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| import os | |
| import random | |
| import requests | |
| import hashlib | |
| from ..tool import Tool | |
| from langchain.prompts import PromptTemplate | |
| from langchain.chains import LLMChain | |
| from langchain.llms import OpenAI | |
| def build_tool(config) -> Tool: | |
| tool = Tool( | |
| tool_name="Tutorial", | |
| description="Provide tutorial for foundation model based on a given objective.", | |
| name_for_model="Tutorial", | |
| description_for_model="Plugin for providing tutorial for a given objective.", | |
| logo_url="https://your-app-url.com/.well-known/logo.png", | |
| contact_email="xin.cong@outlook.com", | |
| legal_info_url="hello@legal.com", | |
| ) | |
| prompt = PromptTemplate.from_template( | |
| "You are a planner who is an expert at coming up with a todo list for a given objective. Come up with a todo list for this objective: {objective}" | |
| ) | |
| key = os.environ.get("OPENAI_API_KEY") | |
| llm = OpenAI(model_name="gpt-3.5-turbo", temperature=0.0, openai_api_key=key) | |
| chain = LLMChain(llm=llm, prompt=prompt) | |
| def tutorial(text: str) -> str: | |
| """ | |
| tutorial(text: str) -> str: Providing a TODO list as a toturial for the foundation model based on the given objective. | |
| """ | |
| result = chain.run(text) | |
| return result | |
| return tool | |