coze-loop: a full-lifecycle management platform for developing, evaluating, and monitoring AI agents

What it solves

Coze Loop is designed to streamline the development and operation of AI agents. It addresses the complexities of the agent lifecycle, providing a centralized platform for prompt engineering, systematic evaluation, and post-deployment monitoring to ensure stability and performance.

How it works

The platform provides a suite of tools that manage the AI agent lifecycle:

• Prompt Development: A visual Playground allows developers to write, debug, and version-manage prompts while comparing outputs across different LLMs in real-time.
• Evaluation: An automated engine enables multi-dimensional testing of agent outputs based on accuracy, conciseness, and compliance using managed evaluation sets.
• Observability: An SDK-based tracing system records the entire execution flow—from user input to final output—capturing intermediate results, model invocations, and tool executions.

Who it’s for

It is built for developers who are building AI agents and need a professional environment for iterative prompt tuning, automated testing, and operational observability.

Highlights

• Full Lifecycle Management: Covers everything from initial prompt drafting to production monitoring.
• Visual Playground: Real-time interactive testing and LLM comparison.
• Automated Evaluation: Systematic testing of prompts and agent outputs.
• Multi-Model Support: Integrates with OpenAI, Volcengine Ark, and other models via the Eino framework.
• SDK Tracing: Detailed observability into the internal execution process of agents.