kolchfa-aws 3f7468b504
Add agent framework/throttling/hidden model/OS assistant and update conversational search documentation (#6354)
* Add agent framework documentation

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* Add hidden model and API updates

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* Vale error

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* Updated field names

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* Add updating credentials

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* Added tools table

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* Add OpenSearch forum thread for OS Assistant

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* Add tech review for conv search

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* Fix links

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* Add tools

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* Add links to tools

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* More info about tools

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* Tool parameters

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* Update cat-index-tool.md

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* Parameter clarification

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* Typo fix

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* More tech review feedback: RAG tool

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* Tech review feedback: memory APis

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* Update _ml-commons-plugin/agents-tools/index.md

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* Update _ml-commons-plugin/agents-tools/tools/neural-sparse-tool.md

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* Update _ml-commons-plugin/agents-tools/tools/neural-sparse-tool.md

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* Update _ml-commons-plugin/agents-tools/tools/neural-sparse-tool.md

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* Update _ml-commons-plugin/opensearch-assistant.md

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* Update _ml-commons-plugin/agents-tools/tools/ppl-tool.md

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* Apply suggestions from code review

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* Separated search and get APIs and add conversational flow agent

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* More parameters for PPL tool

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* Added more parameters

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* Tech review feedback: PPL tool

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* Apply suggestions from code review

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* Rename to automating configurations

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* Editorial comments on the new text

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* Add parameter to PPl tool

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* Changed link to configurations

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* Rate limiter feedback and added warning

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---------

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2024-02-20 12:09:31 -05:00

3.2 KiB

layout title has_children has_toc nav_order parent grand_parent
default Agent tool false false 10 Tools Agents and tools

Agent tool

Introduced 2.12 {: .label .label-purple }

This is an experimental feature and is not recommended for use in a production environment. For updates on the progress of the feature or if you want to leave feedback, see the associated GitHub issue.
{: .warning}

The AgentTool runs any agent.

Step 1: Set up an agent for AgentTool to run

Set up any agent. For example, set up a flow agent that runs an MLModelTool by following the steps in the ML Model Tool documentation and obtain its agent ID from Step 3:

{
  "agent_id": "9X7xWI0Bpc3sThaJdY9i"
}

Step 2: Register a flow agent that will run the AgentTool

A flow agent runs a sequence of tools in order and returns the last tool's output. To create a flow agent, send the following register agent request, providing the agent ID from the previous step:

POST /_plugins/_ml/agents/_register
{
  "name": "Test agent tool",
  "type": "flow",
  "description": "this is a test agent",
  "tools": [
    {
      "type": "AgentTool",
      "description": "A general agent to answer any question",
      "parameters": {
        "agent_id": "9X7xWI0Bpc3sThaJdY9i"
      }
    }
  ]
}

{% include copy-curl.html %}

For parameter descriptions, see Register parameters.

OpenSearch responds with an agent ID:

{
  "agent_id": "EQyyZ40BT2tRrkdmhT7_"
}

Step 3: Run the agent

Run the agent by sending the following request:

POST /_plugins/_ml/agents/EQyyZ40BT2tRrkdmhT7_/_execute
{
  "parameters": {
    "question": "what's the population increase of Seattle from 2021 to 2023"
  }
}

{% include copy-curl.html %}

OpenSearch returns the inference results:

{
  "inference_results": [
    {
      "output": [
        {
          "name": "response",
          "result": " I do not have direct data on the population increase of Seattle from 2021 to 2023 in the context provided. As a data analyst, I would need to research population statistics from credible sources like the US Census Bureau to analyze population trends and make an informed estimate. Without looking up actual data, I don't have enough information to provide a specific answer to the question."
        }
      ]
    }
  ]
}

Register parameters

The following table lists all tool parameters that are available when registering an agent.

Parameter Type Required/Optional Description
agent_id String Required The agent ID of the agent to run.

Execute parameters

The following table lists all tool parameters that are available when running the agent.

Parameter Type Required/Optional Description
question String Required The natural language question to send to the LLM.