Source code for langchain_experimental.autonomous_agents.hugginggpt.hugginggpt

from typing import List

from langchain.base_language import BaseLanguageModel
from langchain.tools.base import BaseTool

from langchain_experimental.autonomous_agents.hugginggpt.repsonse_generator import (
    load_response_generator,
)
from langchain_experimental.autonomous_agents.hugginggpt.task_executor import (
    TaskExecutor,
)
from langchain_experimental.autonomous_agents.hugginggpt.task_planner import (
    load_chat_planner,
)


[docs]class HuggingGPT: """Agent for interacting with HuggingGPT."""
[docs] def __init__(self, llm: BaseLanguageModel, tools: List[BaseTool]): self.llm = llm self.tools = tools self.chat_planner = load_chat_planner(llm) self.response_generator = load_response_generator(llm) self.task_executor: TaskExecutor
[docs] def run(self, input: str) -> str: plan = self.chat_planner.plan(inputs={"input": input, "hf_tools": self.tools}) self.task_executor = TaskExecutor(plan) self.task_executor.run() response = self.response_generator.generate( {"task_execution": self.task_executor} ) return response