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4 Commits

Author SHA1 Message Date
Jai Suphavadeeprasit
c2d5a28d15 Modularize frontend 2025-10-13 11:53:13 -04:00
Jai Suphavadeeprasit
bb5eab2645 logging work 2025-10-13 10:44:42 -04:00
Jai Suphavadeeprasit
6313c9879f changes 2025-10-11 17:52:23 -04:00
Jai Suphavadeeprasit
e698b7e0e5 changes 2025-10-10 18:04:22 -04:00
2322 changed files with 10022 additions and 867613 deletions

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# Git
.git
.gitignore
.gitmodules
# Dependencies
node_modules
.venv
# CI/CD
.github
# Environment files
.env
*.md

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# Hermes Agent Environment Configuration
# Copy this file to .env and fill in your API keys
# =============================================================================
# LLM PROVIDER (OpenRouter)
# =============================================================================
# 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=
# 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
# =============================================================================
# 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_BASE_URL=https://api.z.ai/api/paas/v4 # Override default base URL
# =============================================================================
# LLM PROVIDER (Kimi / Moonshot)
# =============================================================================
# Kimi Code provides access to Moonshot AI coding models (kimi-k2.5, etc.)
# 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_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_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_BASE_URL=https://api.minimaxi.com/v1 # Override default base URL
# =============================================================================
# LLM PROVIDER (OpenCode Zen)
# =============================================================================
# OpenCode Zen provides curated, tested models (GPT, Claude, Gemini, MiniMax, GLM, Kimi)
# Pay-as-you-go pricing. Get your key at: https://opencode.ai/auth
# OPENCODE_ZEN_API_KEY=
# OPENCODE_ZEN_BASE_URL=https://opencode.ai/zen/v1 # Override default base URL
# =============================================================================
# LLM PROVIDER (OpenCode Go)
# =============================================================================
# OpenCode Go provides access to open models (GLM-5, Kimi K2.5, MiniMax M2.5)
# $10/month subscription. Get your key at: https://opencode.ai/auth
# OPENCODE_GO_API_KEY=
# =============================================================================
# LLM PROVIDER (Hugging Face Inference Providers)
# =============================================================================
# Hugging Face routes to 20+ open models via unified OpenAI-compatible endpoint.
# Free tier included ($0.10/month), no markup on provider rates.
# Get your token at: https://huggingface.co/settings/tokens
# Required permission: "Make calls to Inference Providers"
# HF_TOKEN=
# OPENCODE_GO_BASE_URL=https://opencode.ai/zen/go/v1 # Override default base URL
# =============================================================================
# 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=
# Firecrawl API Key - Web search, extract, and crawl
# Get at: https://firecrawl.dev/
# FIRECRAWL_API_KEY=
# FAL.ai API Key - Image generation
# Get at: https://fal.ai/
# FAL_KEY=
# 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=
# =============================================================================
# TERMINAL TOOL CONFIGURATION
# =============================================================================
# Backend type: "local", "singularity", "docker", "modal", or "ssh"
# Terminal backend is configured in ~/.hermes/config.yaml (terminal.backend).
# Use 'hermes setup' or 'hermes config set terminal.backend docker' to change.
# Supported: local, docker, singularity, modal, ssh
#
# 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
TERMINAL_MODAL_IMAGE=nikolaik/python-nodejs:python3.11-nodejs20
# Working directory for terminal commands
# For local backend: "." means current directory (resolved automatically)
# For remote backends (ssh/docker/modal/singularity): use an absolute path
# INSIDE the target environment, or leave unset for the backend's default
# (/root for modal, / for docker, ~ for ssh). Do NOT use a host-local path.
# Usually managed by config.yaml (terminal.cwd) — uncomment to override
# TERMINAL_CWD=.
# Default command timeout in seconds
TERMINAL_TIMEOUT=60
# Cleanup inactive environments after this many seconds
TERMINAL_LIFETIME_SECONDS=300
# =============================================================================
# SSH REMOTE EXECUTION (for TERMINAL_ENV=ssh)
# =============================================================================
# Run terminal commands on a remote server via SSH.
# Agent code stays on your machine, commands execute remotely.
#
# SECURITY BENEFITS:
# - Agent cannot read your .env file (API keys protected)
# - Agent cannot modify its own code
# - Remote server acts as isolated sandbox
# - Can safely configure passwordless sudo on remote
#
# TERMINAL_SSH_HOST=192.168.1.100
# TERMINAL_SSH_USER=agent
# TERMINAL_SSH_PORT=22
# TERMINAL_SSH_KEY=~/.ssh/id_rsa
# =============================================================================
# SUDO SUPPORT (works with ALL terminal backends)
# =============================================================================
# If set, enables sudo commands by piping password via `sudo -S`.
# Works with: local, docker, singularity, modal, and ssh backends.
#
# SECURITY WARNING: Password stored in plaintext. Only use on trusted machines.
#
# ALTERNATIVES:
# - For SSH backend: Configure passwordless sudo on the remote server
# - For containers: Run as root inside the container (no sudo needed)
# - For local: Configure /etc/sudoers for specific commands
# - For CLI: Leave unset - you'll be prompted interactively with 45s timeout
#
# SUDO_PASSWORD=your_password_here
# =============================================================================
# MODAL CLOUD BACKEND (Optional - for TERMINAL_ENV=modal)
# =============================================================================
# Modal uses CLI authentication, not environment variables.
# Run: pip install modal && modal setup
# This will authenticate via browser and store credentials locally.
# No API key needed in .env - Modal handles auth automatically.
# =============================================================================
# BROWSER TOOL CONFIGURATION (agent-browser + Browserbase)
# =============================================================================
# Browser automation requires Browserbase cloud service for remote browser execution.
# This allows the agent to navigate websites, fill forms, and extract information.
#
# STEALTH MODES:
# - Basic Stealth: ALWAYS active (random fingerprints, auto CAPTCHA solving)
# - Advanced Stealth: Requires BROWSERBASE_ADVANCED_STEALTH=true (Scale Plan only)
# Browserbase API Key - Cloud browser execution
# Get at: https://browserbase.com/
# BROWSERBASE_API_KEY=
# Browserbase Project ID - From your Browserbase dashboard
# BROWSERBASE_PROJECT_ID=
# Enable residential proxies for better CAPTCHA solving (default: true)
# Routes traffic through residential IPs, significantly improves success rate
BROWSERBASE_PROXIES=true
# Enable advanced stealth mode (default: false, requires Scale Plan)
# Uses custom Chromium build to avoid bot detection altogether
BROWSERBASE_ADVANCED_STEALTH=false
# Browser session timeout in seconds (default: 300)
# Sessions are cleaned up after this duration of inactivity
BROWSER_SESSION_TIMEOUT=300
# Browser inactivity timeout - auto-cleanup inactive sessions (default: 120 = 2 min)
# Browser sessions are automatically closed after this period of no activity
BROWSER_INACTIVITY_TIMEOUT=120
# =============================================================================
# SESSION LOGGING
# =============================================================================
# Session trajectories are automatically saved to logs/ directory
# Format: logs/session_YYYYMMDD_HHMMSS_UUID.json
# Contains full conversation history in trajectory format for debugging/replay
# =============================================================================
# VOICE TRANSCRIPTION & OPENAI TTS
# =============================================================================
# Required for voice message transcription (Whisper) and OpenAI TTS voices.
# 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=
# =============================================================================
# SLACK INTEGRATION
# =============================================================================
# Slack Bot Token - From Slack App settings (OAuth & Permissions)
# Get at: https://api.slack.com/apps
# SLACK_BOT_TOKEN=xoxb-...
# Slack App Token - For Socket Mode (App-Level Tokens in Slack App settings)
# SLACK_APP_TOKEN=xapp-...
# 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
# Email (IMAP/SMTP — send and receive emails as Hermes)
# For Gmail: enable 2FA → create App Password at https://myaccount.google.com/apppasswords
# EMAIL_ADDRESS=hermes@gmail.com
# EMAIL_PASSWORD=xxxx xxxx xxxx xxxx
# EMAIL_IMAP_HOST=imap.gmail.com
# EMAIL_IMAP_PORT=993
# EMAIL_SMTP_HOST=smtp.gmail.com
# EMAIL_SMTP_PORT=587
# EMAIL_POLL_INTERVAL=15
# EMAIL_ALLOWED_USERS=your@email.com
# EMAIL_HOME_ADDRESS=your@email.com
# Gateway-wide: allow ALL users without an allowlist (default: false = deny)
# Only set to true if you intentionally want open access.
# GATEWAY_ALLOW_ALL_USERS=false
# =============================================================================
# RESPONSE PACING
# =============================================================================
# Human-like delays between message chunks on messaging platforms.
# Makes the bot feel less robotic.
# HERMES_HUMAN_DELAY_MODE=off # off | natural | custom
# HERMES_HUMAN_DELAY_MIN_MS=800 # Min delay in ms (custom mode)
# HERMES_HUMAN_DELAY_MAX_MS=2500 # Max delay in ms (custom mode)
# =============================================================================
# DEBUG OPTIONS
# =============================================================================
WEB_TOOLS_DEBUG=false
VISION_TOOLS_DEBUG=false
MOA_TOOLS_DEBUG=false
IMAGE_TOOLS_DEBUG=false
# =============================================================================
# CONTEXT COMPRESSION (Auto-shrinks long conversations)
# =============================================================================
# When conversation approaches model's context limit, middle turns are
# automatically summarized to free up space.
#
# Context compression is configured in ~/.hermes/config.yaml under compression:
# CONTEXT_COMPRESSION_ENABLED=true # Enable auto-compression (default: true)
# CONTEXT_COMPRESSION_THRESHOLD=0.85 # Compress at 85% of context limit
# Model is set via compression.summary_model in config.yaml (default: google/gemini-3-flash-preview)
# =============================================================================
# RL TRAINING (Tinker + Atropos)
# =============================================================================
# Run reinforcement learning training on language models using the Tinker API.
# Requires the rl-server to be running (from tinker-atropos package).
# Tinker API Key - RL training service
# Get at: https://tinker-console.thinkingmachines.ai/keys
# TINKER_API_KEY=
# Weights & Biases API Key - Experiment tracking and metrics
# Get at: https://wandb.ai/authorize
# WANDB_API_KEY=
# RL API Server URL (default: http://localhost:8080)
# Change if running the rl-server on a different host/port
# RL_API_URL=http://localhost:8080
# =============================================================================
# SKILLS HUB (GitHub integration for skill search/install/publish)
# =============================================================================
# GitHub Personal Access Token — for higher API rate limits on skill search/install
# Get at: https://github.com/settings/tokens (Fine-grained recommended)
# GITHUB_TOKEN=ghp_xxxxxxxxxxxxxxxxxxxx
# GitHub App credentials (optional — for bot identity on PRs)
# GITHUB_APP_ID=
# GITHUB_APP_PRIVATE_KEY_PATH=
# GITHUB_APP_INSTALLATION_ID=
# Groq API key (free tier — used for Whisper STT in voice mode)
# GROQ_API_KEY=
# =============================================================================
# STT PROVIDER SELECTION
# =============================================================================
# Default STT provider is "local" (faster-whisper) — runs on your machine, no API key needed.
# Install with: pip install faster-whisper
# Model downloads automatically on first use (~150 MB for "base").
# To use cloud providers instead, set GROQ_API_KEY or VOICE_TOOLS_OPENAI_KEY above.
# Provider priority: local > groq > openai
# Configure in config.yaml: stt.provider: local | groq | openai
# =============================================================================
# STT ADVANCED OVERRIDES (optional)
# =============================================================================
# Override default STT models per provider (normally set via stt.model in config.yaml)
# STT_GROQ_MODEL=whisper-large-v3-turbo
# STT_OPENAI_MODEL=whisper-1
# Override STT provider endpoints (for proxies or self-hosted instances)
# GROQ_BASE_URL=https://api.groq.com/openai/v1
# STT_OPENAI_BASE_URL=https://api.openai.com/v1

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.envrc
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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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# 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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# Auto-generated files — collapse diffs and exclude from language stats
web/package-lock.json linguist-generated=true

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name: "🐛 Bug Report"
description: Report a bug — something that's broken, crashes, or behaves incorrectly.
title: "[Bug]: "
labels: ["bug"]
body:
- type: markdown
attributes:
value: |
Thanks for reporting a bug! Please fill out the sections below so we can reproduce and fix it quickly.
**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
attributes:
label: Bug Description
description: A clear description of what's broken. Include error messages, tracebacks, or screenshots if relevant.
placeholder: |
What happened? What did you expect to happen instead?
validations:
required: true
- type: textarea
id: reproduction
attributes:
label: Steps to Reproduce
description: Minimal steps to trigger the bug. The more specific, the faster we can fix it.
placeholder: |
1. Run `hermes chat`
2. Send the message "..."
3. Agent calls tool X
4. Error appears: ...
validations:
required: true
- type: textarea
id: expected
attributes:
label: Expected Behavior
description: What should have happened instead?
validations:
required: true
- type: textarea
id: actual
attributes:
label: Actual Behavior
description: What actually happened? Include full error output if available.
validations:
required: true
- type: dropdown
id: component
attributes:
label: Affected Component
description: Which part of Hermes is affected?
multiple: true
options:
- CLI (interactive chat)
- Gateway (Telegram/Discord/Slack/WhatsApp)
- Setup / Installation
- Tools (terminal, file ops, web, code execution, etc.)
- Skills (skill loading, skill hub, skill guard)
- Agent Core (conversation loop, context compression, memory)
- Configuration (config.yaml, .env, hermes setup)
- Other
validations:
required: true
- type: dropdown
id: platform
attributes:
label: Messaging Platform (if gateway-related)
description: Which platform adapter is affected?
multiple: true
options:
- N/A (CLI only)
- Telegram
- Discord
- 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:
label: Operating System
description: e.g. Ubuntu 24.04, macOS 15.2, Windows 11
placeholder: Ubuntu 24.04
validations:
required: true
- type: input
id: python-version
attributes:
label: Python Version
description: Output of `python --version`
placeholder: "3.11.9"
- type: input
id: hermes-version
attributes:
label: Hermes Version
description: Output of `hermes version`
placeholder: "2.1.0"
- 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`.
render: shell
- type: textarea
id: root-cause
attributes:
label: Root Cause Analysis (optional)
description: |
If you've dug into the code and identified the root cause, share it here.
Include file paths, line numbers, and code snippets if possible. This massively speeds up fixes.
placeholder: |
The bug is in `gateway/run.py` line 949. `len(history)` counts session_meta entries
but `agent_messages` was built from filtered history...
- type: textarea
id: proposed-fix
attributes:
label: Proposed Fix (optional)
description: If you have a fix in mind (or a PR ready), describe it here.
placeholder: |
Replace `.get()` with `.pop()` on line 289 of `gateway/platforms/base.py`
to actually clear the pending message after retrieval.
- type: checkboxes
id: pr-ready
attributes:
label: Are you willing to submit a PR for this?
options:
- label: I'd like to fix this myself and submit a PR

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blank_issues_enabled: true
contact_links:
- name: 💬 Nous Research Discord
url: https://discord.gg/NousResearch
about: For quick questions, showcasing projects, sharing skills, and community chat.
- name: 📖 Documentation
url: https://github.com/NousResearch/hermes-agent/blob/main/README.md
about: Check the README and docs before opening an issue.
- name: 🤝 Contributing Guide
url: https://github.com/NousResearch/hermes-agent/blob/main/CONTRIBUTING.md
about: Read this before submitting a PR.

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name: "✨ Feature Request"
description: Suggest a new feature or improvement.
title: "[Feature]: "
labels: ["enhancement"]
body:
- type: markdown
attributes:
value: |
Thanks for the suggestion! Before submitting, please consider:
- **Is this a new skill?** Most capabilities should be [skills, not tools](https://github.com/NousResearch/hermes-agent/blob/main/CONTRIBUTING.md#should-it-be-a-skill-or-a-tool). If it's a specialized integration (crypto, NFT, niche SaaS), it belongs on the Skills Hub, not bundled.
- **Search [existing issues](https://github.com/NousResearch/hermes-agent/issues)** — someone may have already proposed this.
- type: textarea
id: problem
attributes:
label: Problem or Use Case
description: What problem does this solve? What are you trying to do that you can't today?
placeholder: |
I'm trying to use Hermes with [provider/platform/workflow] but currently
there's no way to...
validations:
required: true
- type: textarea
id: solution
attributes:
label: Proposed Solution
description: How do you think this should work? Be as specific as you can — CLI flags, config options, UI behavior.
placeholder: |
Add a `--foo` flag to `hermes chat` that enables...
Or: Add a config key `bar.baz` that controls...
validations:
required: true
- type: textarea
id: alternatives
attributes:
label: Alternatives Considered
description: What other approaches did you consider? Why is the proposed solution better?
- type: dropdown
id: type
attributes:
label: Feature Type
options:
- New tool
- New bundled skill
- CLI improvement
- Gateway / messaging improvement
- Configuration option
- Performance / reliability
- Developer experience (tests, docs, CI)
- Other
validations:
required: true
- type: dropdown
id: scope
attributes:
label: Scope
description: How big is this change?
options:
- Small (single file, < 50 lines)
- Medium (few files, < 300 lines)
- Large (new module or significant refactor)
- type: checkboxes
id: pr-ready
attributes:
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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name: "🔧 Setup / Installation Help"
description: Having trouble installing or configuring Hermes? Ask here.
title: "[Setup]: "
labels: ["setup"]
body:
- type: markdown
attributes:
value: |
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
- 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
- type: textarea
id: description
attributes:
label: What's Going Wrong?
description: Describe what you're trying to do and where it fails.
placeholder: |
I ran `hermes setup` and selected Nous Portal, but when I try to
start the gateway I get...
validations:
required: true
- type: textarea
id: steps
attributes:
label: Steps Taken
description: What did you do? Include the exact commands you ran.
placeholder: |
1. Ran the install script: `curl -fsSL ... | bash`
2. Ran `hermes setup` and chose "Quick setup"
3. Selected OpenRouter, entered API key
4. Ran `hermes chat` and got error...
validations:
required: true
- type: dropdown
id: install-method
attributes:
label: Installation Method
options:
- Install script (curl | bash)
- Manual clone + pip/uv install
- PowerShell installer (Windows)
- Docker
- Other
validations:
required: true
- type: input
id: os
attributes:
label: Operating System
placeholder: Ubuntu 24.04 / macOS 15.2 / Windows 11
validations:
required: true
- type: input
id: python-version
attributes:
label: Python Version
description: Output of `python --version` (or `python3 --version`)
placeholder: "3.11.9"
- type: input
id: hermes-version
attributes:
label: Hermes Version
description: Output of `hermes version` (if install got that far)
placeholder: "2.1.0"
- 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 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
render: shell
- type: textarea
id: error-output
attributes:
label: Full Error Output
description: Paste the complete error message or traceback. This will be auto-formatted.
render: shell
validations:
required: true
- type: textarea
id: tried
attributes:
label: What I've Already Tried
description: List any fixes or workarounds you've already attempted.
placeholder: |
- Ran `hermes update`
- Tried reinstalling with `pip install -e ".[all]"`
- Checked that OPENROUTER_API_KEY is set in ~/.hermes/.env

View File

@@ -1,75 +0,0 @@
## What does this PR do?
<!-- Describe the change clearly. What problem does it solve? Why is this approach the right one? -->
## Related Issue
<!-- Link the issue this PR addresses. If no issue exists, consider creating one first. -->
Fixes #
## Type of Change
<!-- Check the one that applies. -->
- [ ] 🐛 Bug fix (non-breaking change that fixes an issue)
- [ ] ✨ New feature (non-breaking change that adds functionality)
- [ ] 🔒 Security fix
- [ ] 📝 Documentation update
- [ ] ✅ Tests (adding or improving test coverage)
- [ ] ♻️ Refactor (no behavior change)
- [ ] 🎯 New skill (bundled or hub)
## Changes Made
<!-- List the specific changes. Include file paths for code changes. -->
-
## How to Test
<!-- Steps to verify this change works. For bugs: reproduction steps + proof that the fix works. -->
1.
2.
3.
## Checklist
<!-- Complete these before requesting review. -->
### Code
- [ ] I've read the [Contributing Guide](https://github.com/NousResearch/hermes-agent/blob/main/CONTRIBUTING.md)
- [ ] My commit messages follow [Conventional Commits](https://www.conventionalcommits.org/) (`fix(scope):`, `feat(scope):`, etc.)
- [ ] I searched for [existing PRs](https://github.com/NousResearch/hermes-agent/pulls) to make sure this isn't a duplicate
- [ ] My PR contains **only** changes related to this fix/feature (no unrelated commits)
- [ ] I've run `pytest tests/ -q` and all tests pass
- [ ] I've added tests for my changes (required for bug fixes, strongly encouraged for features)
- [ ] I've tested on my platform: <!-- e.g. Ubuntu 24.04, macOS 15.2, Windows 11 -->
### Documentation & Housekeeping
<!-- Check all that apply. It's OK to check "N/A" if a category doesn't apply to your change. -->
- [ ] I've updated relevant documentation (README, `docs/`, docstrings) — or N/A
- [ ] I've updated `cli-config.yaml.example` if I added/changed config keys — or N/A
- [ ] I've updated `CONTRIBUTING.md` or `AGENTS.md` if I changed architecture or workflows — or N/A
- [ ] I've considered cross-platform impact (Windows, macOS) per the [compatibility guide](https://github.com/NousResearch/hermes-agent/blob/main/CONTRIBUTING.md#cross-platform-compatibility) — or N/A
- [ ] I've updated tool descriptions/schemas if I changed tool behavior — or N/A
## For New Skills
<!-- Only fill this out if you're adding a skill. Delete this section otherwise. -->
- [ ] This skill is **broadly useful** to most users (if bundled) — see [Contributing Guide](https://github.com/NousResearch/hermes-agent/blob/main/CONTRIBUTING.md#should-the-skill-be-bundled)
- [ ] SKILL.md follows the [standard format](https://github.com/NousResearch/hermes-agent/blob/main/CONTRIBUTING.md#skillmd-format) (frontmatter, trigger conditions, steps, pitfalls)
- [ ] No external dependencies that aren't already available (prefer stdlib, curl, existing Hermes tools)
- [ ] I've tested the skill end-to-end: `hermes --toolsets skills -q "Use the X skill to do Y"`
## Screenshots / Logs
<!-- If applicable, add screenshots or log output showing the fix/feature in action. -->

View File

@@ -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

View File

@@ -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

@@ -1,84 +0,0 @@
name: Deploy Site
on:
release:
types: [published]
push:
branches: [main]
paths:
- 'website/**'
- 'skills/**'
- 'optional-skills/**'
- '.github/workflows/deploy-site.yml'
workflow_dispatch:
permissions:
pages: write
id-token: write
concurrency:
group: pages
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'
runs-on: ubuntu-latest
environment:
name: github-pages
url: ${{ steps.deploy.outputs.page_url }}
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- 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 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
- name: Build Docusaurus
run: npm run build
working-directory: website
- name: Stage deployment
run: |
mkdir -p _site/docs
cp -r website/build/* _site/docs/
- 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

@@ -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

@@ -1,45 +0,0 @@
name: Docs Site Checks
on:
pull_request:
paths:
- 'website/**'
- '.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/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 20
cache: npm
cache-dependency-path: website/package-lock.json
- name: Install website dependencies
run: npm ci
working-directory: website
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # 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
- name: Lint docs diagrams
run: npm run lint:diagrams
working-directory: website
- name: Build Docusaurus
run: npm run build
working-directory: website

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

@@ -1,33 +0,0 @@
name: Nix
on:
push:
branches: [main]
pull_request:
permissions:
contents: read
concurrency:
group: nix-${{ github.ref }}
cancel-in-progress: true
jobs:
nix:
strategy:
matrix:
os: [ubuntu-latest, macos-latest]
runs-on: ${{ matrix.os }}
timeout-minutes: 30
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- uses: ./.github/actions/nix-setup
- name: Check flake
if: runner.os == 'Linux'
run: nix flake check --print-build-logs
- name: Build package
if: runner.os == 'Linux'
run: nix build --print-build-logs
- name: Evaluate flake (macOS)
if: runner.os == 'macOS'
run: nix flake show --json > /dev/null

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

@@ -1,139 +0,0 @@
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
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
fetch-depth: 0
- name: Scan diff for critical patterns
id: scan
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
set -euo pipefail
BASE="${{ github.event.pull_request.base.sha }}"
HEAD="${{ github.event.pull_request.head.sha }}"
# Added lines only, excluding lockfiles.
DIFF=$(git diff "$BASE".."$HEAD" -- . ':!uv.lock' ':!*.lock' ':!package-lock.json' ':!yarn.lock' || true)
FINDINGS=""
# --- .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 "$PTH_FILES" ]; then
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: .pth file added or modified
Python \`.pth\` files in \`site-packages/\` execute automatically when the interpreter starts — no import required.
**Files:**
\`\`\`
${PTH_FILES}
\`\`\`
"
fi
# --- base64 decode + exec/eval on the same line (the litellm attack pattern) ---
B64_EXEC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -iE 'base64\.(b64decode|decodebytes|urlsafe_b64decode)' | grep -iE 'exec\(|eval\(' | head -10 || true)
if [ -n "$B64_EXEC_HITS" ]; then
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: base64 decode + exec/eval combo
Base64-decoded strings passed directly to exec/eval — the signature of hidden credential-stealing payloads.
**Matches:**
\`\`\`
${B64_EXEC_HITS}
\`\`\`
"
fi
# --- subprocess with encoded/obfuscated command argument ---
PROC_HITS=$(echo "$DIFF" | grep -n '^\+' | grep -E 'subprocess\.(Popen|call|run)\s*\(' | grep -iE 'base64|\\x[0-9a-f]{2}|chr\(' | head -10 || true)
if [ -n "$PROC_HITS" ]; then
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: subprocess with encoded/obfuscated command
Subprocess calls whose command strings are base64- or hex-encoded are a strong indicator of payload execution.
**Matches:**
\`\`\`
${PROC_HITS}
\`\`\`
"
fi
# --- Install-hook files (setup.py/sitecustomize/usercustomize/__init__.pth) ---
# These execute during pip install or interpreter startup.
SETUP_HITS=$(git diff --name-only "$BASE".."$HEAD" | grep -E '(^|/)(setup\.py|setup\.cfg|sitecustomize\.py|usercustomize\.py|__init__\.pth)$' || true)
if [ -n "$SETUP_HITS" ]; then
FINDINGS="${FINDINGS}
### 🚨 CRITICAL: Install-hook file added or modified
These files can execute code during package installation or interpreter startup.
**Files:**
\`\`\`
${SETUP_HITS}
\`\`\`
"
fi
if [ -n "$FINDINGS" ]; then
echo "found=true" >> "$GITHUB_OUTPUT"
echo "$FINDINGS" > /tmp/findings.md
else
echo "found=false" >> "$GITHUB_OUTPUT"
fi
- name: Post critical finding comment
if: steps.scan.outputs.found == 'true'
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
BODY="## 🚨 CRITICAL Supply Chain Risk Detected
This PR contains a pattern that has been used in real supply chain attacks. A maintainer must review the flagged code carefully before merging.
$(cat /tmp/findings.md)
---
*Scanner only fires on high-signal indicators: .pth files, base64+exec/eval combos, subprocess with encoded commands, or install-hook files. Low-signal warnings were removed intentionally — if you're seeing this comment, the finding is worth inspecting.*"
gh pr comment "${{ github.event.pull_request.number }}" --body "$BODY" || echo "::warning::Could not post PR comment (expected for fork PRs — GITHUB_TOKEN is read-only)"
- name: Fail on critical findings
if: steps.scan.outputs.found == 'true'
run: |
echo "::error::CRITICAL supply chain risk patterns detected in this PR. See the PR comment for details."
exit 1

View File

@@ -1,82 +0,0 @@
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:
group: tests-${{ github.ref }}
cancel-in-progress: true
jobs:
test:
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- name: Checkout code
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
- name: Install system dependencies
run: sudo apt-get update && sudo apt-get install -y ripgrep
- 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 tests
run: |
source .venv/bin/activate
python -m pytest tests/ -q --ignore=tests/integration --ignore=tests/e2e --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: ""

89
.gitignore vendored
View File

@@ -1,70 +1,19 @@
/venv/
/_pycache/
*.pyc*
__pycache__/
.venv/
.vscode/
.env
.env.local
.env.development.local
.env.test.local
.env.production.local
.env.development
.env.test
export*
__pycache__/model_tools.cpython-310.pyc
__pycache__/web_tools.cpython-310.pyc
logs/
data/
.pytest_cache/
tmp/
temp_vision_images/
hermes-*/*
examples/
tests/quick_test_dataset.jsonl
tests/sample_dataset.jsonl
run_datagen_kimik2-thinking.sh
run_datagen_megascience_glm4-6.sh
run_datagen_sonnet.sh
source-data/*
run_datagen_megascience_glm4-6.sh
data/*
node_modules/
browser-use/
agent-browser/
# Private keys
*.ppk
*.pem
privvy*
images/
__pycache__/
hermes_agent.egg-info/
wandb/
testlogs
# CLI config (may contain sensitive SSH paths)
cli-config.yaml
# Skills Hub state (lives in ~/.hermes/skills/.hub/ at runtime, but just in case)
skills/.hub/
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
/venv/
/_pycache/
hecate/
hecate-lib/
*.pyc*
__pycache__/
.venv/
.vscode/
.env
.env.local
.env.development.local
.env.test.local
.env.production.local
.env.development
.env.test
export*
__pycache__/model_tools.cpython-310.pyc
__pycache__/web_tools.cpython-310.pyc
logs/

3
.gitmodules vendored
View File

@@ -1,3 +0,0 @@
[submodule "tinker-atropos"]
path = tinker-atropos
url = https://github.com/nousresearch/tinker-atropos

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>

View File

@@ -1,291 +0,0 @@
# OpenAI-Compatible API Server for Hermes Agent
## Motivation
Every major chat frontend (Open WebUI 126k★, LobeChat 73k★, LibreChat 34k★,
AnythingLLM 56k★, NextChat 87k★, ChatBox 39k★, Jan 26k★, HF Chat-UI 8k★,
big-AGI 7k★) connects to backends via the OpenAI-compatible REST API with
SSE streaming. By exposing this endpoint, hermes-agent becomes instantly
usable as a backend for all of them — no custom adapters needed.
## What It Enables
```
┌──────────────────┐
│ Open WebUI │──┐
│ LobeChat │ │ POST /v1/chat/completions
│ LibreChat │ ├──► Authorization: Bearer <key> ┌─────────────────┐
│ AnythingLLM │ │ {"messages": [...]} │ hermes-agent │
│ NextChat │ │ │ gateway │
│ Any OAI client │──┘ ◄── SSE streaming response │ (API server) │
└──────────────────┘ └─────────────────┘
```
A user would:
1. Set `API_SERVER_ENABLED=true` in `~/.hermes/.env`
2. Run `hermes gateway` (API server starts alongside Telegram/Discord/etc.)
3. Point Open WebUI (or any frontend) at `http://localhost:8642/v1`
4. Chat with hermes-agent through any OpenAI-compatible UI
## Endpoints
| Method | Path | Purpose |
|--------|------|---------|
| POST | `/v1/chat/completions` | Chat with the agent (streaming + non-streaming) |
| GET | `/v1/models` | List available "models" (returns hermes-agent as a model) |
| GET | `/health` | Health check |
## Architecture
### Option A: Gateway Platform Adapter (recommended)
Create `gateway/platforms/api_server.py` as a new platform adapter that
extends `BasePlatformAdapter`. This is the cleanest approach because:
- Reuses all gateway infrastructure (session management, auth, context building)
- Runs in the same async loop as other adapters
- Gets message handling, interrupt support, and session persistence for free
- Follows the established pattern (like Telegram, Discord, etc.)
- Uses `aiohttp.web` (already a dependency) for the HTTP server
The adapter would start an `aiohttp.web.Application` server in `connect()`
and route incoming HTTP requests through the standard `handle_message()` pipeline.
### Option B: Standalone Component
A separate HTTP server class in `gateway/api_server.py` that creates its own
AIAgent instances directly. Simpler but duplicates session/auth logic.
**Recommendation: Option A** — fits the existing architecture, less code to
maintain, gets all gateway features for free.
## Request/Response Format
### Chat Completions (non-streaming)
```
POST /v1/chat/completions
Authorization: Bearer hermes-api-key-here
Content-Type: application/json
{
"model": "hermes-agent",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What files are in the current directory?"}
],
"stream": false,
"temperature": 0.7
}
```
Response:
```json
{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"created": 1710000000,
"model": "hermes-agent",
"choices": [{
"index": 0,
"message": {
"role": "assistant",
"content": "Here are the files in the current directory:\n..."
},
"finish_reason": "stop"
}],
"usage": {
"prompt_tokens": 50,
"completion_tokens": 200,
"total_tokens": 250
}
}
```
### Chat Completions (streaming)
Same request with `"stream": true`. Response is SSE:
```
data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]}
data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"Here "},"finish_reason":null}]}
data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"are "},"finish_reason":null}]}
data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}
data: [DONE]
```
### Models List
```
GET /v1/models
Authorization: Bearer hermes-api-key-here
```
Response:
```json
{
"object": "list",
"data": [{
"id": "hermes-agent",
"object": "model",
"created": 1710000000,
"owned_by": "hermes-agent"
}]
}
```
## Key Design Decisions
### 1. Session Management
The OpenAI API is stateless — each request includes the full conversation.
But hermes-agent sessions have persistent state (memory, skills, tool context).
**Approach: Hybrid**
- Default: Stateless. Each request is independent. The `messages` array IS
the conversation. No session persistence between requests.
- Opt-in persistent sessions via `X-Session-ID` header. When provided, the
server maintains session state across requests (conversation history,
memory context, tool state). This enables richer agent behavior.
- The session ID also enables interrupt support — a subsequent request with
the same session ID while one is running triggers an interrupt.
### 2. Streaming
The agent's `run_conversation()` is synchronous and returns the full response.
For real SSE streaming, we need to emit chunks as they're generated.
**Phase 1 (MVP):** Run agent in a thread, return the complete response as
a single SSE chunk + `[DONE]`. This works with all frontends — they just see
a fast single-chunk response. Not true streaming but functional.
**Phase 2:** Add a response callback to AIAgent that emits text chunks as the
LLM generates them. The API server captures these via a queue and streams them
as SSE events. This gives real token-by-token streaming.
**Phase 3:** Stream tool execution progress too — emit tool call/result events
as the agent works, giving frontends visibility into what the agent is doing.
### 3. Tool Transparency
Two modes:
- **Opaque (default):** Frontends see only the final response. Tool calls
happen server-side and are invisible. Best for general-purpose UIs.
- **Transparent (opt-in via header):** Tool calls are emitted as OpenAI-format
tool_call/tool_result messages in the stream. Useful for agent-aware frontends.
### 4. Authentication
- Bearer token via `Authorization: Bearer <key>` header
- Token configured via `API_SERVER_KEY` env var
- Optional: allow unauthenticated local-only access (127.0.0.1 bind)
- Follows the same pattern as other platform adapters
### 5. Model Mapping
Frontends send `"model": "hermes-agent"` (or whatever). The actual LLM model
used is configured server-side in config.yaml. The API server maps any
requested model name to the configured hermes-agent model.
Optionally, allow model passthrough: if the frontend sends
`"model": "anthropic/claude-sonnet-4"`, the agent uses that model. Controlled
by a config flag.
## Configuration
```yaml
# In config.yaml
api_server:
enabled: true
port: 8642
host: "127.0.0.1" # localhost only by default
key: "your-secret-key" # or via API_SERVER_KEY env var
allow_model_override: false # let clients choose the model
max_concurrent: 5 # max simultaneous requests
```
Environment variables:
```bash
API_SERVER_ENABLED=true
API_SERVER_PORT=8642
API_SERVER_HOST=127.0.0.1
API_SERVER_KEY=your-secret-key
```
## Implementation Plan
### Phase 1: MVP (non-streaming) — PR
1. `gateway/platforms/api_server.py` — new adapter
- aiohttp.web server with endpoints:
- `POST /v1/chat/completions` — Chat Completions API (universal compat)
- `POST /v1/responses` — Responses API (server-side state, tool preservation)
- `GET /v1/models` — list available models
- `GET /health` — health check
- Bearer token auth middleware
- Non-streaming responses (run agent, return full result)
- Chat Completions: stateless, messages array is the conversation
- Responses API: server-side conversation storage via previous_response_id
- Store full internal conversation (including tool calls) keyed by response ID
- On subsequent requests, reconstruct full context from stored chain
- Frontend system prompt layered on top of hermes-agent's core prompt
2. `gateway/config.py` — add `Platform.API_SERVER` enum + config
3. `gateway/run.py` — register adapter in `_create_adapter()`
4. Tests in `tests/gateway/test_api_server.py`
### Phase 2: SSE Streaming
1. Add response streaming to both endpoints
- Chat Completions: `choices[0].delta.content` SSE format
- Responses API: semantic events (response.output_text.delta, etc.)
- Run agent in thread, collect output via callback queue
- Handle client disconnect (cancel agent)
2. Add `stream_callback` parameter to `AIAgent.run_conversation()`
### Phase 3: Enhanced Features
1. Tool call transparency mode (opt-in)
2. Model passthrough/override
3. Concurrent request limiting
4. Usage tracking / rate limiting
5. CORS headers for browser-based frontends
6. GET /v1/responses/{id} — retrieve stored response
7. DELETE /v1/responses/{id} — delete stored response
## Files Changed
| File | Change |
|------|--------|
| `gateway/platforms/api_server.py` | NEW — main adapter (~300 lines) |
| `gateway/config.py` | Add Platform.API_SERVER + config (~20 lines) |
| `gateway/run.py` | Register adapter in _create_adapter() (~10 lines) |
| `tests/gateway/test_api_server.py` | NEW — tests (~200 lines) |
| `cli-config.yaml.example` | Add api_server section |
| `README.md` | Mention API server in platform list |
## Compatibility Matrix
Once implemented, hermes-agent works as a drop-in backend for:
| Frontend | Stars | How to Connect |
|----------|-------|---------------|
| Open WebUI | 126k | Settings → Connections → Add OpenAI API, URL: `http://localhost:8642/v1` |
| NextChat | 87k | BASE_URL env var |
| LobeChat | 73k | Custom provider endpoint |
| AnythingLLM | 56k | LLM Provider → Generic OpenAI |
| Oobabooga | 42k | Already a backend, not a frontend |
| ChatBox | 39k | API Host setting |
| LibreChat | 34k | librechat.yaml custom endpoint |
| Chatbot UI | 29k | Custom API endpoint |
| Jan | 26k | Remote model config |
| AionUI | 18k | Custom API endpoint |
| HF Chat-UI | 8k | OPENAI_BASE_URL env var |
| big-AGI | 7k | Custom endpoint |

