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Some applications will require not just a predetermined chain of calls to LLMs/other tools, but potentially an unknown chain that depends on the user's input. In these types of chains, there is a β€œagent” which has access to a suite of tools. Depending on the user input, the agent can then decide which, if any, of these tools to call.

We split the documentation into the following sections:


How language models interact with other resources.


The language model that drives decision making.


Sets of tools that when used together can accomplish a specific task.

Agent Executor

The logic for running agents with tools.

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