Confident AI
DeepEval-powered LLM evaluation platform to test, benchmark, and safeguard apps
Coze Loop
Full‑life‑cycle platform for building, testing, and monitoring AI agents
Coze Loop offers developers an integrated suite for prompt engineering, automated evaluation, and end‑to‑end observability of AI agents, with Docker and Helm deployment options.
Overview
Overview
Coze Loop is a developer‑focused platform that streamlines the entire lifecycle of AI agents, from prompt creation to production monitoring. It targets engineers and teams building conversational or tool‑augmented agents who need a self‑hosted, extensible environment.
Core Capabilities
The solution provides a visual Playground for prompt debugging and version control, an evaluation engine that runs multi‑dimensional tests (accuracy, compliance, conciseness, etc.), and full observability that records each execution step, including model calls and tool usage. It supports multiple large language models such as OpenAI and Volcengine Ark via the Eino framework, and offers SDKs in three languages for trace reporting.
Deployment Options
Developers can launch Coze Loop quickly with Docker Compose or scale it in Kubernetes using the provided Helm chart. Configuration is performed by editing a simple model_config.yaml file with API keys and endpoint IDs. After deployment, the web UI is accessible locally or via an Ingress‑exposed domain.
Highlights
Playground for interactive prompt debugging and version management
Automated, multi‑dimensional evaluation of prompts and agents
SDK‑based trace reporting with end‑to‑end execution observability
Plug‑and‑play integration with OpenAI, Volcengine Ark, and other LLMs
Pros
- Free open‑source core modules lower entry barriers
- Visual tools accelerate prompt iteration and testing
- Comprehensive evaluation suite standardizes quality checks
- Supports both Docker and Kubernetes deployments
Considerations
- Advanced features from the commercial edition are not included
- Manual model configuration required for each deployment
- Kubernetes deployment assumes existing cluster and Ingress setup
- Community support and documentation are still maturing
Managed products teams compare with
When teams consider Coze Loop, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Fit guide
Great for
- AI agent developers seeking an end‑to‑end self‑hosted workflow
- Teams that need customizable model integration and traceability
- Organizations with existing Docker or Kubernetes infrastructure
- Projects that benefit from systematic prompt evaluation
Not ideal when
- Non‑technical users without development or DevOps experience
- Simple use‑cases that only require a single prompt without monitoring
- Environments lacking Docker or Kubernetes capabilities
- Teams that require a fully managed SaaS solution out of the box
How teams use it
Prompt Iteration
Developers quickly test, compare, and version prompts across multiple LLMs, reducing debugging time.
Automated Evaluation
Run batch evaluations to measure accuracy, compliance, and conciseness, generating actionable metrics for model improvement.
Production Monitoring
Capture detailed execution traces in real time, enabling rapid diagnosis of failures in live agents.
Custom Model Integration
Plug in proprietary or regional LLMs via the Eino framework and manage them through Coze Loop’s UI.
Tech snapshot
Go66%
TypeScript29%
Thrift2%
JavaScript1%
Less1%
Shell1%
Frequently asked questions
How do I configure an LLM model?
Edit `model_config.yaml` with the appropriate `api_key` and `model` endpoint for the chosen provider.
What deployment methods are supported?
Coze Loop can be deployed using Docker Compose for local development or via a Helm chart on Kubernetes.
Which large language models are compatible?
Out of the box, OpenAI and Volcengine Ark are supported, and additional models can be added through the Eino framework.
Is there a commercial SaaS version?
Yes, a commercial edition exists with extra features; the open‑source edition provides the core modules for free.
Where can I find example projects and documentation?
Examples are located in the `examples/` directory of the repository, and detailed guides are included in the developer guide.
Project at a glance
Active- Stars
- 5,264
- Watchers
- 5,264
- Forks
- 725
LicenseApache-2.0
Repo age7 months old
Last commit13 hours ago
Primary languageGo
Last synced 12 hours ago