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microdao-daarion/docs/runbooks/CONFIG_GENERATION_WORKFLOW.md

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# 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.