.
Anthropic requires IDs matching [a-zA-Z0-9_-]. Replace invalid
characters with underscores and ensure non-empty.
"""
import re
if not tool_id:
return "tool_0"
sanitized = re.sub(r"[^a-zA-Z0-9_-]", "_", tool_id)
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://") or url.startswith("https://"):
return {
"type": "image",
"source": {
"type": "url",
"url": url,
},
}
return None
def _convert_user_content_part_to_anthropic(part: Any) -> Optional[Dict[str, Any]]:
if isinstance(part, dict):
ptype = part.get("type")
if ptype == "text":
block = {"type": "text", "text": part.get("text", "")}
if isinstance(part.get("cache_control"), dict):
block["cache_control"] = dict(part["cache_control"])
return block
if ptype == "image_url":
return _convert_openai_image_part_to_anthropic(part)
if ptype == "image" and part.get("source"):
return dict(part)
if ptype == "image" and part.get("data"):
media_type = part.get("mimeType") or part.get("media_type") or "image/png"
return {
"type": "image",
"source": {
"type": "base64",
"media_type": media_type,
"data": part.get("data", ""),
},
}
if ptype == "tool_result":
return dict(part)
elif part is not None:
return {"type": "text", "text": str(part)}
return None
def convert_tools_to_anthropic(tools: List[Dict]) -> List[Dict]:
"""Convert OpenAI tool definitions to Anthropic format."""
if not tools:
return []
result = []
for t in tools:
fn = t.get("function", {})
result.append({
"name": fn.get("name", ""),
"description": fn.get("description", ""),
"input_schema": fn.get("parameters", {"type": "object", "properties": {}}),
})
return result
def _image_source_from_openai_url(url: str) -> Dict[str, str]:
"""Convert an OpenAI-style image URL/data URL into Anthropic image source."""
url = str(url or "").strip()
if not url:
return {"type": "url", "url": ""}
if url.startswith("data:"):
header, _, data = url.partition(",")
media_type = "image/jpeg"
if header.startswith("data:"):
mime_part = header[len("data:"):].split(";", 1)[0].strip()
if mime_part.startswith("image/"):
media_type = mime_part
return {
"type": "base64",
"media_type": media_type,
"data": data,
}
return {"type": "url", "url": url}
def _convert_content_part_to_anthropic(part: Any) -> Optional[Dict[str, Any]]:
"""Convert a single OpenAI-style content part to Anthropic format."""
if part is None:
return None
if isinstance(part, str):
return {"type": "text", "text": part}
if not isinstance(part, dict):
return {"type": "text", "text": str(part)}
ptype = part.get("type")
if ptype == "input_text":
block: Dict[str, Any] = {"type": "text", "text": part.get("text", "")}
elif ptype in {"image_url", "input_image"}:
image_value = part.get("image_url", {})
url = image_value.get("url", "") if isinstance(image_value, dict) else str(image_value or "")
block = {"type": "image", "source": _image_source_from_openai_url(url)}
else:
block = dict(part)
if isinstance(part.get("cache_control"), dict) and "cache_control" not in block:
block["cache_control"] = dict(part["cache_control"])
return block
def _convert_content_to_anthropic(content: Any) -> Any:
"""Convert OpenAI-style multimodal content arrays to Anthropic blocks."""
if not isinstance(content, list):
return content
converted = []
for part in content:
block = _convert_content_part_to_anthropic(part)
if block is not None:
converted.append(block)
return converted
def convert_messages_to_anthropic(
messages: List[Dict],
) -> 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).
"""
system = None
result = []
for m in messages:
role = m.get("role", "user")
content = m.get("content", "")
if role == "system":
if isinstance(content, list):
# Preserve cache_control markers on content blocks
has_cache = any(
p.get("cache_control") for p in content if isinstance(p, dict)
)
if has_cache:
system = [p for p in content if isinstance(p, dict)]
else:
system = "\n".join(
p["text"] for p in content if p.get("type") == "text"
)
else:
system = content
continue
if role == "assistant":
blocks = []
if content:
if isinstance(content, list):
converted_content = _convert_content_to_anthropic(content)
if isinstance(converted_content, list):
blocks.extend(converted_content)
else:
blocks.append({"type": "text", "text": str(content)})
for tc in m.get("tool_calls", []):
if not tc or not isinstance(tc, dict):
continue
fn = tc.get("function", {})
args = fn.get("arguments", "{}")
try:
parsed_args = json.loads(args) if isinstance(args, str) else args
except (json.JSONDecodeError, ValueError):
parsed_args = {}
blocks.append({
"type": "tool_use",
"id": _sanitize_tool_id(tc.get("id", "")),
"name": fn.get("name", ""),
"input": parsed_args,
})
# Anthropic rejects empty assistant content
effective = blocks or content
if not effective or effective == "":
effective = [{"type": "text", "text": "(empty)"}]
result.append({"role": "assistant", "content": effective})
continue
if role == "tool":
# Sanitize tool_use_id and ensure non-empty content
result_content = content if isinstance(content, str) else json.dumps(content)
if not result_content:
result_content = "(no output)"
tool_result = {
"type": "tool_result",
"tool_use_id": _sanitize_tool_id(m.get("tool_call_id", "")),
"content": result_content,
}
if isinstance(m.get("cache_control"), dict):
tool_result["cache_control"] = dict(m["cache_control"])
# Merge consecutive tool results into one user message
if (
result
and result[-1]["role"] == "user"
and isinstance(result[-1]["content"], list)
and result[-1]["content"]
and result[-1]["content"][0].get("type") == "tool_result"
):
result[-1]["content"].append(tool_result)
else:
result.append({"role": "user", "content": [tool_result]})
continue
# Regular user message
if isinstance(content, list):
converted_blocks = _convert_content_to_anthropic(content)
result.append({
"role": "user",
"content": converted_blocks or [{"type": "text", "text": ""}],
})
else:
result.append({"role": "user", "content": content})
# Strip orphaned tool_use blocks (no matching tool_result follows)
tool_result_ids = set()
for m in result:
if m["role"] == "user" and isinstance(m["content"], list):
for block in m["content"]:
if block.get("type") == "tool_result":
tool_result_ids.add(block.get("tool_use_id"))
for m in result:
if m["role"] == "assistant" and isinstance(m["content"], list):
m["content"] = [
b
for b in m["content"]
if b.get("type") != "tool_use" or b.get("id") in tool_result_ids
]
if not m["content"]:
m["content"] = [{"type": "text", "text": "(tool call removed)"}]
# Strip orphaned tool_result blocks (no matching tool_use precedes them).
# This is the mirror of the above: context compression or session truncation
# can remove an assistant message containing a tool_use while leaving the
# subsequent tool_result intact. Anthropic rejects these with a 400.
tool_use_ids = set()
for m in result:
if m["role"] == "assistant" and isinstance(m["content"], list):
for block in m["content"]:
if block.get("type") == "tool_use":
tool_use_ids.add(block.get("id"))
for m in result:
if m["role"] == "user" and isinstance(m["content"], list):
m["content"] = [
b
for b in m["content"]
if b.get("type") != "tool_result" or b.get("tool_use_id") in tool_use_ids
]
if not m["content"]:
m["content"] = [{"type": "text", "text": "(tool result removed)"}]
# Enforce strict role alternation (Anthropic rejects consecutive same-role messages)
fixed = []
for m in result:
if fixed and fixed[-1]["role"] == m["role"]:
if m["role"] == "user":
# Merge consecutive user messages
prev_content = fixed[-1]["content"]
curr_content = m["content"]
if isinstance(prev_content, str) and isinstance(curr_content, str):
fixed[-1]["content"] = prev_content + "\n" + curr_content
elif isinstance(prev_content, list) and isinstance(curr_content, list):
fixed[-1]["content"] = prev_content + curr_content
else:
# Mixed types — wrap string in list
if isinstance(prev_content, str):
prev_content = [{"type": "text", "text": prev_content}]
if isinstance(curr_content, str):
curr_content = [{"type": "text", "text": curr_content}]
fixed[-1]["content"] = prev_content + curr_content
else:
# 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):
fixed[-1]["content"] = prev_blocks + curr_blocks
elif isinstance(prev_blocks, str) and isinstance(curr_blocks, str):
fixed[-1]["content"] = prev_blocks + "\n" + curr_blocks
else:
# Mixed types — normalize both to list and merge
if isinstance(prev_blocks, str):
prev_blocks = [{"type": "text", "text": prev_blocks}]
if isinstance(curr_blocks, str):
curr_blocks = [{"type": "text", "text": curr_blocks}]
fixed[-1]["content"] = prev_blocks + curr_blocks
else:
fixed.append(m)
result = fixed
return system, result
def build_anthropic_kwargs(
model: str,
messages: List[Dict],
tools: Optional[List[Dict]],
max_tokens: Optional[int],
reasoning_config: Optional[Dict[str, Any]],
tool_choice: Optional[str] = None,
is_oauth: bool = False,
preserve_dots: bool = False,
) -> Dict[str, Any]:
"""Build kwargs for anthropic.messages.create().
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).
"""
system, anthropic_messages = convert_messages_to_anthropic(messages)
anthropic_tools = convert_tools_to_anthropic(tools) if tools else []
model = normalize_model_name(model, preserve_dots=preserve_dots)
effective_max_tokens = max_tokens or 16384
# ── OAuth: Claude Code identity ──────────────────────────────────
if is_oauth:
# 1. Prepend Claude Code system prompt identity
cc_block = {"type": "text", "text": _CLAUDE_CODE_SYSTEM_PREFIX}
if isinstance(system, list):
system = [cc_block] + system
elif isinstance(system, str) and system:
system = [cc_block, {"type": "text", "text": system}]
else:
system = [cc_block]
# 2. Sanitize system prompt — replace product name references
# to avoid Anthropic's server-side content filters.
for block in system:
if isinstance(block, dict) and block.get("type") == "text":
text = block.get("text", "")
text = text.replace("Hermes Agent", "Claude Code")
text = text.replace("Hermes agent", "Claude Code")
text = text.replace("hermes-agent", "claude-code")
text = text.replace("Nous Research", "Anthropic")
block["text"] = text
# 3. Prefix tool names with mcp_ (Claude Code convention)
if anthropic_tools:
for tool in anthropic_tools:
if "name" in tool:
tool["name"] = _MCP_TOOL_PREFIX + tool["name"]
# 4. Prefix tool names in message history (tool_use and tool_result blocks)
for msg in anthropic_messages:
content = msg.get("content")
if isinstance(content, list):
for block in content:
if isinstance(block, dict):
if block.get("type") == "tool_use" and "name" in block:
if not block["name"].startswith(_MCP_TOOL_PREFIX):
block["name"] = _MCP_TOOL_PREFIX + block["name"]
elif block.get("type") == "tool_result" and "tool_use_id" in block:
pass # tool_result uses ID, not name
kwargs: Dict[str, Any] = {
"model": model,
"messages": anthropic_messages,
"max_tokens": effective_max_tokens,
}
if system:
kwargs["system"] = system
if anthropic_tools:
kwargs["tools"] = anthropic_tools
# Map OpenAI tool_choice to Anthropic format
if tool_choice == "auto" or tool_choice is None:
kwargs["tool_choice"] = {"type": "auto"}
elif tool_choice == "required":
kwargs["tool_choice"] = {"type": "any"}
elif tool_choice == "none":
# Anthropic has no tool_choice "none" — omit tools entirely to prevent use
kwargs.pop("tools", None)
elif isinstance(tool_choice, str):
# Specific tool name
kwargs["tool_choice"] = {"type": "tool", "name": tool_choice}
# Map reasoning_config to Anthropic's thinking parameter.
# Claude 4.6 models use adaptive thinking + output_config.effort.
# Older models use manual thinking with budget_tokens.
# Haiku models do NOT support extended thinking at all — skip entirely.
if reasoning_config and isinstance(reasoning_config, dict):
if reasoning_config.get("enabled") is not False and "haiku" not in model.lower():
effort = str(reasoning_config.get("effort", "medium")).lower()
budget = THINKING_BUDGET.get(effort, 8000)
if _supports_adaptive_thinking(model):
kwargs["thinking"] = {"type": "adaptive"}
kwargs["output_config"] = {
"effort": ADAPTIVE_EFFORT_MAP.get(effort, "medium")
}
else:
kwargs["thinking"] = {"type": "enabled", "budget_tokens": budget}
# Anthropic requires temperature=1 when thinking is enabled on older models
kwargs["temperature"] = 1
kwargs["max_tokens"] = max(effective_max_tokens, budget + 4096)
return kwargs
def normalize_anthropic_response(
response,
strip_tool_prefix: bool = False,
) -> Tuple[SimpleNamespace, str]:
"""Normalize Anthropic response to match the shape expected by AIAgent.
Returns (assistant_message, finish_reason) where assistant_message has
.content, .tool_calls, and .reasoning attributes.
When *strip_tool_prefix* is True, removes the ``mcp_`` prefix that was
added to tool names for OAuth Claude Code compatibility.
"""
text_parts = []
reasoning_parts = []
tool_calls = []
for block in response.content:
if block.type == "text":
text_parts.append(block.text)
elif block.type == "thinking":
reasoning_parts.append(block.thinking)
elif block.type == "tool_use":
name = block.name
if strip_tool_prefix and name.startswith(_MCP_TOOL_PREFIX):
name = name[len(_MCP_TOOL_PREFIX):]
tool_calls.append(
SimpleNamespace(
id=block.id,
type="function",
function=SimpleNamespace(
name=name,
arguments=json.dumps(block.input),
),
)
)
# Map Anthropic stop_reason to OpenAI finish_reason
stop_reason_map = {
"end_turn": "stop",
"tool_use": "tool_calls",
"max_tokens": "length",
"stop_sequence": "stop",
}
finish_reason = stop_reason_map.get(response.stop_reason, "stop")
return (
SimpleNamespace(
content="\n".join(text_parts) if text_parts else None,
tool_calls=tool_calls or None,
reasoning="\n\n".join(reasoning_parts) if reasoning_parts else None,
reasoning_content=None,
reasoning_details=None,
),
finish_reason,
)

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"""Automatic context window compression for long conversations.
Self-contained class with its own OpenAI client for summarization.
Uses auxiliary model (cheap/fast) to summarize middle turns while
protecting head and tail context.
Improvements over v1:
- Structured summary template (Goal, Progress, Decisions, Files, Next Steps)
- Iterative summary updates (preserves info across multiple compactions)
- Token-budget tail protection instead of fixed message count
- Tool output pruning before LLM summarization (cheap pre-pass)
- Scaled summary budget (proportional to compressed content)
- Richer tool call/result detail in summarizer input
"""
import logging
from typing import Any, Dict, List, Optional
from agent.auxiliary_client import call_llm
from agent.model_metadata import (
get_model_context_length,
estimate_messages_tokens_rough,
)
logger = logging.getLogger(__name__)
SUMMARY_PREFIX = (
"[CONTEXT COMPACTION] Earlier turns in this conversation were compacted "
"to save context space. The summary below describes work that was "
"already completed, and the current session state may still reflect "
"that work (for example, files may already be changed). Use the summary "
"and the current state to continue from where things left off, and "
"avoid repeating work:"
)
LEGACY_SUMMARY_PREFIX = "[CONTEXT SUMMARY]:"
# Minimum tokens for the summary output
_MIN_SUMMARY_TOKENS = 2000
# Proportion of compressed content to allocate for summary
_SUMMARY_RATIO = 0.20
# Absolute ceiling for summary tokens (even on very large context windows)
_SUMMARY_TOKENS_CEILING = 12_000
# Placeholder used when pruning old tool results
_PRUNED_TOOL_PLACEHOLDER = "[Old tool output cleared to save context space]"
# Chars per token rough estimate
_CHARS_PER_TOKEN = 4
class ContextCompressor:
"""Compresses conversation context when approaching the model's context limit.
Algorithm:
1. Prune old tool results (cheap, no LLM call)
2. Protect head messages (system prompt + first exchange)
3. Protect tail messages by token budget (most recent ~20K tokens)
4. Summarize middle turns with structured LLM prompt
5. On subsequent compactions, iteratively update the previous summary
"""
def __init__(
self,
model: str,
threshold_percent: float = 0.50,
protect_first_n: int = 3,
protect_last_n: int = 20,
summary_target_ratio: float = 0.20,
quiet_mode: bool = False,
summary_model_override: str = None,
base_url: str = "",
api_key: str = "",
config_context_length: int | None = None,
provider: str = "",
):
self.model = model
self.base_url = base_url
self.api_key = api_key
self.provider = provider
self.threshold_percent = threshold_percent
self.protect_first_n = protect_first_n
self.protect_last_n = protect_last_n
self.summary_target_ratio = max(0.10, min(summary_target_ratio, 0.80))
self.quiet_mode = quiet_mode
self.context_length = get_model_context_length(
model, base_url=base_url, api_key=api_key,
config_context_length=config_context_length,
provider=provider,
)
self.threshold_tokens = int(self.context_length * threshold_percent)
self.compression_count = 0
# Derive token budgets: ratio is relative to the threshold, not total context
target_tokens = int(self.threshold_tokens * self.summary_target_ratio)
self.tail_token_budget = target_tokens
self.max_summary_tokens = min(
int(self.context_length * 0.05), _SUMMARY_TOKENS_CEILING,
)
if not quiet_mode:
logger.info(
"Context compressor initialized: model=%s context_length=%d "
"threshold=%d (%.0f%%) target_ratio=%.0f%% tail_budget=%d "
"provider=%s base_url=%s",
model, self.context_length, self.threshold_tokens,
threshold_percent * 100, self.summary_target_ratio * 100,
self.tail_token_budget,
provider or "none", base_url or "none",
)
self._context_probed = False # True after a step-down from context error
self.last_prompt_tokens = 0
self.last_completion_tokens = 0
self.last_total_tokens = 0
self.summary_model = summary_model_override or ""
# Stores the previous compaction summary for iterative updates
self._previous_summary: Optional[str] = None
def update_from_response(self, usage: Dict[str, Any]):
"""Update tracked token usage from API response."""
self.last_prompt_tokens = usage.get("prompt_tokens", 0)
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": (self.last_prompt_tokens / self.context_length * 100) if self.context_length else 0,
"compression_count": self.compression_count,
}
# ------------------------------------------------------------------
# Tool output pruning (cheap pre-pass, no LLM call)
# ------------------------------------------------------------------
def _prune_old_tool_results(
self, messages: List[Dict[str, Any]], protect_tail_count: int,
) -> tuple[List[Dict[str, Any]], int]:
"""Replace old tool result contents with a short placeholder.
Walks backward from the end, protecting the most recent
``protect_tail_count`` messages. Older tool results get their
content replaced with a placeholder string.
Returns (pruned_messages, pruned_count).
"""
if not messages:
return messages, 0
result = [m.copy() for m in messages]
pruned = 0
prune_boundary = len(result) - protect_tail_count
for i in range(prune_boundary):
msg = result[i]
if msg.get("role") != "tool":
continue
content = msg.get("content", "")
if not content or content == _PRUNED_TOOL_PLACEHOLDER:
continue
# Only prune if the content is substantial (>200 chars)
if len(content) > 200:
result[i] = {**msg, "content": _PRUNED_TOOL_PLACEHOLDER}
pruned += 1
return result, pruned
# ------------------------------------------------------------------
# Summarization
# ------------------------------------------------------------------
def _compute_summary_budget(self, turns_to_summarize: List[Dict[str, Any]]) -> int:
"""Scale summary token budget with the amount of content being compressed.
The maximum scales with the model's context window (5% of context,
capped at ``_SUMMARY_TOKENS_CEILING``) so large-context models get
richer summaries instead of being hard-capped at 8K tokens.
"""
content_tokens = estimate_messages_tokens_rough(turns_to_summarize)
budget = int(content_tokens * _SUMMARY_RATIO)
return max(_MIN_SUMMARY_TOKENS, min(budget, self.max_summary_tokens))
def _serialize_for_summary(self, turns: List[Dict[str, Any]]) -> str:
"""Serialize conversation turns into labeled text for the summarizer.
Includes tool call arguments and result content (up to 3000 chars
per message) so the summarizer can preserve specific details like
file paths, commands, and outputs.
"""
parts = []
for msg in turns:
role = msg.get("role", "unknown")
content = msg.get("content") or ""
# Tool results: keep more content than before (3000 chars)
if role == "tool":
tool_id = msg.get("tool_call_id", "")
if len(content) > 3000:
content = content[:2000] + "\n...[truncated]...\n" + content[-800:]
parts.append(f"[TOOL RESULT {tool_id}]: {content}")
continue
# Assistant messages: include tool call names AND arguments
if role == "assistant":
if len(content) > 3000:
content = content[:2000] + "\n...[truncated]...\n" + content[-800:]
tool_calls = msg.get("tool_calls", [])
if tool_calls:
tc_parts = []
for tc in tool_calls:
if isinstance(tc, dict):
fn = tc.get("function", {})
name = fn.get("name", "?")
args = fn.get("arguments", "")
# Truncate long arguments but keep enough for context
if len(args) > 500:
args = args[:400] + "..."
tc_parts.append(f" {name}({args})")
else:
fn = getattr(tc, "function", None)
name = getattr(fn, "name", "?") if fn else "?"
tc_parts.append(f" {name}(...)")
content += "\n[Tool calls:\n" + "\n".join(tc_parts) + "\n]"
parts.append(f"[ASSISTANT]: {content}")
continue
# User and other roles
if len(content) > 3000:
content = content[:2000] + "\n...[truncated]...\n" + content[-800:]
parts.append(f"[{role.upper()}]: {content}")
return "\n\n".join(parts)
def _generate_summary(self, turns_to_summarize: List[Dict[str, Any]]) -> Optional[str]:
"""Generate a structured summary of conversation turns.
Uses a structured template (Goal, Progress, Decisions, Files, Next Steps)
inspired by Pi-mono and OpenCode. When a previous summary exists,
generates an iterative update instead of summarizing from scratch.
Returns None if all attempts fail — the caller should drop
the middle turns without a summary rather than inject a useless
placeholder.
"""
summary_budget = self._compute_summary_budget(turns_to_summarize)
content_to_summarize = self._serialize_for_summary(turns_to_summarize)
if self._previous_summary:
# Iterative update: preserve existing info, add new progress
prompt = f"""You are updating a context compaction summary. A previous compaction produced the summary below. New conversation turns have occurred since then and need to be incorporated.
PREVIOUS SUMMARY:
{self._previous_summary}
NEW TURNS TO INCORPORATE:
{content_to_summarize}
Update the summary using this exact structure. PRESERVE all existing information that is still relevant. ADD new progress. Move items from "In Progress" to "Done" when completed. Remove information only if it is clearly obsolete.
## Goal
[What the user is trying to accomplish — preserve from previous summary, update if goal evolved]
## Constraints & Preferences
[User preferences, coding style, constraints, important decisions — accumulate across compactions]
## Progress
### Done
[Completed work — include specific file paths, commands run, results obtained]
### In Progress
[Work currently underway]
### Blocked
[Any blockers or issues encountered]
## Key Decisions
[Important technical decisions and why they were made]
## Relevant Files
[Files read, modified, or created — with brief note on each. Accumulate across compactions.]
## Next Steps
[What needs to happen next to continue the work]
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
Target ~{summary_budget} tokens. Be specific — include file paths, command outputs, error messages, and concrete values rather than vague descriptions.
Write only the summary body. Do not include any preamble or prefix."""
else:
# First compaction: summarize from scratch
prompt = f"""Create a structured handoff summary for a later assistant that will continue this conversation after earlier turns are compacted.
TURNS TO SUMMARIZE:
{content_to_summarize}
Use this exact structure:
## Goal
[What the user is trying to accomplish]
## Constraints & Preferences
[User preferences, coding style, constraints, important decisions]
## Progress
### Done
[Completed work — include specific file paths, commands run, results obtained]
### In Progress
[Work currently underway]
### Blocked
[Any blockers or issues encountered]
## Key Decisions
[Important technical decisions and why they were made]
## Relevant Files
[Files read, modified, or created — with brief note on each]
## Next Steps
[What needs to happen next to continue the work]
## Critical Context
[Any specific values, error messages, configuration details, or data that would be lost without explicit preservation]
Target ~{summary_budget} tokens. Be specific — include file paths, command outputs, error messages, and concrete values rather than vague descriptions. The goal is to prevent the next assistant from repeating work or losing important details.
Write only the summary body. Do not include any preamble or prefix."""
try:
call_kwargs = {
"task": "compression",
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.3,
"max_tokens": summary_budget * 2,
"timeout": 45.0,
}
if self.summary_model:
call_kwargs["model"] = self.summary_model
response = call_llm(**call_kwargs)
content = response.choices[0].message.content
# Handle cases where content is not a string (e.g., dict from llama.cpp)
if not isinstance(content, str):
content = str(content) if content else ""
summary = content.strip()
# Store for iterative updates on next compaction
self._previous_summary = summary
return self._with_summary_prefix(summary)
except RuntimeError:
logging.warning("Context compression: no provider available for "
"summary. Middle turns will be dropped without summary.")
return None
except Exception as e:
logging.warning("Failed to generate context summary: %s", e)
return None
@staticmethod
def _with_summary_prefix(summary: str) -> str:
"""Normalize summary text to the current compaction handoff format."""
text = (summary or "").strip()
for prefix in (LEGACY_SUMMARY_PREFIX, SUMMARY_PREFIX):
if text.startswith(prefix):
text = text[len(prefix):].lstrip()
break
return f"{SUMMARY_PREFIX}\n{text}" if text else SUMMARY_PREFIX
# ------------------------------------------------------------------
# Tool-call / tool-result pair integrity helpers
# ------------------------------------------------------------------
@staticmethod
def _get_tool_call_id(tc) -> str:
"""Extract the call ID from a tool_call entry (dict or SimpleNamespace)."""
if isinstance(tc, dict):
return tc.get("id", "")
return getattr(tc, "id", "") or ""
def _sanitize_tool_pairs(self, messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""Fix orphaned tool_call / tool_result pairs after compression.
Two failure modes:
1. A tool *result* references a call_id whose assistant tool_call was
removed (summarized/truncated). The API rejects this with
"No tool call found for function call output with call_id ...".
2. An assistant message has tool_calls whose results were dropped.
The API rejects this because every tool_call must be followed by
a tool result with the matching call_id.
This method removes orphaned results and inserts stub results for
orphaned calls so the message list is always well-formed.
"""
surviving_call_ids: set = set()
for msg in messages:
if msg.get("role") == "assistant":
for tc in msg.get("tool_calls") or []:
cid = self._get_tool_call_id(tc)
if cid:
surviving_call_ids.add(cid)
result_call_ids: set = set()
for msg in messages:
if msg.get("role") == "tool":
cid = msg.get("tool_call_id")
if cid:
result_call_ids.add(cid)
# 1. Remove tool results whose call_id has no matching assistant tool_call
orphaned_results = result_call_ids - surviving_call_ids
if orphaned_results:
messages = [
m for m in messages
if not (m.get("role") == "tool" and m.get("tool_call_id") in orphaned_results)
]
if not self.quiet_mode:
logger.info("Compression sanitizer: removed %d orphaned tool result(s)", len(orphaned_results))
# 2. Add stub results for assistant tool_calls whose results were dropped
missing_results = surviving_call_ids - result_call_ids
if missing_results:
patched: List[Dict[str, Any]] = []
for msg in messages:
patched.append(msg)
if msg.get("role") == "assistant":
for tc in msg.get("tool_calls") or []:
cid = self._get_tool_call_id(tc)
if cid in missing_results:
patched.append({
"role": "tool",
"content": "[Result from earlier conversation — see context summary above]",
"tool_call_id": cid,
})
messages = patched
if not self.quiet_mode:
logger.info("Compression sanitizer: added %d stub tool result(s)", len(missing_results))
return messages
def _align_boundary_forward(self, messages: List[Dict[str, Any]], idx: int) -> int:
"""Push a compress-start boundary forward past any orphan tool results.
If ``messages[idx]`` is a tool result, slide forward until we hit a
non-tool message so we don't start the summarised region mid-group.
"""
while idx < len(messages) and messages[idx].get("role") == "tool":
idx += 1
return idx
def _align_boundary_backward(self, messages: List[Dict[str, Any]], idx: int) -> int:
"""Pull a compress-end boundary backward to avoid splitting a
tool_call / result group.
If the boundary falls in the middle of a tool-result group (i.e.
there are consecutive tool messages before ``idx``), walk backward
past all of them to find the parent assistant message. If found,
move the boundary before the assistant so the entire
assistant + tool_results group is included in the summarised region
rather than being split (which causes silent data loss when
``_sanitize_tool_pairs`` removes the orphaned tail results).
"""
if idx <= 0 or idx >= len(messages):
return idx
# Walk backward past consecutive tool results
check = idx - 1
while check >= 0 and messages[check].get("role") == "tool":
check -= 1
# If we landed on the parent assistant with tool_calls, pull the
# boundary before it so the whole group gets summarised together.
if check >= 0 and messages[check].get("role") == "assistant" and messages[check].get("tool_calls"):
idx = check
return idx
# ------------------------------------------------------------------
# Tail protection by token budget
# ------------------------------------------------------------------
def _find_tail_cut_by_tokens(
self, messages: List[Dict[str, Any]], head_end: int,
token_budget: int | None = None,
) -> int:
"""Walk backward from the end of messages, accumulating tokens until
the budget is reached. Returns the index where the tail starts.
``token_budget`` defaults to ``self.tail_token_budget`` which is
derived from ``summary_target_ratio * context_length``, so it
scales automatically with the model's context window.
Never cuts inside a tool_call/result group. Falls back to the old
``protect_last_n`` if the budget would protect fewer messages.
"""
if token_budget is None:
token_budget = self.tail_token_budget
n = len(messages)
min_tail = self.protect_last_n
accumulated = 0
cut_idx = n # start from beyond the end
for i in range(n - 1, head_end - 1, -1):
msg = messages[i]
content = msg.get("content") or ""
msg_tokens = len(content) // _CHARS_PER_TOKEN + 10 # +10 for role/metadata
# Include tool call arguments in estimate
for tc in msg.get("tool_calls") or []:
if isinstance(tc, dict):
args = tc.get("function", {}).get("arguments", "")
msg_tokens += len(args) // _CHARS_PER_TOKEN
if accumulated + msg_tokens > token_budget and (n - i) >= min_tail:
break
accumulated += msg_tokens
cut_idx = i
# Ensure we protect at least protect_last_n messages
fallback_cut = n - min_tail
if cut_idx > fallback_cut:
cut_idx = fallback_cut
# If the token budget would protect everything (small conversations),
# fall back to the fixed protect_last_n approach so compression can
# still remove middle turns.
if cut_idx <= head_end:
cut_idx = fallback_cut
# Align to avoid splitting tool groups
cut_idx = self._align_boundary_backward(messages, cut_idx)
return max(cut_idx, head_end + 1)
# ------------------------------------------------------------------
# Main compression entry point
# ------------------------------------------------------------------
def compress(self, messages: List[Dict[str, Any]], current_tokens: int = None) -> List[Dict[str, Any]]:
"""Compress conversation messages by summarizing middle turns.
Algorithm:
1. Prune old tool results (cheap pre-pass, no LLM call)
2. Protect head messages (system prompt + first exchange)
3. Find tail boundary by token budget (~20K tokens of recent context)
4. Summarize middle turns with structured LLM prompt
5. On re-compression, iteratively update the previous summary
After compression, orphaned tool_call / tool_result pairs are cleaned
up so the API never receives mismatched IDs.
"""
n_messages = len(messages)
if n_messages <= self.protect_first_n + self.protect_last_n + 1:
if not self.quiet_mode:
logger.warning(
"Cannot compress: only %d messages (need > %d)",
n_messages,
self.protect_first_n + self.protect_last_n + 1,
)
return messages
display_tokens = current_tokens if current_tokens else self.last_prompt_tokens or estimate_messages_tokens_rough(messages)
# Phase 1: Prune old tool results (cheap, no LLM call)
messages, pruned_count = self._prune_old_tool_results(
messages, protect_tail_count=self.protect_last_n * 3,
)
if pruned_count and not self.quiet_mode:
logger.info("Pre-compression: pruned %d old tool result(s)", pruned_count)
# Phase 2: Determine boundaries
compress_start = self.protect_first_n
compress_start = self._align_boundary_forward(messages, compress_start)
# Use token-budget tail protection instead of fixed message count
compress_end = self._find_tail_cut_by_tokens(messages, compress_start)
if compress_start >= compress_end:
return messages
turns_to_summarize = messages[compress_start:compress_end]
if not self.quiet_mode:
logger.info(
"Context compression triggered (%d tokens >= %d threshold)",
display_tokens,
self.threshold_tokens,
)
logger.info(
"Model context limit: %d tokens (%.0f%% = %d)",
self.context_length,
self.threshold_percent * 100,
self.threshold_tokens,
)
tail_msgs = n_messages - compress_end
logger.info(
"Summarizing turns %d-%d (%d turns), protecting %d head + %d tail messages",
compress_start + 1,
compress_end,
len(turns_to_summarize),
compress_start,
tail_msgs,
)
# Phase 3: Generate structured summary
summary = self._generate_summary(turns_to_summarize)
# Phase 4: Assemble compressed message list
compressed = []
for i in range(compress_start):
msg = messages[i].copy()
if i == 0 and msg.get("role") == "system" and self.compression_count == 0:
msg["content"] = (
(msg.get("content") or "")
+ "\n\n[Note: Some earlier conversation turns have been compacted into a handoff summary to preserve context space. The current session state may still reflect earlier work, so build on that summary and state rather than re-doing work.]"
)
compressed.append(msg)
_merge_summary_into_tail = False
if summary:
last_head_role = messages[compress_start - 1].get("role", "user") if compress_start > 0 else "user"
first_tail_role = messages[compress_end].get("role", "user") if compress_end < n_messages else "user"
# Pick a role that avoids consecutive same-role with both neighbors.
# Priority: avoid colliding with head (already committed), then tail.
if last_head_role in ("assistant", "tool"):
summary_role = "user"
else:
summary_role = "assistant"
# If the chosen role collides with the tail AND flipping wouldn't
# collide with the head, flip it.
if summary_role == first_tail_role:
flipped = "assistant" if summary_role == "user" else "user"
if flipped != last_head_role:
summary_role = flipped
else:
# Both roles would create consecutive same-role messages
# (e.g. head=assistant, tail=user — neither role works).
# Merge the summary into the first tail message instead
# of inserting a standalone message that breaks alternation.
_merge_summary_into_tail = True
if not _merge_summary_into_tail:
compressed.append({"role": summary_role, "content": summary})
else:
if not self.quiet_mode:
logger.warning("No summary model available — middle turns dropped without summary")
for i in range(compress_end, n_messages):
msg = messages[i].copy()
if _merge_summary_into_tail and i == compress_end:
original = msg.get("content") or ""
msg["content"] = summary + "\n\n" + original
_merge_summary_into_tail = False
compressed.append(msg)
self.compression_count += 1
compressed = self._sanitize_tool_pairs(compressed)
if not self.quiet_mode:
new_estimate = estimate_messages_tokens_rough(compressed)
saved_estimate = display_tokens - new_estimate
logger.info(
"Compressed: %d -> %d messages (~%d tokens saved)",
n_messages,
len(compressed),
saved_estimate,
)
logger.info("Compression #%d complete", self.compression_count)
return compressed

View File

@@ -11,14 +11,13 @@ from dataclasses import dataclass, field
from pathlib import Path
from typing import Awaitable, Callable
from hermes_agent.providers.metadata import estimate_tokens_rough
from agent.model_metadata import estimate_tokens_rough
_QUOTED_REFERENCE_VALUE = r'(?:`[^`\n]+`|"[^"\n]+"|\'[^\'\n]+\')'
REFERENCE_PATTERN = re.compile(
rf"(?<![\w/])@(?:(?P<simple>diff|staged)\b|(?P<kind>file|folder|git|url):(?P<value>{_QUOTED_REFERENCE_VALUE}(?::\d+(?:-\d+)?)?|\S+))"
r"(?<![\w/])@(?:(?P<simple>diff|staged)\b|(?P<kind>file|folder|git|url):(?P<value>\S+))"
)
TRAILING_PUNCTUATION = ",.;!?"
_SENSITIVE_HOME_DIRS = (".ssh", ".aws", ".gnupg", ".kube", ".docker", ".azure", ".config/gh")
_SENSITIVE_HOME_DIRS = (".ssh", ".aws", ".gnupg", ".kube")
_SENSITIVE_HERMES_DIRS = (Path("skills") / ".hub",)
_SENSITIVE_HOME_FILES = (
Path(".ssh") / "authorized_keys",
@@ -82,10 +81,14 @@ def parse_context_references(message: str) -> list[ContextReference]:
value = _strip_trailing_punctuation(match.group("value") or "")
line_start = None
line_end = None
target = _strip_reference_wrappers(value)
target = value
if kind == "file":
target, line_start, line_end = _parse_file_reference_value(value)
range_match = re.match(r"^(?P<path>.+?):(?P<start>\d+)(?:-(?P<end>\d+))?$", value)
if range_match:
target = range_match.group("path")
line_start = int(range_match.group("start"))
line_end = int(range_match.group("end") or range_match.group("start"))
refs.append(
ContextReference(
@@ -283,16 +286,12 @@ def _expand_git_reference(
args: list[str],
label: str,
) -> tuple[str | None, str | None]:
try:
result = subprocess.run(
["git", *args],
cwd=cwd,
capture_output=True,
text=True,
timeout=30,
)
except subprocess.TimeoutExpired:
return f"{ref.raw}: git command timed out (30s)", None
result = subprocess.run(
["git", *args],
cwd=cwd,
capture_output=True,
text=True,
)
if result.returncode != 0:
stderr = (result.stderr or "").strip() or "git command failed"
return f"{ref.raw}: {stderr}", None
@@ -315,7 +314,7 @@ async def _fetch_url_content(
async def _default_url_fetcher(url: str) -> str:
from hermes_agent.tools.web import web_extract_tool
from tools.web_tools import web_extract_tool
raw = await web_extract_tool([url], format="markdown", use_llm_processing=True)
payload = json.loads(raw)
@@ -340,9 +339,10 @@ def _resolve_path(cwd: Path, target: str, *, allowed_root: Path | None = None) -
def _ensure_reference_path_allowed(path: Path) -> None:
from hermes_agent.constants import get_hermes_home
home = Path(os.path.expanduser("~")).resolve()
hermes_home = get_hermes_home().resolve()
hermes_home = Path(
os.getenv("HERMES_HOME", str(home / ".hermes"))
).expanduser().resolve()
blocked_exact = {home / rel for rel in _SENSITIVE_HOME_FILES}
blocked_exact.add(hermes_home / ".env")
@@ -372,38 +372,6 @@ def _strip_trailing_punctuation(value: str) -> str:
return stripped
def _strip_reference_wrappers(value: str) -> str:
if len(value) >= 2 and value[0] == value[-1] and value[0] in "`\"'":
return value[1:-1]
return value
def _parse_file_reference_value(value: str) -> tuple[str, int | None, int | None]:
quoted_match = re.match(
r'^(?P<quote>`|"|\')(?P<path>.+?)(?P=quote)(?::(?P<start>\d+)(?:-(?P<end>\d+))?)?$',
value,
)
if quoted_match:
line_start = quoted_match.group("start")
line_end = quoted_match.group("end")
return (
quoted_match.group("path"),
int(line_start) if line_start is not None else None,
int(line_end or line_start) if line_start is not None else None,
)
range_match = re.match(r"^(?P<path>.+?):(?P<start>\d+)(?:-(?P<end>\d+))?$", value)
if range_match:
line_start = int(range_match.group("start"))
return (
range_match.group("path"),
line_start,
int(range_match.group("end") or range_match.group("start")),
)
return _strip_reference_wrappers(value), None, None
def _remove_reference_tokens(message: str, refs: list[ContextReference]) -> str:
pieces: list[str] = []
cursor = 0
@@ -481,9 +449,8 @@ def _rg_files(path: Path, cwd: Path, limit: int) -> list[Path] | None:
cwd=cwd,
capture_output=True,
text=True,
timeout=10,
)
except (FileNotFoundError, OSError, subprocess.TimeoutExpired):
except FileNotFoundError:
return None
if result.returncode != 0:
return None

