> ## Documentation Index
> Fetch the complete documentation index at: https://developers.agentx.so/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Evaluate, monitor, and gate AI agents in production

AgentX is a platform for testing and observing AI agents. It lets you:

* **Record production traces** from any framework (LangChain, CrewAI, OpenAI Agents, Anthropic, plain Python) and see them in the Live Traces tab.
* **Evaluate agent quality** against test datasets — scoring responses with LLM judges, vector similarity, and Jaccard similarity.
* **Gate releases with CI/CD** — block merges or deploys when your agent's pass rate drops below a threshold.

<CardGroup cols={2}>
  <Card title="Quickstart" icon="bolt" href="/quickstart">
    Send your first trace in under 5 minutes
  </Card>

  <Card title="Python SDK" icon="python" href="/sdk/overview">
    Decorator and context manager tracing
  </Card>

  <Card title="CI/CD Evaluation" icon="circle-check" href="/sdk/ci-cd">
    Gate releases with eval test sets
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference/tracing/submit-trace">
    REST endpoints for direct integration
  </Card>
</CardGroup>

***

## How it works

```
Your agent (LangChain, CrewAI, etc.)
        │
        │  agentx-python SDK
        ▼
POST /api/v1/ingest/traces
        │
        ├── Live Traces tab  ──► evaluate against datasets
        │
        └── CI/CD gate  ──► PASS / FAIL ──► block or merge PR
```

AgentX sits **outside** your agent — there is no prompt injection and no changes to your agent's logic. The SDK wraps your agent function with a single decorator or context manager.

***

## Base URL

```
https://api.agentx.so
```

All API paths in this documentation are relative to this base URL.