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@@ -1,705 +0,0 @@
# Streaming LLM Response Support for Hermes Agent
## Overview
Add token-by-token streaming of LLM responses across all platforms. When enabled,
users see the response typing out live instead of waiting for the full generation.
Streaming is opt-in via config, defaults to off, and all existing non-streaming
code paths remain intact as the default.
## Design Principles
1. **Feature-flagged**: `streaming.enabled: true` in config.yaml. Off by default.
When off, all existing code paths are unchanged — zero risk to current behavior.
2. **Callback-based**: A simple `stream_callback(text_delta: str)` function injected
into AIAgent. The agent doesn't know or care what the consumer does with tokens.
3. **Graceful degradation**: If the provider doesn't support streaming, or streaming
fails for any reason, silently fall back to the non-streaming path.
4. **Platform-agnostic core**: The streaming mechanism in AIAgent works the same
regardless of whether the consumer is CLI, Telegram, Discord, or the API server.
---
## Architecture
```
stream_callback(delta)
┌─────────────┐ ┌─────────────▼──────────────┐
│ LLM API │ │ queue.Queue() │
│ (stream) │───►│ thread-safe bridge between │
│ │ │ agent thread & consumer │
└─────────────┘ └─────────────┬──────────────┘
┌──────────────┼──────────────┐
│ │ │
┌─────▼─────┐ ┌─────▼─────┐ ┌─────▼─────┐
│ CLI │ │ Gateway │ │ API Server│
│ print to │ │ edit msg │ │ SSE event │
│ terminal │ │ on Tg/Dc │ │ to client │
└───────────┘ └───────────┘ └───────────┘
```
The agent runs in a thread. The callback puts tokens into a thread-safe queue.
Each consumer reads the queue in its own context (async task, main thread, etc.).
---
## Configuration
### config.yaml
```yaml
streaming:
enabled: false # Master switch. Default off.
# Per-platform overrides (optional):
# cli: true # Override for CLI only
# telegram: true # Override for Telegram only
# discord: false # Keep Discord non-streaming
# api_server: true # Override for API server
```
### Environment variables
```
HERMES_STREAMING_ENABLED=true # Master switch via env
```
### How the flag is read
- **CLI**: `load_cli_config()` reads `streaming.enabled`, sets env var. AIAgent
checks at init time.
- **Gateway**: `_run_agent()` reads config, decides whether to pass
`stream_callback` to the AIAgent constructor.
- **API server**: For Chat Completions `stream=true` requests, always uses streaming
regardless of config (the client is explicitly requesting it). For non-stream
requests, uses config.
### Precedence
1. API server: client's `stream` field overrides everything
2. Per-platform config override (e.g., `streaming.telegram: true`)
3. Master `streaming.enabled` flag
4. Default: off
---
## Implementation Plan
### Phase 1: Core streaming infrastructure in AIAgent
**File: run_agent.py**
#### 1a. Add stream_callback parameter to __init__ (~5 lines)
```python
def __init__(self, ..., stream_callback: callable = None, ...):
self.stream_callback = stream_callback
```
No other init changes. The callback is optional — when None, everything
works exactly as before.
#### 1b. Add _run_streaming_chat_completion() method (~65 lines)
New method for Chat Completions API streaming:
```python
def _run_streaming_chat_completion(self, api_kwargs: dict):
"""Stream a chat completion, emitting text tokens via stream_callback.
Returns a fake response object compatible with the non-streaming code path.
Falls back to non-streaming on any error.
"""
stream_kwargs = dict(api_kwargs)
stream_kwargs["stream"] = True
stream_kwargs["stream_options"] = {"include_usage": True}
accumulated_content = []
accumulated_tool_calls = {} # index -> {id, name, arguments}
final_usage = None
try:
stream = self.client.chat.completions.create(**stream_kwargs)
for chunk in stream:
if not chunk.choices:
# Usage-only chunk (final)
if chunk.usage:
final_usage = chunk.usage
continue
delta = chunk.choices[0].delta
# Text content — emit via callback
if delta.content:
accumulated_content.append(delta.content)
if self.stream_callback:
try:
self.stream_callback(delta.content)
except Exception:
pass
# Tool call deltas — accumulate silently
if delta.tool_calls:
for tc_delta in delta.tool_calls:
idx = tc_delta.index
if idx not in accumulated_tool_calls:
accumulated_tool_calls[idx] = {
"id": tc_delta.id or "",
"name": "", "arguments": ""
}
if tc_delta.function:
if tc_delta.function.name:
accumulated_tool_calls[idx]["name"] = tc_delta.function.name
if tc_delta.function.arguments:
accumulated_tool_calls[idx]["arguments"] += tc_delta.function.arguments
# Build fake response compatible with existing code
tool_calls = []
for idx in sorted(accumulated_tool_calls):
tc = accumulated_tool_calls[idx]
if tc["name"]:
tool_calls.append(SimpleNamespace(
id=tc["id"], type="function",
function=SimpleNamespace(name=tc["name"], arguments=tc["arguments"]),
))
return SimpleNamespace(
choices=[SimpleNamespace(
message=SimpleNamespace(
content="".join(accumulated_content) or "",
tool_calls=tool_calls or None,
role="assistant",
),
finish_reason="tool_calls" if tool_calls else "stop",
)],
usage=final_usage,
model=self.model,
)
except Exception as e:
logger.debug("Streaming failed, falling back to non-streaming: %s", e)
return self.client.chat.completions.create(**api_kwargs)
```
#### 1c. Modify _run_codex_stream() for Responses API (~10 lines)
The method already iterates the stream. Add callback emission:
```python
def _run_codex_stream(self, api_kwargs: dict):
with self.client.responses.stream(**api_kwargs) as stream:
for event in stream:
# Emit text deltas if streaming callback is set
if self.stream_callback and hasattr(event, 'type'):
if event.type == 'response.output_text.delta':
try:
self.stream_callback(event.delta)
except Exception:
pass
return stream.get_final_response()
```
#### 1d. Modify _interruptible_api_call() (~5 lines)
Add the streaming branch:
```python
def _call():
try:
if self.api_mode == "codex_responses":
result["response"] = self._run_codex_stream(api_kwargs)
elif self.stream_callback is not None:
result["response"] = self._run_streaming_chat_completion(api_kwargs)
else:
result["response"] = self.client.chat.completions.create(**api_kwargs)
except Exception as e:
result["error"] = e
```
#### 1e. Signal end-of-stream to consumers (~5 lines)
After the API call returns, signal the callback that streaming is done
so consumers can finalize (remove cursor, close SSE, etc.):
```python
# In run_conversation(), after _interruptible_api_call returns:
if self.stream_callback:
try:
self.stream_callback(None) # None = end of stream signal
except Exception:
pass
```
Consumers check: `if delta is None: finalize()`
**Tests for Phase 1:** (~150 lines)
- Test _run_streaming_chat_completion with mocked stream
- Test fallback to non-streaming on error
- Test tool_call accumulation during streaming
- Test stream_callback receives correct deltas
- Test None signal at end of stream
- Test streaming disabled when callback is None
---
### Phase 2: Gateway consumers (Telegram, Discord, etc.)
**File: gateway/run.py**
#### 2a. Read streaming config (~15 lines)
In `_run_agent()`, before creating the AIAgent:
```python
# Read streaming config
_streaming_enabled = False
try:
# Check per-platform override first
platform_key = source.platform.value if source.platform else ""
_stream_cfg = {} # loaded from config.yaml streaming section
if _stream_cfg.get(platform_key) is not None:
_streaming_enabled = bool(_stream_cfg[platform_key])
else:
_streaming_enabled = bool(_stream_cfg.get("enabled", False))
except Exception:
pass
# Env var override
if os.getenv("HERMES_STREAMING_ENABLED", "").lower() in ("true", "1", "yes"):
_streaming_enabled = True
```
#### 2b. Set up queue + callback (~15 lines)
```python
_stream_q = None
_stream_done = None
_stream_msg_id = [None] # mutable ref for the async task
if _streaming_enabled:
import queue as _q
_stream_q = _q.Queue()
_stream_done = threading.Event()
def _on_token(delta):
if delta is None:
_stream_done.set()
else:
_stream_q.put(delta)
```
Pass `stream_callback=_on_token` to the AIAgent constructor.
#### 2c. Telegram/Discord stream preview task (~50 lines)
```python
async def stream_preview():
"""Progressively edit a message with streaming tokens."""
if not _stream_q:
return
adapter = self.adapters.get(source.platform)
if not adapter:
return
accumulated = []
token_count = 0
last_edit = 0.0
MIN_TOKENS = 20 # Don't show until enough context
EDIT_INTERVAL = 1.5 # Respect Telegram rate limits
try:
while not _stream_done.is_set():
try:
chunk = _stream_q.get(timeout=0.1)
accumulated.append(chunk)
token_count += 1
except queue.Empty:
continue
now = time.monotonic()
if token_count >= MIN_TOKENS and (now - last_edit) >= EDIT_INTERVAL:
preview = "".join(accumulated) + ""
if _stream_msg_id[0] is None:
r = await adapter.send(
chat_id=source.chat_id,
content=preview,
metadata=_thread_metadata,
)
if r.success and r.message_id:
_stream_msg_id[0] = r.message_id
else:
await adapter.edit_message(
chat_id=source.chat_id,
message_id=_stream_msg_id[0],
content=preview,
)
last_edit = now
# Drain remaining tokens
while not _stream_q.empty():
accumulated.append(_stream_q.get_nowait())
# Final edit — remove cursor, show complete text
if _stream_msg_id[0] and accumulated:
await adapter.edit_message(
chat_id=source.chat_id,
message_id=_stream_msg_id[0],
content="".join(accumulated),
)
except asyncio.CancelledError:
# Clean up on cancel
if _stream_msg_id[0] and accumulated:
try:
await adapter.edit_message(
chat_id=source.chat_id,
message_id=_stream_msg_id[0],
content="".join(accumulated),
)
except Exception:
pass
except Exception as e:
logger.debug("stream_preview error: %s", e)
```
#### 2d. Skip final send if already streamed (~10 lines)
In `_process_message_background()` (base.py), after getting the response,
if streaming was active and `_stream_msg_id[0]` is set, the final response
was already delivered via progressive edits. Skip the normal `self.send()`
call to avoid duplicating the message.
This is the most delicate integration point — we need to communicate from
the gateway's `_run_agent` back to the base adapter's response sender that
the response was already delivered. Options:
- **Option A**: Return a special marker in the result dict:
`result["_streamed_msg_id"] = _stream_msg_id[0]`
The base adapter checks this and skips `send()`.
- **Option B**: Edit the already-sent message with the final response
(which may differ slightly from accumulated tokens due to think-block
stripping, etc.) and don't send a new one.
- **Option C**: The stream preview task handles the FULL final response
(including any post-processing), and the handler returns None to skip
the normal send path.
Recommended: **Option A** — cleanest separation. The result dict already
carries metadata; adding one more field is low-risk.
**Platform-specific considerations:**
| Platform | Edit support | Rate limits | Streaming approach |
|----------|-------------|-------------|-------------------|
| Telegram | ✅ edit_message_text | ~20 edits/min | Edit every 1.5s |
| Discord | ✅ message.edit | 5 edits/5s per message | Edit every 1.2s |
| Slack | ✅ chat.update | Tier 3 (~50/min) | Edit every 1.5s |
| WhatsApp | ❌ no edit support | N/A | Skip streaming, use normal path |
| HomeAssistant | ❌ no edit | N/A | Skip streaming |
| API Server | ✅ SSE native | No limit | Real SSE events |
WhatsApp and HomeAssistant fall back to non-streaming automatically because
they don't support message editing.
**Tests for Phase 2:** (~100 lines)
- Test stream_preview sends/edits correctly
- Test skip-final-send when streaming delivered
- Test WhatsApp/HA graceful fallback
- Test streaming disabled per-platform config
- Test thread_id metadata forwarded in stream messages
---
### Phase 3: CLI streaming
**File: cli.py**
#### 3a. Set up callback in the CLI chat loop (~20 lines)
In `_chat_once()` or wherever the agent is invoked:
```python
if streaming_enabled:
_stream_q = queue.Queue()
_stream_done = threading.Event()
def _cli_stream_callback(delta):
if delta is None:
_stream_done.set()
else:
_stream_q.put(delta)
agent.stream_callback = _cli_stream_callback
```
#### 3b. Token display thread/task (~30 lines)
Start a thread that reads the queue and prints tokens:
```python
def _stream_display():
"""Print tokens to terminal as they arrive."""
first_token = True
while not _stream_done.is_set():
try:
delta = _stream_q.get(timeout=0.1)
except queue.Empty:
continue
if first_token:
# Print response box top border
_cprint(f"\n{top}")
first_token = False
sys.stdout.write(delta)
sys.stdout.flush()
# Drain remaining
while not _stream_q.empty():
sys.stdout.write(_stream_q.get_nowait())
sys.stdout.flush()
# Print bottom border
_cprint(f"\n\n{bot}")
```
**Integration challenge: prompt_toolkit**
The CLI uses prompt_toolkit which controls the terminal. Writing directly
to stdout while prompt_toolkit is active can cause display corruption.
The existing KawaiiSpinner already solves this by using prompt_toolkit's
`patch_stdout` context. The streaming display would need to do the same.
Alternative: use `_cprint()` for each token chunk (routes through
prompt_toolkit's renderer). But this might be slow for individual tokens.
Recommended approach: accumulate tokens in small batches (e.g., every 50ms)
and `_cprint()` the batch. This balances display responsiveness with
prompt_toolkit compatibility.
**Tests for Phase 3:** (~50 lines)
- Test CLI streaming callback setup
- Test response box borders with streaming
- Test fallback when streaming disabled
---
### Phase 4: API Server real streaming
**File: gateway/platforms/api_server.py**
Replace the pseudo-streaming `_write_sse_chat_completion()` with real
token-by-token SSE when the agent supports it.
#### 4a. Wire streaming callback for stream=true requests (~20 lines)
```python
if stream:
_stream_q = queue.Queue()
def _api_stream_callback(delta):
_stream_q.put(delta) # None = done
# Pass callback to _run_agent
result, usage = await self._run_agent(
..., stream_callback=_api_stream_callback,
)
```
#### 4b. Real SSE writer (~40 lines)
```python
async def _write_real_sse(self, request, completion_id, model, stream_q):
response = web.StreamResponse(
headers={"Content-Type": "text/event-stream", "Cache-Control": "no-cache"},
)
await response.prepare(request)
# Role chunk
await response.write(...)
# Stream content chunks as they arrive
while True:
try:
delta = await asyncio.get_event_loop().run_in_executor(
None, lambda: stream_q.get(timeout=0.1)
)
except queue.Empty:
continue
if delta is None: # End of stream
break
chunk = {"id": completion_id, "object": "chat.completion.chunk", ...
"choices": [{"delta": {"content": delta}, ...}]}
await response.write(f"data: {json.dumps(chunk)}\n\n".encode())
# Finish + [DONE]
await response.write(...)
await response.write(b"data: [DONE]\n\n")
return response
```
**Challenge: concurrent execution**
The agent runs in a thread executor. SSE writing happens in the async event
loop. The queue bridges them. But `_run_agent()` currently awaits the full
result before returning. For real streaming, we need to start the agent in
the background and stream tokens while it runs:
```python
# Start agent in background
agent_task = asyncio.create_task(self._run_agent_async(...))
# Stream tokens while agent runs
await self._write_real_sse(request, ..., stream_q)
# Agent is done by now (stream_q received None)
result, usage = await agent_task
```
This requires splitting `_run_agent` into an async version that doesn't
block waiting for the result, or running it in a separate task.
**Responses API SSE format:**
For `/v1/responses` with `stream=true`, the SSE events are different:
```
event: response.output_text.delta
data: {"type":"response.output_text.delta","delta":"Hello"}
event: response.completed
data: {"type":"response.completed","response":{...}}
```
This needs a separate SSE writer that emits Responses API format events.
**Tests for Phase 4:** (~80 lines)
- Test real SSE streaming with mocked agent
- Test SSE event format (Chat Completions vs Responses)
- Test client disconnect during streaming
- Test fallback to pseudo-streaming when callback not available
---
## Integration Issues & Edge Cases
### 1. Tool calls during streaming
When the model returns tool calls instead of text, no text tokens are emitted.
The stream_callback is simply never called with text. After tools execute, the
next API call may produce the final text response — streaming picks up again.
The stream preview task needs to handle this: if no tokens arrive during a
tool-call round, don't send/edit any message. The tool progress messages
continue working as before.
### 2. Duplicate messages
The biggest risk: the agent sends the final response normally (via the
existing send path) AND the stream preview already showed it. The user
sees the response twice.
Prevention: when streaming is active and tokens were delivered, the final
response send must be suppressed. The `result["_streamed_msg_id"]` marker
tells the base adapter to skip its normal send.
### 3. Response post-processing
The final response may differ from the accumulated streamed tokens:
- Think block stripping (`<think>...</think>` removed)
- Trailing whitespace cleanup
- Tool result media tag appending
The stream preview shows raw tokens. The final edit should use the
post-processed version. This means the final edit (removing the cursor)
should use the post-processed `final_response`, not just the accumulated
stream text.
### 4. Context compression during streaming
If the agent triggers context compression mid-conversation, the streaming
tokens from BEFORE compression are from a different context than those
after. This isn't a problem in practice — compression happens between
API calls, not during streaming.
### 5. Interrupt during streaming
User sends a new message while streaming → interrupt. The stream is killed
(HTTP connection closed), accumulated tokens are shown as-is (no cursor),
and the interrupt message is processed normally. This is already handled by
`_interruptible_api_call` closing the client.
### 6. Multi-model / fallback
If the primary model fails and the agent falls back to a different model,
streaming state resets. The fallback call may or may not support streaming.
The graceful fallback in `_run_streaming_chat_completion` handles this.
### 7. Rate limiting on edits
Telegram: ~20 edits/minute (~1 every 3 seconds to be safe)
Discord: 5 edits per 5 seconds per message
Slack: ~50 API calls/minute
The 1.5s edit interval is conservative enough for all platforms. If we get
429 rate limit errors on edits, just skip that edit cycle and try next time.
---
## Files Changed Summary
| File | Phase | Changes |
|------|-------|---------|
| `run_agent.py` | 1 | +stream_callback param, +_run_streaming_chat_completion(), modify _run_codex_stream(), modify _interruptible_api_call() |
| `gateway/run.py` | 2 | +streaming config reader, +queue/callback setup, +stream_preview task, +skip-final-send logic |
| `gateway/platforms/base.py` | 2 | +check for _streamed_msg_id in response handler |
| `cli.py` | 3 | +streaming setup, +token display, +response box integration |
| `gateway/platforms/api_server.py` | 4 | +real SSE writer, +streaming callback wiring |
| `hermes_cli/config.py` | 1 | +streaming config defaults |
| `cli-config.yaml.example` | 1 | +streaming section |
| `tests/test_streaming.py` | 1-4 | NEW — ~380 lines of tests |
**Total new code**: ~500 lines across all phases
**Total test code**: ~380 lines
---
## Rollout Plan
1. **Phase 1** (core): Merge to main. Streaming disabled by default.
Zero impact on existing behavior. Can be tested with env var.
2. **Phase 2** (gateway): Merge to main. Test on Telegram manually.
Enable per-platform: `streaming.telegram: true` in config.
3. **Phase 3** (CLI): Merge to main. Test in terminal.
Enable: `streaming.cli: true` or `streaming.enabled: true`.
4. **Phase 4** (API server): Merge to main. Test with Open WebUI.
Auto-enabled when client sends `stream: true`.
Each phase is independently mergeable and testable. Streaming stays
off by default throughout. Once all phases are stable, consider
changing the default to enabled.
---
## Config Reference (final state)
```yaml
# config.yaml
streaming:
enabled: false # Master switch (default: off)
cli: true # Per-platform override
telegram: true
discord: true
slack: true
api_server: true # API server always streams when client requests it
edit_interval: 1.5 # Seconds between message edits (default: 1.5)
min_tokens: 20 # Tokens before first display (default: 20)
```
```bash
# Environment variable override
HERMES_STREAMING_ENABLED=true
```

608
AGENTS.md
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@@ -1,608 +0,0 @@
# Hermes Agent - Development Guide
Instructions for AI coding assistants and developers working on the hermes-agent codebase.
## Development Environment
```bash
source venv/bin/activate # ALWAYS activate before running Python
```
## Project Structure
```
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`
├── environments/ # RL training environments (Atropos)
├── tests/ # Pytest suite
└── web/ # Vite + React web dashboard
```
**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys)
## File Dependency Chain
```
hermes_agent/tools/registry.py (no deps — imported by all tool files)
hermes_agent/tools/*.py (each calls registry.register() at import time)
hermes_agent/tools/dispatch.py (imports registry + triggers tool discovery)
hermes_agent/agent/loop.py, hermes_agent/cli/repl.py, environments/
```
---
## AIAgent Class (hermes_agent/agent/loop.py)
```python
class AIAgent:
def __init__(self,
model: str = "anthropic/claude-opus-4.6",
max_iterations: int = 90,
enabled_toolsets: list = None,
disabled_toolsets: list = None,
quiet_mode: bool = False,
save_trajectories: bool = False,
platform: str = None, # "cli", "telegram", etc.
session_id: str = None,
skip_context_files: bool = False,
skip_memory: bool = False,
# ... plus provider, api_mode, callbacks, routing params
): ...
def chat(self, message: str) -> str:
"""Simple interface — returns final response string."""
def run_conversation(self, user_message: str, system_message: str = None,
conversation_history: list = None, task_id: str = None) -> dict:
"""Full interface — returns dict with final_response + messages."""
```
### Agent Loop
The core loop is inside `run_conversation()` — entirely synchronous:
```python
while api_call_count < self.max_iterations and self.iteration_budget.remaining > 0:
response = client.chat.completions.create(model=model, messages=messages, tools=tool_schemas)
if response.tool_calls:
for tool_call in response.tool_calls:
result = handle_function_call(tool_call.name, tool_call.args, task_id)
messages.append(tool_result_message(result))
api_call_count += 1
else:
return response.content
```
Messages follow OpenAI format: `{"role": "system/user/assistant/tool", ...}`. Reasoning content is stored in `assistant_msg["reasoning"]`.
---
## CLI Architecture (hermes_agent/cli/repl.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
- `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
### Slash Command Registry (`hermes_cli/commands.py`)
All slash commands are defined in a central `COMMAND_REGISTRY` list of `CommandDef` objects. Every downstream consumer derives from this registry automatically:
- **CLI** — `process_command()` resolves aliases via `resolve_command()`, dispatches on canonical name
- **Gateway** — `GATEWAY_KNOWN_COMMANDS` frozenset for hook emission, `resolve_command()` for dispatch
- **Gateway help** — `gateway_help_lines()` generates `/help` output
- **Telegram** — `telegram_bot_commands()` generates the BotCommand menu
- **Slack** — `slack_subcommand_map()` generates `/hermes` subcommand routing
- **Autocomplete** — `COMMANDS` flat dict feeds `SlashCommandCompleter`
- **CLI help** — `COMMANDS_BY_CATEGORY` dict feeds `show_help()`
### Adding a Slash Command
1. Add a `CommandDef` entry to `COMMAND_REGISTRY` in `hermes_cli/commands.py`:
```python
CommandDef("mycommand", "Description of what it does", "Session",
aliases=("mc",), args_hint="[arg]"),
```
2. Add handler in `HermesCLI.process_command()` in `cli.py`:
```python
elif canonical == "mycommand":
self._handle_mycommand(cmd_original)
```
3. If the command is available in the gateway, add a handler in `gateway/run.py`:
```python
if canonical == "mycommand":
return await self._handle_mycommand(event)
```
4. For persistent settings, use `save_config_value()` in `cli.py`
**CommandDef fields:**
- `name` — canonical name without slash (e.g. `"background"`)
- `description` — human-readable description
- `category` — one of `"Session"`, `"Configuration"`, `"Tools & Skills"`, `"Info"`, `"Exit"`
- `aliases` — tuple of alternative names (e.g. `("bg",)`)
- `args_hint` — argument placeholder shown in help (e.g. `"<prompt>"`, `"[name]"`)
- `cli_only` — only available in the interactive CLI
- `gateway_only` — only available in messaging platforms
- `gateway_config_gate` — config dotpath (e.g. `"display.tool_progress_command"`); when set on a `cli_only` command, the command becomes available in the gateway if the config value is truthy. `GATEWAY_KNOWN_COMMANDS` always includes config-gated commands so the gateway can dispatch them; help/menus only show them when the gate is open.
**Adding an alias** requires only adding it to the `aliases` tuple on the existing `CommandDef`. No other file changes needed — dispatch, help text, Telegram menu, Slack mapping, and autocomplete all update automatically.
---
## 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**:
**1. Create `tools/your_tool.py`:**
```python
import json, os
from tools.registry import registry
def check_requirements() -> bool:
return bool(os.getenv("EXAMPLE_API_KEY"))
def example_tool(param: str, task_id: str = None) -> str:
return json.dumps({"success": True, "data": "..."})
registry.register(
name="example_tool",
toolset="example",
schema={"name": "example_tool", "description": "...", "parameters": {...}},
handler=lambda args, **kw: example_tool(param=args.get("param", ""), task_id=kw.get("task_id")),
check_fn=check_requirements,
requires_env=["EXAMPLE_API_KEY"],
)
```
**2. Add to `toolsets.py`** — either `_HERMES_CORE_TOOLS` (all platforms) or a new toolset.
Auto-discovery: any `hermes_agent/tools/*.py` file with a top-level `registry.register()` call is imported automatically — no manual import list to maintain.
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.
---
## Adding Configuration
### config.yaml options:
1. Add to `DEFAULT_CONFIG` in `hermes_cli/config.py`
2. Bump `_config_version` (currently 5) to trigger migration for existing users
### .env variables:
1. Add to `OPTIONAL_ENV_VARS` in `hermes_cli/config.py` with metadata:
```python
"NEW_API_KEY": {
"description": "What it's for",
"prompt": "Display name",
"url": "https://...",
"password": True,
"category": "tool", # provider, tool, messaging, setting
},
```
### Config loaders (two separate systems):
| Loader | Used by | Location |
|--------|---------|----------|
| `load_cli_config()` | CLI mode | `cli.py` |
| `load_config()` | `hermes tools`, `hermes setup` | `hermes_cli/config.py` |
| Direct YAML load | Gateway | `gateway/run.py` |
---
## Skin/Theme System
The skin engine (`hermes_cli/skin_engine.py`) provides data-driven CLI visual customization. Skins are **pure data** — no code changes needed to add a new skin.
### Architecture
```
hermes_cli/skin_engine.py # SkinConfig dataclass, built-in skins, YAML loader
~/.hermes/skins/*.yaml # User-installed custom skins (drop-in)
```
- `init_skin_from_config()` — called at CLI startup, reads `display.skin` from config
- `get_active_skin()` — returns cached `SkinConfig` for the current skin
- `set_active_skin(name)` — switches skin at runtime (used by `/skin` command)
- `load_skin(name)` — loads from user skins first, then built-ins, then falls back to default
- Missing skin values inherit from the `default` skin automatically
### What skins customize
| Element | Skin Key | Used By |
|---------|----------|---------|
| Banner panel border | `colors.banner_border` | `banner.py` |
| Banner panel title | `colors.banner_title` | `banner.py` |
| Banner section headers | `colors.banner_accent` | `banner.py` |
| Banner dim text | `colors.banner_dim` | `banner.py` |
| Banner body text | `colors.banner_text` | `banner.py` |
| Response box border | `colors.response_border` | `cli.py` |
| Spinner faces (waiting) | `spinner.waiting_faces` | `display.py` |
| Spinner faces (thinking) | `spinner.thinking_faces` | `display.py` |
| Spinner verbs | `spinner.thinking_verbs` | `display.py` |
| Spinner wings (optional) | `spinner.wings` | `display.py` |
| Tool output prefix | `tool_prefix` | `display.py` |
| Per-tool emojis | `tool_emojis` | `display.py``get_tool_emoji()` |
| Agent name | `branding.agent_name` | `banner.py`, `cli.py` |
| Welcome message | `branding.welcome` | `cli.py` |
| Response box label | `branding.response_label` | `cli.py` |
| Prompt symbol | `branding.prompt_symbol` | `cli.py` |
### Built-in skins
- `default` — Classic Hermes gold/kawaii (the current look)
- `ares` — Crimson/bronze war-god theme with custom spinner wings
- `mono` — Clean grayscale monochrome
- `slate` — Cool blue developer-focused theme
### Adding a built-in skin
Add to `_BUILTIN_SKINS` dict in `hermes_cli/skin_engine.py`:
```python
"mytheme": {
"name": "mytheme",
"description": "Short description",
"colors": { ... },
"spinner": { ... },
"branding": { ... },
"tool_prefix": "",
},
```
### User skins (YAML)
Users create `~/.hermes/skins/<name>.yaml`:
```yaml
name: cyberpunk
description: Neon-soaked terminal theme
colors:
banner_border: "#FF00FF"
banner_title: "#00FFFF"
banner_accent: "#FF1493"
spinner:
thinking_verbs: ["jacking in", "decrypting", "uploading"]
wings:
- ["⟨⚡", "⚡⟩"]
branding:
agent_name: "Cyber Agent"
response_label: " ⚡ Cyber "
tool_prefix: "▏"
```
Activate with `/skin cyberpunk` or `display.skin: cyberpunk` in config.yaml.
---
## Important Policies
### Prompt Caching Must Not Break
Hermes-Agent ensures caching remains valid throughout a conversation. **Do NOT implement changes that would:**
- Alter past context mid-conversation
- Change toolsets mid-conversation
- Reload memories or rebuild system prompts mid-conversation
Cache-breaking forces dramatically higher costs. The ONLY time we alter context is during context compression.
### Working Directory Behavior
- **CLI**: Uses current directory (`.``os.getcwd()`)
- **Messaging**: Uses `MESSAGING_CWD` env var (default: home directory)
### 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`
in config.yaml (or `HERMES_BACKGROUND_NOTIFICATIONS` env var):
- `all` — running-output updates + final message (default)
- `result` — only the final completion message
- `error` — only the final message when exit code != 0
- `off` — no watcher messages at all
---
## 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`
`_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.
### 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
```
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.

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@@ -1,660 +0,0 @@
# Contributing to Hermes Agent
Thank you for contributing to Hermes Agent! This guide covers everything you need: setting up your dev environment, understanding the architecture, deciding what to build, and getting your PR merged.
---
## Contribution Priorities
We value contributions in this order:
1. **Bug fixes** — crashes, incorrect behavior, data loss. Always top priority.
2. **Cross-platform compatibility** — Windows, macOS, different Linux distros, different terminal emulators. We want Hermes to work everywhere.
3. **Security hardening** — shell injection, prompt injection, path traversal, privilege escalation. See [Security](#security-considerations).
4. **Performance and robustness** — retry logic, error handling, graceful degradation.
5. **New skills** — but only broadly useful ones. See [Should it be a Skill or a Tool?](#should-it-be-a-skill-or-a-tool)
6. **New tools** — rarely needed. Most capabilities should be skills. See below.
7. **Documentation** — fixes, clarifications, new examples.
---
## Should it be a Skill or a Tool?
This is the most common question for new contributors. The answer is almost always **skill**.
### Make it a Skill when:
- The capability can be expressed as instructions + shell commands + existing tools
- It wraps an external CLI or API that the agent can call via `terminal` or `web_extract`
- It doesn't need custom Python integration or API key management baked into the agent
- Examples: arXiv search, git workflows, Docker management, PDF processing, email via CLI tools
### Make it a Tool when:
- It requires end-to-end integration with API keys, auth flows, or multi-component configuration managed by the agent harness
- It needs custom processing logic that must execute precisely every time (not "best effort" from LLM interpretation)
- It handles binary data, streaming, or real-time events that can't go through the terminal
- Examples: browser automation (Browserbase session management), TTS (audio encoding + platform delivery), vision analysis (base64 image handling)
### Should the Skill be bundled?
Bundled skills (in `skills/`) ship with every Hermes install. They should be **broadly useful to most users**:
- Document handling, web research, common dev workflows, system administration
- Used regularly by a wide range of people
If your skill is official and useful but not universally needed (e.g., a paid service integration, a heavyweight dependency), put it in **`optional-skills/`** — it ships with the repo but isn't activated by default. Users can discover it via `hermes skills browse` (labeled "official") and install it with `hermes skills install` (no third-party warning, builtin trust).
If your skill is specialized, community-contributed, or niche, it's better suited for a **Skills Hub** — upload it to a skills registry and share it in the [Nous Research Discord](https://discord.gg/NousResearch). Users can install it with `hermes skills install`.
---
## Development Setup
### Prerequisites
| Requirement | Notes |
|-------------|-------|
| **Git** | With `--recurse-submodules` support |
| **Python 3.11+** | uv will install it if missing |
| **uv** | Fast Python package manager ([install](https://docs.astral.sh/uv/)) |
| **Node.js 18+** | Optional — needed for browser tools and WhatsApp bridge |
### Clone and install
```bash
git clone --recurse-submodules https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
# Create venv with Python 3.11
uv venv venv --python 3.11
export VIRTUAL_ENV="$(pwd)/venv"
# Install with all extras (messaging, cron, CLI menus, dev tools)
uv pip install -e ".[all,dev]"
# Optional: RL training submodule
# git submodule update --init tinker-atropos && uv pip install -e "./tinker-atropos"
# Optional: browser tools
npm install
```
### Configure for development
```bash
mkdir -p ~/.hermes/{cron,sessions,logs,memories,skills}
cp cli-config.yaml.example ~/.hermes/config.yaml
touch ~/.hermes/.env
# Add at minimum an LLM provider key:
echo 'OPENROUTER_API_KEY=sk-or-v1-your-key' >> ~/.hermes/.env
```
### Run
```bash
# Symlink for global access
mkdir -p ~/.local/bin
ln -sf "$(pwd)/venv/bin/hermes" ~/.local/bin/hermes
# Verify
hermes doctor
hermes chat -q "Hello"
```
### Run tests
```bash
pytest tests/ -v
```
---
## Project Structure
```
hermes-agent/
├── run_agent.py # AIAgent class — core conversation loop, tool dispatch, session persistence
├── cli.py # HermesCLI class — interactive TUI, prompt_toolkit integration
├── model_tools.py # Tool orchestration (thin layer over tools/registry.py)
├── toolsets.py # Tool groupings and presets (hermes-cli, hermes-telegram, etc.)
├── hermes_state.py # SQLite session database with FTS5 full-text search, session titles
├── batch_runner.py # Parallel batch processing for trajectory generation
├── agent/ # Agent internals (extracted modules)
│ ├── prompt_builder.py # System prompt assembly (identity, skills, context files, memory)
│ ├── context_compressor.py # Auto-summarization when approaching context limits
│ ├── auxiliary_client.py # Resolves auxiliary OpenAI clients (summarization, vision)
│ ├── display.py # KawaiiSpinner, tool progress formatting
│ ├── model_metadata.py # Model context lengths, token estimation
│ └── trajectory.py # Trajectory saving helpers
├── hermes_cli/ # CLI command implementations
│ ├── main.py # Entry point, argument parsing, command dispatch
│ ├── config.py # Config management, migration, env var definitions
│ ├── setup.py # Interactive setup wizard
│ ├── auth.py # Provider resolution, OAuth, Nous Portal
│ ├── models.py # OpenRouter model selection lists
│ ├── banner.py # Welcome banner, ASCII art
│ ├── commands.py # Central slash command registry (CommandDef), autocomplete, gateway helpers
│ ├── callbacks.py # Interactive callbacks (clarify, sudo, approval)
│ ├── doctor.py # Diagnostics
│ ├── skills_hub.py # Skills Hub CLI + /skills slash command
│ └── skin_engine.py # Skin/theme engine — data-driven CLI visual customization
├── tools/ # Tool implementations (self-registering)
│ ├── registry.py # Central tool registry (schemas, handlers, dispatch)
│ ├── approval.py # Dangerous command detection + per-session approval
│ ├── terminal_tool.py # Terminal orchestration (sudo, env lifecycle, backends)
│ ├── file_operations.py # read_file, write_file, search, patch, etc.
│ ├── web_tools.py # web_search, web_extract (Parallel/Firecrawl + Gemini summarization)
│ ├── vision_tools.py # Image analysis via multimodal models
│ ├── delegate_tool.py # Subagent spawning and parallel task execution
│ ├── code_execution_tool.py # Sandboxed Python with RPC tool access
│ ├── session_search_tool.py # Search past conversations with FTS5 + summarization
│ ├── cronjob_tools.py # Scheduled task management
│ ├── skill_tools.py # Skill search, load, manage
│ └── environments/ # Terminal execution backends
│ ├── base.py # BaseEnvironment ABC
│ ├── local.py, docker.py, ssh.py, singularity.py, modal.py, daytona.py
├── gateway/ # Messaging gateway
│ ├── run.py # GatewayRunner — platform lifecycle, message routing, cron
│ ├── config.py # Platform configuration resolution
│ ├── session.py # Session store, context prompts, reset policies
│ └── platforms/ # Platform adapters
│ ├── telegram.py, discord_adapter.py, slack.py, whatsapp.py
├── scripts/ # Installer and bridge scripts
│ ├── install.sh # Linux/macOS installer
│ ├── install.ps1 # Windows PowerShell installer
│ └── whatsapp-bridge/ # Node.js WhatsApp bridge (Baileys)
├── skills/ # Bundled skills (copied to ~/.hermes/skills/ on install)
├── optional-skills/ # Official optional skills (discoverable via hub, not activated by default)
├── environments/ # RL training environments (Atropos integration)
├── tests/ # Test suite
├── website/ # Documentation site (hermes-agent.nousresearch.com)
├── cli-config.yaml.example # Example configuration (copied to ~/.hermes/config.yaml)
└── AGENTS.md # Development guide for AI coding assistants
```
### User configuration (stored in `~/.hermes/`)
| Path | Purpose |
|------|---------|
| `~/.hermes/config.yaml` | Settings (model, terminal, toolsets, compression, etc.) |
| `~/.hermes/.env` | API keys and secrets |
| `~/.hermes/auth.json` | OAuth credentials (Nous Portal) |
| `~/.hermes/skills/` | All active skills (bundled + hub-installed + agent-created) |
| `~/.hermes/memories/` | Persistent memory (MEMORY.md, USER.md) |
| `~/.hermes/state.db` | SQLite session database |
| `~/.hermes/sessions/` | JSON session logs |
| `~/.hermes/cron/` | Scheduled job data |
| `~/.hermes/whatsapp/session/` | WhatsApp bridge credentials |
---
## Architecture Overview
### Core Loop
```
User message → AIAgent._run_agent_loop()
├── Build system prompt (prompt_builder.py)
├── Build API kwargs (model, messages, tools, reasoning config)
├── Call LLM (OpenAI-compatible API)
├── If tool_calls in response:
│ ├── Execute each tool via registry dispatch
│ ├── Add tool results to conversation
│ └── Loop back to LLM call
├── If text response:
│ ├── Persist session to DB
│ └── Return final_response
└── Context compression if approaching token limit
```
### Key Design Patterns
- **Self-registering tools**: Each tool file calls `registry.register()` at import time. `model_tools.py` triggers discovery by importing all tool modules.
- **Toolset grouping**: Tools are grouped into toolsets (`web`, `terminal`, `file`, `browser`, etc.) that can be enabled/disabled per platform.
- **Session persistence**: All conversations are stored in SQLite (`hermes_state.py`) with full-text search and unique session titles. JSON logs go to `~/.hermes/sessions/`.
- **Ephemeral injection**: System prompts and prefill messages are injected at API call time, never persisted to the database or logs.
- **Provider abstraction**: The agent works with any OpenAI-compatible API. Provider resolution happens at init time (Nous Portal OAuth, OpenRouter API key, or custom endpoint).
- **Provider routing**: When using OpenRouter, `provider_routing` in config.yaml controls provider selection (sort by throughput/latency/price, allow/ignore specific providers, data retention policies). These are injected as `extra_body.provider` in API requests.
---
## Code Style
- **PEP 8** with practical exceptions (we don't enforce strict line length)
- **Comments**: Only when explaining non-obvious intent, trade-offs, or API quirks. Don't narrate what the code does — `# increment counter` adds nothing
- **Error handling**: Catch specific exceptions. Log with `logger.warning()`/`logger.error()` — use `exc_info=True` for unexpected errors so stack traces appear in logs
- **Cross-platform**: Never assume Unix. See [Cross-Platform Compatibility](#cross-platform-compatibility)
---
## Adding a New Tool
Before writing a tool, ask: [should this be a skill instead?](#should-it-be-a-skill-or-a-tool)
Tools self-register with the central registry. Each tool file co-locates its schema, handler, and registration:
```python
"""my_tool — Brief description of what this tool does."""
import json
from tools.registry import registry
def my_tool(param1: str, param2: int = 10, **kwargs) -> str:
"""Handler. Returns a string result (often JSON)."""
result = do_work(param1, param2)
return json.dumps(result)
MY_TOOL_SCHEMA = {
"type": "function",
"function": {
"name": "my_tool",
"description": "What this tool does and when the agent should use it.",
"parameters": {
"type": "object",
"properties": {
"param1": {"type": "string", "description": "What param1 is"},
"param2": {"type": "integer", "description": "What param2 is", "default": 10},
},
"required": ["param1"],
},
},
}
def _check_requirements() -> bool:
"""Return True if this tool's dependencies are available."""
return True
registry.register(
name="my_tool",
toolset="my_toolset",
schema=MY_TOOL_SCHEMA,
handler=lambda args, **kw: my_tool(**args, **kw),
check_fn=_check_requirements,
)
```
Then add the import to `model_tools.py` in the `_modules` list:
```python
_modules = [
# ... existing modules ...
"tools.my_tool",
]
```
If it's a new toolset, add it to `toolsets.py` and to the relevant platform presets.
---
## Adding a Skill
Bundled skills live in `skills/` organized by category. Official optional skills use the same structure in `optional-skills/`:
```
skills/
├── research/
│ └── arxiv/
│ ├── SKILL.md # Required: main instructions
│ └── scripts/ # Optional: helper scripts
│ └── search_arxiv.py
├── productivity/
│ └── ocr-and-documents/
│ ├── SKILL.md
│ ├── scripts/
│ └── references/
└── ...
```
### SKILL.md format
```markdown
---
name: my-skill
description: Brief description (shown in skill search results)
version: 1.0.0
author: Your Name
license: MIT
platforms: [macos, linux] # Optional — restrict to specific OS platforms
# Valid: macos, linux, windows
# Omit to load on all platforms (default)
required_environment_variables: # Optional — secure setup-on-load metadata
- name: MY_API_KEY
prompt: API key
help: Where to get it
required_for: full functionality
prerequisites: # Optional legacy runtime requirements
env_vars: [MY_API_KEY] # Backward-compatible alias for required env vars
commands: [curl, jq] # Advisory only; does not hide the skill
metadata:
hermes:
tags: [Category, Subcategory, Keywords]
related_skills: [other-skill-name]
fallback_for_toolsets: [web] # Optional — show only when toolset is unavailable
requires_toolsets: [terminal] # Optional — show only when toolset is available
---
# Skill Title
Brief intro.
## When to Use
Trigger conditions — when should the agent load this skill?
## Quick Reference
Table of common commands or API calls.
## Procedure
Step-by-step instructions the agent follows.
## Pitfalls
Known failure modes and how to handle them.
## Verification
How the agent confirms it worked.
```
### Platform-specific skills
Skills can declare which OS platforms they support via the `platforms` frontmatter field. Skills with this field are automatically hidden from the system prompt, `skills_list()`, and slash commands on incompatible platforms.
```yaml
platforms: [macos] # macOS only (e.g., iMessage, Apple Reminders)
platforms: [macos, linux] # macOS and Linux
platforms: [windows] # Windows only
```
If the field is omitted or empty, the skill loads on all platforms (backward compatible). See `skills/apple/` for examples of macOS-only skills.
### Conditional skill activation
Skills can declare conditions that control when they appear in the system prompt, based on which tools and toolsets are available in the current session. This is primarily used for **fallback skills** — alternatives that should only be shown when a primary tool is unavailable.
Four fields are supported under `metadata.hermes`:
```yaml
metadata:
hermes:
fallback_for_toolsets: [web] # Show ONLY when these toolsets are unavailable
requires_toolsets: [terminal] # Show ONLY when these toolsets are available
fallback_for_tools: [web_search] # Show ONLY when these specific tools are unavailable
requires_tools: [terminal] # Show ONLY when these specific tools are available
```
**Semantics:**
- `fallback_for_*`: The skill is a backup. It is **hidden** when the listed tools/toolsets are available, and **shown** when they are unavailable. Use this for free alternatives to premium tools.
- `requires_*`: The skill needs certain tools to function. It is **hidden** when the listed tools/toolsets are unavailable. Use this for skills that depend on specific capabilities (e.g., a skill that only makes sense with terminal access).
- If both are specified, both conditions must be satisfied for the skill to appear.
- If neither is specified, the skill is always shown (backward compatible).
**Examples:**
```yaml
# DuckDuckGo search — shown when Firecrawl (web toolset) is unavailable
metadata:
hermes:
fallback_for_toolsets: [web]
# Smart home skill — only useful when terminal is available
metadata:
hermes:
requires_toolsets: [terminal]
# Local browser fallback — shown when Browserbase is unavailable
metadata:
hermes:
fallback_for_toolsets: [browser]
```
The filtering happens at prompt build time in `agent/prompt_builder.py`. The `build_skills_system_prompt()` function receives the set of available tools and toolsets from the agent and uses `_skill_should_show()` to evaluate each skill's conditions.
### Skill setup metadata
Skills can declare secure setup-on-load metadata via the `required_environment_variables` frontmatter field. Missing values do not hide the skill from discovery; they trigger a CLI-only secure prompt when the skill is actually loaded.
```yaml
required_environment_variables:
- name: TENOR_API_KEY
prompt: Tenor API key
help: Get a key from https://developers.google.com/tenor
required_for: full functionality
```
The user may skip setup and keep loading the skill. Hermes only exposes metadata (`stored_as`, `skipped`, `validated`) to the model — never the secret value.
Legacy `prerequisites.env_vars` remains supported and is normalized into the new representation.
```yaml
prerequisites:
env_vars: [TENOR_API_KEY] # Legacy alias for required_environment_variables
commands: [curl, jq] # Advisory CLI checks
```
Gateway and messaging sessions never collect secrets in-band; they instruct the user to run `hermes setup` or update `~/.hermes/.env` locally.
**When to declare required environment variables:**
- The skill uses an API key or token that should be collected securely at load time
- The skill can still be useful if the user skips setup, but may degrade gracefully
**When to declare command prerequisites:**
- The skill relies on a CLI tool that may not be installed (e.g., `himalaya`, `openhue`, `ddgs`)
- Treat command checks as guidance, not discovery-time hiding
See `skills/gifs/gif-search/` and `skills/email/himalaya/` for examples.
### Skill guidelines
- **No external dependencies unless absolutely necessary.** Prefer stdlib Python, curl, and existing Hermes tools (`web_extract`, `terminal`, `read_file`).
- **Progressive disclosure.** Put the most common workflow first. Edge cases and advanced usage go at the bottom.
- **Include helper scripts** for XML/JSON parsing or complex logic — don't expect the LLM to write parsers inline every time.
- **Test it.** Run `hermes --toolsets skills -q "Use the X skill to do Y"` and verify the agent follows the instructions correctly.
---
## Adding a Skin / Theme
Hermes uses a data-driven skin system — no code changes needed to add a new skin.
**Option A: User skin (YAML file)**
Create `~/.hermes/skins/<name>.yaml`:
```yaml
name: mytheme
description: Short description of the theme
colors:
banner_border: "#HEX" # Panel border color
banner_title: "#HEX" # Panel title color
banner_accent: "#HEX" # Section header color
banner_dim: "#HEX" # Muted/dim text color
banner_text: "#HEX" # Body text color
response_border: "#HEX" # Response box border
spinner:
waiting_faces: ["(⚔)", "(⛨)"]
thinking_faces: ["(⚔)", "(⌁)"]
thinking_verbs: ["forging", "plotting"]
wings: # Optional left/right decorations
- ["⟪⚔", "⚔⟫"]
branding:
agent_name: "My Agent"
welcome: "Welcome message"
response_label: " ⚔ Agent "
prompt_symbol: "⚔ "
tool_prefix: "╎" # Tool output line prefix
```
All fields are optional — missing values inherit from the default skin.
**Option B: Built-in skin**
Add to `_BUILTIN_SKINS` dict in `hermes_cli/skin_engine.py`. Use the same schema as above but as a Python dict. Built-in skins ship with the package and are always available.
**Activating:**
- CLI: `/skin mytheme` or set `display.skin: mytheme` in config.yaml
- Config: `display: { skin: mytheme }`
See `hermes_cli/skin_engine.py` for the full schema and existing skins as examples.
---
## Cross-Platform Compatibility
Hermes runs on Linux, macOS, and Windows. When writing code that touches the OS:
### Critical rules
1. **`termios` and `fcntl` are Unix-only.** Always catch both `ImportError` and `NotImplementedError`:
```python
try:
from simple_term_menu import TerminalMenu
menu = TerminalMenu(options)
idx = menu.show()
except (ImportError, NotImplementedError):
# Fallback: numbered menu for Windows
for i, opt in enumerate(options):
print(f" {i+1}. {opt}")
idx = int(input("Choice: ")) - 1
```
2. **File encoding.** Windows may save `.env` files in `cp1252`. Always handle encoding errors:
```python
try:
load_dotenv(env_path)
except UnicodeDecodeError:
load_dotenv(env_path, encoding="latin-1")
```
3. **Process management.** `os.setsid()`, `os.killpg()`, and signal handling differ on Windows. Use platform checks:
```python
import platform
if platform.system() != "Windows":
kwargs["preexec_fn"] = os.setsid
```
4. **Path separators.** Use `pathlib.Path` instead of string concatenation with `/`.
5. **Shell commands in installers.** If you change `scripts/install.sh`, check if the equivalent change is needed in `scripts/install.ps1`.
---
## Security Considerations
Hermes has terminal access. Security matters.
### Existing protections
| Layer | Implementation |
|-------|---------------|
| **Sudo password piping** | Uses `shlex.quote()` to prevent shell injection |
| **Dangerous command detection** | Regex patterns in `tools/approval.py` with user approval flow |
| **Cron prompt injection** | Scanner in `tools/cronjob_tools.py` blocks instruction-override patterns |
| **Write deny list** | Protected paths (`~/.ssh/authorized_keys`, `/etc/shadow`) resolved via `os.path.realpath()` to prevent symlink bypass |
| **Skills guard** | Security scanner for hub-installed skills (`tools/skills_guard.py`) |
| **Code execution sandbox** | `execute_code` child process runs with API keys stripped from environment |
| **Container hardening** | Docker: all capabilities dropped, no privilege escalation, PID limits, size-limited tmpfs |
### When contributing security-sensitive code
- **Always use `shlex.quote()`** when interpolating user input into shell commands
- **Resolve symlinks** with `os.path.realpath()` before path-based access control checks
- **Don't log secrets.** API keys, tokens, and passwords should never appear in log output
- **Catch broad exceptions** around tool execution so a single failure doesn't crash the agent loop
- **Test on all platforms** if your change touches file paths, process management, or shell commands
If your PR affects security, note it explicitly in the description.
---
## Pull Request Process
### Branch naming
```
fix/description # Bug fixes
feat/description # New features
docs/description # Documentation
test/description # Tests
refactor/description # Code restructuring
```
### Before submitting
1. **Run tests**: `pytest tests/ -v`
2. **Test manually**: Run `hermes` and exercise the code path you changed
3. **Check cross-platform impact**: If you touch file I/O, process management, or terminal handling, consider Windows and macOS
4. **Keep PRs focused**: One logical change per PR. Don't mix a bug fix with a refactor with a new feature.
### PR description
Include:
- **What** changed and **why**
- **How to test** it (reproduction steps for bugs, usage examples for features)
- **What platforms** you tested on
- Reference any related issues
### Commit messages
We use [Conventional Commits](https://www.conventionalcommits.org/):
```
<type>(<scope>): <description>
```
| Type | Use for |
|------|---------|
| `fix` | Bug fixes |
| `feat` | New features |
| `docs` | Documentation |
| `test` | Tests |
| `refactor` | Code restructuring (no behavior change) |
| `chore` | Build, CI, dependency updates |
Scopes: `cli`, `gateway`, `tools`, `skills`, `agent`, `install`, `whatsapp`, `security`, etc.
Examples:
```
fix(cli): prevent crash in save_config_value when model is a string
feat(gateway): add WhatsApp multi-user session isolation
fix(security): prevent shell injection in sudo password piping
test(tools): add unit tests for file_operations
```
---
## Reporting Issues
- Use [GitHub Issues](https://github.com/NousResearch/hermes-agent/issues)
- Include: OS, Python version, Hermes version (`hermes version`), full error traceback
- Include steps to reproduce
- Check existing issues before creating duplicates
- For security vulnerabilities, please report privately
---
## Community
- **Discord**: [discord.gg/NousResearch](https://discord.gg/NousResearch) — for questions, showcasing projects, and sharing skills
- **GitHub Discussions**: For design proposals and architecture discussions
- **Skills Hub**: Upload specialized skills to a registry and share them with the community
---
## License
By contributing, you agree that your contributions will be licensed under the [MIT License](LICENSE).

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@@ -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" ]

21
LICENSE
View File

@@ -1,21 +0,0 @@
MIT License
Copyright (c) 2025 Nous Research
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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

394
README.md
View File

@@ -1,185 +1,295 @@
<p align="center">
<img src="assets/banner.png" alt="Hermes Agent" width="100%">
</p>
# Hermes Agent
# Hermes Agent ☤
AI Agent with advanced tool calling capabilities, real-time logging, and extensible toolsets.
<p align="center">
<a href="https://hermes-agent.nousresearch.com/docs/"><img src="https://img.shields.io/badge/Docs-hermes--agent.nousresearch.com-FFD700?style=for-the-badge" alt="Documentation"></a>
<a href="https://discord.gg/NousResearch"><img src="https://img.shields.io/badge/Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord"></a>
<a href="https://github.com/NousResearch/hermes-agent/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-green?style=for-the-badge" alt="License: MIT"></a>
<a href="https://nousresearch.com"><img src="https://img.shields.io/badge/Built%20by-Nous%20Research-blueviolet?style=for-the-badge" alt="Built by Nous Research"></a>
</p>
## Features
**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.
- 🤖 **Multi-model Support**: Works with Claude, GPT-4, and other OpenAI-compatible models
- 🔧 **Rich Tool Library**: Web search, content extraction, vision analysis, terminal execution, and more
- 📊 **Real-time Logging**: WebSocket-based logging system for monitoring agent execution
- 🖥️ **Desktop UI**: Modern PySide6 frontend with real-time event streaming
- 🎯 **Flexible Toolsets**: Predefined toolset combinations for different use cases
- 💾 **Trajectory Saving**: Save conversation flows for training and analysis
- 🔄 **Auto-retry**: Built-in error handling and retry logic
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.
## Quick Start
<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>
<tr><td><b>Lives where you do</b></td><td>Telegram, Discord, Slack, WhatsApp, Signal, and CLI — all from a single gateway process. Voice memo transcription, cross-platform conversation continuity.</td></tr>
<tr><td><b>A closed learning loop</b></td><td>Agent-curated memory with periodic nudges. Autonomous skill creation after complex tasks. Skills self-improve during use. FTS5 session search with LLM summarization for cross-session recall. <a href="https://github.com/plastic-labs/honcho">Honcho</a> dialectic user modeling. Compatible with the <a href="https://agentskills.io">agentskills.io</a> open standard.</td></tr>
<tr><td><b>Scheduled automations</b></td><td>Built-in cron scheduler with delivery to any platform. Daily reports, nightly backups, weekly audits — all in natural language, running unattended.</td></tr>
<tr><td><b>Delegates and parallelizes</b></td><td>Spawn isolated subagents for parallel workstreams. Write Python scripts that call tools via RPC, collapsing multi-step pipelines into zero-context-cost turns.</td></tr>
<tr><td><b>Runs anywhere, not just your laptop</b></td><td>Six terminal backends — local, Docker, SSH, Daytona, Singularity, and Modal. Daytona and Modal offer serverless persistence — your agent's environment hibernates when idle and wakes on demand, costing nearly nothing between sessions. Run it on a $5 VPS or a GPU cluster.</td></tr>
<tr><td><b>Research-ready</b></td><td>Batch trajectory generation, Atropos RL environments, trajectory compression for training the next generation of tool-calling models.</td></tr>
</table>
---
## Quick Install
### Installation
```bash
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
pip install -r requirements.txt
```
Works on Linux, macOS, WSL2, and Android via Termux. The installer handles the platform-specific setup for you.
> **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:
### Basic Usage
```bash
source ~/.bashrc # reload shell (or: source ~/.zshrc)
hermes # start chatting!
python run_agent.py \
--enabled_toolsets web \
--query "Search for the latest AI news"
```
---
## Getting Started
### With Real-time Logging
```bash
hermes # Interactive CLI — start a conversation
hermes model # Choose your LLM provider and model
hermes tools # Configure which tools are enabled
hermes config set # Set individual config values
hermes gateway # Start the messaging gateway (Telegram, Discord, etc.)
hermes setup # Run the full setup wizard (configures everything at once)
hermes claw migrate # Migrate from OpenClaw (if coming from OpenClaw)
hermes update # Update to the latest version
hermes doctor # Diagnose any issues
# Terminal 1: Start API endpoint server
python api_endpoint/logging_server.py
# Terminal 2: Run agent
python run_agent.py \
--enabled_toolsets web \
--enable_websocket_logging \
--query "Your question here"
```
📖 **[Full documentation →](https://hermes-agent.nousresearch.com/docs/)**
### With Desktop UI (Recommended)
## CLI vs Messaging Quick Reference
Hermes has two entry points: start the terminal UI with `hermes`, or run the gateway and talk to it from Telegram, Discord, Slack, WhatsApp, Signal, or Email. Once you're in a conversation, many slash commands are shared across both interfaces.
| Action | CLI | Messaging platforms |
|---------|-----|---------------------|
| Start chatting | `hermes` | Run `hermes gateway setup` + `hermes gateway start`, then send the bot a message |
| Start fresh conversation | `/new` or `/reset` | `/new` or `/reset` |
| Change model | `/model [provider:model]` | `/model [provider:model]` |
| Set a personality | `/personality [name]` | `/personality [name]` |
| Retry or undo the last turn | `/retry`, `/undo` | `/retry`, `/undo` |
| Compress context / check usage | `/compress`, `/usage`, `/insights [--days N]` | `/compress`, `/usage`, `/insights [days]` |
| Browse skills | `/skills` or `/<skill-name>` | `/skills` or `/<skill-name>` |
| Interrupt current work | `Ctrl+C` or send a new message | `/stop` or send a new message |
| Platform-specific status | `/platforms` | `/status`, `/sethome` |
For the full command lists, see the [CLI guide](https://hermes-agent.nousresearch.com/docs/user-guide/cli) and the [Messaging Gateway guide](https://hermes-agent.nousresearch.com/docs/user-guide/messaging).
---
## Documentation
All documentation lives at **[hermes-agent.nousresearch.com/docs](https://hermes-agent.nousresearch.com/docs/)**:
| Section | What's Covered |
|---------|---------------|
| [Quickstart](https://hermes-agent.nousresearch.com/docs/getting-started/quickstart) | Install → setup → first conversation in 2 minutes |
| [CLI Usage](https://hermes-agent.nousresearch.com/docs/user-guide/cli) | Commands, keybindings, personalities, sessions |
| [Configuration](https://hermes-agent.nousresearch.com/docs/user-guide/configuration) | Config file, providers, models, all options |
| [Messaging Gateway](https://hermes-agent.nousresearch.com/docs/user-guide/messaging) | Telegram, Discord, Slack, WhatsApp, Signal, Home Assistant |
| [Security](https://hermes-agent.nousresearch.com/docs/user-guide/security) | Command approval, DM pairing, container isolation |
| [Tools & Toolsets](https://hermes-agent.nousresearch.com/docs/user-guide/features/tools) | 40+ tools, toolset system, terminal backends |
| [Skills System](https://hermes-agent.nousresearch.com/docs/user-guide/features/skills) | Procedural memory, Skills Hub, creating skills |
| [Memory](https://hermes-agent.nousresearch.com/docs/user-guide/features/memory) | Persistent memory, user profiles, best practices |
| [MCP Integration](https://hermes-agent.nousresearch.com/docs/user-guide/features/mcp) | Connect any MCP server for extended capabilities |
| [Cron Scheduling](https://hermes-agent.nousresearch.com/docs/user-guide/features/cron) | Scheduled tasks with platform delivery |
| [Context Files](https://hermes-agent.nousresearch.com/docs/user-guide/features/context-files) | Project context that shapes every conversation |
| [Architecture](https://hermes-agent.nousresearch.com/docs/developer-guide/architecture) | Project structure, agent loop, key classes |
| [Contributing](https://hermes-agent.nousresearch.com/docs/developer-guide/contributing) | Development setup, PR process, code style |
| [CLI Reference](https://hermes-agent.nousresearch.com/docs/reference/cli-commands) | All commands and flags |
| [Environment Variables](https://hermes-agent.nousresearch.com/docs/reference/environment-variables) | Complete env var reference |
---
## Migrating from OpenClaw
If you're coming from OpenClaw, Hermes can automatically import your settings, memories, skills, and API keys.
**During first-time setup:** The setup wizard (`hermes setup`) automatically detects `~/.openclaw` and offers to migrate before configuration begins.
**Anytime after install:**
The easiest way to use Hermes Agent is through the desktop UI:
```bash
hermes claw migrate # Interactive migration (full preset)
hermes claw migrate --dry-run # Preview what would be migrated
hermes claw migrate --preset user-data # Migrate without secrets
hermes claw migrate --overwrite # Overwrite existing conflicts
# One-command launch (starts server + UI)
cd ui && ./start_hermes_ui.sh
# Or manually:
# Terminal 1: Start server
python api_endpoint/logging_server.py
# Terminal 2: Start UI
python ui/hermes_ui.py
```
What gets imported:
- **SOUL.md** — persona file
- **Memories** — MEMORY.md and USER.md entries
- **Skills** — user-created skills → `~/.hermes/skills/openclaw-imports/`
- **Command allowlist** — approval patterns
- **Messaging settings** — platform configs, allowed users, working directory
- **API keys** — allowlisted secrets (Telegram, OpenRouter, OpenAI, Anthropic, ElevenLabs)
- **TTS assets** — workspace audio files
- **Workspace instructions** — AGENTS.md (with `--workspace-target`)
The UI provides:
- 🖱️ Point-and-click query submission
- 🎛️ Easy model and tool selection
- 📊 Real-time event visualization
- 🔄 Automatic WebSocket connection
- 📝 Session history
See `hermes claw migrate --help` for all options, or use the `openclaw-migration` skill for an interactive agent-guided migration with dry-run previews.
## Project Structure
---
```
Hermes-Agent/
├── run_agent.py # Main agent runner
├── model_tools.py # Tool definitions and handling
├── toolsets.py # Predefined toolset combinations
├── requirements.txt # Python dependencies
├── ui/ # Desktop UI ⭐ NEW
│ ├── hermes_ui.py # PySide6 desktop application
│ ├── start_hermes_ui.sh # UI launcher script
│ └── test_ui_flow.py # UI integration tests
├── tools/ # Tool implementations
│ ├── web_tools.py # Web search, extract, crawl
│ ├── vision_tools.py # Image analysis
│ ├── terminal_tool.py # Command execution
│ ├── image_generation_tool.py
│ └── ...
├── api_endpoint/ # FastAPI + WebSocket logging endpoint
│ ├── logging_server.py # WebSocket server + Agent API ⭐ ENHANCED
│ ├── websocket_logger.py # Client library
│ ├── README.md # API endpoint docs
│ └── ...
├── logs/ # Log files
│ └── realtime/ # WebSocket session logs
└── tests/ # Test files
```
## Contributing
## Available Toolsets
We welcome contributions! See the [Contributing Guide](https://hermes-agent.nousresearch.com/docs/developer-guide/contributing) for development setup, code style, and PR process.
### Basic Toolsets
- **web**: Web search, extract, and crawl
- **terminal**: Command execution
- **vision**: Image analysis
- **creative**: Image generation
- **reasoning**: Mixture of agents
Quick start for contributors — clone and go with `setup-hermes.sh`:
### Composite Toolsets
- **research**: Web + vision tools
- **development**: Web + terminal + vision
- **analysis**: Web + vision + reasoning
- **full_stack**: All tools enabled
### Usage Examples
```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
# Research with web and vision
python run_agent.py --enabled_toolsets research --query "..."
# Development with terminal access
python run_agent.py --enabled_toolsets development --query "..."
# Combine multiple toolsets
python run_agent.py --enabled_toolsets web,vision --query "..."
```
Manual path (equivalent to the above):
## Real-time Logging System
Monitor your agent's execution in real-time with the FastAPI WebSocket endpoint using a **persistent connection pool** architecture.
### Architecture
The logging system uses a **singleton WebSocket connection** that persists across multiple agent runs:
-**No timeouts** - connection stays alive indefinitely
-**No reconnection overhead** - connect once, reuse forever
-**Parallel execution** - multiple agents share one connection
-**Production-ready** - graceful shutdown with signal handlers
See [`api_endpoint/PERSISTENT_CONNECTION_GUIDE.md`](api_endpoint/PERSISTENT_CONNECTION_GUIDE.md) for technical details.
### Features
- Track all API calls and responses
- **Persistent connection** - one WebSocket for all sessions
- Monitor tool executions with parameters and timing
- Capture errors and completion status
- REST API for querying sessions
- Real-time WebSocket broadcasting
### Documentation
See [`api_endpoint/README.md`](api_endpoint/README.md) for complete documentation.
### Quick Start
```bash
# Start API endpoint server
python api_endpoint/logging_server.py
# Run agent with logging
python run_agent.py --enable_websocket_logging --query "..."
# View logs
curl http://localhost:8000/sessions
```
## Configuration
### Environment Variables
Create a `.env` file in the project root:
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv venv --python 3.11
source venv/bin/activate
uv pip install -e ".[all,dev]"
python -m pytest tests/ -q
# API Keys
ANTHROPIC_API_KEY=your_key_here
FIRECRAWL_API_KEY=your_key_here
NOUS_API_KEY=your_key_here
FAL_KEY=your_key_here
# Optional
WEB_TOOLS_DEBUG=true # Enable web tools debug logging
```
> **RL Training (optional):** To work on the RL/Tinker-Atropos integration:
> ```bash
> git submodule update --init tinker-atropos
> uv pip install -e "./tinker-atropos"
> ```
### Command-Line Options
---
```bash
python run_agent.py --help
```
## Community
Key options:
- `--query`: Your question/task
- `--model`: Model to use (default: claude-sonnet-4-5-20250929)
- `--enabled_toolsets`: Toolsets to enable
- `--max_turns`: Maximum conversation turns
- `--enable_websocket_logging`: Enable real-time logging
- `--verbose`: Verbose debug output
- `--save_trajectories`: Save conversation trajectories
- 💬 [Discord](https://discord.gg/NousResearch)
- 📚 [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.
## Parallel Execution
---
The persistent connection pool enables true parallel agent execution. Multiple agents can run simultaneously, all sharing the same WebSocket connection for logging.
### Test Parallel Execution
```bash
python test_parallel_execution.py
```
This script runs three tests:
1. **Sequential** - baseline (3 queries one after another)
2. **Parallel** - 3 queries simultaneously
3. **High Concurrency** - 10 queries simultaneously
**Expected Results:**
- ⚡ ~3x speedup with parallel execution
- ✅ All queries logged to same connection
- ✅ No connection timeouts or errors
### Custom Parallel Code
```python
import asyncio
from run_agent import AIAgent
async def main():
agent1 = AIAgent(enable_websocket_logging=True)
agent2 = AIAgent(enable_websocket_logging=True)
# Run in parallel - both use shared connection!
results = await asyncio.gather(
agent1.run_conversation("Query 1"),
agent2.run_conversation("Query 2")
)
asyncio.run(main())
```
## Examples
### Investment Research
```bash
python run_agent.py \
--enabled_toolsets web \
--query "Find publicly traded companies in renewable energy"
```
### Code Analysis
```bash
python run_agent.py \
--enabled_toolsets development \
--query "Analyze the codebase and suggest improvements"
```
### Image Analysis
```bash
python run_agent.py \
--enabled_toolsets vision \
--query "Analyze this chart and explain the trends"
```
## Development
### Adding New Tools
1. Create tool in `tools/` directory
2. Register in `model_tools.py`
3. Add to appropriate toolset in `toolsets.py`
### Running Tests
```bash
# Test web tools
python tests/test_web_tools.py
# Test API endpoint / logging
cd api_endpoint
./test_websocket_logging.sh
```
## License
MIT see [LICENSE](LICENSE).
MIT License - see LICENSE file for details
Built by [Nous Research](https://nousresearch.com).
## Contributing
Contributions welcome! Please open an issue or PR.
## Support
For questions or issues:
1. Check documentation in `api_endpoint/`
2. Review example usage in this README
3. Open a GitHub issue
---
Built with ❤️ for advanced AI agent workflows

