# Setup Guide — Hermes Incident Commander ## Quick Start (Demo Only — No Hermes Required) ```bash # 1. Clone the repo git clone https://github.com/YOUR_USERNAME/hermes-incident-commander cd hermes-incident-commander # 2. Install demo dependencies pip install anthropic rich # 3. Set API key export ANTHROPIC_API_KEY=sk-ant-... # 4. Run a demo incident python demo/demo_incident.py --scenario disk-full-logs ``` --- ## Full Setup (With Hermes Agent) ### Step 1: Install Hermes Agent ```bash curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash ``` This installs Python 3.11, uv, and Hermes. Takes about 60 seconds. ### Step 2: Run Setup Wizard ```bash hermes setup ``` Choose your model provider: - **Nous Portal** (recommended) — OAuth login, access to Hermes models - **OpenRouter** — API key, access to all models - **Custom endpoint** — VLLM, Ollama, or any OpenAI-compatible API ### Step 3: Install the Incident Commander Skill ```bash # Copy skill to Hermes's skills directory cp -r skills/incident-commander ~/.hermes/skills/ # Verify it loaded hermes # In the Hermes CLI: > /skills # You should see "incident-commander" in the list ``` ### Step 4: Set Up Messaging Gateway (for alerts) ```bash hermes gateway setup ``` Follow the prompts to connect: - **Telegram** (recommended) — Create a bot via @BotFather, paste the token - **Discord** — Create a bot in Discord Developer Portal - **Slack** — Create a Slack app with webhook URL Then start the gateway: ```bash hermes gateway install # Installs as systemd service (runs on boot) hermes gateway # Or run manually ``` ### Step 5: Configure Monitoring Cron Jobs Open a Hermes conversation and say: ``` Set up incident monitoring with these schedules: - Every 5 minutes: run a critical health check, alert me on Telegram if severity is P0 or P1 - Every hour: run a comprehensive system audit and save it to ~/.hermes/incidents/ - Every day at 08:00: send me a morning briefing on Telegram with any trends or risks ``` Hermes will create the cron jobs automatically. ### Step 6: Test It ```bash # Trigger a test incident hermes > I'm testing the incident response system. > Please investigate the current system health and generate a test incident report. ``` --- ## RL Training Setup (Advanced) ### Prerequisites - Hermes Agent installed - Atropos: `pip install atroposlib` - For GPU training: VLLM installed ### Generate SFT Training Data ```bash # Set your API key export OPENROUTER_API_KEY=sk-or-... # Generate 100 training trajectories (SFT mode) python environments/incident_env.py process \ --config environments/incident_config.yaml \ --num-episodes 100 ``` Output: ShareGPT-format JSONL in `~/.hermes/trajectories/` ### Full RL Training ```bash # Edit config to point to your VLLM server vim environments/incident_config.yaml # Set: server_type: vllm, model_name: your-model # Start training python environments/incident_env.py serve \ --config environments/incident_config.yaml ``` Metrics logged to Weights & Biases (configure `wandb.entity` in config). --- ## Troubleshooting **"hermes: command not found"** ```bash source ~/.bashrc # or ~/.zshrc # Or: ~/.local/bin/hermes ``` **"Skill not loading"** ```bash ls ~/.hermes/skills/incident-commander/SKILL.md # Should exist hermes doctor # Runs full diagnostics ``` **"Cron jobs not running"** ```bash hermes gateway # Gateway must be running for cron systemctl status hermes-gateway # If installed as service ``` **Demo script errors** ```bash pip install anthropic rich # Make sure dependencies are installed python -c "import anthropic; print(anthropic.__version__)" # Should be >= 0.49 ```