Agents
Agents are directed specialists with a set role, persona, and memory. They are used to set direction and expertise for LLM models to increase their effectiveness.
Let’s see an example of creating a simple LinkedIn content creation agent.
Description
The code snippet initializes an Agent
object designed to perform tasks or generate content based on defined roles and characteristics. This versatile object can be configured for various applications, such as content creation, automated responses, or specialized tasks, by setting its role and persona through parameters.
Parameters
Parameter Table for Agent
Defines the agent’s operational role or function, setting the context for its tasks and interactions.
Describes the intended persona or style the agent should adopt, influencing its approach to task execution.
Specifies the memory system instance the agent uses to interact with vector store memory.
Let’s look at an example of creating a blogger agent based on the company’s data.
Note: Currently agent supports only LLAMA index for memory
Creating a memory instance
Pass the memory to the agent