View File

@@ -11,7 +11,6 @@ from __future__ import annotations
import json
import os
import queue
import re
import shlex
import subprocess
import threading
@@ -21,15 +20,9 @@ from pathlib import Path
from types import SimpleNamespace
from typing import Any
from hermes_agent.agent.file_safety import get_read_block_error, is_write_denied
from hermes_agent.agent.redact import redact_sensitive_text
ACP_MARKER_BASE_URL = "acp://copilot"
_DEFAULT_TIMEOUT_SECONDS = 900.0
_TOOL_CALL_BLOCK_RE = re.compile(r"<tool_call>\s*(\{.*?\})\s*</tool_call>", re.DOTALL)
_TOOL_CALL_JSON_RE = re.compile(r"\{\s*\"id\"\s*:\s*\"[^\"]+\"\s*,\s*\"type\"\s*:\s*\"function\"\s*,\s*\"function\"\s*:\s*\{.*?\}\s*\}", re.DOTALL)
def _resolve_command() -> str:
return (
@@ -57,62 +50,15 @@ def _jsonrpc_error(message_id: Any, code: int, message: str) -> dict[str, Any]:
}
def _permission_denied(message_id: Any) -> dict[str, Any]:
return {
"jsonrpc": "2.0",
"id": message_id,
"result": {
"outcome": {
"outcome": "cancelled",
}
},
}
def _format_messages_as_prompt(
messages: list[dict[str, Any]],
model: str | None = None,
tools: list[dict[str, Any]] | None = None,
tool_choice: Any = None,
) -> str:
def _format_messages_as_prompt(messages: list[dict[str, Any]], model: str | None = None) -> str:
sections: list[str] = [
"You are being used as the active ACP agent backend for Hermes.",
"Use ACP capabilities to complete tasks.",
"IMPORTANT: If you take an action with a tool, you MUST output tool calls using <tool_call>{...}</tool_call> blocks with JSON exactly in OpenAI function-call shape.",
"If no tool is needed, answer normally.",
"Use your own ACP capabilities and respond directly in natural language.",
"Do not emit OpenAI tool-call JSON.",
]
if model:
sections.append(f"Hermes requested model hint: {model}")
if isinstance(tools, list) and tools:
tool_specs: list[dict[str, Any]] = []
for t in tools:
if not isinstance(t, dict):
continue
fn = t.get("function") or {}
if not isinstance(fn, dict):
continue
name = fn.get("name")
if not isinstance(name, str) or not name.strip():
continue
tool_specs.append(
{
"name": name.strip(),
"description": fn.get("description", ""),
"parameters": fn.get("parameters", {}),
}
)
if tool_specs:
sections.append(
"Available tools (OpenAI function schema). "
"When using a tool, emit ONLY <tool_call>{...}</tool_call> with one JSON object "
"containing id/type/function{name,arguments}. arguments must be a JSON string.\n"
+ json.dumps(tool_specs, ensure_ascii=False)
)
if tool_choice is not None:
sections.append(f"Tool choice hint: {json.dumps(tool_choice, ensure_ascii=False)}")
transcript: list[str] = []
for message in messages:
if not isinstance(message, dict):
@@ -168,80 +114,6 @@ def _render_message_content(content: Any) -> str:
return str(content).strip()
def _extract_tool_calls_from_text(text: str) -> tuple[list[SimpleNamespace], str]:
if not isinstance(text, str) or not text.strip():
return [], ""
extracted: list[SimpleNamespace] = []
consumed_spans: list[tuple[int, int]] = []
def _try_add_tool_call(raw_json: str) -> None:
try:
obj = json.loads(raw_json)
except Exception:
return
if not isinstance(obj, dict):
return
fn = obj.get("function")
if not isinstance(fn, dict):
return
fn_name = fn.get("name")
if not isinstance(fn_name, str) or not fn_name.strip():
return
fn_args = fn.get("arguments", "{}")
if not isinstance(fn_args, str):
fn_args = json.dumps(fn_args, ensure_ascii=False)
call_id = obj.get("id")
if not isinstance(call_id, str) or not call_id.strip():
call_id = f"acp_call_{len(extracted)+1}"
extracted.append(
SimpleNamespace(
id=call_id,
call_id=call_id,
response_item_id=None,
type="function",
function=SimpleNamespace(name=fn_name.strip(), arguments=fn_args),
)
)
for m in _TOOL_CALL_BLOCK_RE.finditer(text):
raw = m.group(1)
_try_add_tool_call(raw)
consumed_spans.append((m.start(), m.end()))
# Only try bare-JSON fallback when no XML blocks were found.
if not extracted:
for m in _TOOL_CALL_JSON_RE.finditer(text):
raw = m.group(0)
_try_add_tool_call(raw)
consumed_spans.append((m.start(), m.end()))
if not consumed_spans:
return extracted, text.strip()
consumed_spans.sort()
merged: list[tuple[int, int]] = []
for start, end in consumed_spans:
if not merged or start > merged[-1][1]:
merged.append((start, end))
else:
merged[-1] = (merged[-1][0], max(merged[-1][1], end))
parts: list[str] = []
cursor = 0
for start, end in merged:
if cursor < start:
parts.append(text[cursor:start])
cursor = max(cursor, end)
if cursor < len(text):
parts.append(text[cursor:])
cleaned = "\n".join(p.strip() for p in parts if p and p.strip()).strip()
return extracted, cleaned
def _ensure_path_within_cwd(path_text: str, cwd: str) -> Path:
candidate = Path(path_text)
if not candidate.is_absolute():
@@ -318,39 +190,14 @@ class CopilotACPClient:
model: str | None = None,
messages: list[dict[str, Any]] | None = None,
timeout: float | None = None,
tools: list[dict[str, Any]] | None = None,
tool_choice: Any = None,
**_: Any,
) -> Any:
prompt_text = _format_messages_as_prompt(
messages or [],
model=model,
tools=tools,
tool_choice=tool_choice,
)
# Normalise timeout: run_agent.py may pass an httpx.Timeout object
# (used natively by the OpenAI SDK) rather than a plain float.
if timeout is None:
_effective_timeout = _DEFAULT_TIMEOUT_SECONDS
elif isinstance(timeout, (int, float)):
_effective_timeout = float(timeout)
else:
# httpx.Timeout or similar — pick the largest component so the
# subprocess has enough wall-clock time for the full response.
_candidates = [
getattr(timeout, attr, None)
for attr in ("read", "write", "connect", "pool", "timeout")
]
_numeric = [float(v) for v in _candidates if isinstance(v, (int, float))]
_effective_timeout = max(_numeric) if _numeric else _DEFAULT_TIMEOUT_SECONDS
prompt_text = _format_messages_as_prompt(messages or [], model=model)
response_text, reasoning_text = self._run_prompt(
prompt_text,
timeout_seconds=_effective_timeout,
timeout_seconds=float(timeout or _DEFAULT_TIMEOUT_SECONDS),
)
tool_calls, cleaned_text = _extract_tool_calls_from_text(response_text)
usage = SimpleNamespace(
prompt_tokens=0,
completion_tokens=0,
@@ -358,14 +205,13 @@ class CopilotACPClient:
prompt_tokens_details=SimpleNamespace(cached_tokens=0),
)
assistant_message = SimpleNamespace(
content=cleaned_text,
tool_calls=tool_calls,
content=response_text,
tool_calls=[],
reasoning=reasoning_text or None,
reasoning_content=reasoning_text or None,
reasoning_details=None,
)
finish_reason = "tool_calls" if tool_calls else "stop"
choice = SimpleNamespace(message=assistant_message, finish_reason=finish_reason)
choice = SimpleNamespace(message=assistant_message, finish_reason="stop")
return SimpleNamespace(
choices=[choice],
usage=usage,
@@ -401,8 +247,6 @@ class CopilotACPClient:
stderr_tail: deque[str] = deque(maxlen=40)
def _stdout_reader() -> None:
if proc.stdout is None:
return
for line in proc.stdout:
try:
inbox.put(json.loads(line))
@@ -550,13 +394,18 @@ class CopilotACPClient:
params = msg.get("params") or {}
if method == "session/request_permission":
response = _permission_denied(message_id)
response = {
"jsonrpc": "2.0",
"id": message_id,
"result": {
"outcome": {
"outcome": "allow_once",
}
},
}
elif method == "fs/read_text_file":
try:
path = _ensure_path_within_cwd(str(params.get("path") or ""), cwd)
block_error = get_read_block_error(str(path))
if block_error:
raise PermissionError(block_error)
content = path.read_text() if path.exists() else ""
line = params.get("line")
limit = params.get("limit")
@@ -565,8 +414,6 @@ class CopilotACPClient:
start = line - 1
end = start + limit if isinstance(limit, int) and limit > 0 else None
content = "".join(lines[start:end])
if content:
content = redact_sensitive_text(content)
response = {
"jsonrpc": "2.0",
"id": message_id,
@@ -579,10 +426,6 @@ class CopilotACPClient:
elif method == "fs/write_text_file":
try:
path = _ensure_path_within_cwd(str(params.get("path") or ""), cwd)
if is_write_denied(str(path)):
raise PermissionError(
f"Write denied: '{path}' is a protected system/credential file."
)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(str(params.get("content") or ""))
response = {

View File

@@ -4,16 +4,12 @@ Pure display functions and classes with no AIAgent dependency.
Used by AIAgent._execute_tool_calls for CLI feedback.
"""
import json
import logging
import os
import sys
import threading
import time
from dataclasses import dataclass, field
from difflib import unified_diff
from pathlib import Path
from hermes_agent.utils import safe_json_loads
# ANSI escape codes for coloring tool failure indicators
_RED = "\033[31m"
@@ -21,95 +17,6 @@ _RESET = "\033[0m"
logger = logging.getLogger(__name__)
_ANSI_RESET = "\033[0m"
# Diff colors — resolved lazily from the skin engine so they adapt
# to light/dark themes. Falls back to sensible defaults on import
# failure. We cache after first resolution for performance.
_diff_colors_cached: dict[str, str] | None = None
def _diff_ansi() -> dict[str, str]:
"""Return ANSI escapes for diff display, resolved from the active skin."""
global _diff_colors_cached
if _diff_colors_cached is not None:
return _diff_colors_cached
# Defaults that work on dark terminals
dim = "\033[38;2;150;150;150m"
file_c = "\033[38;2;180;160;255m"
hunk = "\033[38;2;120;120;140m"
minus = "\033[38;2;255;255;255;48;2;120;20;20m"
plus = "\033[38;2;255;255;255;48;2;20;90;20m"
try:
from hermes_agent.cli.ui.skin_engine import get_active_skin
skin = get_active_skin()
def _hex_fg(key: str, fallback_rgb: tuple[int, int, int]) -> str:
h = skin.get_color(key, "")
if h and len(h) == 7 and h[0] == "#":
r, g, b = int(h[1:3], 16), int(h[3:5], 16), int(h[5:7], 16)
return f"\033[38;2;{r};{g};{b}m"
r, g, b = fallback_rgb
return f"\033[38;2;{r};{g};{b}m"
dim = _hex_fg("banner_dim", (150, 150, 150))
file_c = _hex_fg("session_label", (180, 160, 255))
hunk = _hex_fg("session_border", (120, 120, 140))
# minus/plus use background colors — derive from ui_error/ui_ok
err_h = skin.get_color("ui_error", "#ef5350")
ok_h = skin.get_color("ui_ok", "#4caf50")
if err_h and len(err_h) == 7:
er, eg, eb = int(err_h[1:3], 16), int(err_h[3:5], 16), int(err_h[5:7], 16)
# Use a dark tinted version as background
minus = f"\033[38;2;255;255;255;48;2;{max(er//2,20)};{max(eg//4,10)};{max(eb//4,10)}m"
if ok_h and len(ok_h) == 7:
or_, og, ob = int(ok_h[1:3], 16), int(ok_h[3:5], 16), int(ok_h[5:7], 16)
plus = f"\033[38;2;255;255;255;48;2;{max(or_//4,10)};{max(og//2,20)};{max(ob//4,10)}m"
except Exception:
pass
_diff_colors_cached = {
"dim": dim, "file": file_c, "hunk": hunk,
"minus": minus, "plus": plus,
}
return _diff_colors_cached
# Module-level helpers — each call resolves from the active skin lazily.
def _diff_dim(): return _diff_ansi()["dim"]
def _diff_file(): return _diff_ansi()["file"]
def _diff_hunk(): return _diff_ansi()["hunk"]
def _diff_minus(): return _diff_ansi()["minus"]
def _diff_plus(): return _diff_ansi()["plus"]
_MAX_INLINE_DIFF_FILES = 6
_MAX_INLINE_DIFF_LINES = 80
@dataclass
class LocalEditSnapshot:
"""Pre-tool filesystem snapshot used to render diffs locally after writes."""
paths: list[Path] = field(default_factory=list)
before: dict[str, str | None] = field(default_factory=dict)
# =========================================================================
# Configurable tool preview length (0 = no limit)
# Set once at startup by CLI or gateway from display.tool_preview_length config.
# =========================================================================
_tool_preview_max_len: int = 0 # 0 = unlimited
def set_tool_preview_max_len(n: int) -> None:
"""Set the global max length for tool call previews. 0 = no limit."""
global _tool_preview_max_len
_tool_preview_max_len = max(int(n), 0) if n else 0
def get_tool_preview_max_len() -> int:
"""Return the configured max preview length (0 = unlimited)."""
return _tool_preview_max_len
# =========================================================================
# Skin-aware helpers (lazy import to avoid circular deps)
@@ -118,12 +25,32 @@ def get_tool_preview_max_len() -> int:
def _get_skin():
"""Get the active skin config, or None if not available."""
try:
from hermes_agent.cli.ui.skin_engine import get_active_skin
from hermes_cli.skin_engine import get_active_skin
return get_active_skin()
except Exception:
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()
@@ -148,7 +75,7 @@ def get_tool_emoji(tool_name: str, default: str = "⚡") -> str:
return override
# 2. Registry default
try:
from hermes_agent.tools.registry import registry
from tools.registry import registry
emoji = registry.get_emoji(tool_name, default="")
if emoji:
return emoji
@@ -167,14 +94,8 @@ def _oneline(text: str) -> str:
return " ".join(text.split())
def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -> str | None:
"""Build a short preview of a tool call's primary argument for display.
*max_len* controls truncation. ``None`` (default) defers to the global
``_tool_preview_max_len`` set via config; ``0`` means unlimited.
"""
if max_len is None:
max_len = _tool_preview_max_len
def build_tool_preview(tool_name: str, args: dict, max_len: int = 40) -> str | None:
"""Build a short preview of a tool call's primary argument for display."""
if not args:
return None
primary_args = {
@@ -225,11 +146,9 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
content = _oneline(args.get("content", ""))
return f"+{target}: \"{content[:25]}{'...' if len(content) > 25 else ''}\""
elif action == "replace":
old = _oneline(args.get("old_text") or "") or "<missing old_text>"
return f"~{target}: \"{old[:20]}\""
return f"~{target}: \"{_oneline(args.get('old_text', '')[:20])}\""
elif action == "remove":
old = _oneline(args.get("old_text") or "") or "<missing old_text>"
return f"-{target}: \"{old[:20]}\""
return f"-{target}: \"{_oneline(args.get('old_text', '')[:20])}\""
return action
if tool_name == "send_message":
@@ -271,301 +190,11 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
preview = _oneline(str(value))
if not preview:
return None
if max_len > 0 and len(preview) > max_len:
if len(preview) > max_len:
preview = preview[:max_len - 3] + "..."
return preview
# =========================================================================
# Inline diff previews for write actions
# =========================================================================
def _resolved_path(path: str) -> Path:
"""Resolve a possibly-relative filesystem path against the current cwd."""
candidate = Path(os.path.expanduser(path))
if candidate.is_absolute():
return candidate
return Path.cwd() / candidate
def _snapshot_text(path: Path) -> str | None:
"""Return UTF-8 file content, or None for missing/unreadable files."""
try:
return path.read_text(encoding="utf-8")
except (FileNotFoundError, IsADirectoryError, UnicodeDecodeError, OSError):
return None
def _display_diff_path(path: Path) -> str:
"""Prefer cwd-relative paths in diffs when available."""
try:
return str(path.resolve().relative_to(Path.cwd().resolve()))
except Exception:
return str(path)
def _resolve_skill_manage_paths(args: dict) -> list[Path]:
"""Resolve skill_manage write targets to filesystem paths."""
action = args.get("action")
name = args.get("name")
if not action or not name:
return []
from hermes_agent.tools.skills.manager import _find_skill, _resolve_skill_dir
if action == "create":
skill_dir = _resolve_skill_dir(name, args.get("category"))
return [skill_dir / "SKILL.md"]
existing = _find_skill(name)
if not existing:
return []
skill_dir = Path(existing["path"])
if action in {"edit", "patch"}:
file_path = args.get("file_path")
return [skill_dir / file_path] if file_path else [skill_dir / "SKILL.md"]
if action in {"write_file", "remove_file"}:
file_path = args.get("file_path")
return [skill_dir / file_path] if file_path else []
if action == "delete":
files = [path for path in sorted(skill_dir.rglob("*")) if path.is_file()]
return files
return []
def _resolve_local_edit_paths(tool_name: str, function_args: dict | None) -> list[Path]:
"""Resolve local filesystem targets for write-capable tools."""
if not isinstance(function_args, dict):
return []
if tool_name == "write_file":
path = function_args.get("path")
return [_resolved_path(path)] if path else []
if tool_name == "patch":
path = function_args.get("path")
return [_resolved_path(path)] if path else []
if tool_name == "skill_manage":
return _resolve_skill_manage_paths(function_args)
return []
def capture_local_edit_snapshot(tool_name: str, function_args: dict | None) -> LocalEditSnapshot | None:
"""Capture before-state for local write previews."""
paths = _resolve_local_edit_paths(tool_name, function_args)
if not paths:
return None
snapshot = LocalEditSnapshot(paths=paths)
for path in paths:
snapshot.before[str(path)] = _snapshot_text(path)
return snapshot
def _result_succeeded(result: str | None) -> bool:
"""Conservatively detect whether a tool result represents success."""
if not result:
return False
data = safe_json_loads(result)
if data is None:
return False
if not isinstance(data, dict):
return False
if data.get("error"):
return False
if "success" in data:
return bool(data.get("success"))
return True
def _diff_from_snapshot(snapshot: LocalEditSnapshot | None) -> str | None:
"""Generate unified diff text from a stored before-state and current files."""
if not snapshot:
return None
chunks: list[str] = []
for path in snapshot.paths:
before = snapshot.before.get(str(path))
after = _snapshot_text(path)
if before == after:
continue
display_path = _display_diff_path(path)
diff = "".join(
unified_diff(
[] if before is None else before.splitlines(keepends=True),
[] if after is None else after.splitlines(keepends=True),
fromfile=f"a/{display_path}",
tofile=f"b/{display_path}",
)
)
if diff:
chunks.append(diff)
if not chunks:
return None
return "".join(chunk if chunk.endswith("\n") else chunk + "\n" for chunk in chunks)
def extract_edit_diff(
tool_name: str,
result: str | None,
*,
function_args: dict | None = None,
snapshot: LocalEditSnapshot | None = None,
) -> str | None:
"""Extract a unified diff from a file-edit tool result."""
if tool_name == "patch" and result:
data = safe_json_loads(result)
if isinstance(data, dict):
diff = data.get("diff")
if isinstance(diff, str) and diff.strip():
return diff
if tool_name not in {"write_file", "patch", "skill_manage"}:
return None
if not _result_succeeded(result):
return None
return _diff_from_snapshot(snapshot)
def _emit_inline_diff(diff_text: str, print_fn) -> bool:
"""Emit rendered diff text through the CLI's prompt_toolkit-safe printer."""
if print_fn is None or not diff_text:
return False
try:
print_fn(" ┊ review diff")
for line in diff_text.rstrip("\n").splitlines():
print_fn(line)
return True
except Exception:
return False
def _render_inline_unified_diff(diff: str) -> list[str]:
"""Render unified diff lines in Hermes' inline transcript style."""
rendered: list[str] = []
from_file = None
to_file = None
for raw_line in diff.splitlines():
if raw_line.startswith("--- "):
from_file = raw_line[4:].strip()
continue
if raw_line.startswith("+++ "):
to_file = raw_line[4:].strip()
if from_file or to_file:
rendered.append(f"{_diff_file()}{from_file or 'a/?'}{to_file or 'b/?'}{_ANSI_RESET}")
continue
if raw_line.startswith("@@"):
rendered.append(f"{_diff_hunk()}{raw_line}{_ANSI_RESET}")
continue
if raw_line.startswith("-"):
rendered.append(f"{_diff_minus()}{raw_line}{_ANSI_RESET}")
continue
if raw_line.startswith("+"):
rendered.append(f"{_diff_plus()}{raw_line}{_ANSI_RESET}")
continue
if raw_line.startswith(" "):
rendered.append(f"{_diff_dim()}{raw_line}{_ANSI_RESET}")
continue
if raw_line:
rendered.append(raw_line)
return rendered
def _split_unified_diff_sections(diff: str) -> list[str]:
"""Split a unified diff into per-file sections."""
sections: list[list[str]] = []
current: list[str] = []
for line in diff.splitlines():
if line.startswith("--- ") and current:
sections.append(current)
current = [line]
continue
current.append(line)
if current:
sections.append(current)
return ["\n".join(section) for section in sections if section]
def _summarize_rendered_diff_sections(
diff: str,
*,
max_files: int = _MAX_INLINE_DIFF_FILES,
max_lines: int = _MAX_INLINE_DIFF_LINES,
) -> list[str]:
"""Render diff sections while capping file count and total line count."""
sections = _split_unified_diff_sections(diff)
rendered: list[str] = []
omitted_files = 0
omitted_lines = 0
for idx, section in enumerate(sections):
if idx >= max_files:
omitted_files += 1
omitted_lines += len(_render_inline_unified_diff(section))
continue
section_lines = _render_inline_unified_diff(section)
remaining_budget = max_lines - len(rendered)
if remaining_budget <= 0:
omitted_lines += len(section_lines)
omitted_files += 1
continue
if len(section_lines) <= remaining_budget:
rendered.extend(section_lines)
continue
rendered.extend(section_lines[:remaining_budget])
omitted_lines += len(section_lines) - remaining_budget
omitted_files += 1 + max(0, len(sections) - idx - 1)
for leftover in sections[idx + 1:]:
omitted_lines += len(_render_inline_unified_diff(leftover))
break
if omitted_files or omitted_lines:
summary = f"… omitted {omitted_lines} diff line(s)"
if omitted_files:
summary += f" across {omitted_files} additional file(s)/section(s)"
rendered.append(f"{_diff_hunk()}{summary}{_ANSI_RESET}")
return rendered
def render_edit_diff_with_delta(
tool_name: str,
result: str | None,
*,
function_args: dict | None = None,
snapshot: LocalEditSnapshot | None = None,
print_fn=None,
) -> bool:
"""Render an edit diff inline without taking over the terminal UI."""
diff = extract_edit_diff(
tool_name,
result,
function_args=function_args,
snapshot=snapshot,
)
if not diff:
return False
try:
rendered_lines = _summarize_rendered_diff_sections(diff)
except Exception as exc:
logger.debug("Could not render inline diff: %s", exc)
return False
return _emit_inline_diff("\n".join(rendered_lines), print_fn)
# =========================================================================
# KawaiiSpinner
# =========================================================================
@@ -602,46 +231,7 @@ class KawaiiSpinner:
"analyzing", "computing", "synthesizing", "formulating", "brainstorming",
]
@classmethod
def get_waiting_faces(cls) -> list:
"""Return waiting faces from the active skin, falling back to KAWAII_WAITING."""
try:
skin = _get_skin()
if skin:
faces = skin.spinner.get("waiting_faces", [])
if faces:
return faces
except Exception:
pass
return cls.KAWAII_WAITING
@classmethod
def get_thinking_faces(cls) -> list:
"""Return thinking faces from the active skin, falling back to KAWAII_THINKING."""
try:
skin = _get_skin()
if skin:
faces = skin.spinner.get("thinking_faces", [])
if faces:
return faces
except Exception:
pass
return cls.KAWAII_THINKING
@classmethod
def get_thinking_verbs(cls) -> list:
"""Return thinking verbs from the active skin, falling back to THINKING_VERBS."""
try:
skin = _get_skin()
if skin:
verbs = skin.spinner.get("thinking_verbs", [])
if verbs:
return verbs
except Exception:
pass
return cls.THINKING_VERBS
def __init__(self, message: str = "", spinner_type: str = 'dots', print_fn=None):
def __init__(self, message: str = "", spinner_type: str = 'dots'):
self.message = message
self.spinner_frames = self.SPINNERS.get(spinner_type, self.SPINNERS['dots'])
self.running = False
@@ -649,26 +239,12 @@ class KawaiiSpinner:
self.frame_idx = 0
self.start_time = None
self.last_line_len = 0
# Optional callable to route all output through (e.g. a no-op for silent
# background agents). When set, bypasses self._out entirely so that
# agents with _print_fn overridden remain fully silent.
self._print_fn = print_fn
# Capture stdout NOW, before any redirect_stdout(devnull) from
# child agents can replace sys.stdout with a black hole.
self._out = sys.stdout
def _write(self, text: str, end: str = '\n', flush: bool = False):
"""Write to the stdout captured at spinner creation time.
If a print_fn was supplied at construction, all output is routed through
it instead allowing callers to silence the spinner with a no-op lambda.
"""
if self._print_fn is not None:
try:
self._print_fn(text)
except Exception:
pass
return
"""Write to the stdout captured at spinner creation time."""
try:
self._out.write(text + end)
if flush:
@@ -694,11 +270,11 @@ class KawaiiSpinner:
The CLI already drives a TUI widget (_spinner_text) for spinner display,
so KawaiiSpinner's \\r-based animation is redundant under StdoutProxy.
"""
try:
from prompt_toolkit.patch_stdout import StdoutProxy
return isinstance(self._out, StdoutProxy)
except ImportError:
return False
out = self._out
# StdoutProxy has a 'raw' attribute (bool) that plain file objects lack.
if hasattr(out, 'raw') and type(out).__name__ == 'StdoutProxy':
return True
return False
def _animate(self):
# When stdout is not a real terminal (e.g. Docker, systemd, pipe),
@@ -729,7 +305,6 @@ class KawaiiSpinner:
time.sleep(0.1)
continue
frame = self.spinner_frames[self.frame_idx % len(self.spinner_frames)]
assert self.start_time is not None # start() sets it before thread starts
elapsed = time.time() - self.start_time
if wings:
left, right = wings[self.frame_idx % len(wings)]
@@ -798,6 +373,46 @@ 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)
# =========================================================================
@@ -813,19 +428,23 @@ def _detect_tool_failure(tool_name: str, result: str | None) -> tuple[bool, str]
return False, ""
if tool_name == "terminal":
data = safe_json_loads(result)
if isinstance(data, dict):
try:
data = json.loads(result)
exit_code = data.get("exit_code")
if exit_code is not None and exit_code != 0:
return True, f" [exit {exit_code}]"
except (json.JSONDecodeError, TypeError, AttributeError):
logger.debug("Could not parse terminal result as JSON for exit code check")
return False, ""
# Memory-specific: distinguish "full" from real errors
if tool_name == "memory":
data = safe_json_loads(result)
if isinstance(data, dict):
try:
data = json.loads(result)
if data.get("success") is False and "exceed the limit" in data.get("error", ""):
return True, " [full]"
except (json.JSONDecodeError, TypeError, AttributeError):
logger.debug("Could not parse memory result as JSON for capacity check")
# Generic heuristic for non-terminal tools
lower = result[:500].lower()
@@ -851,14 +470,10 @@ def get_cute_tool_message(
def _trunc(s, n=40):
s = str(s)
if _tool_preview_max_len == 0:
return s # no limit
return (s[:n-3] + "...") if len(s) > n else s
def _path(p, n=35):
p = str(p)
if _tool_preview_max_len == 0:
return p # no limit
return ("..." + p[-(n-3):]) if len(p) > n else p
def _wrap(line: str) -> str:
@@ -921,6 +536,8 @@ def get_cute_tool_message(
return _wrap(f"┊ ◀️ back {dur}")
if tool_name == "browser_press":
return _wrap(f"┊ ⌨️ press {args.get('key', '?')} {dur}")
if tool_name == "browser_close":
return _wrap(f"┊ 🚪 close browser {dur}")
if tool_name == "browser_get_images":
return _wrap(f"┊ 🖼️ images extracting {dur}")
if tool_name == "browser_vision":
@@ -942,13 +559,9 @@ def get_cute_tool_message(
if action == "add":
return _wrap(f"┊ 🧠 memory +{target}: \"{_trunc(args.get('content', ''), 30)}\" {dur}")
elif action == "replace":
old = args.get("old_text") or ""
old = old if old else "<missing old_text>"
return _wrap(f"┊ 🧠 memory ~{target}: \"{_trunc(old, 20)}\" {dur}")
return _wrap(f"┊ 🧠 memory ~{target}: \"{_trunc(args.get('old_text', ''), 20)}\" {dur}")
elif action == "remove":
old = args.get("old_text") or ""
old = old if old else "<missing old_text>"
return _wrap(f"┊ 🧠 memory -{target}: \"{_trunc(old, 20)}\" {dur}")
return _wrap(f"┊ 🧠 memory -{target}: \"{_trunc(args.get('old_text', ''), 20)}\" {dur}")
return _wrap(f"┊ 🧠 memory {action} {dur}")
if tool_name == "skills_list":
return _wrap(f"┊ 📚 skills list {args.get('category', 'all')} {dur}")
@@ -1000,4 +613,118 @@ def get_cute_tool_message(
# Honcho session line (one-liner with clickable OSC 8 hyperlink)
# =========================================================================
_DIM = "\033[2m"
_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\\"
def honcho_session_line(workspace: str, session_name: str) -> str:
"""One-line session indicator: `Honcho session: <clickable name>`."""
url = honcho_session_url(workspace, session_name)
linked_name = _osc8_link(url, f"{_SKY_BLUE}{session_name}{_ANSI_RESET}")
return f"{_DIM}Honcho session:{_ANSI_RESET} {linked_name}"
def write_tty(text: str) -> None:
"""Write directly to /dev/tty, bypassing stdout capture."""
try:
fd = os.open("/dev/tty", os.O_WRONLY)
os.write(fd, text.encode("utf-8"))
os.close(fd)
except OSError:
sys.stdout.write(text)
sys.stdout.flush()
# =========================================================================
# Context pressure display (CLI user-facing warnings)
# =========================================================================
# ANSI color codes for context pressure tiers
_CYAN = "\033[36m"
_YELLOW = "\033[33m"
_BOLD = "\033[1m"
_DIM_ANSI = "\033[2m"
# Bar characters
_BAR_FILLED = ""
_BAR_EMPTY = ""
_BAR_WIDTH = 20
def format_context_pressure(
compaction_progress: float,
threshold_tokens: int,
threshold_percent: float,
compression_enabled: bool = True,
) -> str:
"""Build a formatted context pressure line for CLI display.
The bar and percentage show progress toward the compaction threshold,
NOT the raw context window. 100% = compaction fires.
Args:
compaction_progress: How close to compaction (0.01.0, 1.0 = fires).
threshold_tokens: Compaction threshold in tokens.
threshold_percent: Compaction threshold as a fraction of context window.
compression_enabled: Whether auto-compression is active.
"""
pct_int = int(compaction_progress * 100)
filled = min(int(compaction_progress * _BAR_WIDTH), _BAR_WIDTH)
bar = _BAR_FILLED * filled + _BAR_EMPTY * (_BAR_WIDTH - filled)
threshold_k = f"{threshold_tokens // 1000}k" if threshold_tokens >= 1000 else str(threshold_tokens)
threshold_pct_int = int(threshold_percent * 100)
color = f"{_BOLD}{_YELLOW}"
icon = ""
if compression_enabled:
hint = "compaction approaching"
else:
hint = "no auto-compaction"
return (
f" {color}{icon} context {bar} {pct_int}% to compaction{_ANSI_RESET}"
f" {_DIM_ANSI}{threshold_k} threshold ({threshold_pct_int}%) · {hint}{_ANSI_RESET}"
)
def format_context_pressure_gateway(
compaction_progress: float,
threshold_percent: float,
compression_enabled: bool = True,
) -> str:
"""Build a plain-text context pressure notification for messaging platforms.
No ANSI just Unicode and plain text suitable for Telegram/Discord/etc.
The percentage shows progress toward the compaction threshold.
"""
pct_int = int(compaction_progress * 100)
filled = min(int(compaction_progress * _BAR_WIDTH), _BAR_WIDTH)
bar = _BAR_FILLED * filled + _BAR_EMPTY * (_BAR_WIDTH - filled)
threshold_pct_int = int(threshold_percent * 100)
icon = "⚠️"
if compression_enabled:
hint = f"Context compaction approaching (threshold: {threshold_pct_int}% of window)."
else:
hint = "Auto-compaction is disabled — context may be truncated."
return f"{icon} Context: {bar} {pct_int}% to compaction\n{hint}"

View File

@@ -10,7 +10,7 @@ multi-platform architecture with additional cost estimation and platform
breakdown capabilities.
Usage:
from hermes_agent.agent.insights import InsightsEngine
from agent.insights import InsightsEngine
engine = InsightsEngine(db)
report = engine.generate(days=30)
print(engine.format_terminal(report))
@@ -22,11 +22,12 @@ from collections import Counter, defaultdict
from datetime import datetime
from typing import Any, Dict, List
from hermes_agent.providers.pricing import (
from agent.usage_pricing import (
CanonicalUsage,
DEFAULT_PRICING,
estimate_usage_cost,
format_duration_compact,
get_pricing,
has_known_pricing,
)
@@ -38,6 +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,
@@ -124,7 +134,6 @@ class InsightsEngine:
# Gather raw data
sessions = self._get_sessions(cutoff, source)
tool_usage = self._get_tool_usage(cutoff, source)
skill_usage = self._get_skill_usage(cutoff, source)
message_stats = self._get_message_stats(cutoff, source)
if not sessions:
@@ -136,15 +145,6 @@ class InsightsEngine:
"models": [],
"platforms": [],
"tools": [],
"skills": {
"summary": {
"total_skill_loads": 0,
"total_skill_edits": 0,
"total_skill_actions": 0,
"distinct_skills_used": 0,
},
"top_skills": [],
},
"activity": {},
"top_sessions": [],
}
@@ -154,7 +154,6 @@ class InsightsEngine:
models = self._compute_model_breakdown(sessions)
platforms = self._compute_platform_breakdown(sessions)
tools = self._compute_tool_breakdown(tool_usage)
skills = self._compute_skill_breakdown(skill_usage)
activity = self._compute_activity_patterns(sessions)
top_sessions = self._compute_top_sessions(sessions)
@@ -167,7 +166,6 @@ class InsightsEngine:
"models": models,
"platforms": platforms,
"tools": tools,
"skills": skills,
"activity": activity,
"top_sessions": top_sessions,
}
@@ -296,82 +294,6 @@ class InsightsEngine:
for name, count in tool_counts.most_common()
]
def _get_skill_usage(self, cutoff: float, source: str = None) -> List[Dict]:
"""Extract per-skill usage from assistant tool calls."""
skill_counts: Dict[str, Dict[str, Any]] = {}
if source:
cursor = self._conn.execute(
"""SELECT m.tool_calls, m.timestamp
FROM messages m
JOIN sessions s ON s.id = m.session_id
WHERE s.started_at >= ? AND s.source = ?
AND m.role = 'assistant' AND m.tool_calls IS NOT NULL""",
(cutoff, source),
)
else:
cursor = self._conn.execute(
"""SELECT m.tool_calls, m.timestamp
FROM messages m
JOIN sessions s ON s.id = m.session_id
WHERE s.started_at >= ?
AND m.role = 'assistant' AND m.tool_calls IS NOT NULL""",
(cutoff,),
)
for row in cursor.fetchall():
try:
calls = row["tool_calls"]
if isinstance(calls, str):
calls = json.loads(calls)
if not isinstance(calls, list):
continue
except (json.JSONDecodeError, TypeError):
continue
timestamp = row["timestamp"]
for call in calls:
if not isinstance(call, dict):
continue
func = call.get("function", {})
tool_name = func.get("name")
if tool_name not in {"skill_view", "skill_manage"}:
continue
args = func.get("arguments")
if isinstance(args, str):
try:
args = json.loads(args)
except (json.JSONDecodeError, TypeError):
continue
if not isinstance(args, dict):
continue
skill_name = args.get("name")
if not isinstance(skill_name, str) or not skill_name.strip():
continue
entry = skill_counts.setdefault(
skill_name,
{
"skill": skill_name,
"view_count": 0,
"manage_count": 0,
"last_used_at": None,
},
)
if tool_name == "skill_view":
entry["view_count"] += 1
else:
entry["manage_count"] += 1
if timestamp is not None and (
entry["last_used_at"] is None or timestamp > entry["last_used_at"]
):
entry["last_used_at"] = timestamp
return list(skill_counts.values())
def _get_message_stats(self, cutoff: float, source: str = None) -> Dict:
"""Get aggregate message statistics."""
if source:
@@ -563,46 +485,6 @@ class InsightsEngine:
})
return result
def _compute_skill_breakdown(self, skill_usage: List[Dict]) -> Dict[str, Any]:
"""Process per-skill usage into summary + ranked list."""
total_skill_loads = sum(s["view_count"] for s in skill_usage) if skill_usage else 0
total_skill_edits = sum(s["manage_count"] for s in skill_usage) if skill_usage else 0
total_skill_actions = total_skill_loads + total_skill_edits
top_skills = []
for skill in skill_usage:
total_count = skill["view_count"] + skill["manage_count"]
percentage = (total_count / total_skill_actions * 100) if total_skill_actions else 0
top_skills.append({
"skill": skill["skill"],
"view_count": skill["view_count"],
"manage_count": skill["manage_count"],
"total_count": total_count,
"percentage": percentage,
"last_used_at": skill.get("last_used_at"),
})
top_skills.sort(
key=lambda s: (
s["total_count"],
s["view_count"],
s["manage_count"],
s["last_used_at"] or 0,
s["skill"],
),
reverse=True,
)
return {
"summary": {
"total_skill_loads": total_skill_loads,
"total_skill_edits": total_skill_edits,
"total_skill_actions": total_skill_actions,
"distinct_skills_used": len(skill_usage),
},
"top_skills": top_skills,
}
def _compute_activity_patterns(self, sessions: List[Dict]) -> Dict:
"""Analyze activity patterns by day of week and hour."""
day_counts = Counter() # 0=Monday ... 6=Sunday
@@ -762,7 +644,10 @@ class InsightsEngine:
lines.append(f" Sessions: {o['total_sessions']:<12} Messages: {o['total_messages']:,}")
lines.append(f" Tool calls: {o['total_tool_calls']:<12,} User messages: {o['user_messages']:,}")
lines.append(f" Input tokens: {o['total_input_tokens']:<12,} Output tokens: {o['total_output_tokens']:,}")
lines.append(f" Total tokens: {o['total_tokens']:,}")
cost_str = f"${o['estimated_cost']:.2f}"
if o.get("models_without_pricing"):
cost_str += " *"
lines.append(f" Total tokens: {o['total_tokens']:<12,} Est. cost: {cost_str}")
if o["total_hours"] > 0:
lines.append(f" Active time: ~{_format_duration(o['total_hours'] * 3600):<11} Avg session: ~{_format_duration(o['avg_session_duration'])}")
lines.append(f" Avg msgs/session: {o['avg_messages_per_session']:.1f}")
@@ -772,10 +657,16 @@ class InsightsEngine:
if report["models"]:
lines.append(" 🤖 Models Used")
lines.append(" " + "" * 56)
lines.append(f" {'Model':<30} {'Sessions':>8} {'Tokens':>12}")
lines.append(f" {'Model':<30} {'Sessions':>8} {'Tokens':>12} {'Cost':>8}")
for m in report["models"]:
model_name = m["model"][:28]
lines.append(f" {model_name:<30} {m['sessions']:>8} {m['total_tokens']:>12,}")
if m.get("has_pricing"):
cost_cell = f"${m['cost']:>6.2f}"
else:
cost_cell = " N/A"
lines.append(f" {model_name:<30} {m['sessions']:>8} {m['total_tokens']:>12,} {cost_cell}")
if o.get("models_without_pricing"):
lines.append(" * Cost N/A for custom/self-hosted models")
lines.append("")
# Platform breakdown
@@ -798,28 +689,6 @@ class InsightsEngine:
lines.append(f" ... and {len(report['tools']) - 15} more tools")
lines.append("")
# Skill usage
skills = report.get("skills", {})
top_skills = skills.get("top_skills", [])
if top_skills:
lines.append(" 🧠 Top Skills")
lines.append(" " + "" * 56)
lines.append(f" {'Skill':<28} {'Loads':>7} {'Edits':>7} {'Last used':>11}")
for skill in top_skills[:10]:
last_used = ""
if skill.get("last_used_at"):
last_used = datetime.fromtimestamp(skill["last_used_at"]).strftime("%b %d")
lines.append(
f" {skill['skill'][:28]:<28} {skill['view_count']:>7,} {skill['manage_count']:>7,} {last_used:>11}"
)
summary = skills.get("summary", {})
lines.append(
f" Distinct skills: {summary.get('distinct_skills_used', 0)} "
f"Loads: {summary.get('total_skill_loads', 0):,} "
f"Edits: {summary.get('total_skill_edits', 0):,}"
)
lines.append("")
# Activity patterns
act = report.get("activity", {})
if act.get("by_day"):
@@ -878,6 +747,10 @@ class InsightsEngine:
# Overview
lines.append(f"**Sessions:** {o['total_sessions']} | **Messages:** {o['total_messages']:,} | **Tool calls:** {o['total_tool_calls']:,}")
lines.append(f"**Tokens:** {o['total_tokens']:,} (in: {o['total_input_tokens']:,} / out: {o['total_output_tokens']:,})")
cost_note = ""
if o.get("models_without_pricing"):
cost_note = " _(excludes custom/self-hosted models)_"
lines.append(f"**Est. cost:** ${o['estimated_cost']:.2f}{cost_note}")
if o["total_hours"] > 0:
lines.append(f"**Active time:** ~{_format_duration(o['total_hours'] * 3600)} | **Avg session:** ~{_format_duration(o['avg_session_duration'])}")
lines.append("")
@@ -886,7 +759,8 @@ class InsightsEngine:
if report["models"]:
lines.append("**🤖 Models:**")
for m in report["models"][:5]:
lines.append(f" {m['model'][:25]}{m['sessions']} sessions, {m['total_tokens']:,} tokens")
cost_str = f"${m['cost']:.2f}" if m.get("has_pricing") else "N/A"
lines.append(f" {m['model'][:25]}{m['sessions']} sessions, {m['total_tokens']:,} tokens, {cost_str}")
lines.append("")
# Platforms (if multi-platform)
@@ -903,18 +777,6 @@ class InsightsEngine:
lines.append(f" {t['tool']}{t['count']:,} calls ({t['percentage']:.1f}%)")
lines.append("")
skills = report.get("skills", {})
if skills.get("top_skills"):
lines.append("**🧠 Top Skills:**")
for skill in skills["top_skills"][:5]:
suffix = ""
if skill.get("last_used_at"):
suffix = f", last used {datetime.fromtimestamp(skill['last_used_at']).strftime('%b %d')}"
lines.append(
f" {skill['skill']}{skill['view_count']:,} loads, {skill['manage_count']:,} edits{suffix}"
)
lines.append("")
# Activity summary
act = report.get("activity", {})
if act.get("busiest_day") and act.get("busiest_hour"):

