Coze Loop

Coze Loop is an open-source, developer-oriented platform for building and operating AI agents, published under the coze-dev organization on GitHub. It offers prompt development, evaluation, and observability modules, and is released under the Apache 2.0 license. It is derived from a commercial version, with the open-source edition giving access to core modules.

What It Is

Coze Loop covers the AI agent lifecycle from development and debugging through evaluation to monitoring. Developers can self-host it, then customize and extend it to fit their own business needs. The repository describes it as a next-generation AI agent optimization platform.

Prompt Development and Evaluation

The prompt module provides a visual Playground for writing, debugging, and version-managing prompts, with real-time interactive testing and side-by-side comparison of output from different LLMs. The evaluation module supports managing evaluation sets, evaluators, and experiments. It enables automated multi-dimensional testing of prompts and Coze agent output on dimensions such as accuracy, conciseness, and compliance.

Observability and Tracing

The platform records the execution path from user input to AI output, including prompt parsing, model invocation, and tool execution. It automatically captures intermediate results and exceptions. Traces can be reported through SDKs, which are documented for three languages and work with both the commercial and open-source editions.

Deployment and Model Setup

The open-source edition can be deployed with Docker Compose or on Kubernetes using a Helm chart. Models are configured in a YAML file, with Volcengine Ark as the documented example, and the README says OpenAI and other models are supported through the Eino framework. The README advises assessing security risks before exposing a deployment on a public network.