microdao-daarion/docs/runbooks/CONFIG_GENERATION_WORKFLOW.md

Config Generation Workflow

Goal

Keep agent policy consistent and avoid drift between registry and runtime router config.

Current Reality

• tools/agents generate updates:
  • config/router_agents.json
  • config/crewai_agents.json
  • gateway-bot/agent_registry.json
• services/router/router-config.yml is still runtime-critical and currently not fully regenerated from registry.

Update Procedure

1. Edit canonical policy in config/agent_registry.yml.
2. Run python3 tools/agents generate.
3. Manually sync runtime-critical rules in services/router/router-config.yml:
   • llm profiles (cloud_deepseek, cloud_mistral, cloud_grok, local profiles)
   • per-agent routing rules (*_agent rules)
   • infra agents local-first constraints
4. Deploy router and run smoke:
   • infer: all top-level agents + monitor
   • webhook: /telegram/webhook + selected agent webhook
   • canary: ops/monitor_canary_summary.sh
5. Commit policy docs + config updates in one PR/commit set.

Hard Rules

• No temporary code-level model policy hacks in services/router/main.py.
• If emergency hotfix is needed, remove it in the next stabilization commit.