Link Search Menu Expand Document Documentation Menu

Get an agent

Introduced 2.13

You can retrieve agent information using the agent_id.

Endpoints

GET /_plugins/_ml/agents/<agent_id>

Path parameters

The following table lists the available path parameters.

Parameter Data type Description
agent_id String The agent ID of the agent to retrieve.

Example request

GET /_plugins/_ml/agents/N8AE1osB0jLkkocYjz7D

Example response

{
  "name": "Test_Agent_For_RAG",
  "type": "flow",
  "description": "this is a test agent",
  "tools": [
    {
      "type": "VectorDBTool",
      "parameters": {
        "input": "${parameters.question}",
        "source_field": """["text"]""",
        "embedding_field": "embedding",
        "index": "my_test_data",
        "model_id": "zBRyYIsBls05QaITo5ex"
      },
      "include_output_in_agent_response": false
    },
    {
      "type": "MLModelTool",
      "description": "A general tool to answer any question",
      "parameters": {
        "model_id": "ygAzT40Bdo8gePIqxk0H",
        "prompt": """

Human:You are a professional data analyst. You will always answer question based on the given context first. If the answer is not directly shown in the context, you will analyze the data and find the answer. If you don't know the answer, just say don't know. 

 Context:
${parameters.VectorDBTool.output}

Human:${parameters.question}

Assistant:"""
      },
      "include_output_in_agent_response": false
    }
  ],
  "created_time": 1706821658743,
  "last_updated_time": 1706821658743
}

Response body fields

For response field descriptions, see Register Agent API request fields.

350 characters left

Have a question? .

Want to contribute? or .