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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": ["%%%%"]},
)
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