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# 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)

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# Hermes Agent v0.2.0 (v2026.3.12)
**Release Date:** March 12, 2026
> First tagged release since v0.1.0 (the initial pre-public foundation). In just over two weeks, Hermes Agent went from a small internal project to a full-featured AI agent platform — thanks to an explosion of community contributions. This release covers **216 merged pull requests** from **63 contributors**, resolving **119 issues**.
---
## ✨ Highlights
- **Multi-Platform Messaging Gateway** — Telegram, Discord, Slack, WhatsApp, Signal, Email (IMAP/SMTP), and Home Assistant platforms with unified session management, media attachments, and per-platform tool configuration.
- **MCP (Model Context Protocol) Client** — Native MCP support with stdio and HTTP transports, reconnection, resource/prompt discovery, and sampling (server-initiated LLM requests). ([#291](https://github.com/NousResearch/hermes-agent/pull/291) — @0xbyt4, [#301](https://github.com/NousResearch/hermes-agent/pull/301), [#753](https://github.com/NousResearch/hermes-agent/pull/753))
- **Skills Ecosystem** — 70+ bundled and optional skills across 15+ categories with a Skills Hub for community discovery, per-platform enable/disable, conditional activation based on tool availability, and prerequisite validation. ([#743](https://github.com/NousResearch/hermes-agent/pull/743) — @teyrebaz33, [#785](https://github.com/NousResearch/hermes-agent/pull/785) — @teyrebaz33)
- **Centralized Provider Router** — Unified `call_llm()`/`async_call_llm()` API replaces scattered provider logic across vision, summarization, compression, and trajectory saving. All auxiliary consumers route through a single code path with automatic credential resolution. ([#1003](https://github.com/NousResearch/hermes-agent/pull/1003))
- **ACP Server** — VS Code, Zed, and JetBrains editor integration via the Agent Communication Protocol standard. ([#949](https://github.com/NousResearch/hermes-agent/pull/949))
- **CLI Skin/Theme Engine** — Data-driven visual customization: banners, spinners, colors, branding. 7 built-in skins + custom YAML skins.
- **Git Worktree Isolation** — `hermes -w` launches isolated agent sessions in git worktrees for safe parallel work on the same repo. ([#654](https://github.com/NousResearch/hermes-agent/pull/654))
- **Filesystem Checkpoints & Rollback** — Automatic snapshots before destructive operations with `/rollback` to restore. ([#824](https://github.com/NousResearch/hermes-agent/pull/824))
- **3,289 Tests** — From near-zero test coverage to a comprehensive test suite covering agent, gateway, tools, cron, and CLI.
---
## 🏗️ Core Agent & Architecture
### Provider & Model Support
- Centralized provider router with `resolve_provider_client()` + `call_llm()` API ([#1003](https://github.com/NousResearch/hermes-agent/pull/1003))
- Nous Portal as first-class provider in setup ([#644](https://github.com/NousResearch/hermes-agent/issues/644))
- OpenAI Codex (Responses API) with ChatGPT subscription support ([#43](https://github.com/NousResearch/hermes-agent/pull/43)) — @grp06
- Codex OAuth vision support + multimodal content adapter
- Validate `/model` against live API instead of hardcoded lists
- Self-hosted Firecrawl support ([#460](https://github.com/NousResearch/hermes-agent/pull/460)) — @caentzminger
- Kimi Code API support ([#635](https://github.com/NousResearch/hermes-agent/pull/635)) — @christomitov
- MiniMax model ID update ([#473](https://github.com/NousResearch/hermes-agent/pull/473)) — @tars90percent
- OpenRouter provider routing configuration (provider_preferences)
- Nous credential refresh on 401 errors ([#571](https://github.com/NousResearch/hermes-agent/pull/571), [#269](https://github.com/NousResearch/hermes-agent/pull/269)) — @rewbs
- z.ai/GLM, Kimi/Moonshot, MiniMax, Azure OpenAI as first-class providers
- Unified `/model` and `/provider` into single view
### Agent Loop & Conversation
- Simple fallback model for provider resilience ([#740](https://github.com/NousResearch/hermes-agent/pull/740))
- Shared iteration budget across parent + subagent delegation
- Iteration budget pressure via tool result injection
- Configurable subagent provider/model with full credential resolution
- Handle 413 payload-too-large via compression instead of aborting ([#153](https://github.com/NousResearch/hermes-agent/pull/153)) — @tekelala
- Retry with rebuilt payload after compression ([#616](https://github.com/NousResearch/hermes-agent/pull/616)) — @tripledoublev
- Auto-compress pathologically large gateway sessions ([#628](https://github.com/NousResearch/hermes-agent/issues/628))
- Tool call repair middleware — auto-lowercase and invalid tool handler
- Reasoning effort configuration and `/reasoning` command ([#921](https://github.com/NousResearch/hermes-agent/pull/921))
- Detect and block file re-read/search loops after context compression ([#705](https://github.com/NousResearch/hermes-agent/pull/705)) — @0xbyt4
### Session & Memory
- Session naming with unique titles, auto-lineage, rich listing, and resume by name ([#720](https://github.com/NousResearch/hermes-agent/pull/720))
- Interactive session browser with search filtering ([#733](https://github.com/NousResearch/hermes-agent/pull/733))
- Display previous messages when resuming a session ([#734](https://github.com/NousResearch/hermes-agent/pull/734))
- Honcho AI-native cross-session user modeling ([#38](https://github.com/NousResearch/hermes-agent/pull/38)) — @erosika
- Proactive async memory flush on session expiry
- Smart context length probing with persistent caching + banner display
- `/resume` command for switching to named sessions in gateway
- Session reset policy for messaging platforms
---
## 📱 Messaging Platforms (Gateway)
### Telegram
- Native file attachments: send_document + send_video
- Document file processing for PDF, text, and Office files — @tekelala
- Forum topic session isolation ([#766](https://github.com/NousResearch/hermes-agent/pull/766)) — @spanishflu-est1918
- Browser screenshot sharing via MEDIA: protocol ([#657](https://github.com/NousResearch/hermes-agent/pull/657))
- Location support for find-nearby skill
- TTS voice message accumulation fix ([#176](https://github.com/NousResearch/hermes-agent/pull/176)) — @Bartok9
- Improved error handling and logging ([#763](https://github.com/NousResearch/hermes-agent/pull/763)) — @aydnOktay
- Italic regex newline fix + 43 format tests ([#204](https://github.com/NousResearch/hermes-agent/pull/204)) — @0xbyt4
### Discord
- Channel topic included in session context ([#248](https://github.com/NousResearch/hermes-agent/pull/248)) — @Bartok9
- DISCORD_ALLOW_BOTS config for bot message filtering ([#758](https://github.com/NousResearch/hermes-agent/pull/758))
- Document and video support ([#784](https://github.com/NousResearch/hermes-agent/pull/784))
- Improved error handling and logging ([#761](https://github.com/NousResearch/hermes-agent/pull/761)) — @aydnOktay
### Slack
- App_mention 404 fix + document/video support ([#784](https://github.com/NousResearch/hermes-agent/pull/784))
- Structured logging replacing print statements — @aydnOktay
### WhatsApp
- Native media sending — images, videos, documents ([#292](https://github.com/NousResearch/hermes-agent/pull/292)) — @satelerd
- Multi-user session isolation ([#75](https://github.com/NousResearch/hermes-agent/pull/75)) — @satelerd
- Cross-platform port cleanup replacing Linux-only fuser ([#433](https://github.com/NousResearch/hermes-agent/pull/433)) — @Farukest
- DM interrupt key mismatch fix ([#350](https://github.com/NousResearch/hermes-agent/pull/350)) — @Farukest
### Signal
- Full Signal messenger gateway via signal-cli-rest-api ([#405](https://github.com/NousResearch/hermes-agent/issues/405))
- Media URL support in message events ([#871](https://github.com/NousResearch/hermes-agent/pull/871))
### Email (IMAP/SMTP)
- New email gateway platform — @0xbyt4
### Home Assistant
- REST tools + WebSocket gateway integration ([#184](https://github.com/NousResearch/hermes-agent/pull/184)) — @0xbyt4
- Service discovery and enhanced setup
- Toolset mapping fix ([#538](https://github.com/NousResearch/hermes-agent/pull/538)) — @Himess
### Gateway Core
- Expose subagent tool calls and thinking to users ([#186](https://github.com/NousResearch/hermes-agent/pull/186)) — @cutepawss
- Configurable background process watcher notifications ([#840](https://github.com/NousResearch/hermes-agent/pull/840))
- `edit_message()` for Telegram/Discord/Slack with fallback
- `/compress`, `/usage`, `/update` slash commands
- Eliminated 3x SQLite message duplication in gateway sessions ([#873](https://github.com/NousResearch/hermes-agent/pull/873))
- Stabilize system prompt across gateway turns for cache hits ([#754](https://github.com/NousResearch/hermes-agent/pull/754))
- MCP server shutdown on gateway exit ([#796](https://github.com/NousResearch/hermes-agent/pull/796)) — @0xbyt4
- Pass session_db to AIAgent, fixing session_search error ([#108](https://github.com/NousResearch/hermes-agent/pull/108)) — @Bartok9
- Persist transcript changes in /retry, /undo; fix /reset attribute ([#217](https://github.com/NousResearch/hermes-agent/pull/217)) — @Farukest
- UTF-8 encoding fix preventing Windows crashes ([#369](https://github.com/NousResearch/hermes-agent/pull/369)) — @ch3ronsa
---
## 🖥️ CLI & User Experience
### Interactive CLI
- Data-driven skin/theme engine — 7 built-in skins (default, ares, mono, slate, poseidon, sisyphus, charizard) + custom YAML skins
- `/personality` command with custom personality + disable support ([#773](https://github.com/NousResearch/hermes-agent/pull/773)) — @teyrebaz33
- User-defined quick commands that bypass the agent loop ([#746](https://github.com/NousResearch/hermes-agent/pull/746)) — @teyrebaz33
- `/reasoning` command for effort level and display toggle ([#921](https://github.com/NousResearch/hermes-agent/pull/921))
- `/verbose` slash command to toggle debug at runtime ([#94](https://github.com/NousResearch/hermes-agent/pull/94)) — @cesareth
- `/insights` command — usage analytics, cost estimation & activity patterns ([#552](https://github.com/NousResearch/hermes-agent/pull/552))
- `/background` command for managing background processes
- `/help` formatting with command categories
- Bell-on-complete — terminal bell when agent finishes ([#738](https://github.com/NousResearch/hermes-agent/pull/738))
- Up/down arrow history navigation
- Clipboard image paste (Alt+V / Ctrl+V)
- Loading indicators for slow slash commands ([#882](https://github.com/NousResearch/hermes-agent/pull/882))
- Spinner flickering fix under patch_stdout ([#91](https://github.com/NousResearch/hermes-agent/pull/91)) — @0xbyt4
- `--quiet/-Q` flag for programmatic single-query mode
- `--fuck-it-ship-it` flag to bypass all approval prompts ([#724](https://github.com/NousResearch/hermes-agent/pull/724)) — @dmahan93
- Tools summary flag ([#767](https://github.com/NousResearch/hermes-agent/pull/767)) — @luisv-1
- Terminal blinking fix on SSH ([#284](https://github.com/NousResearch/hermes-agent/pull/284)) — @ygd58
- Multi-line paste detection fix ([#84](https://github.com/NousResearch/hermes-agent/pull/84)) — @0xbyt4
### Setup & Configuration
- Modular setup wizard with section subcommands and tool-first UX
- Container resource configuration prompts
- Backend validation for required binaries
- Config migration system (currently v7)
- API keys properly routed to .env instead of config.yaml ([#469](https://github.com/NousResearch/hermes-agent/pull/469)) — @ygd58
- Atomic write for .env to prevent API key loss on crash ([#954](https://github.com/NousResearch/hermes-agent/pull/954))
- `hermes tools` — per-platform tool enable/disable with curses UI
- `hermes doctor` for health checks across all configured providers
- `hermes update` with auto-restart for gateway service
- Show update-available notice in CLI banner
- Multiple named custom providers
- Shell config detection improvement for PATH setup ([#317](https://github.com/NousResearch/hermes-agent/pull/317)) — @mehmetkr-31
- Consistent HERMES_HOME and .env path resolution ([#51](https://github.com/NousResearch/hermes-agent/pull/51), [#48](https://github.com/NousResearch/hermes-agent/pull/48)) — @deankerr
- Docker backend fix on macOS + subagent auth for Nous Portal ([#46](https://github.com/NousResearch/hermes-agent/pull/46)) — @rsavitt
---
## 🔧 Tool System
### MCP (Model Context Protocol)
- Native MCP client with stdio + HTTP transports ([#291](https://github.com/NousResearch/hermes-agent/pull/291) — @0xbyt4, [#301](https://github.com/NousResearch/hermes-agent/pull/301))
- Sampling support — server-initiated LLM requests ([#753](https://github.com/NousResearch/hermes-agent/pull/753))
- Resource and prompt discovery
- Automatic reconnection and security hardening
- Banner integration, `/reload-mcp` command
- `hermes tools` UI integration
### Browser
- Local browser backend — zero-cost headless Chromium (no Browserbase needed)
- Console/errors tool, annotated screenshots, auto-recording, dogfood QA skill ([#745](https://github.com/NousResearch/hermes-agent/pull/745))
- Screenshot sharing via MEDIA: on all messaging platforms ([#657](https://github.com/NousResearch/hermes-agent/pull/657))
### Terminal & Execution
- `execute_code` sandbox with json_parse, shell_quote, retry helpers
- Docker: custom volume mounts ([#158](https://github.com/NousResearch/hermes-agent/pull/158)) — @Indelwin
- Daytona cloud sandbox backend ([#451](https://github.com/NousResearch/hermes-agent/pull/451)) — @rovle
- SSH backend fix ([#59](https://github.com/NousResearch/hermes-agent/pull/59)) — @deankerr
- Shell noise filtering and login shell execution for environment consistency
- Head+tail truncation for execute_code stdout overflow
- Configurable background process notification modes
### File Operations
- Filesystem checkpoints and `/rollback` command ([#824](https://github.com/NousResearch/hermes-agent/pull/824))
- Structured tool result hints (next-action guidance) for patch and search_files ([#722](https://github.com/NousResearch/hermes-agent/issues/722))
- Docker volumes passed to sandbox container config ([#687](https://github.com/NousResearch/hermes-agent/pull/687)) — @manuelschipper
---
## 🧩 Skills Ecosystem
### Skills System
- Per-platform skill enable/disable ([#743](https://github.com/NousResearch/hermes-agent/pull/743)) — @teyrebaz33
- Conditional skill activation based on tool availability ([#785](https://github.com/NousResearch/hermes-agent/pull/785)) — @teyrebaz33
- Skill prerequisites — hide skills with unmet dependencies ([#659](https://github.com/NousResearch/hermes-agent/pull/659)) — @kshitijk4poor
- Optional skills — shipped but not activated by default
- `hermes skills browse` — paginated hub browsing
- Skills sub-category organization
- Platform-conditional skill loading
- Atomic skill file writes ([#551](https://github.com/NousResearch/hermes-agent/pull/551)) — @aydnOktay
- Skills sync data loss prevention ([#563](https://github.com/NousResearch/hermes-agent/pull/563)) — @0xbyt4
- Dynamic skill slash commands for CLI and gateway
### New Skills (selected)
- **ASCII Art** — pyfiglet (571 fonts), cowsay, image-to-ascii ([#209](https://github.com/NousResearch/hermes-agent/pull/209)) — @0xbyt4
- **ASCII Video** — Full production pipeline ([#854](https://github.com/NousResearch/hermes-agent/pull/854)) — @SHL0MS
- **DuckDuckGo Search** — Firecrawl fallback ([#267](https://github.com/NousResearch/hermes-agent/pull/267)) — @gamedevCloudy; DDGS API expansion ([#598](https://github.com/NousResearch/hermes-agent/pull/598)) — @areu01or00
- **Solana Blockchain** — Wallet balances, USD pricing, token names ([#212](https://github.com/NousResearch/hermes-agent/pull/212)) — @gizdusum
- **AgentMail** — Agent-owned email inboxes ([#330](https://github.com/NousResearch/hermes-agent/pull/330)) — @teyrebaz33
- **Polymarket** — Prediction market data (read-only) ([#629](https://github.com/NousResearch/hermes-agent/pull/629))
- **OpenClaw Migration** — Official migration tool ([#570](https://github.com/NousResearch/hermes-agent/pull/570)) — @unmodeled-tyler
- **Domain Intelligence** — Passive recon: subdomains, SSL, WHOIS, DNS ([#136](https://github.com/NousResearch/hermes-agent/pull/136)) — @FurkanL0
- **Superpowers** — Software development skills ([#137](https://github.com/NousResearch/hermes-agent/pull/137)) — @kaos35
- **Hermes-Atropos** — RL environment development skill ([#815](https://github.com/NousResearch/hermes-agent/pull/815))
- Plus: arXiv search, OCR/documents, Excalidraw diagrams, YouTube transcripts, GIF search, Pokémon player, Minecraft modpack server, OpenHue (Philips Hue), Google Workspace, Notion, PowerPoint, Obsidian, find-nearby, and 40+ MLOps skills
---
## 🔒 Security & Reliability
### Security Hardening
- Path traversal fix in skill_view — prevented reading arbitrary files ([#220](https://github.com/NousResearch/hermes-agent/issues/220)) — @Farukest
- Shell injection prevention in sudo password piping ([#65](https://github.com/NousResearch/hermes-agent/pull/65)) — @leonsgithub
- Dangerous command detection: multiline bypass fix ([#233](https://github.com/NousResearch/hermes-agent/pull/233)) — @Farukest; tee/process substitution patterns ([#280](https://github.com/NousResearch/hermes-agent/pull/280)) — @dogiladeveloper
- Symlink boundary check fix in skills_guard ([#386](https://github.com/NousResearch/hermes-agent/pull/386)) — @Farukest
- Symlink bypass fix in write deny list on macOS ([#61](https://github.com/NousResearch/hermes-agent/pull/61)) — @0xbyt4
- Multi-word prompt injection bypass prevention ([#192](https://github.com/NousResearch/hermes-agent/pull/192)) — @0xbyt4
- Cron prompt injection scanner bypass fix ([#63](https://github.com/NousResearch/hermes-agent/pull/63)) — @0xbyt4
- Enforce 0600/0700 file permissions on sensitive files ([#757](https://github.com/NousResearch/hermes-agent/pull/757))
- .env file permissions restricted to owner-only ([#529](https://github.com/NousResearch/hermes-agent/pull/529)) — @Himess
- `--force` flag properly blocked from overriding dangerous verdicts ([#388](https://github.com/NousResearch/hermes-agent/pull/388)) — @Farukest
- FTS5 query sanitization + DB connection leak fix ([#565](https://github.com/NousResearch/hermes-agent/pull/565)) — @0xbyt4
- Expand secret redaction patterns + config toggle to disable
- In-memory permanent allowlist to prevent data leak ([#600](https://github.com/NousResearch/hermes-agent/pull/600)) — @alireza78a
### Atomic Writes (data loss prevention)
- sessions.json ([#611](https://github.com/NousResearch/hermes-agent/pull/611)) — @alireza78a
- Cron jobs ([#146](https://github.com/NousResearch/hermes-agent/pull/146)) — @alireza78a
- .env config ([#954](https://github.com/NousResearch/hermes-agent/pull/954))
- Process checkpoints ([#298](https://github.com/NousResearch/hermes-agent/pull/298)) — @aydnOktay
- Batch runner ([#297](https://github.com/NousResearch/hermes-agent/pull/297)) — @aydnOktay
- Skill files ([#551](https://github.com/NousResearch/hermes-agent/pull/551)) — @aydnOktay
### Reliability
- Guard all print() against OSError for systemd/headless environments ([#963](https://github.com/NousResearch/hermes-agent/pull/963))
- Reset all retry counters at start of run_conversation ([#607](https://github.com/NousResearch/hermes-agent/pull/607)) — @0xbyt4
- Return deny on approval callback timeout instead of None ([#603](https://github.com/NousResearch/hermes-agent/pull/603)) — @0xbyt4
- Fix None message content crashes across codebase ([#277](https://github.com/NousResearch/hermes-agent/pull/277))
- Fix context overrun crash with local LLM backends ([#403](https://github.com/NousResearch/hermes-agent/pull/403)) — @ch3ronsa
- Prevent `_flush_sentinel` from leaking to external APIs ([#227](https://github.com/NousResearch/hermes-agent/pull/227)) — @Farukest
- Prevent conversation_history mutation in callers ([#229](https://github.com/NousResearch/hermes-agent/pull/229)) — @Farukest
- Fix systemd restart loop ([#614](https://github.com/NousResearch/hermes-agent/pull/614)) — @voidborne-d
- Close file handles and sockets to prevent fd leaks ([#568](https://github.com/NousResearch/hermes-agent/pull/568) — @alireza78a, [#296](https://github.com/NousResearch/hermes-agent/pull/296) — @alireza78a, [#709](https://github.com/NousResearch/hermes-agent/pull/709) — @memosr)
- Prevent data loss in clipboard PNG conversion ([#602](https://github.com/NousResearch/hermes-agent/pull/602)) — @0xbyt4
- Eliminate shell noise from terminal output ([#293](https://github.com/NousResearch/hermes-agent/pull/293)) — @0xbyt4
- Timezone-aware now() for prompt, cron, and execute_code ([#309](https://github.com/NousResearch/hermes-agent/pull/309)) — @areu01or00
### Windows Compatibility
- Guard POSIX-only process functions ([#219](https://github.com/NousResearch/hermes-agent/pull/219)) — @Farukest
- Windows native support via Git Bash + ZIP-based update fallback
- pywinpty for PTY support ([#457](https://github.com/NousResearch/hermes-agent/pull/457)) — @shitcoinsherpa
- Explicit UTF-8 encoding on all config/data file I/O ([#458](https://github.com/NousResearch/hermes-agent/pull/458)) — @shitcoinsherpa
- Windows-compatible path handling ([#354](https://github.com/NousResearch/hermes-agent/pull/354), [#390](https://github.com/NousResearch/hermes-agent/pull/390)) — @Farukest
- Regex-based search output parsing for drive-letter paths ([#533](https://github.com/NousResearch/hermes-agent/pull/533)) — @Himess
- Auth store file lock for Windows ([#455](https://github.com/NousResearch/hermes-agent/pull/455)) — @shitcoinsherpa
---
## 🐛 Notable Bug Fixes
- Fix DeepSeek V3 tool call parser silently dropping multi-line JSON arguments ([#444](https://github.com/NousResearch/hermes-agent/pull/444)) — @PercyDikec
- Fix gateway transcript losing 1 message per turn due to offset mismatch ([#395](https://github.com/NousResearch/hermes-agent/pull/395)) — @PercyDikec
- Fix /retry command silently discarding the agent's final response ([#441](https://github.com/NousResearch/hermes-agent/pull/441)) — @PercyDikec
- Fix max-iterations retry returning empty string after think-block stripping ([#438](https://github.com/NousResearch/hermes-agent/pull/438)) — @PercyDikec
- Fix max-iterations retry using hardcoded max_tokens ([#436](https://github.com/NousResearch/hermes-agent/pull/436)) — @Farukest
- Fix Codex status dict key mismatch ([#448](https://github.com/NousResearch/hermes-agent/pull/448)) and visibility filter ([#446](https://github.com/NousResearch/hermes-agent/pull/446)) — @PercyDikec
- Strip \<think\> blocks from final user-facing responses ([#174](https://github.com/NousResearch/hermes-agent/pull/174)) — @Bartok9
- Fix \<think\> block regex stripping visible content when model discusses tags literally ([#786](https://github.com/NousResearch/hermes-agent/issues/786))
- Fix Mistral 422 errors from leftover finish_reason in assistant messages ([#253](https://github.com/NousResearch/hermes-agent/pull/253)) — @Sertug17
- Fix OPENROUTER_API_KEY resolution order across all code paths ([#295](https://github.com/NousResearch/hermes-agent/pull/295)) — @0xbyt4
- Fix OPENAI_BASE_URL API key priority ([#420](https://github.com/NousResearch/hermes-agent/pull/420)) — @manuelschipper
- Fix Anthropic "prompt is too long" 400 error not detected as context length error ([#813](https://github.com/NousResearch/hermes-agent/issues/813))
- Fix SQLite session transcript accumulating duplicate messages — 3-4x token inflation ([#860](https://github.com/NousResearch/hermes-agent/issues/860))
- Fix setup wizard skipping API key prompts on first install ([#748](https://github.com/NousResearch/hermes-agent/pull/748))
- Fix setup wizard showing OpenRouter model list for Nous Portal ([#575](https://github.com/NousResearch/hermes-agent/pull/575)) — @PercyDikec
- Fix provider selection not persisting when switching via hermes model ([#881](https://github.com/NousResearch/hermes-agent/pull/881))
- Fix Docker backend failing when docker not in PATH on macOS ([#889](https://github.com/NousResearch/hermes-agent/pull/889))
- Fix ClawHub Skills Hub adapter for API endpoint changes ([#286](https://github.com/NousResearch/hermes-agent/pull/286)) — @BP602
- Fix Honcho auto-enable when API key is present ([#243](https://github.com/NousResearch/hermes-agent/pull/243)) — @Bartok9
- Fix duplicate 'skills' subparser crash on Python 3.11+ ([#898](https://github.com/NousResearch/hermes-agent/issues/898))
- Fix memory tool entry parsing when content contains section sign ([#162](https://github.com/NousResearch/hermes-agent/pull/162)) — @aydnOktay
- Fix piped install silently aborting when interactive prompts fail ([#72](https://github.com/NousResearch/hermes-agent/pull/72)) — @cutepawss
- Fix false positives in recursive delete detection ([#68](https://github.com/NousResearch/hermes-agent/pull/68)) — @cutepawss
- Fix Ruff lint warnings across codebase ([#608](https://github.com/NousResearch/hermes-agent/pull/608)) — @JackTheGit
- Fix Anthropic native base URL fail-fast ([#173](https://github.com/NousResearch/hermes-agent/pull/173)) — @adavyas
- Fix install.sh creating ~/.hermes before moving Node.js directory ([#53](https://github.com/NousResearch/hermes-agent/pull/53)) — @JoshuaMart
- Fix SystemExit traceback during atexit cleanup on Ctrl+C ([#55](https://github.com/NousResearch/hermes-agent/pull/55)) — @bierlingm
- Restore missing MIT license file ([#620](https://github.com/NousResearch/hermes-agent/pull/620)) — @stablegenius49
---
## 🧪 Testing
- **3,289 tests** across agent, gateway, tools, cron, and CLI
- Parallelized test suite with pytest-xdist ([#802](https://github.com/NousResearch/hermes-agent/pull/802)) — @OutThisLife
- Unit tests batch 1: 8 core modules ([#60](https://github.com/NousResearch/hermes-agent/pull/60)) — @0xbyt4
- Unit tests batch 2: 8 more modules ([#62](https://github.com/NousResearch/hermes-agent/pull/62)) — @0xbyt4
- Unit tests batch 3: 8 untested modules ([#191](https://github.com/NousResearch/hermes-agent/pull/191)) — @0xbyt4
- Unit tests batch 4: 5 security/logic-critical modules ([#193](https://github.com/NousResearch/hermes-agent/pull/193)) — @0xbyt4
- AIAgent (run_agent.py) unit tests ([#67](https://github.com/NousResearch/hermes-agent/pull/67)) — @0xbyt4
- Trajectory compressor tests ([#203](https://github.com/NousResearch/hermes-agent/pull/203)) — @0xbyt4
- Clarify tool tests ([#121](https://github.com/NousResearch/hermes-agent/pull/121)) — @Bartok9
- Telegram format tests — 43 tests for italic/bold/code rendering ([#204](https://github.com/NousResearch/hermes-agent/pull/204)) — @0xbyt4
- Vision tools type hints + 42 tests ([#792](https://github.com/NousResearch/hermes-agent/pull/792))
- Compressor tool-call boundary regression tests ([#648](https://github.com/NousResearch/hermes-agent/pull/648)) — @intertwine
- Test structure reorganization ([#34](https://github.com/NousResearch/hermes-agent/pull/34)) — @0xbyt4
- Shell noise elimination + fix 36 test failures ([#293](https://github.com/NousResearch/hermes-agent/pull/293)) — @0xbyt4
---
## 🔬 RL & Evaluation Environments
- WebResearchEnv — Multi-step web research RL environment ([#434](https://github.com/NousResearch/hermes-agent/pull/434)) — @jackx707
- Modal sandbox concurrency limits to avoid deadlocks ([#621](https://github.com/NousResearch/hermes-agent/pull/621)) — @voteblake
- Hermes-atropos-environments bundled skill ([#815](https://github.com/NousResearch/hermes-agent/pull/815))
- Local vLLM instance support for evaluation — @dmahan93
- YC-Bench long-horizon agent benchmark environment
- OpenThoughts-TBLite evaluation environment and scripts
---
## 📚 Documentation
- Full documentation website (Docusaurus) with 37+ pages
- Comprehensive platform setup guides for Telegram, Discord, Slack, WhatsApp, Signal, Email
- AGENTS.md — development guide for AI coding assistants
- CONTRIBUTING.md ([#117](https://github.com/NousResearch/hermes-agent/pull/117)) — @Bartok9
- Slash commands reference ([#142](https://github.com/NousResearch/hermes-agent/pull/142)) — @Bartok9
- Comprehensive AGENTS.md accuracy audit ([#732](https://github.com/NousResearch/hermes-agent/pull/732))
- Skin/theme system documentation
- MCP documentation and examples
- Docs accuracy audit — 35+ corrections
- Documentation typo fixes ([#825](https://github.com/NousResearch/hermes-agent/pull/825), [#439](https://github.com/NousResearch/hermes-agent/pull/439)) — @JackTheGit
- CLI config precedence and terminology standardization ([#166](https://github.com/NousResearch/hermes-agent/pull/166), [#167](https://github.com/NousResearch/hermes-agent/pull/167), [#168](https://github.com/NousResearch/hermes-agent/pull/168)) — @Jr-kenny
- Telegram token regex documentation ([#713](https://github.com/NousResearch/hermes-agent/pull/713)) — @VolodymyrBg
---
## 👥 Contributors
Thank you to the 63 contributors who made this release possible! In just over two weeks, the Hermes Agent community came together to ship an extraordinary amount of work.
### Core
- **@teknium1** — 43 PRs: Project lead, core architecture, provider router, sessions, skills, CLI, documentation
### Top Community Contributors
- **@0xbyt4** — 40 PRs: MCP client, Home Assistant, security fixes (symlink, prompt injection, cron), extensive test coverage (6 batches), ascii-art skill, shell noise elimination, skills sync, Telegram formatting, and dozens more
- **@Farukest** — 16 PRs: Security hardening (path traversal, dangerous command detection, symlink boundary), Windows compatibility (POSIX guards, path handling), WhatsApp fixes, max-iterations retry, gateway fixes
- **@aydnOktay** — 11 PRs: Atomic writes (process checkpoints, batch runner, skill files), error handling improvements across Telegram, Discord, code execution, transcription, TTS, and skills
- **@Bartok9** — 9 PRs: CONTRIBUTING.md, slash commands reference, Discord channel topics, think-block stripping, TTS fix, Honcho fix, session count fix, clarify tests
- **@PercyDikec** — 7 PRs: DeepSeek V3 parser fix, /retry response discard, gateway transcript offset, Codex status/visibility, max-iterations retry, setup wizard fix
- **@teyrebaz33** — 5 PRs: Skills enable/disable system, quick commands, personality customization, conditional skill activation
- **@alireza78a** — 5 PRs: Atomic writes (cron, sessions), fd leak prevention, security allowlist, code execution socket cleanup
- **@shitcoinsherpa** — 3 PRs: Windows support (pywinpty, UTF-8 encoding, auth store lock)
- **@Himess** — 3 PRs: Cron/HomeAssistant/Daytona fix, Windows drive-letter parsing, .env permissions
- **@satelerd** — 2 PRs: WhatsApp native media, multi-user session isolation
- **@rovle** — 1 PR: Daytona cloud sandbox backend (4 commits)
- **@erosika** — 1 PR: Honcho AI-native memory integration
- **@dmahan93** — 1 PR: --fuck-it-ship-it flag + RL environment work
- **@SHL0MS** — 1 PR: ASCII video skill
### All Contributors
@0xbyt4, @BP602, @Bartok9, @Farukest, @FurkanL0, @Himess, @Indelwin, @JackTheGit, @JoshuaMart, @Jr-kenny, @OutThisLife, @PercyDikec, @SHL0MS, @Sertug17, @VencentSoliman, @VolodymyrBg, @adavyas, @alireza78a, @areu01or00, @aydnOktay, @batuhankocyigit, @bierlingm, @caentzminger, @cesareth, @ch3ronsa, @christomitov, @cutepawss, @deankerr, @dmahan93, @dogiladeveloper, @dragonkhoi, @erosika, @gamedevCloudy, @gizdusum, @grp06, @intertwine, @jackx707, @jdblackstar, @johnh4098, @kaos35, @kshitijk4poor, @leonsgithub, @luisv-1, @manuelschipper, @mehmetkr-31, @memosr, @PeterFile, @rewbs, @rovle, @rsavitt, @satelerd, @spanishflu-est1918, @stablegenius49, @tars90percent, @tekelala, @teknium1, @teyrebaz33, @tripledoublev, @unmodeled-tyler, @voidborne-d, @voteblake, @ygd58
---
**Full Changelog**: [v0.1.0...v2026.3.12](https://github.com/NousResearch/hermes-agent/compare/v0.1.0...v2026.3.12)

