Thanks — I’ll answer both questions directly. 1) Observability for realtime models LiveKit provides built-in Agent Observability in the Cloud Dashboard: synchronized session playback (audio + transcript), a trace view with pipeline events and timings (LLM, TTS, end-of-turn, etc.), and transcripts/logs with inline alerts. It works with realtime providers like OpenAI Realtime and Gemini Live when enabled. To use it enable observability in your Project’s Data & privacy settings and record sessions (SDKs: Python v1.3+ or Node v1.0.18+). If you want trace export, LiveKit can integrate with tools like LangFuse or OpenTelemetry for additional tracing. 2) Managing token growth / context compression LiveKit does not provide a zero‑config summarization middleware like LangChain’s built-in summarizer. However, you can implement the same behavior because LiveKit gives you programmatic access to conversation state and events: • You can read and modify the

ChatContext

(message history) in your agent code and trim or replace old turns with summaries before sending context to the realtime model. • Use Realtime events (e.g., conversation item created, response.done) to trigger summarization logic and call the modify API to update server-side conversation state. • Use TaskGroup APIs to structure conversations into discrete tasks and optionally summarize/condense context after each task to prevent unbounded token growth. • Optionally export traces to LangFuse/OpenTelemetry while developing a summarization strategy to measure Time to First Token improvements. If you’d like, I can: • Sketch a small summarization flow tailored to OpenAI Realtime (sample event hooks + when to call summarizer + how to modify

ChatContext

), or • Suggest thresholds (by number of messages or tokens) and where to insert summaries in the pipeline. Which would you prefer — a short code sketch for OpenAI Realtime, or recommended thresholds and flow? Sources: https://blog.livekit.io/streamline-troubleshooting-with-agent-observability/#/portal/signup| | Realtime model plugins | LiveKit Docs | examples/voice_agents | livekit/livekit_composite | DeepWiki | Tasks and task groups | LiveKit docs | Observability data hooks | LiveKit docs