LangChain tracing & monitoring
Trace LangChain chains, agents, and tool calls in PromptLayer via OpenTelemetry. Full span trees, cost analytics, and eval pipelines — no SDK rewrite.
Trace every LangChain run
Full span traces
See the complete execution tree of every LangChain run — nested spans, tool calls, and LLM requests on one timeline.
Cost & latency analytics
Track token usage, cost, and latency for every LangChain call, broken down by model, prompt, or metadata.
Rich metadata & search
Tag, score, and search every request. Filter production traffic by content, model, status, or custom key-value pairs.
OpenTelemetry-native
LangChain streams traces straight to PromptLayer's OTLP endpoint — no proxy in your request path, no SDK rewrite.
Debug in the playground
Open any LangChain trace in the Playground to reproduce, tweak, and fix the exact prompt that failed.
Turn traces into evals
Promote real LangChain runs into versioned datasets and run evaluation pipelines to catch regressions.
Understand what your LangChain app is doing
LangChain composes complex chains and agents. PromptLayer captures each step as a span, so you can debug exactly where a chain went wrong.
See the full picture
Every LangChain run becomes a searchable, replayable trace — inputs, outputs, models, and timing.
Find the bottleneck
Pinpoint the slow span or expensive model call dragging down your LangChain pipeline.
Catch failures fast
Surface errors, failed tool calls, and low-quality outputs before your users do.
Ship with confidence
Connect traces to evaluation pipelines so every change to your LangChain app is tested.
Frequently asked questions
If you still have questions feel free to contact us at sales@promptlayer.com