View File

@@ -5,6 +5,7 @@ and run_agent.py for pre-flight context checks.
"""
import logging
import os
import re
import time
from pathlib import Path
@@ -14,9 +15,7 @@ from urllib.parse import urlparse
import requests
import yaml
from hermes_agent.utils import base_url_host_matches, base_url_hostname
from hermes_agent.constants import OPENROUTER_MODELS_URL
from hermes_constants import OPENROUTER_MODELS_URL
logger = logging.getLogger(__name__)
@@ -25,23 +24,13 @@ logger = logging.getLogger(__name__)
# are preserved so the full model name reaches cache lookups and server queries.
_PROVIDER_PREFIXES: frozenset[str] = frozenset({
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"gemini", "ollama-cloud", "zai", "kimi-coding", "kimi-coding-cn", "minimax", "minimax-cn", "anthropic", "deepseek",
"zai", "kimi-coding", "minimax", "minimax-cn", "anthropic", "deepseek",
"opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
"qwen-oauth",
"xiaomi",
"arcee",
"custom", "local",
# Common aliases
"google", "google-gemini", "google-ai-studio",
"glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
"github-models", "kimi", "moonshot", "kimi-cn", "moonshot-cn", "claude", "deep-seek",
"ollama",
"github-models", "kimi", "moonshot", "claude", "deep-seek",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
"mimo", "xiaomi-mimo",
"arcee-ai", "arceeai",
"xai", "x-ai", "x.ai", "grok",
"nvidia", "nim", "nvidia-nim", "nemotron",
"qwen-portal",
})
@@ -91,11 +80,6 @@ CONTEXT_PROBE_TIERS = [
# Default context length when no detection method succeeds.
DEFAULT_FALLBACK_CONTEXT = CONTEXT_PROBE_TIERS[0]
# Minimum context length required to run Hermes Agent. Models with fewer
# tokens cannot maintain enough working memory for tool-calling workflows.
# Sessions, model switches, and cron jobs should reject models below this.
MINIMUM_CONTEXT_LENGTH = 64_000
# Thin fallback defaults — only broad model family patterns.
# These fire only when provider is unknown AND models.dev/OpenRouter/Anthropic
# all miss. Replaced the previous 80+ entry dict.
@@ -105,79 +89,30 @@ DEFAULT_CONTEXT_LENGTHS = {
# fuzzy-match collisions (e.g. "anthropic/claude-sonnet-4" is a
# substring of "anthropic/claude-sonnet-4.6").
# OpenRouter-prefixed models resolve via OpenRouter live API or models.dev.
"claude-opus-4-7": 1000000,
"claude-opus-4.7": 1000000,
"claude-opus-4-6": 1000000,
"claude-sonnet-4-6": 1000000,
"claude-opus-4.6": 1000000,
"claude-sonnet-4.6": 1000000,
# Catch-all for older Claude models (must sort after specific entries)
"claude": 200000,
# OpenAI — GPT-5 family (most have 400k; specific overrides first)
# Source: https://developers.openai.com/api/docs/models
"gpt-5.4-nano": 400000, # 400k (not 1.05M like full 5.4)
"gpt-5.4-mini": 400000, # 400k (not 1.05M like full 5.4)
"gpt-5.4": 1050000, # GPT-5.4, GPT-5.4 Pro (1.05M context)
"gpt-5.1-chat": 128000, # Chat variant has 128k context
"gpt-5": 400000, # GPT-5.x base, mini, codex variants (400k)
# OpenAI
"gpt-4.1": 1047576,
"gpt-5": 128000,
"gpt-4": 128000,
# Google
"gemini": 1048576,
# Gemma (open models served via AI Studio)
"gemma-4-31b": 256000,
"gemma-3": 131072,
"gemma": 8192, # fallback for older gemma models
# DeepSeek
"deepseek": 128000,
# Meta
"llama": 131072,
# Qwen — specific model families before the catch-all.
# Official docs: https://help.aliyun.com/zh/model-studio/developer-reference/
"qwen3-coder-plus": 1000000, # 1M context
"qwen3-coder": 262144, # 256K context
# Qwen
"qwen": 131072,
# MiniMax — official docs: 204,800 context for all models
# https://platform.minimax.io/docs/api-reference/text-anthropic-api
# MiniMax
"minimax": 204800,
# GLM
"glm": 202752,
# xAI Grok — xAI /v1/models does not return context_length metadata,
# so these hardcoded fallbacks prevent Hermes from probing-down to
# the default 128k when the user points at https://api.x.ai/v1
# via a custom provider. Values sourced from models.dev (2026-04).
# Keys use substring matching (longest-first), so e.g. "grok-4.20"
# matches "grok-4.20-0309-reasoning" / "-non-reasoning" / "-multi-agent-0309".
"grok-code-fast": 256000, # grok-code-fast-1
"grok-4-1-fast": 2000000, # grok-4-1-fast-(non-)reasoning
"grok-2-vision": 8192, # grok-2-vision, -1212, -latest
"grok-4-fast": 2000000, # grok-4-fast-(non-)reasoning
"grok-4.20": 2000000, # grok-4.20-0309-(non-)reasoning, -multi-agent-0309
"grok-4": 256000, # grok-4, grok-4-0709
"grok-3": 131072, # grok-3, grok-3-mini, grok-3-fast, grok-3-mini-fast
"grok-2": 131072, # grok-2, grok-2-1212, grok-2-latest
"grok": 131072, # catch-all (grok-beta, unknown grok-*)
# Kimi
"kimi": 262144,
# Nemotron — NVIDIA's open-weights series (128K context across all sizes)
"nemotron": 131072,
# Arcee
"trinity": 262144,
# OpenRouter
"elephant": 262144,
# Hugging Face Inference Providers — model IDs use org/name format
"Qwen/Qwen3.5-397B-A17B": 131072,
"Qwen/Qwen3.5-35B-A3B": 131072,
"deepseek-ai/DeepSeek-V3.2": 65536,
"moonshotai/Kimi-K2.5": 262144,
"moonshotai/Kimi-K2.6": 262144,
"moonshotai/Kimi-K2-Thinking": 262144,
"MiniMaxAI/MiniMax-M2.5": 204800,
"XiaomiMiMo/MiMo-V2-Flash": 256000,
"mimo-v2-pro": 1000000,
"mimo-v2-omni": 256000,
"mimo-v2-flash": 256000,
"zai-org/GLM-5": 202752,
}
_CONTEXT_LENGTH_KEYS = (
@@ -201,27 +136,14 @@ _MAX_COMPLETION_KEYS = (
# Local server hostnames / address patterns
_LOCAL_HOSTS = ("localhost", "127.0.0.1", "::1", "0.0.0.0")
# Docker / Podman / Lima DNS names that resolve to the host machine
_CONTAINER_LOCAL_SUFFIXES = (
".docker.internal",
".containers.internal",
".lima.internal",
)
def _normalize_base_url(base_url: str) -> str:
return (base_url or "").strip().rstrip("/")
def _auth_headers(api_key: str = "") -> Dict[str, str]:
token = str(api_key or "").strip()
if not token:
return {}
return {"Authorization": f"Bearer {token}"}
def _is_openrouter_base_url(base_url: str) -> bool:
return base_url_host_matches(base_url, "openrouter.ai")
return "openrouter.ai" in _normalize_base_url(base_url).lower()
def _is_custom_endpoint(base_url: str) -> bool:
@@ -235,26 +157,15 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"api.anthropic.com": "anthropic",
"api.z.ai": "zai",
"api.moonshot.ai": "kimi-coding",
"api.moonshot.cn": "kimi-coding-cn",
"api.kimi.com": "kimi-coding",
"api.arcee.ai": "arcee",
"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",
"api.deepseek.com": "deepseek",
"api.githubcopilot.com": "copilot",
"models.github.ai": "copilot",
"api.fireworks.ai": "fireworks",
"opencode.ai": "opencode-go",
"api.x.ai": "xai",
"integrate.api.nvidia.com": "nvidia",
"api.xiaomimimo.com": "xiaomi",
"xiaomimimo.com": "xiaomi",
"ollama.com": "ollama-cloud",
}
@@ -293,9 +204,6 @@ def is_local_endpoint(base_url: str) -> bool:
return False
if host in _LOCAL_HOSTS:
return True
# Docker / Podman / Lima internal DNS names (e.g. host.docker.internal)
if any(host.endswith(suffix) for suffix in _CONTAINER_LOCAL_SUFFIXES):
return True
# RFC-1918 private ranges and link-local
import ipaddress
try:
@@ -319,7 +227,7 @@ def is_local_endpoint(base_url: str) -> bool:
return False
def detect_local_server_type(base_url: str, api_key: str = "") -> Optional[str]:
def detect_local_server_type(base_url: str) -> Optional[str]:
"""Detect which local server is running at base_url by probing known endpoints.
Returns one of: "ollama", "lm-studio", "vllm", "llamacpp", or None.
@@ -331,10 +239,8 @@ def detect_local_server_type(base_url: str, api_key: str = "") -> Optional[str]:
if server_url.endswith("/v1"):
server_url = server_url[:-3]
headers = _auth_headers(api_key)
try:
with httpx.Client(timeout=2.0, headers=headers) as client:
with httpx.Client(timeout=2.0) as client:
# LM Studio exposes /api/v1/models — check first (most specific)
try:
r = client.get(f"{server_url}/api/v1/models")
@@ -521,59 +427,6 @@ def fetch_endpoint_model_metadata(
headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
last_error: Optional[Exception] = None
if is_local_endpoint(normalized):
try:
if detect_local_server_type(normalized, api_key=api_key) == "lm-studio":
server_url = normalized[:-3].rstrip("/") if normalized.endswith("/v1") else normalized
response = requests.get(
server_url.rstrip("/") + "/api/v1/models",
headers=headers,
timeout=10,
)
response.raise_for_status()
payload = response.json()
cache: Dict[str, Dict[str, Any]] = {}
for model in payload.get("models", []):
if not isinstance(model, dict):
continue
model_id = model.get("key") or model.get("id")
if not model_id:
continue
entry: Dict[str, Any] = {"name": model.get("name", model_id)}
context_length = None
for inst in model.get("loaded_instances", []) or []:
if not isinstance(inst, dict):
continue
cfg = inst.get("config", {})
ctx = cfg.get("context_length") if isinstance(cfg, dict) else None
if isinstance(ctx, int) and ctx > 0:
context_length = ctx
break
if context_length is None:
context_length = _extract_context_length(model)
if context_length is not None:
entry["context_length"] = context_length
max_completion_tokens = _extract_max_completion_tokens(model)
if max_completion_tokens is not None:
entry["max_completion_tokens"] = max_completion_tokens
pricing = _extract_pricing(model)
if pricing:
entry["pricing"] = pricing
_add_model_aliases(cache, model_id, entry)
alt_id = model.get("id")
if isinstance(alt_id, str) and alt_id and alt_id != model_id:
_add_model_aliases(cache, alt_id, entry)
_endpoint_model_metadata_cache[normalized] = cache
_endpoint_model_metadata_cache_time[normalized] = time.time()
return cache
except Exception as exc:
last_error = exc
for candidate in candidates:
url = candidate.rstrip("/") + "/models"
try:
@@ -636,8 +489,8 @@ def fetch_endpoint_model_metadata(
def _get_context_cache_path() -> Path:
"""Return path to the persistent context length cache file."""
from hermes_agent.constants import get_hermes_home
return get_hermes_home() / "context_length_cache.yaml"
hermes_home = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
return hermes_home / "context_length_cache.yaml"
def _load_context_cache() -> Dict[str, int]:
@@ -718,49 +571,6 @@ 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).
@@ -780,62 +590,7 @@ def _model_id_matches(candidate_id: str, lookup_model: str) -> bool:
return False
def query_ollama_num_ctx(model: str, base_url: str, api_key: str = "") -> Optional[int]:
"""Query an Ollama server for the model's context length.
Returns the model's maximum context from GGUF metadata via ``/api/show``,
or the explicit ``num_ctx`` from the Modelfile if set. Returns None if
the server is unreachable or not Ollama.
This is the value that should be passed as ``num_ctx`` in Ollama chat
requests to override the default 2048.
"""
import httpx
bare_model = _strip_provider_prefix(model)
server_url = base_url.rstrip("/")
if server_url.endswith("/v1"):
server_url = server_url[:-3]
try:
server_type = detect_local_server_type(base_url, api_key=api_key)
except Exception:
return None
if server_type != "ollama":
return None
headers = _auth_headers(api_key)
try:
with httpx.Client(timeout=3.0, headers=headers) as client:
resp = client.post(f"{server_url}/api/show", json={"name": bare_model})
if resp.status_code != 200:
return None
data = resp.json()
# Prefer explicit num_ctx from Modelfile parameters (user override)
params = data.get("parameters", "")
if "num_ctx" in params:
for line in params.split("\n"):
if "num_ctx" in line:
parts = line.strip().split()
if len(parts) >= 2:
try:
return int(parts[-1])
except ValueError:
pass
# Fall back to GGUF model_info context_length (training max)
model_info = data.get("model_info", {})
for key, value in model_info.items():
if "context_length" in key and isinstance(value, (int, float)):
return int(value)
except Exception:
pass
return None
def _query_local_context_length(model: str, base_url: str, api_key: str = "") -> Optional[int]:
def _query_local_context_length(model: str, base_url: str) -> Optional[int]:
"""Query a local server for the model's context length."""
import httpx
@@ -848,26 +603,24 @@ def _query_local_context_length(model: str, base_url: str, api_key: str = "") ->
if server_url.endswith("/v1"):
server_url = server_url[:-3]
headers = _auth_headers(api_key)
try:
server_type = detect_local_server_type(base_url, api_key=api_key)
server_type = detect_local_server_type(base_url)
except Exception:
server_type = None
try:
with httpx.Client(timeout=3.0, headers=headers) as client:
with httpx.Client(timeout=3.0) as client:
# Ollama: /api/show returns model details with context info
if server_type == "ollama":
resp = client.post(f"{server_url}/api/show", json={"name": model})
if resp.status_code == 200:
data = resp.json()
# Prefer explicit num_ctx from Modelfile parameters: this is
# the *runtime* context Ollama will actually allocate KV cache
# for. The GGUF model_info.context_length is the training max,
# which can be larger than num_ctx — using it here would let
# Hermes grow conversations past the runtime limit and Ollama
# would silently truncate. Matches query_ollama_num_ctx().
# Check model_info for context length
model_info = data.get("model_info", {})
for key, value in model_info.items():
if "context_length" in key and isinstance(value, (int, float)):
return int(value)
# Check parameters string for num_ctx
params = data.get("parameters", "")
if "num_ctx" in params:
for line in params.split("\n"):
@@ -878,11 +631,6 @@ def _query_local_context_length(model: str, base_url: str, api_key: str = "") ->
return int(parts[-1])
except ValueError:
pass
# Fall back to GGUF model_info context_length (training max)
model_info = data.get("model_info", {})
for key, value in model_info.items():
if "context_length" in key and isinstance(value, (int, float)):
return int(value)
# LM Studio native API: /api/v1/models returns max_context_length.
# This is more reliable than the OpenAI-compat /v1/models which
@@ -1067,7 +815,7 @@ def get_model_context_length(
if not _is_known_provider_base_url(base_url):
# 3. Try querying local server directly
if is_local_endpoint(base_url):
local_ctx = _query_local_context_length(model, base_url, api_key=api_key)
local_ctx = _query_local_context_length(model, base_url)
if local_ctx and local_ctx > 0:
save_context_length(model, base_url, local_ctx)
return local_ctx
@@ -1081,26 +829,12 @@ def get_model_context_length(
# 4. Anthropic /v1/models API (only for regular API keys, not OAuth)
if provider == "anthropic" or (
base_url and base_url_hostname(base_url) == "api.anthropic.com"
base_url and "api.anthropic.com" in base_url
):
ctx = _query_anthropic_context_length(model, base_url or "https://api.anthropic.com", api_key)
if ctx:
return ctx
# 4b. AWS Bedrock — use static context length table.
# Bedrock's ListFoundationModels doesn't expose context window sizes,
# so we maintain a curated table in bedrock_adapter.py.
if provider == "bedrock" or (
base_url
and base_url_hostname(base_url).startswith("bedrock-runtime.")
and base_url_host_matches(base_url, "amazonaws.com")
):
try:
from hermes_agent.providers.bedrock_adapter import get_bedrock_context_length
return get_bedrock_context_length(model)
except ImportError:
pass # boto3 not installed — fall through to generic resolution
# 5. Provider-aware lookups (before generic OpenRouter cache)
# These are provider-specific and take priority over the generic OR cache,
# since the same model can have different context limits per provider
@@ -1118,7 +852,7 @@ def get_model_context_length(
if ctx:
return ctx
if effective_provider:
from hermes_agent.providers.metadata_dev import lookup_models_dev_context
from agent.models_dev import lookup_models_dev_context
ctx = lookup_models_dev_context(effective_provider, model)
if ctx:
return ctx
@@ -1141,7 +875,7 @@ def get_model_context_length(
# 9. Query local server as last resort
if base_url and is_local_endpoint(base_url):
local_ctx = _query_local_context_length(model, base_url, api_key=api_key)
local_ctx = _query_local_context_length(model, base_url)
if local_ctx and local_ctx > 0:
save_context_length(model, base_url, local_ctx)
return local_ctx
@@ -1151,21 +885,16 @@ def get_model_context_length(
def estimate_tokens_rough(text: str) -> int:
"""Rough token estimate (~4 chars/token) for pre-flight checks.
Uses ceiling division so short texts (1-3 chars) never estimate as
0 tokens, which would cause the compressor and pre-flight checks to
systematically undercount when many short tool results are present.
"""
"""Rough token estimate (~4 chars/token) for pre-flight checks."""
if not text:
return 0
return (len(text) + 3) // 4
return len(text) // 4
def estimate_messages_tokens_rough(messages: List[Dict[str, Any]]) -> int:
"""Rough token estimate for a message list (pre-flight only)."""
total_chars = sum(len(str(msg)) for msg in messages)
return (total_chars + 3) // 4
return total_chars // 4
def estimate_request_tokens_rough(
@@ -1188,4 +917,4 @@ def estimate_request_tokens_rough(
total_chars += sum(len(str(msg)) for msg in messages)
if tools:
total_chars += len(str(tools))
return (total_chars + 3) // 4
return total_chars // 4

171
agent/models_dev.py Normal file
View File

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

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agent/prompt_builder.py Normal file
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"""System prompt assembly -- identity, platform hints, skills index, context files.
All functions are stateless. AIAgent._build_system_prompt() calls these to
assemble pieces, then combines them with memory and ephemeral prompts.
"""
import logging
import os
import re
from pathlib import Path
from hermes_constants import get_hermes_home
from typing import Optional
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Context file scanning — detect prompt injection in AGENTS.md, .cursorrules,
# SOUL.md before they get injected into the system prompt.
# ---------------------------------------------------------------------------
_CONTEXT_THREAT_PATTERNS = [
(r'ignore\s+(previous|all|above|prior)\s+instructions', "prompt_injection"),
(r'do\s+not\s+tell\s+the\s+user', "deception_hide"),
(r'system\s+prompt\s+override', "sys_prompt_override"),
(r'disregard\s+(your|all|any)\s+(instructions|rules|guidelines)', "disregard_rules"),
(r'act\s+as\s+(if|though)\s+you\s+(have\s+no|don\'t\s+have)\s+(restrictions|limits|rules)', "bypass_restrictions"),
(r'<!--[^>]*(?:ignore|override|system|secret|hidden)[^>]*-->', "html_comment_injection"),
(r'<\s*div\s+style\s*=\s*["\'].*display\s*:\s*none', "hidden_div"),
(r'translate\s+.*\s+into\s+.*\s+and\s+(execute|run|eval)', "translate_execute"),
(r'curl\s+[^\n]*\$\{?\w*(KEY|TOKEN|SECRET|PASSWORD|CREDENTIAL|API)', "exfil_curl"),
(r'cat\s+[^\n]*(\.env|credentials|\.netrc|\.pgpass)', "read_secrets"),
]
_CONTEXT_INVISIBLE_CHARS = {
'\u200b', '\u200c', '\u200d', '\u2060', '\ufeff',
'\u202a', '\u202b', '\u202c', '\u202d', '\u202e',
}
def _scan_context_content(content: str, filename: str) -> str:
"""Scan context file content for injection. Returns sanitized content."""
findings = []
# Check invisible unicode
for char in _CONTEXT_INVISIBLE_CHARS:
if char in content:
findings.append(f"invisible unicode U+{ord(char):04X}")
# Check threat patterns
for pattern, pid in _CONTEXT_THREAT_PATTERNS:
if re.search(pattern, content, re.IGNORECASE):
findings.append(pid)
if findings:
logger.warning("Context file %s blocked: %s", filename, ", ".join(findings))
return f"[BLOCKED: {filename} contained potential prompt injection ({', '.join(findings)}). Content not loaded.]"
return content
def _find_git_root(start: Path) -> Optional[Path]:
"""Walk *start* and its parents looking for a ``.git`` directory.
Returns the directory containing ``.git``, or ``None`` if we hit the
filesystem root without finding one.
"""
current = start.resolve()
for parent in [current, *current.parents]:
if (parent / ".git").exists():
return parent
return None
_HERMES_MD_NAMES = (".hermes.md", "HERMES.md")
def _find_hermes_md(cwd: Path) -> Optional[Path]:
"""Discover the nearest ``.hermes.md`` or ``HERMES.md``.
Search order: *cwd* first, then each parent directory up to (and
including) the git repository root. Returns the first match, or
``None`` if nothing is found.
"""
stop_at = _find_git_root(cwd)
current = cwd.resolve()
for directory in [current, *current.parents]:
for name in _HERMES_MD_NAMES:
candidate = directory / name
if candidate.is_file():
return candidate
# Stop walking at the git root (or filesystem root).
if stop_at and directory == stop_at:
break
return None
def _strip_yaml_frontmatter(content: str) -> str:
"""Remove optional YAML frontmatter (``---`` delimited) from *content*.
The frontmatter may contain structured config (model overrides, tool
settings) that will be handled separately in a future PR. For now we
strip it so only the human-readable markdown body is injected into the
system prompt.
"""
if content.startswith("---"):
end = content.find("\n---", 3)
if end != -1:
# Skip past the closing --- and any trailing newline
body = content[end + 4:].lstrip("\n")
return body if body else content
return content
# =========================================================================
# Constants
# =========================================================================
DEFAULT_AGENT_IDENTITY = (
"You are Hermes Agent, an intelligent AI assistant created by Nous Research. "
"You are helpful, knowledgeable, and direct. You assist users with a wide "
"range of tasks including answering questions, writing and editing code, "
"analyzing information, creative work, and executing actions via your tools. "
"You communicate clearly, admit uncertainty when appropriate, and prioritize "
"being genuinely useful over being verbose unless otherwise directed below. "
"Be targeted and efficient in your exploration and investigations."
)
MEMORY_GUIDANCE = (
"You have persistent memory across sessions. Save durable facts using the memory "
"tool: user preferences, environment details, tool quirks, and stable conventions. "
"Memory is injected into every turn, so keep it compact and focused on facts that "
"will still matter later.\n"
"Prioritize what reduces future user steering — the most valuable memory is one "
"that prevents the user from having to correct or remind you again. "
"User preferences and recurring corrections matter more than procedural task details.\n"
"Do NOT save task progress, session outcomes, completed-work logs, or temporary TODO "
"state to memory; use session_search to recall those from past transcripts. "
"If you've discovered a new way to do something, solved a problem that could be "
"necessary later, save it as a skill with the skill tool."
)
SESSION_SEARCH_GUIDANCE = (
"When the user references something from a past conversation or you suspect "
"relevant cross-session context exists, use session_search to recall it before "
"asking them to repeat themselves."
)
SKILLS_GUIDANCE = (
"After completing a complex task (5+ tool calls), fixing a tricky error, "
"or discovering a non-trivial workflow, save the approach as a "
"skill with skill_manage so you can reuse it next time.\n"
"When using a skill and finding it outdated, incomplete, or wrong, "
"patch it immediately with skill_manage(action='patch') — don't wait to be asked. "
"Skills that aren't maintained become liabilities."
)
PLATFORM_HINTS = {
"whatsapp": (
"You are on a text messaging communication platform, WhatsApp. "
"Please do not use markdown as it does not render. "
"You can send media files natively: to deliver a file to the user, "
"include MEDIA:/absolute/path/to/file in your response. The file "
"will be sent as a native WhatsApp attachment — images (.jpg, .png, "
".webp) appear as photos, videos (.mp4, .mov) play inline, and other "
"files arrive as downloadable documents. You can also include image "
"URLs in markdown format ![alt](url) and they will be sent as photos."
),
"telegram": (
"You are on a text messaging communication platform, Telegram. "
"Please do not use markdown as it does not render. "
"You can send media files natively: to deliver a file to the user, "
"include MEDIA:/absolute/path/to/file in your response. Images "
"(.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice "
"bubbles, and videos (.mp4) play inline. You can also include image "
"URLs in markdown format ![alt](url) and they will be sent as native photos."
),
"discord": (
"You are in a Discord server or group chat communicating with your user. "
"You can send media files natively: include MEDIA:/absolute/path/to/file "
"in your response. Images (.png, .jpg, .webp) are sent as photo "
"attachments, audio as file attachments. You can also include image URLs "
"in markdown format ![alt](url) and they will be sent as attachments."
),
"slack": (
"You are in a Slack workspace communicating with your user. "
"You can send media files natively: include MEDIA:/absolute/path/to/file "
"in your response. Images (.png, .jpg, .webp) are uploaded as photo "
"attachments, audio as file attachments. You can also include image URLs "
"in markdown format ![alt](url) and they will be uploaded as attachments."
),
"signal": (
"You are on a text messaging communication platform, Signal. "
"Please do not use markdown as it does not render. "
"You can send media files natively: to deliver a file to the user, "
"include MEDIA:/absolute/path/to/file in your response. Images "
"(.png, .jpg, .webp) appear as photos, audio as attachments, and other "
"files arrive as downloadable documents. You can also include image "
"URLs in markdown format ![alt](url) and they will be sent as photos."
),
"email": (
"You are communicating via email. Write clear, well-structured responses "
"suitable for email. Use plain text formatting (no markdown). "
"Keep responses concise but complete. You can send file attachments — "
"include MEDIA:/absolute/path/to/file in your response. The subject line "
"is preserved for threading. Do not include greetings or sign-offs unless "
"contextually appropriate."
),
"cron": (
"You are running as a scheduled cron job. There is no user present — you "
"cannot ask questions, request clarification, or wait for follow-up. Execute "
"the task fully and autonomously, making reasonable decisions where needed. "
"Your final response is automatically delivered to the job's configured "
"destination — put the primary content directly in your response."
),
"cli": (
"You are a CLI AI Agent. Try not to use markdown but simple text "
"renderable inside a terminal."
),
"sms": (
"You are communicating via SMS. Keep responses concise and use plain text "
"only — no markdown, no formatting. SMS messages are limited to ~1600 "
"characters, so be brief and direct."
),
}
CONTEXT_FILE_MAX_CHARS = 20_000
CONTEXT_TRUNCATE_HEAD_RATIO = 0.7
CONTEXT_TRUNCATE_TAIL_RATIO = 0.2
# =========================================================================
# Skills index
# =========================================================================
def _parse_skill_file(skill_file: Path) -> tuple[bool, dict, str]:
"""Read a SKILL.md once and return platform compatibility, frontmatter, and description.
Returns (is_compatible, frontmatter, description). On any error, returns
(True, {}, "") to err on the side of showing the skill.
"""
try:
from tools.skills_tool import _parse_frontmatter, skill_matches_platform
raw = skill_file.read_text(encoding="utf-8")[:2000]
frontmatter, _ = _parse_frontmatter(raw)
if not skill_matches_platform(frontmatter):
return False, {}, ""
desc = ""
raw_desc = frontmatter.get("description", "")
if raw_desc:
desc = str(raw_desc).strip().strip("'\"")
if len(desc) > 60:
desc = desc[:57] + "..."
return True, frontmatter, desc
except Exception as e:
logger.debug("Failed to parse skill file %s: %s", skill_file, e)
return True, {}, ""
def _read_skill_conditions(skill_file: Path) -> dict:
"""Extract conditional activation fields from SKILL.md frontmatter."""
try:
from tools.skills_tool import _parse_frontmatter
raw = skill_file.read_text(encoding="utf-8")[:2000]
frontmatter, _ = _parse_frontmatter(raw)
hermes = frontmatter.get("metadata", {}).get("hermes", {})
return {
"fallback_for_toolsets": hermes.get("fallback_for_toolsets", []),
"requires_toolsets": hermes.get("requires_toolsets", []),
"fallback_for_tools": hermes.get("fallback_for_tools", []),
"requires_tools": hermes.get("requires_tools", []),
}
except Exception as e:
logger.debug("Failed to read skill conditions from %s: %s", skill_file, e)
return {}
def _skill_should_show(
conditions: dict,
available_tools: "set[str] | None",
available_toolsets: "set[str] | None",
) -> bool:
"""Return False if the skill's conditional activation rules exclude it."""
if available_tools is None and available_toolsets is None:
return True # No filtering info — show everything (backward compat)
at = available_tools or set()
ats = available_toolsets or set()
# fallback_for: hide when the primary tool/toolset IS available
for ts in conditions.get("fallback_for_toolsets", []):
if ts in ats:
return False
for t in conditions.get("fallback_for_tools", []):
if t in at:
return False
# requires: hide when a required tool/toolset is NOT available
for ts in conditions.get("requires_toolsets", []):
if ts not in ats:
return False
for t in conditions.get("requires_tools", []):
if t not in at:
return False
return True
def build_skills_system_prompt(
available_tools: "set[str] | None" = None,
available_toolsets: "set[str] | None" = None,
) -> str:
"""Build a compact skill index for the system prompt.
Scans ~/.hermes/skills/ for SKILL.md files grouped by category.
Includes per-skill descriptions from frontmatter so the model can
match skills by meaning, not just name.
Filters out skills incompatible with the current OS platform.
"""
hermes_home = get_hermes_home()
skills_dir = hermes_home / "skills"
if not skills_dir.exists():
return ""
# Collect skills with descriptions, grouped by category.
# Each entry: (skill_name, description)
# Supports sub-categories: skills/mlops/training/axolotl/SKILL.md
# -> category "mlops/training", skill "axolotl"
# Load disabled skill names once for the entire scan
try:
from tools.skills_tool import _get_disabled_skill_names
disabled = _get_disabled_skill_names()
except Exception:
disabled = set()
skills_by_category: dict[str, list[tuple[str, str]]] = {}
for skill_file in skills_dir.rglob("SKILL.md"):
is_compatible, frontmatter, desc = _parse_skill_file(skill_file)
if not is_compatible:
continue
rel_path = skill_file.relative_to(skills_dir)
parts = rel_path.parts
if len(parts) >= 2:
skill_name = parts[-2]
category = "/".join(parts[:-2]) if len(parts) > 2 else parts[0]
else:
category = "general"
skill_name = skill_file.parent.name
# Respect user's disabled skills config
fm_name = frontmatter.get("name", skill_name)
if fm_name in disabled or skill_name in disabled:
continue
# Extract conditions inline from already-parsed frontmatter
# (avoids redundant file re-read that _read_skill_conditions would do)
hermes_meta = (frontmatter.get("metadata") or {}).get("hermes") or {}
conditions = {
"fallback_for_toolsets": hermes_meta.get("fallback_for_toolsets", []),
"requires_toolsets": hermes_meta.get("requires_toolsets", []),
"fallback_for_tools": hermes_meta.get("fallback_for_tools", []),
"requires_tools": hermes_meta.get("requires_tools", []),
}
if not _skill_should_show(conditions, available_tools, available_toolsets):
continue
skills_by_category.setdefault(category, []).append((skill_name, desc))
if not skills_by_category:
return ""
# Read category-level descriptions from DESCRIPTION.md
# Checks both the exact category path and parent directories
category_descriptions = {}
for category in skills_by_category:
cat_path = Path(category)
desc_file = skills_dir / cat_path / "DESCRIPTION.md"
if desc_file.exists():
try:
content = desc_file.read_text(encoding="utf-8")
match = re.search(r"^---\s*\n.*?description:\s*(.+?)\s*\n.*?^---", content, re.MULTILINE | re.DOTALL)
if match:
category_descriptions[category] = match.group(1).strip()
except Exception as e:
logger.debug("Could not read skill description %s: %s", desc_file, e)
index_lines = []
for category in sorted(skills_by_category.keys()):
cat_desc = category_descriptions.get(category, "")
if cat_desc:
index_lines.append(f" {category}: {cat_desc}")
else:
index_lines.append(f" {category}:")
# Deduplicate and sort skills within each category
seen = set()
for name, desc in sorted(skills_by_category[category], key=lambda x: x[0]):
if name in seen:
continue
seen.add(name)
if desc:
index_lines.append(f" - {name}: {desc}")
else:
index_lines.append(f" - {name}")
return (
"## Skills (mandatory)\n"
"Before replying, scan the skills below. If one clearly matches your task, "
"load it with skill_view(name) and follow its instructions. "
"If a skill has issues, fix it with skill_manage(action='patch').\n"
"After difficult/iterative tasks, offer to save as a skill. "
"If a skill you loaded was missing steps, had wrong commands, or needed "
"pitfalls you discovered, update it before finishing.\n"
"\n"
"<available_skills>\n"
+ "\n".join(index_lines) + "\n"
"</available_skills>\n"
"\n"
"If none match, proceed normally without loading a skill."
)
# =========================================================================
# Context files (SOUL.md, AGENTS.md, .cursorrules)
# =========================================================================
def _truncate_content(content: str, filename: str, max_chars: int = CONTEXT_FILE_MAX_CHARS) -> str:
"""Head/tail truncation with a marker in the middle."""
if len(content) <= max_chars:
return content
head_chars = int(max_chars * CONTEXT_TRUNCATE_HEAD_RATIO)
tail_chars = int(max_chars * CONTEXT_TRUNCATE_TAIL_RATIO)
head = content[:head_chars]
tail = content[-tail_chars:]
marker = f"\n\n[...truncated {filename}: kept {head_chars}+{tail_chars} of {len(content)} chars. Use file tools to read the full file.]\n\n"
return head + marker + tail
def load_soul_md() -> Optional[str]:
"""Load SOUL.md from HERMES_HOME and return its content, or None.
Used as the agent identity (slot #1 in the system prompt). When this
returns content, ``build_context_files_prompt`` should be called with
``skip_soul=True`` so SOUL.md isn't injected twice.
"""
try:
from hermes_cli.config import ensure_hermes_home
ensure_hermes_home()
except Exception as e:
logger.debug("Could not ensure HERMES_HOME before loading SOUL.md: %s", e)
soul_path = get_hermes_home() / "SOUL.md"
if not soul_path.exists():
return None
try:
content = soul_path.read_text(encoding="utf-8").strip()
if not content:
return None
content = _scan_context_content(content, "SOUL.md")
content = _truncate_content(content, "SOUL.md")
return content
except Exception as e:
logger.debug("Could not read SOUL.md from %s: %s", soul_path, e)
return None
def _load_hermes_md(cwd_path: Path) -> str:
""".hermes.md / HERMES.md — walk to git root."""
hermes_md_path = _find_hermes_md(cwd_path)
if not hermes_md_path:
return ""
try:
content = hermes_md_path.read_text(encoding="utf-8").strip()
if not content:
return ""
content = _strip_yaml_frontmatter(content)
rel = hermes_md_path.name
try:
rel = str(hermes_md_path.relative_to(cwd_path))
except ValueError:
pass
content = _scan_context_content(content, rel)
result = f"## {rel}\n\n{content}"
return _truncate_content(result, ".hermes.md")
except Exception as e:
logger.debug("Could not read %s: %s", hermes_md_path, e)
return ""
def _load_agents_md(cwd_path: Path) -> str:
"""AGENTS.md — top-level only (no recursive walk)."""
for name in ["AGENTS.md", "agents.md"]:
candidate = cwd_path / name
if candidate.exists():
try:
content = candidate.read_text(encoding="utf-8").strip()
if content:
content = _scan_context_content(content, name)
result = f"## {name}\n\n{content}"
return _truncate_content(result, "AGENTS.md")
except Exception as e:
logger.debug("Could not read %s: %s", candidate, e)
return ""
def _load_claude_md(cwd_path: Path) -> str:
"""CLAUDE.md / claude.md — cwd only."""
for name in ["CLAUDE.md", "claude.md"]:
candidate = cwd_path / name
if candidate.exists():
try:
content = candidate.read_text(encoding="utf-8").strip()
if content:
content = _scan_context_content(content, name)
result = f"## {name}\n\n{content}"
return _truncate_content(result, "CLAUDE.md")
except Exception as e:
logger.debug("Could not read %s: %s", candidate, e)
return ""
def _load_cursorrules(cwd_path: Path) -> str:
""".cursorrules + .cursor/rules/*.mdc — cwd only."""
cursorrules_content = ""
cursorrules_file = cwd_path / ".cursorrules"
if cursorrules_file.exists():
try:
content = cursorrules_file.read_text(encoding="utf-8").strip()
if content:
content = _scan_context_content(content, ".cursorrules")
cursorrules_content += f"## .cursorrules\n\n{content}\n\n"
except Exception as e:
logger.debug("Could not read .cursorrules: %s", e)
cursor_rules_dir = cwd_path / ".cursor" / "rules"
if cursor_rules_dir.exists() and cursor_rules_dir.is_dir():
mdc_files = sorted(cursor_rules_dir.glob("*.mdc"))
for mdc_file in mdc_files:
try:
content = mdc_file.read_text(encoding="utf-8").strip()
if content:
content = _scan_context_content(content, f".cursor/rules/{mdc_file.name}")
cursorrules_content += f"## .cursor/rules/{mdc_file.name}\n\n{content}\n\n"
except Exception as e:
logger.debug("Could not read %s: %s", mdc_file, e)
if not cursorrules_content:
return ""
return _truncate_content(cursorrules_content, ".cursorrules")
def build_context_files_prompt(cwd: Optional[str] = None, skip_soul: bool = False) -> str:
"""Discover and load context files for the system prompt.
Priority (first found wins — only ONE project context type is loaded):
1. .hermes.md / HERMES.md (walk to git root)
2. AGENTS.md / agents.md (cwd only)
3. CLAUDE.md / claude.md (cwd only)
4. .cursorrules / .cursor/rules/*.mdc (cwd only)
SOUL.md from HERMES_HOME is independent and always included when present.
Each context source is capped at 20,000 chars.
When *skip_soul* is True, SOUL.md is not included here (it was already
loaded via ``load_soul_md()`` for the identity slot).
"""
if cwd is None:
cwd = os.getcwd()
cwd_path = Path(cwd).resolve()
sections = []
# Priority-based project context: first match wins
project_context = (
_load_hermes_md(cwd_path)
or _load_agents_md(cwd_path)
or _load_claude_md(cwd_path)
or _load_cursorrules(cwd_path)
)
if project_context:
sections.append(project_context)
# SOUL.md from HERMES_HOME only — skip when already loaded as identity
if not skip_soul:
soul_content = load_soul_md()
if soul_content:
sections.append(soul_content)
if not sections:
return ""
return "# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n" + "\n".join(sections)

