Foglamp
Trace AI-agent calls and track costs, latency, and response quality.
Record agent execution, replay failures, and compare fixes before release.

Retrace records model calls, tool activity, costs, and errors from AI agents through Python and TypeScript SDKs. Developers can inspect an execution timeline, replay a recorded run, or branch from the step where behavior went wrong. Changing a prompt, input, or model then produces a new path that can be compared with the original.
The platform turns recorded failures into regression checks and supports evaluation gates in continuous integration. Runtime controls can limit budgets, repeated loops, or execution steps, while multi-agent views expose relationships between sessions. Its fix-verification workflow reports whether a change improved, worsened, or left the evaluated behavior unchanged.
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