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Publish agent builder docs
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‎solutions/search/agent-builder/a2a-server.md‎

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# Agent-to-Agent (A2A) server
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The [**Agent-to-Agent (A2A) server**](https://github.com/a2aproject/A2A) enables external A2A clients to communicate with {{agent-builder}} agents.

‎solutions/search/agent-builder/agent-builder-agents.md‎

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# {{agent-builder}}: Agents
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Agents are AI models (LLMs) defined with custom instructions and a set of assigned [tools](tools.md). Users [chat](chat.md) with agents using natural language, in the Agent Builder UI or programmatically.

‎solutions/search/agent-builder/chat.md‎

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# {{agent-builder}}: Agent Chat
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**Agent Chat** is the synchronous chat interface for natural language conversations with your [agents](agent-builder-agents.md).
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**Agent Chat** is the chat interface for natural language conversations with your [agents](agent-builder-agents.md).
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The chat GUI and programmatic interfaces enable real-time communication where you can ask questions, request data analysis, and receive immediate responses from your configured agents.
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‎solutions/search/agent-builder/get-started.md‎

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# Get started with {{agent-builder}}
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Refer to the [overview page](../elastic-agent-builder.md) for the full list of Agent Builder docs.
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Learn how to get started by enabling the {{agent-builder}} features and begin chatting with your data.
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:::::{stepper}

‎solutions/search/agent-builder/kibana-api.md‎

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# Work with {{agent-builder}} using the APIs
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This page provides a quick overview of the main Kibana API endpoints for {{agent-builder}}. For complete details including all available parameters, request/response schemas, and error handling, refer to the [Kibana serverless API reference](https://www.elastic.co/docs/api/doc/serverless/group/endpoint-agent-builder).

‎solutions/search/agent-builder/limitations-known-issues.md‎

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# Limitations and known issues in {{agent-builder}}
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## Limitations

‎solutions/search/agent-builder/mcp-server.md‎

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# Model Context Protocol (MCP) server
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The [**Model Context Protocol (MCP) server**](https://modelcontextprotocol.io/docs/getting-started/intro) provides a standardized interface for external clients to access {{agent-builder}} tools.
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## MCP server endpoint

‎solutions/search/agent-builder/models.md‎

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# Using different models in {{agent-builder}}
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{{agent-builder}} uses large language models (LLMs) to power agent reasoning and decision-making. By default, agents use the Elastic Managed LLM, but you can configure other models through Kibana connectors.
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Learn more about [preconfigured connectors](https://www.elastic.co/docs/reference/kibana/connectors-kibana/pre-configured-connectors).
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#### Connect a local LLM
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You can connect a locally hosted LLM to Elastic using the OpenAI connector. This requires your local LLM to be compatible with the OpenAI API format.
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Refer to the [OpenAI connector documentation](kibana://reference/connectors-kibana/openai-action-type.md) for detailed setup instructions.
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## Connectors API
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For programmatic access to connector management, refer to the [Connectors API documentation]({{kib-serverless-apis}}group/endpoint-connectors).
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## Connect a local LLM
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You can connect a locally hosted LLM to Elastic using the OpenAI connector. This requires your local LLM to be compatible with the OpenAI API format.
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Refer to the [OpenAI connector documentation](kibana://reference/connectors-kibana/openai-action-type.md) for detailed setup instructions.
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## Related pages
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- [Limitations and known issues](limitations-known-issues.md): Current limitations around model selection

‎solutions/search/agent-builder/programmatic-access.md‎

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# Work programmatically with {{agent-builder}}
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{{agent-builder}} provides comprehensive integration options for programmatic access and automation.

‎solutions/search/agent-builder/tools.md‎

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# Tools in {{agent-builder}}
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[Agents](agent-builder-agents.md) use tools to search, retrieve, and take meaningful steps on your behalf.

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