fix duplication

Author: leemthompo

solutions/search/agent-builder/models.md

@@ -57,87 +57,6 @@ For programmatic access to connector management, refer to the [Connectors API do
 
 {{agent-builder}} requires models with strong reasoning and tool-calling capabilities. State-of-the-art models perform significantly better than smaller or older models.
 
-### Recommended model families
-
-The following models are known to work well with {{agent-builder}}:
-
-- **OpenAI**: GPT-4.1, GPT-4o
-- **Anthropic**: Claude Sonnet 4.5, Claude Sonnet 4, Claude Sonnet 3.7
-- **Google**: Gemini 2.5 Pro
-
-### Why model quality matters
-
-Agent Builder relies on advanced LLM capabilities including:
-
-- **Function calling**: Models must accurately select appropriate tools and construct valid parameters from natural language requests
-- **Multi-step reasoning**: Agents need to plan, execute, and adapt based on tool results across multiple iterations
-- **Structured output**: Models must produce properly formatted responses that the agent framework can parse
-
-Smaller or less capable models may produce errors like:
-
-```console-response
-Error: Invalid function call syntax
-```
-
-```console-response
-Error executing agent: No tool calls found in the response.
-```
-
-While any chat-completion-compatible connector can technically be configured, we strongly recommend using state-of-the-art models for reliable agent performance.
-
-:::{note}
-GPT-4o-mini and similar smaller models are not recommended for {{agent-builder}} as they lack the necessary capabilities for reliable agent workflows.
-:::
-
-# Using different models in {{agent-builder}}
-
-{{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.
-
-## Default model configuration
-
-By default, {{agent-builder}} uses the Elastic Managed LLM connector running on the [Elastic Inference Service](/explore-analyze/elastic-inference/eis.md) {applies_to}`serverless: preview` {applies_to}`ess: preview 9.2`. 
-
-This managed service requires zero setup and no additional API key management.
-
-Learn more about the [Elastic Managed LLM connector](kibana://reference/connectors-kibana/elastic-managed-llm.md) and [pricing](https://www.elastic.co/pricing).
-
-## Change the default model
-
-By default, {{agent-builder}} uses the Elastic Managed LLM. To use a different model, select a configured connector and set it as the default.
-
-### Use a pre-configured connector
-
-1. Search for **GenAI Settings** in the global search field
-2. Select your preferred connector from the **Default AI Connector** dropdown
-3. Save your changes
-
-### Create a new connector in the UI
-
-1. Find connectors under **Alerts and Insights / Connectors** in the [global search bar](/explore-analyze/find-and-organize/find-apps-and-objects.md)
-2. Select **Create Connector** and select your model provider
-3. Configure the connector with your API credentials and preferred model
-4. Search for **GenAI Settings** in the global search field
-5. Select your new connector from the **Default AI Connector** dropdown under **Custom connectors**
-6. Save your changes
-
-For detailed instructions on creating connectors, refer to [Connectors](https://www.elastic.co/docs/deploy-manage/manage-connectors).
-
-Learn more about [preconfigured connectors](https://www.elastic.co/docs/reference/kibana/connectors-kibana/pre-configured-connectors).
-
-#### Connect a local LLM
-
-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.
-
-Refer to the [OpenAI connector documentation](kibana://reference/connectors-kibana/openai-action-type.md) for detailed setup instructions.
-
-## Connectors API
-
-For programmatic access to connector management, refer to the [Connectors API documentation]({{kib-serverless-apis}}group/endpoint-connectors).
-
-## Recommended models
-
-{{agent-builder}} requires models with strong reasoning and tool-calling capabilities. State-of-the-art models perform significantly better than smaller or older models.
-
 The following models are known to work well with {{agent-builder}}:
 
 - **OpenAI**: GPT-4.1, GPT-4o