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Found in live LiveKit Cloud voice calls: - Recalling in on_user_turn_completed changed the turn context, so LiveKit discarded its preemptive generation on every turn with memory. SupermemoryAgent now recalls only in llm_node, and uses the turn hook only for realtime models, which skip llm_node. - A turn with no memory recalled twice (hook, then llm_node), and tool follow-ups recalled again. Each user message is now recalled once; retries and follow-ups share the result. - A preloaded profile made llm_node skip recall for the rest of the call. Fresh recall now replaces the earlier injection. - remember used the default dynamic dreaming, so an explicit fact took about 18 minutes to become recallable. It now uses instant (~40s). The call transcript mode is configurable via capture_dreaming. - recall_timeout defaults to 2s; profile calls measured 0.5-1.4s. - Require livekit-agents>=1.3.6: AgentServer (used in the quick start) arrived in 1.3.1, and 1.3.1-1.3.5 no longer import with current opentelemetry-sdk. |
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| docs-test | ||
| hooks | ||
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| livekit-sdk-python | ||
| memory-graph | ||
| openai-sdk-python | ||
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