Agents involve an LLM making decisions about which Actions to take, taking that Action, seeing an Observation, and repeating that until done. LangChain provides a standard interface for agents, a selection of agents to choose from, and examples of end to end agents.
Examples of Agent frameworks: Autogen, CrewAI, LangGraph.
Example of Agents used in the Autogen framework:
