Agents

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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@HamelHusain Well, agents do have a specific definition that I feel like got lost somewhere in the hype - but yes, they're essentially just workflows with extra capacity for dynamic decision making (ie selecting the correct next function based on the environment) and backtracking on errors