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"""Regex-based secret redaction for logs and tool output.
Applies pattern matching to mask API keys, tokens, and credentials
before they reach log files, verbose output, or gateway logs.
Short tokens (< 18 chars) are fully masked. Longer tokens preserve
the first 6 and last 4 characters for debuggability.
"""
import logging
import os
import re
logger = logging.getLogger(__name__)
# Known API key prefixes -- match the prefix + contiguous token chars
_PREFIX_PATTERNS = [
r"sk-[A-Za-z0-9_-]{10,}", # OpenAI / OpenRouter / Anthropic (sk-ant-*)
r"ghp_[A-Za-z0-9]{10,}", # GitHub PAT (classic)
r"github_pat_[A-Za-z0-9_]{10,}", # GitHub PAT (fine-grained)
r"xox[baprs]-[A-Za-z0-9-]{10,}", # Slack tokens
r"AIza[A-Za-z0-9_-]{30,}", # Google API keys
r"pplx-[A-Za-z0-9]{10,}", # Perplexity
r"fal_[A-Za-z0-9_-]{10,}", # Fal.ai
r"fc-[A-Za-z0-9]{10,}", # Firecrawl
r"bb_live_[A-Za-z0-9_-]{10,}", # BrowserBase
r"gAAAA[A-Za-z0-9_=-]{20,}", # Codex encrypted tokens
r"AKIA[A-Z0-9]{16}", # AWS Access Key ID
r"sk_live_[A-Za-z0-9]{10,}", # Stripe secret key (live)
r"sk_test_[A-Za-z0-9]{10,}", # Stripe secret key (test)
r"rk_live_[A-Za-z0-9]{10,}", # Stripe restricted key
r"SG\.[A-Za-z0-9_-]{10,}", # SendGrid API key
r"hf_[A-Za-z0-9]{10,}", # HuggingFace token
r"r8_[A-Za-z0-9]{10,}", # Replicate API token
r"npm_[A-Za-z0-9]{10,}", # npm access token
r"pypi-[A-Za-z0-9_-]{10,}", # PyPI API token
r"dop_v1_[A-Za-z0-9]{10,}", # DigitalOcean PAT
r"doo_v1_[A-Za-z0-9]{10,}", # DigitalOcean OAuth
r"am_[A-Za-z0-9_-]{10,}", # AgentMail API key
]
# ENV assignment patterns: KEY=value where KEY contains a secret-like name
_SECRET_ENV_NAMES = r"(?:API_?KEY|TOKEN|SECRET|PASSWORD|PASSWD|CREDENTIAL|AUTH)"
_ENV_ASSIGN_RE = re.compile(
rf"([A-Z_]*{_SECRET_ENV_NAMES}[A-Z_]*)\s*=\s*(['\"]?)(\S+)\2",
re.IGNORECASE,
)
# JSON field patterns: "apiKey": "value", "token": "value", etc.
_JSON_KEY_NAMES = r"(?:api_?[Kk]ey|token|secret|password|access_token|refresh_token|auth_token|bearer|secret_value|raw_secret|secret_input|key_material)"
_JSON_FIELD_RE = re.compile(
rf'("{_JSON_KEY_NAMES}")\s*:\s*"([^"]+)"',
re.IGNORECASE,
)
# Authorization headers
_AUTH_HEADER_RE = re.compile(
r"(Authorization:\s*Bearer\s+)(\S+)",
re.IGNORECASE,
)
# Telegram bot tokens: bot<digits>:<token> or <digits>:<token>,
# where token part is restricted to [-A-Za-z0-9_] and length >= 30
_TELEGRAM_RE = re.compile(
r"(bot)?(\d{8,}):([-A-Za-z0-9_]{30,})",
)
# Private key blocks: -----BEGIN RSA PRIVATE KEY----- ... -----END RSA PRIVATE KEY-----
_PRIVATE_KEY_RE = re.compile(
r"-----BEGIN[A-Z ]*PRIVATE KEY-----[\s\S]*?-----END[A-Z ]*PRIVATE KEY-----"
)
# Database connection strings: protocol://user:PASSWORD@host
# Catches postgres, mysql, mongodb, redis, amqp URLs and redacts the password
_DB_CONNSTR_RE = re.compile(
r"((?:postgres(?:ql)?|mysql|mongodb(?:\+srv)?|redis|amqp)://[^:]+:)([^@]+)(@)",
re.IGNORECASE,
)
# E.164 phone numbers: +<country><number>, 7-15 digits
# Negative lookahead prevents matching hex strings or identifiers
_SIGNAL_PHONE_RE = re.compile(r"(\+[1-9]\d{6,14})(?![A-Za-z0-9])")
# Compile known prefix patterns into one alternation
_PREFIX_RE = re.compile(
r"(?<![A-Za-z0-9_-])(" + "|".join(_PREFIX_PATTERNS) + r")(?![A-Za-z0-9_-])"
)
def _mask_token(token: str) -> str:
"""Mask a token, preserving prefix for long tokens."""
if len(token) < 18:
return "***"
return f"{token[:6]}...{token[-4:]}"
def redact_sensitive_text(text: str) -> str:
"""Apply all redaction patterns to a block of text.
Safe to call on any string -- non-matching text passes through unchanged.
Disabled when security.redact_secrets is false in config.yaml.
"""
if text is None:
return None
if not isinstance(text, str):
text = str(text)
if not text:
return text
if os.getenv("HERMES_REDACT_SECRETS", "").lower() in ("0", "false", "no", "off"):
return text
# Known prefixes (sk-, ghp_, etc.)
text = _PREFIX_RE.sub(lambda m: _mask_token(m.group(1)), text)
# ENV assignments: OPENAI_API_KEY=sk-abc...
def _redact_env(m):
name, quote, value = m.group(1), m.group(2), m.group(3)
return f"{name}={quote}{_mask_token(value)}{quote}"
text = _ENV_ASSIGN_RE.sub(_redact_env, text)
# JSON fields: "apiKey": "value"
def _redact_json(m):
key, value = m.group(1), m.group(2)
return f'{key}: "{_mask_token(value)}"'
text = _JSON_FIELD_RE.sub(_redact_json, text)
# Authorization headers
text = _AUTH_HEADER_RE.sub(
lambda m: m.group(1) + _mask_token(m.group(2)),
text,
)
# Telegram bot tokens
def _redact_telegram(m):
prefix = m.group(1) or ""
digits = m.group(2)
return f"{prefix}{digits}:***"
text = _TELEGRAM_RE.sub(_redact_telegram, text)
# Private key blocks
text = _PRIVATE_KEY_RE.sub("[REDACTED PRIVATE KEY]", text)
# Database connection string passwords
text = _DB_CONNSTR_RE.sub(lambda m: f"{m.group(1)}***{m.group(3)}", text)
# E.164 phone numbers (Signal, WhatsApp)
def _redact_phone(m):
phone = m.group(1)
if len(phone) <= 8:
return phone[:2] + "****" + phone[-2:]
return phone[:4] + "****" + phone[-4:]
text = _SIGNAL_PHONE_RE.sub(_redact_phone, text)
return text
class RedactingFormatter(logging.Formatter):
"""Log formatter that redacts secrets from all log messages."""
def __init__(self, fmt=None, datefmt=None, style='%', **kwargs):
super().__init__(fmt, datefmt, style, **kwargs)
def format(self, record: logging.LogRecord) -> str:
original = super().format(record)
return redact_sensitive_text(original)

282
agent/skill_commands.py Normal file
View File

@@ -0,0 +1,282 @@
"""Shared slash command helpers for skills and built-in prompt-style modes.
Shared between CLI (cli.py) and gateway (gateway/run.py) so both surfaces
can invoke skills via /skill-name commands and prompt-only built-ins like
/plan.
"""
import json
import logging
import re
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, Optional
logger = logging.getLogger(__name__)
_skill_commands: Dict[str, Dict[str, Any]] = {}
_PLAN_SLUG_RE = re.compile(r"[^a-z0-9]+")
def build_plan_path(
user_instruction: str = "",
*,
now: datetime | None = None,
) -> Path:
"""Return the default workspace-relative markdown path for a /plan invocation.
Relative paths are intentional: file tools are task/backend-aware and resolve
them against the active working directory for local, docker, ssh, modal,
daytona, and similar terminal backends. That keeps the plan with the active
workspace instead of the Hermes host's global home directory.
"""
slug_source = (user_instruction or "").strip().splitlines()[0] if user_instruction else ""
slug = _PLAN_SLUG_RE.sub("-", slug_source.lower()).strip("-")
if slug:
slug = "-".join(part for part in slug.split("-")[:8] if part)[:48].strip("-")
slug = slug or "conversation-plan"
timestamp = (now or datetime.now()).strftime("%Y-%m-%d_%H%M%S")
return Path(".hermes") / "plans" / f"{timestamp}-{slug}.md"
def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tuple[dict[str, Any], Path | None, str] | None:
"""Load a skill by name/path and return (loaded_payload, skill_dir, display_name)."""
raw_identifier = (skill_identifier or "").strip()
if not raw_identifier:
return None
try:
from tools.skills_tool import SKILLS_DIR, skill_view
identifier_path = Path(raw_identifier).expanduser()
if identifier_path.is_absolute():
try:
normalized = str(identifier_path.resolve().relative_to(SKILLS_DIR.resolve()))
except Exception:
normalized = raw_identifier
else:
normalized = raw_identifier.lstrip("/")
loaded_skill = json.loads(skill_view(normalized, task_id=task_id))
except Exception:
return None
if not loaded_skill.get("success"):
return None
skill_name = str(loaded_skill.get("name") or normalized)
skill_path = str(loaded_skill.get("path") or "")
skill_dir = None
if skill_path:
try:
skill_dir = SKILLS_DIR / Path(skill_path).parent
except Exception:
skill_dir = None
return loaded_skill, skill_dir, skill_name
def _build_skill_message(
loaded_skill: dict[str, Any],
skill_dir: Path | None,
activation_note: str,
user_instruction: str = "",
runtime_note: str = "",
) -> str:
"""Format a loaded skill into a user/system message payload."""
from tools.skills_tool import SKILLS_DIR
content = str(loaded_skill.get("content") or "")
parts = [activation_note, "", content.strip()]
if loaded_skill.get("setup_skipped"):
parts.extend(
[
"",
"[Skill setup note: Required environment setup was skipped. Continue loading the skill and explain any reduced functionality if it matters.]",
]
)
elif loaded_skill.get("gateway_setup_hint"):
parts.extend(
[
"",
f"[Skill setup note: {loaded_skill['gateway_setup_hint']}]",
]
)
elif loaded_skill.get("setup_needed") and loaded_skill.get("setup_note"):
parts.extend(
[
"",
f"[Skill setup note: {loaded_skill['setup_note']}]",
]
)
supporting = []
linked_files = loaded_skill.get("linked_files") or {}
for entries in linked_files.values():
if isinstance(entries, list):
supporting.extend(entries)
if not supporting and skill_dir:
for subdir in ("references", "templates", "scripts", "assets"):
subdir_path = skill_dir / subdir
if subdir_path.exists():
for f in sorted(subdir_path.rglob("*")):
if f.is_file():
rel = str(f.relative_to(skill_dir))
supporting.append(rel)
if supporting and skill_dir:
skill_view_target = str(skill_dir.relative_to(SKILLS_DIR))
parts.append("")
parts.append("[This skill has supporting files you can load with the skill_view tool:]")
for sf in supporting:
parts.append(f"- {sf}")
parts.append(
f'\nTo view any of these, use: skill_view(name="{skill_view_target}", file_path="<path>")'
)
if user_instruction:
parts.append("")
parts.append(f"The user has provided the following instruction alongside the skill invocation: {user_instruction}")
if runtime_note:
parts.append("")
parts.append(f"[Runtime note: {runtime_note}]")
return "\n".join(parts)
def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
"""Scan ~/.hermes/skills/ and return a mapping of /command -> skill info.
Returns:
Dict mapping "/skill-name" to {name, description, skill_md_path, skill_dir}.
"""
global _skill_commands
_skill_commands = {}
try:
from tools.skills_tool import SKILLS_DIR, _parse_frontmatter, skill_matches_platform, _get_disabled_skill_names
if not SKILLS_DIR.exists():
return _skill_commands
disabled = _get_disabled_skill_names()
for skill_md in SKILLS_DIR.rglob("SKILL.md"):
if any(part in ('.git', '.github', '.hub') for part in skill_md.parts):
continue
try:
content = skill_md.read_text(encoding='utf-8')
frontmatter, body = _parse_frontmatter(content)
# Skip skills incompatible with the current OS platform
if not skill_matches_platform(frontmatter):
continue
name = frontmatter.get('name', skill_md.parent.name)
# Respect user's disabled skills config
if name in disabled:
continue
description = frontmatter.get('description', '')
if not description:
for line in body.strip().split('\n'):
line = line.strip()
if line and not line.startswith('#'):
description = line[:80]
break
cmd_name = name.lower().replace(' ', '-').replace('_', '-')
_skill_commands[f"/{cmd_name}"] = {
"name": name,
"description": description or f"Invoke the {name} skill",
"skill_md_path": str(skill_md),
"skill_dir": str(skill_md.parent),
}
except Exception:
continue
except Exception:
pass
return _skill_commands
def get_skill_commands() -> Dict[str, Dict[str, Any]]:
"""Return the current skill commands mapping (scan first if empty)."""
if not _skill_commands:
scan_skill_commands()
return _skill_commands
def build_skill_invocation_message(
cmd_key: str,
user_instruction: str = "",
task_id: str | None = None,
runtime_note: str = "",
) -> Optional[str]:
"""Build the user message content for a skill slash command invocation.
Args:
cmd_key: The command key including leading slash (e.g., "/gif-search").
user_instruction: Optional text the user typed after the command.
Returns:
The formatted message string, or None if the skill wasn't found.
"""
commands = get_skill_commands()
skill_info = commands.get(cmd_key)
if not skill_info:
return None
loaded = _load_skill_payload(skill_info["skill_dir"], task_id=task_id)
if not loaded:
return f"[Failed to load skill: {skill_info['name']}]"
loaded_skill, skill_dir, skill_name = loaded
activation_note = (
f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want '
"you to follow its instructions. The full skill content is loaded below.]"
)
return _build_skill_message(
loaded_skill,
skill_dir,
activation_note,
user_instruction=user_instruction,
runtime_note=runtime_note,
)
def build_preloaded_skills_prompt(
skill_identifiers: list[str],
task_id: str | None = None,
) -> tuple[str, list[str], list[str]]:
"""Load one or more skills for session-wide CLI preloading.
Returns (prompt_text, loaded_skill_names, missing_identifiers).
"""
prompt_parts: list[str] = []
loaded_names: list[str] = []
missing: list[str] = []
seen: set[str] = set()
for raw_identifier in skill_identifiers:
identifier = (raw_identifier or "").strip()
if not identifier or identifier in seen:
continue
seen.add(identifier)
loaded = _load_skill_payload(identifier, task_id=task_id)
if not loaded:
missing.append(identifier)
continue
loaded_skill, skill_dir, skill_name = loaded
activation_note = (
f'[SYSTEM: The user launched this CLI session with the "{skill_name}" skill '
"preloaded. Treat its instructions as active guidance for the duration of this "
"session unless the user overrides them.]"
)
prompt_parts.append(
_build_skill_message(
loaded_skill,
skill_dir,
activation_note,
)
)
loaded_names.append(skill_name)
return "\n\n".join(prompt_parts), loaded_names, missing

View File

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

View File

@@ -8,7 +8,7 @@ import logging
import threading
from typing import Optional
from hermes_agent.providers.auxiliary import call_llm
from agent.auxiliary_client import call_llm
logger = logging.getLogger(__name__)
@@ -19,7 +19,7 @@ _TITLE_PROMPT = (
)
def generate_title(user_message: str, assistant_response: str, timeout: float = 30.0) -> Optional[str]:
def generate_title(user_message: str, assistant_response: str, timeout: float = 15.0) -> Optional[str]:
"""Generate a session title from the first exchange.
Uses the auxiliary LLM client (cheapest/fastest available model).
@@ -36,7 +36,7 @@ def generate_title(user_message: str, assistant_response: str, timeout: float =
try:
response = call_llm(
task="title_generation",
task="compression", # reuse compression task config (cheap/fast model)
messages=messages,
max_tokens=30,
temperature=0.3,

View File

@@ -5,8 +5,7 @@ from datetime import datetime, timezone
from decimal import Decimal
from typing import Any, Dict, Literal, Optional
from hermes_agent.providers.metadata import fetch_endpoint_model_metadata, fetch_model_metadata
from hermes_agent.utils import base_url_host_matches
from agent.model_metadata import fetch_endpoint_model_metadata, fetch_model_metadata
DEFAULT_PRICING = {"input": 0.0, "output": 0.0}
@@ -285,80 +284,6 @@ _OFFICIAL_DOCS_PRICING: Dict[tuple[str, str], PricingEntry] = {
source_url="https://ai.google.dev/pricing",
pricing_version="google-pricing-2026-03-16",
),
# AWS Bedrock — pricing per the Bedrock pricing page.
# Bedrock charges the same per-token rates as the model provider but
# through AWS billing. These are the on-demand prices (no commitment).
# Source: https://aws.amazon.com/bedrock/pricing/
(
"bedrock",
"anthropic.claude-opus-4-6",
): PricingEntry(
input_cost_per_million=Decimal("15.00"),
output_cost_per_million=Decimal("75.00"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"anthropic.claude-sonnet-4-6",
): PricingEntry(
input_cost_per_million=Decimal("3.00"),
output_cost_per_million=Decimal("15.00"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"anthropic.claude-sonnet-4-5",
): PricingEntry(
input_cost_per_million=Decimal("3.00"),
output_cost_per_million=Decimal("15.00"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"anthropic.claude-haiku-4-5",
): PricingEntry(
input_cost_per_million=Decimal("0.80"),
output_cost_per_million=Decimal("4.00"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"amazon.nova-pro",
): PricingEntry(
input_cost_per_million=Decimal("0.80"),
output_cost_per_million=Decimal("3.20"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"amazon.nova-lite",
): PricingEntry(
input_cost_per_million=Decimal("0.06"),
output_cost_per_million=Decimal("0.24"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
(
"bedrock",
"amazon.nova-micro",
): PricingEntry(
input_cost_per_million=Decimal("0.035"),
output_cost_per_million=Decimal("0.14"),
source="official_docs_snapshot",
source_url="https://aws.amazon.com/bedrock/pricing/",
pricing_version="bedrock-pricing-2026-04",
),
}
@@ -394,7 +319,7 @@ def resolve_billing_route(
if provider_name == "openai-codex":
return BillingRoute(provider="openai-codex", model=model, base_url=base_url or "", billing_mode="subscription_included")
if provider_name == "openrouter" or base_url_host_matches(base_url or "", "openrouter.ai"):
if provider_name == "openrouter" or "openrouter.ai" in base:
return BillingRoute(provider="openrouter", model=model, base_url=base_url or "", billing_mode="official_models_api")
if provider_name == "anthropic":
return BillingRoute(provider="anthropic", model=model.split("/")[-1], base_url=base_url or "", billing_mode="official_docs_snapshot")
@@ -650,6 +575,49 @@ def has_known_pricing(
return entry is not None
def get_pricing(
model_name: str,
provider: Optional[str] = None,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> Dict[str, float]:
"""Backward-compatible thin wrapper for legacy callers.
Returns only non-cache input/output fields when a pricing entry exists.
Unknown routes return zeroes.
"""
entry = get_pricing_entry(model_name, provider=provider, base_url=base_url, api_key=api_key)
if not entry:
return {"input": 0.0, "output": 0.0}
return {
"input": float(entry.input_cost_per_million or _ZERO),
"output": float(entry.output_cost_per_million or _ZERO),
}
def estimate_cost_usd(
model: str,
input_tokens: int,
output_tokens: int,
*,
provider: Optional[str] = None,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> float:
"""Backward-compatible helper for legacy callers.
This uses non-cached input/output only. New code should call
`estimate_usage_cost()` with canonical usage buckets.
"""
result = estimate_usage_cost(
model,
CanonicalUsage(input_tokens=input_tokens, output_tokens=output_tokens),
provider=provider,
base_url=base_url,
api_key=api_key,
)
return float(result.amount_usd or _ZERO)
def format_duration_compact(seconds: float) -> str:
if seconds < 60:

View File

@@ -20,13 +20,9 @@ Usage:
python batch_runner.py --dataset_file=data.jsonl --batch_size=10 --run_name=my_run --distribution=image_gen
"""
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import json
import logging
import os
import time
from pathlib import Path
from typing import List, Dict, Any, Optional, Tuple
@@ -35,17 +31,15 @@ from multiprocessing import Pool, Lock
import traceback
from rich.progress import Progress, SpinnerColumn, BarColumn, TextColumn, TimeRemainingColumn, MofNCompleteColumn
from rich.console import Console
logger = logging.getLogger(__name__)
import fire
from hermes_agent.agent.loop import AIAgent
from hermes_agent.tools.distributions import (
from run_agent import AIAgent
from toolset_distributions import (
list_distributions,
sample_toolsets_from_distribution,
validate_distribution
)
from hermes_agent.tools.dispatch import TOOL_TO_TOOLSET_MAP
from model_tools import TOOL_TO_TOOLSET_MAP
# Global configuration for worker processes
@@ -293,7 +287,7 @@ def _process_single_prompt(
if config.get("verbose"):
print(f" Prompt {prompt_index}: Docker image check failed: {img_err}", flush=True)
from hermes_agent.tools.terminal import register_task_env_overrides
from tools.terminal_tool import register_task_env_overrides
overrides = {
"docker_image": container_image,
"modal_image": container_image,
@@ -448,7 +442,6 @@ def _process_batch_worker(args: Tuple) -> Dict[str, Any]:
if not reasoning.get("has_any_reasoning", True):
print(f" 🚫 Prompt {prompt_index} discarded (no reasoning in any turn)")
discarded_no_reasoning += 1
completed_in_batch.append(prompt_index)
continue
# Get and normalize tool stats for consistent schema across all entries
@@ -566,10 +559,7 @@ class BatchRunner:
provider_sort (str): Sort providers by price/throughput/latency (optional)
max_tokens (int): Maximum tokens for model responses (optional, uses model default if not set)
reasoning_config (Dict): OpenRouter reasoning config override (e.g. {"effort": "none"} to disable thinking)
prefill_messages (List[Dict]): Messages to prepend as prefilled conversation context (few-shot priming).
NOTE: Anthropic Sonnet 4.6+ and Opus 4.6+ reject a trailing assistant-role prefill
(400 error). For those models use output_config.format or structured-output
schemas instead. Safe here for user-role priming and for older Claude / non-Claude models.
prefill_messages (List[Dict]): Messages to prepend as prefilled conversation context (few-shot priming)
max_samples (int): Only process the first N samples from the dataset (optional, processes all if not set)
"""
self.dataset_file = Path(dataset_file)
@@ -712,7 +702,7 @@ class BatchRunner:
"""
checkpoint_data["last_updated"] = datetime.now().isoformat()
from hermes_agent.utils import atomic_json_write
from utils import atomic_json_write
if lock:
with lock:
atomic_json_write(self.checkpoint_file, checkpoint_data)
@@ -1026,7 +1016,7 @@ class BatchRunner:
tool_stats = data.get('tool_stats', {})
# Check for invalid tool names (model hallucinations)
invalid_tools = [k for k in tool_stats if k not in VALID_TOOLS]
invalid_tools = [k for k in tool_stats.keys() if k not in VALID_TOOLS]
if invalid_tools:
filtered_entries += 1
@@ -1130,7 +1120,7 @@ def main(
num_workers: int = 4,
resume: bool = False,
verbose: bool = False,
show_distributions: bool = False,
list_distributions: bool = False,
ephemeral_system_prompt: str = None,
log_prefix_chars: int = 100,
providers_allowed: str = None,
@@ -1158,7 +1148,7 @@ def main(
num_workers (int): Number of parallel worker processes (default: 4)
resume (bool): Resume from checkpoint if run was interrupted (default: False)
verbose (bool): Enable verbose logging (default: False)
show_distributions (bool): List available toolset distributions and exit
list_distributions (bool): List available toolset distributions and exit
ephemeral_system_prompt (str): System prompt used during agent execution but NOT saved to trajectories (optional)
log_prefix_chars (int): Number of characters to show in log previews for tool calls/responses (default: 20)
providers_allowed (str): Comma-separated list of OpenRouter providers to allow (e.g. "anthropic,openai")
@@ -1166,7 +1156,7 @@ 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)
@@ -1190,16 +1180,16 @@ def main(
--prefill_messages_file=configs/prefill_opus.json
# List available distributions
python batch_runner.py --show_distributions
python batch_runner.py --list_distributions
"""
# Handle list distributions
if show_distributions:
from hermes_agent.tools.distributions import print_distribution_info
if list_distributions:
from toolset_distributions import list_distributions as get_all_dists, print_distribution_info
print("📊 Available Toolset Distributions")
print("=" * 70)
all_dists = list_distributions()
all_dists = get_all_dists()
for dist_name in sorted(all_dists.keys()):
print_distribution_info(dist_name)
@@ -1235,7 +1225,7 @@ 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

View File

@@ -7,38 +7,17 @@
# =============================================================================
model:
# Default model to use (can be overridden with --model flag)
# Both "default" and "model" work as the key name here.
default: "anthropic/claude-opus-4.6"
# Inference provider selection:
# "auto" - Auto-detect from credentials (default)
# "openrouter" - OpenRouter (requires: OPENROUTER_API_KEY or OPENAI_API_KEY)
# "nous" - Nous Portal OAuth (requires: hermes login)
# "nous-api" - Nous Portal API key (requires: NOUS_API_KEY)
# "anthropic" - Direct Anthropic API (requires: ANTHROPIC_API_KEY)
# "openai-codex" - OpenAI Codex (requires: hermes auth)
# "copilot" - GitHub Copilot / GitHub Models (requires: GITHUB_TOKEN)
# "gemini" - Use Google AI Studio direct (requires: GOOGLE_API_KEY or GEMINI_API_KEY)
# "zai" - Use z.ai / ZhipuAI GLM models (requires: GLM_API_KEY)
# "kimi-coding" - Kimi / Moonshot AI (requires: KIMI_API_KEY)
# "minimax" - MiniMax global (requires: MINIMAX_API_KEY)
# "minimax-cn" - MiniMax China (requires: MINIMAX_CN_API_KEY)
# "huggingface" - Hugging Face Inference (requires: HF_TOKEN)
# "nvidia" - NVIDIA NIM / build.nvidia.com (requires: NVIDIA_API_KEY)
# "xiaomi" - Xiaomi MiMo (requires: XIAOMI_API_KEY)
# "arcee" - Arcee AI Trinity models (requires: ARCEEAI_API_KEY)
# "ollama-cloud" - Ollama Cloud (requires: OLLAMA_API_KEY — https://ollama.com/settings)
# "kilocode" - KiloCode gateway (requires: KILOCODE_API_KEY)
# "ai-gateway" - Vercel AI Gateway (requires: AI_GATEWAY_API_KEY)
#
# Local servers (LM Studio, Ollama, vLLM, llama.cpp):
# "custom" - Any OpenAI-compatible endpoint. Set base_url below.
# Aliases: "lmstudio", "ollama", "vllm", "llamacpp" all map to "custom".
# Example for LM Studio:
# provider: "lmstudio"
# base_url: "http://localhost:1234/v1"
# No API key needed — local servers typically ignore auth.
#
# "auto" - Use Nous Portal if logged in, otherwise OpenRouter/env vars (default)
# "nous-api" - Use Nous Portal via API key (requires: NOUS_API_KEY)
# "openrouter" - Always use OpenRouter API key from OPENROUTER_API_KEY
# "nous" - Always use Nous Portal (requires: hermes login)
# "zai" - Use z.ai / ZhipuAI GLM models (requires: GLM_API_KEY)
# "kimi-coding"- Use Kimi / Moonshot AI models (requires: KIMI_API_KEY)
# "minimax" - Use MiniMax global endpoint (requires: MINIMAX_API_KEY)
# "minimax-cn" - Use MiniMax China endpoint (requires: MINIMAX_CN_API_KEY)
# Can also be overridden with --provider flag or HERMES_INFERENCE_PROVIDER env var.
provider: "auto"
@@ -46,56 +25,6 @@ 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
# Named provider overrides (optional)
# Use this for per-provider request timeouts, non-stream stale timeouts,
# and per-model exceptions.
# Applies to the primary turn client on every api_mode (OpenAI-wire, native
# Anthropic, and Anthropic-compatible providers), the fallback chain, and
# client rebuilds during credential rotation. For OpenAI-wire chat
# completions (streaming and non-streaming) the configured value is also
# used as the per-request ``timeout=`` kwarg so it wins over the legacy
# HERMES_API_TIMEOUT env var (which still applies when no config is set).
# ``stale_timeout_seconds`` controls the non-streaming stale-call detector and
# wins over the legacy HERMES_API_CALL_STALE_TIMEOUT env var. Leaving these
# unset keeps the legacy defaults (HERMES_API_TIMEOUT=1800s,
# HERMES_API_CALL_STALE_TIMEOUT=300s, native Anthropic 900s).
#
# Not currently wired for AWS Bedrock (bedrock_converse + AnthropicBedrock
# SDK paths) — those use boto3 with its own timeout configuration.
#
# providers:
# ollama-local:
# request_timeout_seconds: 300 # Longer timeout for local cold-starts
# stale_timeout_seconds: 900 # Explicitly re-enable stale detection on local endpoints
# anthropic:
# request_timeout_seconds: 30 # Fast-fail cloud requests
# models:
# claude-opus-4.6:
# timeout_seconds: 600 # Longer timeout for extended-thinking Opus calls
# openai-codex:
# models:
# gpt-5.4:
# stale_timeout_seconds: 1800 # Longer non-stream stale timeout for slow large-context turns
# =============================================================================
# OpenRouter Provider Routing (only applies when using OpenRouter)
# =============================================================================
@@ -122,6 +51,20 @@ model:
# # Data policy: "allow" (default) or "deny" to exclude providers that may store data
# # data_collection: "deny"
# =============================================================================
# Smart Model Routing (optional)
# =============================================================================
# Use a cheaper model for short/simple turns while keeping your main model for
# more complex requests. Disabled by default.
#
# smart_model_routing:
# enabled: true
# max_simple_chars: 160
# max_simple_words: 28
# cheap_model:
# provider: openrouter
# model: google/gemini-2.5-flash
# =============================================================================
# Git Worktree Isolation
# =============================================================================
@@ -151,8 +94,7 @@ 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
@@ -243,18 +185,13 @@ 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)
@@ -323,8 +260,15 @@ compression:
# compression of older turns.
protect_last_n: 20
# To pin a specific model/provider for compression summaries, use the
# auxiliary section below (auxiliary.compression.provider / model).
# Model to use for generating summaries (fast/cheap recommended)
# This model compresses the middle turns into a concise summary.
# IMPORTANT: it receives the full middle section of the conversation, so it
# MUST support a context length at least as large as your main model's.
summary_model: "google/gemini-3-flash-preview"
# Provider for the summary model (default: "auto")
# Options: "auto", "openrouter", "nous", "main"
# summary_provider: "auto"
# =============================================================================
# Auxiliary Models (Advanced — Experimental)
@@ -349,9 +293,7 @@ compression:
# "auto" - Best available: OpenRouter → Nous Portal → main endpoint (default)
# "openrouter" - Force OpenRouter (requires OPENROUTER_API_KEY)
# "nous" - Force Nous Portal (requires: hermes login)
# "gemini" - Force Google AI Studio direct (requires: GOOGLE_API_KEY or GEMINI_API_KEY)
# "ollama-cloud" - Ollama Cloud (requires: OLLAMA_API_KEY)
# "codex" - Force Codex OAuth (requires: hermes model → Codex).
# "codex" - Force Codex OAuth (requires: hermes model → Codex).
# Uses gpt-5.3-codex which supports vision.
# "main" - Use your custom endpoint (OPENAI_BASE_URL + OPENAI_API_KEY).
# Works with OpenAI API, local models, or any OpenAI-compatible
@@ -366,26 +308,11 @@ compression:
# vision:
# provider: "auto"
# model: "" # e.g. "google/gemini-2.5-flash", "openai/gpt-4o"
# timeout: 30 # LLM API call timeout (seconds)
# download_timeout: 30 # Image HTTP download timeout (seconds)
# # Increase for slow connections or self-hosted image servers
#
# # Web page scraping / summarization + browser page text extraction
# web_extract:
# provider: "auto"
# model: ""
#
# # Session search — summarizes matching past sessions
# session_search:
# provider: "auto"
# model: ""
# timeout: 30
# max_concurrency: 3 # Limit parallel summaries to reduce request-burst 429s
# extra_body: {} # Provider-specific OpenAI-compatible request fields
# # Example for providers that support request-body
# # reasoning controls:
# # extra_body:
# # enable_thinking: false
# =============================================================================
# Persistent Memory
@@ -474,15 +401,6 @@ skills:
# Set to 0 to disable.
creation_nudge_interval: 15
# External skill directories — share skills across tools/agents without
# copying them into ~/.hermes/skills/. Each path is expanded (~ and ${VAR})
# and resolved to an absolute path. External dirs are read-only: skill
# creation always writes to ~/.hermes/skills/. Local skills take precedence
# when names collide.
# external_dirs:
# - ~/.agents/skills
# - /home/shared/team-skills
# =============================================================================
# Agent Behavior
# =============================================================================
@@ -491,22 +409,6 @@ 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
# Graceful drain timeout for gateway stop/restart (seconds).
# The gateway stops accepting new work, waits for in-flight agents to
# finish, then interrupts anything still running after this timeout.
# 0 = no drain, interrupt immediately.
# restart_drain_timeout: 60
# Enable verbose logging
verbose: false
@@ -549,7 +451,7 @@ agent:
# - A preset like "hermes-cli" or "hermes-telegram" (curated tool set)
# - A list of individual toolsets to compose your own (see list below)
#
# Supported platform keys: cli, telegram, discord, whatsapp, slack, qqbot
# Supported platform keys: cli, telegram, discord, whatsapp, slack
#
# Examples:
#
@@ -578,7 +480,6 @@ agent:
# slack: hermes-slack (same as telegram)
# signal: hermes-signal (same as telegram)
# homeassistant: hermes-homeassistant (same as telegram)
# qqbot: hermes-qqbot (same as telegram)
#
platform_toolsets:
cli: [hermes-cli]
@@ -588,19 +489,6 @@ platform_toolsets:
slack: [hermes-slack]
signal: [hermes-signal]
homeassistant: [hermes-homeassistant]
qqbot: [hermes-qqbot]
# =============================================================================
# Gateway Platform Settings
# =============================================================================
# Optional per-platform messaging settings.
# Platform-specific knobs live under `extra`.
#
# platforms:
# telegram:
# reply_to_mode: "first" # off | first | all
# extra:
# disable_link_previews: false # Set true to suppress Telegram URL previews in bot messages
# ─────────────────────────────────────────────────────────────────────────────
# Available toolsets (use these names in platform_toolsets or the toolsets list)
@@ -615,7 +503,7 @@ platform_toolsets:
# terminal - terminal, process
# file - read_file, write_file, patch, search
# browser - browser_navigate, browser_snapshot, browser_click, browser_type,
# browser_scroll, browser_back, browser_press,
# browser_scroll, browser_back, browser_press, browser_close,
# browser_get_images, browser_vision (requires BROWSERBASE_API_KEY)
# vision - vision_analyze (requires OPENROUTER_API_KEY)
# image_gen - image_generate (requires FAL_KEY)
@@ -623,7 +511,7 @@ platform_toolsets:
# skills_hub - skill_hub (search/install/manage from online registries — user-driven only)
# moa - mixture_of_agents (requires OPENROUTER_API_KEY)
# todo - todo (in-memory task planning, no deps)
# tts - text_to_speech (Edge TTS free, or ELEVENLABS/OPENAI/MINIMAX/MISTRAL key)
# tts - text_to_speech (Edge TTS free, or ELEVENLABS/OPENAI key)
# cronjob - cronjob (create/list/update/pause/resume/run/remove scheduled tasks)
# rl - rl_list_environments, rl_start_training, etc. (requires TINKER_API_KEY)
#
@@ -652,7 +540,7 @@ platform_toolsets:
# todo - Task planning and tracking for multi-step work
# memory - Persistent memory across sessions (personal notes + user profile)
# session_search - Search and recall past conversations (FTS5 + Gemini Flash summarization)
# tts - Text-to-speech (Edge TTS free, ElevenLabs, OpenAI, MiniMax, Mistral)
# tts - Text-to-speech (Edge TTS free, ElevenLabs, OpenAI)
# cronjob - Schedule and manage automated tasks (CLI-only)
# rl - RL training tools (Tinker-Atropos)
#
@@ -720,18 +608,10 @@ 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
local:
model: "base" # tiny | base | small | medium | large-v3 | turbo
# language: "" # auto-detect; set to "en", "es", "fr", etc. to force
openai:
model: "whisper-1" # whisper-1 | gpt-4o-mini-transcribe | gpt-4o-transcribe
# mistral:
# model: "voxtral-mini-latest" # voxtral-mini-latest | voxtral-mini-2602
model: "whisper-1" # whisper-1 (cheapest) | gpt-4o-mini-transcribe | gpt-4o-transcribe
# =============================================================================
# Response Pacing (Messaging Platforms)
@@ -770,12 +650,10 @@ code_execution:
# Subagent Delegation
# =============================================================================
# The delegate_task tool spawns child agents with isolated context.
# Supports single tasks and batch mode (default 3 parallel, configurable).
# Supports single tasks and batch mode (up to 3 parallel).
delegation:
max_iterations: 50 # Max tool-calling turns per child (default: 50)
# max_concurrent_children: 3 # Max parallel child agents (default: 3)
# max_spawn_depth: 1 # Tree depth cap (1-3, default: 1 = flat). Raise to 2 or 3 to allow orchestrator children to spawn their own workers.
# orchestrator_enabled: true # Kill switch for role="orchestrator" children (default: true).
default_toolsets: ["terminal", "file", "web"] # Default toolsets for subagents
# model: "google/gemini-3-flash-preview" # Override model for subagents (empty = inherit parent)
# provider: "openrouter" # Override provider for subagents (empty = inherit parent)
# # Resolves full credentials (base_url, api_key) automatically.
@@ -810,20 +688,9 @@ display:
# Toggle at runtime with /verbose in the CLI
tool_progress: all
# Gateway-only natural mid-turn assistant updates.
# When true, completed assistant status messages are sent as separate chat
# messages. This is independent of tool_progress and gateway streaming.
interim_assistant_messages: true
# What Enter does when Hermes is already busy in the CLI.
# interrupt: Interrupt the current run and redirect Hermes (default)
# queue: Queue your message for the next turn
# Ctrl+C always interrupts regardless of this setting.
busy_input_mode: interrupt
# Background process notifications (gateway/messaging only).
# Controls how chatty the process watcher is when you use
# terminal(background=true, notify_on_complete=true) from Telegram/Discord/etc.
# terminal(background=true, check_interval=...) from Telegram/Discord/etc.
# off: No watcher messages at all
# result: Only the final completion message
# error: Only the final message when exit code != 0
@@ -888,27 +755,6 @@ display:
#
skin: default
# =============================================================================
# Model Aliases — short names for /model command
# =============================================================================
# Map short aliases to exact (model, provider, base_url) tuples.
# Used by /model tab completion and resolve_alias().
# Aliases are checked BEFORE the models.dev catalog, so they can route
# to endpoints not in the catalog (e.g. Ollama Cloud, local servers).
#
# model_aliases:
# opus:
# model: claude-opus-4-6
# provider: anthropic
# qwen:
# model: "qwen3.5:397b"
# provider: custom
# base_url: "https://ollama.com/v1"
# glm:
# model: glm-4.7
# provider: custom
# base_url: "https://ollama.com/v1"
# =============================================================================
# Privacy
# =============================================================================
@@ -919,39 +765,3 @@ display:
# # Names and usernames are NOT affected (user-chosen, publicly visible).
# # Routing/delivery still uses the original values internally.
# redact_pii: false
# =============================================================================
# Shell-script hooks
# =============================================================================
# Register shell scripts as plugin-hook callbacks. Each entry is executed as
# a subprocess (shell=False, shlex.split) with a JSON payload on stdin. On
# stdout the script may return JSON that either blocks the tool call or
# injects context into the next LLM call.
#
# Valid events (mirror hermes_cli.plugins.VALID_HOOKS):
# pre_tool_call, post_tool_call, pre_llm_call, post_llm_call,
# pre_api_request, post_api_request, on_session_start, on_session_end,
# on_session_finalize, on_session_reset, subagent_stop
#
# First-use consent: each (event, command) pair prompts once on a TTY, then
# is persisted to ~/.hermes/shell-hooks-allowlist.json. Non-interactive
# runs (gateway, cron) need --accept-hooks, HERMES_ACCEPT_HOOKS=1, or the
# hooks_auto_accept key below.
#
# See website/docs/user-guide/features/hooks.md for the full JSON wire
# protocol and worked examples.
#
# hooks:
# pre_tool_call:
# - matcher: "terminal"
# command: "~/.hermes/agent-hooks/block-rm-rf.sh"
# timeout: 10
# post_tool_call:
# - matcher: "write_file|patch"
# command: "~/.hermes/agent-hooks/auto-format.sh"
# pre_llm_call:
# - command: "~/.hermes/agent-hooks/inject-cwd-context.sh"
# subagent_stop:
# - command: "~/.hermes/agent-hooks/log-orchestration.sh"
#
# hooks_auto_accept: false

File diff suppressed because it is too large Load Diff

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@@ -1,15 +0,0 @@
# Termux / Android dependency constraints for Hermes Agent.
#
# Usage:
# python -m pip install -e '.[termux]' -c constraints-termux.txt
#
# These pins keep the tested Android install path stable when upstream packages
# move faster than Termux-compatible wheels / sdists.
ipython<10
jedi>=0.18.1,<0.20
parso>=0.8.4,<0.9
stack-data>=0.6,<0.7
pexpect>4.3,<5
matplotlib-inline>=0.1.7,<0.2
asttokens>=2.1,<3

