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High-Potential
Python

🧪 Tracely-ai: Trace-Native CI/CD for AI Agents

965 stars35 forksPython
agentagent-observabilityai-agentsci-cdclickhouseevalsevaluationllmllm-as-judgellm-evaluationllm-observabilityllm-ops
The hard part of building AI agents is not getting them to work once, but ensuring they do not break when prompts or models are updated. Tracely-ai brings traditional CI/CD concepts into the LLM space by offering a trace-native regression testing solution. Its workflow is quite clever: it automatically detects production failures, clusters them, and freezes them into hermetic test cases that can be replayed in CI at no cost. If an agent's performance regresses, it blocks the pull request. For teams struggling to quantify and test the stability of their AI workflows, this is a highly practical piece of infrastructure.