langchain/libs/community/langchain_community/chat_models/__init__.py
Anindyadeep b2a11ce686
community[minor]: Prem AI langchain integration (#19113)
### Prem SDK integration in LangChain

This PR adds the integration with [PremAI's](https://www.premai.io/)
prem-sdk with langchain. User can now access to deployed models
(llms/embeddings) and use it with langchain's ecosystem. This PR adds
the following:

### This PR adds the following:

- [x]  Add chat support
- [X]  Adding embedding support
- [X]  writing integration tests
    - [X]  writing tests for chat 
    - [X]  writing tests for embedding
- [X]  writing unit tests
    - [X]  writing tests for chat 
    - [X]  writing tests for embedding
- [X]  Adding documentation
    - [X]  writing documentation for chat
    - [X]  writing documentation for embedding
- [X] run `make test`
- [X] run `make lint`, `make lint_diff` 
- [X]  Final checks (spell check, lint, format and overall testing)

---------

Co-authored-by: Anindyadeep Sannigrahi <anindyadeepsannigrahi@Anindyadeeps-MacBook-Pro.local>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-03-26 01:37:19 +00:00

79 lines
3.7 KiB
Python

"""**Chat Models** are a variation on language models.
While Chat Models use language models under the hood, the interface they expose
is a bit different. Rather than expose a "text in, text out" API, they expose
an interface where "chat messages" are the inputs and outputs.
**Class hierarchy:**
.. code-block::
BaseLanguageModel --> BaseChatModel --> <name> # Examples: ChatOpenAI, ChatGooglePalm
**Main helpers:**
.. code-block::
AIMessage, BaseMessage, HumanMessage
""" # noqa: E501
import importlib
from typing import Any
_module_lookup = {
"AzureChatOpenAI": "langchain_community.chat_models.azure_openai",
"BedrockChat": "langchain_community.chat_models.bedrock",
"ChatAnthropic": "langchain_community.chat_models.anthropic",
"ChatAnyscale": "langchain_community.chat_models.anyscale",
"ChatBaichuan": "langchain_community.chat_models.baichuan",
"ChatCohere": "langchain_community.chat_models.cohere",
"ChatDatabricks": "langchain_community.chat_models.databricks",
"ChatDeepInfra": "langchain_community.chat_models.deepinfra",
"ChatEverlyAI": "langchain_community.chat_models.everlyai",
"ChatFireworks": "langchain_community.chat_models.fireworks",
"ChatFriendli": "langchain_community.chat_models.friendli",
"ChatGooglePalm": "langchain_community.chat_models.google_palm",
"ChatHuggingFace": "langchain_community.chat_models.huggingface",
"ChatHunyuan": "langchain_community.chat_models.hunyuan",
"ChatJavelinAIGateway": "langchain_community.chat_models.javelin_ai_gateway",
"ChatKinetica": "langchain_community.chat_models.kinetica",
"ChatKonko": "langchain_community.chat_models.konko",
"ChatLiteLLM": "langchain_community.chat_models.litellm",
"ChatLiteLLMRouter": "langchain_community.chat_models.litellm_router",
"ChatMLflowAIGateway": "langchain_community.chat_models.mlflow_ai_gateway",
"ChatMaritalk": "langchain_community.chat_models.maritalk",
"ChatMlflow": "langchain_community.chat_models.mlflow",
"ChatOllama": "langchain_community.chat_models.ollama",
"ChatOpenAI": "langchain_community.chat_models.openai",
"ChatPerplexity": "langchain_community.chat_models.perplexity",
"ChatSparkLLM": "langchain_community.chat_models.sparkllm",
"ChatTongyi": "langchain_community.chat_models.tongyi",
"ChatVertexAI": "langchain_community.chat_models.vertexai",
"ChatYandexGPT": "langchain_community.chat_models.yandex",
"ChatYuan2": "langchain_community.chat_models.yuan2",
"ChatZhipuAI": "langchain_community.chat_models.zhipuai",
"ErnieBotChat": "langchain_community.chat_models.ernie",
"FakeListChatModel": "langchain_community.chat_models.fake",
"GPTRouter": "langchain_community.chat_models.gpt_router",
"GigaChat": "langchain_community.chat_models.gigachat",
"HumanInputChatModel": "langchain_community.chat_models.human",
"JinaChat": "langchain_community.chat_models.jinachat",
"LlamaEdgeChatService": "langchain_community.chat_models.llama_edge",
"MiniMaxChat": "langchain_community.chat_models.minimax",
"PaiEasChatEndpoint": "langchain_community.chat_models.pai_eas_endpoint",
"PromptLayerChatOpenAI": "langchain_community.chat_models.promptlayer_openai",
"QianfanChatEndpoint": "langchain_community.chat_models.baidu_qianfan_endpoint",
"VolcEngineMaasChat": "langchain_community.chat_models.volcengine_maas",
"ChatPremAI": "langchain_community.chat_models.premai",
}
def __getattr__(name: str) -> Any:
if name in _module_lookup:
module = importlib.import_module(_module_lookup[name])
return getattr(module, name)
raise AttributeError(f"module {__name__} has no attribute {name}")
__all__ = list(_module_lookup.keys())