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| from langchain_core.output_parsers import StrOutputParser | |
| from langchain_core.runnables import RunnablePassthrough | |
| from langchain_core.prompts import ChatPromptTemplate | |
| from utils.initMethods import readYaml, getConfig | |
| from utils.exceptions import CustomException | |
| from langchain_cerebras import ChatCerebras | |
| from utils.logger import logger | |
| import os | |
| config = getConfig(os.path.join(os.getcwd(), "config.ini")) | |
| prompts = readYaml(os.path.join(os.getcwd(), "prompts.yaml")) | |
| class ReasoningAgent: | |
| def __init__(self) -> None: | |
| try: | |
| logger.info("INITIALIZING REASONING AGENT") | |
| promptTemplate = ChatPromptTemplate.from_template(prompts.get("reasoningTemplate")) | |
| llm = ChatCerebras( | |
| model = config.get("REASONINGAGENT", "modelName"), | |
| temperature = config.getfloat("REASONINGAGENT", "temperature") | |
| ) | |
| chain = {"query": RunnablePassthrough()} | promptTemplate | llm | StrOutputParser() | |
| self.chain = chain | |
| except Exception as e: | |
| exception = CustomException(e) | |
| logger.error(exception) | |
| raise exception | |
| def query(self, query) -> str: | |
| try: | |
| output = self.chain.invoke(query) | |
| return output | |
| except Exception as e: | |
| exception = CustomException(e) | |
| logger.error(exception) | |
| raise exception |