Update tool/coder.py
Browse files- tool/coder.py +43 -43
tool/coder.py
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# -*- coding: utf-8 -*-
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"""
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Created on Sat Oct 26 15:35:19 2024
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@author: BM109X32G-10GPU-02
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"""
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from langchain_community.embeddings import OllamaEmbeddings
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from langchain.tools import BaseTool
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from langchain_openai import ChatOpenAI
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from langchain_core.messages import HumanMessage, SystemMessage
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from langchain.base_language import BaseLanguageModel
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class codewriter(BaseTool):
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name:str = "codewriter"
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description:str = (
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"Useful to answer questions that require writing codes "
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"return the usage and instruction of codes"
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)
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llm: BaseLanguageModel = None
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def __init__(self):
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super().__init__()
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self.llm = ChatOpenAI(model="gpt-4o-2024-11-20",api_key=
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base_url=
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# api keys
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def _run(self, query) -> str:
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messages = [
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SystemMessage(content="You are an expert at writing code, write the corresponding code based on the inputs"),
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HumanMessage(content=query),
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]
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response = self.llm.invoke(messages)
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return response
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async def _arun(self, query) -> str:
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"""Use the tool asynchronously."""
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raise NotImplementedError("this tool does not support async")
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# -*- coding: utf-8 -*-
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"""
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Created on Sat Oct 26 15:35:19 2024
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@author: BM109X32G-10GPU-02
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"""
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from langchain_community.embeddings import OllamaEmbeddings
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from langchain.tools import BaseTool
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from langchain_openai import ChatOpenAI
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from langchain_core.messages import HumanMessage, SystemMessage
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from langchain.base_language import BaseLanguageModel
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class codewriter(BaseTool):
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name:str = "codewriter"
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description:str = (
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"Useful to answer questions that require writing codes "
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"return the usage and instruction of codes"
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)
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llm: BaseLanguageModel = None
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def __init__(self):
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super().__init__()
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self.llm = ChatOpenAI(model="gpt-4o-2024-11-20",api_key=os.getenv("OPENAI_API_KEY"),
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base_url=os.getenv("OPENAI_API_BASE"))
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# api keys
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def _run(self, query) -> str:
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messages = [
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SystemMessage(content="You are an expert at writing code, write the corresponding code based on the inputs"),
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HumanMessage(content=query),
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]
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response = self.llm.invoke(messages)
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return response
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async def _arun(self, query) -> str:
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"""Use the tool asynchronously."""
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raise NotImplementedError("this tool does not support async")
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