View File

@@ -15,7 +15,7 @@ The gateway ticks the scheduler every 60 seconds. A file lock prevents
duplicate execution if multiple processes overlap.
"""
from hermes_agent.cron.jobs import (
from cron.jobs import (
create_job,
get_job,
list_jobs,
@@ -26,7 +26,7 @@ from hermes_agent.cron.jobs import (
trigger_job,
JOBS_FILE,
)
from hermes_agent.cron.scheduler import tick
from cron.scheduler import tick
__all__ = [
"create_job",

View File

@@ -9,18 +9,17 @@ import copy
import json
import logging
import tempfile
import threading
import os
import re
import uuid
from datetime import datetime, timedelta
from pathlib import Path
from hermes_agent.constants import get_hermes_home
from hermes_constants import get_hermes_home
from typing import Optional, Dict, List, Any
logger = logging.getLogger(__name__)
from hermes_agent.time import now as _hermes_now
from hermes_time import now as _hermes_now
try:
from croniter import croniter
@@ -32,14 +31,9 @@ except ImportError:
# Configuration
# =============================================================================
HERMES_DIR = get_hermes_home().resolve()
HERMES_DIR = get_hermes_home()
CRON_DIR = HERMES_DIR / "cron"
JOBS_FILE = CRON_DIR / "jobs.json"
# In-process lock protecting load_jobs→modify→save_jobs cycles.
# Required when tick() runs jobs in parallel threads — without this,
# concurrent mark_job_run / advance_next_run calls can clobber each other.
_jobs_file_lock = threading.Lock()
OUTPUT_DIR = CRON_DIR / "output"
ONESHOT_GRACE_SECONDS = 120
@@ -333,23 +327,8 @@ def load_jobs() -> List[Dict[str, Any]]:
with open(JOBS_FILE, 'r', encoding='utf-8') as f:
data = json.load(f)
return data.get("jobs", [])
except json.JSONDecodeError:
# Retry with strict=False to handle bare control chars in string values
try:
with open(JOBS_FILE, 'r', encoding='utf-8') as f:
data = json.loads(f.read(), strict=False)
jobs = data.get("jobs", [])
if jobs:
# Auto-repair: rewrite with proper escaping
save_jobs(jobs)
logger.warning("Auto-repaired jobs.json (had invalid control characters)")
return jobs
except Exception as e:
logger.error("Failed to auto-repair jobs.json: %s", e)
raise RuntimeError(f"Cron database corrupted and unrepairable: {e}") from e
except IOError as e:
logger.error("IOError reading jobs.json: %s", e)
raise RuntimeError(f"Failed to read cron database: {e}") from e
except (json.JSONDecodeError, IOError):
return []
def save_jobs(jobs: List[Dict[str, Any]]):
@@ -383,7 +362,6 @@ def create_job(
model: Optional[str] = None,
provider: Optional[str] = None,
base_url: Optional[str] = None,
script: Optional[str] = None,
) -> Dict[str, Any]:
"""
Create a new cron job.
@@ -400,9 +378,6 @@ def create_job(
model: Optional per-job model override
provider: Optional per-job provider override
base_url: Optional per-job base URL override
script: Optional path to a Python script whose stdout is injected into the
prompt each run. The script runs before the agent turn, and its output
is prepended as context. Useful for data collection / change detection.
Returns:
The created job dict
@@ -431,8 +406,6 @@ def create_job(
normalized_model = normalized_model or None
normalized_provider = normalized_provider or None
normalized_base_url = normalized_base_url or None
normalized_script = str(script).strip() if isinstance(script, str) else None
normalized_script = normalized_script or None
label_source = (prompt or (normalized_skills[0] if normalized_skills else None)) or "cron job"
job = {
@@ -444,7 +417,6 @@ def create_job(
"model": normalized_model,
"provider": normalized_provider,
"base_url": normalized_base_url,
"script": normalized_script,
"schedule": parsed_schedule,
"schedule_display": parsed_schedule.get("display", schedule),
"repeat": {
@@ -460,7 +432,6 @@ def create_job(
"last_run_at": None,
"last_status": None,
"last_error": None,
"last_delivery_error": None,
# Delivery configuration
"deliver": deliver,
"origin": origin, # Tracks where job was created for "origin" delivery
@@ -507,12 +478,6 @@ def update_job(job_id: str, updates: Dict[str, Any]) -> Optional[Dict[str, Any]]
if schedule_changed:
updated_schedule = updated["schedule"]
# The API may pass schedule as a raw string (e.g. "every 10m")
# instead of a pre-parsed dict. Normalize it the same way
# create_job() does so downstream code can call .get() safely.
if isinstance(updated_schedule, str):
updated_schedule = parse_schedule(updated_schedule)
updated["schedule"] = updated_schedule
updated["schedule_display"] = updates.get(
"schedule_display",
updated_schedule.get("display", updated.get("schedule_display")),
@@ -589,84 +554,48 @@ def remove_job(job_id: str) -> bool:
return False
def mark_job_run(job_id: str, success: bool, error: Optional[str] = None,
delivery_error: Optional[str] = None):
def mark_job_run(job_id: str, success: bool, error: Optional[str] = None):
"""
Mark a job as having been run.
Updates last_run_at, last_status, increments completed count,
computes next_run_at, and auto-deletes if repeat limit reached.
``delivery_error`` is tracked separately from the agent error a job
can succeed (agent produced output) but fail delivery (platform down).
"""
with _jobs_file_lock:
jobs = load_jobs()
for i, job in enumerate(jobs):
if job["id"] == job_id:
now = _hermes_now().isoformat()
job["last_run_at"] = now
job["last_status"] = "ok" if success else "error"
job["last_error"] = error if not success else None
# Track delivery failures separately — cleared on successful delivery
job["last_delivery_error"] = delivery_error
jobs = load_jobs()
for i, job in enumerate(jobs):
if job["id"] == job_id:
now = _hermes_now().isoformat()
job["last_run_at"] = now
job["last_status"] = "ok" if success else "error"
job["last_error"] = error if not success else None
# Increment completed count
if job.get("repeat"):
job["repeat"]["completed"] = job["repeat"].get("completed", 0) + 1
# Increment completed count
if job.get("repeat"):
job["repeat"]["completed"] = job["repeat"].get("completed", 0) + 1
# Check if we've hit the repeat limit
times = job["repeat"].get("times")
completed = job["repeat"]["completed"]
if times is not None and times > 0 and completed >= times:
# Remove the job (limit reached)
jobs.pop(i)
save_jobs(jobs)
return
# Compute next run
job["next_run_at"] = compute_next_run(job["schedule"], now)
# If no next run (one-shot completed), disable
if job["next_run_at"] is None:
job["enabled"] = False
job["state"] = "completed"
elif job.get("state") != "paused":
job["state"] = "scheduled"
save_jobs(jobs)
return
logger.warning("mark_job_run: job_id %s not found, skipping save", job_id)
def advance_next_run(job_id: str) -> bool:
"""Preemptively advance next_run_at for a recurring job before execution.
Call this BEFORE run_job() so that if the process crashes mid-execution,
the job won't re-fire on the next gateway restart. This converts the
scheduler from at-least-once to at-most-once for recurring jobs missing
one run is far better than firing dozens of times in a crash loop.
One-shot jobs are left unchanged so they can still retry on restart.
Returns True if next_run_at was advanced, False otherwise.
"""
with _jobs_file_lock:
jobs = load_jobs()
for job in jobs:
if job["id"] == job_id:
kind = job.get("schedule", {}).get("kind")
if kind not in ("cron", "interval"):
return False
now = _hermes_now().isoformat()
new_next = compute_next_run(job["schedule"], now)
if new_next and new_next != job.get("next_run_at"):
job["next_run_at"] = new_next
# Check if we've hit the repeat limit
times = job["repeat"].get("times")
completed = job["repeat"]["completed"]
if times is not None and times > 0 and completed >= times:
# Remove the job (limit reached)
jobs.pop(i)
save_jobs(jobs)
return True
return False
return False
return
# Compute next run
job["next_run_at"] = compute_next_run(job["schedule"], now)
# If no next run (one-shot completed), disable
if job["next_run_at"] is None:
job["enabled"] = False
job["state"] = "completed"
elif job.get("state") != "paused":
job["state"] = "scheduled"
save_jobs(jobs)
return
save_jobs(jobs)
def get_due_jobs() -> List[Dict[str, Any]]:

568
cron/scheduler.py Normal file
View File

@@ -0,0 +1,568 @@
"""
Cron job scheduler - executes due jobs.
Provides tick() which checks for due jobs and runs them. The gateway
calls this every 60 seconds from a background thread.
Uses a file-based lock (~/.hermes/cron/.tick.lock) so only one tick
runs at a time if multiple processes overlap.
"""
import asyncio
import json
import logging
import os
import sys
import traceback
# fcntl is Unix-only; on Windows use msvcrt for file locking
try:
import fcntl
except ImportError:
fcntl = None
try:
import msvcrt
except ImportError:
msvcrt = None
from pathlib import Path
from hermes_constants import get_hermes_home
from typing import Optional
from hermes_time import now as _hermes_now
logger = logging.getLogger(__name__)
# Add parent directory to path for imports
sys.path.insert(0, str(Path(__file__).parent.parent))
from cron.jobs import get_due_jobs, mark_job_run, save_job_output
# Sentinel: when a cron agent has nothing new to report, it can start its
# response with this marker to suppress delivery. Output is still saved
# locally for audit.
SILENT_MARKER = "[SILENT]"
# Resolve Hermes home directory (respects HERMES_HOME override)
_hermes_home = get_hermes_home()
# File-based lock prevents concurrent ticks from gateway + daemon + systemd timer
_LOCK_DIR = _hermes_home / "cron"
_LOCK_FILE = _LOCK_DIR / ".tick.lock"
def _resolve_origin(job: dict) -> Optional[dict]:
"""Extract origin info from a job, preserving any extra routing metadata."""
origin = job.get("origin")
if not origin:
return None
platform = origin.get("platform")
chat_id = origin.get("chat_id")
if platform and chat_id:
return origin
return None
def _resolve_delivery_target(job: dict) -> Optional[dict]:
"""Resolve the concrete auto-delivery target for a cron job, if any."""
deliver = job.get("deliver", "local")
origin = _resolve_origin(job)
if deliver == "local":
return None
if deliver == "origin":
if not origin:
return None
return {
"platform": origin["platform"],
"chat_id": str(origin["chat_id"]),
"thread_id": origin.get("thread_id"),
}
if ":" in deliver:
platform_name, rest = deliver.split(":", 1)
# Check for thread_id suffix (e.g. "telegram:-1003724596514:17")
if ":" in rest:
chat_id, thread_id = rest.split(":", 1)
else:
chat_id, thread_id = rest, None
return {
"platform": platform_name,
"chat_id": chat_id,
"thread_id": thread_id,
}
platform_name = deliver
if origin and origin.get("platform") == platform_name:
return {
"platform": platform_name,
"chat_id": str(origin["chat_id"]),
"thread_id": origin.get("thread_id"),
}
chat_id = os.getenv(f"{platform_name.upper()}_HOME_CHANNEL", "")
if not chat_id:
return None
return {
"platform": platform_name,
"chat_id": chat_id,
"thread_id": None,
}
def _deliver_result(job: dict, content: str) -> None:
"""
Deliver job output to the configured target (origin chat, specific platform, etc.).
Uses the standalone platform send functions from send_message_tool so delivery
works whether or not the gateway is running.
"""
target = _resolve_delivery_target(job)
if not target:
if job.get("deliver", "local") != "local":
logger.warning(
"Job '%s' deliver=%s but no concrete delivery target could be resolved",
job["id"],
job.get("deliver", "local"),
)
return
platform_name = target["platform"]
chat_id = target["chat_id"]
thread_id = target.get("thread_id")
from tools.send_message_tool import _send_to_platform
from gateway.config import load_gateway_config, Platform
platform_map = {
"telegram": Platform.TELEGRAM,
"discord": Platform.DISCORD,
"slack": Platform.SLACK,
"whatsapp": Platform.WHATSAPP,
"signal": Platform.SIGNAL,
"matrix": Platform.MATRIX,
"mattermost": Platform.MATTERMOST,
"homeassistant": Platform.HOMEASSISTANT,
"dingtalk": Platform.DINGTALK,
"email": Platform.EMAIL,
"sms": Platform.SMS,
}
platform = platform_map.get(platform_name.lower())
if not platform:
logger.warning("Job '%s': unknown platform '%s' for delivery", job["id"], platform_name)
return
try:
config = load_gateway_config()
except Exception as e:
logger.error("Job '%s': failed to load gateway config for delivery: %s", job["id"], e)
return
pconfig = config.platforms.get(platform)
if not pconfig or not pconfig.enabled:
logger.warning("Job '%s': platform '%s' not configured/enabled", job["id"], platform_name)
return
# Wrap the content so the user knows this is a cron delivery and that
# the interactive agent has no visibility into it.
task_name = job.get("name", job["id"])
wrapped = (
f"Cronjob Response: {task_name}\n"
f"-------------\n\n"
f"{content}\n\n"
f"Note: The agent cannot see this message, and therefore cannot respond to it."
)
# Run the async send in a fresh event loop (safe from any thread)
coro = _send_to_platform(platform, pconfig, chat_id, wrapped, thread_id=thread_id)
try:
result = asyncio.run(coro)
except RuntimeError:
# asyncio.run() checks for a running loop before awaiting the coroutine;
# when it raises, the original coro was never started — close it to
# prevent "coroutine was never awaited" RuntimeWarning, then retry in a
# fresh thread that has no running loop.
coro.close()
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, wrapped, thread_id=thread_id))
result = future.result(timeout=30)
except Exception as e:
logger.error("Job '%s': delivery to %s:%s failed: %s", job["id"], platform_name, chat_id, e)
return
if result and result.get("error"):
logger.error("Job '%s': delivery error: %s", job["id"], result["error"])
else:
logger.info("Job '%s': delivered to %s:%s", job["id"], platform_name, chat_id)
def _build_job_prompt(job: dict) -> str:
"""Build the effective prompt for a cron job, optionally loading one or more skills first."""
prompt = job.get("prompt", "")
skills = job.get("skills")
# Always prepend [SILENT] guidance so the cron agent can suppress
# delivery when it has nothing new or noteworthy to report.
silent_hint = (
"[SYSTEM: If you have nothing new or noteworthy to report, respond "
"with exactly \"[SILENT]\" (optionally followed by a brief internal "
"note). This suppresses delivery to the user while still saving "
"output locally. Only use [SILENT] when there are genuinely no "
"changes worth reporting.]\n\n"
)
prompt = silent_hint + prompt
if skills is None:
legacy = job.get("skill")
skills = [legacy] if legacy else []
skill_names = [str(name).strip() for name in skills if str(name).strip()]
if not skill_names:
return prompt
from tools.skills_tool import skill_view
parts = []
skipped: list[str] = []
for skill_name in skill_names:
loaded = json.loads(skill_view(skill_name))
if not loaded.get("success"):
error = loaded.get("error") or f"Failed to load skill '{skill_name}'"
logger.warning("Cron job '%s': skill not found, skipping — %s", job.get("name", job.get("id")), error)
skipped.append(skill_name)
continue
content = str(loaded.get("content") or "").strip()
if parts:
parts.append("")
parts.extend(
[
f'[SYSTEM: The user has invoked the "{skill_name}" skill, indicating they want you to follow its instructions. The full skill content is loaded below.]',
"",
content,
]
)
if skipped:
notice = (
f"[SYSTEM: The following skill(s) were listed for this job but could not be found "
f"and were skipped: {', '.join(skipped)}. "
f"Start your response with a brief notice so the user is aware, e.g.: "
f"'⚠️ Skill(s) not found and skipped: {', '.join(skipped)}']"
)
parts.insert(0, notice)
if prompt:
parts.extend(["", f"The user has provided the following instruction alongside the skill invocation: {prompt}"])
return "\n".join(parts)
def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
"""
Execute a single cron job.
Returns:
Tuple of (success, full_output_doc, final_response, error_message)
"""
from run_agent import AIAgent
# Initialize SQLite session store so cron job messages are persisted
# and discoverable via session_search (same pattern as gateway/run.py).
_session_db = None
try:
from hermes_state import SessionDB
_session_db = SessionDB()
except Exception as e:
logger.debug("Job '%s': SQLite session store not available: %s", job.get("id", "?"), e)
job_id = job["id"]
job_name = job["name"]
prompt = _build_job_prompt(job)
origin = _resolve_origin(job)
_cron_session_id = f"cron_{job_id}_{_hermes_now().strftime('%Y%m%d_%H%M%S')}"
logger.info("Running job '%s' (ID: %s)", job_name, job_id)
logger.info("Prompt: %s", prompt[:100])
# Inject origin context so the agent's send_message tool knows the chat
if origin:
os.environ["HERMES_SESSION_PLATFORM"] = origin["platform"]
os.environ["HERMES_SESSION_CHAT_ID"] = str(origin["chat_id"])
if origin.get("chat_name"):
os.environ["HERMES_SESSION_CHAT_NAME"] = origin["chat_name"]
try:
# Re-read .env and config.yaml fresh every run so provider/key
# changes take effect without a gateway restart.
from dotenv import load_dotenv
try:
load_dotenv(str(_hermes_home / ".env"), override=True, encoding="utf-8")
except UnicodeDecodeError:
load_dotenv(str(_hermes_home / ".env"), override=True, encoding="latin-1")
delivery_target = _resolve_delivery_target(job)
if delivery_target:
os.environ["HERMES_CRON_AUTO_DELIVER_PLATFORM"] = delivery_target["platform"]
os.environ["HERMES_CRON_AUTO_DELIVER_CHAT_ID"] = str(delivery_target["chat_id"])
if delivery_target.get("thread_id") is not None:
os.environ["HERMES_CRON_AUTO_DELIVER_THREAD_ID"] = str(delivery_target["thread_id"])
model = job.get("model") or os.getenv("HERMES_MODEL") or "anthropic/claude-opus-4.6"
# Load config.yaml for model, reasoning, prefill, toolsets, provider routing
_cfg = {}
try:
import yaml
_cfg_path = str(_hermes_home / "config.yaml")
if os.path.exists(_cfg_path):
with open(_cfg_path) as _f:
_cfg = yaml.safe_load(_f) or {}
_model_cfg = _cfg.get("model", {})
if not job.get("model"):
if isinstance(_model_cfg, str):
model = _model_cfg
elif isinstance(_model_cfg, dict):
model = _model_cfg.get("default", model)
except Exception as e:
logger.warning("Job '%s': failed to load config.yaml, using defaults: %s", job_id, e)
# Reasoning config from env or config.yaml
from hermes_constants import parse_reasoning_effort
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
prefill_messages = None
prefill_file = os.getenv("HERMES_PREFILL_MESSAGES_FILE", "") or _cfg.get("prefill_messages_file", "")
if prefill_file:
import json as _json
pfpath = Path(prefill_file).expanduser()
if not pfpath.is_absolute():
pfpath = _hermes_home / pfpath
if pfpath.exists():
try:
with open(pfpath, "r", encoding="utf-8") as _pf:
prefill_messages = _json.load(_pf)
if not isinstance(prefill_messages, list):
prefill_messages = None
except Exception as e:
logger.warning("Job '%s': failed to parse prefill messages file '%s': %s", job_id, pfpath, e)
prefill_messages = None
# Max iterations
max_iterations = _cfg.get("agent", {}).get("max_turns") or _cfg.get("max_turns") or 90
# Provider routing
pr = _cfg.get("provider_routing", {})
smart_routing = _cfg.get("smart_model_routing", {}) or {}
from hermes_cli.runtime_provider import (
resolve_runtime_provider,
format_runtime_provider_error,
)
try:
runtime_kwargs = {
"requested": job.get("provider") or os.getenv("HERMES_INFERENCE_PROVIDER"),
}
if job.get("base_url"):
runtime_kwargs["explicit_base_url"] = job.get("base_url")
runtime = resolve_runtime_provider(**runtime_kwargs)
except Exception as exc:
message = format_runtime_provider_error(exc)
raise RuntimeError(message) from exc
from agent.smart_model_routing import resolve_turn_route
turn_route = resolve_turn_route(
prompt,
smart_routing,
{
"model": model,
"api_key": runtime.get("api_key"),
"base_url": runtime.get("base_url"),
"provider": runtime.get("provider"),
"api_mode": runtime.get("api_mode"),
"command": runtime.get("command"),
"args": list(runtime.get("args") or []),
},
)
agent = AIAgent(
model=turn_route["model"],
api_key=turn_route["runtime"].get("api_key"),
base_url=turn_route["runtime"].get("base_url"),
provider=turn_route["runtime"].get("provider"),
api_mode=turn_route["runtime"].get("api_mode"),
acp_command=turn_route["runtime"].get("command"),
acp_args=turn_route["runtime"].get("args"),
max_iterations=max_iterations,
reasoning_config=reasoning_config,
prefill_messages=prefill_messages,
providers_allowed=pr.get("only"),
providers_ignored=pr.get("ignore"),
providers_order=pr.get("order"),
provider_sort=pr.get("sort"),
disabled_toolsets=["cronjob", "messaging", "clarify"],
quiet_mode=True,
platform="cron",
session_id=_cron_session_id,
session_db=_session_db,
)
result = agent.run_conversation(prompt)
final_response = result.get("final_response", "") or ""
# Use a separate variable for log display; keep final_response clean
# for delivery logic (empty response = no delivery).
logged_response = final_response if final_response else "(No response generated)"
output = f"""# Cron Job: {job_name}
**Job ID:** {job_id}
**Run Time:** {_hermes_now().strftime('%Y-%m-%d %H:%M:%S')}
**Schedule:** {job.get('schedule_display', 'N/A')}
## Prompt
{prompt}
## Response
{logged_response}
"""
logger.info("Job '%s' completed successfully", job_name)
return True, output, final_response, None
except Exception as e:
error_msg = f"{type(e).__name__}: {str(e)}"
logger.error("Job '%s' failed: %s", job_name, error_msg)
output = f"""# Cron Job: {job_name} (FAILED)
**Job ID:** {job_id}
**Run Time:** {_hermes_now().strftime('%Y-%m-%d %H:%M:%S')}
**Schedule:** {job.get('schedule_display', 'N/A')}
## Prompt
{prompt}
## Error
```
{error_msg}
{traceback.format_exc()}
```
"""
return False, output, "", error_msg
finally:
# Clean up injected env vars so they don't leak to other jobs
for key in (
"HERMES_SESSION_PLATFORM",
"HERMES_SESSION_CHAT_ID",
"HERMES_SESSION_CHAT_NAME",
"HERMES_CRON_AUTO_DELIVER_PLATFORM",
"HERMES_CRON_AUTO_DELIVER_CHAT_ID",
"HERMES_CRON_AUTO_DELIVER_THREAD_ID",
):
os.environ.pop(key, None)
if _session_db:
try:
_session_db.end_session(_cron_session_id, "cron_complete")
except (Exception, KeyboardInterrupt) as e:
logger.debug("Job '%s': failed to end session: %s", job_id, e)
try:
_session_db.close()
except (Exception, KeyboardInterrupt) as e:
logger.debug("Job '%s': failed to close SQLite session store: %s", job_id, e)
def tick(verbose: bool = True) -> int:
"""
Check and run all due jobs.
Uses a file lock so only one tick runs at a time, even if the gateway's
in-process ticker and a standalone daemon or manual tick overlap.
Args:
verbose: Whether to print status messages
Returns:
Number of jobs executed (0 if another tick is already running)
"""
_LOCK_DIR.mkdir(parents=True, exist_ok=True)
# Cross-platform file locking: fcntl on Unix, msvcrt on Windows
lock_fd = None
try:
lock_fd = open(_LOCK_FILE, "w")
if fcntl:
fcntl.flock(lock_fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
elif msvcrt:
msvcrt.locking(lock_fd.fileno(), msvcrt.LK_NBLCK, 1)
except (OSError, IOError):
logger.debug("Tick skipped — another instance holds the lock")
if lock_fd is not None:
lock_fd.close()
return 0
try:
due_jobs = get_due_jobs()
if verbose and not due_jobs:
logger.info("%s - No jobs due", _hermes_now().strftime('%H:%M:%S'))
return 0
if verbose:
logger.info("%s - %s job(s) due", _hermes_now().strftime('%H:%M:%S'), len(due_jobs))
executed = 0
for job in due_jobs:
try:
success, output, final_response, error = run_job(job)
output_file = save_job_output(job["id"], output)
if verbose:
logger.info("Output saved to: %s", output_file)
# Deliver the final response to the origin/target chat.
# If the agent responded with [SILENT], skip delivery (but
# output is already saved above). Failed jobs always deliver.
deliver_content = final_response if success else f"⚠️ Cron job '{job.get('name', job['id'])}' failed:\n{error}"
should_deliver = bool(deliver_content)
if should_deliver and success and deliver_content.strip().upper().startswith(SILENT_MARKER):
logger.info("Job '%s': agent returned %s — skipping delivery", job["id"], SILENT_MARKER)
should_deliver = False
if should_deliver:
try:
_deliver_result(job, deliver_content)
except Exception as de:
logger.error("Delivery failed for job %s: %s", job["id"], de)
mark_job_run(job["id"], success, error)
executed += 1
except Exception as e:
logger.error("Error processing job %s: %s", job['id'], e)
mark_job_run(job["id"], False, str(e))
return executed
finally:
if fcntl:
fcntl.flock(lock_fd, fcntl.LOCK_UN)
elif msvcrt:
try:
msvcrt.locking(lock_fd.fileno(), msvcrt.LK_UNLCK, 1)
except (OSError, IOError):
pass
lock_fd.close()
if __name__ == "__main__":
tick(verbose=True)

View File

@@ -29,7 +29,7 @@ echo "📝 Logging to: $LOG_FILE"
# Point to the example dataset in this directory
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
python scripts/batch_runner.py \
python batch_runner.py \
--dataset_file="$SCRIPT_DIR/example_browser_tasks.jsonl" \
--batch_size=5 \
--run_name="browser_tasks_example" \

View File

@@ -4,7 +4,7 @@
# Generates tool-calling trajectories for multi-step web research tasks.
#
# Usage:
# python scripts/batch_runner.py \
# python batch_runner.py \
# --config datagen-config-examples/web_research.yaml \
# --run_name web_research_v1

View File

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

View File

@@ -1,71 +0,0 @@
#!/bin/bash
# Docker/Podman entrypoint: bootstrap config files into the mounted volume, then run hermes.
set -e
HERMES_HOME="${HERMES_HOME:-/opt/data}"
INSTALL_DIR="/opt/hermes"
# --- Privilege dropping via gosu ---
# When started as root (the default for Docker, or fakeroot in rootless Podman),
# optionally remap the hermes user/group to match host-side ownership, fix volume
# permissions, then re-exec as hermes.
if [ "$(id -u)" = "0" ]; then
if [ -n "$HERMES_UID" ] && [ "$HERMES_UID" != "$(id -u hermes)" ]; then
echo "Changing hermes UID to $HERMES_UID"
usermod -u "$HERMES_UID" hermes
fi
if [ -n "$HERMES_GID" ] && [ "$HERMES_GID" != "$(id -g hermes)" ]; then
echo "Changing hermes GID to $HERMES_GID"
# -o allows non-unique GID (e.g. macOS GID 20 "staff" may already exist
# as "dialout" in the Debian-based container image)
groupmod -o -g "$HERMES_GID" hermes 2>/dev/null || true
fi
actual_hermes_uid=$(id -u hermes)
if [ "$(stat -c %u "$HERMES_HOME" 2>/dev/null)" != "$actual_hermes_uid" ]; then
echo "$HERMES_HOME is not owned by $actual_hermes_uid, fixing"
# In rootless Podman the container's "root" is mapped to an unprivileged
# host UID — chown will fail. That's fine: the volume is already owned
# by the mapped user on the host side.
chown -R hermes:hermes "$HERMES_HOME" 2>/dev/null || \
echo "Warning: chown failed (rootless container?) — continuing anyway"
fi
echo "Dropping root privileges"
exec gosu hermes "$0" "$@"
fi
# --- Running as hermes from here ---
source "${INSTALL_DIR}/.venv/bin/activate"
# Create essential directory structure. Cache and platform directories
# (cache/images, cache/audio, platforms/whatsapp, etc.) are created on
# demand by the application — don't pre-create them here so new installs
# get the consolidated layout from get_hermes_dir().
# The "home/" subdirectory is a per-profile HOME for subprocesses (git,
# ssh, gh, npm …). Without it those tools write to /root which is
# ephemeral and shared across profiles. See issue #4426.
mkdir -p "$HERMES_HOME"/{cron,sessions,logs,hooks,memories,skills,skins,plans,workspace,home}
# .env
if [ ! -f "$HERMES_HOME/.env" ]; then
cp "$INSTALL_DIR/.env.example" "$HERMES_HOME/.env"
fi
# config.yaml
if [ ! -f "$HERMES_HOME/config.yaml" ]; then
cp "$INSTALL_DIR/cli-config.yaml.example" "$HERMES_HOME/config.yaml"
fi
# SOUL.md
if [ ! -f "$HERMES_HOME/SOUL.md" ]; then
cp "$INSTALL_DIR/docker/SOUL.md" "$HERMES_HOME/SOUL.md"
fi
# Sync bundled skills (manifest-based so user edits are preserved)
if [ -d "$INSTALL_DIR/skills" ]; then
hermes-skills-sync
fi
exec hermes "$@"

229
docs/acp-setup.md Normal file
View File

@@ -0,0 +1,229 @@
# Hermes Agent — ACP (Agent Client Protocol) Setup Guide
Hermes Agent supports the **Agent Client Protocol (ACP)**, allowing it to run as
a coding agent inside your editor. ACP lets your IDE send tasks to Hermes, and
Hermes responds with file edits, terminal commands, and explanations — all shown
natively in the editor UI.
---
## Prerequisites
- Hermes Agent installed and configured (`hermes setup` completed)
- An API key / provider set up in `~/.hermes/.env` or via `hermes login`
- Python 3.11+
Install the ACP extra:
```bash
pip install -e ".[acp]"
```
---
## VS Code Setup
### 1. Install the ACP Client extension
Open VS Code and install **ACP Client** from the marketplace:
- Press `Ctrl+Shift+X` (or `Cmd+Shift+X` on macOS)
- Search for **"ACP Client"**
- Click **Install**
Or install from the command line:
```bash
code --install-extension anysphere.acp-client
```
### 2. Configure settings.json
Open your VS Code settings (`Ctrl+,` → click the `{}` icon for JSON) and add:
```json
{
"acpClient.agents": [
{
"name": "hermes-agent",
"registryDir": "/path/to/hermes-agent/acp_registry"
}
]
}
```
Replace `/path/to/hermes-agent` with the actual path to your Hermes Agent
installation (e.g. `~/.hermes/hermes-agent`).
Alternatively, if `hermes` is on your PATH, the ACP Client can discover it
automatically via the registry directory.
### 3. Restart VS Code
After configuring, restart VS Code. You should see **Hermes Agent** appear in
the ACP agent picker in the chat/agent panel.
---
## Zed Setup
Zed has built-in ACP support.
### 1. Configure Zed settings
Open Zed settings (`Cmd+,` on macOS or `Ctrl+,` on Linux) and add to your
`settings.json`:
```json
{
"acp": {
"agents": [
{
"name": "hermes-agent",
"registry_dir": "/path/to/hermes-agent/acp_registry"
}
]
}
}
```
### 2. Restart Zed
Hermes Agent will appear in the agent panel. Select it and start a conversation.
---
## JetBrains Setup (IntelliJ, PyCharm, WebStorm, etc.)
### 1. Install the ACP plugin
- Open **Settings****Plugins****Marketplace**
- Search for **"ACP"** or **"Agent Client Protocol"**
- Install and restart the IDE
### 2. Configure the agent
- Open **Settings****Tools****ACP Agents**
- Click **+** to add a new agent
- Set the registry directory to your `acp_registry/` folder:
`/path/to/hermes-agent/acp_registry`
- Click **OK**
### 3. Use the agent
Open the ACP panel (usually in the right sidebar) and select **Hermes Agent**.
---
## What You Will See
Once connected, your editor provides a native interface to Hermes Agent:
### Chat Panel
A conversational interface where you can describe tasks, ask questions, and
give instructions. Hermes responds with explanations and actions.
### File Diffs
When Hermes edits files, you see standard diffs in the editor. You can:
- **Accept** individual changes
- **Reject** changes you don't want
- **Review** the full diff before applying
### Terminal Commands
When Hermes needs to run shell commands (builds, tests, installs), the editor
shows them in an integrated terminal. Depending on your settings:
- Commands may run automatically
- Or you may be prompted to **approve** each command
### Approval Flow
For potentially destructive operations, the editor will prompt you for
approval before Hermes proceeds. This includes:
- File deletions
- Shell commands
- Git operations
---
## Configuration
Hermes Agent under ACP uses the **same configuration** as the CLI:
- **API keys / providers**: `~/.hermes/.env`
- **Agent config**: `~/.hermes/config.yaml`
- **Skills**: `~/.hermes/skills/`
- **Sessions**: `~/.hermes/state.db`
You can run `hermes setup` to configure providers, or edit `~/.hermes/.env`
directly.
### Changing the model
Edit `~/.hermes/config.yaml`:
```yaml
model: openrouter/nous/hermes-3-llama-3.1-70b
```
Or set the `HERMES_MODEL` environment variable.
### Toolsets
ACP sessions use the curated `hermes-acp` toolset by default. It is designed for editor workflows and intentionally excludes things like messaging delivery, cronjob management, and audio-first UX features.
---
## Troubleshooting
### Agent doesn't appear in the editor
1. **Check the registry path** — make sure the `acp_registry/` directory path
in your editor settings is correct and contains `agent.json`.
2. **Check `hermes` is on PATH** — run `which hermes` in a terminal. If not
found, you may need to activate your virtualenv or add it to PATH.
3. **Restart the editor** after changing settings.
### Agent starts but errors immediately
1. Run `hermes doctor` to check your configuration.
2. Check that you have a valid API key: `hermes status`
3. Try running `hermes acp` directly in a terminal to see error output.
### "Module not found" errors
Make sure you installed the ACP extra:
```bash
pip install -e ".[acp]"
```
### Slow responses
- ACP streams responses, so you should see incremental output. If the agent
appears stuck, check your network connection and API provider status.
- Some providers have rate limits. Try switching to a different model/provider.
### Permission denied for terminal commands
If the editor blocks terminal commands, check your ACP Client extension
settings for auto-approval or manual-approval preferences.
### Logs
Hermes logs are written to stderr when running in ACP mode. Check:
- VS Code: **Output** panel → select **ACP Client** or **Hermes Agent**
- Zed: **View****Toggle Terminal** and check the process output
- JetBrains: **Event Log** or the ACP tool window
You can also enable verbose logging:
```bash
HERMES_LOG_LEVEL=DEBUG hermes acp
```
---
## Further Reading
- [ACP Specification](https://github.com/anysphere/acp)
- [Hermes Agent Documentation](https://github.com/NousResearch/hermes-agent)
- Run `hermes --help` for all CLI options

