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

# Get Agent Detail

> Returns details for a specific agent

### Path Parameters

<ParamField path="agent_id" type="string" required>
  The unique agent identifier (e.g., `researcher-agent`).
</ParamField>

### Response

<ResponseField name="agent_id" type="string">Unique identifier</ResponseField>
<ResponseField name="name" type="string">Human-readable name</ResponseField>
<ResponseField name="framework" type="string">Detected framework</ResponseField>
<ResponseField name="role" type="string">Agent role/purpose</ResponseField>
<ResponseField name="model" type="string">LLM model used</ResponseField>
<ResponseField name="tools_observed" type="array">List of tool names this agent has used</ResponseField>
<ResponseField name="system_prompt_hash" type="string">SHA-256 hash of the system prompt (first 16 hex chars)</ResponseField>
<ResponseField name="run_count" type="integer">Number of distinct runs</ResponseField>
<ResponseField name="observation_count" type="integer">Total spans observed</ResponseField>
<ResponseField name="maturity" type="string">`LEARNING` (\< 10 observations) or `MATURE` (>= 10)</ResponseField>
<ResponseField name="first_seen" type="string">ISO-8601 timestamp</ResponseField>
<ResponseField name="last_seen" type="string">ISO-8601 timestamp</ResponseField>

<ResponseExample>
  ```json 200 theme={"dark"}
  {
    "agent_id": "researcher-agent",
    "name": "Researcher",
    "framework": "langchain",
    "role": "Research and analysis",
    "model": "gpt-4o",
    "tools_observed": ["search_documents", "fetch_url", "write_file"],
    "system_prompt_hash": "a1b2c3d4e5f67890",
    "run_count": 15,
    "observation_count": 234,
    "maturity": "MATURE",
    "first_seen": "2026-03-15T10:30:00Z",
    "last_seen": "2026-03-17T14:22:00Z"
  }
  ```
</ResponseExample>