From 05bc87e57815adc50522af84ae978a2132531921 Mon Sep 17 00:00:00 2001 From: Leonid Kuligin Date: Tue, 9 Apr 2024 20:46:53 +0200 Subject: [PATCH] added system message support --- .../langchain_google_genai/chat_models.py | 42 +- libs/genai/poetry.lock | 446 ++++++++++-------- libs/genai/pyproject.toml | 4 +- .../integration_tests/test_chat_models.py | 22 +- .../tests/unit_tests/test_chat_models.py | 7 +- 5 files changed, 275 insertions(+), 246 deletions(-) diff --git a/libs/genai/langchain_google_genai/chat_models.py b/libs/genai/langchain_google_genai/chat_models.py index 2c95df24..e2f095af 100644 --- a/libs/genai/langchain_google_genai/chat_models.py +++ b/libs/genai/langchain_google_genai/chat_models.py @@ -4,6 +4,7 @@ import json import logging import os +import warnings from io import BytesIO from typing import ( Any, @@ -300,27 +301,16 @@ def _convert_to_parts( def _parse_chat_history( input_messages: Sequence[BaseMessage], convert_system_message_to_human: bool = False -) -> List[genai.types.ContentDict]: +) -> Tuple[Optional[genai.types.ContentDict], List[genai.types.ContentDict]]: messages: List[genai.types.MessageDict] = [] - raw_system_message: Optional[SystemMessage] = None - for i, message in enumerate(input_messages): - if ( - i == 0 - and isinstance(message, SystemMessage) - and not convert_system_message_to_human - ): - raise ValueError( - """SystemMessages are not yet supported! - -To automatically convert the leading SystemMessage to a HumanMessage, -set `convert_system_message_to_human` to True. Example: + if convert_system_message_to_human: + warnings.warn("Convert_system_message_to_human will be deprecated!") -llm = ChatGoogleGenerativeAI(model="gemini-pro", convert_system_message_to_human=True) -""" - ) - elif i == 0 and isinstance(message, SystemMessage): - raw_system_message = message + system_instruction: Optional[genai.types.ContentDict] = None + for i, message in enumerate(input_messages): + if i == 0 and isinstance(message, SystemMessage): + system_instruction = _convert_to_parts(message.content) continue elif isinstance(message, AIMessage): role = "model" @@ -365,16 +355,8 @@ def _parse_chat_history( f"Unexpected message with type {type(message)} at the position {i}." ) - if raw_system_message: - if role == "model": - raise ValueError( - "SystemMessage should be followed by a HumanMessage and " - "not by AIMessage." - ) - parts = _convert_to_parts(raw_system_message.content) + parts - raw_system_message = None messages.append({"role": role, "parts": parts}) - return messages + return system_instruction, messages def _parse_response_candidate( @@ -659,11 +641,15 @@ def _prepare_chat( ) params = self._prepare_params(stop, **kwargs) - history = _parse_chat_history( + system_instruction, history = _parse_chat_history( messages, convert_system_message_to_human=self.convert_system_message_to_human, ) message = history.pop() + if self.client._system_instruction != system_instruction: + self.client = genai.GenerativeModel( + model_name=self.model, system_instruction=system_instruction + ) chat = client.start_chat(history=history) return params, chat, message diff --git a/libs/genai/poetry.lock b/libs/genai/poetry.lock index f440dbae..a76c7f6d 100644 --- a/libs/genai/poetry.lock +++ b/libs/genai/poetry.lock @@ -11,28 +11,6 @@ files = [ {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, ] -[[package]] -name = "anyio" -version = "4.3.0" -description = "High level compatibility layer for 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images = ["pillow"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "dd7ba0d20a620f1eac259e8809a0f968bb49997574523c171611c827e7134c5f" +content-hash = "2b03aaa008902cf0eff7757a7453c7fff83b06939a47845fa3704abb4fb172a1" diff --git a/libs/genai/pyproject.toml b/libs/genai/pyproject.toml index 1d82e99a..278df6b7 100644 --- a/libs/genai/pyproject.toml +++ b/libs/genai/pyproject.toml @@ -12,8 +12,8 @@ license = "MIT" [tool.poetry.dependencies] python = ">=3.9,<4.0" -langchain-core = "^0.1" -google-generativeai = "^0.4.1" +langchain-core = ">=0.1.27,<0.2" +google-generativeai = "^0.5.0" pillow = { version = "^10.1.0", optional = true } [tool.poetry.extras] diff --git a/libs/genai/tests/integration_tests/test_chat_models.py b/libs/genai/tests/integration_tests/test_chat_models.py index 26e85aa1..340c466d 100644 --- a/libs/genai/tests/integration_tests/test_chat_models.py +++ b/libs/genai/tests/integration_tests/test_chat_models.py @@ -112,6 +112,16 @@ def test_chat_google_genai_invoke_multimodal() -> None: assert len(chunk.content.strip()) > 0 +def test_system_message() -> None: + messages = [ + SystemMessage(content="Be a helful assistant."), + HumanMessage(content="Hi, how are you?"), + ] + llm = ChatGoogleGenerativeAI(model="models/gemini-1.0-pro-latest") + answer = llm.invoke(messages) + assert isinstance(answer.content, str) + + def test_chat_google_genai_invoke_multimodal_too_many_messages() -> None: # Only supports 1 turn... messages: list = [ @@ -168,18 +178,6 @@ def test_chat_google_genai_single_call_with_history() -> None: assert isinstance(response.content, str) -def test_chat_google_genai_system_message_error() -> None: - model = ChatGoogleGenerativeAI(model=_MODEL) - text_question1, text_answer1 = "How much is 2+2?", "4" - text_question2 = "How much is 3+3?" - system_message = SystemMessage(content="You're supposed to answer math questions.") - message1 = HumanMessage(content=text_question1) - message2 = AIMessage(content=text_answer1) - message3 = HumanMessage(content=text_question2) - with pytest.raises(ValueError): - model([system_message, message1, message2, message3]) - - def test_chat_google_genai_system_message() -> None: model = ChatGoogleGenerativeAI(model=_MODEL, convert_system_message_to_human=True) text_question1, text_answer1 = "How much is 2+2?", "4" diff --git a/libs/genai/tests/unit_tests/test_chat_models.py b/libs/genai/tests/unit_tests/test_chat_models.py index e17bb7d9..aa5aae20 100644 --- a/libs/genai/tests/unit_tests/test_chat_models.py +++ b/libs/genai/tests/unit_tests/test_chat_models.py @@ -61,13 +61,16 @@ def test_parse_history() -> None: message2 = AIMessage(content=text_answer1) message3 = HumanMessage(content=text_question2) messages = [system_message, message1, message2, message3] - history = _parse_chat_history(messages, convert_system_message_to_human=True) + system_instruction, history = _parse_chat_history( + messages, convert_system_message_to_human=True + ) assert len(history) == 3 assert history[0] == { "role": "user", - "parts": [{"text": system_input}, {"text": text_question1}], + "parts": [{"text": text_question1}], } assert history[1] == {"role": "model", "parts": [{"text": text_answer1}]} + assert system_instruction == [{"text": system_input}] @pytest.mark.parametrize("content", ['["a"]', '{"a":"b"}', "function output"])