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Showing content from https://docs.opensearch.org/docs/latest/ml-commons-plugin/agents-tools/tools/search-index-tool/ below:

Search Index tool - OpenSearch Documentation

Introduced 2.13

The SearchIndexTool searches an index using a query written in query domain-specific language (DSL) and returns the query results.

A flow agent runs a sequence of tools in order and returns the last toolâs output. To create a flow agent, send the following register agent request:

POST /_plugins/_ml/agents/_register
{
  "name": "Test_Agent_For_Search_Index_Tool",
  "type": "flow",
  "description": "this is a test for search index tool",
  "memory": {
    "type": "demo"
  },
  "tools": [
    {
      "type": "SearchIndexTool"
    }
  ]
}

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OpenSearch responds with an agent ID:

{
  "agent_id": "9X7xWI0Bpc3sThaJdY9i"
}

Step 2: Run the agent

Before you run the agent, make sure that you add the sample OpenSearch Dashboards Sample eCommerce orders dataset. To learn more, see Adding sample data.

Then, run the agent by sending the following request. The SearchIndexTool takes one parameter named input. This parameter includes the index name and the query:

POST /_plugins/_ml/agents/9X7xWI0Bpc3sThaJdY9i/_execute
{
  "parameters": {
    "input": "{\"index\": \"opensearch_dashboards_sample_data_ecommerce\", \"query\": {\"size\": 20,  \"_source\": \"email\"}}"
  }
}

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For parameter descriptions, see Execute parameters.

The query passed in the previous request is equivalent to the following query:

GET opensearch_dashboards_sample_data_ecommerce/_search
{
  "size": 20,
  "_source": "email"
}

OpenSearch returns the query results:

{
  "inference_results": [
    {
      "output": [
        {
          "name": "response",
          "result": """{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"eddie@underwood-family.zzz"},"_id":"_bJVWY0BAehlDanXJnAJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"mary@bailey-family.zzz"},"_id":"_rJVWY0BAehlDanXJnAJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"gwen@butler-family.zzz"},"_id":"_7JVWY0BAehlDanXJnAJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"diane@chandler-family.zzz"},"_id":"ALJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"eddie@weber-family.zzz"},"_id":"AbJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"diane@goodwin-family.zzz"},"_id":"ArJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"oliver@rios-family.zzz"},"_id":"A7JVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"abd@sutton-family.zzz"},"_id":"BLJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"wilhemina st.@tran-family.zzz"},"_id":"BbJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"rabbia al@baker-family.zzz"},"_id":"BrJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"rabbia al@romero-family.zzz"},"_id":"B7JVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"eddie@gregory-family.zzz"},"_id":"CLJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"sultan al@pratt-family.zzz"},"_id":"CbJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"eddie@wolfe-family.zzz"},"_id":"CrJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"sultan al@thompson-family.zzz"},"_id":"C7JVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"sultan al@boone-family.zzz"},"_id":"DLJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"george@hubbard-family.zzz"},"_id":"DbJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"boris@maldonado-family.zzz"},"_id":"DrJVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"yahya@rivera-family.zzz"},"_id":"D7JVWY0BAehlDanXJnEJ","_score":1.0}
{"_index":"opensearch_dashboards_sample_data_ecommerce","_source":{"email":"brigitte@morris-family.zzz"},"_id":"ELJVWY0BAehlDanXJnEJ","_score":1.0}
"""
        }
      ]
    }
  ]
}

Execute parameters

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

Parameter Type Description input String The index name and the query to use for search, in JSON format. The index parameter contains the name of the index and the query parameter contains the query formatted in Query DSL. For example, "{\"index\": \"opensearch_dashboards_sample_data_ecommerce\", \"query\": {\"size\": 22, \"_source\": \"category\"}}". The input parameter and the index and query parameters it contains are required.

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