Framework coverage - Atlan Documentation

Coverage describes the delivery contract, not every version of a third-party package. Use this page to find the recommended tracing path for a framework or library, then follow its guide.

Level	Meaning
Certified	An executable atlanai SDK test covers the adapter contract
Compatible	The integration emits OpenTelemetry or uses a stable callback contract consumed by a supported path
Manual	Wrap the framework boundary explicitly

Tracing libraries

Integration	Level	Recommended path
OpenTelemetry	Certified	Shared provider, Atlan processor, or OTLP
Temporal	Compatible	OpenTelemetry or direct OTLP
Vercel AI SDK	Certified	`wrapAISDK` or `aiTelemetry`
OpenRouter SDK	Compatible	Python auto-instrumentation or manual boundary
LangChain	Certified	Python `CallbackHandler`; OpenTelemetry for other runtimes
LangChain4j	Compatible	Direct OTLP
LangSmith	Manual	`traced` or `wrapTraced`
LlamaIndex	Compatible	Python auto-instrumentation or OpenTelemetry
Agno	Compatible	Python auto-instrumentation or OpenTelemetry
Apollo GraphQL	Compatible	OpenTelemetry
Cloudflare Workers AI	Compatible	OpenTelemetry or manual boundary
DSPy	Compatible	Python auto-instrumentation or OpenTelemetry
Instructor	Compatible	Python auto-instrumentation or OpenTelemetry
LiteLLM	Compatible	Python auto-instrumentation or OpenTelemetry
Ruby LLM	Compatible	Direct OTLP or manual boundary
Spring AI	Compatible	Direct OTLP
Traceloop	Compatible	Shared OpenTelemetry provider or direct OTLP
TrueFoundry	Compatible	Shared OpenTelemetry provider or direct OTLP

Agent frameworks

Integration	Level	Recommended path
OpenAI Agents SDK	Compatible	Python auto-instrumentation with `opentelemetry-instrumentation-openai-agents`
Claude Agent SDK	Manual	`traced` or `wrapTraced`
Pi Coding Agent	Manual	`traced` or `wrapTraced`
Deep Agents	Compatible	LangChain callback
LangGraph	Certified	Python `CallbackHandler`
CrewAI	Compatible	Python auto-instrumentation or OpenTelemetry
AutoGen	Compatible	OpenTelemetry
AgentScope	Compatible	Python auto-instrumentation or OpenTelemetry
Google ADK	Compatible	Native OpenTelemetry, no instrumentor
LiveKit Agents	Compatible	Python auto-instrumentation or OpenTelemetry
Mastra	Compatible	OpenTelemetry
Pipecat	Compatible	Python auto-instrumentation or OpenTelemetry
Pydantic AI	Compatible	Native OpenTelemetry through `Agent.instrument_all()`
Strands	Compatible	Python auto-instrumentation or OpenTelemetry
Cloudflare Agents	Compatible	OpenTelemetry or manual boundary
Cloudflare AI Chat	Compatible	`wrapAISDK` or `aiTelemetry`

Run one representative request after every framework or instrumentor upgrade. Confirm the root, provider call, tool calls, usage, and expected parent relationships in Agent Registry before promoting the build.

Evaluation trace joins

Third-party spans created inside an Eval task inherit atlan.eval.experiment_id, atlan.eval.case_id, and, for a dataset-backed case, atlan.eval.dataset_record_id from the active context. The experiment result then stores the root trace_id of the case. Bench filters use the experiment attribute, and case drill-down uses the result-to-trace join. If you run your own harness, execute it inside run.trace() in Python or propagateAttributes(run.traceOptions, fn) in TypeScript. Flush and verify the traces, upload complete result rows with their numeric score snapshots, then mark the experiment completed with one update. Read the returned experiment’s summary; no separate summarize request is needed.

​Tracing libraries

​Agent frameworks

​Evaluation trace joins

​See also

Tracing libraries

Agent frameworks

Evaluation trace joins

See also