Using ChatLiteLLM() - Langchain
Pre-Requisites​
!pip install litellm langchain
Quick Start​
- OpenAI
- Anthropic
- Replicate
- Cohere
import os
from langchain_community.chat_models import ChatLiteLLM
from langchain_core.prompts import (
ChatPromptTemplate,
SystemMessagePromptTemplate,
AIMessagePromptTemplate,
HumanMessagePromptTemplate,
)
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
os.environ['OPENAI_API_KEY'] = ""
chat = ChatLiteLLM(model="gpt-3.5-turbo")
messages = [
HumanMessage(
content="what model are you"
)
]
chat.invoke(messages)
import os
from langchain_community.chat_models import ChatLiteLLM
from langchain_core.prompts import (
ChatPromptTemplate,
SystemMessagePromptTemplate,
AIMessagePromptTemplate,
HumanMessagePromptTemplate,
)
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
os.environ['ANTHROPIC_API_KEY'] = ""
chat = ChatLiteLLM(model="claude-2", temperature=0.3)
messages = [
HumanMessage(
content="what model are you"
)
]
chat.invoke(messages)
import os
from langchain_community.chat_models import ChatLiteLLM
from langchain_core.prompts.chat import (
ChatPromptTemplate,
SystemMessagePromptTemplate,
AIMessagePromptTemplate,
HumanMessagePromptTemplate,
)
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
os.environ['REPLICATE_API_TOKEN'] = ""
chat = ChatLiteLLM(model="replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1")
messages = [
HumanMessage(
content="what model are you?"
)
]
chat.invoke(messages)
import os
from langchain_community.chat_models import ChatLiteLLM
from langchain_core.prompts import (
ChatPromptTemplate,
SystemMessagePromptTemplate,
AIMessagePromptTemplate,
HumanMessagePromptTemplate,
)
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
os.environ['COHERE_API_KEY'] = ""
chat = ChatLiteLLM(model="command-nightly")
messages = [
HumanMessage(
content="what model are you?"
)
]
chat.invoke(messages)
Use LangChain ChatLiteLLM + Langfuse​
Checkout this section here for more details on how to integrate Langfuse with ChatLiteLLM.