agentops-stacks

Scaffold a new AgentOps Stacks project — a multi-agent LangGraph bundle (DAB) with shared components, per-agent Databricks Apps, evaluation, and CI/CD. Use when the user wants to start a new AI agent project on Databricks. Triggers on "scaffold a new agentops project", "new DAB with CI/CD", "start a new Databricks AI project", "create agentops-stacks project".

Operate and troubleshoot the Lakebase memory component in an AgentOps Stacks project — check connection health, refresh credentials, inspect or clear checkpointer tables, manage the Postgres schema. Use when the user's agent is having memory/persistence issues.

Operate and troubleshoot the UC Functions tools component in an AgentOps Stacks project — register new functions, update EXECUTE grants, list available functions, re-run the registration job. Use when the user needs to add, update, or grant access to UC functions used by their agent.

Operate and troubleshoot the Vector Search component in an AgentOps Stacks project — check index status, trigger sync, test the retriever, update the DLT data pipeline. Use when the user needs to manage their VS index or debug retrieval quality.

Add a new agent to an existing AgentOps Stacks project. Creates the agent folder, app resource, experiment, and manifest entry. Triggers on "add agent", "new agent", "create another agent", "add-agent".

Guide an agentops-stacks project through its full production lifecycle — data preparation, agent development, evaluation gates, CI/CD promotion, and production monitoring — following the Single-Account Single-Agent pattern from the Big Book of AgentOps. Use after `databricks bundle init` has been run and `.agentops-stacks/manifest.yml` exists. Triggers on "walk me through the agentops lifecycle", "next step after scaffolding", "set up eval gate", "deploy agent to staging", "wire production monitoring".