Cozeloop is an open-source platform designed for the full-lifecycle management of AI agents, targeting developers who build, debug, evaluate, and monitor these agents. It simplifies complex development workflows, offering tools for prompt engineering, systematic evaluation, and detailed observation of agent execution, ultimately aiming to improve agent performance and stability.

How It Works

Cozeloop provides a modular approach to AI agent development. Its core features include a visual Playground for prompt debugging and version management, an evaluation module for multi-dimensional automated testing of agent outputs against defined metrics, and an observation system that records and visualizes the entire execution chain from user input to AI output. This allows for detailed analysis of intermediate results and error states.

Quick Start & Requirements

• Install: Clone the repository (git clone https://github.com/coze-dev/coze-loop.git), navigate into the directory (cd coze-loop), configure model API keys and endpoints in conf/default/app/runtime/model_config.yaml, and start the service using docker compose up --build.
• Prerequisites: Docker and Docker Compose must be installed and running. API keys and endpoint configurations for supported LLMs (e.g., Volcengine Ark, OpenAI) are required.
• Access: The open-source edition is accessible via http://localhost:8082.
• Docs: Refer to the Quick Start section in the README for detailed instructions.

Highlighted Details

• Supports prompt development, debugging, version management, and comparison across different LLMs.
• Offers systematic evaluation capabilities with managed evaluation sets, evaluators, and experiment statistics.
• Provides visual observation of the full agent execution chain, recording key processing steps and intermediate results.
• Integrates with models like OpenAI and Volcengine Ark via the Eino framework.

Maintenance & Community

The project welcomes community contributions and provides guidelines for participation. Technical discussions and updates are available via a Lark Group Chat, Discord Server, and Telegram Group. Security issues should be reported privately.

Licensing & Compatibility

This project is licensed under the Apache 2.0 license, which generally permits commercial use and integration with closed-source projects.

Limitations & Caveats

The README focuses on the open-source edition's capabilities, with advanced features potentially reserved for a commercial version. Configuration requires manual editing of YAML files and understanding of LLM API key management.