Add LiveKit Agents support#9
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Adds support for spans emitted by the livekit-agents Python SDK.
- src/spans/adapters/livekit.ts: extracts chat history from lk.chat_ctx
(handling message / function_call / function_call_output items) and
tool calls from lk.function_tool.{name,arguments,output,is_error}
- src/parse.ts: classifies llm_node spans as LLM_GENERATION via
(lk.chat_ctx + gen_ai.request.model); recognizes lk.function_tool.name
as a tool-name attribute alongside ai.toolCall.name / tool.name
- src/spans/normalize.ts: registers the two adapters
LiveKit Agents sets gen_ai.provider.name (newer OTel GenAI convention) rather than the older gen_ai.system. Without this fallback the provider column stays empty for every LiveKit span.
The standard opentelemetry-exporter-otlp-proto-http exporter always sends protobuf regardless of OTEL_EXPORTER_OTLP_PROTOCOL. Workshop was warning and dropping these bodies; this decodes them via protobufjs against an inline OTLP schema and converts to the JSON shape parseOtlpRequest already consumes.
Hormold
marked this pull request as ready for review
May 15, 2026 16:23
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Thank you for the PR! Included the changes into this release: https://github.com/raindrop-ai/workshop/releases/tag/v0.1.7 |
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Adds support for ingesting traces from the LiveKit Agents Python SDK.
What's added
src/spans/adapters/livekit.ts— turnslk.chat_ctxinto a chat-history view forllm_nodespans andlk.function_tool.*into tool-call data.src/parse.ts— classifies LiveKitllm_nodeasLLM_GENERATION(vialk.chat_ctx+gen_ai.request.model), picks uplk.function_tool.name, and recognizesgen_ai.provider.name.src/otlp-protobuf.ts— decodes protobuf OTLP requests so the stockopentelemetry-exporter-otlp-proto-httpexporter works directly. Workshop used to silently drop protobuf bodies.How to wire it up
Screenshots