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

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

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

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# 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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# 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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{
"schema_version": 1,
"name": "hermes-agent",
"display_name": "Hermes Agent",
"description": "AI agent by Nous Research with 90+ tools, persistent memory, and multi-platform support",
"icon": "icon.svg",
"distribution": {
"type": "command",
"command": "hermes",
"args": ["acp"]
}
}

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api_endpoint/__init__.py Normal file
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"""
Hermes Agent - API Endpoint & Real-time Logging
This package provides a FastAPI WebSocket endpoint for real-time logging of the Hermes Agent.
Components:
- logging_server: FastAPI server that receives and stores events
- websocket_logger: Client library for sending events from the agent
Usage:
# Start the API endpoint server
python api_endpoint/logging_server.py
# Use in agent code
from api_endpoint.websocket_logger import WebSocketLogger
For more information, see:
- WEBSOCKET_LOGGING_GUIDE.md - User guide
- IMPLEMENTATION_SUMMARY.md - Technical details
"""
from .websocket_logger import WebSocketLogger, SyncWebSocketLogger
__all__ = ['WebSocketLogger', 'SyncWebSocketLogger']
__version__ = '1.0.0'

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#!/usr/bin/env python3
"""
Hermes Agent - Real-time Logging Server
A FastAPI server with WebSocket support that listens for agent execution events
and logs them to JSON files in real-time.
Events tracked:
- User queries
- API calls (requests to the model)
- Assistant responses
- Tool calls (name, parameters, timing)
- Tool results (outputs, errors, duration)
- Final responses
- Session metadata
Usage:
python logging_server.py
Or with uvicorn directly:
uvicorn logging_server:app --host 0.0.0.0 --port 8000 --reload
The server will listen for WebSocket connections at ws://localhost:8000/ws
"""
import json
import asyncio
import threading
from datetime import datetime
from pathlib import Path
from typing import Dict, Any, List, Optional
from fastapi import FastAPI, WebSocket, WebSocketDisconnect, BackgroundTasks
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import uvicorn
from dotenv import load_dotenv
load_dotenv()
# Configuration
LOGS_DIR = Path(__file__).parent / "logs" / "realtime"
LOGS_DIR.mkdir(parents=True, exist_ok=True)
# Initialize FastAPI app
app = FastAPI(
title="Hermes Agent API Endpoint",
description="Manage interface between agent and user",
version="1.0.0"
)
# Add CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
class SessionLogger:
"""
Manages logging for a single agent session.
Each agent execution gets its own SessionLogger instance.
Responsible for:
- Collecting all events for the session
- Saving events to JSON file in real-time
- Managing session lifecycle (start -> events -> finalize)
"""
def __init__(self, session_id: str):
self.session_id = session_id
self.start_time = datetime.now()
self.events: List[Dict[str, Any]] = [] # In-memory list of all events
self.log_file = LOGS_DIR / f"session_{session_id}.json" # Where to save on disk
# Initialize session data structure
# This is what gets saved to the JSON file
self.session_data = {
"session_id": session_id,
"start_time": self.start_time.isoformat(),
"end_time": None, # Set when session completes
"events": [], # Will be populated as events come in
"metadata": {} # Model, toolsets, etc. (set via session_start event)
}
def add_event(self, event: Dict[str, Any]):
"""
Add an event to the session log.
Called every time a new event arrives (query, api_call, tool_call, etc).
IMMEDIATELY saves to file for real-time persistence.
"""
# Add timestamp if not present (should always be added, but safety check)
if "timestamp" not in event:
event["timestamp"] = datetime.now().isoformat()
# Add to in-memory event list
self.events.append(event)
self.session_data["events"] = self.events
# CRITICAL: Save to file immediately (real-time logging)
# This ensures events are persisted even if agent crashes
self._save()
def set_metadata(self, metadata: Dict[str, Any]):
"""Set session metadata (model, toolsets, etc.)."""
self.session_data["metadata"].update(metadata)
self._save()
def finalize(self):
"""Finalize the session and save."""
self.session_data["end_time"] = datetime.now().isoformat()
self._save()
def _save(self):
"""
Save current session data to JSON file.
Called after EVERY event is added - provides real-time persistence.
If file writing fails, logs error but continues (doesn't crash server).
"""
try:
# Write complete session data to JSON file
# indent=2 makes it human-readable
# ensure_ascii=False preserves Unicode characters
with open(self.log_file, 'w', encoding='utf-8') as f:
json.dump(self.session_data, f, indent=2, ensure_ascii=False)
except Exception as e:
print(f"❌ Error saving session log: {e}")
class ConnectionManager:
"""
Manages WebSocket connections and active sessions.
Global singleton that:
- Tracks all active WebSocket connections (for broadcasting)
- Manages all SessionLogger instances (one per agent session)
- Coordinates between WebSocket events and file logging
"""
def __init__(self):
self.active_connections: List[WebSocket] = [] # All connected WebSocket clients
self.sessions: Dict[str, SessionLogger] = {} # session_id -> SessionLogger mapping
async def connect(self, websocket: WebSocket):
"""Accept a new WebSocket connection."""
await websocket.accept()
self.active_connections.append(websocket)
print(f"✅ WebSocket connected. Active connections: {len(self.active_connections)}")
def disconnect(self, websocket: WebSocket):
"""Remove a WebSocket connection."""
if websocket in self.active_connections:
self.active_connections.remove(websocket)
print(f"❌ WebSocket disconnected. Active connections: {len(self.active_connections)}")
def get_or_create_session(self, session_id: str) -> SessionLogger:
"""
Get existing session logger or create a new one.
Called when an event arrives for a session. Creates SessionLogger
on first event, reuses it for subsequent events from same session.
"""
if session_id not in self.sessions:
# First time seeing this session - create new logger
self.sessions[session_id] = SessionLogger(session_id)
print(f"📝 Created new session: {session_id}")
return self.sessions[session_id]
def finalize_session(self, session_id: str):
"""Finalize and clean up a session."""
if session_id in self.sessions:
self.sessions[session_id].finalize()
print(f"✅ Session finalized: {session_id}")
async def broadcast(self, message: Dict[str, Any]):
"""
Broadcast a message to all connected WebSocket clients.
Allows multiple clients (e.g., multiple browser tabs) to watch
the same agent session in real-time. Future UI feature.
"""
disconnected = []
for connection in self.active_connections:
try:
await connection.send_json(message)
except Exception:
# Connection closed - mark for removal
disconnected.append(connection)
# Clean up disconnected clients silently
for conn in disconnected:
if conn in self.active_connections:
self.active_connections.remove(conn)
# Global connection manager
manager = ConnectionManager()
# Request/Response models for API endpoints
class AgentRequest(BaseModel):
"""Request model for starting an agent run."""
query: str
model: str = "claude-sonnet-4-5-20250929"
base_url: str = "https://api.anthropic.com/v1/"
enabled_toolsets: Optional[List[str]] = None
disabled_toolsets: Optional[List[str]] = None
max_turns: int = 10
mock_web_tools: bool = False
mock_delay: int = 60
verbose: bool = False
class AgentResponse(BaseModel):
"""Response model for agent run request."""
status: str
session_id: str
message: str
@app.get("/")
async def root():
"""Root endpoint - server status."""
return {
"status": "running",
"service": "Hermes Agent Logging Server",
"websocket_url": "ws://localhost:8000/ws",
"active_connections": len(manager.active_connections),
"active_sessions": len(manager.sessions),
"logs_directory": str(LOGS_DIR)
}
@app.get("/sessions")
async def list_sessions():
"""List all active and recent sessions."""
# Get all session log files
session_files = list(LOGS_DIR.glob("session_*.json"))
sessions = []
for session_file in sorted(session_files, key=lambda x: x.stat().st_mtime, reverse=True):
try:
with open(session_file, 'r', encoding='utf-8') as f:
session_data = json.load(f)
sessions.append({
"session_id": session_data.get("session_id"),
"start_time": session_data.get("start_time"),
"end_time": session_data.get("end_time"),
"event_count": len(session_data.get("events", [])),
"file": str(session_file)
})
except Exception as e:
print(f"⚠️ Error reading session file {session_file}: {e}")
return {
"total_sessions": len(sessions),
"sessions": sessions
}
@app.get("/sessions/{session_id}")
async def get_session(session_id: str):
"""Get detailed data for a specific session."""
session_file = LOGS_DIR / f"session_{session_id}.json"
if not session_file.exists():
return {"error": "Session not found"}, 404
try:
with open(session_file, 'r', encoding='utf-8') as f:
return json.load(f)
except Exception as e:
return {"error": f"Failed to load session: {str(e)}"}, 500
@app.post("/agent/run", response_model=AgentResponse)
async def run_agent(request: AgentRequest, background_tasks: BackgroundTasks):
"""
Start an agent run with specified parameters.
This endpoint triggers an agent execution in the background and returns immediately.
The agent will connect to the WebSocket endpoint to send real-time events.
Args:
request: AgentRequest with query and configuration
background_tasks: FastAPI background tasks for async execution
Returns:
AgentResponse with session_id for tracking
"""
import uuid
import sys
import os
# Generate session ID for this run - we'll pass it to the agent
session_id = str(uuid.uuid4())
# Add parent directory to path to import run_agent
parent_dir = str(Path(__file__).parent.parent)
if parent_dir not in sys.path:
sys.path.insert(0, parent_dir)
from run_agent import AIAgent
# Run agent in background thread (not blocking the API)
def run_agent_background():
"""Run agent in a separate thread."""
try:
# Initialize agent with WebSocket logging enabled
agent = AIAgent(
base_url=request.base_url,
model=request.model,
api_key=os.getenv("ANTHROPIC_API_KEY"),
max_iterations=request.max_turns,
enabled_toolsets=request.enabled_toolsets,
disabled_toolsets=request.disabled_toolsets,
save_trajectories=False,
verbose_logging=request.verbose,
enable_websocket_logging=True, # Always enable for UI
websocket_server="ws://localhost:8000/ws",
mock_web_tools=request.mock_web_tools,
mock_delay=request.mock_delay
)
# Run conversation with our session_id
result = agent.run_conversation(
request.query,
session_id=session_id # Pass session_id so it matches
)
print(f"✅ Agent run completed: {session_id[:8]}...")
print(f" Final response: {result['final_response'][:100] if result.get('final_response') else 'No response'}...")
except Exception as e:
print(f"❌ Error running agent {session_id[:8]}...: {e}")
import traceback
traceback.print_exc()
# Start agent in background thread
thread = threading.Thread(target=run_agent_background, daemon=True)
thread.start()
return AgentResponse(
status="started",
session_id=session_id,
message=f"Agent started with session ID: {session_id}"
)
@app.get("/tools")
async def get_available_tools():
"""Get list of available toolsets and tools."""
try:
import sys
parent_dir = str(Path(__file__).parent.parent)
if parent_dir not in sys.path:
sys.path.insert(0, parent_dir)
from toolsets import get_all_toolsets, get_toolset_info
all_toolsets = get_all_toolsets()
toolsets_info = []
for name in all_toolsets.keys():
info = get_toolset_info(name)
if info:
toolsets_info.append({
"name": name,
"description": info['description'],
"tool_count": info['tool_count'],
"resolved_tools": info['resolved_tools']
})
return {
"toolsets": toolsets_info
}
except Exception as e:
return {"error": f"Failed to load tools: {str(e)}"}
@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
"""
WebSocket endpoint for receiving real-time agent events.
This is the main entry point for all logging. Agents connect here and send events.
Message Flow:
1. Agent connects to ws://localhost:8000/ws
2. Agent sends events as JSON messages
3. Server parses event_type and routes to appropriate handler
4. Event is added to SessionLogger (saved to file)
5. Event is broadcast to all connected clients
6. Acknowledgment sent back to agent
Expected message format:
{
"session_id": "unique-session-id", // Links event to specific session
"event_type": "query" | "api_call" | ..., // What kind of event
"data": { ... event-specific data ... } // Event payload
}
"""
# Accept the WebSocket connection
await manager.connect(websocket)
try:
# Main event loop - runs until client disconnects
while True:
# Receive message from client (agent)
# This is a blocking call - waits for next message
message = await websocket.receive_json()
# Parse the standard message structure
session_id = message.get("session_id") # Which agent session
event_type = message.get("event_type") # What kind of event
data = message.get("data", {}) # Event payload
# Validate: session_id is required
if not session_id:
await websocket.send_json({
"error": "session_id is required"
})
continue
# Get or create SessionLogger for this session
# First event creates it, subsequent events reuse it
session = manager.get_or_create_session(session_id)
# Route event to appropriate handler based on event_type
# Each handler extracts relevant data and adds to session log
if event_type == "session_start":
# Initial event - sent when agent first connects
# Contains metadata about the session (model, toolsets, etc.)
session.set_metadata(data)
print(f"🚀 Session started: {session_id}")
elif event_type == "query":
# User query
session.add_event({
"type": "query",
"query": data.get("query"),
"toolsets": data.get("toolsets"),
"model": data.get("model")
})
print(f"📝 Query logged: {data.get('query', '')[:60]}...")
elif event_type == "api_call":
# API call to model
session.add_event({
"type": "api_call",
"call_number": data.get("call_number"),
"message_count": data.get("message_count"),
"has_tools": data.get("has_tools")
})
print(f"🔄 API call #{data.get('call_number')} logged")
elif event_type == "response":
# Assistant response
session.add_event({
"type": "response",
"call_number": data.get("call_number"),
"content": data.get("content"),
"has_tool_calls": data.get("has_tool_calls"),
"tool_call_count": data.get("tool_call_count"),
"duration": data.get("duration")
})
print(f"🤖 Response logged: {data.get('content', '')[:60]}...")
elif event_type == "tool_call":
# Tool execution
session.add_event({
"type": "tool_call",
"call_number": data.get("call_number"),
"tool_index": data.get("tool_index"),
"tool_name": data.get("tool_name"),
"parameters": data.get("parameters"),
"tool_call_id": data.get("tool_call_id")
})
print(f"🔧 Tool call logged: {data.get('tool_name')}")
elif event_type == "tool_result":
# Tool result - captures output from tool execution
# Now includes BOTH truncated preview AND full raw result
session.add_event({
"type": "tool_result",
"call_number": data.get("call_number"),
"tool_index": data.get("tool_index"),
"tool_name": data.get("tool_name"),
"result": data.get("result"), # Truncated preview (1000 chars)
"raw_result": data.get("raw_result"), # NEW: Full untruncated result
"error": data.get("error"),
"duration": data.get("duration"),
"tool_call_id": data.get("tool_call_id")
})
# Enhanced logging with size information
if data.get("error"):
print(f"❌ Tool error logged: {data.get('tool_name')}")
else:
# Show size of raw result to indicate data volume
raw_size = len(data.get("raw_result", "")) if data.get("raw_result") else len(data.get("result", ""))
size_kb = raw_size / 1024
print(f"✅ Tool result logged: {data.get('tool_name')} ({size_kb:.1f} KB)")
elif event_type == "error":
# Error event
session.add_event({
"type": "error",
"error_message": data.get("error_message"),
"call_number": data.get("call_number")
})
print(f"❌ Error logged: {data.get('error_message', '')[:60]}...")
elif event_type == "complete":
# Session complete
session.add_event({
"type": "complete",
"final_response": data.get("final_response"),
"total_calls": data.get("total_calls"),
"completed": data.get("completed")
})
manager.finalize_session(session_id)
print(f"🎉 Session complete: {session_id}")
else:
# Unknown event type - log it anyway
session.add_event({
"type": event_type or "unknown",
**data
})
print(f"⚠️ Unknown event type: {event_type}")
# Broadcast event to all connected clients (for future real-time UI)
# Allows multiple browsers/dashboards to watch same session live
await manager.broadcast({
"session_id": session_id,
"event_type": event_type,
"timestamp": datetime.now().isoformat(),
"data": data
})
# Send acknowledgment back to sender
# Confirms event was received and logged
# Handle case where client disconnects before we can ack
try:
await websocket.send_json({
"status": "logged",
"session_id": session_id,
"event_type": event_type
})
except Exception:
# Connection closed before ack - this is normal for "complete" event
# Client disconnects after sending, so we can't ack
pass
except WebSocketDisconnect:
manager.disconnect(websocket)
except Exception as e:
print(f"❌ WebSocket error: {e}")
manager.disconnect(websocket)
def main(host: str = "0.0.0.0", port: int = 8000, reload: bool = False):
"""
Start the logging server.
Args:
host: Host to bind to (default: 0.0.0.0)
port: Port to run on (default: 8000)
reload: Enable auto-reload on file changes (default: False)
"""
print("🚀 Hermes Agent Logging Server")
print("=" * 50)
print(f"📂 Logs directory: {LOGS_DIR}")
print(f"🌐 Server starting at http://{host}:{port}")
print(f"🔌 WebSocket endpoint: ws://{host}:{port}/ws")
print(f"🔄 Auto-reload: {'enabled' if reload else 'disabled'}")
print("\n📡 Ready to receive agent events...")
print("=" * 50)
uvicorn.run(
"logging_server:app",
host=host,
port=port,
reload=reload,
log_level="info",
timeout_keep_alive=600 # Keep HTTP/WS connections alive for 10 minutes of inactivity
# Note: WebSocket ping/pong disabled in client to avoid timeout during blocked event loop
)
if __name__ == "__main__":
import fire
fire.Fire(main)

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#!/bin/bash
# Test script for WebSocket logging system
#
# This script demonstrates the complete WebSocket logging workflow:
# 1. Starts the logging server
# 2. Runs the agent with WebSocket logging enabled
# 3. Shows the logged data
#
# Usage: ./test_websocket_logging.sh
set -e # Exit on error
echo "🧪 Testing WebSocket Logging System"
echo "===================================="
echo ""
# Check if required packages are installed
echo "📦 Checking dependencies..."
python -c "import fastapi; import uvicorn; import websockets" 2>/dev/null || {
echo "❌ Missing dependencies. Installing..."
pip install fastapi uvicorn websockets
}
echo "✅ Dependencies OK"
echo ""
# Start the logging server in the background
echo "🚀 Starting logging server..."
python api_endpoint/logging_server.py --port 8000 &
SERVER_PID=$!
# Give server time to start
sleep 2
# Check if server is running
if ps -p $SERVER_PID > /dev/null; then
echo "✅ Logging server started (PID: $SERVER_PID)"
else
echo "❌ Failed to start logging server"
exit 1
fi
echo ""
echo "🤖 Running agent with WebSocket logging..."
echo ""
# Run the agent with WebSocket logging
python run_agent.py \
--enabled_toolsets web \
--enable_websocket_logging \
--query "What are the top 3 programming languages in 2025?" \
--max_turns 5
echo ""
echo "✅ Agent execution complete!"
echo ""
# Show the most recent log file
echo "📊 Viewing logged session data..."
echo ""
LATEST_LOG=$(ls -t logs/realtime/session_*.json 2>/dev/null | head -1)
if [ -f "$LATEST_LOG" ]; then
echo "📄 Log file: $LATEST_LOG"
echo ""
# Pretty print the JSON if jq is available
if command -v jq &> /dev/null; then
echo "Event summary:"
jq '.events[] | {type: .type, timestamp: .timestamp}' "$LATEST_LOG"
echo ""
echo "Total events: $(jq '.events | length' "$LATEST_LOG")"
else
echo "Content (install 'jq' for pretty printing):"
cat "$LATEST_LOG"
fi
else
echo "⚠️ No log files found in logs/realtime/"
fi
echo ""
echo "🛑 Stopping logging server..."
kill $SERVER_PID 2>/dev/null || true
echo "✅ Test complete!"
echo ""
echo "Next steps:"
echo " 1. Start server: python api_endpoint/logging_server.py"
echo " 2. Run agent: python run_agent.py --enable_websocket_logging --query \"...\""
echo " 3. View logs: http://localhost:8000/sessions"

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"""
WebSocket Connection Pool - Persistent Connection Manager
This module provides a singleton WebSocket connection that persists across
multiple agent runs. This is a more robust architecture than creating a new
connection for each run.
Benefits:
- No timeout issues (connection stays alive indefinitely)
- No reconnection overhead (connect once)
- Supports parallel agent runs (multiple sessions share one socket)
- Proper shutdown handling (SIGTERM/SIGINT)
- Thread-safe concurrent sends
"""
import asyncio
import signal
import websockets
from typing import Optional, Dict, Any
import json
import atexit
import sys
import threading
from datetime import datetime
class WebSocketConnectionPool:
"""
Singleton WebSocket connection manager.
Maintains a single persistent connection to the logging server
that all agent sessions can use. Handles graceful shutdown.
Usage:
# Get singleton instance
pool = WebSocketConnectionPool()
# Connect (idempotent - safe to call multiple times)
await pool.connect()
# Send events (thread-safe, multiple sessions can call concurrently)
await pool.send_event("query", session_id, {...})
# Shutdown handled automatically on SIGTERM/SIGINT
"""
_instance: Optional['WebSocketConnectionPool'] = None
def __new__(cls):
"""Ensure only one instance exists (singleton pattern)."""
if cls._instance is None:
cls._instance = super().__new__(cls)
cls._instance._initialized = False
return cls._instance
def __init__(self):
"""Initialize the connection pool (only once)."""
if getattr(self, '_initialized', False):
return
self.websocket: Optional[websockets.WebSocketClientProtocol] = None
self.server_url: str = "ws://localhost:8000/ws"
self.connected: bool = False
# Store reference to loop for signal handlers
# Agent code should never close event loops when using persistent connections
self.loop: Optional[asyncio.AbstractEventLoop] = None
# Locks are created lazily when event loop exists
self._send_lock: Optional[asyncio.Lock] = None
self._connect_lock: Optional[asyncio.Lock] = None
self._locks_loop: Optional[asyncio.AbstractEventLoop] = None # Track which loop created locks
self._init_lock = threading.Lock() # Thread-safe lock initialization
self._shutdown_in_progress = False
self._initialized = True
# Register shutdown handlers for graceful cleanup
# These ensure WebSocket is closed properly on exit
signal.signal(signal.SIGTERM, self._signal_handler)
signal.signal(signal.SIGINT, self._signal_handler)
atexit.register(self._cleanup_sync)
print("🔌 WebSocket connection pool initialized")
def _ensure_locks(self):
"""
Lazy initialization of asyncio locks with thread safety and loop tracking.
Locks must be created when an event loop exists, not at import time.
If the event loop changes between runs, locks must be recreated because
asyncio.Lock objects are bound to the loop that created them.
This is called before any async operation that needs locks.
Uses a threading.Lock to prevent race conditions during initialization.
"""
with self._init_lock: # Thread-safe initialization
try:
current_loop = asyncio.get_event_loop()
except RuntimeError:
# No event loop in current thread
return
# Recreate locks if:
# 1. Locks don't exist yet, OR
# 2. Event loop has changed (locks are bound to the loop that created them)
if self._locks_loop is not current_loop or self._send_lock is None:
self._send_lock = asyncio.Lock()
self._connect_lock = asyncio.Lock()
self._locks_loop = current_loop
async def connect(self, server_url: str = "ws://localhost:8000/ws") -> bool:
"""
Connect to WebSocket server.
This is idempotent - safe to call multiple times. If already connected,
does nothing. If connection failed previously, will retry.
Args:
server_url: WebSocket server URL (default: ws://localhost:8000/ws)
Returns:
bool: True if connected successfully, False otherwise
"""
# Ensure locks exist (lazy initialization)
self._ensure_locks()
async with self._connect_lock:
# Always update loop reference to current loop (even if already connected)
# This ensures signal handlers and cleanup use the correct loop
self.loop = asyncio.get_event_loop()
# Already connected - nothing to do
if self.connected and self.websocket:
return True
try:
self.server_url = server_url
# Establish persistent WebSocket connection
# No ping/pong needed since connection stays open indefinitely
self.websocket = await websockets.connect(
server_url,
ping_interval=None, # Disable ping/pong (not needed for persistent connection)
max_size=10 * 1024 * 1024, # 10MB max message size for large tool results
open_timeout=10, # 10s timeout for initial connection
close_timeout=5 # 5s timeout for close handshake
)
self.connected = True
print(f"✅ Connected to logging server (persistent): {server_url}")
return True
except Exception as e:
print(f"⚠️ Failed to connect to logging server: {e}")
self.connected = False
self.websocket = None
return False
async def send_event(
self,
event_type: str,
session_id: str,
data: Dict[str, Any],
retry: bool = True
) -> bool:
"""
Send event to logging server (thread-safe).
Multiple agent runs can call this concurrently. The send lock ensures
only one message is sent at a time (WebSocket protocol requirement).
Args:
event_type: Type of event (query, api_call, response, tool_call, tool_result, error, complete)
session_id: Unique session identifier
data: Event-specific data dictionary
retry: Whether to retry connection if disconnected (default: True)
Returns:
bool: True if sent successfully, False otherwise
"""
# Try to connect if not connected (or reconnect if disconnected)
if not self.connected or not self.websocket:
if retry:
await self.connect()
if not self.connected:
return False # Give up if connection fails
# Ensure locks exist (lazy initialization)
self._ensure_locks()
# Lock to prevent concurrent sends (WebSocket requires sequential sends)
async with self._send_lock:
try:
# Create standardized message format
message = {
"session_id": session_id,
"event_type": event_type,
"data": data,
"timestamp": datetime.now().isoformat()
}
# Send message as JSON
await self.websocket.send(json.dumps(message))
# Wait for server acknowledgment (with timeout)
# This confirms the server received and processed the event
try:
response = await asyncio.wait_for(
self.websocket.recv(),
timeout=2.0 # Increased to 2s for busy servers
)
# Successfully received acknowledgment
return True
except asyncio.TimeoutError:
# No response within timeout - that's OK, message likely sent
# Server might be busy processing
return True
except websockets.exceptions.ConnectionClosed:
print(f"⚠️ WebSocket connection closed unexpectedly")
self.connected = False
# Try to reconnect and resend (one retry)
if retry:
print("🔄 Attempting to reconnect...")
if await self.connect():
# Recursively call with retry=False to avoid infinite loop
return await self.send_event(event_type, session_id, data, retry=False)
return False
except Exception as e:
print(f"⚠️ Error sending event: {e}")
self.connected = False
return False
async def disconnect(self):
"""
Gracefully close the WebSocket connection.
Called on shutdown (SIGTERM/SIGINT/exit). Ensures proper cleanup.
"""
if self._shutdown_in_progress:
return # Already shutting down
self._shutdown_in_progress = True
if self.websocket and self.connected:
try:
await self.websocket.close()
self.connected = False
print("✅ WebSocket connection pool closed gracefully")
except Exception as e:
print(f"⚠️ Error closing WebSocket: {e}")
self._shutdown_in_progress = False
def _signal_handler(self, signum, frame):
"""
Handle SIGTERM/SIGINT signals for graceful shutdown.
When user presses Ctrl+C or system sends SIGTERM, this ensures
the WebSocket is closed properly before exit.
"""
print(f"\n🛑 Received signal {signum}, closing WebSocket connection pool...")
# Check if we have a valid loop and are connected
if self.loop and not self.loop.is_closed() and self.connected and not self._shutdown_in_progress:
try:
# If loop is not running, we can wait for disconnect
if not self.loop.is_running():
self.loop.run_until_complete(self.disconnect())
else:
# Loop is running, can't wait for task - just mark disconnected
# The disconnect task would be cancelled when we exit anyway
self.connected = False
print("⚠️ Loop is running, marking disconnected without waiting")
except Exception as e:
print(f"⚠️ Error during signal handler cleanup: {e}")
# Exit gracefully
sys.exit(0)
def _cleanup_sync(self):
"""
Cleanup at exit (atexit handler).
This is a fallback in case signal handlers don't fire.
Called when Python interpreter shuts down normally.
"""
if self.loop and not self.loop.is_closed() and self.connected and not self._shutdown_in_progress:
try:
# Try to run disconnect synchronously
self.loop.run_until_complete(self.disconnect())
except Exception:
# Ignore errors during exit cleanup
pass
def is_connected(self) -> bool:
"""Check if currently connected to server."""
return self.connected and self.websocket is not None
def get_stats(self) -> Dict[str, Any]:
"""Get connection statistics for debugging."""
return {
"connected": self.connected,
"server_url": self.server_url,
"shutdown_in_progress": self._shutdown_in_progress,
"has_websocket": self.websocket is not None,
"has_loop": self.loop is not None
}
# Global singleton instance
# Import this in other modules: from websocket_connection_pool import ws_pool
ws_pool = WebSocketConnectionPool()
# Convenience functions for direct usage
async def connect(server_url: str = "ws://localhost:8000/ws") -> bool:
"""Connect to logging server (convenience function)."""
return await ws_pool.connect(server_url)
async def send_event(event_type: str, session_id: str, data: Dict[str, Any]) -> bool:
"""Send event to logging server (convenience function)."""
return await ws_pool.send_event(event_type, session_id, data)
async def disconnect():
"""Disconnect from logging server (convenience function)."""
await ws_pool.disconnect()
def is_connected() -> bool:
"""Check if connected to logging server (convenience function)."""
return ws_pool.is_connected()
# ============================================================================
# SYNCHRONOUS API FOR AGENT LAYER
# ============================================================================
# These functions provide a clean abstraction that hides event loop management
# from the agent layer. Agent code should ONLY use these functions.
def connect_sync(server_url: str = "ws://localhost:8000/ws") -> bool:
"""
Synchronous connect - handles event loop internally.
Creates a persistent event loop in a background thread if needed.
This is thread-safe and can be called from any thread (including agent background threads).
"""
import threading
# If pool doesn't have a loop yet or it's closed, we need to start one
if not ws_pool.loop or ws_pool.loop.is_closed():
# Start connection in a background thread with its own loop
result_container = {"success": False, "error": None, "connected": False}
def run_in_thread():
try:
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
ws_pool.loop = loop # Store the loop in the pool
# Connect to WebSocket
result_container["success"] = loop.run_until_complete(ws_pool.connect(server_url))
result_container["connected"] = True
# Keep loop running forever for future send_event calls
# This is critical - the loop must stay alive for run_coroutine_threadsafe to work
loop.run_forever()
except Exception as e:
result_container["error"] = str(e)
print(f"❌ Error in WebSocket connection thread: {e}")
finally:
# Clean up if loop stops
if loop.is_running():
loop.close()
thread = threading.Thread(target=run_in_thread, daemon=True, name="WebSocket-EventLoop")
thread.start()
# Wait for connection to complete (but not for loop to exit - it runs forever)
import time
timeout = 10.0
start = time.time()
while not result_container["connected"] and (time.time() - start) < timeout:
time.sleep(0.1)
if result_container["error"]:
print(f"⚠️ Connection failed: {result_container['error']}")
return result_container["success"]
else:
# Pool already has a loop, use run_coroutine_threadsafe
try:
future = asyncio.run_coroutine_threadsafe(
ws_pool.connect(server_url),
ws_pool.loop
)
return future.result(timeout=10.0)
except Exception as e:
print(f"⚠️ Connection failed: {e}")
return False
def send_event_sync(event_type: str, session_id: str, data: Dict[str, Any]) -> bool:
"""
Synchronous send event - handles event loop internally.
Uses the WebSocket pool's own event loop to avoid loop conflicts.
This is critical when called from background threads (like agent execution).
This is thread-safe and works correctly even when agent runs in a different thread.
"""
if not ws_pool.loop or not ws_pool.loop.is_running():
# No event loop running - can't send
print("⚠️ WebSocket pool has no running event loop")
return False
try:
# Use run_coroutine_threadsafe to submit to the WebSocket pool's loop
# This works across threads - submits the coroutine to the correct loop
future = asyncio.run_coroutine_threadsafe(
ws_pool.send_event(event_type, session_id, data),
ws_pool.loop # ← Use the pool's loop, not current thread's loop
)
# Wait for completion (with timeout to avoid hanging)
return future.result(timeout=5.0)
except TimeoutError:
print(f"⚠️ Timeout sending event {event_type}")
return False
except Exception as e:
print(f"⚠️ Error sending event: {e}")
return False
def disconnect_sync():
"""
Synchronous disconnect - handles event loop internally.
Thread-safe disconnect that works from any thread.
"""
if ws_pool.loop and ws_pool.loop.is_running():
try:
future = asyncio.run_coroutine_threadsafe(
ws_pool.disconnect(),
ws_pool.loop
)
return future.result(timeout=5.0)
except Exception as e:
print(f"⚠️ Error disconnecting: {e}")
return False
return True

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@@ -0,0 +1,387 @@
#!/usr/bin/env python3
"""
WebSocket Logger Client
Simple client for sending agent events to the logging server via WebSocket.
Used by the agent to log events in real-time during execution.
"""
import json
import asyncio
from typing import Dict, Any, Optional
from datetime import datetime
import websockets
class WebSocketLogger:
"""
Client for logging agent events via WebSocket.
Usage:
logger = WebSocketLogger("unique-session-id")
await logger.connect()
await logger.log_query("What is Python?", model="gpt-4")
await logger.log_api_call(call_number=1)
await logger.log_response(call_number=1, content="Python is...")
await logger.disconnect()
"""
def __init__(
self,
session_id: str,
server_url: str = "ws://localhost:8000/ws",
enabled: bool = True
):
"""
Initialize WebSocket logger.
Args:
session_id: Unique identifier for this agent session
server_url: WebSocket server URL (default: ws://localhost:8000/ws)
enabled: Whether logging is enabled (default: True)
"""
self.session_id = session_id
self.server_url = server_url
self.enabled = enabled
self.websocket: Optional[websockets.WebSocketClientProtocol] = None
self.connected = False
self.reconnect_count = 0 # Track reconnections for debugging
async def connect(self):
"""
Connect to the WebSocket logging server.
Establishes WebSocket connection and sends initial session_start event.
If connection fails, gracefully disables logging (agent continues normally).
"""
if not self.enabled:
return
try:
# Establish WebSocket connection to the server
# Use VERY LONG ping intervals to avoid timeout during long tool execution
# The event loop is blocked during tool execution, so we can't process pings
# Setting to very large values (1 hour) effectively disables it
self.websocket = await websockets.connect(
self.server_url,
ping_interval=3600, # 1 hour - effectively disabled (event loop blocked anyway)
ping_timeout=3600, # 1 hour timeout for pong response
close_timeout=10, # Timeout for close handshake
max_size=10 * 1024 * 1024, # 10MB max message size (for large raw_results)
open_timeout=10 # Timeout for initial connection
)
self.connected = True
print(f"✅ Connected to logging server (ping/pong: 3600s intervals): {self.server_url}")
# Send initial session_start event
# This tells the server to create a new SessionLogger for this session
await self._send_event("session_start", {
"session_id": self.session_id,
"start_time": datetime.now().isoformat()
})
except Exception as e:
# Connection failed - disable logging but don't crash the agent
print(f"⚠️ Failed to connect to logging server: {e}")
print(f" Logging will be disabled for this session.")
self.enabled = False
self.connected = False
async def disconnect(self):
"""Disconnect from the WebSocket server."""
if self.websocket and self.connected:
try:
await self.websocket.close()
self.connected = False
print(f"✅ Disconnected from logging server")
except Exception as e:
print(f"⚠️ Error disconnecting: {e}")
async def _send_event(self, event_type: str, data: Dict[str, Any]):
"""
Send an event to the logging server.
This is the core method that sends all events via WebSocket.
Creates a standardized message format and handles acknowledgments.
Args:
event_type: Type of event (query, api_call, response, tool_call, tool_result, error, complete)
data: Event data dictionary containing event-specific information
"""
# Safety check: Don't send if logging is disabled
if not self.enabled:
return
# Auto-reconnect if connection was lost
if not self.connected or not self.websocket:
try:
self.reconnect_count += 1
print(f"🔄 Reconnecting to logging server (attempt #{self.reconnect_count})...")
await self.connect()
print(f"✅ Reconnected successfully!")
except Exception as e:
print(f"⚠️ Failed to reconnect: {e}")
self.enabled = False # Disable logging after failed reconnect
return
try:
# Create standardized message structure
# All events follow this format for consistent server-side handling
message = {
"session_id": self.session_id, # Links event to specific agent session
"event_type": event_type, # Identifies what kind of event this is
"data": data # Event-specific payload
}
# Send message as JSON string over WebSocket
await self.websocket.send(json.dumps(message))
# Wait for server acknowledgment (with 1 second timeout)
# This ensures the server received and processed the event
try:
response = await asyncio.wait_for(
self.websocket.recv(),
timeout=1.0
)
# Server sends back: {"status": "logged", "session_id": "...", "event_type": "..."}
# We don't need to process it, just confirms receipt
except asyncio.TimeoutError:
# No response within 1 second - that's okay, continue anyway
# Server might be busy or network slow, but event was likely sent
pass
except Exception as e:
# Log error but don't crash - graceful degradation
# Agent should continue working even if logging fails
error_str = str(e)
# Check if connection was closed (error 1011 = keepalive ping timeout)
if "1011" in error_str or "closed" in error_str.lower():
print(f"⚠️ WebSocket connection closed: {error_str}")
self.connected = False # Mark as disconnected
# Don't try to send more events - connection is dead
else:
print(f"⚠️ Error sending event to logging server: {e}")
# Don't disable entirely or try to reconnect - just continue with logging disabled
# Convenience methods for specific event types
async def log_query(
self,
query: str,
model: str = None,
toolsets: list = None
):
"""
Log a user query (the question/task given to the agent).
This is typically the first event in a session after connection.
Captures what the user asked and which model/tools will be used.
"""
await self._send_event("query", {
"query": query, # The user's question/instruction
"model": model, # Which AI model is being used
"toolsets": toolsets # Which tool categories are enabled
})
async def log_api_call(
self,
call_number: int,
message_count: int = None,
has_tools: bool = None
):
"""
Log an API call to the AI model.
Called right before sending a request to the model (OpenAI/Anthropic/etc).
Helps track how many API calls are being made and conversation length.
"""
await self._send_event("api_call", {
"call_number": call_number, # Sequential number (1, 2, 3...)
"message_count": message_count, # How many messages in conversation so far
"has_tools": has_tools # Whether tools are available to the model
})
async def log_response(
self,
call_number: int,
content: str = None,
has_tool_calls: bool = False,
tool_call_count: int = 0,
duration: float = None
):
"""
Log an assistant response from the AI model.
Called after receiving a response from the API.
Captures what the model said and whether it wants to use tools.
"""
await self._send_event("response", {
"call_number": call_number, # Which API call this response is from
"content": content, # What the model said (text response)
"has_tool_calls": has_tool_calls, # Did model request tool execution?
"tool_call_count": tool_call_count, # How many tools does it want to call?
"duration": duration # How long the API call took (seconds)
})
async def log_tool_call(
self,
call_number: int,
tool_index: int,
tool_name: str,
parameters: Dict[str, Any],
tool_call_id: str = None
):
"""
Log a tool call (before executing the tool).
Captures which tool is being called and with what parameters.
This happens BEFORE the tool runs, so no results yet.
"""
await self._send_event("tool_call", {
"call_number": call_number, # Which API call requested this tool
"tool_index": tool_index, # Which tool in the sequence (if multiple)
"tool_name": tool_name, # Name of tool (e.g., "web_search", "web_extract")
"parameters": parameters, # Arguments passed to the tool (e.g., {"query": "Python", "limit": 5})
"tool_call_id": tool_call_id # Unique ID to link call with result
})
async def log_tool_result(
self,
call_number: int,
tool_index: int,
tool_name: str,
result: str = None,
error: str = None,
duration: float = None,
tool_call_id: str = None,
raw_result: str = None # NEW: Full untruncated result for verification
):
"""
Log a tool result (output from tool execution).
Captures both a truncated preview (for UI display) and the full raw result
(for verification and debugging). This is especially important for web tools
where you want to see what was scraped vs what the LLM processed.
Args:
call_number: Which API call this tool was part of
tool_index: Which tool in the sequence (1st, 2nd, etc.)
tool_name: Name of the tool that was executed
result: Tool output (will be truncated to 1000 chars for preview)
error: Error message if tool failed
duration: How long the tool took to execute (seconds)
tool_call_id: Unique ID linking this result to the tool call
raw_result: NEW - Full untruncated result for verification/debugging
"""
await self._send_event("tool_result", {
"call_number": call_number,
"tool_index": tool_index,
"tool_name": tool_name,
"result": result[:1000] if result else None, # Truncated preview (1000 chars max)
"raw_result": raw_result, # NEW: Full result - can be 100KB+ for web scraping
"error": error,
"duration": duration,
"tool_call_id": tool_call_id
})
async def log_error(
self,
error_message: str,
call_number: int = None
):
"""
Log an error that occurred during agent execution.
Captures exceptions, API failures, or other issues.
"""
await self._send_event("error", {
"error_message": error_message, # Description of what went wrong
"call_number": call_number # Which API call caused the error (if applicable)
})
async def log_complete(
self,
final_response: str = None,
total_calls: int = None,
completed: bool = True
):
"""
Log session completion (final event before disconnecting).
Marks the end of the agent's execution and provides summary info.
"""
await self._send_event("complete", {
"final_response": final_response[:500] if final_response else None, # Truncated summary of final answer
"total_calls": total_calls, # How many API calls were made total
"completed": completed # Did it complete successfully? (true/false)
})
# Synchronous wrapper for convenience
class SyncWebSocketLogger:
"""
Synchronous wrapper around WebSocketLogger.
For use in synchronous code - creates an event loop internally.
"""
def __init__(self, session_id: str, server_url: str = "ws://localhost:8000/ws", enabled: bool = True):
self.logger = WebSocketLogger(session_id, server_url, enabled)
self.loop = None
def connect(self):
"""Connect to server (synchronous)."""
self.loop = asyncio.new_event_loop()
asyncio.set_event_loop(self.loop)
self.loop.run_until_complete(self.logger.connect())
def disconnect(self):
"""Disconnect from server (synchronous)."""
if self.loop:
self.loop.run_until_complete(self.logger.disconnect())
self.loop.close()
def _run_async(self, coro):
"""
Run an async coroutine synchronously.
Bridge between sync code (agent) and async code (WebSocket).
Uses event loop to execute async operations in sync context.
"""
if self.loop and self.loop.is_running():
# Already in event loop, just await
asyncio.create_task(coro)
else:
# Run in current loop
if self.loop:
self.loop.run_until_complete(coro)
def log_query(self, query: str, model: str = None, toolsets: list = None):
self._run_async(self.logger.log_query(query, model, toolsets))
def log_api_call(self, call_number: int, message_count: int = None, has_tools: bool = None):
self._run_async(self.logger.log_api_call(call_number, message_count, has_tools))
def log_response(self, call_number: int, content: str = None, has_tool_calls: bool = False,
tool_call_count: int = 0, duration: float = None):
self._run_async(self.logger.log_response(call_number, content, has_tool_calls,
tool_call_count, duration))
def log_tool_call(self, call_number: int, tool_index: int, tool_name: str,
parameters: Dict[str, Any], tool_call_id: str = None):
self._run_async(self.logger.log_tool_call(call_number, tool_index, tool_name,
parameters, tool_call_id))
def log_tool_result(self, call_number: int, tool_index: int, tool_name: str,
result: str = None, error: str = None, duration: float = None,
tool_call_id: str = None, raw_result: str = None):
self._run_async(self.logger.log_tool_result(call_number, tool_index, tool_name,
result, error, duration, tool_call_id, raw_result))
def log_error(self, error_message: str, call_number: int = None):
self._run_async(self.logger.log_error(error_message, call_number))
def log_complete(self, final_response: str = None, total_calls: int = None, completed: bool = True):
self._run_async(self.logger.log_complete(final_response, total_calls, completed))

