Enhancing AI Agents: Adding Instructions, Tasks and Memory

Enhancing AI Agents: Adding Instructions, Tasks and Memory

In our previous article on AI agents, we explored how to create a basic AI agent with a persona using system prompts . Now, we’ll delve into three crucial enhancements that make our agents more sophisticated and effective: instructions, tasks, and conversation memory.

Understanding Instructions vs. Persona

While a persona defines an agent’s core traits and role (like being a financial advisor), instructions provide specific guidelines for how the agent should operate. Think of the persona as like an employee’s job title and basic qualifications, while instructions are like the detailed operational manual they follow.

Let’s look at how instructions are implemented in our enhanced agent class:

@property
def instruction(self) -> str:
    return self._instruction
 
@instruction.setter
def instruction(self, value: str):
    self._instruction = value
    # Reset conversation history when instruction changes
    self._conversation_history = []        

Read the entire article at?The New Stack

Janakiram MSV? is an analyst, advisor, and architect. Follow him on?Twitter ,??Facebook ?and?LinkedIn .

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