View File

@@ -0,0 +1,698 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>honcho-integration-spec</title>
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</head>
<body>
<div class="progress-bar" id="progress"></div>
<div class="container">
<header class="hero">
<h1>honcho<span>-integration-spec</span></h1>
<p class="subtitle">Comparison of Hermes Agent vs. openclaw-honcho — and a porting spec for bringing Hermes patterns into other Honcho integrations.</p>
<div class="meta">
<span>hermes-agent / openclaw-honcho</span>
<span>Python + TypeScript</span>
<span>2026-03-09</span>
</div>
</header>
<nav class="toc">
<h2>Contents</h2>
<ol>
<li><a href="#overview">Overview</a></li>
<li><a href="#architecture">Architecture comparison</a></li>
<li><a href="#diff-table">Diff table</a></li>
<li><a href="#patterns">Hermes patterns to port</a></li>
<li><a href="#spec-async">Spec: async prefetch</a></li>
<li><a href="#spec-reasoning">Spec: dynamic reasoning level</a></li>
<li><a href="#spec-modes">Spec: per-peer memory modes</a></li>
<li><a href="#spec-identity">Spec: AI peer identity formation</a></li>
<li><a href="#spec-sessions">Spec: session naming strategies</a></li>
<li><a href="#spec-cli">Spec: CLI surface injection</a></li>
<li><a href="#openclaw-checklist">openclaw-honcho checklist</a></li>
<li><a href="#nanobot-checklist">nanobot-honcho checklist</a></li>
</ol>
</nav>
<!-- OVERVIEW -->
<section id="overview">
<h2>Overview</h2>
<p>Two independent Honcho integrations have been built for two different agent runtimes: <strong>Hermes Agent</strong> (Python, baked into the runner) and <strong>openclaw-honcho</strong> (TypeScript plugin via hook/tool API). Both use the same Honcho peer paradigm — dual peer model, <code>session.context()</code>, <code>peer.chat()</code> — but they made different tradeoffs at every layer.</p>
<p>This document maps those tradeoffs and defines a porting spec: a set of Hermes-originated patterns, each stated as an integration-agnostic interface, that any Honcho integration can adopt regardless of runtime or language.</p>
<div class="callout">
<strong>Scope</strong> Both integrations work correctly today. This spec is about the delta — patterns in Hermes that are worth propagating and patterns in openclaw-honcho that Hermes should eventually adopt. The spec is additive, not prescriptive.
</div>
</section>
<!-- ARCHITECTURE -->
<section id="architecture">
<h2>Architecture comparison</h2>
<h3>Hermes: baked-in runner</h3>
<p>Honcho is initialised directly inside <code>AIAgent.__init__</code>. There is no plugin boundary. Session management, context injection, async prefetch, and CLI surface are all first-class concerns of the runner. Context is injected once per session (baked into <code>_cached_system_prompt</code>) and never re-fetched mid-session — this maximises prefix cache hits at the LLM provider.</p>
<div class="mermaid">
%%{init: {'theme': 'dark', 'themeVariables': { 'primaryColor': '#1f3150', 'primaryTextColor': '#c9d1d9', 'primaryBorderColor': '#3d6ea5', 'lineColor': '#3d6ea5', 'secondaryColor': '#162030', 'tertiaryColor': '#11151c' }}}%%
flowchart TD
U["user message"] --> P["_honcho_prefetch()<br/>(reads cache — no HTTP)"]
P --> SP["_build_system_prompt()<br/>(first turn only, cached)"]
SP --> LLM["LLM call"]
LLM --> R["response"]
R --> FP["_honcho_fire_prefetch()<br/>(daemon threads, turn end)"]
FP --> C1["prefetch_context() thread"]
FP --> C2["prefetch_dialectic() thread"]
C1 --> CACHE["_context_cache / _dialectic_cache"]
C2 --> CACHE
style U fill:#162030,stroke:#3d6ea5,color:#c9d1d9
style P fill:#1f3150,stroke:#3d6ea5,color:#c9d1d9
style SP fill:#1f3150,stroke:#3d6ea5,color:#c9d1d9
style LLM fill:#162030,stroke:#3d6ea5,color:#c9d1d9
style R fill:#162030,stroke:#3d6ea5,color:#c9d1d9
style FP fill:#2a1a40,stroke:#bc8cff,color:#c9d1d9
style C1 fill:#2a1a40,stroke:#bc8cff,color:#c9d1d9
style C2 fill:#2a1a40,stroke:#bc8cff,color:#c9d1d9
style CACHE fill:#11151c,stroke:#484f58,color:#6e7681
</div>
<h3>openclaw-honcho: hook-based plugin</h3>
<p>The plugin registers hooks against OpenClaw's event bus. Context is fetched synchronously inside <code>before_prompt_build</code> on every turn. Message capture happens in <code>agent_end</code>. The multi-agent hierarchy is tracked via <code>subagent_spawned</code>. This model is correct but every turn pays a blocking Honcho round-trip before the LLM call can begin.</p>
<div class="mermaid">
%%{init: {'theme': 'dark', 'themeVariables': { 'primaryColor': '#1f3150', 'primaryTextColor': '#c9d1d9', 'primaryBorderColor': '#3d6ea5', 'lineColor': '#3d6ea5', 'secondaryColor': '#162030', 'tertiaryColor': '#11151c' }}}%%
flowchart TD
U2["user message"] --> BPB["before_prompt_build<br/>(BLOCKING HTTP — every turn)"]
BPB --> CTX["session.context()"]
CTX --> SP2["system prompt assembled"]
SP2 --> LLM2["LLM call"]
LLM2 --> R2["response"]
R2 --> AE["agent_end hook"]
AE --> SAVE["session.addMessages()<br/>session.setMetadata()"]
style U2 fill:#162030,stroke:#3d6ea5,color:#c9d1d9
style BPB fill:#3a1515,stroke:#f47067,color:#c9d1d9
style CTX fill:#3a1515,stroke:#f47067,color:#c9d1d9
style SP2 fill:#1f3150,stroke:#3d6ea5,color:#c9d1d9
style LLM2 fill:#162030,stroke:#3d6ea5,color:#c9d1d9
style R2 fill:#162030,stroke:#3d6ea5,color:#c9d1d9
style AE fill:#162030,stroke:#3d6ea5,color:#c9d1d9
style SAVE fill:#11151c,stroke:#484f58,color:#6e7681
</div>
</section>
<!-- DIFF TABLE -->
<section id="diff-table">
<h2>Diff table</h2>
<div class="table-wrap">
<table>
<thead>
<tr>
<th>Dimension</th>
<th>Hermes Agent</th>
<th>openclaw-honcho</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Context injection timing</strong></td>
<td>Once per session (cached). Zero HTTP on response path after turn 1.</td>
<td>Every turn, blocking. Fresh context per turn but adds latency.</td>
</tr>
<tr>
<td><strong>Prefetch strategy</strong></td>
<td>Daemon threads fire at turn end; consumed next turn from cache.</td>
<td>None. Blocking call at prompt-build time.</td>
</tr>
<tr>
<td><strong>Dialectic (peer.chat)</strong></td>
<td>Prefetched async; result injected into system prompt next turn.</td>
<td>On-demand via <code>honcho_recall</code> / <code>honcho_analyze</code> tools.</td>
</tr>
<tr>
<td><strong>Reasoning level</strong></td>
<td>Dynamic: scales with message length. Floor = config default. Cap = "high".</td>
<td>Fixed per tool: recall=minimal, analyze=medium.</td>
</tr>
<tr>
<td><strong>Memory modes</strong></td>
<td><code>user_memory_mode</code> / <code>agent_memory_mode</code>: hybrid / honcho / local.</td>
<td>None. Always writes to Honcho.</td>
</tr>
<tr>
<td><strong>Write frequency</strong></td>
<td>async (background queue), turn, session, N turns.</td>
<td>After every agent_end (no control).</td>
</tr>
<tr>
<td><strong>AI peer identity</strong></td>
<td><code>observe_me=True</code>, <code>seed_ai_identity()</code>, <code>get_ai_representation()</code>, SOUL.md → AI peer.</td>
<td>Agent files uploaded to agent peer at setup. No ongoing self-observation seeding.</td>
</tr>
<tr>
<td><strong>Context scope</strong></td>
<td>User peer + AI peer representation, both injected.</td>
<td>User peer (owner) representation + conversation summary. <code>peerPerspective</code> on context call.</td>
</tr>
<tr>
<td><strong>Session naming</strong></td>
<td>per-directory / global / manual map / title-based.</td>
<td>Derived from platform session key.</td>
</tr>
<tr>
<td><strong>Multi-agent</strong></td>
<td>Single-agent only.</td>
<td>Parent observer hierarchy via <code>subagent_spawned</code>.</td>
</tr>
<tr>
<td><strong>Tool surface</strong></td>
<td>Single <code>query_user_context</code> tool (on-demand dialectic).</td>
<td>6 tools: session, profile, search, context (fast) + recall, analyze (LLM).</td>
</tr>
<tr>
<td><strong>Platform metadata</strong></td>
<td>Not stripped.</td>
<td>Explicitly stripped before Honcho storage.</td>
</tr>
<tr>
<td><strong>Message dedup</strong></td>
<td>None (sends on every save cycle).</td>
<td><code>lastSavedIndex</code> in session metadata prevents re-sending.</td>
</tr>
<tr>
<td><strong>CLI surface in prompt</strong></td>
<td>Management commands injected into system prompt. Agent knows its own CLI.</td>
<td>Not injected.</td>
</tr>
<tr>
<td><strong>AI peer name in identity</strong></td>
<td>Replaces "Hermes Agent" in DEFAULT_AGENT_IDENTITY when configured.</td>
<td>Not implemented.</td>
</tr>
<tr>
<td><strong>QMD / local file search</strong></td>
<td>Not implemented.</td>
<td>Passthrough tools when QMD backend configured.</td>
</tr>
<tr>
<td><strong>Workspace metadata</strong></td>
<td>Not implemented.</td>
<td><code>agentPeerMap</code> in workspace metadata tracks agent&#8594;peer ID.</td>
</tr>
</tbody>
</table>
</div>
</section>
<!-- PATTERNS -->
<section id="patterns">
<h2>Hermes patterns to port</h2>
<p>Six patterns from Hermes are worth adopting in any Honcho integration. They are described below as integration-agnostic interfaces — the implementation will differ per runtime, but the contract is the same.</p>
<div class="compare">
<div class="compare-card">
<h4>Patterns Hermes contributes</h4>
<ul>
<li>Async prefetch (zero-latency)</li>
<li>Dynamic reasoning level</li>
<li>Per-peer memory modes</li>
<li>AI peer identity formation</li>
<li>Session naming strategies</li>
<li>CLI surface injection</li>
</ul>
</div>
<div class="compare-card after">
<h4>Patterns openclaw contributes back</h4>
<ul>
<li>lastSavedIndex dedup</li>
<li>Platform metadata stripping</li>
<li>Multi-agent observer hierarchy</li>
<li>peerPerspective on context()</li>
<li>Tiered tool surface (fast/LLM)</li>
<li>Workspace agentPeerMap</li>
</ul>
</div>
</div>
</section>
<!-- SPEC: ASYNC PREFETCH -->
<section id="spec-async">
<h2>Spec: async prefetch</h2>
<h3>Problem</h3>
<p>Calling <code>session.context()</code> and <code>peer.chat()</code> synchronously before each LLM call adds 200800ms of Honcho round-trip latency to every turn. Users experience this as the agent "thinking slowly."</p>
<h3>Pattern</h3>
<p>Fire both calls as non-blocking background work at the <strong>end</strong> of each turn. Store results in a per-session cache keyed by session ID. At the <strong>start</strong> of the next turn, pop from cache — the HTTP is already done. First turn is cold (empty cache); all subsequent turns are zero-latency on the response path.</p>
<h3>Interface contract</h3>
<pre><code><span class="cm">// TypeScript (openclaw / nanobot plugin shape)</span>
<span class="kw">interface</span> <span class="key">AsyncPrefetch</span> {
<span class="cm">// Fire context + dialectic fetches at turn end. Non-blocking.</span>
firePrefetch(sessionId: <span class="str">string</span>, userMessage: <span class="str">string</span>): <span class="kw">void</span>;
<span class="cm">// Pop cached results at turn start. Returns empty if cache is cold.</span>
popContextResult(sessionId: <span class="str">string</span>): ContextResult | <span class="kw">null</span>;
popDialecticResult(sessionId: <span class="str">string</span>): <span class="str">string</span> | <span class="kw">null</span>;
}
<span class="kw">type</span> <span class="key">ContextResult</span> = {
representation: <span class="str">string</span>;
card: <span class="str">string</span>[];
aiRepresentation?: <span class="str">string</span>; <span class="cm">// AI peer context if enabled</span>
summary?: <span class="str">string</span>; <span class="cm">// conversation summary if fetched</span>
};</code></pre>
<h3>Implementation notes</h3>
<ul>
<li>Python: <code>threading.Thread(daemon=True)</code>. Write to <code>dict[session_id, result]</code> — GIL makes this safe for simple writes.</li>
<li>TypeScript: <code>Promise</code> stored in <code>Map&lt;string, Promise&lt;ContextResult&gt;&gt;</code>. Await at pop time. If not resolved yet, skip (return null) — do not block.</li>
<li>The pop is destructive: clears the cache entry after reading so stale data never accumulates.</li>
<li>Prefetch should also fire on first turn (even though it won't be consumed until turn 2) — this ensures turn 2 is never cold.</li>
</ul>
<h3>openclaw-honcho adoption</h3>
<p>Move <code>session.context()</code> from <code>before_prompt_build</code> to a post-<code>agent_end</code> background task. Store result in <code>state.contextCache</code>. In <code>before_prompt_build</code>, read from cache instead of calling Honcho. If cache is empty (turn 1), inject nothing — the prompt is still valid without Honcho context on the first turn.</p>
</section>
<!-- SPEC: DYNAMIC REASONING LEVEL -->
<section id="spec-reasoning">
<h2>Spec: dynamic reasoning level</h2>
<h3>Problem</h3>
<p>Honcho's dialectic endpoint supports reasoning levels from <code>minimal</code> to <code>max</code>. A fixed level per tool wastes budget on simple queries and under-serves complex ones.</p>
<h3>Pattern</h3>
<p>Select the reasoning level dynamically based on the user's message. Use the configured default as a floor. Bump by message length. Cap auto-selection at <code>high</code> — never select <code>max</code> automatically.</p>
<h3>Interface contract</h3>
<pre><code><span class="cm">// Shared helper — identical logic in any language</span>
<span class="kw">const</span> LEVELS = [<span class="str">"minimal"</span>, <span class="str">"low"</span>, <span class="str">"medium"</span>, <span class="str">"high"</span>, <span class="str">"max"</span>];
<span class="kw">function</span> <span class="key">dynamicReasoningLevel</span>(
query: <span class="str">string</span>,
configDefault: <span class="str">string</span> = <span class="str">"low"</span>
): <span class="str">string</span> {
<span class="kw">const</span> baseIdx = Math.max(<span class="num">0</span>, LEVELS.indexOf(configDefault));
<span class="kw">const</span> n = query.length;
<span class="kw">const</span> bump = n &lt; <span class="num">120</span> ? <span class="num">0</span> : n &lt; <span class="num">400</span> ? <span class="num">1</span> : <span class="num">2</span>;
<span class="kw">return</span> LEVELS[Math.min(baseIdx + bump, <span class="num">3</span>)]; <span class="cm">// cap at "high" (idx 3)</span>
}</code></pre>
<h3>Config key</h3>
<p>Add a <code>dialecticReasoningLevel</code> config field (string, default <code>"low"</code>). This sets the floor. Users can raise or lower it. The dynamic bump always applies on top.</p>
<h3>openclaw-honcho adoption</h3>
<p>Apply in <code>honcho_recall</code> and <code>honcho_analyze</code>: replace the fixed <code>reasoningLevel</code> with the dynamic selector. <code>honcho_recall</code> should use floor <code>"minimal"</code> and <code>honcho_analyze</code> floor <code>"medium"</code> — both still bump with message length.</p>
</section>
<!-- SPEC: PER-PEER MEMORY MODES -->
<section id="spec-modes">
<h2>Spec: per-peer memory modes</h2>
<h3>Problem</h3>
<p>Users want independent control over whether user context and agent context are written locally, to Honcho, or both. A single <code>memoryMode</code> shorthand is not granular enough.</p>
<h3>Pattern</h3>
<p>Three modes per peer: <code>hybrid</code> (write both local + Honcho), <code>honcho</code> (Honcho only, disable local files), <code>local</code> (local files only, skip Honcho sync for this peer). Two orthogonal axes: user peer and agent peer.</p>
<h3>Config schema</h3>
<pre><code><span class="cm">// ~/.openclaw/openclaw.json (or ~/.nanobot/config.json)</span>
{
<span class="str">"plugins"</span>: {
<span class="str">"openclaw-honcho"</span>: {
<span class="str">"config"</span>: {
<span class="str">"apiKey"</span>: <span class="str">"..."</span>,
<span class="str">"memoryMode"</span>: <span class="str">"hybrid"</span>, <span class="cm">// shorthand: both peers</span>
<span class="str">"userMemoryMode"</span>: <span class="str">"honcho"</span>, <span class="cm">// override for user peer</span>
<span class="str">"agentMemoryMode"</span>: <span class="str">"hybrid"</span> <span class="cm">// override for agent peer</span>
}
}
}
}</code></pre>
<h3>Resolution order</h3>
<ol>
<li>Per-peer field (<code>userMemoryMode</code> / <code>agentMemoryMode</code>) — wins if present.</li>
<li>Shorthand <code>memoryMode</code> — applies to both peers as default.</li>
<li>Hardcoded default: <code>"hybrid"</code>.</li>
</ol>
<h3>Effect on Honcho sync</h3>
<ul>
<li><code>userMemoryMode=local</code>: skip adding user peer messages to Honcho.</li>
<li><code>agentMemoryMode=local</code>: skip adding assistant peer messages to Honcho.</li>
<li>Both local: skip <code>session.addMessages()</code> entirely.</li>
<li><code>userMemoryMode=honcho</code>: disable local USER.md writes.</li>
<li><code>agentMemoryMode=honcho</code>: disable local MEMORY.md / SOUL.md writes.</li>
</ul>
</section>
<!-- SPEC: AI PEER IDENTITY -->
<section id="spec-identity">
<h2>Spec: AI peer identity formation</h2>
<h3>Problem</h3>
<p>Honcho builds the user's representation organically by observing what the user says. The same mechanism exists for the AI peer — but only if <code>observe_me=True</code> is set for the agent peer. Without it, the agent peer accumulates nothing and Honcho's AI-side model never forms.</p>
<p>Additionally, existing persona files (SOUL.md, IDENTITY.md) should seed the AI peer's Honcho representation at first activation, rather than waiting for it to emerge from scratch.</p>
<h3>Part A: observe_me=True for agent peer</h3>
<pre><code><span class="cm">// TypeScript — in session.addPeers() call</span>
<span class="kw">await</span> session.addPeers([
[ownerPeer.id, { observeMe: <span class="kw">true</span>, observeOthers: <span class="kw">false</span> }],
[agentPeer.id, { observeMe: <span class="kw">true</span>, observeOthers: <span class="kw">true</span> }], <span class="cm">// was false</span>
]);</code></pre>
<p>This is a one-line change but foundational. Without it, Honcho's AI peer representation stays empty regardless of what the agent says.</p>
<h3>Part B: seedAiIdentity()</h3>
<pre><code><span class="kw">async function</span> <span class="key">seedAiIdentity</span>(
session: HonchoSession,
agentPeer: Peer,
content: <span class="str">string</span>,
source: <span class="str">string</span>
): Promise&lt;<span class="kw">boolean</span>&gt; {
<span class="kw">const</span> wrapped = [
<span class="str">`&lt;ai_identity_seed&gt;`</span>,
<span class="str">`&lt;source&gt;${source}&lt;/source&gt;`</span>,
<span class="str">``</span>,
content.trim(),
<span class="str">`&lt;/ai_identity_seed&gt;`</span>,
].join(<span class="str">"\n"</span>);
<span class="kw">await</span> agentPeer.addMessage(<span class="str">"assistant"</span>, wrapped);
<span class="kw">return true</span>;
}</code></pre>
<h3>Part C: migrate agent files at setup</h3>
<p>During <code>openclaw honcho setup</code>, upload agent-self files (SOUL.md, IDENTITY.md, AGENTS.md, BOOTSTRAP.md) to the agent peer using <code>seedAiIdentity()</code> instead of <code>session.uploadFile()</code>. This routes the content through Honcho's observation pipeline rather than the file store.</p>
<h3>Part D: AI peer name in identity</h3>
<p>When the agent has a configured name (non-default), inject it into the agent's self-identity prefix. In OpenClaw this means adding to the injected system prompt section:</p>
<pre><code><span class="cm">// In context hook return value</span>
<span class="kw">return</span> {
systemPrompt: [
agentName ? <span class="str">`You are ${agentName}.`</span> : <span class="str">""</span>,
<span class="str">"## User Memory Context"</span>,
...sections,
].filter(Boolean).join(<span class="str">"\n\n"</span>)
};</code></pre>
<h3>CLI surface: honcho identity subcommand</h3>
<pre><code>openclaw honcho identity &lt;file&gt; <span class="cm"># seed from file</span>
openclaw honcho identity --show <span class="cm"># show current AI peer representation</span></code></pre>
</section>
<!-- SPEC: SESSION NAMING -->
<section id="spec-sessions">
<h2>Spec: session naming strategies</h2>
<h3>Problem</h3>
<p>When Honcho is used across multiple projects or directories, a single global session means every project shares the same context. Per-directory sessions provide isolation without requiring users to name sessions manually.</p>
<h3>Strategies</h3>
<div class="table-wrap">
<table>
<thead><tr><th>Strategy</th><th>Session key</th><th>When to use</th></tr></thead>
<tbody>
<tr><td><code>per-directory</code></td><td>basename of CWD</td><td>Default. Each project gets its own session.</td></tr>
<tr><td><code>global</code></td><td>fixed string <code>"global"</code></td><td>Single cross-project session.</td></tr>
<tr><td>manual map</td><td>user-configured per path</td><td><code>sessions</code> config map overrides directory basename.</td></tr>
<tr><td>title-based</td><td>sanitized session title</td><td>When agent supports named sessions; title set mid-conversation.</td></tr>
</tbody>
</table>
</div>
<h3>Config schema</h3>
<pre><code>{
<span class="str">"sessionStrategy"</span>: <span class="str">"per-directory"</span>, <span class="cm">// "per-directory" | "global"</span>
<span class="str">"sessionPeerPrefix"</span>: <span class="kw">false</span>, <span class="cm">// prepend peer name to session key</span>
<span class="str">"sessions"</span>: { <span class="cm">// manual overrides</span>
<span class="str">"/home/user/projects/foo"</span>: <span class="str">"foo-project"</span>
}
}</code></pre>
<h3>CLI surface</h3>
<pre><code>openclaw honcho sessions <span class="cm"># list all mappings</span>
openclaw honcho map &lt;name&gt; <span class="cm"># map cwd to session name</span>
openclaw honcho map <span class="cm"># no-arg = list mappings</span></code></pre>
<p>Resolution order: manual map wins &rarr; session title &rarr; directory basename &rarr; platform key.</p>
</section>
<!-- SPEC: CLI SURFACE INJECTION -->
<section id="spec-cli">
<h2>Spec: CLI surface injection</h2>
<h3>Problem</h3>
<p>When a user asks "how do I change my memory settings?" or "what Honcho commands are available?" the agent either hallucinates or says it doesn't know. The agent should know its own management interface.</p>
<h3>Pattern</h3>
<p>When Honcho is active, append a compact command reference to the system prompt. The agent can cite these commands directly instead of guessing.</p>
<pre><code><span class="cm">// In context hook, append to systemPrompt</span>
<span class="kw">const</span> honchoSection = [
<span class="str">"# Honcho memory integration"</span>,
<span class="str">`Active. Session: ${sessionKey}. Mode: ${mode}.`</span>,
<span class="str">"Management commands:"</span>,
<span class="str">" openclaw honcho status — show config + connection"</span>,
<span class="str">" openclaw honcho mode [hybrid|honcho|local] — show or set memory mode"</span>,
<span class="str">" openclaw honcho sessions — list session mappings"</span>,
<span class="str">" openclaw honcho map &lt;name&gt; — map directory to session"</span>,
<span class="str">" openclaw honcho identity [file] [--show] — seed or show AI identity"</span>,
<span class="str">" openclaw honcho setup — full interactive wizard"</span>,
].join(<span class="str">"\n"</span>);</code></pre>
<div class="callout warn">
<strong>Keep it compact.</strong> This section is injected every turn. Keep it under 300 chars of context. List commands, not explanations — the agent can explain them on request.
</div>
</section>
<!-- OPENCLAW CHECKLIST -->
<section id="openclaw-checklist">
<h2>openclaw-honcho checklist</h2>
<p>Ordered by impact. Each item maps to a spec section above.</p>
<ul class="checklist">
<li class="todo"><strong>Async prefetch</strong> — move <code>session.context()</code> out of <code>before_prompt_build</code> into post-<code>agent_end</code> background Promise. Pop from cache at prompt build. (<a href="#spec-async">spec</a>)</li>
<li class="todo"><strong>observe_me=True for agent peer</strong> — one-line change in <code>session.addPeers()</code> config for agent peer. (<a href="#spec-identity">spec</a>)</li>
<li class="todo"><strong>Dynamic reasoning level</strong> — add <code>dynamicReasoningLevel()</code> helper; apply in <code>honcho_recall</code> and <code>honcho_analyze</code>. Add <code>dialecticReasoningLevel</code> to config schema. (<a href="#spec-reasoning">spec</a>)</li>
<li class="todo"><strong>Per-peer memory modes</strong> — add <code>userMemoryMode</code> / <code>agentMemoryMode</code> to config; gate Honcho sync and local writes accordingly. (<a href="#spec-modes">spec</a>)</li>
<li class="todo"><strong>seedAiIdentity()</strong> — add helper; apply during setup migration for SOUL.md / IDENTITY.md instead of <code>session.uploadFile()</code>. (<a href="#spec-identity">spec</a>)</li>
<li class="todo"><strong>Session naming strategies</strong> — add <code>sessionStrategy</code>, <code>sessions</code> map, <code>sessionPeerPrefix</code> to config; implement resolution function. (<a href="#spec-sessions">spec</a>)</li>
<li class="todo"><strong>CLI surface injection</strong> — append command reference to <code>before_prompt_build</code> return value when Honcho is active. (<a href="#spec-cli">spec</a>)</li>
<li class="todo"><strong>honcho identity subcommand</strong> — add <code>openclaw honcho identity</code> CLI command. (<a href="#spec-identity">spec</a>)</li>
<li class="todo"><strong>AI peer name injection</strong> — if <code>aiPeer</code> name configured, prepend to injected system prompt. (<a href="#spec-identity">spec</a>)</li>
<li class="todo"><strong>honcho mode / honcho sessions / honcho map</strong> — CLI parity with Hermes. (<a href="#spec-sessions">spec</a>)</li>
</ul>
<div class="callout success">
<strong>Already done in openclaw-honcho (do not re-implement):</strong> lastSavedIndex dedup, platform metadata stripping, multi-agent parent observer hierarchy, peerPerspective on context(), tiered tool surface (fast/LLM), workspace agentPeerMap, QMD passthrough, self-hosted Honcho support.
</div>
</section>
<!-- NANOBOT CHECKLIST -->
<section id="nanobot-checklist">
<h2>nanobot-honcho checklist</h2>
<p>nanobot-honcho is a greenfield integration. Start from openclaw-honcho's architecture (hook-based, dual peer) and apply all Hermes patterns from day one rather than retrofitting. Priority order:</p>
<h3>Phase 1 — core correctness</h3>
<ul class="checklist">
<li class="todo">Dual peer model (owner + agent peer), both with <code>observe_me=True</code></li>
<li class="todo">Message capture at turn end with <code>lastSavedIndex</code> dedup</li>
<li class="todo">Platform metadata stripping before Honcho storage</li>
<li class="todo">Async prefetch from day one — do not implement blocking context injection</li>
<li class="todo">Legacy file migration at first activation (USER.md → owner peer, SOUL.md → <code>seedAiIdentity()</code>)</li>
</ul>
<h3>Phase 2 — configuration</h3>
<ul class="checklist">
<li class="todo">Config schema: <code>apiKey</code>, <code>workspaceId</code>, <code>baseUrl</code>, <code>memoryMode</code>, <code>userMemoryMode</code>, <code>agentMemoryMode</code>, <code>dialecticReasoningLevel</code>, <code>sessionStrategy</code>, <code>sessions</code></li>
<li class="todo">Per-peer memory mode gating</li>
<li class="todo">Dynamic reasoning level</li>
<li class="todo">Session naming strategies</li>
</ul>
<h3>Phase 3 — tools and CLI</h3>
<ul class="checklist">
<li class="todo">Tool surface: <code>honcho_profile</code>, <code>honcho_recall</code>, <code>honcho_analyze</code>, <code>honcho_search</code>, <code>honcho_context</code></li>
<li class="todo">CLI: <code>setup</code>, <code>status</code>, <code>sessions</code>, <code>map</code>, <code>mode</code>, <code>identity</code></li>
<li class="todo">CLI surface injection into system prompt</li>
<li class="todo">AI peer name wired into agent identity</li>
</ul>
</section>
</div>
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# honcho-integration-spec
Comparison of Hermes Agent vs. openclaw-honcho — and a porting spec for bringing Hermes patterns into other Honcho integrations.
---
## Overview
Two independent Honcho integrations have been built for two different agent runtimes: **Hermes Agent** (Python, baked into the runner) and **openclaw-honcho** (TypeScript plugin via hook/tool API). Both use the same Honcho peer paradigm — dual peer model, `session.context()`, `peer.chat()` — but they made different tradeoffs at every layer.
This document maps those tradeoffs and defines a porting spec: a set of Hermes-originated patterns, each stated as an integration-agnostic interface, that any Honcho integration can adopt regardless of runtime or language.
> **Scope** Both integrations work correctly today. This spec is about the delta — patterns in Hermes that are worth propagating and patterns in openclaw-honcho that Hermes should eventually adopt. The spec is additive, not prescriptive.
---
## Architecture comparison
### Hermes: baked-in runner
Honcho is initialised directly inside `AIAgent.__init__`. There is no plugin boundary. Session management, context injection, async prefetch, and CLI surface are all first-class concerns of the runner. Context is injected once per session (baked into `_cached_system_prompt`) and never re-fetched mid-session — this maximises prefix cache hits at the LLM provider.
Turn flow:
```
user message
→ _honcho_prefetch() (reads cache — no HTTP)
→ _build_system_prompt() (first turn only, cached)
→ LLM call
→ response
→ _honcho_fire_prefetch() (daemon threads, turn end)
→ prefetch_context() thread ──┐
→ prefetch_dialectic() thread ─┴→ _context_cache / _dialectic_cache
```
### openclaw-honcho: hook-based plugin
The plugin registers hooks against OpenClaw's event bus. Context is fetched synchronously inside `before_prompt_build` on every turn. Message capture happens in `agent_end`. The multi-agent hierarchy is tracked via `subagent_spawned`. This model is correct but every turn pays a blocking Honcho round-trip before the LLM call can begin.
Turn flow:
```
user message
→ before_prompt_build (BLOCKING HTTP — every turn)
→ session.context()
→ system prompt assembled
→ LLM call
→ response
→ agent_end hook
→ session.addMessages()
→ session.setMetadata()
```
---
## Diff table
| Dimension | Hermes Agent | openclaw-honcho |
|---|---|---|
| **Context injection timing** | Once per session (cached). Zero HTTP on response path after turn 1. | Every turn, blocking. Fresh context per turn but adds latency. |
| **Prefetch strategy** | Daemon threads fire at turn end; consumed next turn from cache. | None. Blocking call at prompt-build time. |
| **Dialectic (peer.chat)** | Prefetched async; result injected into system prompt next turn. | On-demand via `honcho_recall` / `honcho_analyze` tools. |
| **Reasoning level** | Dynamic: scales with message length. Floor = config default. Cap = "high". | Fixed per tool: recall=minimal, analyze=medium. |
| **Memory modes** | `user_memory_mode` / `agent_memory_mode`: hybrid / honcho / local. | None. Always writes to Honcho. |
| **Write frequency** | async (background queue), turn, session, N turns. | After every agent_end (no control). |
| **AI peer identity** | `observe_me=True`, `seed_ai_identity()`, `get_ai_representation()`, SOUL.md → AI peer. | Agent files uploaded to agent peer at setup. No ongoing self-observation. |
| **Context scope** | User peer + AI peer representation, both injected. | User peer (owner) representation + conversation summary. `peerPerspective` on context call. |
| **Session naming** | per-directory / global / manual map / title-based. | Derived from platform session key. |
| **Multi-agent** | Single-agent only. | Parent observer hierarchy via `subagent_spawned`. |
| **Tool surface** | Single `query_user_context` tool (on-demand dialectic). | 6 tools: session, profile, search, context (fast) + recall, analyze (LLM). |
| **Platform metadata** | Not stripped. | Explicitly stripped before Honcho storage. |
| **Message dedup** | None. | `lastSavedIndex` in session metadata prevents re-sending. |
| **CLI surface in prompt** | Management commands injected into system prompt. Agent knows its own CLI. | Not injected. |
| **AI peer name in identity** | Replaces "Hermes Agent" in DEFAULT_AGENT_IDENTITY when configured. | Not implemented. |
| **QMD / local file search** | Not implemented. | Passthrough tools when QMD backend configured. |
| **Workspace metadata** | Not implemented. | `agentPeerMap` in workspace metadata tracks agent→peer ID. |
---
## Patterns
Six patterns from Hermes are worth adopting in any Honcho integration. Each is described as an integration-agnostic interface.
**Hermes contributes:**
- Async prefetch (zero-latency)
- Dynamic reasoning level
- Per-peer memory modes
- AI peer identity formation
- Session naming strategies
- CLI surface injection
**openclaw-honcho contributes back (Hermes should adopt):**
- `lastSavedIndex` dedup
- Platform metadata stripping
- Multi-agent observer hierarchy
- `peerPerspective` on `context()`
- Tiered tool surface (fast/LLM)
- Workspace `agentPeerMap`
---
## Spec: async prefetch
### Problem
Calling `session.context()` and `peer.chat()` synchronously before each LLM call adds 200800ms of Honcho round-trip latency to every turn.
### Pattern
Fire both calls as non-blocking background work at the **end** of each turn. Store results in a per-session cache keyed by session ID. At the **start** of the next turn, pop from cache — the HTTP is already done. First turn is cold (empty cache); all subsequent turns are zero-latency on the response path.
### Interface contract
```typescript
interface AsyncPrefetch {
// Fire context + dialectic fetches at turn end. Non-blocking.
firePrefetch(sessionId: string, userMessage: string): void;
// Pop cached results at turn start. Returns empty if cache is cold.
popContextResult(sessionId: string): ContextResult | null;
popDialecticResult(sessionId: string): string | null;
}
type ContextResult = {
representation: string;
card: string[];
aiRepresentation?: string; // AI peer context if enabled
summary?: string; // conversation summary if fetched
};
```
### Implementation notes
- **Python:** `threading.Thread(daemon=True)`. Write to `dict[session_id, result]` — GIL makes this safe for simple writes.
- **TypeScript:** `Promise` stored in `Map<string, Promise<ContextResult>>`. Await at pop time. If not resolved yet, return null — do not block.
- The pop is destructive: clears the cache entry after reading so stale data never accumulates.
- Prefetch should also fire on first turn (even though it won't be consumed until turn 2).
### openclaw-honcho adoption
Move `session.context()` from `before_prompt_build` to a post-`agent_end` background task. Store result in `state.contextCache`. In `before_prompt_build`, read from cache instead of calling Honcho. If cache is empty (turn 1), inject nothing — the prompt is still valid without Honcho context on the first turn.
---
## Spec: dynamic reasoning level
### Problem
Honcho's dialectic endpoint supports reasoning levels from `minimal` to `max`. A fixed level per tool wastes budget on simple queries and under-serves complex ones.
### Pattern
Select the reasoning level dynamically based on the user's message. Use the configured default as a floor. Bump by message length. Cap auto-selection at `high` — never select `max` automatically.
### Logic
```
< 120 chars → default (typically "low")
120400 chars → one level above default (cap at "high")
> 400 chars → two levels above default (cap at "high")
```
### Config key
Add `dialecticReasoningLevel` (string, default `"low"`). This sets the floor. The dynamic bump always applies on top.
### openclaw-honcho adoption
Apply in `honcho_recall` and `honcho_analyze`: replace fixed `reasoningLevel` with the dynamic selector. `honcho_recall` uses floor `"minimal"`, `honcho_analyze` uses floor `"medium"` — both still bump with message length.
---
## Spec: per-peer memory modes
### Problem
Users want independent control over whether user context and agent context are written locally, to Honcho, or both.
### Modes
| Mode | Effect |
|---|---|
| `hybrid` | Write to both local files and Honcho (default) |
| `honcho` | Honcho only — disable corresponding local file writes |
| `local` | Local files only — skip Honcho sync for this peer |
### Config schema
```json
{
"memoryMode": "hybrid",
"userMemoryMode": "honcho",
"agentMemoryMode": "hybrid"
}
```
Resolution order: per-peer field wins → shorthand `memoryMode` → default `"hybrid"`.
### Effect on Honcho sync
- `userMemoryMode=local`: skip adding user peer messages to Honcho
- `agentMemoryMode=local`: skip adding assistant peer messages to Honcho
- Both local: skip `session.addMessages()` entirely
- `userMemoryMode=honcho`: disable local USER.md writes
- `agentMemoryMode=honcho`: disable local MEMORY.md / SOUL.md writes
---
## Spec: AI peer identity formation
### Problem
Honcho builds the user's representation organically by observing what the user says. The same mechanism exists for the AI peer — but only if `observe_me=True` is set for the agent peer. Without it, the agent peer accumulates nothing.
Additionally, existing persona files (SOUL.md, IDENTITY.md) should seed the AI peer's Honcho representation at first activation.
### Part A: observe_me=True for agent peer
```typescript
await session.addPeers([
[ownerPeer.id, { observeMe: true, observeOthers: false }],
[agentPeer.id, { observeMe: true, observeOthers: true }], // was false
]);
```
One-line change. Foundational. Without it, the AI peer representation stays empty regardless of what the agent says.
### Part B: seedAiIdentity()
```typescript
async function seedAiIdentity(
agentPeer: Peer,
content: string,
source: string
): Promise<boolean> {
const wrapped = [
`<ai_identity_seed>`,
`<source>${source}</source>`,
``,
content.trim(),
`</ai_identity_seed>`,
].join("\n");
await agentPeer.addMessage("assistant", wrapped);
return true;
}
```
### Part C: migrate agent files at setup
During `honcho setup`, upload agent-self files (SOUL.md, IDENTITY.md, AGENTS.md) to the agent peer via `seedAiIdentity()` instead of `session.uploadFile()`. This routes content through Honcho's observation pipeline.
### Part D: AI peer name in identity
When the agent has a configured name, prepend it to the injected system prompt:
```typescript
const namePrefix = agentName ? `You are ${agentName}.\n\n` : "";
return { systemPrompt: namePrefix + "## User Memory Context\n\n" + sections };
```
### CLI surface
```
honcho identity <file> # seed from file
honcho identity --show # show current AI peer representation
```
---
## Spec: session naming strategies
### Problem
A single global session means every project shares the same Honcho context. Per-directory sessions provide isolation without requiring users to name sessions manually.
### Strategies
| Strategy | Session key | When to use |
|---|---|---|
| `per-directory` | basename of CWD | Default. Each project gets its own session. |
| `global` | fixed string `"global"` | Single cross-project session. |
| manual map | user-configured per path | `sessions` config map overrides directory basename. |
| title-based | sanitized session title | When agent supports named sessions set mid-conversation. |
### Config schema
```json
{
"sessionStrategy": "per-directory",
"sessionPeerPrefix": false,
"sessions": {
"/home/user/projects/foo": "foo-project"
}
}
```
### CLI surface
```
honcho sessions # list all mappings
honcho map <name> # map cwd to session name
honcho map # no-arg = list mappings
```
Resolution order: manual map → session title → directory basename → platform key.
---
## Spec: CLI surface injection
### Problem
When a user asks "how do I change my memory settings?" the agent either hallucinates or says it doesn't know. The agent should know its own management interface.
### Pattern
When Honcho is active, append a compact command reference to the system prompt. Keep it under 300 chars.
```
# Honcho memory integration
Active. Session: {sessionKey}. Mode: {mode}.
Management commands:
honcho status — show config + connection
honcho mode [hybrid|honcho|local] — show or set memory mode
honcho sessions — list session mappings
honcho map <name> — map directory to session
honcho identity [file] [--show] — seed or show AI identity
honcho setup — full interactive wizard
```
---
## openclaw-honcho checklist
Ordered by impact:
- [ ] **Async prefetch** — move `session.context()` out of `before_prompt_build` into post-`agent_end` background Promise
- [ ] **observe_me=True for agent peer** — one-line change in `session.addPeers()`
- [ ] **Dynamic reasoning level** — add helper; apply in `honcho_recall` and `honcho_analyze`; add `dialecticReasoningLevel` to config
- [ ] **Per-peer memory modes** — add `userMemoryMode` / `agentMemoryMode` to config; gate Honcho sync and local writes
- [ ] **seedAiIdentity()** — add helper; use during setup migration for SOUL.md / IDENTITY.md
- [ ] **Session naming strategies** — add `sessionStrategy`, `sessions` map, `sessionPeerPrefix`
- [ ] **CLI surface injection** — append command reference to `before_prompt_build` return value
- [ ] **honcho identity subcommand** — seed from file or `--show` current representation
- [ ] **AI peer name injection** — if `aiPeer` name configured, prepend to injected system prompt
- [ ] **honcho mode / sessions / map** — CLI parity with Hermes
Already done in openclaw-honcho (do not re-implement): `lastSavedIndex` dedup, platform metadata stripping, multi-agent parent observer, `peerPerspective` on `context()`, tiered tool surface, workspace `agentPeerMap`, QMD passthrough, self-hosted Honcho.
---
## nanobot-honcho checklist
Greenfield integration. Start from openclaw-honcho's architecture and apply all Hermes patterns from day one.
### Phase 1 — core correctness
- [ ] Dual peer model (owner + agent peer), both with `observe_me=True`
- [ ] Message capture at turn end with `lastSavedIndex` dedup
- [ ] Platform metadata stripping before Honcho storage
- [ ] Async prefetch from day one — do not implement blocking context injection
- [ ] Legacy file migration at first activation (USER.md → owner peer, SOUL.md → `seedAiIdentity()`)
### Phase 2 — configuration
- [ ] Config schema: `apiKey`, `workspaceId`, `baseUrl`, `memoryMode`, `userMemoryMode`, `agentMemoryMode`, `dialecticReasoningLevel`, `sessionStrategy`, `sessions`
- [ ] Per-peer memory mode gating
- [ ] Dynamic reasoning level
- [ ] Session naming strategies
### Phase 3 — tools and CLI
- [ ] Tool surface: `honcho_profile`, `honcho_recall`, `honcho_analyze`, `honcho_search`, `honcho_context`
- [ ] CLI: `setup`, `status`, `sessions`, `map`, `mode`, `identity`
- [ ] CLI surface injection into system prompt
- [ ] AI peer name wired into agent identity

110
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# Migrating from OpenClaw to Hermes Agent
This guide covers how to import your OpenClaw settings, memories, skills, and API keys into Hermes Agent.
## Three Ways to Migrate
### 1. Automatic (during first-time setup)
When you run `hermes setup` for the first time and Hermes detects `~/.openclaw`, it automatically offers to import your OpenClaw data before configuration begins. Just accept the prompt and everything is handled for you.
### 2. CLI Command (quick, scriptable)
```bash
hermes claw migrate # Full migration with confirmation prompt
hermes claw migrate --dry-run # Preview what would happen
hermes claw migrate --preset user-data # Migrate without API keys/secrets
hermes claw migrate --yes # Skip confirmation prompt
```
**All options:**
| Flag | Description |
|------|-------------|
| `--source PATH` | Path to OpenClaw directory (default: `~/.openclaw`) |
| `--dry-run` | Preview only — no files are modified |
| `--preset {user-data,full}` | Migration preset (default: `full`). `user-data` excludes secrets |
| `--overwrite` | Overwrite existing files (default: skip conflicts) |
| `--migrate-secrets` | Include allowlisted secrets (auto-enabled with `full` preset) |
| `--workspace-target PATH` | Copy workspace instructions (AGENTS.md) to this absolute path |
| `--skill-conflict {skip,overwrite,rename}` | How to handle skill name conflicts (default: `skip`) |
| `--yes`, `-y` | Skip confirmation prompts |
### 3. Agent-Guided (interactive, with previews)
Ask the agent to run the migration for you:
```
> Migrate my OpenClaw setup to Hermes
```
The agent will use the `openclaw-migration` skill to:
1. Run a dry-run first to preview changes
2. Ask about conflict resolution (SOUL.md, skills, etc.)
3. Let you choose between `user-data` and `full` presets
4. Execute the migration with your choices
5. Print a detailed summary of what was migrated
## What Gets Migrated
### `user-data` preset
| Item | Source | Destination |
|------|--------|-------------|
| SOUL.md | `~/.openclaw/workspace/SOUL.md` | `~/.hermes/SOUL.md` |
| Memory entries | `~/.openclaw/workspace/MEMORY.md` | `~/.hermes/memories/MEMORY.md` |
| User profile | `~/.openclaw/workspace/USER.md` | `~/.hermes/memories/USER.md` |
| Skills | `~/.openclaw/workspace/skills/` | `~/.hermes/skills/openclaw-imports/` |
| Command allowlist | `~/.openclaw/workspace/exec_approval_patterns.yaml` | Merged into `~/.hermes/config.yaml` |
| Messaging settings | `~/.openclaw/config.yaml` (TELEGRAM_ALLOWED_USERS, MESSAGING_CWD) | `~/.hermes/.env` |
| TTS assets | `~/.openclaw/workspace/tts/` | `~/.hermes/tts/` |
### `full` preset (adds to `user-data`)
| Item | Source | Destination |
|------|--------|-------------|
| Telegram bot token | `~/.openclaw/config.yaml` | `~/.hermes/.env` |
| OpenRouter API key | `~/.openclaw/.env` or config | `~/.hermes/.env` |
| OpenAI API key | `~/.openclaw/.env` or config | `~/.hermes/.env` |
| Anthropic API key | `~/.openclaw/.env` or config | `~/.hermes/.env` |
| ElevenLabs API key | `~/.openclaw/.env` or config | `~/.hermes/.env` |
Only these 6 allowlisted secrets are ever imported. Other credentials are skipped and reported.
## Conflict Handling
By default, the migration **will not overwrite** existing Hermes data:
- **SOUL.md** — skipped if one already exists in `~/.hermes/`
- **Memory entries** — skipped if memories already exist (to avoid duplicates)
- **Skills** — skipped if a skill with the same name already exists
- **API keys** — skipped if the key is already set in `~/.hermes/.env`
To overwrite conflicts, use `--overwrite`. The migration creates backups before overwriting.
For skills, you can also use `--skill-conflict rename` to import conflicting skills under a new name (e.g., `skill-name-imported`).
## Migration Report
Every migration (including dry runs) produces a report showing:
- **Migrated items** — what was successfully imported
- **Conflicts** — items skipped because they already exist
- **Skipped items** — items not found in the source
- **Errors** — items that failed to import
For execute runs, the full report is saved to `~/.hermes/migration/openclaw/<timestamp>/`.
## Troubleshooting
### "OpenClaw directory not found"
The migration looks for `~/.openclaw` by default. If your OpenClaw is installed elsewhere, use `--source`:
```bash
hermes claw migrate --source /path/to/.openclaw
```
### "Migration script not found"
The migration script ships with Hermes Agent. If you installed via pip (not git clone), the `optional-skills/` directory may not be present. Install the skill from the Skills Hub:
```bash
hermes skills install openclaw-migration
```
### Memory overflow
If your OpenClaw MEMORY.md or USER.md exceeds Hermes' character limits, excess entries are exported to an overflow file in the migration report directory. You can manually review and add the most important ones.

