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Update an agent

Introduced 3.1

Use this API to update an existing agent’s configuration.

Endpoints

PUT /_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 update.

Request body fields

The following table lists the available request fields. All request body fields are optional.

Field Data type Agent type Description
name String All The agent name.
description String All A description of the agent.
tools Array All A list of tools for the agent to execute.
app_type String All Specifies an optional agent category.
memory.type String conversational_flow, conversational Specifies where to store the conversational memory. Currently, the only supported type is conversation_index (store the memory in a conversational system index).
llm.model_id String conversational The model ID of the large language model (LLM) to send questions to.
llm.parameters.response_filter String conversational The pattern for parsing the LLM response.
llm.parameters.max_iteration Integer conversational The maximum number of messages to send to the LLM.

Example request: Update tool prompt

PUT /_plugins/_ml/agents/N8AE1osB0jLkkocYjz7D
{
  "name": "Updated_Test_Agent_For_RAG",
  "description": "Updated description for test agent",
  "tools": [
    {
      "type": "MLModelTool",
      "description": "Updated general tool to answer any question",
      "parameters": {
        "model_id": "NWR9YIsBUysqmzBdifVJ",
        "prompt": "This is an updated prompt"
      }
    }
  ]
}

Example response

{
    "_index": ".plugins-ml-agent",
    "_id": "ryN5jpcBfY4uTYhorKvh",
    "_version": 2,
    "result": "updated",
    "_shards": {
        "total": 1,
        "successful": 1,
        "failed": 0
    },
    "_seq_no": 1,
    "_primary_term": 1
}
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