# CozeLoop — AI Agent Observability and Optimization Platform

> CozeLoop is an open-source platform for monitoring, evaluating, and optimizing AI agents throughout their lifecycle. It provides tracing, prompt management, evaluation datasets, and real-time analytics for LLM-powered applications.

## Install

Save as a script file and run:

# CozeLoop — AI Agent Observability and Optimization Platform

## Quick Use
```bash
pip install cozeloop

# Initialize tracing in your Python app
from cozeloop import init
init(api_key="your-api-key", workspace_id="your-workspace")

# Trace a function
from cozeloop import trace
@trace(name="my_agent")
def run_agent(query):
    return llm.complete(query)
```

## Introduction
CozeLoop is an open-source AI agent optimization platform that addresses the core challenges of developing, debugging, and monitoring LLM-powered applications. It provides end-to-end observability through distributed tracing, prompt version management, evaluation pipelines, and real-time performance dashboards. CozeLoop integrates with popular frameworks like LangChain, LlamaIndex, and custom agent implementations.

## What CozeLoop Does
- Traces LLM calls, tool invocations, and agent decision paths with span-level detail
- Manages prompt templates with versioning, A/B testing, and rollback capabilities
- Runs evaluation pipelines with customizable metrics across datasets
- Provides real-time dashboards for latency, token usage, cost, and error tracking
- Supports both cloud-hosted and self-hosted deployment modes

## Architecture Overview
CozeLoop follows an OpenTelemetry-compatible architecture with a collector service that ingests trace spans from instrumented applications. The backend stores traces, prompts, and evaluation results in a structured database. A web dashboard provides query, visualization, and management interfaces. Client SDKs for Python and Go handle automatic instrumentation of LLM providers, with decorator-based tracing for custom functions.

## Self-Hosting & Configuration
- Install the Python SDK with `pip install cozeloop` or the Go SDK via `go get`
- Set `COZELOOP_API_KEY` and `COZELOOP_WORKSPACE_ID` environment variables
- Use decorators (`@trace`) or context managers to instrument agent functions
- Deploy the self-hosted backend with Docker Compose for full data control
- Configure sampling rates and export destinations through SDK initialization

## Key Features
- Distributed tracing that captures the full agent execution graph including nested tool calls
- Prompt playground for iterating on templates with side-by-side comparison
- Dataset-driven evaluation with built-in and custom scoring functions
- Cost tracking across multiple LLM providers with per-request attribution
- OpenTelemetry-compatible exports for integration with existing observability stacks

## Comparison with Similar Tools
- **Langfuse** — Similar LLM observability focus; CozeLoop adds deeper agent lifecycle management
- **LangSmith** — Proprietary LangChain tool; CozeLoop is open-source and framework-agnostic
- **Helicone** — Proxy-based LLM logging; CozeLoop provides SDK-based tracing with richer context
- **Phoenix** — Focused on ML model observability; CozeLoop targets LLM agent workflows specifically
- **OpenLIT** — OpenTelemetry-native; CozeLoop includes built-in prompt management and eval pipelines

## FAQ
**Q: Does CozeLoop require a specific LLM framework?**
A: No. CozeLoop works with any Python or Go application. It provides integrations for LangChain and LlamaIndex but does not require them.

**Q: Can I self-host CozeLoop?**
A: Yes. CozeLoop offers a Docker-based self-hosted deployment for teams that need full control over their data.

**Q: What data does CozeLoop collect?**
A: CozeLoop traces capture input/output text, latency, token counts, model parameters, and custom metadata. You control what is logged via SDK configuration.

**Q: Is CozeLoop free to use?**
A: The core platform and SDKs are open source. A managed cloud option is also available.

## Sources
- https://github.com/coze-dev/coze-loop
- https://www.coze.com/

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Source: https://tokrepo.com/en/workflows/asset-289eb48b
Author: Script Depot