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Add support for Llama2, Palm, Cohere, Anthropic, Replicate, Azure Models - using litellm #70

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4 changes: 2 additions & 2 deletions offline_tools/generator_questions/question_generator.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
from langchain.schema import SystemMessage
from langchain.output_parsers import StructuredOutputParser, ResponseSchema
from langchain.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
from langchain.chat_models import ChatOpenAI
from langchain.chat_models import ChatOpenAI, ChatLiteLLM

sys.path.append(os.path.join(os.path.dirname(__file__), '..'))

Expand All @@ -22,7 +22,7 @@ class QuestionGenerator:
openai_api_key: Optional[str] = QUESTIONGENERATOR_CONFIG.get('openai_api_key', os.getenv('OPENAI_API_KEY'))
max_tokens: Optional[int] = QUESTIONGENERATOR_CONFIG.get('max_tokens', None)

chat: BaseChatModel = ChatOpenAI(temperature=temperature, openai_api_key=openai_api_key)
chat: BaseChatModel = ChatLiteLLM(temperature=temperature, openai_api_key=openai_api_key)

def generate_qa(self, doc: str, project: str, chunk_size: int = 300):
no_answer_str = 'NO ANSWER'
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4 changes: 3 additions & 1 deletion src_langchain/llm/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,9 @@ LLM is the key component to ensure the functionality of chatbot. Besides providi

The chatbot uses `ChatLLM` module to generate responses as the final answer, which will be returned to the user end. In order to adapt the LangChain agent, this must be a LangChain `BaseChatModel`.

By default, it uses `ChatOpenAI` from LangChain, which calls the chat service of OpenAI.
By default, it uses `ChatLiteLLM` from LangChain, which calls the chat service of OpenAI (and Can support 50+ LLMs including Anthropic, Cohere, Google Palm, Replicate, Llama2 )
See ChatLiteLLM usage https://python.langchain.com/docs/integrations/chat/litellm

Refer to [LangChain Models](https://python.langchain.com/en/latest/modules/models.html) for more LLM options.

### Configuration
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4 changes: 2 additions & 2 deletions src_langchain/llm/openai_chat.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
import sys
from typing import Optional

from langchain.chat_models import ChatOpenAI
from langchain.chat_models import ChatOpenAI, ChatLiteLLM

sys.path.append(os.path.join(os.path.dirname(__file__), '../..'))

Expand All @@ -12,7 +12,7 @@
llm_kwargs = CHAT_CONFIG.get('llm_kwargs', {})


class ChatLLM(ChatOpenAI):
class ChatLLM(ChatLiteLLM):
'''Chat with LLM given context. Must be a LangChain BaseLanguageModel to adapt agent.'''
model_name: str = CHAT_CONFIG.get('openai_model', 'gpt-3.5-turbo')
openai_api_key: Optional[str] = CHAT_CONFIG.get('openai_api_key', None)
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