Langfuse
Trace AI requests, inspect individual agent steps, and evaluate prompt or model changes against a dataset.
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About this product
Langfuse lets teams inspect how an AI application produced an answer. A trace can show model calls, tool calls, and other steps in one interaction. This makes it easier to see whether a bad result started with retrieval, a tool response, or the model’s final reply.
Teams can version prompts and run experiments on saved datasets. Langfuse offers a free cloud tier for small projects, with usage limits and access to older traces. You can also self-host the open-source platform and manage its infrastructure yourself.
Pick a small set of failed requests with sensitive details removed. Run them against the current prompt and one proposed revision. Compare the success rate and latency, then inspect the traces for cases that got worse. Decide what inputs and outputs you need to log before connecting live traffic.
Features
- Application and agent tracing
- Latency and token tracking
- Prompt versioning
- Evaluation datasets and experiments
- Cloud and self-hosted deployment
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