> ## Documentation Index
> Fetch the complete documentation index at: https://penseapp.vercel.app/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Point the Calibrate CLI at an existing agent over HTTP or WebSocket

Instead of defining an agent inside Calibrate, you can point the CLI at an agent you've already deployed. Pick the connection type that matches your agent:

<CardGroup cols={2}>
  <Card title="Chat agent" icon="message" href="/docs/cli/agent-connections/chat">
    Standard HTTP chat, including OpenAI-compatible APIs, for evaluating the
    agent's logic
  </Card>

  <Card title="Outbound voice agent" icon="phone-arrow-up-right" href="/docs/cli/agent-connections/outbound-voice">
    End-to-end evaluation by simulating real audio calls with the agent
  </Card>
</CardGroup>

## Verify your connection

Confirm Calibrate can verify your agent is reachable and returns the correct response format before running any evaluation.

**Chat agent** — checks the agent's reachability and the correctness of its response format. It sends a sample request to the agent and expects a JSON response with at least one of `response` or `tool_calls`:

```bash theme={null}
calibrate-agent simulations --verify --agent-url https://your-agent.example.com/chat \
  --agent-headers '{"Authorization": "Bearer YOUR_API_KEY"}'
```

**Outbound voice agent** — Calibrate opens the WebSocket and confirms the handshake automatically before each voice run. This is a reachability check only and does not confirm whether the frame protocol or serializer is compatible.

<Note>
  Pass `--skip-verify` to a run to bypass the pre-run connection check, which
  can useful when you've already verified the agent and don't want to run the
  check again.
</Note>