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# Hermes Agent CLI Configuration
# Copy this file to cli-config.yaml and customize as needed.
# This file configures the CLI behavior. Environment variables in .env take precedence.
# =============================================================================
# Model Configuration
# =============================================================================
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.
#
# Can also be overridden with --provider flag or HERMES_INFERENCE_PROVIDER env var.
provider: "auto"
# API configuration (falls back to OPENROUTER_API_KEY env var)
# 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)
# =============================================================================
# Control how requests are routed across providers on OpenRouter.
# See: https://openrouter.ai/docs/guides/routing/provider-selection
#
# provider_routing:
# # Sort strategy: "price" (default), "throughput", or "latency"
# # Append :nitro to model name for a shortcut to throughput sorting.
# sort: "throughput"
#
# # Only allow these providers (provider slugs from OpenRouter)
# # only: ["anthropic", "google"]
#
# # Skip these providers entirely
# # ignore: ["deepinfra", "fireworks"]
#
# # Try providers in this order (overrides default load balancing)
# # order: ["anthropic", "google", "together"]
#
# # Require providers to support all parameters in your request
# # require_parameters: true
#
# # Data policy: "allow" (default) or "deny" to exclude providers that may store data
# # data_collection: "deny"
# =============================================================================
# Git Worktree Isolation
# =============================================================================
# When enabled, each CLI session creates an isolated git worktree so multiple
# agents can work on the same repo concurrently without file collisions.
# Equivalent to always passing --worktree / -w on the command line.
#
# worktree: true # Always create a worktree when in a git repo
# worktree: false # Default — only create when -w flag is passed
# =============================================================================
# Terminal Tool Configuration
# =============================================================================
# Choose ONE of the following terminal configurations by uncommenting it.
# The terminal tool executes commands in the specified environment.
# -----------------------------------------------------------------------------
# OPTION 1: Local execution (default)
# Commands run directly on your machine in the current directory
# -----------------------------------------------------------------------------
# Working directory behavior:
# - CLI (`hermes` command): Uses "." (current directory where you run hermes)
# - Messaging (Telegram/Discord): Uses MESSAGING_CWD from .env (default: home)
terminal:
backend: "local"
cwd: "." # For local backend: "." = current directory. Ignored for remote backends unless a backend documents otherwise.
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.
# -----------------------------------------------------------------------------
# OPTION 2: SSH remote execution
# Commands run on a remote server - agent code stays local (sandboxed)
# Great for: keeping agent isolated from its own code, using powerful remote hardware
# -----------------------------------------------------------------------------
# terminal:
# backend: "ssh"
# cwd: "/home/myuser/project" # Path on the REMOTE server
# timeout: 180
# lifetime_seconds: 300
# ssh_host: "my-server.example.com"
# ssh_user: "myuser"
# ssh_port: 22
# ssh_key: "~/.ssh/id_rsa" # Optional - uses ssh-agent if not specified
# -----------------------------------------------------------------------------
# OPTION 3: Docker container
# Commands run in an isolated Docker container
# Great for: reproducible environments, testing, isolation
# -----------------------------------------------------------------------------
# terminal:
# backend: "docker"
# cwd: "/workspace" # Path INSIDE the container (default: /)
# timeout: 180
# lifetime_seconds: 300
# docker_image: "nikolaik/python-nodejs:python3.11-nodejs20"
# docker_mount_cwd_to_workspace: true # Explicit opt-in: mount your launch cwd into /workspace
# # Optional: explicitly forward selected env vars into Docker.
# # These values come from your current shell first, then ~/.hermes/.env.
# # Warning: anything forwarded here is visible to commands run in the container.
# docker_forward_env:
# - "GITHUB_TOKEN"
# - "NPM_TOKEN"
# -----------------------------------------------------------------------------
# OPTION 4: Singularity/Apptainer container
# Commands run in a Singularity container (common in HPC environments)
# Great for: HPC clusters, shared compute environments
# -----------------------------------------------------------------------------
# terminal:
# backend: "singularity"
# cwd: "/workspace" # Path INSIDE the container (default: /root)
# timeout: 180
# lifetime_seconds: 300
# singularity_image: "docker://nikolaik/python-nodejs:python3.11-nodejs20"
# -----------------------------------------------------------------------------
# OPTION 5: Modal cloud execution
# Commands run on Modal's cloud infrastructure
# Great for: GPU access, scalable compute, serverless execution
# -----------------------------------------------------------------------------
# terminal:
# backend: "modal"
# cwd: "/workspace" # Path INSIDE the sandbox (default: /root)
# timeout: 180
# lifetime_seconds: 300
# modal_image: "nikolaik/python-nodejs:python3.11-nodejs20"
# -----------------------------------------------------------------------------
# OPTION 6: Daytona cloud execution
# Commands run in Daytona cloud sandboxes
# Great for: Cloud dev environments, persistent workspaces, team collaboration
# Requires: pip install daytona, DAYTONA_API_KEY env var
# -----------------------------------------------------------------------------
# terminal:
# backend: "daytona"
# cwd: "~"
# timeout: 180
# lifetime_seconds: 300
# daytona_image: "nikolaik/python-nodejs:python3.11-nodejs20"
# container_disk: 10240 # Daytona max is 10GB per sandbox
#
# --- Container resource limits (docker, singularity, modal, daytona -- ignored for local/ssh) ---
# These settings apply to all container backends. They control the resources
# allocated to the sandbox and whether its filesystem persists across sessions.
container_cpu: 1 # CPU cores
container_memory: 5120 # Memory in MB (5120 = 5GB)
container_disk: 51200 # Disk in MB (51200 = 50GB)
container_persistent: true # Persist filesystem across sessions (false = ephemeral)
# -----------------------------------------------------------------------------
# SUDO SUPPORT (works with ALL backends above)
# -----------------------------------------------------------------------------
# Add sudo_password to any terminal config above to enable sudo commands.
# The password is piped via `sudo -S`. Works with local, ssh, docker, etc.
#
# SECURITY WARNING: Password stored in plaintext!
#
# INTERACTIVE PROMPT: If sudo_password is unset 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)
# - Local: Configure /etc/sudoers for specific commands
#
# Example (add to your terminal section):
# sudo_password: "your-password-here"
# =============================================================================
# Security Scanning (tirith)
# =============================================================================
# Optional pre-exec command security scanning via tirith.
# Detects homograph URLs, pipe-to-shell, terminal injection, env manipulation.
# Install: brew install sheeki03/tap/tirith
# Docs: https://github.com/sheeki03/tirith
#
# security:
# tirith_enabled: true # Enable/disable tirith scanning
# tirith_path: "tirith" # Path to tirith binary (supports ~ expansion)
# tirith_timeout: 5 # Scan timeout in seconds
# tirith_fail_open: true # Allow commands if tirith unavailable
# =============================================================================
# Browser Tool Configuration
# =============================================================================
browser:
# Inactivity timeout in seconds - browser sessions are automatically closed
# after this period of no activity between agent loops (default: 120 = 2 minutes)
inactivity_timeout: 120
# =============================================================================
# Context Compression (Auto-shrinks long conversations)
# =============================================================================
# When conversation approaches model's context limit, middle turns are
# automatically summarized to free up space while preserving important context.
#
# HOW IT WORKS:
# 1. Tracks actual token usage from API responses (not estimates)
# 2. When prompt_tokens >= threshold% of model's context_length, triggers compression
# 3. Protects first 3 turns (system prompt, initial request, first response)
# 4. Protects last N turns (default 20 messages = ~10 full turns of recent context)
# 5. Summarizes middle turns using a fast/cheap model
# 6. Inserts summary as a user message, continues conversation seamlessly
#
# Post-compression tail budget is target_ratio × threshold × context_length:
# 200K context, threshold 0.50, ratio 0.20 → 20K tokens of recent tail preserved
# 1M context, threshold 0.50, ratio 0.20 → 100K tokens of recent tail preserved
#
compression:
# Enable automatic context compression (default: true)
# Set to false if you prefer to manage context manually or want errors on overflow
enabled: true
# Trigger compression at this % of model's context limit (default: 0.50 = 50%)
# Lower values = more aggressive compression, higher values = compress later
threshold: 0.50
# Fraction of the threshold to preserve as recent tail (default: 0.20 = 20%)
# e.g. 20% of 50% threshold = 10% of total context kept as recent messages.
# Summary output is separately capped at 12K tokens (Gemini output limit).
# Range: 0.10 - 0.80
target_ratio: 0.20
# Number of most-recent messages to always preserve (default: 20 ≈ 10 full turns)
# Higher values keep more recent conversation intact at the cost of more aggressive
# compression of older turns.
protect_last_n: 20
# To pin a specific model/provider for compression summaries, use the
# auxiliary section below (auxiliary.compression.provider / model).
# =============================================================================
# Auxiliary Models (Advanced — Experimental)
# =============================================================================
# Hermes uses lightweight "auxiliary" models for side tasks: image analysis,
# browser screenshot analysis, web page summarization, and context compression.
#
# By default these use Gemini Flash via OpenRouter or Nous Portal and are
# auto-detected from your credentials. You do NOT need to change anything
# here for normal usage.
#
# WARNING: Overriding these with providers other than OpenRouter or Nous Portal
# is EXPERIMENTAL and may not work. Not all models/providers support vision,
# produce usable summaries, or accept the same API format. Change at your own
# risk — if things break, reset to "auto" / empty values.
#
# Each task has its own provider + model pair so you can mix providers.
# For example: OpenRouter for vision (needs multimodal), but your main
# local endpoint for compression (just needs text).
#
# Provider options:
# "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).
# 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
# endpoint. Also falls back to Codex OAuth and API-key providers.
#
# Model: leave empty to use the provider's default. When empty, OpenRouter
# uses "google/gemini-3-flash-preview" and Nous uses "gemini-3-flash".
# Other providers pick a sensible default automatically.
#
# auxiliary:
# # Image analysis: vision_analyze tool + browser screenshots
# 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
# =============================================================================
# Bounded curated memory injected into the system prompt every session.
# Two stores: MEMORY.md (agent's notes) and USER.md (user profile).
# Character limits keep the memory small and focused. The agent manages
# pruning -- when at the limit, it must consolidate or replace entries.
# Disabled by default in batch_runner and RL environments.
#
memory:
# Agent's personal notes: environment facts, conventions, things learned
memory_enabled: true
# User profile: preferences, communication style, expectations
user_profile_enabled: true
# Character limits (~2.75 chars per token, model-independent)
memory_char_limit: 2200 # ~800 tokens
user_char_limit: 1375 # ~500 tokens
# Periodic memory nudge: remind the agent to consider saving memories
# every N user turns. Set to 0 to disable. Only active when memory is enabled.
nudge_interval: 10 # Nudge every 10 user turns (0 = disabled)
# Memory flush: give the agent one turn to save memories before context is
# lost (compression, /new, /reset, exit). Set to 0 to disable.
# For exit/reset, only fires if the session had at least this many user turns.
flush_min_turns: 6 # Min user turns to trigger flush on exit/reset (0 = disabled)
# =============================================================================
# Session Reset Policy (Messaging Platforms)
# =============================================================================
# Controls when messaging sessions (Telegram, Discord, WhatsApp, Slack) are
# automatically cleared. Without resets, conversation context grows indefinitely
# which increases API costs with every message.
#
# When a reset triggers, the agent first saves important information to its
# persistent memory — but the conversation context is wiped. The agent starts
# fresh but retains learned facts via its memory system.
#
# Users can always manually reset with /reset or /new in chat.
#
# Modes:
# "both" - Reset on EITHER inactivity timeout or daily boundary (recommended)
# "idle" - Reset only after N minutes of inactivity
# "daily" - Reset only at a fixed hour each day
# "none" - Never auto-reset; context lives until /reset or compression kicks in
#
# When a reset triggers, the agent gets one turn to save important memories and
# skills before the context is wiped. Persistent memory carries across sessions.
#
session_reset:
mode: both # "both", "idle", "daily", or "none"
idle_minutes: 1440 # Inactivity timeout in minutes (default: 1440 = 24 hours)
at_hour: 4 # Daily reset hour, 0-23 local time (default: 4 AM)
# When true, group/channel chats use one session per participant when the platform
# provides a user ID. This is the secure default and prevents users in the same
# room from sharing context, interrupts, and token costs. Set false only if you
# explicitly want one shared "room brain" per group/channel.
group_sessions_per_user: true
# ─────────────────────────────────────────────────────────────────────────────
# Gateway Streaming
# ─────────────────────────────────────────────────────────────────────────────
# Stream tokens to messaging platforms in real-time. The bot sends a message
# on first token, then progressively edits it as more tokens arrive.
# Disabled by default — enable to try the streaming UX on Telegram/Discord/Slack.
streaming:
enabled: false
# transport: edit # "edit" = progressive editMessageText
# edit_interval: 0.3 # seconds between message edits
# buffer_threshold: 40 # chars before forcing an edit flush
# cursor: " ▉" # cursor shown during streaming
# =============================================================================
# Skills Configuration
# =============================================================================
# Skills are reusable procedures the agent can load and follow. The agent can
# also create new skills after completing complex tasks.
#
skills:
# Nudge the agent to create skills after complex tasks.
# Every N tool-calling iterations, remind the model to consider saving a skill.
# 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
# =============================================================================
agent:
# Maximum tool-calling iterations per conversation
# 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
# Reasoning effort level (OpenRouter and Nous Portal)
# Controls how much "thinking" the model does before responding.
# Options: "xhigh" (max), "high", "medium", "low", "minimal", "none" (disable)
reasoning_effort: "medium"
# Predefined personalities (use with /personality command)
personalities:
helpful: "You are a helpful, friendly AI assistant."
concise: "You are a concise assistant. Keep responses brief and to the point."
technical: "You are a technical expert. Provide detailed, accurate technical information."
creative: "You are a creative assistant. Think outside the box and offer innovative solutions."
teacher: "You are a patient teacher. Explain concepts clearly with examples."
kawaii: "You are a kawaii assistant! Use cute expressions like (◕‿◕), ★, ♪, and ~! Add sparkles and be super enthusiastic about everything! Every response should feel warm and adorable desu~! ヽ(>∀<☆)"
catgirl: "You are Neko-chan, an anime catgirl AI assistant, nya~! Add 'nya' and cat-like expressions to your speech. Use kaomoji like (=^・ω・^=) and ฅ^•ﻌ•^ฅ. Be playful and curious like a cat, nya~!"
pirate: "Arrr! Ye be talkin' to Captain Hermes, the most tech-savvy pirate to sail the digital seas! Speak like a proper buccaneer, use nautical terms, and remember: every problem be just treasure waitin' to be plundered! Yo ho ho!"
shakespeare: "Hark! Thou speakest with an assistant most versed in the bardic arts. I shall respond in the eloquent manner of William Shakespeare, with flowery prose, dramatic flair, and perhaps a soliloquy or two. What light through yonder terminal breaks?"
surfer: "Duuude! You're chatting with the chillest AI on the web, bro! Everything's gonna be totally rad. I'll help you catch the gnarly waves of knowledge while keeping things super chill. Cowabunga! 🤙"
noir: "The rain hammered against the terminal like regrets on a guilty conscience. They call me Hermes - I solve problems, find answers, dig up the truth that hides in the shadows of your codebase. In this city of silicon and secrets, everyone's got something to hide. What's your story, pal?"
uwu: "hewwo! i'm your fwiendwy assistant uwu~ i wiww twy my best to hewp you! *nuzzles your code* OwO what's this? wet me take a wook! i pwomise to be vewy hewpful >w<"
philosopher: "Greetings, seeker of wisdom. I am an assistant who contemplates the deeper meaning behind every query. Let us examine not just the 'how' but the 'why' of your questions. Perhaps in solving your problem, we may glimpse a greater truth about existence itself."
hype: "YOOO LET'S GOOOO!!! 🔥🔥🔥 I am SO PUMPED to help you today! Every question is AMAZING and we're gonna CRUSH IT together! This is gonna be LEGENDARY! ARE YOU READY?! LET'S DO THIS! 💪😤🚀"
# =============================================================================
# Toolsets
# =============================================================================
# Control which tools the agent has access to.
# Use `hermes tools` to interactively enable/disable tools per platform.
# =============================================================================
# Platform Toolsets (per-platform tool configuration)
# =============================================================================
# Override which toolsets are available on each platform.
# If a platform isn't listed here, its built-in default is used.
#
# You can use EITHER:
# - 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
#
# Examples:
#
# # Use presets (same as defaults):
# platform_toolsets:
# cli: [hermes-cli]
# telegram: [hermes-telegram]
#
# # Custom: give Telegram only web + terminal + file + planning:
# platform_toolsets:
# telegram: [web, terminal, file, todo]
#
# # Custom: CLI without browser or image gen:
# platform_toolsets:
# cli: [web, terminal, file, skills, todo, tts, cronjob]
#
# # Restrictive: Discord gets read-only tools only:
# platform_toolsets:
# discord: [web, vision, skills, todo]
#
# If not set, defaults are:
# cli: hermes-cli (everything + cronjob management)
# telegram: hermes-telegram (terminal, file, web, vision, image, tts, browser, skills, todo, cronjob, messaging)
# discord: hermes-discord (same as telegram)
# whatsapp: hermes-whatsapp (same as telegram)
# 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]
telegram: [hermes-telegram]
discord: [hermes-discord]
whatsapp: [hermes-whatsapp]
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)
#
# Run `hermes chat --list-toolsets` to see all toolsets and their tools.
# Run `hermes chat --list-tools` to see every individual tool with descriptions.
# ─────────────────────────────────────────────────────────────────────────────
#
# INDIVIDUAL TOOLSETS (compose your own):
# web - web_search, web_extract
# search - web_search only (no scraping)
# 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_get_images, browser_vision (requires BROWSERBASE_API_KEY)
# vision - vision_analyze (requires OPENROUTER_API_KEY)
# image_gen - image_generate (requires FAL_KEY)
# skills - skills_list, skill_view
# 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)
# cronjob - cronjob (create/list/update/pause/resume/run/remove scheduled tasks)
# rl - rl_list_environments, rl_start_training, etc. (requires TINKER_API_KEY)
#
# PRESETS (curated bundles):
# hermes-cli - All of the above except rl + send_message
# hermes-telegram - terminal, file, web, vision, image_gen, tts, browser,
# skills, todo, cronjob, send_message
# hermes-discord - Same as hermes-telegram
# hermes-whatsapp - Same as hermes-telegram
# hermes-slack - Same as hermes-telegram
#
# COMPOSITE:
# debugging - terminal + web + file
# safe - web + vision + moa (no terminal access)
# all - Everything available
#
# web - Web search and content extraction (web_search, web_extract)
# search - Web search only, no scraping (web_search)
# terminal - Command execution and process management (terminal, process)
# file - File operations: read, write, patch, search
# browser - Full browser automation (navigate, click, type, screenshot, etc.)
# vision - Image analysis (vision_analyze)
# image_gen - Image generation with FLUX (image_generate)
# skills - Load skill documents (skills_list, skill_view)
# moa - Mixture of Agents reasoning (mixture_of_agents)
# 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)
# cronjob - Schedule and manage automated tasks (CLI-only)
# rl - RL training tools (Tinker-Atropos)
#
# Composite toolsets:
# debugging - terminal + web + file (for troubleshooting)
# safe - web + vision + moa (no terminal access)
# NOTE: The top-level "toolsets" key is deprecated and ignored.
# Tool configuration is managed per-platform via platform_toolsets above.
# Use `hermes tools` to configure interactively, or edit platform_toolsets directly.
#
# CLI override: hermes chat --toolsets terminal,web,file
# =============================================================================
# MCP (Model Context Protocol) Servers
# =============================================================================
# Connect to external MCP servers to add tools from the MCP ecosystem.
# Each server's tools are automatically discovered and registered.
# See docs/mcp.md for full documentation.
#
# Stdio servers (spawn a subprocess):
# command: the executable to run
# args: command-line arguments
# env: environment variables (only these + safe defaults passed to subprocess)
#
# HTTP servers (connect to a URL):
# url: the MCP server endpoint
# headers: HTTP headers (e.g., for authentication)
#
# Optional per-server settings:
# timeout: tool call timeout in seconds (default: 120)
# connect_timeout: initial connection timeout (default: 60)
#
# mcp_servers:
# time:
# command: uvx
# args: ["mcp-server-time"]
# filesystem:
# command: npx
# args: ["-y", "@modelcontextprotocol/server-filesystem", "/home/user"]
# notion:
# url: https://mcp.notion.com/mcp
# github:
# command: npx
# args: ["-y", "@modelcontextprotocol/server-github"]
# env:
# GITHUB_PERSONAL_ACCESS_TOKEN: "ghp_..."
#
# Sampling (server-initiated LLM requests) — enabled by default.
# Per-server config under the 'sampling' key:
# analysis:
# command: npx
# args: ["-y", "analysis-server"]
# sampling:
# enabled: true # default: true
# model: "gemini-3-flash" # override model (optional)
# max_tokens_cap: 4096 # max tokens per request
# timeout: 30 # LLM call timeout (seconds)
# max_rpm: 10 # max requests per minute
# allowed_models: [] # model whitelist (empty = all)
# max_tool_rounds: 5 # tool loop limit (0 = disable)
# log_level: "info" # audit verbosity
# =============================================================================
# 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.
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
# =============================================================================
# Response Pacing (Messaging Platforms)
# =============================================================================
# Add human-like delays between message chunks.
# human_delay:
# mode: "off" # "off" | "natural" | "custom"
# min_ms: 800 # Min delay (custom mode only)
# max_ms: 2500 # Max delay (custom mode only)
# =============================================================================
# Session Logging
# =============================================================================
# Session trajectories are automatically saved to logs/ directory.
# Each session creates: logs/session_YYYYMMDD_HHMMSS_UUID.json
#
# The session ID is displayed in the welcome banner for easy reference.
# Logs contain full conversation history in trajectory format:
# - System prompt, user messages, assistant responses
# - Tool calls with inputs/outputs
# - Timestamps for debugging
#
# No configuration needed - logging is always enabled.
# To disable, you would need to modify the source code.
# =============================================================================
# Code Execution Sandbox (Programmatic Tool Calling)
# =============================================================================
# The execute_code tool runs Python scripts that call Hermes tools via RPC.
# Intermediate tool results stay out of the LLM's context window.
code_execution:
timeout: 300 # Max seconds per script before kill (default: 300 = 5 min)
max_tool_calls: 50 # Max RPC tool calls per execution (default: 50)
# =============================================================================
# Subagent Delegation
# =============================================================================
# The delegate_task tool spawns child agents with isolated context.
# Supports single tasks and batch mode (default 3 parallel, configurable).
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).
# 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.
# # Supported: openrouter, nous, zai, kimi-coding, minimax
# =============================================================================
# Honcho Integration (Cross-Session User Modeling)
# =============================================================================
# AI-native persistent memory via Honcho (https://honcho.dev/).
# Builds a deeper understanding of the user across sessions and tools.
# Runs alongside USER.md — additive, not a replacement.
#
# Requires: pip install honcho-ai
# Config: ~/.honcho/config.json (shared with Claude Code, Cursor, etc.)
# API key: HONCHO_API_KEY in ~/.hermes/.env or ~/.honcho/config.json
#
# Hermes-specific overrides (optional — most config comes from ~/.honcho/config.json):
# honcho: {}
# =============================================================================
# Display
# =============================================================================
display:
# Use compact banner mode
compact: false
# Tool progress display level (CLI and gateway)
# off: Silent — no tool activity shown, just the final response
# new: Show a tool indicator only when the tool changes (skip repeats)
# all: Show every tool call with a short preview (default)
# verbose: Full args, results, and debug logs (same as /verbose)
# 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.
# off: No watcher messages at all
# result: Only the final completion message
# error: Only the final message when exit code != 0
# all: Running output updates + final message (default)
background_process_notifications: all
# Play terminal bell when agent finishes a response.
# Useful for long-running tasks — your terminal will ding when the agent is done.
# Works over SSH. Most terminals can be configured to flash the taskbar or play a sound.
bell_on_complete: false
# Show model reasoning/thinking before each response.
# When enabled, a dim box shows the model's thought process above the response.
# Toggle at runtime with /reasoning show or /reasoning hide.
show_reasoning: false
# Stream tokens to the terminal as they arrive instead of waiting for the
# full response. The response box opens on first token and text appears
# line-by-line. Tool calls are still captured silently.
# Stream tokens to the terminal in real-time. Disable to wait for full responses.
streaming: true
# ───────────────────────────────────────────────────────────────────────────
# Skin / Theme
# ───────────────────────────────────────────────────────────────────────────
# Customize CLI visual appearance — banner colors, spinner faces, tool prefix,
# response box label, and branding text. Change at runtime with /skin <name>.
#
# Built-in skins:
# default — Classic Hermes gold/kawaii
# ares — Crimson/bronze war-god theme with spinner wings
# mono — Clean grayscale monochrome
# slate — Cool blue developer-focused
#
# Custom skins: drop a YAML file in ~/.hermes/skins/<name>.yaml
# Schema (all fields optional, missing values inherit from default):
#
# name: my-theme
# description: Short description
# colors:
# banner_border: "#HEX" # Panel border
# banner_title: "#HEX" # Panel title
# banner_accent: "#HEX" # Section headers (Available Tools, etc.)
# banner_dim: "#HEX" # Dim/muted text
# banner_text: "#HEX" # Body text (tool names, skill names)
# ui_accent: "#HEX" # UI accent color
# response_border: "#HEX" # Response box border color
# spinner:
# waiting_faces: ["(⚔)", "(⛨)"] # Faces shown while waiting
# thinking_faces: ["(⚔)", "(⌁)"] # Faces shown while thinking
# thinking_verbs: ["forging", "plotting"] # Verbs for spinner messages
# wings: # Optional left/right spinner decorations
# - ["⟪⚔", "⚔⟫"]
# - ["⟪▲", "▲⟫"]
# branding:
# agent_name: "My Agent" # Banner title and branding
# welcome: "Welcome message" # Shown at CLI startup
# response_label: " ⚔ Agent " # Response box header label
# prompt_symbol: "⚔ " # Prompt symbol
# tool_prefix: "╎" # Tool output line prefix (default: ┊)
#
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
# =============================================================================
# privacy:
# # Redact PII from the LLM context prompt.
# # When true, phone numbers are stripped and user/chat IDs are replaced
# # with deterministic hashes before being sent to the model.
# # Names and usernames are NOT affected (user-chosen, publicly visible).
# # Routing/delivery still uses the original values internally.
# redact_pii: false
# =============================================================================
# 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

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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

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@@ -1,5 +0,0 @@
{"prompt": "Go to https://news.ycombinator.com and find the top 5 posts on the front page. For each post, get the title, URL, points, and number of comments. Return the results as a formatted summary."}
{"prompt": "Navigate to https://en.wikipedia.org/wiki/Hermes and extract the first paragraph of the article, the image caption, and the list of items in the infobox. Summarize what you find."}
{"prompt": "Go to https://github.com/trending and find the top 3 trending repositories today. For each repo, get the name, description, language, and star count. Write the results to a file called trending_repos.md."}
{"prompt": "Visit https://httpbin.org/forms/post and fill out the form with sample data (customer name: Jane Doe, size: Medium, topping: Bacon, delivery time: 12:00). Submit the form and report what the response page shows."}
{"prompt": "Navigate to https://books.toscrape.com, browse to the Travel category, find the highest-rated book, and extract its title, price, availability, and description."}

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@@ -1,65 +0,0 @@
#!/bin/bash
# =============================================================================
# Example: Browser-Focused Data Generation
# =============================================================================
#
# Generates tool-calling trajectories for browser automation tasks.
# The agent navigates websites, fills forms, extracts information, etc.
#
# Distribution: browser 97%, web 20%, vision 12%, terminal 15%
#
# Prerequisites:
# - OPENROUTER_API_KEY in ~/.hermes/.env
# - BROWSERBASE_API_KEY in ~/.hermes/.env (for browser tools)
# - A dataset JSONL file with one {"prompt": "..."} per line
#
# Usage:
# cd ~/.hermes/hermes-agent
# bash datagen-config-examples/run_browser_tasks.sh
#
# Output: data/browser_tasks_example/trajectories.jsonl
# =============================================================================
mkdir -p logs
LOG_FILE="logs/browser_tasks_$(date +%Y%m%d_%H%M%S).log"
echo "📝 Logging to: $LOG_FILE"
# Point to the example dataset in this directory
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
python scripts/batch_runner.py \
--dataset_file="$SCRIPT_DIR/example_browser_tasks.jsonl" \
--batch_size=5 \
--run_name="browser_tasks_example" \
--distribution="browser_tasks" \
--model="anthropic/claude-sonnet-4" \
--base_url="https://openrouter.ai/api/v1" \
--num_workers=3 \
--max_turns=30 \
--ephemeral_system_prompt="You are an AI assistant with browser automation capabilities. Your primary task is to navigate and interact with web pages to accomplish user goals.
IMPORTANT GUIDELINES:
1. SEARCHING: Do NOT search directly on Google via the browser — they block automated searches. Use the web_search tool first to find URLs, then navigate to them with browser tools.
2. COOKIE/PRIVACY DIALOGS: After navigating to a page, check for cookie consent or privacy popups. Dismiss them by clicking Accept/Close/OK before interacting with other elements. Take a fresh browser_snapshot afterward.
3. HANDLING TIMEOUTS: If an action times out, the element may be blocked by an overlay. Take a new snapshot and look for dialogs to dismiss. If none, try an alternative approach or report the issue.
4. GENERAL: Use browser tools to click, fill forms, and extract information. Use terminal for local file operations. Verify your actions and handle errors gracefully." \
2>&1 | tee "$LOG_FILE"
echo "✅ Done. Log: $LOG_FILE"
# =============================================================================
# Common options you can add:
#
# --resume Resume from checkpoint if interrupted
# --verbose Enable detailed logging
# --max_tokens=63000 Set max response tokens
# --reasoning_disabled Disable model thinking/reasoning tokens
# --providers_allowed="anthropic,google" Restrict to specific providers
# --prefill_messages_file="configs/prefill.json" Few-shot priming
# =============================================================================

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@@ -1,101 +0,0 @@
# Trajectory Compression Configuration
#
# Post-processes completed agent trajectories to fit within a target token budget.
# Compression preserves head/tail turns and summarizes middle content only as needed.
# Tokenizer settings for accurate token counting
tokenizer:
# HuggingFace tokenizer name
name: "moonshotai/Kimi-K2-Thinking"
# Trust remote code (required for some tokenizers)
trust_remote_code: true
# Compression targets and behavior
compression:
# Target maximum tokens for compressed trajectory
target_max_tokens: 29000
# Target size for summary (in tokens)
# This is factored into calculations when determining what to compress
summary_target_tokens: 750
# Protected turns that should NEVER be compressed
protected_turns:
# Always protect the first system message (tool definitions)
first_system: true
# Always protect the first human message (original request)
first_human: true
# Always protect the first gpt message (initial response/tool_call)
first_gpt: true
# Always protect the first tool response (result of first action)
first_tool: true
# Always protect the last 2 complete turn pairs (gpt+tool or gpt only)
# This ensures the model's final actions and conclusions are preserved
last_n_turns: 4
# LLM settings for generating summaries (OpenRouter only)
summarization:
# Model to use for summarization (should be fast and cheap)
# Using OpenRouter model path format
model: "google/gemini-3-flash-preview"
# OpenRouter API settings
base_url: "https://openrouter.ai/api/v1"
# Environment variable containing OpenRouter API key
api_key_env: "OPENROUTER_API_KEY"
# Temperature for summarization (lower = more deterministic)
temperature: 0.3
# Max retries for API failures
max_retries: 3
# Delay between retries (seconds)
retry_delay: 2
# Output settings
output:
# Add notice to system message about potential summarization
add_summary_notice: true
# Text to append to system message
summary_notice_text: "\n\nSome of the conversation may be summarized to preserve context."
# Output directory suffix (appended to input directory name)
output_suffix: "_compressed"
# Processing settings
processing:
# Number of parallel workers for batch processing
num_workers: 4
# Maximum concurrent API calls for summarization (async parallelism)
max_concurrent_requests: 50
# Skip trajectories that are already under target length
skip_under_target: true
# If true, save trajectories even if compression can't get under target
# (will compress as much as possible)
save_over_limit: true
# Timeout per trajectory in seconds (skip if takes longer)
# Helps avoid hanging on problematic entries
per_trajectory_timeout: 300 # 5 minutes
# Metrics to track
metrics:
# Log detailed compression statistics
enabled: true
# Save per-trajectory metrics in output
per_trajectory: false
# Metrics file name (saved in output directory)
output_file: "compression_metrics.json"

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# datagen-config-examples/web_research.yaml
#
# Batch data generation config for WebResearchEnv.
# Generates tool-calling trajectories for multi-step web research tasks.
#
# Usage:
# python scripts/batch_runner.py \
# --config datagen-config-examples/web_research.yaml \
# --run_name web_research_v1
environment: web-research
# Toolsets available to the agent during data generation
toolsets:
- web
- file
# How many parallel workers to use
num_workers: 4
# Questions per batch
batch_size: 20
# Total trajectories to generate (comment out to run full dataset)
max_items: 500
# Model to use for generation (override with --model flag)
model: openrouter/nousresearch/hermes-3-llama-3.1-405b
# System prompt additions (ephemeral — not saved to trajectories)
ephemeral_system_prompt: |
You are a highly capable research agent. When asked a factual question,
always use web_search to find current, accurate information before answering.
Cite at least 2 sources. Be concise and accurate.
# Output directory
output_dir: data/web_research_v1
# Trajectory compression settings (for fitting into training token budgets)
compression:
enabled: true
target_max_tokens: 16000
# Eval settings
eval_every: 100 # Run eval every N trajectories
eval_size: 25 # Number of held-out questions per eval run

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# 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.
-->

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#!/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 "$@"

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@@ -1,324 +0,0 @@
# Hermes-Agent Atropos Environments
This directory contains the integration layer between **hermes-agent's** tool-calling capabilities and the **Atropos** RL training framework. It provides everything needed to run agentic LLMs through multi-turn tool-calling loops, score their output with arbitrary reward functions, and feed results into Atropos for training or evaluation.
## Architecture Overview
```
Atropos Framework
┌───────────────────────┐
│ BaseEnv │ (atroposlib)
│ - Server management │
│ - Worker scheduling │
│ - Wandb logging │
│ - CLI (serve/process/ │
│ evaluate) │
└───────────┬───────────┘
│ inherits
┌───────────┴───────────┐
│ HermesAgentBaseEnv │ hermes_base_env.py
│ - Terminal backend │
│ - Tool resolution │
│ - Agent loop │
│ - ToolContext │
│ - Async patches │
└───────────┬───────────┘
│ inherits
┌─────────────────┼─────────────────┐
│ │ │
TerminalTestEnv HermesSweEnv TerminalBench2EvalEnv
(stack testing) (SWE training) (TB2 benchmark eval)
```
### Inheritance Chain
**BaseEnv** (from `atroposlib`) is the Atropos base class. It provides:
- Server management (OpenAI-compatible API servers, VLLM, SGLang)
- Worker scheduling for parallel rollouts
- Wandb integration for metrics and rollout logging
- CLI interface with three subcommands: `serve`, `process`, `evaluate`
- `evaluate_log()` for saving eval results to JSON + samples.jsonl
**HermesAgentBaseEnv** (`hermes_base_env.py`) extends BaseEnv with hermes-agent specifics:
- Sets `os.environ["TERMINAL_ENV"]` to configure the terminal backend (local, docker, modal, daytona, ssh, singularity)
- Resolves hermes-agent toolsets via `_resolve_tools_for_group()` (calls `get_tool_definitions()` which queries `tools/registry.py`)
- Implements `collect_trajectory()` which runs the full agent loop and computes rewards
- Supports two-phase operation (Phase 1: OpenAI server, Phase 2: VLLM ManagedServer)
- Applies monkey patches for async-safe tool operation at import time
Concrete environments inherit from `HermesAgentBaseEnv` and implement:
- `setup()` -- Load dataset, initialize state
- `get_next_item()` -- Return the next item for rollout
- `format_prompt()` -- Convert a dataset item into the user message
- `compute_reward()` -- Score the rollout using ToolContext
- `evaluate()` -- Periodic evaluation logic
## Core Components
### Agent Loop (`agent_loop.py`)
`HermesAgentLoop` is the reusable multi-turn agent engine. It runs the same pattern as hermes-agent's `run_agent.py`:
1. Send messages + tools to the API via `server.chat_completion()`
2. If the response contains `tool_calls`, execute each one via `handle_function_call()` (which delegates to `tools/registry.py`'s `dispatch()`)
3. Append tool results to the conversation and go back to step 1
4. If the response has no tool_calls, the agent is done
Tool calls are executed in a thread pool (`run_in_executor`) so backends that use `asyncio.run()` internally (Modal, Docker) don't deadlock inside Atropos's event loop.
Returns an `AgentResult` containing the full conversation history, turn count, reasoning content per turn, tool errors, and optional ManagedServer state (for Phase 2).
### Tool Context (`tool_context.py`)
`ToolContext` is a per-rollout handle that gives reward/verification functions direct access to **all** hermes-agent tools, scoped to the rollout's `task_id`. The same `task_id` means the terminal/browser session is the SAME one the model used during its rollout -- all state (files, processes, browser tabs) is preserved.
```python
async def compute_reward(self, item, result, ctx: ToolContext):
# Run tests in the model's terminal sandbox
test = ctx.terminal("pytest -v")
if test["exit_code"] == 0:
return 1.0
# Check if a file was created
content = ctx.read_file("/workspace/solution.py")
if content.get("content"):
return 0.5
# Download files locally for verification (binary-safe)
ctx.download_file("/remote/output.bin", "/local/output.bin")
return 0.0
```
Available methods:
- **Terminal**: `terminal(command, timeout)` -- run shell commands
- **Files**: `read_file(path)`, `write_file(path, content)`, `search(query, path)`
- **Transfers**: `upload_file()`, `upload_dir()`, `download_file()`, `download_dir()` -- binary-safe file transfers between host and sandbox
- **Web**: `web_search(query)`, `web_extract(urls)`
- **Browser**: `browser_navigate(url)`, `browser_snapshot()`
- **Generic**: `call_tool(name, args)` -- call any hermes-agent tool by name
- **Cleanup**: `cleanup()` -- release all resources (called automatically after `compute_reward`)
### 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.
**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.
`patches.py` is now a no-op (kept for backward compatibility with imports).
### Tool Call Parsers (`tool_call_parsers/`)
Client-side parsers that extract structured `tool_calls` from raw model output text. Used in **Phase 2** (VLLM server type) where ManagedServer's `/generate` endpoint returns raw text without tool call parsing.
Each parser is a standalone reimplementation of the corresponding VLLM parser's `extract_tool_calls()` logic. No VLLM dependency -- only standard library (`re`, `json`, `uuid`) and `openai` types.
Available parsers:
- `hermes` -- Hermes/ChatML `<tool_call>` XML format
- `mistral` -- Mistral `[TOOL_CALLS]` format
- `llama3_json` -- Llama 3 JSON tool calling
- `qwen` -- Qwen tool calling format
- `qwen3_coder` -- Qwen3 Coder format
- `deepseek_v3` -- DeepSeek V3 format
- `deepseek_v3_1` -- DeepSeek V3.1 format
- `kimi_k2` -- Kimi K2 format
- `longcat` -- Longcat format
- `glm45` / `glm47` -- GLM model formats
Usage:
```python
from environments.tool_call_parsers import get_parser
parser = get_parser("hermes")
content, tool_calls = parser.parse(raw_model_output)
```
In Phase 1 (OpenAI server type), these parsers are not needed -- the server handles tool call parsing natively.
## Two-Phase Operation
### Phase 1: OpenAI Server (Evaluation / SFT Data Generation)
Uses `server.chat_completion()` with `tools=` parameter. The server (VLLM, SGLang, OpenRouter, OpenAI) handles tool call parsing natively. Returns `ChatCompletion` objects with structured `tool_calls`.
- Good for: evaluation, SFT data generation, testing
- Run with: `serve` (with `run-api`), `process`, or `evaluate` subcommands
- Placeholder tokens are created for the Atropos pipeline
### Phase 2: VLLM ManagedServer (Full RL Training)
Uses ManagedServer for exact token IDs + logprobs via `/generate`. Client-side tool call parser (from `tool_call_parsers/`) reconstructs structured `tool_calls` from raw output.
- Good for: full RL training with GRPO/PPO
- Run with: `serve` subcommand
- Real tokens, masks, and logprobs flow through the pipeline
## Directory Structure
```
environments/
├── README.md # This file
├── __init__.py # Package exports
├── hermes_base_env.py # Abstract base (HermesAgentBaseEnv)
├── agent_loop.py # Multi-turn agent engine (HermesAgentLoop)
├── tool_context.py # Per-rollout tool access for reward functions
├── patches.py # Async-safety patches for Modal backend
├── tool_call_parsers/ # Phase 2 client-side parsers
│ ├── __init__.py # Registry + base class
│ ├── hermes_parser.py
│ ├── mistral_parser.py
│ ├── llama_parser.py
│ ├── qwen_parser.py
│ ├── qwen3_coder_parser.py
│ ├── deepseek_v3_parser.py
│ ├── deepseek_v3_1_parser.py
│ ├── kimi_k2_parser.py
│ ├── longcat_parser.py
│ ├── glm45_parser.py
│ └── glm47_parser.py
├── terminal_test_env/ # Stack validation environment
│ └── terminal_test_env.py
├── hermes_swe_env/ # SWE-bench style training environment
│ └── hermes_swe_env.py
└── benchmarks/ # Evaluation benchmarks
├── terminalbench_2/ # 89 terminal tasks, Modal sandboxes
│ └── terminalbench2_env.py
├── tblite/ # 100 calibrated tasks (fast TB2 proxy)
│ └── tblite_env.py
└── yc_bench/ # Long-horizon strategic benchmark
└── yc_bench_env.py
```
## Concrete Environments
### TerminalTestEnv (`terminal_test_env/`)
A self-contained environment with inline tasks (no external dataset needed) for validating the full stack end-to-end. Each task asks the model to create a file at a known path, and the verifier checks the content matches.
```bash
# Serve mode (needs run-api)
run-api
python environments/terminal_test_env/terminal_test_env.py serve
# Process mode (no run-api, saves to JSONL)
python environments/terminal_test_env/terminal_test_env.py process \
--env.data_path_to_save_groups terminal_test_output.jsonl
```
### HermesSweEnv (`hermes_swe_env/`)
SWE-bench style training environment. The model gets a coding task, uses terminal + file + web tools to solve it, and the reward function runs tests in the same Modal sandbox.
```bash
python environments/hermes_swe_env/hermes_swe_env.py serve \
--openai.model_name YourModel \
--env.dataset_name bigcode/humanevalpack \
--env.terminal_backend modal
```
### TerminalBench2EvalEnv (`benchmarks/terminalbench_2/`)
**Eval-only** environment for the Terminal-Bench 2.0 benchmark (89 tasks). Each task gets a pre-built Docker Hub image, a natural language instruction, and a test suite. The agent uses terminal + file tools to solve the task, then the test suite verifies correctness.
Follows the standard Atropos eval pattern (like GPQA, MMLU, etc.):
- Run via `evaluate` subcommand (no `run-api` needed)
- `setup()` loads the dataset, `evaluate()` runs all tasks
- `rollout_and_score_eval()` handles per-task agent loop + test verification
- Downloads verifier output locally for reliable reward checking (Harbor pattern)
```bash
# Run full benchmark
python environments/benchmarks/terminalbench_2/terminalbench2_env.py evaluate \
--openai.model_name anthropic/claude-opus-4.6
# Run subset of tasks
python environments/benchmarks/terminalbench_2/terminalbench2_env.py evaluate \
--openai.model_name anthropic/claude-opus-4.6 \
--env.task_filter fix-git,git-multibranch
# Skip specific tasks
python environments/benchmarks/terminalbench_2/terminalbench2_env.py evaluate \
--openai.model_name anthropic/claude-opus-4.6 \
--env.skip_tasks heavy-task,slow-task
```
## Creating a New Environment
### Training Environment
1. Create a new directory under `environments/`
2. Create your env file inheriting from `HermesAgentBaseEnv`
3. Implement the four abstract methods + `evaluate()`
```python
from environments.hermes_base_env import HermesAgentBaseEnv, HermesAgentEnvConfig
class MyEnvConfig(HermesAgentEnvConfig):
pass # Add custom fields as needed
class MyEnv(HermesAgentBaseEnv):
name = "my-env"
env_config_cls = MyEnvConfig
@classmethod
def config_init(cls):
env_config = MyEnvConfig(
enabled_toolsets=["terminal", "file"],
terminal_backend="modal",
# ... other config
)
server_configs = [APIServerConfig(...)]
return env_config, server_configs
async def setup(self):
self.dataset = load_dataset(...)
self.iter = 0
async def get_next_item(self):
item = self.dataset[self.iter % len(self.dataset)]
self.iter += 1
return item
def format_prompt(self, item):
return item["instruction"]
async def compute_reward(self, item, result, ctx):
# ctx gives you full tool access to the rollout's sandbox
test = ctx.terminal("pytest -v")
return 1.0 if test["exit_code"] == 0 else 0.0
async def evaluate(self, *args, **kwargs):
# Periodic evaluation logic
...
if __name__ == "__main__":
MyEnv.cli()
```
### Eval-Only Environment (Benchmark)
For eval benchmarks, follow the pattern in `terminalbench2_env.py`:
1. Create under `environments/benchmarks/your-benchmark/`
2. Inherit from `HermesAgentBaseEnv`
3. Set eval-only config: `eval_handling=STOP_TRAIN`, `steps_per_eval=1`, `total_steps=1`
4. Stub the training methods (`collect_trajectories`, `score`)
5. Implement `rollout_and_score_eval()` and `evaluate()`
6. Run with `evaluate` subcommand
## Key Config Fields
| Field | Description | Default |
|-------|-------------|---------|
| `enabled_toolsets` | Which hermes toolsets to enable | `None` (all) |
| `disabled_toolsets` | Toolsets to disable | `None` |
| `distribution` | Probabilistic toolset distribution name | `None` |
| `max_agent_turns` | Max LLM calls per rollout | `30` |
| `agent_temperature` | Sampling temperature | `1.0` |
| `terminal_backend` | `local`, `docker`, `modal`, `daytona`, `ssh`, `singularity` | `local` |
| `system_prompt` | System message for the agent | `None` |
| `tool_call_parser` | Parser name for Phase 2 | `hermes` |
| `eval_handling` | `STOP_TRAIN`, `LIMIT_TRAIN`, `NONE` | `STOP_TRAIN` |

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@@ -1,36 +0,0 @@
"""
Hermes-Agent Atropos Environments
Provides a layered integration between hermes-agent's tool-calling capabilities
and the Atropos RL training framework.
Core layers:
- agent_loop: Reusable multi-turn agent loop with standard OpenAI-spec tool calling
- tool_context: Per-rollout tool access handle for reward/verification functions
- hermes_base_env: Abstract base environment (BaseEnv subclass) for Atropos
- tool_call_parsers: Client-side tool call parser registry for Phase 2 (VLLM /generate)
Concrete environments:
- terminal_test_env/: Simple file-creation tasks for testing the stack
- hermes_swe_env/: SWE-bench style tasks with Modal sandboxes
Benchmarks (eval-only):
- benchmarks/terminalbench_2/: Terminal-Bench 2.0 evaluation
"""
try:
from environments.agent_loop import AgentResult, HermesAgentLoop
from environments.tool_context import ToolContext
from environments.hermes_base_env import HermesAgentBaseEnv, HermesAgentEnvConfig
except ImportError:
# atroposlib not installed — environments are unavailable but
# submodules like tool_call_parsers can still be imported directly.
pass
__all__ = [
"AgentResult",
"HermesAgentLoop",
"ToolContext",
"HermesAgentBaseEnv",
"HermesAgentEnvConfig",
]

