An agent can be thought of as a logical wrapper around an LLM, allowing us to add several features to our AI systems, primarily:

• Tool usage, such as calling APIs for info, executing code,


• Internal thoughts over multiple generation steps


• Ability to use various tools and reasoning steps to answer more complex queries.


• Parallel agents can go and complete

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OpenGPTs

This is an open source effort to create a similar experience to OpenAI's GPTs. It builds upon LangChain, LangServe and LangSmith. OpenGPTs gives you more control, allowing you to configure:

• The LLM you use (choose between the 60+ that LangChain offers)


• The prompts you use (use LangSmith to debug those)


• The tools you give it (choose from

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In theory, any action that is available through an application programming interface (API) can be done by an LLM. This functionality is available with OpenAI’s custom GPTs—its platform for creating and hosting your own version of ChatGPT—and called GPT Actions.