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

View File

@@ -0,0 +1,89 @@
# ============================================================================
# Hermes Agent — Example Skin Template
# ============================================================================
#
# Copy this file to ~/.hermes/skins/<name>.yaml to create a custom skin.
# All fields are optional — missing values inherit from the default skin.
# Activate with: /skin <name> or display.skin: <name> in config.yaml
#
# See hermes_cli/skin_engine.py for the full schema reference.
# ============================================================================
# Required: unique skin name (used in /skin command and config)
name: example
description: An example custom skin — copy and modify this template
# ── Colors ──────────────────────────────────────────────────────────────────
# Hex color values for Rich markup. These control the CLI's visual palette.
colors:
# Banner panel (the startup welcome box)
banner_border: "#CD7F32" # Panel border
banner_title: "#FFD700" # Panel title text
banner_accent: "#FFBF00" # Section headers (Available Tools, Skills, etc.)
banner_dim: "#B8860B" # Dim/muted text (separators, model info)
banner_text: "#FFF8DC" # Body text (tool names, skill names)
# UI elements
ui_accent: "#FFBF00" # General accent color
ui_label: "#4dd0e1" # Labels
ui_ok: "#4caf50" # Success indicators
ui_error: "#ef5350" # Error indicators
ui_warn: "#ffa726" # Warning indicators
# Input area
prompt: "#FFF8DC" # Prompt text color
input_rule: "#CD7F32" # Horizontal rule around input
# Response box
response_border: "#FFD700" # Response box border (ANSI color)
# Session display
session_label: "#DAA520" # Session label
session_border: "#8B8682" # Session ID dim color
# ── Spinner ─────────────────────────────────────────────────────────────────
# Customize the animated spinner shown during API calls and tool execution.
spinner:
# Faces shown while waiting for the API response
waiting_faces:
- "(。◕‿◕。)"
- "(◕‿◕✿)"
- "٩(◕‿◕。)۶"
# Faces shown during extended thinking/reasoning
thinking_faces:
- "(。•́︿•̀。)"
- "(◔_◔)"
- "(¬‿¬)"
# Verbs used in spinner messages (e.g., "pondering your request...")
thinking_verbs:
- "pondering"
- "contemplating"
- "musing"
- "ruminating"
# Optional: left/right decorations around the spinner
# Each entry is a [left, right] pair. Omit entirely for no wings.
# wings:
# - ["⟪⚔", "⚔⟫"]
# - ["⟪▲", "▲⟫"]
# ── Branding ────────────────────────────────────────────────────────────────
# Text strings used throughout the CLI interface.
branding:
agent_name: "Hermes Agent" # Banner title, about display
welcome: "Welcome! Type your message or /help for commands."
goodbye: "Goodbye! ⚕" # Exit message
response_label: " ⚕ Hermes " # Response box header label
prompt_symbol: " " # Input prompt symbol
help_header: "(^_^)? Available Commands" # /help header text
# ── Tool Output ─────────────────────────────────────────────────────────────
# Character used as the prefix for tool output lines.
# Default is "┊" (thin dotted vertical line). Some alternatives:
# "╎" (light triple dash vertical)
# "▏" (left one-eighth block)
# "│" (box drawing light vertical)
# "┃" (box drawing heavy vertical)
tool_prefix: "┊"

View File

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

View File

@@ -18,14 +18,9 @@ import logging
import os
import uuid
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Set, TYPE_CHECKING
from typing import Any, Dict, List, Optional, Set
if TYPE_CHECKING:
from hermes_agent.tools.budget_config import BudgetConfig
from hermes_agent.tools.dispatch import handle_function_call
from hermes_agent.tools.terminal import get_active_env
from hermes_agent.tools.result_storage import maybe_persist_tool_result, enforce_turn_budget
from model_tools import handle_function_call
# Thread pool for running sync tool calls that internally use asyncio.run()
# (e.g., the Modal/Docker/Daytona terminal backends). Running them in a separate
@@ -143,7 +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.
@@ -160,11 +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 hermes_agent.tools.budget_config import DEFAULT_BUDGET
self.server = server
self.tool_schemas = tool_schemas
self.valid_tool_names = valid_tool_names
@@ -173,7 +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:
"""
@@ -190,7 +179,7 @@ class HermesAgentLoop:
tool_errors: List[ToolError] = []
# Per-loop TodoStore for the todo tool (ephemeral, dies with the loop)
from hermes_agent.tools.todo import TodoStore, todo_tool as _todo_tool
from tools.todo_tool import TodoStore, todo_tool as _todo_tool
_todo_store = TodoStore()
# Extract user task from first user message for browser_snapshot context
@@ -457,15 +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",
@@ -474,14 +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",

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)

View File

@@ -44,7 +44,7 @@ import tempfile
import time
import uuid
from collections import defaultdict
from pathlib import Path, PurePosixPath, PureWindowsPath
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union
# Ensure repo root is on sys.path for imports
@@ -60,7 +60,7 @@ from atroposlib.envs.server_handling.server_manager import APIServerConfig
from environments.agent_loop import AgentResult, HermesAgentLoop
from environments.hermes_base_env import HermesAgentBaseEnv, HermesAgentEnvConfig
from environments.tool_context import ToolContext
from hermes_agent.tools.terminal import (
from tools.terminal_tool import (
register_task_env_overrides,
clear_task_env_overrides,
cleanup_vm,
@@ -148,62 +148,6 @@ MODAL_INCOMPATIBLE_TASKS = {
# Tar extraction helper
# =============================================================================
def _normalize_tar_member_parts(member_name: str) -> list:
"""Return safe path components for a tar member or raise ValueError."""
normalized_name = member_name.replace("\\", "/")
posix_path = PurePosixPath(normalized_name)
windows_path = PureWindowsPath(member_name)
if (
not normalized_name
or posix_path.is_absolute()
or windows_path.is_absolute()
or windows_path.drive
):
raise ValueError(f"Unsafe archive member path: {member_name}")
parts = [part for part in posix_path.parts if part not in ("", ".")]
if not parts or any(part == ".." for part in parts):
raise ValueError(f"Unsafe archive member path: {member_name}")
return parts
def _safe_extract_tar(tar: tarfile.TarFile, target_dir: Path) -> None:
"""Extract a tar archive without allowing traversal or link entries."""
target_dir.mkdir(parents=True, exist_ok=True)
target_root = target_dir.resolve()
for member in tar.getmembers():
parts = _normalize_tar_member_parts(member.name)
target = target_dir.joinpath(*parts)
target_real = target.resolve(strict=False)
try:
target_real.relative_to(target_root)
except ValueError as exc:
raise ValueError(f"Unsafe archive member path: {member.name}") from exc
if member.isdir():
target_real.mkdir(parents=True, exist_ok=True)
continue
if not member.isfile():
raise ValueError(f"Unsupported archive member type: {member.name}")
target_real.parent.mkdir(parents=True, exist_ok=True)
extracted = tar.extractfile(member)
if extracted is None:
raise ValueError(f"Cannot read archive member: {member.name}")
with extracted, open(target_real, "wb") as dst:
shutil.copyfileobj(extracted, dst)
try:
os.chmod(target_real, member.mode & 0o777)
except OSError:
pass
def _extract_base64_tar(b64_data: str, target_dir: Path):
"""Extract a base64-encoded tar.gz archive into target_dir."""
if not b64_data:
@@ -211,7 +155,7 @@ def _extract_base64_tar(b64_data: str, target_dir: Path):
raw = base64.b64decode(b64_data)
buf = io.BytesIO(raw)
with tarfile.open(fileobj=buf, mode="r:gz") as tar:
_safe_extract_tar(tar, target_dir)
tar.extractall(path=str(target_dir))
# =============================================================================
@@ -265,7 +209,7 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
# Agent settings -- TB2 tasks are complex, need many turns
max_agent_turns=60,
max_token_length=16000,
max_token_length=***
agent_temperature=0.6,
system_prompt=None,
@@ -289,7 +233,7 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
steps_per_eval=1,
total_steps=1,
tokenizer_name="NousResearch/Hermes-3-Llama-3.1-8B",
tokenizer_name="NousRe...1-8B",
use_wandb=True,
wandb_name="terminal-bench-2",
ensure_scores_are_not_same=False, # Binary rewards may all be 0 or 1
@@ -301,7 +245,7 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
base_url="https://openrouter.ai/api/v1",
model_name="anthropic/claude-sonnet-4",
server_type="openai",
api_key=os.getenv("OPENROUTER_API_KEY", ""),
api_key=os.get...EY", ""),
health_check=False,
)
]
@@ -541,7 +485,6 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
temperature=self.config.agent_temperature,
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
else:
@@ -554,7 +497,6 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
temperature=self.config.agent_temperature,
max_tokens=self.config.max_token_length,
extra_body=self.config.extra_body,
budget_config=self.config.build_budget_config(),
)
result = await agent.run(messages)
@@ -571,446 +513,3 @@ class TerminalBench2EvalEnv(HermesAgentBaseEnv):
reward = 0.0
else:
# Run tests in a thread so the blocking ctx.terminal() calls
# don't freeze the entire event loop (which would stall all
# other tasks, tqdm updates, and timeout timers).
ctx = ToolContext(task_id)
try:
loop = asyncio.get_event_loop()
reward = await loop.run_in_executor(
None, # default thread pool
self._run_tests, eval_item, ctx, task_name,
)
except Exception as e:
logger.error("Task %s: test verification failed: %s", task_name, e)
reward = 0.0
finally:
ctx.cleanup()
passed = reward == 1.0
status = "PASS" if passed else "FAIL"
elapsed = time.time() - task_start
tqdm.write(f" [{status}] {task_name} (turns={result.turns_used}, {elapsed:.0f}s)")
logger.info(
"Task %s: reward=%.1f, turns=%d, finished=%s",
task_name, reward, result.turns_used, result.finished_naturally,
)
out = {
"passed": passed,
"reward": reward,
"task_name": task_name,
"category": category,
"turns_used": result.turns_used,
"finished_naturally": result.finished_naturally,
"messages": result.messages,
}
self._save_result(out)
return out
except Exception as e:
elapsed = time.time() - task_start
logger.error("Task %s: rollout failed: %s", task_name, e, exc_info=True)
tqdm.write(f" [ERROR] {task_name}: {e} ({elapsed:.0f}s)")
out = {
"passed": False, "reward": 0.0,
"task_name": task_name, "category": category,
"error": str(e),
}
self._save_result(out)
return out
finally:
# --- Cleanup: clear overrides, sandbox, and temp files ---
clear_task_env_overrides(task_id)
try:
cleanup_vm(task_id)
except Exception as e:
logger.debug("VM cleanup for %s: %s", task_id[:8], e)
if task_dir and task_dir.exists():
shutil.rmtree(task_dir, ignore_errors=True)
def _run_tests(
self, item: Dict[str, Any], ctx: ToolContext, task_name: str
) -> float:
"""
Upload and execute the test suite in the agent's sandbox, then
download the verifier output locally to read the reward.
Follows Harbor's verification pattern:
1. Upload tests/ directory into the sandbox
2. Execute test.sh inside the sandbox
3. Download /logs/verifier/ directory to a local temp dir
4. Read reward.txt locally with native Python I/O
Downloading locally avoids issues with the file_read tool on
the Modal VM and matches how Harbor handles verification.
TB2 test scripts (test.sh) typically:
1. Install pytest via uv/pip
2. Run pytest against the test files in /tests/
3. Write results to /logs/verifier/reward.txt
Args:
item: The TB2 task dict (contains tests_tar, test_sh)
ctx: ToolContext scoped to this task's sandbox
task_name: For logging
Returns:
1.0 if tests pass, 0.0 otherwise
"""
tests_tar = item.get("tests_tar", "")
test_sh = item.get("test_sh", "")
if not test_sh:
logger.warning("Task %s: no test_sh content, reward=0", task_name)
return 0.0
# Create required directories in the sandbox
ctx.terminal("mkdir -p /tests /logs/verifier")
# Upload test files into the sandbox (binary-safe via base64)
if tests_tar:
tests_temp = Path(tempfile.mkdtemp(prefix=f"tb2-tests-{task_name}-"))
try:
_extract_base64_tar(tests_tar, tests_temp)
ctx.upload_dir(str(tests_temp), "/tests")
except Exception as e:
logger.warning("Task %s: failed to upload test files: %s", task_name, e)
finally:
shutil.rmtree(tests_temp, ignore_errors=True)
# Write the test runner script (test.sh)
ctx.write_file("/tests/test.sh", test_sh)
ctx.terminal("chmod +x /tests/test.sh")
# Execute the test suite
logger.info(
"Task %s: running test suite (timeout=%ds)",
task_name, self.config.test_timeout,
)
test_result = ctx.terminal(
"bash /tests/test.sh",
timeout=self.config.test_timeout,
)
exit_code = test_result.get("exit_code", -1)
output = test_result.get("output", "")
# Download the verifier output directory locally, then read reward.txt
# with native Python I/O. This avoids issues with file_read on the
# Modal VM and matches Harbor's verification pattern.
reward = 0.0
local_verifier_dir = Path(tempfile.mkdtemp(prefix=f"tb2-verifier-{task_name}-"))
try:
ctx.download_dir("/logs/verifier", str(local_verifier_dir))
reward_file = local_verifier_dir / "reward.txt"
if reward_file.exists() and reward_file.stat().st_size > 0:
content = reward_file.read_text().strip()
if content == "1":
reward = 1.0
elif content == "0":
reward = 0.0
else:
# Unexpected content -- try parsing as float
try:
reward = float(content)
except (ValueError, TypeError):
logger.warning(
"Task %s: reward.txt content unexpected (%r), "
"falling back to exit_code=%d",
task_name, content, exit_code,
)
reward = 1.0 if exit_code == 0 else 0.0
else:
# reward.txt not written -- fall back to exit code
logger.warning(
"Task %s: reward.txt not found after download, "
"falling back to exit_code=%d",
task_name, exit_code,
)
reward = 1.0 if exit_code == 0 else 0.0
except Exception as e:
logger.warning(
"Task %s: failed to download verifier dir: %s, "
"falling back to exit_code=%d",
task_name, e, exit_code,
)
reward = 1.0 if exit_code == 0 else 0.0
finally:
shutil.rmtree(local_verifier_dir, ignore_errors=True)
# Log test output for debugging failures
if reward == 0.0:
output_preview = output[-500:] if output else "(no output)"
logger.info(
"Task %s: FAIL (exit_code=%d)\n%s",
task_name, exit_code, output_preview,
)
return reward
# =========================================================================
# Evaluate -- main entry point for the eval subcommand
# =========================================================================
async def _eval_with_timeout(self, item: Dict[str, Any]) -> Dict:
"""
Wrap rollout_and_score_eval with a per-task wall-clock timeout.
If the task exceeds task_timeout seconds, it's automatically scored
as FAIL. This prevents any single task from hanging indefinitely.
"""
task_name = item.get("task_name", "unknown")
category = item.get("category", "unknown")
try:
return await asyncio.wait_for(
self.rollout_and_score_eval(item),
timeout=self.config.task_timeout,
)
except asyncio.TimeoutError:
from tqdm import tqdm
elapsed = self.config.task_timeout
tqdm.write(f" [TIMEOUT] {task_name} (exceeded {elapsed}s wall-clock limit)")
logger.error("Task %s: wall-clock timeout after %ds", task_name, elapsed)
out = {
"passed": False, "reward": 0.0,
"task_name": task_name, "category": category,
"error": f"timeout ({elapsed}s)",
}
self._save_result(out)
return out
async def evaluate(self, *args, **kwargs) -> None:
"""
Run Terminal-Bench 2.0 evaluation over all tasks.
This is the main entry point when invoked via:
python environments/terminalbench2_env.py evaluate
Runs all tasks through rollout_and_score_eval() via asyncio.gather()
(same pattern as GPQA and other Atropos eval envs). Each task is
wrapped with a wall-clock timeout so hung tasks auto-fail.
Suppresses noisy Modal/terminal output (HERMES_QUIET) so the tqdm
bar stays visible.
"""
start_time = time.time()
# Route all logging through tqdm.write() so the progress bar stays
# pinned at the bottom while log lines scroll above it.
from tqdm import tqdm
class _TqdmHandler(logging.Handler):
def emit(self, record):
try:
tqdm.write(self.format(record))
except Exception:
self.handleError(record)
handler = _TqdmHandler()
handler.setFormatter(logging.Formatter(
"%(asctime)s [%(name)s] %(levelname)s: %(message)s",
datefmt="%H:%M:%S",
))
root = logging.getLogger()
root.handlers = [handler] # Replace any existing handlers
root.setLevel(logging.INFO)
# Silence noisy third-party loggers that flood the output
logging.getLogger("httpx").setLevel(logging.WARNING) # Every HTTP request
logging.getLogger("openai").setLevel(logging.WARNING) # OpenAI client retries
logging.getLogger("rex-deploy").setLevel(logging.WARNING) # Swerex deployment
logging.getLogger("rex_image_builder").setLevel(logging.WARNING) # Image builds
print(f"\n{'='*60}")
print("Starting Terminal-Bench 2.0 Evaluation")
print(f"{'='*60}")
print(f" Dataset: {self.config.dataset_name}")
print(f" Total tasks: {len(self.all_eval_items)}")
print(f" Max agent turns: {self.config.max_agent_turns}")
print(f" Task timeout: {self.config.task_timeout}s")
print(f" Terminal backend: {self.config.terminal_backend}")
print(f" Tool thread pool: {self.config.tool_pool_size}")
print(f" Terminal timeout: {self.config.terminal_timeout}s/cmd")
print(f" Terminal lifetime: {self.config.terminal_lifetime}s (auto: task_timeout + 120)")
print(f" Max concurrent tasks: {self.config.max_concurrent_tasks}")
print(f"{'='*60}\n")
# Semaphore to limit concurrent Modal sandbox creations.
# Without this, all 86 tasks fire simultaneously, each creating a Modal
# sandbox via asyncio.run() inside a thread pool worker. Modal's blocking
# calls (App.lookup, etc.) deadlock when too many are created at once.
semaphore = asyncio.Semaphore(self.config.max_concurrent_tasks)
async def _eval_with_semaphore(item):
async with semaphore:
return await self._eval_with_timeout(item)
# Fire all tasks with wall-clock timeout, track live accuracy on the bar
total_tasks = len(self.all_eval_items)
eval_tasks = [
asyncio.ensure_future(_eval_with_semaphore(item))
for item in self.all_eval_items
]
results = []
passed_count = 0
pbar = tqdm(total=total_tasks, desc="Evaluating TB2", dynamic_ncols=True)
try:
for coro in asyncio.as_completed(eval_tasks):
result = await coro
results.append(result)
if result and result.get("passed"):
passed_count += 1
done = len(results)
pct = (passed_count / done * 100) if done else 0
pbar.set_postfix_str(f"pass={passed_count}/{done} ({pct:.1f}%)")
pbar.update(1)
except (KeyboardInterrupt, asyncio.CancelledError):
pbar.close()
print(f"\n\nInterrupted! Cleaning up {len(eval_tasks)} tasks...")
# Cancel all pending tasks
for task in eval_tasks:
task.cancel()
# Let cancellations propagate (finally blocks run cleanup_vm)
await asyncio.gather(*eval_tasks, return_exceptions=True)
# Belt-and-suspenders: clean up any remaining sandboxes
from hermes_agent.tools.terminal import cleanup_all_environments
cleanup_all_environments()
print("All sandboxes cleaned up.")
return
finally:
pbar.close()
end_time = time.time()
# Filter out None results (shouldn't happen, but be safe)
valid_results = [r for r in results if r is not None]
if not valid_results:
print("Warning: No valid evaluation results obtained")
return
# ---- Compute metrics ----
total = len(valid_results)
passed = sum(1 for r in valid_results if r.get("passed"))
overall_pass_rate = passed / total if total > 0 else 0.0
# Per-category breakdown
cat_results: Dict[str, List[Dict]] = defaultdict(list)
for r in valid_results:
cat_results[r.get("category", "unknown")].append(r)
# Build metrics dict
eval_metrics = {
"eval/pass_rate": overall_pass_rate,
"eval/total_tasks": total,
"eval/passed_tasks": passed,
"eval/evaluation_time_seconds": end_time - start_time,
}
# Per-category metrics
for category, cat_items in sorted(cat_results.items()):
cat_passed = sum(1 for r in cat_items if r.get("passed"))
cat_total = len(cat_items)
cat_pass_rate = cat_passed / cat_total if cat_total > 0 else 0.0
cat_key = category.replace(" ", "_").replace("-", "_").lower()
eval_metrics[f"eval/pass_rate_{cat_key}"] = cat_pass_rate
# Store metrics for wandb_log
self.eval_metrics = [(k, v) for k, v in eval_metrics.items()]
# ---- Print summary ----
print(f"\n{'='*60}")
print("Terminal-Bench 2.0 Evaluation Results")
print(f"{'='*60}")
print(f"Overall Pass Rate: {overall_pass_rate:.4f} ({passed}/{total})")
print(f"Evaluation Time: {end_time - start_time:.1f} seconds")
print("\nCategory Breakdown:")
for category, cat_items in sorted(cat_results.items()):
cat_passed = sum(1 for r in cat_items if r.get("passed"))
cat_total = len(cat_items)
cat_rate = cat_passed / cat_total if cat_total > 0 else 0.0
print(f" {category}: {cat_rate:.1%} ({cat_passed}/{cat_total})")
# Print individual task results
print("\nTask Results:")
for r in sorted(valid_results, key=lambda x: x.get("task_name", "")):
status = "PASS" if r.get("passed") else "FAIL"
turns = r.get("turns_used", "?")
error = r.get("error", "")
extra = f" (error: {error})" if error else ""
print(f" [{status}] {r['task_name']} (turns={turns}){extra}")
print(f"{'='*60}\n")
# Build sample records for evaluate_log (includes full conversations)
samples = [
{
"task_name": r.get("task_name"),
"category": r.get("category"),
"passed": r.get("passed"),
"reward": r.get("reward"),
"turns_used": r.get("turns_used"),
"error": r.get("error"),
"messages": r.get("messages"),
}
for r in valid_results
]
# Log evaluation results
try:
await self.evaluate_log(
metrics=eval_metrics,
samples=samples,
start_time=start_time,
end_time=end_time,
generation_parameters={
"temperature": self.config.agent_temperature,
"max_tokens": self.config.max_token_length,
"max_agent_turns": self.config.max_agent_turns,
"terminal_backend": self.config.terminal_backend,
},
)
except Exception as e:
print(f"Error logging evaluation results: {e}")
# Close streaming file
if hasattr(self, "_streaming_file") and not self._streaming_file.closed:
self._streaming_file.close()
print(f" Live results saved to: {self._streaming_path}")
# Kill all remaining sandboxes. Timed-out tasks leave orphaned thread
# pool workers still executing commands -- cleanup_all stops them.
from hermes_agent.tools.terminal import cleanup_all_environments
print("\nCleaning up all sandboxes...")
cleanup_all_environments()
# Shut down the tool thread pool so orphaned workers from timed-out
# tasks are killed immediately instead of retrying against dead
# sandboxes and spamming the console with TimeoutError warnings.
from environments.agent_loop import _tool_executor
_tool_executor.shutdown(wait=False, cancel_futures=True)
print("Done.")
# =========================================================================
# Wandb logging
# =========================================================================
async def wandb_log(self, wandb_metrics: Optional[Dict] = None):
"""Log TB2-specific metrics to wandb."""
if wandb_metrics is None:
wandb_metrics = {}
# Add stored eval metrics
for metric_name, metric_value in self.eval_metrics:
wandb_metrics[metric_name] = metric_value
self.eval_metrics = []
await super().wandb_log(wandb_metrics)
if __name__ == "__main__":
TerminalBench2EvalEnv.cli()

View File

@@ -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)
@@ -709,7 +708,7 @@ class YCBenchEvalEnv(HermesAgentBaseEnv):
tqdm.write("\n[INTERRUPTED] Stopping evaluation...")
pbar.close()
try:
from hermes_agent.tools.terminal import cleanup_all_environments
from tools.terminal_tool import cleanup_all_environments
cleanup_all_environments()
except Exception:
pass
@@ -819,7 +818,7 @@ class YCBenchEvalEnv(HermesAgentBaseEnv):
print(f"Results saved to: {self._streaming_path}")
try:
from hermes_agent.tools.terminal import cleanup_all_environments
from tools.terminal_tool import cleanup_all_environments
cleanup_all_environments()
except Exception:
pass

View File

@@ -62,15 +62,10 @@ from atroposlib.type_definitions import Item
from environments.agent_loop import AgentResult, HermesAgentLoop
from environments.tool_context import ToolContext
from hermes_agent.tools.budget_config import (
DEFAULT_RESULT_SIZE_CHARS,
DEFAULT_TURN_BUDGET_CHARS,
DEFAULT_PREVIEW_SIZE_CHARS,
)
# Import hermes-agent toolset infrastructure
from hermes_agent.tools.dispatch import get_tool_definitions
from hermes_agent.tools.distributions import sample_toolsets_from_distribution
from model_tools import get_tool_definitions
from toolset_distributions import sample_toolsets_from_distribution
logger = logging.getLogger(__name__)
@@ -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 hermes_agent.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)

View File

@@ -11,11 +11,11 @@ Solution:
_AsyncWorker thread internally, making it safe for both CLI and Atropos use.
No monkey-patching is required.
This module is kept for backward compatibility. apply_patches() is a no-op.
This module is kept for backward compatibility apply_patches() is now a no-op.
Usage:
Call apply_patches() once at import time (done automatically by hermes_base_env.py).
This is idempotent and safe to call multiple times.
This is idempotent — calling it multiple times is safe.
"""
import logging
@@ -26,10 +26,17 @@ _patches_applied = False
def apply_patches():
"""Apply all monkey patches needed for Atropos compatibility."""
"""Apply all monkey patches needed for Atropos compatibility.
Now a no-op — Modal async safety is built directly into ModalEnvironment.
Safe to call multiple times.
"""
global _patches_applied
if _patches_applied:
return
logger.debug("apply_patches() called; no patches needed (async safety is built-in)")
# Modal async-safety is now built into tools/environments/modal.py
# via the _AsyncWorker class. No monkey-patching needed.
logger.debug("apply_patches() called — no patches needed (async safety is built-in)")
_patches_applied = True

View File

@@ -49,8 +49,6 @@ class HermesToolCallParser(ToolCallParser):
continue
tc_data = json.loads(raw_json)
if "name" not in tc_data:
continue
tool_calls.append(
ChatCompletionMessageToolCall(
id=f"call_{uuid.uuid4().hex[:8]}",

View File

@@ -89,8 +89,6 @@ class MistralToolCallParser(ToolCallParser):
parsed = [parsed]
for tc in parsed:
if "name" not in tc:
continue
args = tc.get("arguments", {})
if isinstance(args, dict):
args = json.dumps(args, ensure_ascii=False)

View File

@@ -31,9 +31,9 @@ from typing import Any, Dict, List, Optional
import asyncio
import concurrent.futures
from hermes_agent.tools.dispatch import handle_function_call
from hermes_agent.tools.terminal import cleanup_vm
from hermes_agent.tools.browser.tool import cleanup_browser
from model_tools import handle_function_call
from tools.terminal_tool import cleanup_vm
from tools.browser_tool import cleanup_browser
logger = logging.getLogger(__name__)
@@ -53,6 +53,7 @@ def _run_tool_in_thread(tool_name: str, arguments: Dict[str, Any], task_id: str)
try:
loop = asyncio.get_running_loop()
# We're in an async context -- need to run in thread
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
future = pool.submit(
handle_function_call, tool_name, arguments, task_id
@@ -446,7 +447,7 @@ class ToolContext:
"""
# Kill any background processes from this rollout (safety net)
try:
from hermes_agent.tools.process_registry import process_registry
from tools.process_registry import process_registry
killed = process_registry.kill_all(task_id=self.task_id)
if killed:
logger.debug("Process cleanup for task %s: killed %d process(es)", self.task_id, killed)

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)

29
flake.lock generated
View File

@@ -22,40 +22,20 @@
},
"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"
}
},
"npm-lockfile-fix": {
"inputs": {
"nixpkgs": [
"nixpkgs"
]
},
"locked": {
"lastModified": 1775903712,
"narHash": "sha256-2GV79U6iVH4gKAPWYrxUReB0S41ty/Y3dBLquU8AlaA=",
"owner": "jeslie0",
"repo": "npm-lockfile-fix",
"rev": "c6093acb0c0548e0f9b8b3d82918823721930fe8",
"type": "github"
},
"original": {
"owner": "jeslie0",
"repo": "npm-lockfile-fix",
"type": "github"
}
},
"pyproject-build-systems": {
"inputs": {
"nixpkgs": [
@@ -144,7 +124,6 @@
"inputs": {
"flake-parts": "flake-parts",
"nixpkgs": "nixpkgs",
"npm-lockfile-fix": "npm-lockfile-fix",
"pyproject-build-systems": "pyproject-build-systems",
"pyproject-nix": "pyproject-nix_2",
"uv2nix": "uv2nix_2"

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";
@@ -19,20 +19,11 @@
url = "github:pyproject-nix/build-system-pkgs";
inputs.nixpkgs.follows = "nixpkgs";
};
npm-lockfile-fix = {
url = "github:jeslie0/npm-lockfile-fix";
inputs.nixpkgs.follows = "nixpkgs";
};
};
outputs =
inputs:
outputs = inputs:
inputs.flake-parts.lib.mkFlake { inherit inputs; } {
systems = [
"x86_64-linux"
"aarch64-linux"
"aarch64-darwin"
];
systems = [ "x86_64-linux" "aarch64-linux" "aarch64-darwin" ];
imports = [
./nix/packages.nix

View File

@@ -11,28 +11,13 @@ import logging
from datetime import datetime
from typing import Any, Dict, List, Optional
from hermes_agent.cli.config import get_hermes_home
from hermes_agent.utils import atomic_json_write
from hermes_cli.config import get_hermes_home
logger = logging.getLogger(__name__)
DIRECTORY_PATH = get_hermes_home() / "channel_directory.json"
def _normalize_channel_query(value: str) -> str:
return value.lstrip("#").strip().lower()
def _channel_target_name(platform_name: str, channel: Dict[str, Any]) -> str:
"""Return the human-facing target label shown to users for a channel entry."""
name = channel["name"]
if platform_name == "discord" and channel.get("guild"):
return f"#{name}"
if platform_name != "discord" and channel.get("type"):
return f"{name} ({channel['type']})"
return name
def _session_entry_id(origin: Dict[str, Any]) -> Optional[str]:
chat_id = origin.get("chat_id")
if not chat_id:
@@ -63,7 +48,7 @@ def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
Returns the directory dict and writes it to DIRECTORY_PATH.
"""
from hermes_agent.gateway.config import Platform
from gateway.config import Platform
platforms: Dict[str, List[Dict[str, str]]] = {}
@@ -76,15 +61,10 @@ def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
except Exception as e:
logger.warning("Channel directory: failed to build %s: %s", platform.value, e)
# Platforms that don't support direct channel enumeration get session-based
# discovery automatically. Skip infrastructure entries that aren't messaging
# platforms — everything else falls through to _build_from_sessions().
_SKIP_SESSION_DISCOVERY = frozenset({"local", "api_server", "webhook"})
for plat in Platform:
plat_name = plat.value
if plat_name in _SKIP_SESSION_DISCOVERY or plat_name in platforms:
continue
platforms[plat_name] = _build_from_sessions(plat_name)
# Telegram, WhatsApp & Signal can't enumerate chats -- pull from session history
for plat_name in ("telegram", "whatsapp", "signal", "email", "sms"):
if plat_name not in platforms:
platforms[plat_name] = _build_from_sessions(plat_name)
directory = {
"updated_at": datetime.now().isoformat(),
@@ -92,7 +72,9 @@ def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
}
try:
atomic_json_write(DIRECTORY_PATH, directory)
DIRECTORY_PATH.parent.mkdir(parents=True, exist_ok=True)
with open(DIRECTORY_PATH, "w", encoding="utf-8") as f:
json.dump(directory, f, indent=2, ensure_ascii=False)
except Exception as e:
logger.warning("Channel directory: failed to write: %s", e)
@@ -100,7 +82,7 @@ def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
def _build_discord(adapter) -> List[Dict[str, str]]:
"""Enumerate all text channels and forum channels the Discord bot can see."""
"""Enumerate all text channels the Discord bot can see."""
channels = []
client = getattr(adapter, "_client", None)
if not client:
@@ -119,15 +101,6 @@ def _build_discord(adapter) -> List[Dict[str, str]]:
"guild": guild.name,
"type": "channel",
})
# Forum channels (type 15) — creating a message auto-spawns a thread post.
forums = getattr(guild, "forum_channels", None) or []
for ch in forums:
channels.append({
"id": str(ch.id),
"name": ch.name,
"guild": guild.name,
"type": "forum",
})
# Also include DM-capable users we've interacted with is not
# feasible via guild enumeration; those come from sessions.
@@ -138,13 +111,14 @@ def _build_discord(adapter) -> List[Dict[str, str]]:
def _build_slack(adapter) -> List[Dict[str, str]]:
"""List Slack channels the bot has joined."""
channels = []
# Slack adapter may expose a web client
client = getattr(adapter, "_app", None) or getattr(adapter, "_client", None)
if not client:
return _build_from_sessions("slack")
try:
from hermes_agent.tools.send_message import _send_slack # noqa: F401
from tools.send_message_tool import _send_slack # noqa: F401
# Use the Slack Web API directly if available
except Exception:
pass
@@ -200,15 +174,6 @@ def load_directory() -> Dict[str, Any]:
return {"updated_at": None, "platforms": {}}
def lookup_channel_type(platform_name: str, chat_id: str) -> Optional[str]:
"""Return the channel ``type`` string (e.g. ``"channel"``, ``"forum"``) for *chat_id*, or *None* if unknown."""
directory = load_directory()
for ch in directory.get("platforms", {}).get(platform_name, []):
if ch.get("id") == chat_id:
return ch.get("type")
return None
def resolve_channel_name(platform_name: str, name: str) -> Optional[str]:
"""
Resolve a human-friendly channel name to a numeric ID.
@@ -223,25 +188,23 @@ def resolve_channel_name(platform_name: str, name: str) -> Optional[str]:
if not channels:
return None
query = _normalize_channel_query(name)
query = name.lstrip("#").lower()
# 1. Exact name match, including the display labels shown by send_message(action="list")
# 1. Exact name match
for ch in channels:
if _normalize_channel_query(ch["name"]) == query:
return ch["id"]
if _normalize_channel_query(_channel_target_name(platform_name, ch)) == query:
if ch["name"].lower() == query:
return ch["id"]
# 2. Guild-qualified match for Discord ("GuildName/channel")
if "/" in query:
guild_part, ch_part = query.rsplit("/", 1)
for ch in channels:
guild = ch.get("guild", "").strip().lower()
if guild == guild_part and _normalize_channel_query(ch["name"]) == ch_part:
guild = ch.get("guild", "").lower()
if guild == guild_part and ch["name"].lower() == ch_part:
return ch["id"]
# 3. Partial prefix match (only if unambiguous)
matches = [ch for ch in channels if _normalize_channel_query(ch["name"]).startswith(query)]
matches = [ch for ch in channels if ch["name"].lower().startswith(query)]
if len(matches) == 1:
return matches[0]["id"]
@@ -276,16 +239,17 @@ def format_directory_for_display() -> str:
for guild_name, guild_channels in sorted(guilds.items()):
lines.append(f"Discord ({guild_name}):")
for ch in sorted(guild_channels, key=lambda c: c["name"]):
lines.append(f" discord:{_channel_target_name(plat_name, ch)}")
lines.append(f" discord:#{ch['name']}")
if dms:
lines.append("Discord (DMs):")
for ch in dms:
lines.append(f" discord:{_channel_target_name(plat_name, ch)}")
lines.append(f" discord:{ch['name']}")
lines.append("")
else:
lines.append(f"{plat_name.title()}:")
for ch in channels:
lines.append(f" {plat_name}:{_channel_target_name(plat_name, ch)}")
type_label = f" ({ch['type']})" if ch.get("type") else ""
lines.append(f" {plat_name}:{ch['name']}{type_label}")
lines.append("")
lines.append('Use these as the "target" parameter when sending.')