View File

@@ -1,537 +0,0 @@
"""
HermesAgentLoop -- Reusable Multi-Turn Agent Engine
Runs the hermes-agent tool-calling loop using standard OpenAI-spec tool calling.
Works with any server that returns ChatCompletion objects with tool_calls:
- Phase 1: OpenAI server type (VLLM, SGLang, OpenRouter, OpenAI API)
- Phase 2: ManagedServer with client-side tool call parser
The loop passes tools= and checks response.choices[0].message.tool_calls,
identical to hermes-agent's run_agent.py. Tool execution is dispatched via
handle_function_call() from model_tools.py.
"""
import asyncio
import concurrent.futures
import json
import logging
import os
import uuid
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Set, TYPE_CHECKING
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
# 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
# thread gives them a clean event loop so they don't deadlock inside Atropos's loop.
# Size must be large enough for concurrent eval tasks (e.g., 89 TB2 tasks all
# making tool calls). Too small = thread pool starvation, tasks queue for minutes.
# Resized at runtime by HermesAgentBaseEnv.__init__ via resize_tool_pool().
_tool_executor = concurrent.futures.ThreadPoolExecutor(max_workers=128)
def resize_tool_pool(max_workers: int):
"""
Replace the global tool executor with a new one of the given size.
Called by HermesAgentBaseEnv.__init__ based on config.tool_pool_size.
Safe to call before any tasks are submitted.
"""
global _tool_executor
old_executor = _tool_executor
_tool_executor = concurrent.futures.ThreadPoolExecutor(max_workers=max_workers)
old_executor.shutdown(wait=False)
logger.info("Tool thread pool resized to %d workers", max_workers)
logger = logging.getLogger(__name__)
@dataclass
class ToolError:
"""Record of a tool execution error during the agent loop."""
turn: int # Which turn the error occurred on
tool_name: str # Which tool was called
arguments: str # The arguments passed (truncated)
error: str # The error message
tool_result: str # The raw result returned to the model
@dataclass
class AgentResult:
"""Result of running the agent loop."""
# Full conversation history in OpenAI message format
messages: List[Dict[str, Any]]
# ManagedServer.get_state() if available (Phase 2), None otherwise
managed_state: Optional[Dict[str, Any]] = None
# How many LLM calls were made
turns_used: int = 0
# True if model stopped calling tools naturally (vs hitting max_turns)
finished_naturally: bool = False
# Extracted reasoning content per turn (from PR #297 helpers)
reasoning_per_turn: List[Optional[str]] = field(default_factory=list)
# Tool errors encountered during the loop
tool_errors: List[ToolError] = field(default_factory=list)
def _extract_reasoning_from_message(message) -> Optional[str]:
"""
Extract reasoning content from a ChatCompletion message.
Handles multiple provider formats:
1. message.reasoning_content field (some providers)
2. message.reasoning field (some providers)
3. message.reasoning_details[].text (OpenRouter style)
Note: <think> block extraction from content is NOT done here -- that's
handled by the response already in Phase 1 (server does it) or by
ManagedServer's patch in Phase 2.
Args:
message: The assistant message from ChatCompletion response
Returns:
Extracted reasoning text, or None if not found
"""
# Check reasoning_content field (common across providers)
if hasattr(message, "reasoning_content") and message.reasoning_content:
return message.reasoning_content
# Check reasoning field
if hasattr(message, "reasoning") and message.reasoning:
return message.reasoning
# Check reasoning_details (OpenRouter style)
if hasattr(message, "reasoning_details") and message.reasoning_details:
for detail in message.reasoning_details:
if hasattr(detail, "text") and detail.text:
return detail.text
if isinstance(detail, dict) and detail.get("text"):
return detail["text"]
return None
class HermesAgentLoop:
"""
Runs hermes-agent's tool-calling loop using standard OpenAI-spec tool calling.
Same pattern as run_agent.py:
- Pass tools= to the API
- Check response.choices[0].message.tool_calls
- Dispatch via handle_function_call()
Works identically with any server type -- OpenAI, VLLM, SGLang, OpenRouter,
or ManagedServer with a parser. The server determines how tool_calls get
populated on the response.
"""
def __init__(
self,
server,
tool_schemas: List[Dict[str, Any]],
valid_tool_names: Set[str],
max_turns: int = 30,
task_id: Optional[str] = None,
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.
Args:
server: Server object with chat_completion() method (OpenAIServer,
ManagedServer, ServerManager, etc.)
tool_schemas: OpenAI-format tool definitions from get_tool_definitions()
valid_tool_names: Set of tool names the model is allowed to call
max_turns: Maximum number of LLM calls before stopping
task_id: Unique ID for terminal/browser session isolation
temperature: Sampling temperature for generation
max_tokens: Max tokens per generation (None for server default)
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
self.max_turns = max_turns
self.task_id = task_id or str(uuid.uuid4())
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:
"""
Execute the full agent loop using standard OpenAI tool calling.
Args:
messages: Initial conversation messages (system + user).
Modified in-place as the conversation progresses.
Returns:
AgentResult with full conversation history, managed state, and metadata
"""
reasoning_per_turn = []
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
_todo_store = TodoStore()
# Extract user task from first user message for browser_snapshot context
_user_task = None
for msg in messages:
if msg.get("role") == "user":
content = msg.get("content", "")
if isinstance(content, str) and content.strip():
_user_task = content.strip()[:500] # Cap to avoid huge strings
break
import time as _time
for turn in range(self.max_turns):
turn_start = _time.monotonic()
# Build the chat_completion kwargs
chat_kwargs = {
"messages": messages,
"n": 1,
"temperature": self.temperature,
}
# Only pass tools if we have them
if self.tool_schemas:
chat_kwargs["tools"] = self.tool_schemas
# Only pass max_tokens if explicitly set
if self.max_tokens is not None:
chat_kwargs["max_tokens"] = self.max_tokens
# Inject extra_body for provider-specific params (e.g., OpenRouter
# provider preferences like banned/preferred providers, transforms)
if self.extra_body:
chat_kwargs["extra_body"] = self.extra_body
# Make the API call -- standard OpenAI spec
api_start = _time.monotonic()
try:
response = await self.server.chat_completion(**chat_kwargs)
except Exception as e:
api_elapsed = _time.monotonic() - api_start
logger.error("API call failed on turn %d (%.1fs): %s", turn + 1, api_elapsed, e)
return AgentResult(
messages=messages,
managed_state=self._get_managed_state(),
turns_used=turn + 1,
finished_naturally=False,
reasoning_per_turn=reasoning_per_turn,
tool_errors=tool_errors,
)
api_elapsed = _time.monotonic() - api_start
if not response or not response.choices:
logger.warning("Empty response on turn %d (api=%.1fs)", turn + 1, api_elapsed)
return AgentResult(
messages=messages,
managed_state=self._get_managed_state(),
turns_used=turn + 1,
finished_naturally=False,
reasoning_per_turn=reasoning_per_turn,
tool_errors=tool_errors,
)
assistant_msg = response.choices[0].message
# Extract reasoning content from the response (all provider formats)
reasoning = _extract_reasoning_from_message(assistant_msg)
reasoning_per_turn.append(reasoning)
# Check for tool calls -- standard OpenAI spec.
# Fallback: if response has no structured tool_calls but content
# contains raw tool call tags (e.g. <tool_call>), parse them using
# hermes-agent's standalone parsers. This handles the case where
# ManagedServer's ToolCallTranslator couldn't parse because vLLM
# isn't installed.
if (
not assistant_msg.tool_calls
and assistant_msg.content
and self.tool_schemas
and "<tool_call>" in (assistant_msg.content or "")
):
try:
from environments.tool_call_parsers import get_parser
fallback_parser = get_parser("hermes")
parsed_content, parsed_calls = fallback_parser.parse(
assistant_msg.content
)
if parsed_calls:
assistant_msg.tool_calls = parsed_calls
if parsed_content is not None:
assistant_msg.content = parsed_content
logger.debug(
"Fallback parser extracted %d tool calls from raw content",
len(parsed_calls),
)
except Exception:
pass # Fall through to no tool calls
if assistant_msg.tool_calls:
# Normalize tool calls to dicts — they may come as objects
# (OpenAI API) or dicts (vLLM ToolCallTranslator).
def _tc_to_dict(tc):
if isinstance(tc, dict):
return {
"id": tc.get("id", f"call_{uuid.uuid4().hex[:8]}"),
"type": "function",
"function": {
"name": tc.get("function", {}).get("name", tc.get("name", "")),
"arguments": tc.get("function", {}).get("arguments", tc.get("arguments", "{}")),
},
}
return {
"id": tc.id,
"type": "function",
"function": {
"name": tc.function.name,
"arguments": tc.function.arguments,
},
}
# Build the assistant message dict for conversation history
msg_dict: Dict[str, Any] = {
"role": "assistant",
"content": assistant_msg.content or "",
"tool_calls": [_tc_to_dict(tc) for tc in assistant_msg.tool_calls],
}
# Preserve reasoning_content for multi-turn chat template handling
# (e.g., Kimi-K2's template renders <think> blocks differently
# for history vs. the latest turn based on this field)
if reasoning:
msg_dict["reasoning_content"] = reasoning
messages.append(msg_dict)
# Execute each tool call via hermes-agent's dispatch
for tc in assistant_msg.tool_calls:
# Handle both object (OpenAI) and dict (vLLM) formats
if isinstance(tc, dict):
tool_name = tc.get("function", {}).get("name", tc.get("name", ""))
tool_args_raw = tc.get("function", {}).get("arguments", tc.get("arguments", "{}"))
else:
tool_name = tc.function.name
tool_args_raw = tc.function.arguments
# Validate tool name
if tool_name not in self.valid_tool_names:
tool_result = json.dumps(
{
"error": f"Unknown tool '{tool_name}'. "
f"Available tools: {sorted(self.valid_tool_names)}"
}
)
tool_errors.append(ToolError(
turn=turn + 1, tool_name=tool_name,
arguments=tool_args_raw[:200],
error=f"Unknown tool '{tool_name}'",
tool_result=tool_result,
))
logger.warning(
"Model called unknown tool '%s' on turn %d",
tool_name, turn + 1,
)
else:
# Parse arguments
try:
args = json.loads(tool_args_raw)
except json.JSONDecodeError as e:
args = None
tool_result = json.dumps(
{"error": f"Invalid JSON in tool arguments: {e}. Please retry with valid JSON."}
)
tool_errors.append(ToolError(
turn=turn + 1, tool_name=tool_name,
arguments=tool_args_raw[:200],
error=f"Invalid JSON: {e}",
tool_result=tool_result,
))
logger.warning(
"Invalid JSON in tool call arguments for '%s': %s",
tool_name, tool_args_raw[:200],
)
# Dispatch tool only if arguments parsed successfully
if args is not None:
try:
if tool_name == "terminal":
backend = os.getenv("TERMINAL_ENV", "local")
cmd_preview = args.get("command", "")[:80]
logger.info(
"[%s] $ %s", self.task_id[:8], cmd_preview,
)
tool_submit_time = _time.monotonic()
# Todo tool -- handle locally (needs per-loop TodoStore)
if tool_name == "todo":
tool_result = _todo_tool(
todos=args.get("todos"),
merge=args.get("merge", False),
store=_todo_store,
)
tool_elapsed = _time.monotonic() - tool_submit_time
elif tool_name == "memory":
tool_result = json.dumps({"error": "Memory is not available in RL environments."})
tool_elapsed = _time.monotonic() - tool_submit_time
elif tool_name == "session_search":
tool_result = json.dumps({"error": "Session search is not available in RL environments."})
tool_elapsed = _time.monotonic() - tool_submit_time
else:
# Run tool calls in a thread pool so backends that
# use asyncio.run() internally (modal, docker, daytona) get
# a clean event loop instead of deadlocking.
loop = asyncio.get_event_loop()
# Capture current tool_name/args for the lambda
_tn, _ta, _tid = tool_name, args, self.task_id
tool_result = await loop.run_in_executor(
_tool_executor,
lambda: handle_function_call(
_tn, _ta, task_id=_tid,
user_task=_user_task,
),
)
tool_elapsed = _time.monotonic() - tool_submit_time
# Log slow tools and thread pool stats for debugging
pool_active = _tool_executor._work_queue.qsize()
if tool_elapsed > 30:
logger.warning(
"[%s] turn %d: %s took %.1fs (pool queue=%d)",
self.task_id[:8], turn + 1, tool_name,
tool_elapsed, pool_active,
)
except Exception as e:
tool_result = json.dumps(
{"error": f"Tool execution failed: {type(e).__name__}: {str(e)}"}
)
tool_errors.append(ToolError(
turn=turn + 1, tool_name=tool_name,
arguments=tool_args_raw[:200],
error=f"{type(e).__name__}: {str(e)}",
tool_result=tool_result,
))
logger.error(
"Tool '%s' execution failed on turn %d: %s",
tool_name, turn + 1, e,
)
# Also check if the tool returned an error in its JSON result
try:
result_data = json.loads(tool_result)
if isinstance(result_data, dict):
err = result_data.get("error")
exit_code = result_data.get("exit_code")
if err and exit_code and exit_code < 0:
tool_errors.append(ToolError(
turn=turn + 1, tool_name=tool_name,
arguments=tool_args_raw[:200],
error=str(err),
tool_result=tool_result[:500],
))
except (json.JSONDecodeError, TypeError):
pass
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",
"tool_call_id": tc_id,
"content": tool_result,
}
)
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",
self.task_id[:8], turn + 1, api_elapsed,
len(assistant_msg.tool_calls), turn_elapsed,
)
else:
# No tool calls -- model is done
msg_dict = {
"role": "assistant",
"content": assistant_msg.content or "",
}
if reasoning:
msg_dict["reasoning_content"] = reasoning
messages.append(msg_dict)
turn_elapsed = _time.monotonic() - turn_start
logger.info(
"[%s] turn %d: api=%.1fs, no tools (finished), turn_total=%.1fs",
self.task_id[:8], turn + 1, api_elapsed, turn_elapsed,
)
return AgentResult(
messages=messages,
managed_state=self._get_managed_state(),
turns_used=turn + 1,
finished_naturally=True,
reasoning_per_turn=reasoning_per_turn,
tool_errors=tool_errors,
)
# Hit max turns without the model stopping
logger.info("Agent hit max_turns (%d) without finishing", self.max_turns)
return AgentResult(
messages=messages,
managed_state=self._get_managed_state(),
turns_used=self.max_turns,
finished_naturally=False,
reasoning_per_turn=reasoning_per_turn,
tool_errors=tool_errors,
)
def _get_managed_state(self) -> Optional[Dict[str, Any]]:
"""
Get ManagedServer state if the server supports it.
Returns state dict with SequenceNodes containing tokens/logprobs/masks,
or None if the server doesn't support get_state() (e.g., regular OpenAI server).
"""
if hasattr(self.server, "get_state"):
return self.server.get_state()
return None

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# OpenThoughts-TBLite Evaluation Environment
This environment evaluates terminal agents on the [OpenThoughts-TBLite](https://huggingface.co/datasets/open-thoughts/OpenThoughts-TBLite) benchmark, a difficulty-calibrated subset of [Terminal-Bench 2.0](https://www.tbench.ai/leaderboard/terminal-bench/2.0).
## Source
OpenThoughts-TBLite was created by the [OpenThoughts](https://www.openthoughts.ai/) Agent team in collaboration with [Snorkel AI](https://snorkel.ai/) and [Bespoke Labs](https://bespokelabs.ai/). The original dataset and documentation live at:
- **Dataset (source):** [open-thoughts/OpenThoughts-TBLite](https://huggingface.co/datasets/open-thoughts/OpenThoughts-TBLite)
- **GitHub:** [open-thoughts/OpenThoughts-TBLite](https://github.com/open-thoughts/OpenThoughts-TBLite)
- **Blog post:** [openthoughts.ai/blog/openthoughts-tblite](https://www.openthoughts.ai/blog/openthoughts-tblite)
## Our Dataset
We converted the source into the same schema used by our Terminal-Bench 2.0 environment (pre-built Docker Hub images, base64-encoded test tarballs, etc.) and published it as:
- **Dataset (ours):** [NousResearch/openthoughts-tblite](https://huggingface.co/datasets/NousResearch/openthoughts-tblite)
- **Docker images:** `nousresearch/tblite-<task-name>:latest` on Docker Hub (100 images)
The conversion script is at `scripts/prepare_tblite_dataset.py`.
## Why TBLite?
Terminal-Bench 2.0 is one of the strongest frontier evaluations for terminal agents, but when a model scores near the floor (e.g., Qwen 3 8B at <1%), many changes look identical in aggregate score. TBLite addresses this by calibrating task difficulty using Claude Haiku 4.5 as a reference:
| Difficulty | Pass Rate Range | Tasks |
|------------|----------------|-------|
| Easy | >= 70% | 40 |
| Medium | 40-69% | 26 |
| Hard | 10-39% | 26 |
| Extreme | < 10% | 8 |
This gives enough solvable tasks to detect small improvements quickly, while preserving enough hard tasks to avoid saturation. The correlation between TBLite and TB2 scores is **r = 0.911**.
TBLite also runs 2.6-8x faster than the full TB2, making it practical for iteration loops.
## Usage
```bash
# Run the full benchmark
python environments/benchmarks/tblite/tblite_env.py evaluate
# Filter to specific tasks
python environments/benchmarks/tblite/tblite_env.py evaluate \
--env.task_filter "broken-python,pandas-etl"
# Use a different model
python environments/benchmarks/tblite/tblite_env.py evaluate \
--server.model_name "qwen/qwen3-30b"
```
## Architecture
`TBLiteEvalEnv` is a thin subclass of `TerminalBench2EvalEnv`. All evaluation logic (agent loop, Docker sandbox management, test verification, metrics) is inherited. Only the defaults differ:
| Setting | TB2 | TBLite |
|----------------|----------------------------------|-----------------------------------------|
| Dataset | `NousResearch/terminal-bench-2` | `NousResearch/openthoughts-tblite` |
| Tasks | 89 | 100 |
| Task timeout | 1800s (30 min) | 1200s (20 min) |
| Wandb name | `terminal-bench-2` | `openthoughts-tblite` |
## Citation
```bibtex
@software{OpenThoughts-TBLite,
author = {OpenThoughts-Agent team, Snorkel AI, Bespoke Labs},
month = Feb,
title = {{OpenThoughts-TBLite: A High-Signal Benchmark for Iterating on Terminal Agents}},
howpublished = {https://www.openthoughts.ai/blog/openthoughts-tblite},
year = {2026}
}
```

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@@ -1,39 +0,0 @@
# OpenThoughts-TBLite Evaluation -- Default Configuration
#
# Eval-only environment for the TBLite benchmark (100 difficulty-calibrated
# terminal tasks, a faster proxy for Terminal-Bench 2.0).
# Uses Modal terminal backend for per-task cloud-isolated sandboxes
# and OpenRouter for inference.
#
# Usage:
# python environments/benchmarks/tblite/tblite_env.py evaluate \
# --config environments/benchmarks/tblite/default.yaml
#
# # Override model:
# python environments/benchmarks/tblite/tblite_env.py evaluate \
# --config environments/benchmarks/tblite/default.yaml \
# --openai.model_name anthropic/claude-sonnet-4
env:
enabled_toolsets: ["terminal", "file"]
max_agent_turns: 60
max_token_length: 32000
agent_temperature: 0.8
terminal_backend: "modal"
terminal_timeout: 300 # 5 min per command (builds, pip install)
tool_pool_size: 128 # thread pool for 100 parallel tasks
dataset_name: "NousResearch/openthoughts-tblite"
test_timeout: 600
task_timeout: 1200 # 20 min wall-clock per task (TBLite tasks are faster)
tokenizer_name: "NousResearch/Hermes-3-Llama-3.1-8B"
use_wandb: true
wandb_name: "openthoughts-tblite"
ensure_scores_are_not_same: false
data_dir_to_save_evals: "environments/benchmarks/evals/openthoughts-tblite"
openai:
base_url: "https://openrouter.ai/api/v1"
model_name: "anthropic/claude-opus-4.6"
server_type: "openai"
health_check: false
# api_key loaded from OPENROUTER_API_KEY in .env

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@@ -1,38 +0,0 @@
# OpenThoughts-TBLite Evaluation -- Docker Backend (Local Compute)
#
# Runs tasks in Docker containers on the local machine.
# Sandboxed like Modal but no cloud costs. Good for dev/testing.
#
# Usage:
# python environments/benchmarks/tblite/tblite_env.py evaluate \
# --config environments/benchmarks/tblite/local.yaml
#
# # Override concurrency:
# python environments/benchmarks/tblite/tblite_env.py evaluate \
# --config environments/benchmarks/tblite/local.yaml \
# --env.eval_concurrency 4
env:
enabled_toolsets: ["terminal", "file"]
max_agent_turns: 60
max_token_length: 32000
agent_temperature: 0.8
terminal_backend: "docker"
terminal_timeout: 300
tool_pool_size: 16
dataset_name: "NousResearch/openthoughts-tblite"
test_timeout: 600
task_timeout: 1200
eval_concurrency: 8 # max 8 tasks at once
tokenizer_name: "NousResearch/Hermes-3-Llama-3.1-8B"
use_wandb: false
wandb_name: "openthoughts-tblite-local"
ensure_scores_are_not_same: false
data_dir_to_save_evals: "environments/benchmarks/evals/openthoughts-tblite-local"
openai:
base_url: "https://openrouter.ai/api/v1"
model_name: "anthropic/claude-sonnet-4"
server_type: "openai"
health_check: false
# api_key loaded from OPENROUTER_API_KEY in .env

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@@ -1,40 +0,0 @@
# OpenThoughts-TBLite Evaluation -- Local vLLM Backend
#
# Runs against a local vLLM server with Docker sandboxes.
#
# Start the vLLM server from the atropos directory:
# python -m example_trainer.vllm_api_server \
# --model Qwen/Qwen3-4B-Instruct-2507 \
# --port 9001 \
# --gpu-memory-utilization 0.8 \
# --max-model-len=32000
#
# Then run:
# python environments/benchmarks/tblite/tblite_env.py evaluate \
# --config environments/benchmarks/tblite/local_vllm.yaml
env:
enabled_toolsets: ["terminal", "file"]
max_agent_turns: 60
max_token_length: 16000
agent_temperature: 0.6
terminal_backend: "docker"
terminal_timeout: 300
tool_pool_size: 16
dataset_name: "NousResearch/openthoughts-tblite"
test_timeout: 600
task_timeout: 1200
eval_concurrency: 8
tool_call_parser: "hermes"
system_prompt: "You are an expert terminal agent. You MUST use the provided tools to complete tasks. Use the terminal tool to run shell commands, read_file to read files, write_file to write files, search_files to search, and patch to edit files. Do NOT write out solutions as text - execute them using the tools. Always start by exploring the environment with terminal commands."
tokenizer_name: "Qwen/Qwen3-4B-Instruct-2507"
use_wandb: false
wandb_name: "tblite-qwen3-4b-instruct"
ensure_scores_are_not_same: false
data_dir_to_save_evals: "environments/benchmarks/evals/tblite-qwen3-4b-local"
openai:
base_url: "http://localhost:9001"
model_name: "Qwen/Qwen3-4B-Instruct-2507"
server_type: "vllm"
health_check: false

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@@ -1,42 +0,0 @@
#!/bin/bash
# OpenThoughts-TBLite Evaluation
#
# Run from repo root:
# bash environments/benchmarks/tblite/run_eval.sh
#
# Override model:
# bash environments/benchmarks/tblite/run_eval.sh \
# --openai.model_name anthropic/claude-sonnet-4
#
# Run a subset:
# bash environments/benchmarks/tblite/run_eval.sh \
# --env.task_filter broken-python,pandas-etl
#
# All terminal settings (backend, timeout, lifetime, pool size) are
# configured via env config fields -- no env vars needed.
set -euo pipefail
mkdir -p logs evals/openthoughts-tblite
LOG_FILE="logs/tblite_$(date +%Y%m%d_%H%M%S).log"
echo "OpenThoughts-TBLite Evaluation"
echo "Log file: $LOG_FILE"
echo ""
# Unbuffered python output so logs are written in real-time
export PYTHONUNBUFFERED=1
# Show INFO-level agent loop timing (api/tool durations per turn)
# These go to the log file; tqdm + [START]/[PASS]/[FAIL] go to terminal
export LOGLEVEL=INFO
python tblite_env.py evaluate \
--config default.yaml \
"$@" \
2>&1 | tee "$LOG_FILE"
echo ""
echo "Log saved to: $LOG_FILE"
echo "Eval results: evals/openthoughts-tblite/"

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@@ -1,119 +0,0 @@
"""
OpenThoughts-TBLite Evaluation Environment
A lighter, faster alternative to Terminal-Bench 2.0 for iterating on terminal
agents. Uses the same evaluation logic as TerminalBench2EvalEnv but defaults
to the NousResearch/openthoughts-tblite dataset (100 difficulty-calibrated
tasks vs TB2's 89 harder tasks).
TBLite tasks are a curated subset of TB2 with a difficulty distribution
designed to give meaningful signal even for smaller models:
- Easy (40 tasks): >= 70% pass rate with Claude Haiku 4.5
- Medium (26 tasks): 40-69% pass rate
- Hard (26 tasks): 10-39% pass rate
- Extreme (8 tasks): < 10% pass rate
Usage:
python environments/benchmarks/tblite/tblite_env.py evaluate
# Filter to specific tasks:
python environments/benchmarks/tblite/tblite_env.py evaluate \\
--env.task_filter "broken-python,pandas-etl"
"""
import os
import sys
from pathlib import Path
from typing import List, Tuple
_repo_root = Path(__file__).resolve().parent.parent.parent.parent
if str(_repo_root) not in sys.path:
sys.path.insert(0, str(_repo_root))
from pydantic import Field
from atroposlib.envs.base import EvalHandlingEnum
from atroposlib.envs.server_handling.server_manager import APIServerConfig
from environments.benchmarks.terminalbench_2.terminalbench2_env import (
TerminalBench2EvalConfig,
TerminalBench2EvalEnv,
)
class TBLiteEvalConfig(TerminalBench2EvalConfig):
"""Configuration for the OpenThoughts-TBLite evaluation environment.
Inherits all TB2 config fields. Only the dataset default and task timeout
differ -- TBLite tasks are calibrated to be faster.
"""
dataset_name: str = Field(
default="NousResearch/openthoughts-tblite",
description="HuggingFace dataset containing TBLite tasks.",
)
task_timeout: int = Field(
default=1200,
description="Maximum wall-clock seconds per task. TBLite tasks are "
"generally faster than TB2, so 20 minutes is usually sufficient.",
)
class TBLiteEvalEnv(TerminalBench2EvalEnv):
"""OpenThoughts-TBLite evaluation environment.
Inherits all evaluation logic from TerminalBench2EvalEnv (agent loop,
test verification, Docker image resolution, metrics, wandb logging).
Only the default configuration differs.
"""
name = "openthoughts-tblite"
env_config_cls = TBLiteEvalConfig
@classmethod
def config_init(cls) -> Tuple[TBLiteEvalConfig, List[APIServerConfig]]:
env_config = TBLiteEvalConfig(
enabled_toolsets=["terminal", "file"],
disabled_toolsets=None,
distribution=None,
max_agent_turns=60,
max_token_length=16000,
agent_temperature=0.6,
system_prompt=None,
terminal_backend="modal",
terminal_timeout=300,
test_timeout=180,
# 100 tasks in parallel
tool_pool_size=128,
eval_handling=EvalHandlingEnum.STOP_TRAIN,
group_size=1,
steps_per_eval=1,
total_steps=1,
tokenizer_name="NousResearch/Hermes-3-Llama-3.1-8B",
use_wandb=True,
wandb_name="openthoughts-tblite",
ensure_scores_are_not_same=False,
)
server_configs = [
APIServerConfig(
base_url="https://openrouter.ai/api/v1",
model_name="anthropic/claude-sonnet-4",
server_type="openai",
api_key=os.getenv("OPENROUTER_API_KEY", ""),
health_check=False,
)
]
return env_config, server_configs
if __name__ == "__main__":
TBLiteEvalEnv.cli()

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@@ -1,42 +0,0 @@
# Terminal-Bench 2.0 Evaluation -- Default Configuration
#
# Eval-only environment for the TB2 benchmark (89 terminal tasks).
# Uses Modal terminal backend for per-task cloud-isolated sandboxes
# and OpenRouter for inference.
#
# Usage:
# python environments/benchmarks/terminalbench_2/terminalbench2_env.py evaluate \
# --config environments/benchmarks/terminalbench_2/default.yaml
#
# # Override model:
# python environments/benchmarks/terminalbench_2/terminalbench2_env.py evaluate \
# --config environments/benchmarks/terminalbench_2/default.yaml \
# --openai.model_name anthropic/claude-sonnet-4
env:
enabled_toolsets: ["terminal", "file"]
max_agent_turns: 60
max_token_length: 32000
agent_temperature: 0.8
terminal_backend: "modal"
terminal_timeout: 300 # 5 min per command (builds, pip install)
tool_pool_size: 128 # thread pool for 89 parallel tasks
dataset_name: "NousResearch/terminal-bench-2"
test_timeout: 600
task_timeout: 1800 # 30 min wall-clock per task, auto-FAIL if exceeded
tokenizer_name: "NousResearch/Hermes-3-Llama-3.1-8B"
use_wandb: true
wandb_name: "terminal-bench-2"
ensure_scores_are_not_same: false
data_dir_to_save_evals: "environments/benchmarks/evals/terminal-bench-2"
# CRITICAL: Limit concurrent Modal sandbox creations to avoid deadlocks.
# Modal's blocking calls (App.lookup, etc.) deadlock when too many sandboxes
# are created simultaneously inside thread pool workers via asyncio.run().
max_concurrent_tasks: 8
openai:
base_url: "https://openrouter.ai/api/v1"
model_name: "anthropic/claude-opus-4.6"
server_type: "openai"
health_check: false
# api_key loaded from OPENROUTER_API_KEY in .env

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@@ -1,42 +0,0 @@
#!/bin/bash
# Terminal-Bench 2.0 Evaluation
#
# Run from repo root:
# bash environments/benchmarks/terminalbench_2/run_eval.sh
#
# Override model:
# bash environments/benchmarks/terminalbench_2/run_eval.sh \
# --openai.model_name anthropic/claude-sonnet-4
#
# Run a subset:
# bash environments/benchmarks/terminalbench_2/run_eval.sh \
# --env.task_filter fix-git,git-multibranch
#
# All terminal settings (backend, timeout, lifetime, pool size) are
# configured via env config fields -- no env vars needed.
set -euo pipefail
mkdir -p logs evals/terminal-bench-2
LOG_FILE="logs/terminalbench2_$(date +%Y%m%d_%H%M%S).log"
echo "Terminal-Bench 2.0 Evaluation"
echo "Log file: $LOG_FILE"
echo ""
# Unbuffered python output so logs are written in real-time
export PYTHONUNBUFFERED=1
# Show INFO-level agent loop timing (api/tool durations per turn)
# These go to the log file; tqdm + [START]/[PASS]/[FAIL] go to terminal
export LOGLEVEL=INFO
python terminalbench2_env.py evaluate \
--config default.yaml \
"$@" \
2>&1 | tee "$LOG_FILE"
echo ""
echo "Log saved to: $LOG_FILE"
echo "Eval results: evals/terminal-bench-2/"

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# YC-Bench: Long-Horizon Agent Benchmark
[YC-Bench](https://github.com/collinear-ai/yc-bench) by [Collinear AI](https://collinear.ai/) is a deterministic, long-horizon benchmark that tests LLM agents' ability to act as a tech startup CEO. The agent manages a simulated company over 1-3 years, making compounding decisions about resource allocation, cash flow, task management, and prestige specialisation across 4 skill domains.
Unlike TerminalBench2 (which evaluates per-task coding ability with binary pass/fail), YC-Bench measures **long-term strategic coherence** — whether an agent can maintain consistent strategy, manage compounding consequences, and adapt plans over hundreds of turns.
## Setup
```bash
# Install yc-bench (optional dependency)
pip install "hermes-agent[yc-bench]"
# Or install from source
git clone https://github.com/collinear-ai/yc-bench
cd yc-bench && pip install -e .
# Verify
yc-bench --help
```
## Running
```bash
# From the repo root:
bash environments/benchmarks/yc_bench/run_eval.sh
# Or directly:
python environments/benchmarks/yc_bench/yc_bench_env.py evaluate \
--config environments/benchmarks/yc_bench/default.yaml
# Override model:
bash environments/benchmarks/yc_bench/run_eval.sh \
--openai.model_name anthropic/claude-opus-4-20250514
# Quick single-preset test:
bash environments/benchmarks/yc_bench/run_eval.sh \
--env.presets '["fast_test"]' --env.seeds '[1]'
```
## How It Works
### Architecture
```
HermesAgentLoop (our agent)
-> terminal tool -> subprocess("yc-bench company status") -> JSON output
-> terminal tool -> subprocess("yc-bench task accept --task-id X") -> JSON
-> terminal tool -> subprocess("yc-bench sim resume") -> JSON (advance time)
-> ... (100-500 turns per run)
```
The environment initialises the simulation via `yc-bench sim init` (NOT `yc-bench run`, which would start yc-bench's own built-in agent loop). Our `HermesAgentLoop` then drives all interaction through CLI commands.
### Simulation Mechanics
- **4 skill domains**: research, inference, data_environment, training
- **Prestige system** (1.0-10.0): Gates access to higher-paying tasks
- **Employee management**: Junior/Mid/Senior with domain-specific skill rates
- **Throughput splitting**: `effective_rate = base_rate / N` active tasks per employee
- **Financial pressure**: Monthly payroll, bankruptcy = game over
- **Deterministic**: SHA256-based RNG — same seed + preset = same world
### Difficulty Presets
| Preset | Employees | Tasks | Focus |
|-----------|-----------|-------|-------|
| tutorial | 3 | 50 | Basic loop mechanics |
| easy | 5 | 100 | Throughput awareness |
| **medium**| 5 | 150 | Prestige climbing + domain specialisation |
| **hard** | 7 | 200 | Precise ETA reasoning |
| nightmare | 8 | 300 | Sustained perfection under payroll pressure |
| fast_test | (varies) | (varies) | Quick validation (~50 turns) |
Default eval runs **fast_test + medium + hard** × 3 seeds = 9 runs.
### Scoring
```
composite = 0.5 × survival + 0.5 × normalised_funds
```
- **Survival** (binary): Did the company avoid bankruptcy?
- **Normalised funds** (0.0-1.0): Log-scale relative to initial $250K capital
## Configuration
Key fields in `default.yaml`:
| Field | Default | Description |
|-------|---------|-------------|
| `presets` | `["fast_test", "medium", "hard"]` | Which presets to evaluate |
| `seeds` | `[1, 2, 3]` | RNG seeds per preset |
| `max_agent_turns` | 200 | Max LLM calls per run |
| `run_timeout` | 3600 | Wall-clock timeout per run (seconds) |
| `survival_weight` | 0.5 | Weight of survival in composite score |
| `funds_weight` | 0.5 | Weight of normalised funds in composite |
| `horizon_years` | null | Override horizon (null = auto from preset) |
## Cost & Time Estimates
Each run is 100-500 LLM turns. Approximate costs per run at typical API rates:
| Preset | Turns | Time | Est. Cost |
|--------|-------|------|-----------|
| fast_test | ~50 | 5-10 min | $1-5 |
| medium | ~200 | 20-40 min | $5-15 |
| hard | ~300 | 30-60 min | $10-25 |
Full default eval (9 runs): ~3-6 hours, $50-200 depending on model.
## References
- [collinear-ai/yc-bench](https://github.com/collinear-ai/yc-bench) — Official repository
- [Collinear AI](https://collinear.ai/) — Company behind yc-bench
- [TerminalBench2](../terminalbench_2/) — Per-task coding benchmark (complementary)

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@@ -1,43 +0,0 @@
# YC-Bench Evaluation -- Default Configuration
#
# Long-horizon agent benchmark: agent plays CEO of an AI startup over
# a simulated 1-3 year run, interacting via yc-bench CLI subcommands.
#
# Requires: pip install "hermes-agent[yc-bench]"
#
# Usage:
# python environments/benchmarks/yc_bench/yc_bench_env.py evaluate \
# --config environments/benchmarks/yc_bench/default.yaml
#
# # Override model:
# python environments/benchmarks/yc_bench/yc_bench_env.py evaluate \
# --config environments/benchmarks/yc_bench/default.yaml \
# --openai.model_name anthropic/claude-opus-4-20250514
env:
enabled_toolsets: ["terminal"]
max_agent_turns: 200
max_token_length: 32000
agent_temperature: 0.0
terminal_backend: "local"
terminal_timeout: 60
presets: ["fast_test", "medium", "hard"]
seeds: [1, 2, 3]
run_timeout: 3600 # 60 min wall-clock per run, auto-FAIL if exceeded
survival_weight: 0.5 # weight of binary survival in composite score
funds_weight: 0.5 # weight of normalised final funds in composite score
db_dir: "/tmp/yc_bench_dbs"
company_name: "BenchCo"
start_date: "01/01/2025" # MM/DD/YYYY (yc-bench convention)
tokenizer_name: "NousResearch/Hermes-3-Llama-3.1-8B"
use_wandb: true
wandb_name: "yc-bench"
ensure_scores_are_not_same: false
data_dir_to_save_evals: "environments/benchmarks/evals/yc-bench"
openai:
base_url: "https://openrouter.ai/api/v1"
model_name: "anthropic/claude-sonnet-4.6"
server_type: "openai"
health_check: false
# api_key loaded from OPENROUTER_API_KEY in .env

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@@ -1,34 +0,0 @@
#!/bin/bash
# YC-Bench Evaluation
#
# Requires: pip install "hermes-agent[yc-bench]"
#
# Run from repo root:
# bash environments/benchmarks/yc_bench/run_eval.sh
#
# Override model:
# bash environments/benchmarks/yc_bench/run_eval.sh \
# --openai.model_name anthropic/claude-opus-4-20250514
#
# Run a single preset:
# bash environments/benchmarks/yc_bench/run_eval.sh \
# --env.presets '["fast_test"]' --env.seeds '[1]'
set -euo pipefail
mkdir -p logs evals/yc-bench
LOG_FILE="logs/yc_bench_$(date +%Y%m%d_%H%M%S).log"
echo "YC-Bench Evaluation"
echo "Log: $LOG_FILE"
echo ""
PYTHONUNBUFFERED=1 LOGLEVEL="${LOGLEVEL:-INFO}" \
python environments/benchmarks/yc_bench/yc_bench_env.py evaluate \
--config environments/benchmarks/yc_bench/default.yaml \
"$@" \
2>&1 | tee "$LOG_FILE"
echo ""
echo "Log saved to: $LOG_FILE"

