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

# Get Agent

Retrieve details of a specific agent configuration by its ID.

<ParamField path="id" type="string" required>
  The agent ID
</ParamField>

<CodeGroup>
  ```bash cURL theme={null}
  curl -X GET https://api.artaios.ai/api/v1/agent/550e8400-e29b-41d4-a716-446655440000/ \
    -H "x-api-key: YOUR_API_KEY"
  ```

  ```python Python theme={null}
  import requests

  response = requests.get(
      "https://api.artaios.ai/api/v1/agent/550e8400-e29b-41d4-a716-446655440000/",
      headers={"x-api-key": "YOUR_API_KEY"}
  )
  agent = response.json()
  ```

  ```javascript JavaScript theme={null}
  const response = await fetch('https://api.artaios.ai/api/v1/agent/550e8400-e29b-41d4-a716-446655440000/', {
    headers: {
      'x-api-key': 'YOUR_API_KEY'
    }
  });
  const agent = await response.json();
  ```
</CodeGroup>

## Response

Returns the complete agent configuration:

```json theme={null}
{
  "id": "550e8400-e29b-41d4-a716-446655440000",
  "agent_key": "customer_support_agent",
  "name": "Customer Support Agent",
  "architecture": "llm_agent",
  "entry_point": "main",
  "is_public": false,
  "is_shared": false,
  "origin_url": null,
  "owner": "user_123",
  "company": "company_456",
  "system_config": {
    "name": "Customer Support Agent",
    "agent_type": "llm_agent",
    "system_prompt": "You are a helpful customer support agent...",
    "llm_config": {
      "model": "gpt-4o",
      "temperature": 0.7
    },
    "tools": ["tavily_search"],
    "knowledge_bases": [...]
  },
  "version_number": "1.0.0",
  "config_hash": "a1b2c3d4e5f6",
  "created_at": "2025-01-15T10:30:00Z",
  "updated_at": "2025-01-15T10:30:00Z"
}
```