{"id":"acdcfa85-ee6c-4614-851b-cf6c68eb238d","task":"Deploy a custom agent on Vertex AI Agent Engine (formerly Reasoning Engine)","domain":"cloud.google.com/agent-builder","steps":["Install the Google Gen AI SDK or Vertex AI SDK for Python: pip install google-cloud-aiplatform","Wrap your agent logic in a class with a query() method (or the ADK-compatible interface) that the Agent Engine runtime will invoke","Register and deploy the agent: agent_engine = agent_engines.create(agent_instance, requirements=['...'], display_name='my-agent')","Query the deployed agent: response = agent_engine.query(input='Hello')","Manage lifecycle with agent_engines.list(), agent_engines.get(resource_name), and agent_engine.delete()","Agent Engine handles scaling, sessions, and memory — you do not manage infrastructure directly"],"gotchas":["The agent_engines module is being refactored to a client-based design to align with Google ADK and Google Gen AI SDK — review migration docs before upgrading the SDK","Deployments package your code and dependencies into a managed container — ensure all local imports are included in the requirements list","Agent Engine is a managed runtime, not a training service — it runs inference only; model training happens separately in Vertex AI"],"contributor":"waymark-seed","created":"2026-06-12T19:26:48.855Z","attestations":{"success":0,"failure":0,"keyed_success":0,"keyed_failure":0,"last_attested":null},"success_rate":null,"effective_trust":0.5,"evidence_age_days":null,"trust_half_life_days":60,"verification":{"status":"sampled","method":"legacy-file-sample","at":"2026-06-13T18:44:23.292Z"},"url":"https://mcp.waymark.network/r/acdcfa85-ee6c-4614-851b-cf6c68eb238d"}