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@@ -1,848 +0,0 @@
"""
YCBenchEvalEnv -- YC-Bench Long-Horizon Agent Benchmark Environment
Evaluates agentic LLMs on YC-Bench: a deterministic, long-horizon benchmark
where the agent acts as CEO of an AI startup over a simulated 1-3 year run.
The agent manages cash flow, employees, tasks, and prestige across 4 domains,
interacting exclusively via CLI subprocess calls against a SQLite-backed
discrete-event simulation.
Unlike TerminalBench2 (per-task binary pass/fail), YC-Bench measures sustained
multi-turn strategic coherence -- whether an agent can manage compounding
decisions over hundreds of turns without going bankrupt.
This is an eval-only environment. Run via:
python environments/benchmarks/yc_bench/yc_bench_env.py evaluate \
--config environments/benchmarks/yc_bench/default.yaml
The evaluate flow:
1. setup() -- Verifies yc-bench installed, builds eval matrix (preset x seed)
2. evaluate() -- Iterates over all runs sequentially through:
a. rollout_and_score_eval() -- Per-run agent loop
- Initialises a fresh yc-bench simulation via `sim init` (NOT `run`)
- Runs HermesAgentLoop with terminal tool only
- Reads final SQLite DB to extract score
- Returns survival (0/1) + normalised funds score
b. Aggregates per-preset and overall metrics
c. Logs results via evaluate_log() and wandb
Key features:
- CLI-only interface: agent calls yc-bench subcommands via terminal tool
- Deterministic: same seed + preset = same world (SHA256-based RNG)
- Multi-dimensional scoring: survival + normalised final funds
- Per-preset difficulty breakdown in results
- Isolated SQLite DB per run (no cross-run state leakage)
Requires: pip install hermes-agent[yc-bench]
"""
import asyncio
import datetime
import json
import logging
import math
import os
import sqlite3
import subprocess
import sys
import threading
import time
import uuid
from collections import defaultdict
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
_repo_root = Path(__file__).resolve().parent.parent.parent.parent
if str(_repo_root) not in sys.path:
sys.path.insert(0, str(_repo_root))
from pydantic import Field
from atroposlib.envs.base import EvalHandlingEnum
from atroposlib.envs.server_handling.server_manager import APIServerConfig
from environments.agent_loop import HermesAgentLoop
from environments.hermes_base_env import HermesAgentBaseEnv, HermesAgentEnvConfig
logger = logging.getLogger(__name__)
# =============================================================================
# System prompt
# =============================================================================
YC_BENCH_SYSTEM_PROMPT = """\
You are the autonomous CEO of an early-stage AI startup in a deterministic
business simulation. You manage the company exclusively through the `yc-bench`
CLI tool. Your primary goal is to **survive** until the simulation horizon ends
without going bankrupt, while **maximising final funds**.
## Simulation Mechanics
- **Funds**: You start with $250,000 seed capital. Revenue comes from completing
tasks. Rewards scale with your prestige: `base × (1 + scale × (prestige 1))`.
- **Domains**: There are 4 skill domains: **research**, **inference**,
**data_environment**, and **training**. Each has its own prestige level
(1.0-10.0). Higher prestige unlocks better-paying tasks.
- **Employees**: You have employees (Junior/Mid/Senior) with domain-specific
skill rates. **Throughput splits**: `effective_rate = base_rate / N` where N
is the number of active tasks assigned to that employee. Focus beats breadth.
- **Payroll**: Deducted automatically on the first business day of each month.
Running out of funds = bankruptcy = game over.
- **Time**: The simulation runs on business days (Mon-Fri), 09:00-18:00.
Time only advances when you call `yc-bench sim resume`.
## Task Lifecycle
1. Browse market tasks with `market browse`
2. Accept a task with `task accept` (this sets its deadline)
3. Assign employees with `task assign`
4. Dispatch with `task dispatch` to start work
5. Call `sim resume` to advance time and let employees make progress
6. Tasks complete when all domain requirements are fulfilled
**Penalties for failure vary by difficulty preset.** Completing a task on time
earns full reward + prestige gain. Missing a deadline or cancelling a task
incurs prestige penalties -- cancelling is always more costly than letting a
task fail, so cancel only as a last resort.
## CLI Commands
### Observe
- `yc-bench company status` -- funds, prestige, runway
- `yc-bench employee list` -- skills, salary, active tasks
- `yc-bench market browse [--domain D] [--required-prestige-lte N]` -- available tasks
- `yc-bench task list [--status active|planned]` -- your tasks
- `yc-bench task inspect --task-id UUID` -- progress, deadline, assignments
- `yc-bench finance ledger [--category monthly_payroll|task_reward]` -- transaction history
- `yc-bench report monthly` -- monthly P&L
### Act
- `yc-bench task accept --task-id UUID` -- accept from market
- `yc-bench task assign --task-id UUID --employee-id UUID` -- assign employee
- `yc-bench task dispatch --task-id UUID` -- start work (needs >=1 assignment)
- `yc-bench task cancel --task-id UUID --reason "text"` -- cancel (prestige penalty)
- `yc-bench sim resume` -- advance simulation clock
### Memory (persists across context truncation)
- `yc-bench scratchpad read` -- read your persistent notes
- `yc-bench scratchpad write --content "text"` -- overwrite notes
- `yc-bench scratchpad append --content "text"` -- append to notes
- `yc-bench scratchpad clear` -- clear notes
## Strategy Guidelines
1. **Specialise in 2-3 domains** to climb the prestige ladder faster and unlock
high-reward tasks. Don't spread thin across all 4 domains early on.
2. **Focus employees** -- assigning one employee to many tasks halves their
throughput per additional task. Keep assignments concentrated.
3. **Use the scratchpad** to track your strategy, upcoming deadlines, and
employee assignments. This persists even if conversation context is truncated.
4. **Monitor runway** -- always know how many months of payroll you can cover.
Accept high-reward tasks before payroll dates.
5. **Don't over-accept** -- taking too many tasks and missing deadlines cascades
into prestige loss, locking you out of profitable contracts.
6. Use `finance ledger` and `report monthly` to track revenue trends.
## Your Turn
Each turn:
1. Call `yc-bench company status` and `yc-bench task list` to orient yourself.
2. Check for completed tasks and pending deadlines.
3. Browse market for profitable tasks within your prestige level.
4. Accept, assign, and dispatch tasks strategically.
5. Call `yc-bench sim resume` to advance time.
6. Repeat until the simulation ends.
Think step by step before acting."""
# Starting funds in cents ($250,000)
INITIAL_FUNDS_CENTS = 25_000_000
# Default horizon per preset (years)
_PRESET_HORIZONS = {
"tutorial": 1,
"easy": 1,
"medium": 1,
"hard": 1,
"nightmare": 1,
"fast_test": 1,
"default": 3,
"high_reward": 1,
}
# =============================================================================
# Configuration
# =============================================================================
class YCBenchEvalConfig(HermesAgentEnvConfig):
"""
Configuration for the YC-Bench evaluation environment.
Extends HermesAgentEnvConfig with YC-Bench-specific settings for
preset selection, seed control, scoring, and simulation parameters.
"""
presets: List[str] = Field(
default=["fast_test", "medium", "hard"],
description="YC-Bench preset names to evaluate.",
)
seeds: List[int] = Field(
default=[1, 2, 3],
description="Random seeds -- each preset x seed = one run.",
)
run_timeout: int = Field(
default=3600,
description="Maximum wall-clock seconds per run. Default 60 minutes.",
)
survival_weight: float = Field(
default=0.5,
description="Weight of survival (0/1) in composite score.",
)
funds_weight: float = Field(
default=0.5,
description="Weight of normalised final funds in composite score.",
)
db_dir: str = Field(
default="/tmp/yc_bench_dbs",
description="Directory for per-run SQLite databases.",
)
horizon_years: Optional[int] = Field(
default=None,
description=(
"Simulation horizon in years. If None (default), inferred from "
"preset name (1 year for most, 3 for 'default')."
),
)
company_name: str = Field(
default="BenchCo",
description="Name of the simulated company.",
)
start_date: str = Field(
default="01/01/2025",
description="Simulation start date in MM/DD/YYYY format (yc-bench convention).",
)
# =============================================================================
# Scoring helpers
# =============================================================================
def _read_final_score(db_path: str) -> Dict[str, Any]:
"""
Read final game state from a YC-Bench SQLite database.
Returns dict with final_funds_cents (int), survived (bool),
terminal_reason (str).
Note: yc-bench table names are plural -- 'companies' not 'company',
'sim_events' not 'simulation_log'.
"""
if not os.path.exists(db_path):
logger.warning("DB not found at %s", db_path)
return {
"final_funds_cents": 0,
"survived": False,
"terminal_reason": "db_missing",
}
conn = None
try:
conn = sqlite3.connect(db_path)
cur = conn.cursor()
# Read final funds from the 'companies' table
cur.execute("SELECT funds_cents FROM companies LIMIT 1")
row = cur.fetchone()
funds = row[0] if row else 0
# Determine terminal reason from 'sim_events' table
terminal_reason = "unknown"
try:
cur.execute(
"SELECT event_type FROM sim_events "
"WHERE event_type IN ('bankruptcy', 'horizon_end') "
"ORDER BY scheduled_at DESC LIMIT 1"
)
event_row = cur.fetchone()
if event_row:
terminal_reason = event_row[0]
except sqlite3.OperationalError:
# Table may not exist if simulation didn't progress
pass
survived = funds >= 0 and terminal_reason != "bankruptcy"
return {
"final_funds_cents": funds,
"survived": survived,
"terminal_reason": terminal_reason,
}
except Exception as e:
logger.error("Failed to read DB %s: %s", db_path, e)
return {
"final_funds_cents": 0,
"survived": False,
"terminal_reason": f"db_error: {e}",
}
finally:
if conn:
conn.close()
def _compute_composite_score(
final_funds_cents: int,
survived: bool,
survival_weight: float = 0.5,
funds_weight: float = 0.5,
initial_funds_cents: int = INITIAL_FUNDS_CENTS,
) -> float:
"""
Compute composite score from survival and final funds.
Score = survival_weight * survival_score
+ funds_weight * normalised_funds_score
Normalised funds uses log-scale relative to initial capital:
- funds <= 0: 0.0
- funds == initial: ~0.15
- funds == 10x: ~0.52
- funds == 100x: 1.0
"""
survival_score = 1.0 if survived else 0.0
if final_funds_cents <= 0:
funds_score = 0.0
else:
max_ratio = 100.0
ratio = final_funds_cents / max(initial_funds_cents, 1)
funds_score = min(math.log1p(ratio) / math.log1p(max_ratio), 1.0)
return survival_weight * survival_score + funds_weight * funds_score
# =============================================================================
# Main Environment
# =============================================================================
class YCBenchEvalEnv(HermesAgentBaseEnv):
"""
YC-Bench long-horizon agent benchmark environment (eval-only).
Each eval item is a (preset, seed) pair. The environment initialises the
simulation via ``yc-bench sim init`` (NOT ``yc-bench run`` which would start
a competing built-in agent loop). The HermesAgentLoop then drives the
interaction by calling individual yc-bench CLI commands via the terminal tool.
After the agent loop ends, the SQLite DB is read to extract the final score.
Scoring:
composite = 0.5 * survival + 0.5 * normalised_funds
"""
name = "yc-bench"
env_config_cls = YCBenchEvalConfig
@classmethod
def config_init(cls) -> Tuple[YCBenchEvalConfig, List[APIServerConfig]]:
env_config = YCBenchEvalConfig(
enabled_toolsets=["terminal"],
disabled_toolsets=None,
distribution=None,
max_agent_turns=200,
max_token_length=32000,
agent_temperature=0.0,
system_prompt=YC_BENCH_SYSTEM_PROMPT,
terminal_backend="local",
terminal_timeout=60,
presets=["fast_test", "medium", "hard"],
seeds=[1, 2, 3],
run_timeout=3600,
survival_weight=0.5,
funds_weight=0.5,
db_dir="/tmp/yc_bench_dbs",
eval_handling=EvalHandlingEnum.STOP_TRAIN,
group_size=1,
steps_per_eval=1,
total_steps=1,
tokenizer_name="NousResearch/Hermes-3-Llama-3.1-8B",
use_wandb=True,
wandb_name="yc-bench",
ensure_scores_are_not_same=False,
)
server_configs = [
APIServerConfig(
base_url="https://openrouter.ai/api/v1",
model_name="anthropic/claude-sonnet-4.6",
server_type="openai",
api_key=os.getenv("OPENROUTER_API_KEY", ""),
health_check=False,
)
]
return env_config, server_configs
# =========================================================================
# Setup
# =========================================================================
async def setup(self):
"""Verify yc-bench is installed and build the eval matrix."""
# Verify yc-bench CLI is available
try:
result = subprocess.run(
["yc-bench", "--help"], capture_output=True, text=True, timeout=10
)
if result.returncode != 0:
raise FileNotFoundError
except (FileNotFoundError, subprocess.TimeoutExpired):
raise RuntimeError(
"yc-bench CLI not found. Install with:\n"
' pip install "hermes-agent[yc-bench]"\n'
"Or: git clone https://github.com/collinear-ai/yc-bench "
"&& cd yc-bench && pip install -e ."
)
print("yc-bench CLI verified.")
# Build eval matrix: preset x seed
self.all_eval_items = [
{"preset": preset, "seed": seed}
for preset in self.config.presets
for seed in self.config.seeds
]
self.iter = 0
os.makedirs(self.config.db_dir, exist_ok=True)
self.eval_metrics: List[Tuple[str, float]] = []
# Streaming JSONL log for crash-safe result persistence
log_dir = os.path.join(os.path.dirname(__file__), "logs")
os.makedirs(log_dir, exist_ok=True)
run_ts = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
self._streaming_path = os.path.join(log_dir, f"samples_{run_ts}.jsonl")
self._streaming_file = open(self._streaming_path, "w")
self._streaming_lock = threading.Lock()
print(f"\nYC-Bench eval matrix: {len(self.all_eval_items)} runs")
for item in self.all_eval_items:
print(f" preset={item['preset']!r} seed={item['seed']}")
print(f"Streaming results to: {self._streaming_path}\n")
def _save_result(self, result: Dict[str, Any]):
"""Write a single run result to the streaming JSONL file immediately."""
if not hasattr(self, "_streaming_file") or self._streaming_file.closed:
return
with self._streaming_lock:
self._streaming_file.write(
json.dumps(result, ensure_ascii=False, default=str) + "\n"
)
self._streaming_file.flush()
# =========================================================================
# Training pipeline stubs (eval-only -- not used)
# =========================================================================
async def get_next_item(self):
item = self.all_eval_items[self.iter % len(self.all_eval_items)]
self.iter += 1
return item
def format_prompt(self, item: Dict[str, Any]) -> str:
preset = item["preset"]
seed = item["seed"]
return (
f"A new YC-Bench simulation has been initialized "
f"(preset='{preset}', seed={seed}).\n"
f"Your company '{self.config.company_name}' is ready.\n\n"
"Begin by calling:\n"
"1. `yc-bench company status` -- see your starting funds and prestige\n"
"2. `yc-bench employee list` -- see your team and their skills\n"
"3. `yc-bench market browse --required-prestige-lte 1` -- find tasks "
"you can take\n\n"
"Then accept 2-3 tasks, assign employees, dispatch them, and call "
"`yc-bench sim resume` to advance time. Repeat this loop until the "
"simulation ends (horizon reached or bankruptcy)."
)
async def compute_reward(self, item, result, ctx) -> float:
return 0.0
async def collect_trajectories(self, item):
return None, []
async def score(self, rollout_group_data):
return None
# =========================================================================
# Per-run evaluation
# =========================================================================
async def rollout_and_score_eval(self, eval_item: Dict[str, Any]) -> Dict:
"""
Evaluate a single (preset, seed) run.
1. Sets DATABASE_URL and YC_BENCH_EXPERIMENT env vars
2. Initialises the simulation via ``yc-bench sim init`` (NOT ``run``)
3. Runs HermesAgentLoop with terminal tool
4. Reads SQLite DB to compute final score
5. Returns result dict with survival, funds, and composite score
"""
preset = eval_item["preset"]
seed = eval_item["seed"]
run_id = str(uuid.uuid4())[:8]
run_key = f"{preset}_seed{seed}_{run_id}"
from tqdm import tqdm
tqdm.write(f" [START] preset={preset!r} seed={seed} (run_id={run_id})")
run_start = time.time()
# Isolated DB per run -- prevents cross-run state leakage
db_path = os.path.join(self.config.db_dir, f"yc_bench_{run_key}.db")
os.environ["DATABASE_URL"] = f"sqlite:///{db_path}"
os.environ["YC_BENCH_EXPERIMENT"] = preset
# Determine horizon: explicit config override > preset lookup > default 1
horizon = self.config.horizon_years or _PRESET_HORIZONS.get(preset, 1)
try:
# ----------------------------------------------------------
# Step 1: Initialise the simulation via CLI
# IMPORTANT: We use `sim init`, NOT `yc-bench run`.
# `yc-bench run` starts yc-bench's own LLM agent loop (via
# LiteLLM), which would compete with our HermesAgentLoop.
# `sim init` just sets up the world and returns.
# ----------------------------------------------------------
init_cmd = [
"yc-bench", "sim", "init",
"--seed", str(seed),
"--start-date", self.config.start_date,
"--company-name", self.config.company_name,
"--horizon-years", str(horizon),
]
init_result = subprocess.run(
init_cmd, capture_output=True, text=True, timeout=30,
)
if init_result.returncode != 0:
error_msg = (init_result.stderr or init_result.stdout).strip()
raise RuntimeError(f"yc-bench sim init failed: {error_msg}")
tqdm.write(f" Simulation initialized (horizon={horizon}yr)")
# ----------------------------------------------------------
# Step 2: Run the HermesAgentLoop
# ----------------------------------------------------------
tools, valid_names = self._resolve_tools_for_group()
messages: List[Dict[str, Any]] = [
{"role": "system", "content": YC_BENCH_SYSTEM_PROMPT},
{"role": "user", "content": self.format_prompt(eval_item)},
]
agent = HermesAgentLoop(
server=self.server,
tool_schemas=tools,
valid_tool_names=valid_names,
max_turns=self.config.max_agent_turns,
task_id=run_id,
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)
# ----------------------------------------------------------
# Step 3: Read final score from the simulation DB
# ----------------------------------------------------------
score_data = _read_final_score(db_path)
final_funds = score_data["final_funds_cents"]
survived = score_data["survived"]
terminal_reason = score_data["terminal_reason"]
composite = _compute_composite_score(
final_funds_cents=final_funds,
survived=survived,
survival_weight=self.config.survival_weight,
funds_weight=self.config.funds_weight,
)
elapsed = time.time() - run_start
status = "SURVIVED" if survived else "BANKRUPT"
if final_funds >= 0:
funds_str = f"${final_funds / 100:,.0f}"
else:
funds_str = f"-${abs(final_funds) / 100:,.0f}"
tqdm.write(
f" [{status}] preset={preset!r} seed={seed} "
f"funds={funds_str} score={composite:.3f} "
f"turns={result.turns_used} ({elapsed:.0f}s)"
)
out = {
"preset": preset,
"seed": seed,
"survived": survived,
"final_funds_cents": final_funds,
"final_funds_usd": final_funds / 100,
"terminal_reason": terminal_reason,
"composite_score": composite,
"turns_used": result.turns_used,
"finished_naturally": result.finished_naturally,
"elapsed_seconds": elapsed,
"db_path": db_path,
"messages": result.messages,
}
self._save_result(out)
return out
except Exception as e:
elapsed = time.time() - run_start
logger.error("Run %s failed: %s", run_key, e, exc_info=True)
tqdm.write(
f" [ERROR] preset={preset!r} seed={seed}: {e} ({elapsed:.0f}s)"
)
out = {
"preset": preset,
"seed": seed,
"survived": False,
"final_funds_cents": 0,
"final_funds_usd": 0.0,
"terminal_reason": f"error: {e}",
"composite_score": 0.0,
"turns_used": 0,
"error": str(e),
"elapsed_seconds": elapsed,
}
self._save_result(out)
return out
# =========================================================================
# Evaluate
# =========================================================================
async def _run_with_timeout(self, item: Dict[str, Any]) -> Dict:
"""Wrap a single rollout with a wall-clock timeout."""
preset = item["preset"]
seed = item["seed"]
try:
return await asyncio.wait_for(
self.rollout_and_score_eval(item),
timeout=self.config.run_timeout,
)
except asyncio.TimeoutError:
from tqdm import tqdm
tqdm.write(
f" [TIMEOUT] preset={preset!r} seed={seed} "
f"(exceeded {self.config.run_timeout}s)"
)
out = {
"preset": preset,
"seed": seed,
"survived": False,
"final_funds_cents": 0,
"final_funds_usd": 0.0,
"terminal_reason": f"timeout ({self.config.run_timeout}s)",
"composite_score": 0.0,
"turns_used": 0,
"error": "timeout",
}
self._save_result(out)
return out
async def evaluate(self, *args, **kwargs) -> None:
"""
Run YC-Bench evaluation over all (preset, seed) combinations.
Runs sequentially -- each run is 100-500 turns, parallelising would
be prohibitively expensive and cause env var conflicts.
"""
start_time = time.time()
from tqdm import tqdm
# --- tqdm-compatible logging handler (TB2 pattern) ---
class _TqdmHandler(logging.Handler):
def emit(self, record):
try:
tqdm.write(self.format(record))
except Exception:
self.handleError(record)
root = logging.getLogger()
handler = _TqdmHandler()
handler.setFormatter(
logging.Formatter("%(levelname)s %(name)s: %(message)s")
)
root.handlers = [handler]
for noisy in ("httpx", "openai"):
logging.getLogger(noisy).setLevel(logging.WARNING)
# --- Print config summary ---
print(f"\n{'='*60}")
print("Starting YC-Bench Evaluation")
print(f"{'='*60}")
print(f" Presets: {self.config.presets}")
print(f" Seeds: {self.config.seeds}")
print(f" Total runs: {len(self.all_eval_items)}")
print(f" Max turns/run: {self.config.max_agent_turns}")
print(f" Run timeout: {self.config.run_timeout}s")
print(f"{'='*60}\n")
results = []
pbar = tqdm(
total=len(self.all_eval_items), desc="YC-Bench", dynamic_ncols=True
)
try:
for item in self.all_eval_items:
result = await self._run_with_timeout(item)
results.append(result)
survived_count = sum(1 for r in results if r.get("survived"))
pbar.set_postfix_str(
f"survived={survived_count}/{len(results)}"
)
pbar.update(1)
except (KeyboardInterrupt, asyncio.CancelledError):
tqdm.write("\n[INTERRUPTED] Stopping evaluation...")
pbar.close()
try:
from hermes_agent.tools.terminal import cleanup_all_environments
cleanup_all_environments()
except Exception:
pass
if hasattr(self, "_streaming_file") and not self._streaming_file.closed:
self._streaming_file.close()
return
pbar.close()
end_time = time.time()
# --- Compute metrics ---
valid = [r for r in results if r is not None]
if not valid:
print("Warning: No valid results.")
return
total = len(valid)
survived_total = sum(1 for r in valid if r.get("survived"))
survival_rate = survived_total / total if total else 0.0
avg_score = (
sum(r.get("composite_score", 0) for r in valid) / total
if total
else 0.0
)
preset_results: Dict[str, List[Dict]] = defaultdict(list)
for r in valid:
preset_results[r["preset"]].append(r)
eval_metrics = {
"eval/survival_rate": survival_rate,
"eval/avg_composite_score": avg_score,
"eval/total_runs": total,
"eval/survived_runs": survived_total,
"eval/evaluation_time_seconds": end_time - start_time,
}
for preset, items in sorted(preset_results.items()):
ps = sum(1 for r in items if r.get("survived"))
pt = len(items)
pa = (
sum(r.get("composite_score", 0) for r in items) / pt
if pt
else 0
)
key = preset.replace("-", "_")
eval_metrics[f"eval/survival_rate_{key}"] = ps / pt if pt else 0
eval_metrics[f"eval/avg_score_{key}"] = pa
self.eval_metrics = [(k, v) for k, v in eval_metrics.items()]
# --- Print summary ---
print(f"\n{'='*60}")
print("YC-Bench Evaluation Results")
print(f"{'='*60}")
print(
f"Overall survival rate: {survival_rate:.1%} "
f"({survived_total}/{total})"
)
print(f"Average composite score: {avg_score:.4f}")
print(f"Evaluation time: {end_time - start_time:.1f}s")
print("\nPer-preset breakdown:")
for preset, items in sorted(preset_results.items()):
ps = sum(1 for r in items if r.get("survived"))
pt = len(items)
pa = (
sum(r.get("composite_score", 0) for r in items) / pt
if pt
else 0
)
print(f" {preset}: {ps}/{pt} survived avg_score={pa:.4f}")
for r in items:
status = "SURVIVED" if r.get("survived") else "BANKRUPT"
funds = r.get("final_funds_usd", 0)
print(
f" seed={r['seed']} [{status}] "
f"${funds:,.0f} "
f"score={r.get('composite_score', 0):.3f}"
)
print(f"{'='*60}\n")
# --- Log results ---
samples = [
{k: v for k, v in r.items() if k != "messages"} for r in valid
]
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,
},
)
except Exception as e:
print(f"Error logging results: {e}")
# --- Cleanup (TB2 pattern) ---
if hasattr(self, "_streaming_file") and not self._streaming_file.closed:
self._streaming_file.close()
print(f"Results saved to: {self._streaming_path}")
try:
from hermes_agent.tools.terminal import cleanup_all_environments
cleanup_all_environments()
except Exception:
pass
try:
from environments.agent_loop import _tool_executor
_tool_executor.shutdown(wait=False, cancel_futures=True)
except Exception:
pass
# =========================================================================
# Wandb logging
# =========================================================================
async def wandb_log(self, wandb_metrics: Optional[Dict] = None):
"""Log YC-Bench-specific metrics to wandb."""
if wandb_metrics is None:
wandb_metrics = {}
for k, v in self.eval_metrics:
wandb_metrics[k] = v
self.eval_metrics = []
await super().wandb_log(wandb_metrics)
if __name__ == "__main__":
YCBenchEvalEnv.cli()

View File

@@ -1,714 +0,0 @@
"""
HermesAgentBaseEnv -- Abstract Base Environment for Hermes-Agent + Atropos
Provides the Atropos integration plumbing that all hermes-agent environments share:
- Two-mode operation (OpenAI server for Phase 1, VLLM ManagedServer for Phase 2)
- Per-group toolset/distribution resolution
- Agent loop orchestration via HermesAgentLoop
- ToolContext creation for reward functions
- ScoredDataGroup construction from ManagedServer state
Subclasses only need to implement:
setup() -- Load dataset, initialize state
get_next_item() -- Return the next item from the dataset
format_prompt() -- Convert a dataset item into the user message
compute_reward() -- Score the rollout (has full ToolContext access)
evaluate() -- Periodic evaluation
"""
import asyncio
import json
import logging
import os
import sys
import uuid
from abc import abstractmethod
from pathlib import Path
from typing import Any, Dict, List, Optional, Set, Tuple, Union
# Ensure the hermes-agent repo root is on sys.path so that imports like
# `from model_tools import ...` and `from environments.X import ...` work
# regardless of where the script is invoked from.
_repo_root = Path(__file__).resolve().parent.parent
if str(_repo_root) not in sys.path:
sys.path.insert(0, str(_repo_root))
from dotenv import load_dotenv
from pydantic import Field
# Load API keys from hermes-agent/.env so all environments can access them
_env_path = _repo_root / ".env"
if _env_path.exists():
load_dotenv(dotenv_path=_env_path)
# Apply monkey patches for async-safe tool operation inside Atropos's event loop.
# This patches SwerexModalEnvironment to use a background thread instead of
# asyncio.run(), which would deadlock inside Atropos. Safe for normal CLI too.
from environments.patches import apply_patches
apply_patches()
from atroposlib.envs.base import (
BaseEnv,
BaseEnvConfig,
ScoredDataGroup,
ScoredDataItem,
)
from atroposlib.envs.server_handling.server_manager import (
APIServerConfig,
ServerBaseline,
ServerManager,
)
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
logger = logging.getLogger(__name__)
class HermesAgentEnvConfig(BaseEnvConfig):
"""
Configuration for hermes-agent Atropos environments.
Extends BaseEnvConfig with agent-specific settings for toolsets,
terminal backend, dataset loading, and tool call parsing.
"""
# --- Toolset configuration ---
# Mutually exclusive: use either enabled_toolsets OR distribution
enabled_toolsets: Optional[List[str]] = Field(
default=None,
description="Explicit list of hermes toolsets to enable (e.g., ['terminal', 'file', 'web']). "
"If None and distribution is also None, all available toolsets are enabled.",
)
disabled_toolsets: Optional[List[str]] = Field(
default=None,
description="Toolsets to disable. Applied as a filter on top of enabled_toolsets or distribution.",
)
distribution: Optional[str] = Field(
default=None,
description="Name of a toolset distribution from toolset_distributions.py "
"(e.g., 'development', 'terminal_tasks'). Sampled once per group. "
"Mutually exclusive with enabled_toolsets.",
)
# --- Agent loop configuration ---
max_agent_turns: int = Field(
default=30,
description="Maximum number of LLM calls (tool-calling iterations) per rollout.",
)
system_prompt: Optional[str] = Field(
default=None,
description="System prompt for the agent. Tools are handled via the tools= parameter, "
"not embedded in the prompt text.",
)
agent_temperature: float = Field(
default=1.0,
description="Sampling temperature for agent generation during rollouts.",
)
# --- Terminal backend ---
terminal_backend: str = Field(
default="local",
description="Terminal backend: 'local', 'docker', 'modal', 'daytona', 'ssh', 'singularity'. "
"Modal or Daytona recommended for production RL (cloud isolation per rollout).",
)
terminal_timeout: int = Field(
default=120,
description="Per-command timeout in seconds for terminal tool calls. "
"Commands exceeding this are killed. Increase for tasks with long-running "
"commands (compilation, pip install, etc.).",
)
terminal_lifetime: int = Field(
default=3600,
description="Sandbox inactivity lifetime in seconds. The cleanup thread kills "
"sandboxes that have been idle longer than this. Must be longer than "
"the longest gap between tool calls (e.g., waiting for LLM response).",
)
# --- Dataset ---
dataset_name: Optional[str] = Field(
default=None,
description="HuggingFace dataset name. Optional if tasks are defined inline.",
)
dataset_split: str = Field(
default="train",
description="Dataset split to use.",
)
prompt_field: str = Field(
default="prompt",
description="Which field in the dataset contains the prompt.",
)
# --- Thread pool ---
tool_pool_size: int = Field(
default=128,
description="Thread pool size for tool execution. Each concurrent task needs a "
"thread for tool calls. Must be large enough for parallel evaluation. "
"Too small = thread pool starvation.",
)
# --- Phase 2: Tool call parsing ---
tool_call_parser: str = Field(
default="hermes",
description="Tool call parser name for Phase 2 (VLLM server type). "
"Ignored in Phase 1 (OpenAI server type where VLLM parses natively). "
"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.
# Example YAML:
# extra_body:
# provider:
# ignore: ["DeepInfra", "Fireworks"]
# order: ["Together"]
# transforms: ["middle-out"]
extra_body: Optional[Dict[str, Any]] = Field(
default=None,
description="Extra body parameters passed to the OpenAI client's "
"chat.completions.create(). Used for OpenRouter provider preferences, "
"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):
"""
Abstract base environment for hermes-agent Atropos integration.
Handles two modes of operation:
- Phase 1 (OpenAI server type): Uses server.chat_completion() directly.
The server (VLLM, SGLang, OpenRouter, OpenAI) handles tool call parsing
and reasoning extraction natively. DummyManagedServer provides placeholder
tokens. Good for SFT data gen, verifier testing, evaluation.
- Phase 2 (VLLM server type): Uses ManagedServer for exact token IDs + logprobs
via /generate. Client-side tool call parser reconstructs structured tool_calls
from raw output. Full RL training capability.
Subclasses must implement:
setup() -- Load dataset, initialize state
get_next_item() -- Return the next item to roll out
format_prompt() -- Convert a dataset item into the user message string
compute_reward() -- Score the rollout using ToolContext
evaluate() -- Periodic evaluation
"""
name: Optional[str] = "hermes-agent"
env_config_cls = HermesAgentEnvConfig
def __init__(
self,
config: HermesAgentEnvConfig,
server_configs: Union[ServerBaseline, List[APIServerConfig]],
slurm=False,
testing=False,
):
super().__init__(config, server_configs, slurm, testing)
# Set terminal environment variables so hermes tools pick them up.
# These can all be overridden per-environment via config fields instead
# of requiring users to set shell env vars.
if config.terminal_backend:
os.environ["TERMINAL_ENV"] = config.terminal_backend
os.environ["TERMINAL_TIMEOUT"] = str(config.terminal_timeout)
os.environ["TERMINAL_LIFETIME_SECONDS"] = str(config.terminal_lifetime)
print(
f"🖥️ Terminal: backend={config.terminal_backend}, "
f"timeout={config.terminal_timeout}s, lifetime={config.terminal_lifetime}s"
)
# Resize the agent loop's thread pool for tool execution.
# This must be large enough for the number of concurrent tasks
# (e.g., 89 parallel TB2 eval tasks each need a thread for tool calls).
from environments.agent_loop import resize_tool_pool
resize_tool_pool(config.tool_pool_size)
# Set tool_parser on the ServerManager so ManagedServer uses it
# for bidirectional tool call translation (raw text ↔ OpenAI tool_calls).
if hasattr(self.server, 'tool_parser'):
self.server.tool_parser = config.tool_call_parser
print(f"🔧 Tool parser: {config.tool_call_parser}")
# Current group's resolved tools (set in collect_trajectories)
self._current_group_tools: Optional[Tuple[List[Dict], Set[str]]] = None
# Tool error tracking for wandb logging
self._tool_error_buffer: List[Dict[str, Any]] = []
# =========================================================================
# Toolset resolution (per-group)
# =========================================================================
def _resolve_tools_for_group(self) -> Tuple[List[Dict[str, Any]], Set[str]]:
"""
Resolve toolsets for a group. Called once in collect_trajectories(),
then shared by all collect_trajectory() calls in the group.
If distribution is set, samples probabilistically.
If enabled_toolsets is set, uses that explicit list.
disabled_toolsets is applied as a filter on top.
Returns:
(tool_schemas, valid_tool_names) tuple
"""
config = self.config
if config.distribution:
group_toolsets = sample_toolsets_from_distribution(config.distribution)
logger.info("Sampled toolsets from '%s': %s", config.distribution, group_toolsets)
else:
group_toolsets = config.enabled_toolsets # None means "all available"
if group_toolsets is None:
logger.warning(
"enabled_toolsets is None -- loading ALL tools including messaging. "
"Set explicit enabled_toolsets for RL training."
)
tools = get_tool_definitions(
enabled_toolsets=group_toolsets,
disabled_toolsets=config.disabled_toolsets,
quiet_mode=True,
)
valid_names = {t["function"]["name"] for t in tools} if tools else set()
logger.info("Resolved %d tools for group: %s", len(valid_names), sorted(valid_names))
return tools, valid_names
# =========================================================================
# Server mode detection
# =========================================================================
def _use_managed_server(self) -> bool:
"""
Determine if we should use ManagedServer (Phase 2) or direct server (Phase 1).
Phase 2 (ManagedServer) is used when the server type is 'vllm' or 'sglang',
which go through the /generate endpoint for exact token tracking.
Phase 1 (direct server) is used for 'openai' server type, which uses
/v1/chat/completions with native tool call parsing.
"""
if not self.server.servers:
return False
server = self.server.servers[0]
# If the server is an OpenAI server (not VLLM/SGLang), use direct mode
from atroposlib.envs.server_handling.openai_server import OpenAIServer
return not isinstance(server, OpenAIServer)
# =========================================================================
# Core Atropos integration
# =========================================================================
async def collect_trajectories(
self, item: Item
) -> Tuple[
Union[Optional[ScoredDataGroup], List[Optional[ScoredDataGroup]]],
List[Item],
]:
"""
Override collect_trajectories to resolve toolsets once per group,
then delegate to the standard group-level collection.
The default BaseEnv.collect_trajectories() calls collect_trajectory()
group_size times in parallel. We resolve tools once here and store
them for all those calls to use.
"""
# Resolve toolsets for this group (shared by all rollouts in the group)
self._current_group_tools = self._resolve_tools_for_group()
# Delegate to the default implementation which calls collect_trajectory()
# group_size times via asyncio.gather
return await super().collect_trajectories(item)
# =========================================================================
# Wandb rollout display -- format trajectories nicely
# =========================================================================
@staticmethod
def _format_trajectory_for_display(messages: List[Dict[str, Any]]) -> str:
"""
Format a conversation's messages into a readable trajectory string
for wandb rollout tables. Shows tool calls, tool results, and reasoning
in a structured way instead of raw token decoding.
"""
parts = []
for msg in messages:
role = msg.get("role", "unknown")
content = msg.get("content", "")
if role == "system":
parts.append(f"[SYSTEM]\n{content}")
elif role == "user":
parts.append(f"[USER]\n{content}")
elif role == "assistant":
# Show reasoning if present
reasoning = msg.get("reasoning_content", "")
if reasoning:
# Truncate long reasoning for display
if len(reasoning) > 300:
reasoning = reasoning[:300] + "..."
parts.append(f"[ASSISTANT thinking]\n{reasoning}")
# Show content
if content:
parts.append(f"[ASSISTANT]\n{content}")
# Show tool calls
tool_calls = msg.get("tool_calls", [])
for tc in tool_calls:
func = tc.get("function", {})
name = func.get("name", "?")
args = func.get("arguments", "{}")
# Truncate long arguments for display
if len(args) > 200:
args = args[:200] + "..."
parts.append(f"[TOOL CALL] {name}({args})")
elif role == "tool":
tool_id = msg.get("tool_call_id", "")
result = content
# Truncate long tool results for display
if len(result) > 500:
result = result[:500] + "..."
parts.append(f"[TOOL RESULT] {result}")
return "\n\n".join(parts)
async def add_rollouts_for_wandb(
self,
scored_data,
item=None,
):
"""
Override to show formatted trajectories with tool calls visible,
instead of raw token decoding which loses all structure.
"""
num_keep = self.config.num_rollouts_per_group_for_logging
if num_keep == -1:
num_keep = self.config.group_size
group = []
for i in range(min(num_keep, len(scored_data.get("scores", [])))):
score = scored_data["scores"][i]
# Use messages if available for rich display
messages = None
if scored_data.get("messages") and i < len(scored_data["messages"]):
messages = scored_data["messages"][i]
if messages:
text = self._format_trajectory_for_display(messages)
elif scored_data.get("tokens") and i < len(scored_data["tokens"]):
text = self.tokenizer.decode(scored_data["tokens"][i])
else:
text = "(no data)"
group.append((text, score))
self.rollouts_for_wandb.append(group)
if len(self.rollouts_for_wandb) > self.config.num_rollouts_to_keep:
self.rollouts_for_wandb.pop(0)
async def wandb_log(self, wandb_metrics: Optional[Dict] = None):
"""Log base metrics including tool errors to wandb."""
if wandb_metrics is None:
wandb_metrics = {}
# Log tool error stats
if self._tool_error_buffer:
wandb_metrics["train/tool_errors_count"] = len(self._tool_error_buffer)
# Log error details as a summary string (tables can crash wandb on tmp cleanup)
error_summaries = []
for err in self._tool_error_buffer:
error_summaries.append(
f"[turn {err['turn']}] {err['tool']}({err['args'][:80]}) -> {err['error'][:150]}"
)
wandb_metrics["train/tool_error_details"] = "\n".join(error_summaries)
# Also print to stdout for immediate visibility
for summary in error_summaries:
print(f" Tool Error: {summary}")
self._tool_error_buffer = []
else:
wandb_metrics["train/tool_errors_count"] = 0
await super().wandb_log(wandb_metrics)
async def collect_trajectory(
self, item: Item
) -> Tuple[Optional[Union[ScoredDataItem, Any]], List[Item]]:
"""
Run a single rollout: agent loop + reward computation.
This is called group_size times in parallel by collect_trajectories().
Each call gets its own task_id for terminal/browser session isolation.
"""
task_id = str(uuid.uuid4())
# Get group-level tools (resolved once in collect_trajectories)
if self._current_group_tools is None:
# Fallback: resolve per-trajectory if called outside collect_trajectories
tools, valid_names = self._resolve_tools_for_group()
else:
tools, valid_names = self._current_group_tools
# Build initial messages
messages: List[Dict[str, Any]] = []
if self.config.system_prompt:
messages.append({"role": "system", "content": self.config.system_prompt})
messages.append({"role": "user", "content": self.format_prompt(item)})
# Run the agent loop
result: AgentResult
if self._use_managed_server():
# Phase 2: ManagedServer with ToolCallTranslator -- exact tokens + logprobs
# tool_parser is set on ServerManager in __init__ and passed through
# to ManagedServer, which uses ToolCallTranslator for bidirectional
# translation between raw text and OpenAI tool_calls.
try:
async with self.server.managed_server(
tokenizer=self.tokenizer,
preserve_think_blocks=bool(self.config.thinking_mode),
) as managed:
agent = HermesAgentLoop(
server=managed,
tool_schemas=tools,
valid_tool_names=valid_names,
max_turns=self.config.max_agent_turns,
task_id=task_id,
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:
# DummyManagedServer not allowed -- fall back to Phase 1
logger.warning(
"ManagedServer not available (OpenAI server?). "
"Falling back to direct server mode."
)
agent = HermesAgentLoop(
server=self.server,
tool_schemas=tools,
valid_tool_names=valid_names,
max_turns=self.config.max_agent_turns,
task_id=task_id,
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:
# Phase 1: OpenAI server -- native tool_calls, placeholder tokens
agent = HermesAgentLoop(
server=self.server,
tool_schemas=tools,
valid_tool_names=valid_names,
max_turns=self.config.max_agent_turns,
task_id=task_id,
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)
# Skip reward computation if the agent loop produced no meaningful work
# (e.g., API call failed on turn 1). No point spinning up a Modal sandbox
# just to verify files that were never created.
only_system_and_user = all(
msg.get("role") in ("system", "user") for msg in result.messages
)
if result.turns_used == 0 or only_system_and_user:
logger.warning(
"Agent loop produced no output (turns=%d, msgs=%d). Skipping reward.",
result.turns_used, len(result.messages),
)
reward = 0.0
else:
# Compute reward using ToolContext (gives verifier full tool access)
ctx = ToolContext(task_id)
try:
reward = await self.compute_reward(item, result, ctx)
except Exception as e:
logger.error("compute_reward failed: %s", e)
reward = 0.0
finally:
ctx.cleanup()
# Track tool errors for wandb logging
if result.tool_errors:
for err in result.tool_errors:
self._tool_error_buffer.append({
"turn": err.turn,
"tool": err.tool_name,
"args": err.arguments[:150],
"error": err.error[:300],
"result": err.tool_result[:300],
})
# Build ScoredDataItem from ManagedServer state
# Phase 2: real tokens/masks/logprobs from SequenceNodes
# Phase 1: placeholder tokens (still need a valid ScoredDataItem for the pipeline)
nodes = (result.managed_state or {}).get("nodes", [])
if nodes:
# Phase 2 (or DummyManagedServer): use actual node data
node = nodes[-1] # Final sequence node = full trajectory
scored_item: Dict[str, Any] = {
"tokens": node.tokens,
"masks": node.masked_tokens,
"scores": reward,
}
# Include logprobs if available (Phase 2)
if hasattr(node, "logprobs") and node.logprobs:
scored_item["advantages"] = None # Computed by trainer
scored_item["ref_logprobs"] = None
else:
# Phase 1 with no managed state: create placeholder tokens
# so the data pipeline doesn't break. These are NOT suitable
# for training but allow process mode (SFT data gen) to work.
# Tokenize the full conversation to get approximate tokens.
full_text = "\n".join(
msg.get("content", "") for msg in result.messages if msg.get("content")
)
if self.tokenizer:
tokens = self.tokenizer.encode(full_text, add_special_tokens=True)
else:
tokens = list(range(min(len(full_text) // 4, 128)))
scored_item = {
"tokens": tokens,
"masks": [-100] + tokens[1:], # Mask first token as prompt
"scores": reward,
}
# Always include messages for wandb rollout display and data logging
scored_item["messages"] = result.messages
return scored_item, []
# =========================================================================
# Abstract methods -- subclasses must implement
# =========================================================================
@abstractmethod
async def setup(self):
"""
Load dataset, initialize state.
Called once when the environment starts. Typical implementation:
self.dataset = load_dataset(self.config.dataset_name, split=self.config.dataset_split)
self.iter = 0
"""
raise NotImplementedError
@abstractmethod
async def get_next_item(self) -> Item:
"""
Return the next item from the dataset for rollout.
Called by the base env's main loop to get items for workers.
Should cycle through the dataset.
"""
raise NotImplementedError
@abstractmethod
def format_prompt(self, item: Item) -> str:
"""
Convert a dataset item into the user message for the agent.
Args:
item: Dataset item (dict, tuple, etc.)
Returns:
The prompt string to send to the agent
"""
raise NotImplementedError
@abstractmethod
async def compute_reward(
self, item: Item, result: AgentResult, ctx: ToolContext
) -> float:
"""
Score the rollout. Has full access to:
- item: the original dataset item (ground truth, test commands, etc.)
- result: AgentResult with full messages, turn count, reasoning, etc.
- ctx: ToolContext -- call ANY hermes-agent tool (terminal, file, web,
browser, vision...) scoped to this rollout's sandbox. Nothing
is off-limits.
Args:
item: The dataset item that was rolled out
result: The agent's rollout result
ctx: ToolContext with full tool access for verification
Returns:
Reward float (typically 0.0 to 1.0, but any float is valid)
"""
raise NotImplementedError
@abstractmethod
async def evaluate(self, *args, **kwargs):
"""
Periodic evaluation. Called every steps_per_eval steps.
Typical implementation runs the agent on a held-out eval set
and logs metrics via wandb/evaluate_log.
"""
raise NotImplementedError

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@@ -1,34 +0,0 @@
# SWE Environment -- Default Configuration
#
# SWE-bench style tasks with Modal sandboxes for cloud isolation.
# Uses terminal + file + web toolsets.
#
# Usage:
# python environments/hermes_swe_env/hermes_swe_env.py serve \
# --config environments/hermes_swe_env/default.yaml
env:
enabled_toolsets: ["terminal", "file", "web"]
max_agent_turns: 30
max_token_length: 4096
group_size: 4
terminal_backend: "modal"
tool_call_parser: "hermes"
tokenizer_name: "NousResearch/DeepHermes-3-Llama-3-3B-Preview"
dataset_name: "bigcode/humanevalpack"
dataset_split: "test"
prompt_field: "prompt"
steps_per_eval: 50
total_steps: 500
use_wandb: true
wandb_name: "hermes-swe"
system_prompt: >
You are a skilled software engineer. You have access to a terminal,
file tools, and web search. Use these tools to complete the coding task.
Write clean, working code and verify it runs correctly before finishing.
openai:
base_url: "http://localhost:8000/v1"
model_name: "NousResearch/DeepHermes-3-Llama-3-3B-Preview"
server_type: "openai"
api_key: ""

View File

@@ -1,229 +0,0 @@
"""
HermesSweEnv -- SWE-Bench Style Environment with Modal Sandboxes
A concrete environment for software engineering tasks where the model writes code
and the reward function runs tests to verify correctness. Uses Modal terminal
backend for cloud-isolated sandboxes per rollout.
The reward function uses ToolContext.terminal() to run test commands in the same
Modal sandbox the model used during its agentic loop. All filesystem state from
the model's tool calls is preserved for verification.
Usage:
# Phase 1: OpenAI server type
vllm serve YourModel --tool-parser hermes
run-api
python environments/hermes_swe_env.py serve \\
--openai.base_url http://localhost:8000/v1 \\
--openai.model_name YourModel \\
--openai.server_type openai \\
--env.dataset_name bigcode/humanevalpack \\
--env.terminal_backend modal
# Phase 2: VLLM server type (full RL training)
python environments/hermes_swe_env.py serve \\
--openai.base_url http://localhost:8000/v1 \\
--openai.model_name YourModel \\
--openai.server_type vllm \\
--env.tool_call_parser hermes \\
--env.terminal_backend modal
"""
import logging
import sys
import time
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union
# Ensure repo root is on sys.path for imports
_repo_root = Path(__file__).resolve().parent.parent.parent
if str(_repo_root) not in sys.path:
sys.path.insert(0, str(_repo_root))
from datasets import load_dataset
from atroposlib.envs.base import ScoredDataGroup
from atroposlib.envs.server_handling.server_manager import APIServerConfig
from atroposlib.type_definitions import Item
from environments.agent_loop import AgentResult
from environments.hermes_base_env import HermesAgentBaseEnv, HermesAgentEnvConfig
from environments.tool_context import ToolContext
logger = logging.getLogger(__name__)
class HermesSweEnvConfig(HermesAgentEnvConfig):
"""Config with defaults for SWE-bench style tasks."""
pass # Inherits all fields, overrides defaults in config_init
class HermesSweEnv(HermesAgentBaseEnv):
"""
SWE-bench style environment using Modal terminal backend.
The model gets a coding task, uses terminal + file + web tools to solve it,
and the reward function runs tests in the same Modal sandbox to verify.
Subclass this for specific SWE datasets (HumanEval, SWE-bench, etc.)
and customize format_prompt() and compute_reward() as needed.
"""
name = "hermes-swe"
env_config_cls = HermesSweEnvConfig
@classmethod
def config_init(cls) -> Tuple[HermesSweEnvConfig, List[APIServerConfig]]:
"""
Default configuration for the SWE environment.
Uses Modal terminal backend for cloud isolation and terminal + file + web toolsets.
"""
env_config = HermesSweEnvConfig(
# Toolsets: terminal for running code, file for reading/writing, web for docs
enabled_toolsets=["terminal", "file", "web"],
disabled_toolsets=None,
distribution=None,
# Agent settings -- SWE tasks need more turns
max_agent_turns=30,
max_token_length=4096,
agent_temperature=1.0,
system_prompt=(
"You are a skilled software engineer. You have access to a terminal, "
"file tools, and web search. Use these tools to complete the coding task. "
"Write clean, working code and verify it runs correctly before finishing."
),
# Modal backend for cloud-isolated sandboxes
terminal_backend="modal",
# Dataset -- override via CLI for your specific SWE dataset
dataset_name="bigcode/humanevalpack",
dataset_split="test",
prompt_field="prompt",
# Atropos settings
group_size=4,
tokenizer_name="NousResearch/DeepHermes-3-Llama-3-3B-Preview",
tool_call_parser="hermes",
steps_per_eval=50,
total_steps=500,
use_wandb=True,
wandb_name="hermes-swe",
)
server_configs = [
APIServerConfig(
base_url="http://localhost:8000/v1",
model_name="NousResearch/DeepHermes-3-Llama-3-3B-Preview",
server_type="openai", # Phase 1; switch to "vllm" for Phase 2
api_key="",
)
]
return env_config, server_configs
async def setup(self):
"""Load the SWE dataset."""
if self.config.dataset_name:
self.dataset = load_dataset(
self.config.dataset_name, split=self.config.dataset_split
)
else:
# Placeholder if no dataset specified
self.dataset = []
self.iter = 0
self.reward_buffer: List[float] = []
async def get_next_item(self) -> Dict[str, Any]:
"""Cycle through the SWE dataset."""
if not self.dataset:
raise ValueError("No dataset loaded. Set dataset_name in config.")
item = self.dataset[self.iter % len(self.dataset)]
self.iter += 1
return item
def format_prompt(self, item: Dict[str, Any]) -> str:
"""
Format the SWE task prompt.
Override this in subclasses for different dataset formats.
Default assumes the dataset has a 'prompt' field and optionally a 'test' field.
"""
prompt = item.get(self.config.prompt_field, "")
# If the dataset has test information, include it in the prompt
test_info = item.get("test", item.get("test_code", item.get("tests", "")))
if test_info:
prompt += f"\n\nTests to pass:\n{test_info}"
return prompt
async def compute_reward(
self, item: Dict[str, Any], result: AgentResult, ctx: ToolContext
) -> float:
"""
Score by running tests in the model's Modal sandbox.
Default implementation:
- If the dataset item has a 'test' or 'test_code' field, run it
- Check exit code: 0 = pass, non-zero = fail
- Partial credit for file creation
Override this in subclasses for more sophisticated reward logic.
"""
# Find the test command from the dataset item
test_code = item.get("test", item.get("test_code", item.get("tests", "")))
if test_code:
# Run the test in the model's sandbox
test_result = ctx.terminal(
f'cd /workspace && python3 -c "{test_code}"', timeout=60
)
if test_result["exit_code"] == 0:
self.reward_buffer.append(1.0)
return 1.0
# Partial credit: check if the model created any Python files
file_check = ctx.terminal("find /workspace -name '*.py' -newer /tmp/.start_marker 2>/dev/null | head -5")
if file_check["exit_code"] == 0 and file_check.get("output", "").strip():
self.reward_buffer.append(0.1)
return 0.1
self.reward_buffer.append(0.0)
return 0.0
async def evaluate(self, *args, **kwargs):
"""
Run evaluation on a held-out set.
Override for dataset-specific evaluation logic.
"""
start_time = time.time()
end_time = time.time()
eval_metrics = {"eval/placeholder": 0.0}
await self.evaluate_log(
metrics=eval_metrics,
start_time=start_time,
end_time=end_time,
)
async def wandb_log(self, wandb_metrics: Optional[Dict] = None):
"""Log SWE-specific metrics."""
if wandb_metrics is None:
wandb_metrics = {}
if self.reward_buffer:
wandb_metrics["train/avg_reward"] = sum(self.reward_buffer) / len(
self.reward_buffer
)
wandb_metrics["train/pass_rate"] = sum(
1 for r in self.reward_buffer if r == 1.0
) / len(self.reward_buffer)
self.reward_buffer = []
await super().wandb_log(wandb_metrics)
if __name__ == "__main__":
HermesSweEnv.cli()

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@@ -1,35 +0,0 @@
"""
Monkey patches for making hermes-agent tools work inside async frameworks (Atropos).
Problem:
Some tools use asyncio.run() internally (e.g., Modal backend via SWE-ReX,
web_extract). This crashes when called from inside Atropos's event loop because
asyncio.run() can't be nested.
Solution:
The Modal environment (tools/environments/modal.py) now uses a dedicated
_AsyncWorker thread internally, making it safe for both CLI and Atropos use.
No monkey-patching is required.
This module is kept for backward compatibility. apply_patches() is 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.
"""
import logging
logger = logging.getLogger(__name__)
_patches_applied = False
def apply_patches():
"""Apply all monkey patches needed for Atropos compatibility."""
global _patches_applied
if _patches_applied:
return
logger.debug("apply_patches() called; no patches needed (async safety is built-in)")
_patches_applied = True

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@@ -1,34 +0,0 @@
# Terminal Test Environment -- Default Configuration
#
# Simple file-creation tasks for validating the full Atropos + hermes-agent stack.
# Uses Modal terminal backend and OpenRouter (Claude) for inference.
# API keys loaded from ~/hermes-agent/.env
#
# Usage:
# run-api
# python environments/terminal_test_env/terminal_test_env.py serve \
# --config environments/terminal_test_env/default.yaml
env:
enabled_toolsets: ["terminal", "file"]
max_agent_turns: 10
max_token_length: 2048
group_size: 3
total_steps: 3
steps_per_eval: 3
terminal_backend: "modal"
tool_call_parser: "hermes"
tokenizer_name: "NousResearch/DeepHermes-3-Llama-3-3B-Preview"
ensure_scores_are_not_same: false
use_wandb: false
system_prompt: >
You are a helpful assistant with access to a terminal and file tools.
Complete the user's request by using the available tools.
Be precise and follow instructions exactly.
openai:
base_url: "https://openrouter.ai/api/v1"
model_name: "anthropic/claude-opus-4.6"
server_type: "openai"
health_check: false
# api_key loaded from OPENROUTER_API_KEY in .env

