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The AI agent optimization platform provides full life cycle management from development, debugging, evaluation to monitoring, helping solve various problems in AI agent development.
Cozeloop supports efficient AI agent development and operation. Whether it is prompt engineering, agent evaluation, or post-deployment monitoring and performance optimization, it provides powerful tools and intelligent support, greatly simplifying the development process and improving agent performance and stability. The main functions include: · Tips for development: Provides a complete process from writing and debugging to optimization and version management, with a visual Playground to facilitate real-time testing and comparison of the performance of different models. · Evaluation: Support systematic and multi-dimensional automated evaluation, covering indicators such as accuracy, simplicity and compliance. · Observation: Provide full-link visualization, record each step from input to output in detail, automatically capture key nodes and exceptions, and facilitate debugging and monitoring. In addition, the platform supports the integration of mainstream models such as OpenAI and Volcano Engine Ark, and functional modules cover prompt debugging, evaluation management, experiment management and data tracking, fully meeting the needs of AI agent developers. #Instructions for Use Configure model API Key: After opening the application, open the lazy cat network disk-application data-button compass, edit the runtime/model_config.yaml file, and fill in the model API key. [Check Documents](github.com/coze-dev/coze-loop/wiki/5.-% E6%A8%A1%E5%9E%8B%E9%85%8D%E7%BD%AE)

