diff --git a/libs/ai-endpoints/langchain_nvidia_ai_endpoints/_utils.py b/libs/ai-endpoints/langchain_nvidia_ai_endpoints/_utils.py new file mode 100644 index 00000000..7280a3db --- /dev/null +++ b/libs/ai-endpoints/langchain_nvidia_ai_endpoints/_utils.py @@ -0,0 +1,63 @@ +from __future__ import annotations + +from typing import ( + Any, + Dict, +) + +from langchain_core.messages import ( + AIMessage, + BaseMessage, + ChatMessage, + FunctionMessage, + HumanMessage, + SystemMessage, + ToolMessage, +) + + +def convert_message_to_dict(message: BaseMessage) -> dict: + """Convert a LangChain message to a dictionary. + + Args: + message: The LangChain message. + + Returns: + The dictionary. + """ + message_dict: Dict[str, Any] + if isinstance(message, ChatMessage): + message_dict = {"role": message.role, "content": message.content} + elif isinstance(message, HumanMessage): + message_dict = {"role": "user", "content": message.content} + elif isinstance(message, AIMessage): + message_dict = {"role": "assistant", "content": message.content} + if "function_call" in message.additional_kwargs: + message_dict["function_call"] = message.additional_kwargs["function_call"] + # If function call only, content is None not empty string + if message_dict["content"] == "": + message_dict["content"] = None + if "tool_calls" in message.additional_kwargs: + message_dict["tool_calls"] = message.additional_kwargs["tool_calls"] + # If tool calls only, content is None not empty string + if message_dict["content"] == "": + message_dict["content"] = None + elif isinstance(message, SystemMessage): + message_dict = {"role": "system", "content": message.content} + elif isinstance(message, FunctionMessage): + message_dict = { + "role": "function", + "content": message.content, + "name": message.name, + } + elif isinstance(message, ToolMessage): + message_dict = { + "role": "tool", + "content": message.content, + "tool_call_id": message.tool_call_id, + } + else: + raise TypeError(f"Got unknown type {message}") + if "name" in message.additional_kwargs: + message_dict["name"] = message.additional_kwargs["name"] + return message_dict diff --git a/libs/ai-endpoints/langchain_nvidia_ai_endpoints/chat_models.py b/libs/ai-endpoints/langchain_nvidia_ai_endpoints/chat_models.py index b1738536..cdd2a028 100644 --- a/libs/ai-endpoints/langchain_nvidia_ai_endpoints/chat_models.py +++ b/libs/ai-endpoints/langchain_nvidia_ai_endpoints/chat_models.py @@ -23,7 +23,6 @@ ) import requests -from langchain_community.adapters.openai import convert_message_to_dict from langchain_core.callbacks.manager import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, @@ -46,6 +45,7 @@ from langchain_nvidia_ai_endpoints._common import _NVIDIAClient from langchain_nvidia_ai_endpoints._statics import Model +from langchain_nvidia_ai_endpoints._utils import convert_message_to_dict _CallbackManager = Union[AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun] _DictOrPydanticClass = Union[Dict[str, Any], Type[BaseModel]] diff --git a/libs/ai-endpoints/poetry.lock b/libs/ai-endpoints/poetry.lock index 26a503a6..1a4176d7 100644 --- a/libs/ai-endpoints/poetry.lock +++ b/libs/ai-endpoints/poetry.lock @@ -292,21 +292,6 @@ files = [ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] -[[package]] -name = "dataclasses-json" -version = "0.6.7" -description = "Easily serialize dataclasses to and from JSON." -optional = false -python-versions = "<4.0,>=3.7" -files = [ - 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