Tracely

Tracely is an LLM observability and AI agent evaluation tool that turns production failures into regression tests.

Tracely is an LLM observability and AI agent evaluation platform designed to trace AI agents, grade runs, and block pull requests that reintroduce production failures. It streams production runs over OTLP, applies online evaluators to grade each trace, clusters failures into named issues, and freezes failing traces into hermetic cases with bundled fixtures. Developers can replay these cases in CI at zero model cost to prevent regressions. The platform supports auto-instrumentation for OpenAI, Anthropic, LangChain, LangGraph, and LiteLLM, and operates as an MCP server for editors like Claude Code and Cursor. It is available as a self-hosted MIT-licensed solution or via hosted plans including Free and Team tiers.

Tracely at a glance

Best for: Software engineer
Runs on: Web, API, self-hosted
Pricing: Free plan; Team plan; Self-host available
Released: June 2026
Category: AI coding tool
Website: tracely-ai.com

Key features

Trace AI agents via OTLP streaming
Grade runs with online LLM evaluators
Cluster structural and semantic failures
Freeze failing traces into hermetic cases
Replay test suites in CI at zero cost
Integrate with editors via MCP server
Instrument apps in two lines of code
Calibrate judges against human review

Use it for

Trace and grade AI agent runs in production
Turn production failures into CI regression tests
Replay agent conversations as visual scenes
Analyze trends, correlations, and outliers
Debug failing traces directly from an editor

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