LLM.py

from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate, PromptTemplate
from langchain_groq import ChatGroq
from langchain_openai import ChatOpenAI
from langchain_community.chat_models import ChatAnthropic
from langchain_google_genai import ChatGoogleGenerativeAI
from dotenv import load_dotenv
from huggingface_hub import login
import os

# Load environment variables and authenticate
load_dotenv()
login(token=os.environ.get("HUGGING_FACE_API_KEY", ""))
os.environ['CURL_CA_BUNDLE'] = ''

class Bot:
    def __init__(self):
        # Verified, stable models
        self.openai_models = ["gpt-4o", "gpt-4-turbo", "gpt-3.5-turbo"]
        self.anthropic_models = ["claude-3-opus-20240229", "claude-3-sonnet-20240229"]
        self.google_models = ["gemini-pro"]
        self.groq_models = ["llama3-8b-8192", "llama3-70b-8192"]  # Keep only working ones

        # Final model list
        self.models = self.openai_models + self.anthropic_models + self.google_models + self.groq_models

    def call_openai(self, model, temp=0.7, given_prompt="Hi"):
        try:
            llm = ChatOpenAI(model=model, temperature=temp)
            prompt = ChatPromptTemplate.from_messages([
                ("system", "You are a helpful assistant."),
                ("human", "{text}")
            ])
            chain = prompt | llm | StrOutputParser()
            return chain.invoke({"text": given_prompt})
        except Exception as e:
            return f"⚠️ [OpenAI:{model}] {str(e)}"

    def call_anthropic(self, model, temp=0.7, given_prompt="Hi"):
        try:
            llm = ChatAnthropic(model=model, temperature=temp)
            prompt = ChatPromptTemplate.from_messages([
                ("system", "You are a helpful assistant."),
                ("human", "{text}")
            ])
            chain = prompt | llm | StrOutputParser()
            return chain.invoke({"text": given_prompt})
        except Exception as e:
            return f"⚠️ [Anthropic:{model}] {str(e)}"

    def call_google(self, model, temp=0.7, given_prompt="Hi"):
        try:
            gm = ChatGoogleGenerativeAI(model=model, temperature=temp)
            prompt = ChatPromptTemplate.from_messages([
                ("system", "You are a helpful assistant."),
                ("human", "{text}")
            ])
            chain = prompt | gm | StrOutputParser()
            return chain.invoke({"text": given_prompt})
        except Exception as e:
            return f"⚠️ [Google:{model}] {str(e)}"

    def call_groq(self, model, temp=0.7, given_prompt="Hi"):
        try:
            llm = ChatGroq(model=model, temperature=temp)
            prompt = ChatPromptTemplate.from_messages([
                ("system", "You are a helpful assistant."),
                ("human", "{text}")
            ])
            chain = prompt | llm | StrOutputParser()
            return chain.invoke({"text": given_prompt})
        except Exception as e:
            return f"⚠️ [Groq:{model}] {str(e)}"

    def response(self, model, prompt="Hi", temperature=0.7):
        try:
            if model in self.openai_models:
                return self.call_openai(model, temp=temperature, given_prompt=prompt)
            elif model in self.anthropic_models:
                return self.call_anthropic(model, temp=temperature, given_prompt=prompt)
            elif model in self.google_models:
                return self.call_google(model, temp=temperature, given_prompt=prompt)
            elif model in self.groq_models:
                return self.call_groq(model, temp=temperature, given_prompt=prompt)
            else:
                return f"❌ Unsupported model: {model}"
        except Exception as e:
            return f"⚠️ Skipping `{model}` due to error: {str(e)}"