File size: 1,883 Bytes
92b4e5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | """The LLM agent class."""
class Agent:
"""An LLM agent."""
def __init__(self, title: str, expertise: str, goal: str, role: str, model: str) -> None:
"""Initializes the agent.
:param title: The title of the agent.
:param expertise: The expertise of the agent.
:param goal: The goal of the agent.
:param role: The role of the agent.
"""
self.title = title
self.expertise = expertise
self.goal = goal
self.role = role
self.model = model
@property
def prompt(self) -> str:
"""Returns the prompt for the agent."""
return (
f"You are a {self.title}. "
f"Your expertise is in {self.expertise}. "
f"Your goal is to {self.goal}. "
f"Your role is to {self.role}."
)
@property
def message(self) -> dict[str, str]:
"""Returns the message for the agent in OpenAI API form."""
return {
"role": "system",
"content": self.prompt,
}
def __hash__(self) -> int:
"""Returns the hash of the agent."""
return hash(self.title)
def __eq__(self, other: object) -> bool:
"""Checks if the agent is equal to another agent (based on title)."""
if not isinstance(other, Agent):
return False
return (
self.title == other.title
and self.expertise == other.expertise
and self.goal == other.goal
and self.role == other.role
and self.model == other.model
)
def __str__(self) -> str:
"""Returns the string representation of the agent (i.e., the agent's title)."""
return self.title
def __repr__(self) -> str:
"""Returns the string representation of the agent (i.e., the agent's title)."""
return self.title
|