Vibe Coding Discovercoze-loop
View on GitHubNext-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.
Coze Loop is a self-hosted LLMOps platform for AI agent teams: visual prompt playground with versioning, automated multi-dimensional evaluation of prompts and agents, and trace-based observability. Ships SDKs and supports OpenAI and Volcengine Ark models via Eino; deploy with Docker Compose or Helm. Go backend, Apache-
Use Cases
Debug and compare prompts across LLMs in a visual playgroundVersion and manage prompt templatesBuild evaluation sets and run automated multi-dimensional evals on prompts and agentsManage evaluators and experiments for agent qualityReport and inspect execution traces of agent runsMonitor prompt parsing, model calls, and tool execution in productionIntegrate observability SDKs (Go/Java/Python) into agent appsDeploy a self-hosted LLMOps stack via Docker Compose or Helm
Built With
- Language
- Go
- Frameworks
- Eino · LangChain · React · Go · Docker Compose · Kubernetes · Helm · OpenTelemetry
Tags
llmops · agentops · prompt-management · prompt-versioning · evaluation · observability · tracing · playground · monitoring · ai-agents · multi-model · go · self-hosted · sdk