Download data/src/virtual_lab/agent.py from manojdahal191gom/Virtual-lab: direct link, hf CLI and curl.
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https://huggingface.co/datasets/manojdahal191gom/Virtual-lab/resolve/main/data/src/virtual_lab/agent.py
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1.88 kB
| """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 | |
| 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}." | |
| ) | |
| 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 | |