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@@ -1,292 +0,0 @@
"""
TerminalTestEnv -- Simple Test Environment for Validating the Stack
A self-contained environment with inline tasks (no external dataset needed).
Each task asks the model to create a file at a known path with specific content.
The reward verifier cats the file and checks if the content matches.
Enables only terminal + file toolsets. Uses Modal terminal backend with
OpenRouter (Claude) by default.
Training tasks (3):
1. Create ~/greeting.txt with "Hello from Hermes Agent"
2. Create ~/count.txt with numbers 1-5, one per line
3. Create ~/answer.txt with the result of 123 + 456
Eval task (1):
1. Create ~/result.txt with the result of 6 * 7
Usage:
# Start Atropos API server
run-api
# Run environment (uses OpenRouter + Modal by default)
python environments/terminal_test_env.py serve
# Process mode (no run-api needed, saves to JSONL)
python environments/terminal_test_env.py process \\
--env.data_path_to_save_groups terminal_test_output.jsonl
"""
import logging
import os
import sys
import time
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union
# Ensure repo root is on sys.path for imports
_repo_root = Path(__file__).resolve().parent.parent.parent
if str(_repo_root) not in sys.path:
sys.path.insert(0, str(_repo_root))
from atroposlib.envs.base import ScoredDataGroup
from atroposlib.envs.server_handling.server_manager import APIServerConfig
from atroposlib.type_definitions import Item
from environments.agent_loop import AgentResult
from environments.hermes_base_env import HermesAgentBaseEnv, HermesAgentEnvConfig
from environments.tool_context import ToolContext
logger = logging.getLogger(__name__)
# =============================================================================
# Inline task definitions -- no external dataset needed
# =============================================================================
TRAIN_TASKS = [
{
"prompt": "Create a file at ~/greeting.txt containing exactly the text: Hello from Hermes Agent",
"verify_path": "~/greeting.txt",
"expected_content": "Hello from Hermes Agent",
},
{
"prompt": "Create a file at ~/count.txt containing the numbers 1 through 5, one per line",
"verify_path": "~/count.txt",
"expected_content": "1\n2\n3\n4\n5",
},
{
"prompt": "Create a file at ~/answer.txt containing the result of 123 + 456",
"verify_path": "~/answer.txt",
"expected_content": "579",
},
]
EVAL_TASKS = [
{
"prompt": "Create a file at ~/result.txt containing the result of 6 * 7",
"verify_path": "~/result.txt",
"expected_content": "42",
},
]
class TerminalTestEnvConfig(HermesAgentEnvConfig):
"""Config with defaults suitable for terminal testing."""
pass # Inherits all fields, overrides defaults in config_init
class TerminalTestEnv(HermesAgentBaseEnv):
"""
Simple test environment with inline file-creation tasks.
All tasks follow the same pattern: "create a file at ~/X.txt with content Y".
The verifier runs `cat ~/X.txt` in the rollout's terminal and checks the output
against the expected string. Same verifier logic for all tasks.
This environment is designed to validate the full stack end-to-end:
- Agent loop executes tool calls (terminal/file)
- ToolContext provides terminal access to the reward function
- Reward function verifies file content via cat
- Scored data flows through the Atropos pipeline
"""
name = "terminal-test"
env_config_cls = TerminalTestEnvConfig
@classmethod
def config_init(cls) -> Tuple[TerminalTestEnvConfig, List[APIServerConfig]]:
"""
Default configuration for the terminal test environment.
Uses Modal terminal backend for cloud isolation and OpenRouter with
Claude for inference. API keys loaded from ~/hermes-agent/.env.
"""
env_config = TerminalTestEnvConfig(
# Terminal + file tools only
enabled_toolsets=["terminal", "file"],
disabled_toolsets=None,
distribution=None,
# Agent settings
max_agent_turns=10, # Simple tasks, don't need many turns
max_token_length=16000,
agent_temperature=1.0,
system_prompt=(
"You are a helpful assistant with access to a terminal and file tools. "
"Complete the user's request by using the available tools. "
"Be precise and follow instructions exactly."
),
# Modal terminal backend for cloud-isolated sandboxes per rollout
terminal_backend="modal",
# Atropos settings
group_size=3, # 3 rollouts per group
tokenizer_name="NousResearch/q-30b-t-h45-e1",
tool_call_parser="hermes",
steps_per_eval=3, # Eval after all 3 steps
total_steps=3, # 3 groups total (1 group per step)
use_wandb=True,
wandb_name="terminal-test",
ensure_scores_are_not_same=False, # Allow all-same scores for simple tasks
# No external dataset
dataset_name=None,
)
# OpenRouter with Claude -- API key loaded from .env (OPENROUTER_API_KEY)
server_configs = [
APIServerConfig(
base_url="https://openrouter.ai/api/v1",
model_name="anthropic/claude-opus-4.6",
server_type="openai",
api_key=os.getenv("OPENROUTER_API_KEY", ""),
health_check=False, # OpenRouter doesn't have a /health endpoint
)
]
return env_config, server_configs
async def setup(self):
"""Initialize inline task lists."""
self.train_tasks = list(TRAIN_TASKS)
self.eval_tasks = list(EVAL_TASKS)
self.iter = 0
# Track reward stats for wandb logging
self.reward_buffer: List[float] = []
async def get_next_item(self) -> Dict[str, str]:
"""Cycle through training tasks."""
item = self.train_tasks[self.iter % len(self.train_tasks)]
self.iter += 1
return item
def format_prompt(self, item: Dict[str, str]) -> str:
"""The prompt is directly in the task item."""
return item["prompt"]
async def compute_reward(
self, item: Dict[str, str], result: AgentResult, ctx: ToolContext
) -> float:
"""
Verify by cat-ing the expected file path and checking content matches.
Same verifier for all tasks -- they all write a file at a known path.
Scoring:
1.0 = exact match
0.5 = expected content is present but has extra stuff
0.0 = file doesn't exist or content doesn't match
"""
verify_result = ctx.terminal(f"cat {item['verify_path']}")
# File doesn't exist or can't be read
if verify_result["exit_code"] != 0:
self.reward_buffer.append(0.0)
return 0.0
actual = verify_result.get("output", "").strip()
expected = item["expected_content"].strip()
# Exact match
if actual == expected:
self.reward_buffer.append(1.0)
return 1.0
# Partial credit: expected content is present but has extra stuff
if expected in actual:
self.reward_buffer.append(0.5)
return 0.5
self.reward_buffer.append(0.0)
return 0.0
async def evaluate(self, *args, **kwargs):
"""
Run eval tasks using the agent loop and verify results.
Logs accuracy metrics.
"""
start_time = time.time()
correct = 0
total = len(self.eval_tasks)
samples = []
for eval_item in self.eval_tasks:
try:
# For eval, we do a simple single-turn completion (not full agent loop)
# to keep eval fast. The agent loop is tested via training.
completion = await self.server.chat_completion(
messages=[
{"role": "system", "content": self.config.system_prompt or ""},
{"role": "user", "content": eval_item["prompt"]},
],
n=1,
max_tokens=self.config.max_token_length,
temperature=0.0,
split="eval",
)
response_content = (
completion.choices[0].message.content if completion.choices else ""
)
samples.append(
{
"prompt": eval_item["prompt"],
"response": response_content,
"expected": eval_item["expected_content"],
}
)
except Exception as e:
logger.error("Eval failed for item: %s", e)
samples.append(
{
"prompt": eval_item["prompt"],
"response": f"ERROR: {e}",
"expected": eval_item["expected_content"],
}
)
end_time = time.time()
eval_metrics = {
"eval/num_samples": total,
}
await self.evaluate_log(
metrics=eval_metrics,
samples=samples,
start_time=start_time,
end_time=end_time,
)
async def wandb_log(self, wandb_metrics: Optional[Dict] = None):
"""Log training metrics including reward stats and accuracy."""
if wandb_metrics is None:
wandb_metrics = {}
if self.reward_buffer:
total = len(self.reward_buffer)
correct = sum(1 for r in self.reward_buffer if r == 1.0)
partial = sum(1 for r in self.reward_buffer if r == 0.5)
wandb_metrics["train/avg_reward"] = sum(self.reward_buffer) / total
wandb_metrics["train/accuracy"] = correct / total
wandb_metrics["train/partial_match_rate"] = partial / total
wandb_metrics["train/total_rollouts"] = total
self.reward_buffer = []
await super().wandb_log(wandb_metrics)
if __name__ == "__main__":
TerminalTestEnv.cli()

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@@ -1,120 +0,0 @@
"""
Tool Call Parser Registry
Client-side parsers that extract structured tool_calls from raw model output text.
Used in Phase 2 (VLLM server type) where ManagedServer's /generate endpoint returns
raw text without tool call parsing.
Each parser is a standalone reimplementation of the corresponding VLLM parser's
non-streaming extract_tool_calls() logic. No VLLM dependency -- only standard library
(re, json, uuid) and openai types.
Usage:
from environments.tool_call_parsers import get_parser
parser = get_parser("hermes")
content, tool_calls = parser.parse(raw_model_output)
# content = text with tool call markup stripped
# tool_calls = list of ChatCompletionMessageToolCall objects, or None
"""
import logging
from abc import ABC, abstractmethod
from typing import Dict, List, Optional, Tuple, Type
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
)
logger = logging.getLogger(__name__)
# Type alias for parser return value
ParseResult = Tuple[Optional[str], Optional[List[ChatCompletionMessageToolCall]]]
class ToolCallParser(ABC):
"""
Base class for tool call parsers.
Each parser knows how to extract structured tool_calls from a specific
model family's raw output text format.
"""
@abstractmethod
def parse(self, text: str) -> ParseResult:
"""
Parse raw model output text for tool calls.
Args:
text: Raw decoded text from the model's completion
Returns:
Tuple of (content, tool_calls) where:
- content: text with tool call markup stripped (the message 'content' field),
or None if the entire output was tool calls
- tool_calls: list of ChatCompletionMessageToolCall objects,
or None if no tool calls were found
"""
raise NotImplementedError
# Global parser registry: name -> parser class
PARSER_REGISTRY: Dict[str, Type[ToolCallParser]] = {}
def register_parser(name: str):
"""
Decorator to register a parser class under a given name.
Usage:
@register_parser("hermes")
class HermesToolCallParser(ToolCallParser):
...
"""
def decorator(cls: Type[ToolCallParser]) -> Type[ToolCallParser]:
PARSER_REGISTRY[name] = cls
return cls
return decorator
def get_parser(name: str) -> ToolCallParser:
"""
Get a parser instance by name.
Args:
name: Parser name (e.g., "hermes", "mistral", "llama3_json")
Returns:
Instantiated parser
Raises:
KeyError: If parser name is not found in registry
"""
if name not in PARSER_REGISTRY:
available = sorted(PARSER_REGISTRY.keys())
raise KeyError(
f"Tool call parser '{name}' not found. Available parsers: {available}"
)
return PARSER_REGISTRY[name]()
def list_parsers() -> List[str]:
"""Return sorted list of registered parser names."""
return sorted(PARSER_REGISTRY.keys())
# Import all parser modules to trigger registration via @register_parser decorators
# Each module registers itself when imported
from environments.tool_call_parsers.hermes_parser import HermesToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.longcat_parser import LongcatToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.mistral_parser import MistralToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.llama_parser import LlamaToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.qwen_parser import QwenToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.deepseek_v3_parser import DeepSeekV3ToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.deepseek_v3_1_parser import DeepSeekV31ToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.kimi_k2_parser import KimiK2ToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.glm45_parser import Glm45ToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.glm47_parser import Glm47ToolCallParser # noqa: E402, F401
from environments.tool_call_parsers.qwen3_coder_parser import Qwen3CoderToolCallParser # noqa: E402, F401

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@@ -1,72 +0,0 @@
"""
DeepSeek V3.1 tool call parser.
Similar to V3 but with a slightly different format:
<tool▁call▁begin>function_name<tool▁sep>arguments<tool▁call▁end>
Note: V3 has type+name before the separator, V3.1 has name before and args after.
Based on VLLM's DeepSeekV31ToolParser.extract_tool_calls()
"""
import re
import uuid
from typing import List, Optional
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
@register_parser("deepseek_v3_1")
@register_parser("deepseek_v31")
class DeepSeekV31ToolCallParser(ToolCallParser):
"""
Parser for DeepSeek V3.1 tool calls.
Slightly different regex than V3: function_name comes before the separator,
arguments come after (no type field, no json code block wrapper).
"""
START_TOKEN = "<tool▁calls▁begin>"
# Regex captures: function_name, function_arguments
PATTERN = re.compile(
r"<tool▁call▁begin>(?P<function_name>.*?)<tool▁sep>(?P<function_arguments>.*?)<tool▁call▁end>",
re.DOTALL,
)
def parse(self, text: str) -> ParseResult:
if self.START_TOKEN not in text:
return text, None
try:
matches = self.PATTERN.findall(text)
if not matches:
return text, None
tool_calls: List[ChatCompletionMessageToolCall] = []
for match in matches:
func_name, func_args = match
tool_calls.append(
ChatCompletionMessageToolCall(
id=f"call_{uuid.uuid4().hex[:8]}",
type="function",
function=Function(
name=func_name.strip(),
arguments=func_args.strip(),
),
)
)
if not tool_calls:
return text, None
content = text[: text.find(self.START_TOKEN)].strip()
return content if content else None, tool_calls
except Exception:
return text, None

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@@ -1,89 +0,0 @@
"""
DeepSeek V3 tool call parser.
Format uses special unicode tokens:
<tool▁calls▁begin>
<tool▁call▁begin>type<tool▁sep>function_name
```json
{"arg": "value"}
```
<tool▁call▁end>
<tool▁calls▁end>
Fixes Issue #989: Support for multiple simultaneous tool calls.
"""
import re
import uuid
import logging
from typing import List, Optional, Tuple
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
logger = logging.getLogger(__name__)
@register_parser("deepseek_v3")
class DeepSeekV3ToolCallParser(ToolCallParser):
"""
Parser for DeepSeek V3 tool calls.
Uses special unicode tokens with fullwidth angle brackets and block elements.
Extracts type, function name, and JSON arguments from the structured format.
Ensures all tool calls are captured when the model executes multiple actions.
"""
START_TOKEN = "<tool▁calls▁begin>"
# Updated PATTERN: Using \s* instead of literal \n for increased robustness
# against variations in model formatting (Issue #989).
PATTERN = re.compile(
r"<tool▁call▁begin>(?P<type>.*?)<tool▁sep>(?P<function_name>.*?)\s*```json\s*(?P<function_arguments>.*?)\s*```\s*<tool▁call▁end>",
re.DOTALL,
)
def parse(self, text: str) -> ParseResult:
"""
Parses the input text and extracts all available tool calls.
"""
if self.START_TOKEN not in text:
return text, None
try:
# Using finditer to capture ALL tool calls in the sequence
matches = list(self.PATTERN.finditer(text))
if not matches:
return text, None
tool_calls: List[ChatCompletionMessageToolCall] = []
for match in matches:
func_name = match.group("function_name").strip()
func_args = match.group("function_arguments").strip()
tool_calls.append(
ChatCompletionMessageToolCall(
id=f"call_{uuid.uuid4().hex[:8]}",
type="function",
function=Function(
name=func_name,
arguments=func_args,
),
)
)
if tool_calls:
# Content is text before the first tool call block
content_index = text.find(self.START_TOKEN)
content = text[:content_index].strip()
return content if content else None, tool_calls
return text, None
except Exception as e:
logger.error(f"Error parsing DeepSeek V3 tool calls: {e}")
return text, None

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@@ -1,109 +0,0 @@
"""
GLM 4.5 (GLM-4-MoE) tool call parser.
Format uses custom arg_key/arg_value tags rather than standard JSON:
<tool_call>function_name
<arg_key>param1</arg_key><arg_value>value1</arg_value>
<arg_key>param2</arg_key><arg_value>value2</arg_value>
</tool_call>
Values are deserialized using json.loads -> ast.literal_eval -> raw string fallback.
Based on VLLM's Glm4MoeModelToolParser.extract_tool_calls()
"""
import ast
import json
import re
import uuid
from typing import Any, Dict, List, Optional
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
def _deserialize_value(value: str) -> Any:
"""
Try to deserialize a string value to its native Python type.
Attempts json.loads, then ast.literal_eval, then returns raw string.
"""
try:
return json.loads(value)
except (json.JSONDecodeError, TypeError):
pass
try:
return ast.literal_eval(value)
except (ValueError, SyntaxError, TypeError):
pass
return value
@register_parser("glm45")
class Glm45ToolCallParser(ToolCallParser):
"""
Parser for GLM 4.5 (GLM-4-MoE) tool calls.
Uses <tool_call>...</tool_call> tags with <arg_key>/<arg_value> pairs
instead of standard JSON arguments.
"""
FUNC_CALL_REGEX = re.compile(r"<tool_call>.*?</tool_call>", re.DOTALL)
FUNC_DETAIL_REGEX = re.compile(r"<tool_call>([^\n]*)\n(.*)</tool_call>", re.DOTALL)
FUNC_ARG_REGEX = re.compile(
r"<arg_key>(.*?)</arg_key>\s*<arg_value>(.*?)</arg_value>", re.DOTALL
)
START_TOKEN = "<tool_call>"
def parse(self, text: str) -> ParseResult:
if self.START_TOKEN not in text:
return text, None
try:
matched_calls = self.FUNC_CALL_REGEX.findall(text)
if not matched_calls:
return text, None
tool_calls: List[ChatCompletionMessageToolCall] = []
for match in matched_calls:
detail = self.FUNC_DETAIL_REGEX.search(match)
if not detail:
continue
func_name = detail.group(1).strip()
func_args_raw = detail.group(2)
# Parse arg_key/arg_value pairs
pairs = self.FUNC_ARG_REGEX.findall(func_args_raw) if func_args_raw else []
arg_dict: Dict[str, Any] = {}
for key, value in pairs:
arg_key = key.strip()
arg_val = _deserialize_value(value.strip())
arg_dict[arg_key] = arg_val
tool_calls.append(
ChatCompletionMessageToolCall(
id=f"call_{uuid.uuid4().hex[:8]}",
type="function",
function=Function(
name=func_name,
arguments=json.dumps(arg_dict, ensure_ascii=False),
),
)
)
if not tool_calls:
return text, None
content = text[: text.find(self.START_TOKEN)].strip()
return content if content else None, tool_calls
except Exception:
return text, None

View File

@@ -1,35 +0,0 @@
"""
GLM 4.7 tool call parser.
Same as GLM 4.5 but with slightly different regex patterns.
The tool_call tags may wrap differently and arg parsing handles
newlines between key/value pairs.
Based on VLLM's Glm47MoeModelToolParser (extends Glm4MoeModelToolParser).
"""
import re
from environments.tool_call_parsers import ParseResult, register_parser
from environments.tool_call_parsers.glm45_parser import Glm45ToolCallParser
@register_parser("glm47")
class Glm47ToolCallParser(Glm45ToolCallParser):
"""
Parser for GLM 4.7 tool calls.
Extends GLM 4.5 with updated regex patterns.
"""
def __init__(self):
super().__init__()
# GLM 4.7 uses a slightly different detail regex that includes
# the <tool_call> wrapper and optional arg_key content
self.FUNC_DETAIL_REGEX = re.compile(
r"<tool_call>(.*?)(<arg_key>.*?)?</tool_call>", re.DOTALL
)
# GLM 4.7 handles newlines between arg_key and arg_value tags
self.FUNC_ARG_REGEX = re.compile(
r"<arg_key>(.*?)</arg_key>(?:\\n|\s)*<arg_value>(.*?)</arg_value>",
re.DOTALL,
)

View File

@@ -1,75 +0,0 @@
"""
Hermes tool call parser.
Format: <tool_call>{"name": "func", "arguments": {...}}</tool_call>
Based on VLLM's Hermes2ProToolParser.extract_tool_calls()
"""
import json
import re
import uuid
from typing import List, Optional, Tuple
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
@register_parser("hermes")
class HermesToolCallParser(ToolCallParser):
"""
Parser for Hermes-format tool calls.
Matches <tool_call>...</tool_call> tags containing JSON with "name" and "arguments".
Also handles unclosed <tool_call> at end-of-string (truncated generation).
"""
# Matches both closed and unclosed tool_call tags
PATTERN = re.compile(
r"<tool_call>\s*(.*?)\s*</tool_call>|<tool_call>\s*(.*)", re.DOTALL
)
def parse(self, text: str) -> ParseResult:
if "<tool_call>" not in text:
return text, None
try:
matches = self.PATTERN.findall(text)
if not matches:
return text, None
tool_calls: List[ChatCompletionMessageToolCall] = []
for match in matches:
# match is a tuple: (closed_content, unclosed_content)
raw_json = match[0] if match[0] else match[1]
if not raw_json.strip():
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]}",
type="function",
function=Function(
name=tc_data["name"],
arguments=json.dumps(
tc_data.get("arguments", {}), ensure_ascii=False
),
),
)
)
if not tool_calls:
return text, None
# Content is everything before the first <tool_call> tag
content = text[: text.find("<tool_call>")].strip()
return content if content else None, tool_calls
except Exception:
return text, None

View File

@@ -1,93 +0,0 @@
"""
Kimi K2 tool call parser.
Format:
<|tool_calls_section_begin|>
<|tool_call_begin|>function_id:0<|tool_call_argument_begin|>{"arg": "val"}<|tool_call_end|>
<|tool_calls_section_end|>
The function_id format is typically "functions.func_name:index" or "func_name:index".
Based on VLLM's KimiK2ToolParser.extract_tool_calls()
"""
import re
import uuid
from typing import List, Optional
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
@register_parser("kimi_k2")
class KimiK2ToolCallParser(ToolCallParser):
"""
Parser for Kimi K2 tool calls.
Uses section begin/end tokens wrapping individual tool call begin/end tokens.
The tool_call_id contains the function name (after last dot, before colon).
"""
# Support both singular and plural variants
START_TOKENS = [
"<|tool_calls_section_begin|>",
"<|tool_call_section_begin|>",
]
# Regex captures: tool_call_id (e.g., "functions.get_weather:0"), function_arguments
PATTERN = re.compile(
r"<\|tool_call_begin\|>\s*(?P<tool_call_id>[^<]+:\d+)\s*"
r"<\|tool_call_argument_begin\|>\s*"
r"(?P<function_arguments>(?:(?!<\|tool_call_begin\|>).)*?)\s*"
r"<\|tool_call_end\|>",
re.DOTALL,
)
def parse(self, text: str) -> ParseResult:
# Check for any variant of the start token
has_start = any(token in text for token in self.START_TOKENS)
if not has_start:
return text, None
try:
matches = self.PATTERN.findall(text)
if not matches:
return text, None
tool_calls: List[ChatCompletionMessageToolCall] = []
for match in matches:
function_id, function_args = match
# Extract function name from ID format: "functions.get_weather:0" -> "get_weather"
function_name = function_id.split(":")[0].split(".")[-1]
tool_calls.append(
ChatCompletionMessageToolCall(
id=function_id, # Preserve the original ID format
type="function",
function=Function(
name=function_name,
arguments=function_args.strip(),
),
)
)
if not tool_calls:
return text, None
# Content is everything before the tool calls section
earliest_start = len(text)
for token in self.START_TOKENS:
idx = text.find(token)
if idx >= 0 and idx < earliest_start:
earliest_start = idx
content = text[:earliest_start].strip()
return content if content else None, tool_calls
except Exception:
return text, None

View File

@@ -1,96 +0,0 @@
"""
Llama 3.x / 4 tool call parser.
Format: The model outputs JSON objects with "name" and "arguments" (or "parameters") keys.
May be preceded by <|python_tag|> token. Supports multiple JSON objects separated
by content or semicolons.
Based on VLLM's Llama3JsonToolParser.extract_tool_calls()
"""
import json
import re
import uuid
from typing import List, Optional
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
@register_parser("llama3_json")
@register_parser("llama4_json")
class LlamaToolCallParser(ToolCallParser):
"""
Parser for Llama 3.x and 4 JSON-format tool calls.
Finds JSON objects containing "name" + ("arguments" or "parameters") keys.
Uses Python's json.JSONDecoder.raw_decode for robust extraction of
JSON objects from mixed text.
"""
BOT_TOKEN = "<|python_tag|>"
# Regex to find the start of potential JSON objects
JSON_START = re.compile(r"\{")
def parse(self, text: str) -> ParseResult:
# Quick check: need either the bot token or a JSON brace
if self.BOT_TOKEN not in text and "{" not in text:
return text, None
try:
decoder = json.JSONDecoder()
tool_calls: List[ChatCompletionMessageToolCall] = []
end_index = -1 # Track where the last parsed JSON ended
for match in self.JSON_START.finditer(text):
start = match.start()
# Skip if this brace is inside a previously parsed JSON object
if start <= end_index:
continue
try:
obj, json_end = decoder.raw_decode(text[start:])
end_index = start + json_end
# Must have "name" and either "arguments" or "parameters"
name = obj.get("name")
args = obj.get("arguments", obj.get("parameters"))
if not name or args is None:
continue
# Normalize arguments to JSON string
if isinstance(args, dict):
args = json.dumps(args, ensure_ascii=False)
elif not isinstance(args, str):
args = json.dumps(args, ensure_ascii=False)
tool_calls.append(
ChatCompletionMessageToolCall(
id=f"call_{uuid.uuid4().hex[:8]}",
type="function",
function=Function(name=name, arguments=args),
)
)
except (json.JSONDecodeError, KeyError, ValueError):
continue
if not tool_calls:
return text, None
# Content is everything before the first tool call JSON
# Find where the first tool call starts in the text
first_tc_start = text.find("{")
if self.BOT_TOKEN in text:
first_tc_start = text.find(self.BOT_TOKEN)
content = text[:first_tc_start].strip() if first_tc_start > 0 else None
return content, tool_calls
except Exception:
return text, None

View File

@@ -1,69 +0,0 @@
"""
Longcat Flash Chat tool call parser.
Same as Hermes but uses <longcat_tool_call> tags instead of <tool_call>.
Based on VLLM's LongcatFlashToolParser (extends Hermes2ProToolParser).
"""
import json
import re
import uuid
from typing import List, Optional
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
@register_parser("longcat")
class LongcatToolCallParser(ToolCallParser):
"""
Parser for Longcat Flash Chat tool calls.
Identical logic to Hermes, just different tag names.
"""
PATTERN = re.compile(
r"<longcat_tool_call>\s*(.*?)\s*</longcat_tool_call>|<longcat_tool_call>\s*(.*)",
re.DOTALL,
)
def parse(self, text: str) -> ParseResult:
if "<longcat_tool_call>" not in text:
return text, None
try:
matches = self.PATTERN.findall(text)
if not matches:
return text, None
tool_calls: List[ChatCompletionMessageToolCall] = []
for match in matches:
raw_json = match[0] if match[0] else match[1]
if not raw_json.strip():
continue
tc_data = json.loads(raw_json)
tool_calls.append(
ChatCompletionMessageToolCall(
id=f"call_{uuid.uuid4().hex[:8]}",
type="function",
function=Function(
name=tc_data["name"],
arguments=json.dumps(
tc_data.get("arguments", {}), ensure_ascii=False
),
),
)
)
if not tool_calls:
return text, None
content = text[: text.find("<longcat_tool_call>")].strip()
return content if content else None, tool_calls
except Exception:
return text, None

View File

@@ -1,137 +0,0 @@
"""
Mistral tool call parser.
Supports two formats depending on tokenizer version:
- Pre-v11: content[TOOL_CALLS] [{"name": ..., "arguments": {...}}, ...]
- v11+: content[TOOL_CALLS]tool_name1{"arg": "val"}[TOOL_CALLS]tool_name2{"arg": "val"}
Based on VLLM's MistralToolParser.extract_tool_calls()
The [TOOL_CALLS] token is the bot_token used by Mistral models.
"""
import json
import uuid
from typing import List, Optional
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
def _generate_mistral_id() -> str:
"""Mistral tool call IDs are 9-char alphanumeric strings."""
import random
import string
return "".join(random.choices(string.ascii_letters + string.digits, k=9))
@register_parser("mistral")
class MistralToolCallParser(ToolCallParser):
"""
Parser for Mistral-format tool calls.
Detects format by checking if the content after [TOOL_CALLS] starts with '['
(pre-v11 JSON array) or with a tool name (v11+ format).
"""
# The [TOOL_CALLS] token -- may appear as different strings depending on tokenizer
BOT_TOKEN = "[TOOL_CALLS]"
def parse(self, text: str) -> ParseResult:
if self.BOT_TOKEN not in text:
return text, None
try:
parts = text.split(self.BOT_TOKEN)
content = parts[0].strip()
raw_tool_calls = parts[1:]
# Detect format: if the first raw part starts with '[', it's pre-v11
first_raw = raw_tool_calls[0].strip() if raw_tool_calls else ""
is_pre_v11 = first_raw.startswith("[") or first_raw.startswith("{")
tool_calls: List[ChatCompletionMessageToolCall] = []
if not is_pre_v11:
# v11+ format: [TOOL_CALLS]tool_name{args}[TOOL_CALLS]tool_name2{args2}
for raw in raw_tool_calls:
raw = raw.strip()
if not raw or "{" not in raw:
continue
brace_idx = raw.find("{")
tool_name = raw[:brace_idx].strip()
args_str = raw[brace_idx:]
# Validate and clean the JSON arguments
try:
parsed_args = json.loads(args_str)
args_str = json.dumps(parsed_args, ensure_ascii=False)
except json.JSONDecodeError:
pass # Keep raw if parsing fails
tool_calls.append(
ChatCompletionMessageToolCall(
id=_generate_mistral_id(),
type="function",
function=Function(name=tool_name, arguments=args_str),
)
)
else:
# Pre-v11 format: [TOOL_CALLS] [{"name": ..., "arguments": {...}}]
try:
parsed = json.loads(first_raw)
if isinstance(parsed, dict):
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)
tool_calls.append(
ChatCompletionMessageToolCall(
id=_generate_mistral_id(),
type="function",
function=Function(
name=tc["name"], arguments=args
),
)
)
except json.JSONDecodeError:
# Fallback: extract JSON objects using raw_decode
decoder = json.JSONDecoder()
idx = 0
while idx < len(first_raw):
try:
obj, end_idx = decoder.raw_decode(first_raw, idx)
if isinstance(obj, dict) and "name" in obj:
args = obj.get("arguments", {})
if isinstance(args, dict):
args = json.dumps(args, ensure_ascii=False)
tool_calls.append(
ChatCompletionMessageToolCall(
id=_generate_mistral_id(),
type="function",
function=Function(
name=obj["name"], arguments=args
),
)
)
idx = end_idx
except json.JSONDecodeError:
idx += 1
if not tool_calls:
return text, None
return content if content else None, tool_calls
except Exception:
return text, None

View File

@@ -1,163 +0,0 @@
"""
Qwen3-Coder tool call parser.
Format uses XML-style nested tags:
<tool_call>
<function=function_name>
<parameter=param_name>value</parameter>
<parameter=param_name2>value2</parameter>
</function>
</tool_call>
Parameters are extracted from <parameter=name>value</parameter> tags and
type-converted using the schema if available, otherwise treated as strings.
Based on VLLM's Qwen3CoderToolParser.extract_tool_calls()
"""
import ast
import json
import re
import uuid
from typing import Any, Dict, List, Optional
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
def _try_convert_value(value: str) -> Any:
"""
Try to convert a parameter value string to a native Python type.
Handles null, numbers, booleans, JSON objects/arrays, and falls back to string.
"""
stripped = value.strip()
# Handle null
if stripped.lower() == "null":
return None
# Try JSON first (handles objects, arrays, strings, numbers, booleans)
try:
return json.loads(stripped)
except (json.JSONDecodeError, TypeError):
pass
# Try Python literal eval (handles tuples, etc.)
try:
return ast.literal_eval(stripped)
except (ValueError, SyntaxError, TypeError):
pass
# Return as string
return stripped
@register_parser("qwen3_coder")
class Qwen3CoderToolCallParser(ToolCallParser):
"""
Parser for Qwen3-Coder XML-format tool calls.
Uses nested XML tags: <tool_call><function=name><parameter=key>val</parameter></function></tool_call>
"""
START_TOKEN = "<tool_call>"
FUNCTION_PREFIX = "<function="
# Find complete tool_call blocks (or unclosed at end)
TOOL_CALL_REGEX = re.compile(
r"<tool_call>(.*?)</tool_call>|<tool_call>(.*?)$", re.DOTALL
)
# Find function blocks within a tool_call
FUNCTION_REGEX = re.compile(
r"<function=(.*?)</function>|<function=(.*)$", re.DOTALL
)
# Find parameter blocks within a function
PARAMETER_REGEX = re.compile(
r"<parameter=(.*?)(?:</parameter>|(?=<parameter=)|(?=</function>)|$)",
re.DOTALL,
)
def _parse_function_call(self, function_str: str) -> Optional[ChatCompletionMessageToolCall]:
"""Parse a single <function=name>...</function> block into a ToolCall."""
try:
# Extract function name: everything before the first '>'
gt_idx = function_str.index(">")
func_name = function_str[:gt_idx].strip()
params_str = function_str[gt_idx + 1:]
# Extract parameters
param_dict: Dict[str, Any] = {}
for match_text in self.PARAMETER_REGEX.findall(params_str):
if ">" not in match_text:
continue
eq_idx = match_text.index(">")
param_name = match_text[:eq_idx].strip()
param_value = match_text[eq_idx + 1:]
# Clean up whitespace
if param_value.startswith("\n"):
param_value = param_value[1:]
if param_value.endswith("\n"):
param_value = param_value[:-1]
param_dict[param_name] = _try_convert_value(param_value)
return ChatCompletionMessageToolCall(
id=f"call_{uuid.uuid4().hex[:24]}",
type="function",
function=Function(
name=func_name,
arguments=json.dumps(param_dict, ensure_ascii=False),
),
)
except (ValueError, IndexError):
return None
def parse(self, text: str) -> ParseResult:
if self.FUNCTION_PREFIX not in text:
return text, None
try:
# Find all tool_call blocks
tc_matches = self.TOOL_CALL_REGEX.findall(text)
raw_blocks = [m[0] if m[0] else m[1] for m in tc_matches]
# Fallback: if no tool_call tags, try the whole text
if not raw_blocks:
raw_blocks = [text]
# Find function blocks within each tool_call
function_strs: List[str] = []
for block in raw_blocks:
func_matches = self.FUNCTION_REGEX.findall(block)
function_strs.extend(m[0] if m[0] else m[1] for m in func_matches)
if not function_strs:
return text, None
# Parse each function call
tool_calls: List[ChatCompletionMessageToolCall] = []
for func_str in function_strs:
tc = self._parse_function_call(func_str)
if tc is not None:
tool_calls.append(tc)
if not tool_calls:
return text, None
# Content before tool calls
first_tc = text.find(self.START_TOKEN)
if first_tc < 0:
first_tc = text.find(self.FUNCTION_PREFIX)
content = text[:first_tc].strip() if first_tc > 0 else None
return content, tool_calls
except Exception:
return text, None

View File

@@ -1,19 +0,0 @@
"""
Qwen 2.5 tool call parser.
Uses the same <tool_call> format as Hermes.
Registered as a separate parser name for clarity when using --tool-parser=qwen.
"""
from environments.tool_call_parsers import register_parser
from environments.tool_call_parsers.hermes_parser import HermesToolCallParser
@register_parser("qwen")
class QwenToolCallParser(HermesToolCallParser):
"""
Parser for Qwen 2.5 tool calls.
Same <tool_call>{"name": ..., "arguments": ...}</tool_call> format as Hermes.
"""
pass # Identical format -- inherits everything from Hermes

View File

@@ -1,473 +0,0 @@
"""
ToolContext -- Unrestricted Tool Access for Reward Functions
A per-rollout handle that gives reward/verification functions direct access to
ALL hermes-agent tools, scoped to the rollout's task_id. The same task_id means
the terminal/browser session is the SAME one the model used during its rollout --
all state (files, processes, browser tabs) is preserved.
The verifier author decides which tools to use. Nothing is hardcoded or gated.
Example usage in a compute_reward():
async def compute_reward(self, item, result, ctx):
# Run tests in the model's terminal sandbox
test = ctx.terminal("pytest -v")
if test["exit_code"] == 0:
return 1.0
# Check if a file was created
content = ctx.read_file("/workspace/solution.py")
if content.get("content"):
return 0.5
return 0.0
"""
import json
import logging
import os
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
logger = logging.getLogger(__name__)
# Thread pool for running sync tool calls that internally use asyncio.run()
_tool_executor = concurrent.futures.ThreadPoolExecutor(max_workers=4)
def _run_tool_in_thread(tool_name: str, arguments: Dict[str, Any], task_id: str) -> str:
"""
Run a tool call in a thread pool executor so backends that use asyncio.run()
internally (modal, docker, daytona) get a clean event loop.
If we're already in an async context, executes handle_function_call() in a
disposable worker thread and blocks for the result.
If not (e.g., called from sync code), runs directly.
"""
try:
loop = asyncio.get_running_loop()
# We're in an async context -- need to run in thread
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
future = pool.submit(
handle_function_call, tool_name, arguments, task_id
)
return future.result(timeout=300)
except RuntimeError:
# No running event loop -- safe to call directly
return handle_function_call(tool_name, arguments, task_id)
class ToolContext:
"""
Open-ended access to all hermes-agent tools for a specific rollout.
Passed to compute_reward() so verifiers can use any tool they need:
terminal commands, file reads/writes, web searches, browser automation, etc.
All calls share the rollout's task_id for session isolation.
"""
def __init__(self, task_id: str):
self.task_id = task_id
# -------------------------------------------------------------------------
# Terminal tools
# -------------------------------------------------------------------------
def terminal(self, command: str, timeout: int = 180) -> Dict[str, Any]:
"""
Run a command in the rollout's terminal session.
Args:
command: Shell command to execute
timeout: Command timeout in seconds
Returns:
Dict with 'exit_code' (int) and 'output' (str)
"""
import os
backend = os.getenv("TERMINAL_ENV", "local")
logger.debug("ToolContext.terminal [%s backend] task=%s: %s", backend, self.task_id[:8], command[:100])
# Run via thread helper so modal/docker/daytona backends' asyncio.run() doesn't deadlock
result = _run_tool_in_thread(
"terminal",
{"command": command, "timeout": timeout},
self.task_id,
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"exit_code": -1, "output": result}
# -------------------------------------------------------------------------
# File tools
# -------------------------------------------------------------------------
def read_file(self, path: str) -> Dict[str, Any]:
"""
Read a file from the rollout's filesystem.
Args:
path: File path to read
Returns:
Dict with file content or error
"""
result = handle_function_call(
"read_file", {"path": path}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
def write_file(self, path: str, content: str) -> Dict[str, Any]:
"""
Write a TEXT file in the rollout's filesystem.
Uses a shell heredoc under the hood, so this is only safe for text content.
For binary files (images, compiled artifacts, etc.), use upload_file() instead.
Args:
path: File path to write
content: Text content to write
Returns:
Dict with success status or error
"""
result = handle_function_call(
"write_file", {"path": path, "content": content}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
def upload_file(self, local_path: str, remote_path: str) -> Dict[str, Any]:
"""
Upload a local file to the rollout's sandbox (binary-safe).
Unlike write_file() which passes content through a shell heredoc (text-only),
this method base64-encodes the file and decodes it inside the sandbox.
Safe for any file type: binaries, images, archives, etc.
For large files (>1MB), the content is split into chunks to avoid
hitting shell command-length limits.
Args:
local_path: Path to a local file on the host
remote_path: Destination path inside the sandbox
Returns:
Dict with 'exit_code' and 'output'
"""
import base64
from pathlib import Path as _Path
local = _Path(local_path)
if not local.exists():
return {"exit_code": -1, "output": f"Local file not found: {local_path}"}
raw = local.read_bytes()
b64 = base64.b64encode(raw).decode("ascii")
# Ensure parent directory exists in the sandbox
parent = str(_Path(remote_path).parent)
if parent not in (".", "/"):
self.terminal(f"mkdir -p {parent}", timeout=10)
# For small files, single command is fine
chunk_size = 60_000 # ~60KB per chunk (well within shell limits)
if len(b64) <= chunk_size:
result = self.terminal(
f"printf '%s' '{b64}' | base64 -d > {remote_path}",
timeout=30,
)
else:
# For larger files, write base64 in chunks then decode
tmp_b64 = "/tmp/_hermes_upload.b64"
self.terminal(f": > {tmp_b64}", timeout=5) # truncate
for i in range(0, len(b64), chunk_size):
chunk = b64[i : i + chunk_size]
self.terminal(f"printf '%s' '{chunk}' >> {tmp_b64}", timeout=15)
result = self.terminal(
f"base64 -d {tmp_b64} > {remote_path} && rm -f {tmp_b64}",
timeout=30,
)
return result
def upload_dir(self, local_dir: str, remote_dir: str) -> List[Dict[str, Any]]:
"""
Upload an entire local directory to the rollout's sandbox (binary-safe).
Recursively uploads all files, preserving directory structure.
Args:
local_dir: Path to a local directory on the host
remote_dir: Destination directory inside the sandbox
Returns:
List of results, one per file uploaded
"""
from pathlib import Path as _Path
local = _Path(local_dir)
if not local.exists() or not local.is_dir():
return [{"exit_code": -1, "output": f"Local directory not found: {local_dir}"}]
results = []
for file_path in sorted(local.rglob("*")):
if file_path.is_file():
relative = file_path.relative_to(local)
target = f"{remote_dir}/{relative}"
results.append(self.upload_file(str(file_path), target))
return results
def download_file(self, remote_path: str, local_path: str) -> Dict[str, Any]:
"""
Download a file from the rollout's sandbox to the host (binary-safe).
The inverse of upload_file(). Base64-encodes the file inside the sandbox,
reads the encoded data through the terminal, and decodes it locally.
Safe for any file type.
Args:
remote_path: Path to the file inside the sandbox
local_path: Destination path on the host
Returns:
Dict with 'success' (bool) and 'bytes' (int) or 'error' (str)
"""
import base64
from pathlib import Path as _Path
# Base64-encode the file inside the sandbox and capture output
result = self.terminal(
f"base64 {remote_path} 2>/dev/null",
timeout=30,
)
if result.get("exit_code", -1) != 0:
return {
"success": False,
"error": f"Failed to read remote file: {result.get('output', '')}",
}
b64_data = result.get("output", "").strip()
if not b64_data:
return {"success": False, "error": f"Remote file is empty or missing: {remote_path}"}
try:
raw = base64.b64decode(b64_data)
except Exception as e:
return {"success": False, "error": f"Base64 decode failed: {e}"}
# Write to local host filesystem
local = _Path(local_path)
local.parent.mkdir(parents=True, exist_ok=True)
local.write_bytes(raw)
return {"success": True, "bytes": len(raw)}
def download_dir(self, remote_dir: str, local_dir: str) -> List[Dict[str, Any]]:
"""
Download a directory from the rollout's sandbox to the host (binary-safe).
Lists all files in the remote directory, then downloads each one.
Preserves directory structure.
Args:
remote_dir: Path to the directory inside the sandbox
local_dir: Destination directory on the host
Returns:
List of results, one per file downloaded
"""
from pathlib import Path as _Path
# List files in the remote directory
ls_result = self.terminal(
f"find {remote_dir} -type f 2>/dev/null",
timeout=15,
)
if ls_result.get("exit_code", -1) != 0:
return [{"success": False, "error": f"Failed to list remote dir: {remote_dir}"}]
file_list = ls_result.get("output", "").strip()
if not file_list:
return [{"success": False, "error": f"Remote directory is empty or missing: {remote_dir}"}]
results = []
for remote_file in file_list.splitlines():
remote_file = remote_file.strip()
if not remote_file:
continue
# Compute the relative path to preserve directory structure
if remote_file.startswith(remote_dir):
relative = remote_file[len(remote_dir):].lstrip("/")
else:
relative = _Path(remote_file).name
local_file = str(_Path(local_dir) / relative)
results.append(self.download_file(remote_file, local_file))
return results
def search(self, query: str, path: str = ".") -> Dict[str, Any]:
"""
Search for text in the rollout's filesystem.
Args:
query: Search query
path: Directory to search in
Returns:
Dict with search results
"""
result = handle_function_call(
"search_files", {"pattern": query, "path": path}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
# -------------------------------------------------------------------------
# Web tools
# -------------------------------------------------------------------------
def web_search(self, query: str) -> Dict[str, Any]:
"""
Search the web.
Args:
query: Search query
Returns:
Dict with search results
"""
result = handle_function_call("web_search", {"query": query})
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
def web_extract(self, urls: List[str]) -> Dict[str, Any]:
"""
Extract content from URLs.
Args:
urls: List of URLs to extract content from
Returns:
Dict with extracted content
"""
result = handle_function_call("web_extract", {"urls": urls})
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
# -------------------------------------------------------------------------
# Browser tools
# -------------------------------------------------------------------------
def browser_navigate(self, url: str) -> Dict[str, Any]:
"""
Navigate the rollout's browser session to a URL.
Args:
url: URL to navigate to
Returns:
Dict with page snapshot or error
"""
result = handle_function_call(
"browser_navigate", {"url": url}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
def browser_snapshot(self) -> Dict[str, Any]:
"""
Take a snapshot of the current browser page.
Returns:
Dict with page content/accessibility snapshot
"""
result = handle_function_call(
"browser_snapshot", {}, task_id=self.task_id
)
try:
return json.loads(result)
except json.JSONDecodeError:
return {"error": result}
# -------------------------------------------------------------------------
# Generic tool access
# -------------------------------------------------------------------------
def call_tool(self, tool_name: str, arguments: Dict[str, Any]) -> str:
"""
Call any hermes-agent tool by name.
This is the generic escape hatch -- if a tool doesn't have a convenience
wrapper above, you can call it directly here.
Args:
tool_name: Name of the tool (e.g., "vision_analyze", "skills_list")
arguments: Dict of arguments for the tool
Returns:
Raw JSON string result from the tool
"""
return _run_tool_in_thread(tool_name, arguments, self.task_id)
# -------------------------------------------------------------------------
# Cleanup
# -------------------------------------------------------------------------
def cleanup(self):
"""
Release all resources (terminal VMs, browser sessions, background processes)
for this rollout.
Called automatically by the base environment via try/finally after
compute_reward() completes. You generally don't need to call this yourself.
"""
# Kill any background processes from this rollout (safety net)
try:
from hermes_agent.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)
except Exception as e:
logger.debug("Process cleanup for task %s: %s", self.task_id, e)
try:
cleanup_vm(self.task_id)
except Exception as e:
logger.debug("VM cleanup for task %s: %s", self.task_id, e)
# Suppress browser_tool's noisy debug prints during cleanup.
# The cleanup still runs (safe), it just doesn't spam the console.
_prev_quiet = os.environ.get("HERMES_QUIET")
os.environ["HERMES_QUIET"] = "1"
try:
cleanup_browser(self.task_id)
except Exception as e:
logger.debug("Browser cleanup for task %s: %s", self.task_id, e)
finally:
if _prev_quiet is None:
os.environ.pop("HERMES_QUIET", None)
else:
os.environ["HERMES_QUIET"] = _prev_quiet

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