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Tools

Introduced 2.13

A tool performs a set of specific tasks. The following table lists all tools that OpenSearch supports.

Specify a tool by providing its type, parameters, and, optionally, a description. For example, you can specify an AgentTool as follows:

{
  "type": "AgentTool",
  "description": "A general agent to answer any question",
  "parameters": {
    "agent_id": "9X7xWI0Bpc3sThaJdY9i"
  }
}

Each tool takes a list of parameters specific to that tool. In the preceding example, the AgentTool takes an agent_id of the agent it will run. For a list of parameters, see each tool’s documentation.

Tool	Description
`AgentTool`	Runs any agent.
`CatIndexTool`	Retrieves index information for the OpenSearch cluster.
`ConnectorTool`	Uses a connector to call any REST API function.
`IndexMappingTool`	Retrieves index mapping and setting information for an index.
`CreateAnomalyDetectorTool`	Enables an LLM to suggest required parameters for creating an anomaly detector.
`MLModelTool`	Runs machine learning models.
`NeuralSparseSearchTool`	Performs sparse vector retrieval.
`PPLTool`	Translates natural language into a Piped Processing Language (PPL) query.
`RAGTool`	Uses neural search or neural sparse search to retrieve documents and integrates a large language model to summarize the answers.
`SearchAlertsTool`	Searches for alerts.
`SearchAnomalyDetectorsTool`	Searches for anomaly detectors.
`SearchAnomalyResultsTool`	Searches anomaly detection results generated by anomaly detectors.
`SearchIndexTool`	Searches an index using a query written in query domain-specific language (DSL).
`SearchMonitorsTool`	Searches for alerting monitors.
`VectorDBTool`	Performs dense vector retrieval.
`VisualizationTool`	Finds visualizations in OpenSearch Dashboards.

Developer information

The agents and tools framework offers flexibility and extensibility. See the tools library for OpenSearch-provided tools. Implement the Tool interface to build custom tools for different use cases.