coze-loop

Why we included this project

Teams that ship AI agents to production usually end up juggling several separate tools: one for prompt tweaking, another for evaluation, a third for tracing what happens after deploy. Coze Loop tries to pull that into a single platform. It is open source, so you can run it yourself, and it covers the agent lifecycle from a visual playground for testing prompts against different LLMs, through automated evaluation that scores output on things like accuracy and compliance, to observability for tuning agents once they are live. The integration story is built around LangChain and Coze agents, so the evaluation and tracing layers fit those ecosystems rather than feeling bolted on. The open-source edition ships the core framework, which means you keep control over how prompts and agent behavior are versioned and improved instead of handing that over to a closed vendor dashboard. If you are tired of assembling a patchwork of standalone monitoring and evaluation tools, this gives you one place to iterate on agent quality.