View File

@@ -16,8 +16,7 @@ from dataclasses import dataclass, field
from typing import Dict, List, Optional, Any
from enum import Enum
from hermes_agent.cli.config import get_hermes_home
from hermes_agent.utils import is_truthy_value
from hermes_cli.config import get_hermes_home
logger = logging.getLogger(__name__)
@@ -26,14 +25,11 @@ def _coerce_bool(value: Any, default: bool = True) -> bool:
"""Coerce bool-ish config values, preserving a caller-provided default."""
if value is None:
return default
if isinstance(value, bool):
return value
if isinstance(value, str):
lowered = value.strip().lower()
if lowered in ("true", "1", "yes", "on"):
return True
if lowered in ("false", "0", "no", "off"):
return False
return default
return is_truthy_value(value, default=default)
return value.strip().lower() in ("true", "1", "yes", "on")
return bool(value)
def _normalize_unauthorized_dm_behavior(value: Any, default: str = "pair") -> str:
@@ -61,12 +57,6 @@ class Platform(Enum):
DINGTALK = "dingtalk"
API_SERVER = "api_server"
WEBHOOK = "webhook"
FEISHU = "feishu"
WECOM = "wecom"
WECOM_CALLBACK = "wecom_callback"
WEIXIN = "weixin"
BLUEBUBBLES = "bluebubbles"
QQBOT = "qqbot"
@dataclass
@@ -192,7 +182,7 @@ class StreamingConfig:
"""Configuration for real-time token streaming to messaging platforms."""
enabled: bool = False
transport: str = "edit" # "edit" (progressive editMessageText) or "off"
edit_interval: float = 1.0 # Seconds between message edits (Telegram rate-limits at ~1/s)
edit_interval: float = 0.3 # Seconds between message edits
buffer_threshold: int = 40 # Chars before forcing an edit
cursor: str = "" # Cursor shown during streaming
@@ -212,7 +202,7 @@ class StreamingConfig:
return cls(
enabled=data.get("enabled", False),
transport=data.get("transport", "edit"),
edit_interval=float(data.get("edit_interval", 1.0)),
edit_interval=float(data.get("edit_interval", 0.3)),
buffer_threshold=int(data.get("buffer_threshold", 40)),
cursor=data.get("cursor", ""),
)
@@ -250,7 +240,6 @@ class GatewayConfig:
# Session isolation in shared chats
group_sessions_per_user: bool = True # Isolate group/channel sessions per participant when user IDs are available
thread_sessions_per_user: bool = False # When False (default), threads are shared across all participants
# Unauthorized DM policy
unauthorized_dm_behavior: str = "pair" # "pair" or "ignore"
@@ -258,24 +247,12 @@ class GatewayConfig:
# Streaming configuration
streaming: StreamingConfig = field(default_factory=StreamingConfig)
# Session store pruning: drop SessionEntry records older than this many
# days from the in-memory dict and sessions.json. Keeps the store from
# growing unbounded in gateways serving many chats/threads/users over
# months. Pruning is invisible to users — if they resume, they get a
# fresh session exactly as if the reset policy had fired. 0 = disabled.
session_store_max_age_days: int = 90
def get_connected_platforms(self) -> List[Platform]:
"""Return list of platforms that are enabled and configured."""
connected = []
for platform, config in self.platforms.items():
if not config.enabled:
continue
# Weixin requires both a token and an account_id
if platform == Platform.WEIXIN:
if config.extra.get("account_id") and (config.token or config.extra.get("token")):
connected.append(platform)
continue
# Platforms that use token/api_key auth
if config.token or config.api_key:
connected.append(platform)
@@ -297,31 +274,6 @@ class GatewayConfig:
# Webhook uses enabled flag only (secrets are per-route)
elif platform == Platform.WEBHOOK:
connected.append(platform)
# Feishu uses extra dict for app credentials
elif platform == Platform.FEISHU and config.extra.get("app_id"):
connected.append(platform)
# WeCom bot mode uses extra dict for bot credentials
elif platform == Platform.WECOM and config.extra.get("bot_id"):
connected.append(platform)
# WeCom callback mode uses corp_id or apps list
elif platform == Platform.WECOM_CALLBACK and (
config.extra.get("corp_id") or config.extra.get("apps")
):
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)
# QQBot uses extra dict for app credentials
elif platform == Platform.QQBOT and config.extra.get("app_id") and config.extra.get("client_secret"):
connected.append(platform)
# DingTalk uses client_id/client_secret from config.extra or env vars
elif platform == Platform.DINGTALK and (
config.extra.get("client_id") or os.getenv("DINGTALK_CLIENT_ID")
) and (
config.extra.get("client_secret") or os.getenv("DINGTALK_CLIENT_SECRET")
):
connected.append(platform)
return connected
def get_home_channel(self, platform: Platform) -> Optional[HomeChannel]:
@@ -369,10 +321,8 @@ class GatewayConfig:
"always_log_local": self.always_log_local,
"stt_enabled": self.stt_enabled,
"group_sessions_per_user": self.group_sessions_per_user,
"thread_sessions_per_user": self.thread_sessions_per_user,
"unauthorized_dm_behavior": self.unauthorized_dm_behavior,
"streaming": self.streaming.to_dict(),
"session_store_max_age_days": self.session_store_max_age_days,
}
@classmethod
@@ -414,19 +364,11 @@ class GatewayConfig:
stt_enabled = data.get("stt", {}).get("enabled") if isinstance(data.get("stt"), dict) else None
group_sessions_per_user = data.get("group_sessions_per_user")
thread_sessions_per_user = data.get("thread_sessions_per_user")
unauthorized_dm_behavior = _normalize_unauthorized_dm_behavior(
data.get("unauthorized_dm_behavior"),
"pair",
)
try:
session_store_max_age_days = int(data.get("session_store_max_age_days", 90))
if session_store_max_age_days < 0:
session_store_max_age_days = 0
except (TypeError, ValueError):
session_store_max_age_days = 90
return cls(
platforms=platforms,
default_reset_policy=default_policy,
@@ -438,10 +380,8 @@ class GatewayConfig:
always_log_local=data.get("always_log_local", True),
stt_enabled=_coerce_bool(stt_enabled, True),
group_sessions_per_user=_coerce_bool(group_sessions_per_user, True),
thread_sessions_per_user=_coerce_bool(thread_sessions_per_user, False),
unauthorized_dm_behavior=unauthorized_dm_behavior,
streaming=StreamingConfig.from_dict(data.get("streaming", {})),
session_store_max_age_days=session_store_max_age_days,
)
def get_unauthorized_dm_behavior(self, platform: Optional[Platform] = None) -> str:
@@ -515,9 +455,6 @@ def load_gateway_config() -> GatewayConfig:
if "group_sessions_per_user" in yaml_cfg:
gw_data["group_sessions_per_user"] = yaml_cfg["group_sessions_per_user"]
if "thread_sessions_per_user" in yaml_cfg:
gw_data["thread_sessions_per_user"] = yaml_cfg["thread_sessions_per_user"]
streaming_cfg = yaml_cfg.get("streaming")
if isinstance(streaming_cfg, dict):
gw_data["streaming"] = streaming_cfg
@@ -570,28 +507,6 @@ def load_gateway_config() -> GatewayConfig:
)
if "reply_prefix" in platform_cfg:
bridged["reply_prefix"] = platform_cfg["reply_prefix"]
if "require_mention" in platform_cfg:
bridged["require_mention"] = platform_cfg["require_mention"]
if "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 "dm_policy" in platform_cfg:
bridged["dm_policy"] = platform_cfg["dm_policy"]
if "allow_from" in platform_cfg:
bridged["allow_from"] = platform_cfg["allow_from"]
if "group_policy" in platform_cfg:
bridged["group_policy"] = platform_cfg["group_policy"]
if "group_allow_from" in platform_cfg:
bridged["group_allow_from"] = platform_cfg["group_allow_from"]
if plat == Platform.DISCORD and "channel_skill_bindings" in platform_cfg:
bridged["channel_skill_bindings"] = platform_cfg["channel_skill_bindings"]
if "channel_prompts" in platform_cfg:
channel_prompts = platform_cfg["channel_prompts"]
if isinstance(channel_prompts, dict):
bridged["channel_prompts"] = {str(k): v for k, v in channel_prompts.items()}
else:
bridged["channel_prompts"] = channel_prompts
if not bridged:
continue
plat_data = platforms_data.setdefault(plat.value, {})
@@ -604,19 +519,6 @@ 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):
@@ -629,132 +531,6 @@ def load_gateway_config() -> GatewayConfig:
os.environ["DISCORD_FREE_RESPONSE_CHANNELS"] = str(frc)
if "auto_thread" in discord_cfg and not os.getenv("DISCORD_AUTO_THREAD"):
os.environ["DISCORD_AUTO_THREAD"] = str(discord_cfg["auto_thread"]).lower()
if "reactions" in discord_cfg and not os.getenv("DISCORD_REACTIONS"):
os.environ["DISCORD_REACTIONS"] = str(discord_cfg["reactions"]).lower()
# ignored_channels: channels where bot never responds (even when mentioned)
ic = discord_cfg.get("ignored_channels")
if ic is not None and not os.getenv("DISCORD_IGNORED_CHANNELS"):
if isinstance(ic, list):
ic = ",".join(str(v) for v in ic)
os.environ["DISCORD_IGNORED_CHANNELS"] = str(ic)
# allowed_channels: if set, bot ONLY responds in these channels (whitelist)
ac = discord_cfg.get("allowed_channels")
if ac is not None and not os.getenv("DISCORD_ALLOWED_CHANNELS"):
if isinstance(ac, list):
ac = ",".join(str(v) for v in ac)
os.environ["DISCORD_ALLOWED_CHANNELS"] = str(ac)
# no_thread_channels: channels where bot responds directly without creating thread
ntc = discord_cfg.get("no_thread_channels")
if ntc is not None and not os.getenv("DISCORD_NO_THREAD_CHANNELS"):
if isinstance(ntc, list):
ntc = ",".join(str(v) for v in ntc)
os.environ["DISCORD_NO_THREAD_CHANNELS"] = str(ntc)
# allow_mentions: granular control over what the bot can ping.
# Safe defaults (no @everyone/roles) are applied in the adapter;
# these YAML keys only override when set and let users opt back
# into unsafe modes (e.g. roles=true) if they actually want it.
allow_mentions_cfg = discord_cfg.get("allow_mentions")
if isinstance(allow_mentions_cfg, dict):
for yaml_key, env_key in (
("everyone", "DISCORD_ALLOW_MENTION_EVERYONE"),
("roles", "DISCORD_ALLOW_MENTION_ROLES"),
("users", "DISCORD_ALLOW_MENTION_USERS"),
("replied_user", "DISCORD_ALLOW_MENTION_REPLIED_USER"),
):
if yaml_key in allow_mentions_cfg and not os.getenv(env_key):
os.environ[env_key] = str(allow_mentions_cfg[yaml_key]).lower()
# Telegram settings → env vars (env vars take precedence)
telegram_cfg = yaml_cfg.get("telegram", {})
if isinstance(telegram_cfg, dict):
if "require_mention" in telegram_cfg and not os.getenv("TELEGRAM_REQUIRE_MENTION"):
os.environ["TELEGRAM_REQUIRE_MENTION"] = str(telegram_cfg["require_mention"]).lower()
if "mention_patterns" in telegram_cfg and not os.getenv("TELEGRAM_MENTION_PATTERNS"):
os.environ["TELEGRAM_MENTION_PATTERNS"] = json.dumps(telegram_cfg["mention_patterns"])
frc = telegram_cfg.get("free_response_chats")
if frc is not None and not os.getenv("TELEGRAM_FREE_RESPONSE_CHATS"):
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["TELEGRAM_FREE_RESPONSE_CHATS"] = str(frc)
ignored_threads = telegram_cfg.get("ignored_threads")
if ignored_threads is not None and not os.getenv("TELEGRAM_IGNORED_THREADS"):
if isinstance(ignored_threads, list):
ignored_threads = ",".join(str(v) for v in ignored_threads)
os.environ["TELEGRAM_IGNORED_THREADS"] = str(ignored_threads)
if "reactions" in telegram_cfg and not os.getenv("TELEGRAM_REACTIONS"):
os.environ["TELEGRAM_REACTIONS"] = str(telegram_cfg["reactions"]).lower()
if "proxy_url" in telegram_cfg and not os.getenv("TELEGRAM_PROXY"):
os.environ["TELEGRAM_PROXY"] = str(telegram_cfg["proxy_url"]).strip()
if "disable_link_previews" in telegram_cfg:
plat_data = platforms_data.setdefault(Platform.TELEGRAM.value, {})
if not isinstance(plat_data, dict):
plat_data = {}
platforms_data[Platform.TELEGRAM.value] = plat_data
extra = plat_data.setdefault("extra", {})
if not isinstance(extra, dict):
extra = {}
plat_data["extra"] = extra
extra["disable_link_previews"] = telegram_cfg["disable_link_previews"]
whatsapp_cfg = yaml_cfg.get("whatsapp", {})
if isinstance(whatsapp_cfg, dict):
if "require_mention" in whatsapp_cfg and not os.getenv("WHATSAPP_REQUIRE_MENTION"):
os.environ["WHATSAPP_REQUIRE_MENTION"] = str(whatsapp_cfg["require_mention"]).lower()
if "mention_patterns" in whatsapp_cfg and not os.getenv("WHATSAPP_MENTION_PATTERNS"):
os.environ["WHATSAPP_MENTION_PATTERNS"] = json.dumps(whatsapp_cfg["mention_patterns"])
frc = whatsapp_cfg.get("free_response_chats")
if frc is not None and not os.getenv("WHATSAPP_FREE_RESPONSE_CHATS"):
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["WHATSAPP_FREE_RESPONSE_CHATS"] = str(frc)
if "dm_policy" in whatsapp_cfg and not os.getenv("WHATSAPP_DM_POLICY"):
os.environ["WHATSAPP_DM_POLICY"] = str(whatsapp_cfg["dm_policy"]).lower()
af = whatsapp_cfg.get("allow_from")
if af is not None and not os.getenv("WHATSAPP_ALLOWED_USERS"):
if isinstance(af, list):
af = ",".join(str(v) for v in af)
os.environ["WHATSAPP_ALLOWED_USERS"] = str(af)
if "group_policy" in whatsapp_cfg and not os.getenv("WHATSAPP_GROUP_POLICY"):
os.environ["WHATSAPP_GROUP_POLICY"] = str(whatsapp_cfg["group_policy"]).lower()
gaf = whatsapp_cfg.get("group_allow_from")
if gaf is not None and not os.getenv("WHATSAPP_GROUP_ALLOWED_USERS"):
if isinstance(gaf, list):
gaf = ",".join(str(v) for v in gaf)
os.environ["WHATSAPP_GROUP_ALLOWED_USERS"] = str(gaf)
# DingTalk settings → env vars (env vars take precedence)
dingtalk_cfg = yaml_cfg.get("dingtalk", {})
if isinstance(dingtalk_cfg, dict):
if "require_mention" in dingtalk_cfg and not os.getenv("DINGTALK_REQUIRE_MENTION"):
os.environ["DINGTALK_REQUIRE_MENTION"] = str(dingtalk_cfg["require_mention"]).lower()
if "mention_patterns" in dingtalk_cfg and not os.getenv("DINGTALK_MENTION_PATTERNS"):
os.environ["DINGTALK_MENTION_PATTERNS"] = json.dumps(dingtalk_cfg["mention_patterns"])
frc = dingtalk_cfg.get("free_response_chats")
if frc is not None and not os.getenv("DINGTALK_FREE_RESPONSE_CHATS"):
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["DINGTALK_FREE_RESPONSE_CHATS"] = str(frc)
allowed = dingtalk_cfg.get("allowed_users")
if allowed is not None and not os.getenv("DINGTALK_ALLOWED_USERS"):
if isinstance(allowed, list):
allowed = ",".join(str(v) for v in allowed)
os.environ["DINGTALK_ALLOWED_USERS"] = str(allowed)
# Matrix settings → env vars (env vars take precedence)
matrix_cfg = yaml_cfg.get("matrix", {})
if isinstance(matrix_cfg, dict):
if "require_mention" in matrix_cfg and not os.getenv("MATRIX_REQUIRE_MENTION"):
os.environ["MATRIX_REQUIRE_MENTION"] = str(matrix_cfg["require_mention"]).lower()
frc = matrix_cfg.get("free_response_rooms")
if frc is not None and not os.getenv("MATRIX_FREE_RESPONSE_ROOMS"):
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["MATRIX_FREE_RESPONSE_ROOMS"] = str(frc)
if "auto_thread" in matrix_cfg and not os.getenv("MATRIX_AUTO_THREAD"):
os.environ["MATRIX_AUTO_THREAD"] = str(matrix_cfg["auto_thread"]).lower()
if "dm_mention_threads" in matrix_cfg and not os.getenv("MATRIX_DM_MENTION_THREADS"):
os.environ["MATRIX_DM_MENTION_THREADS"] = str(matrix_cfg["dm_mention_threads"]).lower()
except Exception as e:
logger.warning(
"Failed to process config.yaml — falling back to .env / gateway.json values. "
@@ -769,17 +545,6 @@ def load_gateway_config() -> GatewayConfig:
_apply_env_overrides(config)
# --- Validate loaded values ---
_validate_gateway_config(config)
return config
def _validate_gateway_config(config: "GatewayConfig") -> None:
"""Validate and sanitize a loaded GatewayConfig in place.
Called by ``load_gateway_config()`` after all config sources are merged.
Extracted as a separate function for testability.
"""
policy = config.default_reset_policy
if not (0 <= policy.at_hour <= 23):
@@ -803,7 +568,6 @@ def _validate_gateway_config(config: "GatewayConfig") -> None:
Platform.SLACK: "SLACK_BOT_TOKEN",
Platform.MATTERMOST: "MATTERMOST_TOKEN",
Platform.MATRIX: "MATRIX_ACCESS_TOKEN",
Platform.WEIXIN: "WEIXIN_TOKEN",
}
for platform, pconfig in config.platforms.items():
if not pconfig.enabled:
@@ -816,31 +580,7 @@ def _validate_gateway_config(config: "GatewayConfig") -> None:
platform.value, env_name,
)
# Reject known-weak placeholder tokens.
# Ported from openclaw/openclaw#64586: users who copy .env.example
# without changing placeholder values get a clear startup error instead
# of a confusing "auth failed" from the platform API.
try:
from hermes_agent.cli.auth.auth import has_usable_secret
except ImportError:
has_usable_secret = None # type: ignore[assignment]
if has_usable_secret is not None:
for platform, pconfig in config.platforms.items():
if not pconfig.enabled:
continue
env_name = _token_env_names.get(platform)
if not env_name:
continue
token = pconfig.token
if token and token.strip() and not has_usable_secret(token, min_length=4):
logger.error(
"%s is enabled but %s is set to a placeholder value ('%s'). "
"Set a real bot token before starting the gateway. "
"The adapter will NOT be started.",
platform.value, env_name, token.strip()[:6] + "...",
)
pconfig.enabled = False
return config
def _apply_env_overrides(config: GatewayConfig) -> None:
@@ -861,14 +601,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.TELEGRAM] = PlatformConfig()
config.platforms[Platform.TELEGRAM].reply_to_mode = telegram_reply_mode
telegram_fallback_ips = os.getenv("TELEGRAM_FALLBACK_IPS", "")
if telegram_fallback_ips:
if Platform.TELEGRAM not in config.platforms:
config.platforms[Platform.TELEGRAM] = PlatformConfig()
config.platforms[Platform.TELEGRAM].extra["fallback_ips"] = [
ip.strip() for ip in telegram_fallback_ips.split(",") if ip.strip()
]
telegram_home = os.getenv("TELEGRAM_HOME_CHANNEL")
if telegram_home and Platform.TELEGRAM in config.platforms:
config.platforms[Platform.TELEGRAM].home_channel = HomeChannel(
@@ -893,13 +625,6 @@ 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:
@@ -914,13 +639,14 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.SLACK] = PlatformConfig()
config.platforms[Platform.SLACK].enabled = True
config.platforms[Platform.SLACK].token = slack_token
slack_home = os.getenv("SLACK_HOME_CHANNEL")
if slack_home and Platform.SLACK in config.platforms:
config.platforms[Platform.SLACK].home_channel = HomeChannel(
platform=Platform.SLACK,
chat_id=slack_home,
name=os.getenv("SLACK_HOME_CHANNEL_NAME", ""),
)
# Home channel
slack_home = os.getenv("SLACK_HOME_CHANNEL")
if slack_home:
config.platforms[Platform.SLACK].home_channel = HomeChannel(
platform=Platform.SLACK,
chat_id=slack_home,
name=os.getenv("SLACK_HOME_CHANNEL_NAME", ""),
)
# Signal
signal_url = os.getenv("SIGNAL_HTTP_URL")
@@ -934,13 +660,13 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
"account": signal_account,
"ignore_stories": os.getenv("SIGNAL_IGNORE_STORIES", "true").lower() in ("true", "1", "yes"),
})
signal_home = os.getenv("SIGNAL_HOME_CHANNEL")
if signal_home and Platform.SIGNAL in config.platforms:
config.platforms[Platform.SIGNAL].home_channel = HomeChannel(
platform=Platform.SIGNAL,
chat_id=signal_home,
name=os.getenv("SIGNAL_HOME_CHANNEL_NAME", "Home"),
)
signal_home = os.getenv("SIGNAL_HOME_CHANNEL")
if signal_home:
config.platforms[Platform.SIGNAL].home_channel = HomeChannel(
platform=Platform.SIGNAL,
chat_id=signal_home,
name=os.getenv("SIGNAL_HOME_CHANNEL_NAME", "Home"),
)
# Mattermost
mattermost_token = os.getenv("MATTERMOST_TOKEN")
@@ -953,13 +679,13 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.MATTERMOST].enabled = True
config.platforms[Platform.MATTERMOST].token = mattermost_token
config.platforms[Platform.MATTERMOST].extra["url"] = mattermost_url
mattermost_home = os.getenv("MATTERMOST_HOME_CHANNEL")
if mattermost_home and Platform.MATTERMOST in config.platforms:
config.platforms[Platform.MATTERMOST].home_channel = HomeChannel(
platform=Platform.MATTERMOST,
chat_id=mattermost_home,
name=os.getenv("MATTERMOST_HOME_CHANNEL_NAME", "Home"),
)
mattermost_home = os.getenv("MATTERMOST_HOME_CHANNEL")
if mattermost_home:
config.platforms[Platform.MATTERMOST].home_channel = HomeChannel(
platform=Platform.MATTERMOST,
chat_id=mattermost_home,
name=os.getenv("MATTERMOST_HOME_CHANNEL_NAME", "Home"),
)
# Matrix
matrix_token = os.getenv("MATRIX_ACCESS_TOKEN")
@@ -981,16 +707,13 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.MATRIX].extra["password"] = matrix_password
matrix_e2ee = os.getenv("MATRIX_ENCRYPTION", "").lower() in ("true", "1", "yes")
config.platforms[Platform.MATRIX].extra["encryption"] = matrix_e2ee
matrix_device_id = os.getenv("MATRIX_DEVICE_ID", "")
if matrix_device_id:
config.platforms[Platform.MATRIX].extra["device_id"] = matrix_device_id
matrix_home = os.getenv("MATRIX_HOME_ROOM")
if matrix_home and Platform.MATRIX in config.platforms:
config.platforms[Platform.MATRIX].home_channel = HomeChannel(
platform=Platform.MATRIX,
chat_id=matrix_home,
name=os.getenv("MATRIX_HOME_ROOM_NAME", "Home"),
)
matrix_home = os.getenv("MATRIX_HOME_ROOM")
if matrix_home:
config.platforms[Platform.MATRIX].home_channel = HomeChannel(
platform=Platform.MATRIX,
chat_id=matrix_home,
name=os.getenv("MATRIX_HOME_ROOM_NAME", "Home"),
)
# Home Assistant
hass_token = os.getenv("HASS_TOKEN")
@@ -1017,13 +740,13 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
"imap_host": email_imap,
"smtp_host": email_smtp,
})
email_home = os.getenv("EMAIL_HOME_ADDRESS")
if email_home and Platform.EMAIL in config.platforms:
config.platforms[Platform.EMAIL].home_channel = HomeChannel(
platform=Platform.EMAIL,
chat_id=email_home,
name=os.getenv("EMAIL_HOME_ADDRESS_NAME", "Home"),
)
email_home = os.getenv("EMAIL_HOME_ADDRESS")
if email_home:
config.platforms[Platform.EMAIL].home_channel = HomeChannel(
platform=Platform.EMAIL,
chat_id=email_home,
name=os.getenv("EMAIL_HOME_ADDRESS_NAME", "Home"),
)
# SMS (Twilio)
twilio_sid = os.getenv("TWILIO_ACCOUNT_SID")
@@ -1032,13 +755,13 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.SMS] = PlatformConfig()
config.platforms[Platform.SMS].enabled = True
config.platforms[Platform.SMS].api_key = os.getenv("TWILIO_AUTH_TOKEN", "")
sms_home = os.getenv("SMS_HOME_CHANNEL")
if sms_home and Platform.SMS in config.platforms:
config.platforms[Platform.SMS].home_channel = HomeChannel(
platform=Platform.SMS,
chat_id=sms_home,
name=os.getenv("SMS_HOME_CHANNEL_NAME", "Home"),
)
sms_home = os.getenv("SMS_HOME_CHANNEL")
if sms_home:
config.platforms[Platform.SMS].home_channel = HomeChannel(
platform=Platform.SMS,
chat_id=sms_home,
name=os.getenv("SMS_HOME_CHANNEL_NAME", "Home"),
)
# API Server
api_server_enabled = os.getenv("API_SERVER_ENABLED", "").lower() in ("true", "1", "yes")
@@ -1063,9 +786,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
pass
if api_server_host:
config.platforms[Platform.API_SERVER].extra["host"] = api_server_host
api_server_model_name = os.getenv("API_SERVER_MODEL_NAME", "")
if api_server_model_name:
config.platforms[Platform.API_SERVER].extra["model_name"] = api_server_model_name
# Webhook platform
webhook_enabled = os.getenv("WEBHOOK_ENABLED", "").lower() in ("true", "1", "yes")
@@ -1083,192 +803,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
if webhook_secret:
config.platforms[Platform.WEBHOOK].extra["secret"] = webhook_secret
# DingTalk
dingtalk_client_id = os.getenv("DINGTALK_CLIENT_ID")
dingtalk_client_secret = os.getenv("DINGTALK_CLIENT_SECRET")
if dingtalk_client_id and dingtalk_client_secret:
if Platform.DINGTALK not in config.platforms:
config.platforms[Platform.DINGTALK] = PlatformConfig()
config.platforms[Platform.DINGTALK].enabled = True
config.platforms[Platform.DINGTALK].extra.update({
"client_id": dingtalk_client_id,
"client_secret": dingtalk_client_secret,
})
dingtalk_home = os.getenv("DINGTALK_HOME_CHANNEL")
if dingtalk_home:
config.platforms[Platform.DINGTALK].home_channel = HomeChannel(
platform=Platform.DINGTALK,
chat_id=dingtalk_home,
name=os.getenv("DINGTALK_HOME_CHANNEL_NAME", "Home"),
)
# Feishu / Lark
feishu_app_id = os.getenv("FEISHU_APP_ID")
feishu_app_secret = os.getenv("FEISHU_APP_SECRET")
if feishu_app_id and feishu_app_secret:
if Platform.FEISHU not in config.platforms:
config.platforms[Platform.FEISHU] = PlatformConfig()
config.platforms[Platform.FEISHU].enabled = True
config.platforms[Platform.FEISHU].extra.update({
"app_id": feishu_app_id,
"app_secret": feishu_app_secret,
"domain": os.getenv("FEISHU_DOMAIN", "feishu"),
"connection_mode": os.getenv("FEISHU_CONNECTION_MODE", "websocket"),
})
feishu_encrypt_key = os.getenv("FEISHU_ENCRYPT_KEY", "")
if feishu_encrypt_key:
config.platforms[Platform.FEISHU].extra["encrypt_key"] = feishu_encrypt_key
feishu_verification_token = os.getenv("FEISHU_VERIFICATION_TOKEN", "")
if feishu_verification_token:
config.platforms[Platform.FEISHU].extra["verification_token"] = feishu_verification_token
feishu_home = os.getenv("FEISHU_HOME_CHANNEL")
if feishu_home:
config.platforms[Platform.FEISHU].home_channel = HomeChannel(
platform=Platform.FEISHU,
chat_id=feishu_home,
name=os.getenv("FEISHU_HOME_CHANNEL_NAME", "Home"),
)
# WeCom (Enterprise WeChat)
wecom_bot_id = os.getenv("WECOM_BOT_ID")
wecom_secret = os.getenv("WECOM_SECRET")
if wecom_bot_id and wecom_secret:
if Platform.WECOM not in config.platforms:
config.platforms[Platform.WECOM] = PlatformConfig()
config.platforms[Platform.WECOM].enabled = True
config.platforms[Platform.WECOM].extra.update({
"bot_id": wecom_bot_id,
"secret": wecom_secret,
})
wecom_ws_url = os.getenv("WECOM_WEBSOCKET_URL", "")
if wecom_ws_url:
config.platforms[Platform.WECOM].extra["websocket_url"] = wecom_ws_url
wecom_home = os.getenv("WECOM_HOME_CHANNEL")
if wecom_home:
config.platforms[Platform.WECOM].home_channel = HomeChannel(
platform=Platform.WECOM,
chat_id=wecom_home,
name=os.getenv("WECOM_HOME_CHANNEL_NAME", "Home"),
)
# WeCom callback mode (self-built apps)
wecom_callback_corp_id = os.getenv("WECOM_CALLBACK_CORP_ID")
wecom_callback_corp_secret = os.getenv("WECOM_CALLBACK_CORP_SECRET")
if wecom_callback_corp_id and wecom_callback_corp_secret:
if Platform.WECOM_CALLBACK not in config.platforms:
config.platforms[Platform.WECOM_CALLBACK] = PlatformConfig()
config.platforms[Platform.WECOM_CALLBACK].enabled = True
config.platforms[Platform.WECOM_CALLBACK].extra.update({
"corp_id": wecom_callback_corp_id,
"corp_secret": wecom_callback_corp_secret,
"agent_id": os.getenv("WECOM_CALLBACK_AGENT_ID", ""),
"token": os.getenv("WECOM_CALLBACK_TOKEN", ""),
"encoding_aes_key": os.getenv("WECOM_CALLBACK_ENCODING_AES_KEY", ""),
"host": os.getenv("WECOM_CALLBACK_HOST", "0.0.0.0"),
"port": int(os.getenv("WECOM_CALLBACK_PORT", "8645")),
})
# Weixin (personal WeChat via iLink Bot API)
weixin_token = os.getenv("WEIXIN_TOKEN")
weixin_account_id = os.getenv("WEIXIN_ACCOUNT_ID")
if weixin_token or weixin_account_id:
if Platform.WEIXIN not in config.platforms:
config.platforms[Platform.WEIXIN] = PlatformConfig()
config.platforms[Platform.WEIXIN].enabled = True
if weixin_token:
config.platforms[Platform.WEIXIN].token = weixin_token
extra = config.platforms[Platform.WEIXIN].extra
if weixin_account_id:
extra["account_id"] = weixin_account_id
weixin_base_url = os.getenv("WEIXIN_BASE_URL", "").strip()
if weixin_base_url:
extra["base_url"] = weixin_base_url.rstrip("/")
weixin_cdn_base_url = os.getenv("WEIXIN_CDN_BASE_URL", "").strip()
if weixin_cdn_base_url:
extra["cdn_base_url"] = weixin_cdn_base_url.rstrip("/")
weixin_dm_policy = os.getenv("WEIXIN_DM_POLICY", "").strip().lower()
if weixin_dm_policy:
extra["dm_policy"] = weixin_dm_policy
weixin_group_policy = os.getenv("WEIXIN_GROUP_POLICY", "").strip().lower()
if weixin_group_policy:
extra["group_policy"] = weixin_group_policy
weixin_allowed_users = os.getenv("WEIXIN_ALLOWED_USERS", "").strip()
if weixin_allowed_users:
extra["allow_from"] = weixin_allowed_users
weixin_group_allowed_users = os.getenv("WEIXIN_GROUP_ALLOWED_USERS", "").strip()
if weixin_group_allowed_users:
extra["group_allow_from"] = weixin_group_allowed_users
weixin_split_multiline = os.getenv("WEIXIN_SPLIT_MULTILINE_MESSAGES", "").strip()
if weixin_split_multiline:
extra["split_multiline_messages"] = weixin_split_multiline
weixin_home = os.getenv("WEIXIN_HOME_CHANNEL", "").strip()
if weixin_home:
config.platforms[Platform.WEIXIN].home_channel = HomeChannel(
platform=Platform.WEIXIN,
chat_id=weixin_home,
name=os.getenv("WEIXIN_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"),
)
# QQ (Official Bot API v2)
qq_app_id = os.getenv("QQ_APP_ID")
qq_client_secret = os.getenv("QQ_CLIENT_SECRET")
if qq_app_id or qq_client_secret:
if Platform.QQBOT not in config.platforms:
config.platforms[Platform.QQBOT] = PlatformConfig()
config.platforms[Platform.QQBOT].enabled = True
extra = config.platforms[Platform.QQBOT].extra
if qq_app_id:
extra["app_id"] = qq_app_id
if qq_client_secret:
extra["client_secret"] = qq_client_secret
qq_allowed_users = os.getenv("QQ_ALLOWED_USERS", "").strip()
if qq_allowed_users:
extra["allow_from"] = qq_allowed_users
qq_group_allowed = os.getenv("QQ_GROUP_ALLOWED_USERS", "").strip()
if qq_group_allowed:
extra["group_allow_from"] = qq_group_allowed
qq_home = os.getenv("QQBOT_HOME_CHANNEL", "").strip()
qq_home_name_env = "QQBOT_HOME_CHANNEL_NAME"
if not qq_home:
# Back-compat: accept the pre-rename name and log a one-time warning.
legacy_home = os.getenv("QQ_HOME_CHANNEL", "").strip()
if legacy_home:
qq_home = legacy_home
qq_home_name_env = "QQ_HOME_CHANNEL_NAME"
logging.getLogger(__name__).warning(
"QQ_HOME_CHANNEL is deprecated; rename to QQBOT_HOME_CHANNEL "
"in your .env for consistency with the platform key."
)
if qq_home:
config.platforms[Platform.QQBOT].home_channel = HomeChannel(
platform=Platform.QQBOT,
chat_id=qq_home,
name=os.getenv("QQBOT_HOME_CHANNEL_NAME") or os.getenv(qq_home_name_env, "Home"),
)
# Session settings
idle_minutes = os.getenv("SESSION_IDLE_MINUTES")
if idle_minutes:
@@ -1283,3 +817,5 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.default_reset_policy.at_hour = int(reset_hour)
except ValueError:
pass

View File

@@ -12,9 +12,9 @@ import logging
from pathlib import Path
from datetime import datetime
from dataclasses import dataclass
from typing import Dict, List, Optional, Any
from typing import Dict, List, Optional, Any, Union
from hermes_agent.cli.config import get_hermes_home
from hermes_cli.config import get_hermes_home
logger = logging.getLogger(__name__)
@@ -70,15 +70,12 @@ class DeliveryTarget:
if target == "local":
return cls(platform=Platform.LOCAL)
# Check for platform:chat_id or platform:chat_id:thread_id format
# Check for platform:chat_id format
if ":" in target:
parts = target.split(":", 2)
platform_str = parts[0]
chat_id = parts[1] if len(parts) > 1 else None
thread_id = parts[2] if len(parts) > 2 else None
platform_str, chat_id = target.split(":", 1)
try:
platform = Platform(platform_str)
return cls(platform=platform, chat_id=chat_id, thread_id=thread_id, is_explicit=True)
return cls(platform=platform, chat_id=chat_id, is_explicit=True)
except ValueError:
# Unknown platform, treat as local
return cls(platform=Platform.LOCAL)
@@ -97,8 +94,6 @@ class DeliveryTarget:
return "origin"
if self.platform == Platform.LOCAL:
return "local"
if self.chat_id and self.thread_id:
return f"{self.platform.value}:{self.chat_id}:{self.thread_id}"
if self.chat_id:
return f"{self.platform.value}:{self.chat_id}"
return self.platform.value
@@ -124,6 +119,53 @@ 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 +294,53 @@ 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
def build_delivery_context_for_tool(
config: GatewayConfig,
origin: Optional[SessionSource] = None
) -> Dict[str, Any]:
"""
Build context for the unified cronjob tool to understand delivery options.
This is passed to the tool so it can validate and explain delivery targets.
"""
connected = config.get_connected_platforms()
options = {
"origin": {
"description": "Back to where this job was created",
"available": origin is not None,
},
"local": {
"description": "Save to local files only",
"available": True,
}
}
for platform in connected:
home = config.get_home_channel(platform)
options[platform.value] = {
"description": f"{platform.value.title()} home channel",
"available": True,
"home_channel": home.to_dict() if home else None,
}
return {
"origin": origin.to_dict() if origin else None,
"options": options,
"always_log_local": config.always_log_local,
}

View File

@@ -25,7 +25,7 @@ from typing import Any, Callable, Dict, List, Optional
import yaml
from hermes_agent.cli.config import get_hermes_home
from hermes_cli.config import get_hermes_home
HOOKS_DIR = get_hermes_home() / "hooks"
@@ -51,33 +51,14 @@ class HookRegistry:
"""Return metadata about all loaded hooks."""
return list(self._loaded_hooks)
def _register_builtin_hooks(self) -> None:
"""Register built-in hooks that are always active."""
try:
from hermes_agent.gateway.builtin_hooks.boot_md import handle as boot_md_handle
self._handlers.setdefault("gateway:startup", []).append(boot_md_handle)
self._loaded_hooks.append({
"name": "boot-md",
"description": "Run ~/.hermes/BOOT.md on gateway startup",
"events": ["gateway:startup"],
"path": "(builtin)",
})
except Exception as e:
print(f"[hooks] Could not load built-in boot-md hook: {e}", flush=True)
def discover_and_load(self) -> None:
"""
Scan the hooks directory for hook directories and load their handlers.
Also registers built-in hooks that are always active.
Each hook directory must contain:
- HOOK.yaml with at least 'name' and 'events' keys
- handler.py with a top-level 'handle' function (sync or async)
"""
self._register_builtin_hooks()
if not HOOKS_DIR.exists():
return

View File

@@ -14,7 +14,7 @@ import logging
from datetime import datetime
from typing import Optional
from hermes_agent.cli.config import get_hermes_home
from hermes_cli.config import get_hermes_home
logger = logging.getLogger(__name__)
@@ -118,7 +118,7 @@ def _append_to_sqlite(session_id: str, message: dict) -> None:
"""Append a message to the SQLite session database."""
db = None
try:
from hermes_agent.state import SessionDB
from hermes_state import SessionDB
db = SessionDB()
db.append_message(
session_id=session_id,

View File

@@ -21,13 +21,11 @@ Storage: ~/.hermes/pairing/
import json
import os
import secrets
import tempfile
import threading
import time
from pathlib import Path
from typing import Optional
from hermes_agent.constants import get_hermes_dir
from hermes_cli.config import get_hermes_home
# Unambiguous alphabet -- excludes 0/O, 1/I to prevent confusion
@@ -43,33 +41,17 @@ LOCKOUT_SECONDS = 3600 # Lockout duration after too many failures
MAX_PENDING_PER_PLATFORM = 3 # Max pending codes per platform
MAX_FAILED_ATTEMPTS = 5 # Failed approvals before lockout
PAIRING_DIR = get_hermes_dir("platforms/pairing", "pairing")
PAIRING_DIR = get_hermes_home() / "pairing"
def _secure_write(path: Path, data: str) -> None:
"""Write data to file with restrictive permissions (owner read/write only).
Uses a temp-file + atomic rename so readers always see either the old
complete file or the new one never a partial write.
"""
"""Write data to file with restrictive permissions (owner read/write only)."""
path.parent.mkdir(parents=True, exist_ok=True)
fd, tmp_path = tempfile.mkstemp(dir=str(path.parent), suffix=".tmp")
path.write_text(data, encoding="utf-8")
try:
with os.fdopen(fd, "w", encoding="utf-8") as f:
f.write(data)
f.flush()
os.fsync(f.fileno())
os.replace(tmp_path, str(path))
try:
os.chmod(path, 0o600)
except OSError:
pass # Windows doesn't support chmod the same way
except BaseException:
try:
os.unlink(tmp_path)
except OSError:
pass
raise
os.chmod(path, 0o600)
except OSError:
pass # Windows doesn't support chmod the same way
class PairingStore:
@@ -84,9 +66,6 @@ class PairingStore:
def __init__(self):
PAIRING_DIR.mkdir(parents=True, exist_ok=True)
# Protects all read-modify-write cycles. The gateway runs multiple
# platform adapters concurrently in threads sharing one PairingStore.
self._lock = threading.RLock()
def _pending_path(self, platform: str) -> Path:
return PAIRING_DIR / f"{platform}-pending.json"
@@ -126,7 +105,7 @@ class PairingStore:
return results
def _approve_user(self, platform: str, user_id: str, user_name: str = "") -> None:
"""Add a user to the approved list. Must be called under self._lock."""
"""Add a user to the approved list."""
approved = self._load_json(self._approved_path(platform))
approved[user_id] = {
"user_name": user_name,
@@ -137,12 +116,11 @@ class PairingStore:
def revoke(self, platform: str, user_id: str) -> bool:
"""Remove a user from the approved list. Returns True if found."""
path = self._approved_path(platform)
with self._lock:
approved = self._load_json(path)
if user_id in approved:
del approved[user_id]
self._save_json(path, approved)
return True
approved = self._load_json(path)
if user_id in approved:
del approved[user_id]
self._save_json(path, approved)
return True
return False
# ----- Pending codes -----
@@ -158,37 +136,36 @@ class PairingStore:
- Max pending codes reached for this platform
- User/platform is in lockout due to failed attempts
"""
with self._lock:
self._cleanup_expired(platform)
self._cleanup_expired(platform)
# Check lockout
if self._is_locked_out(platform):
return None
# Check lockout
if self._is_locked_out(platform):
return None
# Check rate limit for this specific user
if self._is_rate_limited(platform, user_id):
return None
# Check rate limit for this specific user
if self._is_rate_limited(platform, user_id):
return None
# Check max pending
pending = self._load_json(self._pending_path(platform))
if len(pending) >= MAX_PENDING_PER_PLATFORM:
return None
# Check max pending
pending = self._load_json(self._pending_path(platform))
if len(pending) >= MAX_PENDING_PER_PLATFORM:
return None
# Generate cryptographically random code
code = "".join(secrets.choice(ALPHABET) for _ in range(CODE_LENGTH))
# Generate cryptographically random code
code = "".join(secrets.choice(ALPHABET) for _ in range(CODE_LENGTH))
# Store pending request
pending[code] = {
"user_id": user_id,
"user_name": user_name,
"created_at": time.time(),
}
self._save_json(self._pending_path(platform), pending)
# Store pending request
pending[code] = {
"user_id": user_id,
"user_name": user_name,
"created_at": time.time(),
}
self._save_json(self._pending_path(platform), pending)
# Record rate limit
self._record_rate_limit(platform, user_id)
# Record rate limit
self._record_rate_limit(platform, user_id)
return code
return code
def approve_code(self, platform: str, code: str) -> Optional[dict]:
"""
@@ -196,25 +173,24 @@ class PairingStore:
Returns {user_id, user_name} on success, None if code is invalid/expired.
"""
with self._lock:
self._cleanup_expired(platform)
code = code.upper().strip()
self._cleanup_expired(platform)
code = code.upper().strip()
pending = self._load_json(self._pending_path(platform))
if code not in pending:
self._record_failed_attempt(platform)
return None
pending = self._load_json(self._pending_path(platform))
if code not in pending:
self._record_failed_attempt(platform)
return None
entry = pending.pop(code)
self._save_json(self._pending_path(platform), pending)
entry = pending.pop(code)
self._save_json(self._pending_path(platform), pending)
# Add to approved list
self._approve_user(platform, entry["user_id"], entry.get("user_name", ""))
# Add to approved list
self._approve_user(platform, entry["user_id"], entry.get("user_name", ""))
return {
"user_id": entry["user_id"],
"user_name": entry.get("user_name", ""),
}
return {
"user_id": entry["user_id"],
"user_name": entry.get("user_name", ""),
}
def list_pending(self, platform: str = None) -> list:
"""List pending pairing requests, optionally filtered by platform."""
@@ -236,13 +212,12 @@ class PairingStore:
def clear_pending(self, platform: str = None) -> int:
"""Clear all pending requests. Returns count removed."""
with self._lock:
count = 0
platforms = [platform] if platform else self._all_platforms("pending")
for p in platforms:
pending = self._load_json(self._pending_path(p))
count += len(pending)
self._save_json(self._pending_path(p), {})
count = 0
platforms = [platform] if platform else self._all_platforms("pending")
for p in platforms:
pending = self._load_json(self._pending_path(p))
count += len(pending)
self._save_json(self._pending_path(p), {})
return count
# ----- Rate limiting and lockout -----

View File

@@ -9,11 +9,9 @@ Each adapter handles:
"""
from .base import BasePlatformAdapter, MessageEvent, SendResult
from .qqbot import QQAdapter
__all__ = [
"BasePlatformAdapter",
"MessageEvent",
"SendResult",
"QQAdapter",
]

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1341
gateway/platforms/base.py Normal file

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