Trace Collection Pipeline
LangChain's observability platform — distributed tracing, dataset curation, evaluation suites, and the prompt playground, for LangChain and framework-agnostic apps alike.
Animate: Trace Collection Pipeline
Step through the flow one stage at a time and watch the data move.
Reading LangSmith is free. Pro unlocks the other four modes on all AI Observability & Evals topics, so you can go from understanding it to building it.
- SeeThe architecture as diagrams, so you can hold the whole system in your head.
- AnimateStep through the flow one stage at a time and watch the data move.
- TestScenario questions with explanations that show exactly where your model of it breaks.
- BuildA guided implementation with code you can run and adapt for production.
Continue reading
All AI Observability articles →LLM Evaluation Frameworks Compared
Promptfoo, DeepEval, RAGAS, LangSmith and Phoenix compared by what each is good at, with working examples and a way to choose.
Offline Evals: The Regression Suite for LLM Features
Build an evaluation dataset from real use, pick the cheapest grader that works, measure the noise floor, and turn the suite into a release gate.
Token Tracking and Cost Management
Monitor token usage and costs — per-request tracking, budgets, cost allocation across teams, and the optimization strategies that shrink the bill.
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