Google ADK Python v2.13.0
Google ADK Python v2.13.0 adds TypeSafe Jev model classifiers, live audio barge-in with Gemini STT/TTS, experimental MongoDB session and memory services, and breaking OpenTelemetry schema updates.
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为什么值得关注
Google has released ADK Python version 2.13.0 with significant new integrations, performance enhancements, and breaking telemetry changes. Key additions and modifications include: - Breaking Telemetry Changes: Defaults now follow OpenTelemetry GenAI v2 ( otel semconv 1 44 ) semantics, deprecating and removing the call llm span. Developers requiring the legacy schema can opt in using ADK TELEMETRY SCHEMA VERSION OPT IN=otel semconv 1 36 . - Workflow Classification: Introduced TypesafeClassifier (for TypeSafe Jev models) and ClassifierNode , designed for routing workflows with calibrated probabilities faster than standard LLMs. Added general abstractions including BaseClassifier and LlmClassifier . - Live Audio Support: Added natural real-time voice interactions via CascadeLiveConnection , featuring barge-in handling and integration with Gemini speech-to-text (STT) and text-to-speech (TTS). - MongoDB Integrations: Added experimental MongoDbSessionService (enabling cross-runner session sharing) and MongoDbMemoryService (keyword-based turn recall without embedding models or vector indexes). Added capability to deploy MongoDbToolset to Agent Engine without connection strings, leveraging Atlas Automated Embedding. - Performance & Stability: Execution turns for string-model agents are noted to be up to 8x faster with decreased event-loading overhead. Twelve experimental features have transitioned to stable status, and an OpenSandbox environment has been added.
可执行摘要
ADK Python v2.13.0 introduces a breaking change by switching the default telemetry schema to OpenTelemetry GenAI v2 ( otel semconv 1 44 ), dropping the call llm span. Key functional updates include fast workflow routing via TypesafeClassifier and ClassifierNode , live real-time audio interaction with barge-in support and Gemini STT/TTS, and MongoDB-backed session and non-vector memory integrations.
- Agent 实用度
- 89/100
- 可信度
- 96%
- 机器格式
- JSON + Markdown
开发者应核对什么
- Update telemetry parsing and downstream observability systems to support OpenTelemetry GenAI v2 semconv 1.44, or set ADK TELEMETRY SCHEMA VERSION OPT IN=otel semconv 1 36 to retain the legacy v1 schema.
- Remove references to the deprecated call llm span in telemetry dashboards or processing pipelines.
- Review workflow routers to consider switching from LLM-based prompting to TypesafeClassifier or ClassifierNode for reduced latency.