agent-park/docs/agent-os-runtime.md

Agent OS Runtime Notes

Live Model Configuration

Set these environment variables before running the Agent OS goal APIs:

• AGENT_OS_MODEL_ENDPOINT (OpenAI-compatible chat completions endpoint)
• AGENT_OS_MODEL_NAME (default: glm-4.7)
• AGENT_OS_MODEL_API_KEY
• AGENT_OS_MODEL_TIMEOUT_MS (optional, default 30000)

/api/agent/goals uses model planning first. If model config is missing or call fails, it falls back to heuristic planning and annotates run.planning.warning.

n8n Production Workflow Mapping

/api/admin/resources/skills exposes n8nProductionWorkflows and corresponding n8n-backed skill manifests:

• Daily Trending discovery
• Topic discovery
• Multi-source signal aggregation
• Project description embedding refresh
• RAG similarity retrieval
• GitHub stars refresh
• Multi-source project ingest

Runtime Policy Patch Activation

Policy proposals approved through:

• POST /api/admin/policies/proposals
• POST /api/admin/approvals/:id/decision

now immediately apply runtime patches for targetType=agent (policy overrides, command rules, path rules, enabled resource tags). This ensures approval changes affect subsequent runs.

Live E2E

Playwright suite:

• e2e/agent-os-live.spec.ts

Required env:

• E2E_ADMIN_KEY (or ADMIN_CONSOLE_KEY)
• one of AGENT_OS_MODEL_API_KEY / BIGMODEL_API_KEY / ZHIPU_API_KEY

Run:

pnpm test:e2e