agent/agents.py

import os

from dotenv import load_dotenv
from langchain_cohere.llms import Cohere
from langchain_community.chat_models import ChatDeepInfra
from langchain_groq import ChatGroq
from langchain_openai import ChatOpenAI
from langchain_together import ChatTogether

load_dotenv()


def chat_openai_llm():
    return ChatOpenAI(
        model_name="gpt-4o",
        temperature=os.environ["temperature"],
        openai_api_key=os.environ["OPENAI_API_KEY"],
        openai_organization=os.environ["OPENAI_ORGANIZATION_ID"]
    )


def groq_chat(model: str):
    return ChatGroq(
        model_name=model,
        temperature=os.environ["temperature"],
        groq_api_key=os.environ["GROQ_API_KEY"],
        max_tokens=2000
    )


def cohere_llm():
    return Cohere(
        model="command-r-plus",
        max_tokens=2048,
        temperature=os.environ["temperature"],
    )


def together_ai_chat(model, temperature):
    return ChatTogether(
        model_name=model,
        together_api_key=os.environ["TOGETHER_AI_API_KEY"],
        temperature=temperature,
        top_p=os.environ["top_p"],
        max_tokens=4096,
        model_kwargs={"stop": ["%%%%"]},
    )


def deepinfra_chat(model, temperature):
    return ChatDeepInfra(
        model=model,
        deepinfra_api_token=os.environ["DEEPINFRA_API_KEY"],
        temperature=temperature,
        top_p=os.environ["top_p"],
        max_tokens=4096,
        model_kwargs={"stop": ["%%%%"]},
    )