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IntegrationsIntegrations

Integrations

Choose the smallest Noveum Trace integration for your application stack.

Instrument the complete application boundary and the model, retrieval, tool, and agent operations inside it. Use a framework adapter when one matches the application. Use the Python context managers for custom code or unsupported frameworks.

Choose an integration

ApplicationIntegrationStart here
Custom Python or provider clientContext managers for explicit trace and span boundariesCustom Python
LangChainRuntime callback handler on the top-level runnableLangChain
LangGraphRuntime callback handler on the compiled graphLangGraph
CrewAIGlobal event listenerCrewAI
LiveKit AgentsSession tracing with optional STT and TTS wrappersLiveKit
PipecatPipeline observer and task handlersPipecat

Every guide assumes the application and its framework already run correctly. Add only the tracing package and adapter code; do not replace provider, framework, or transport configuration that already works.

Shared requirements

Configure these values before starting instrumented work:

VariablePurpose
NOVEUM_API_KEYAuthenticates trace delivery for the organization.
NOVEUM_PROJECTGroups traces for one application or agent.
NOVEUM_ENVIRONMENTSeparates production, staging, development, and other traffic.
NOVEUM_SERVICE_VERSIONIdentifies the prompt, model, tool, retrieval, and routing behavior that produced the trace.

Review payload capture before enabling tracing in production. Prompts, model output, retrieval context, tool arguments, transcripts, and audio can contain personal, regulated, or confidential data. Never send credentials, authorization headers, or private keys.

Verify before evaluation

Run representative successful, failed, tool-using, and retrieval-heavy requests. Confirm that each trace covers the complete execution and contains the evidence required by the capture contract.

For the underlying API, use the Python SDK reference. For applications that cannot run Python, use REST trace ingestion.