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Entwicklung · SKILL.md

runtime-services

runtime-services

Configure and troubleshoot ADK runtime services: Runner, App, sessions, memory, artifacts, plugins, telemetry, code executors, environments, event persistence, and service lifecycles.

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Skill-Dokumentation

GitHub

name: runtime-services description: "Configure and troubleshoot ADK runtime services: Runner, App, sessions, memory, artifacts, plugins, telemetry, code executors, environments, event persistence, and service lifecycles." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Runtime Services

Use this sub-skill when a task is about ADK execution services rather than agent design: Runner, InMemoryRunner, App, session persistence, memory, artifacts, plugins, telemetry, code executors, execution environments, event storage, lifecycle cleanup, or service migration cautions.

Route Here

  • Create or debug a Runner/InMemoryRunner, including run, run_async, run_live, run_debug, close, and auto_create_session behavior.
  • Choose between InMemorySessionService, SqliteSessionService, DatabaseSessionService, or cloud-backed session/memory/artifact services.
  • Explain why events, state, memory, artifacts, or live audio blobs were or were not persisted.
  • Add an app-level BasePlugin that observes model/tool/user/event callbacks while preserving runner-owned event persistence.
  • Configure OpenTelemetry/logging, TelemetryConfig, or google_adk logger behavior.
  • Attach a code executor or execution environment and assess local/container/cloud safety trade-offs.
  • Diagnose optional dependency failures such as missing SQLAlchemy for DB sessions or missing extension/cloud packages.

Route Elsewhere

Working Path

  1. Identify which service owns the symptom: runner lifecycle, session event persistence, memory ingestion/search, artifact storage, plugin callback order, telemetry export, or code execution.
  2. Confirm installation assumptions: google-adk 2.3.0, import root google.adk, Python 3.10+, and optional extras absent unless installed explicitly.
  3. Use in-memory services for focused local tests; switch to persistent services only after checking dependencies, URLs/paths, concurrency, migrations, and credential requirements.
  4. Keep event persistence runner-owned: stream events through Runner.run_async/run_live and let the configured session service append non-partial events.
  5. Close long-lived services with await runner.close() or async with Runner(...) when plugins, toolsets, or database engines need cleanup.

References And Scripts

  • API Reference: constructor signatures, core methods, imports, service contracts, optional extras, and lifecycle notes.
  • Service Patterns: safe recipes for runner setup, persistence choices, plugins, telemetry, memory/artifacts, and code execution.
  • Troubleshooting: symptom-driven fixes for DB extras, event persistence, plugin callback order, blocking tools, code executors, credentials, and migrations.
  • Runtime Services Diagnostic: safe local script that prints base runtime imports/signatures and reports optional DB-extra availability without touching databases or credentials.

Safety Defaults

  • Prefer InMemoryRunner or explicit Runner(..., session_service=InMemorySessionService()) for examples and unit tests.
  • Treat InMemorySessionService, InMemoryMemoryService, and InMemoryArtifactService as development/test services, not multi-process production stores.
  • Do not run destructive migrations or open user databases as a first diagnostic; inspect optional imports and backup plans before migration.
  • Treat UnsafeLocalCodeExecutor and LocalEnvironment as high-trust local-only surfaces because model-generated code or shell commands can affect the host.
  • Do not assume base install includes DB, extension, MCP, GCP, or cloud service dependencies.
Gespeicherte Skills