> ## Documentation Index
> Fetch the complete documentation index at: https://launchdarkly.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# AgentControl

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Learn how to use LaunchDarkly's AgentControl product with specific, complete examples. You can use AgentControl to customize, test, and roll out new large language models (LLMs) within your generative AI applications.

The contents of this section include:

* [Getting started with OpenAI and AgentControl configs](/docs/guides/agentcontrol/getting-started-openai)
* [Getting started with Anthropic Claude and AgentControl configs](/docs/guides/agentcontrol/getting-started-anthropic)
* [Getting started with Google Gemini and AgentControl configs](/docs/guides/agentcontrol/getting-started-gemini)
* [Getting started with Amazon Bedrock and AgentControl configs](/docs/guides/agentcontrol/getting-started-bedrock)
* [Getting started with LangChain and AgentControl configs](/docs/guides/agentcontrol/langchain)
* [Getting started with LangGraph and AgentControl configs](/docs/guides/agentcontrol/langgraph)
* [Managing AI model configuration outside of code](/docs/guides/agentcontrol/config-outside-code-nodejs)
* [Using targeting to manage AI model usage by tier](/docs/guides/agentcontrol/targeting-python)
* [When to use completion mode vs agent mode](/docs/guides/agentcontrol/agent-vs-completion)
* [Building a chatbot with multiple AI providers using AgentControl configs](/docs/guides/agentcontrol/best-practices)