diff --git a/python/samples/concepts/setup/chat_completion_services.py b/python/samples/concepts/setup/chat_completion_services.py index 918e61c536db..21f2ad1517e0 100644 --- a/python/samples/concepts/setup/chat_completion_services.py +++ b/python/samples/concepts/setup/chat_completion_services.py @@ -332,13 +332,9 @@ def get_onnx_chat_completion_service_and_request_settings() -> tuple[ Please refer to the Semantic Kernel Python documentation for more information: https://learn.microsoft.com/en-us/python/api/semantic-kernel/semantic_kernel?view=semantic-kernel """ - from semantic_kernel.connectors.ai.onnx import ( - OnnxGenAIChatCompletion, - OnnxGenAIPromptExecutionSettings, - ONNXTemplate, - ) + from semantic_kernel.connectors.ai.onnx import OnnxGenAIChatCompletion, OnnxGenAIPromptExecutionSettings - chat_service = OnnxGenAIChatCompletion(ONNXTemplate.PHI3, service_id=service_id) + chat_service = OnnxGenAIChatCompletion(template="phi4mm", service_id=service_id) request_settings = OnnxGenAIPromptExecutionSettings(service_id=service_id) return chat_service, request_settings diff --git a/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_chat_completion.py b/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_chat_completion.py index d9b27cfd3969..062147dfd195 100644 --- a/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_chat_completion.py +++ b/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_chat_completion.py @@ -1,5 +1,6 @@ # Copyright (c) Microsoft. All rights reserved. +import json import logging import sys from collections.abc import AsyncGenerator @@ -10,7 +11,6 @@ else: from typing_extensions import override # pragma: no cover - from pydantic import ValidationError from semantic_kernel.connectors.ai.chat_completion_client_base import ChatCompletionClientBase @@ -20,6 +20,7 @@ from semantic_kernel.connectors.ai.onnx.utils import ONNXTemplate, apply_template from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings from semantic_kernel.contents import ( + AudioContent, ChatHistory, ChatMessageContent, ImageContent, @@ -37,12 +38,12 @@ class OnnxGenAIChatCompletion(ChatCompletionClientBase, OnnxGenAICompletionBase): """OnnxGenAI text completion service.""" - template: ONNXTemplate + template: ONNXTemplate | None SUPPORTS_FUNCTION_CALLING: ClassVar[bool] = False def __init__( self, - template: ONNXTemplate, + template: ONNXTemplate | None = None, ai_model_path: str | None = None, ai_model_id: str | None = None, env_file_path: str | None = None, @@ -80,6 +81,12 @@ def __init__( super().__init__(ai_model_id=ai_model_id, ai_model_path=settings.chat_model_folder, template=template, **kwargs) + if self.enable_multi_modality and template is None: + raise ServiceInitializationError( + "When using a multi-modal model, a template must be specified." + " Please provide a ONNXTemplate in the constructor." + ) + @override async def _inner_get_chat_message_contents( self, @@ -101,7 +108,8 @@ async def _inner_get_chat_message_contents( assert isinstance(settings, OnnxGenAIPromptExecutionSettings) # nosec prompt = self._prepare_chat_history_for_request(chat_history) images = self._get_images_from_history(chat_history) - choices = await self._generate_next_token(prompt, settings, images) + audios = self._get_audios_from_history(chat_history) + choices = await self._generate_next_token(prompt, settings, images=images, audios=audios) return [self._create_chat_message_content(choice) for choice in choices] @override @@ -127,7 +135,8 @@ async def _inner_get_streaming_chat_message_contents( assert isinstance(settings, OnnxGenAIPromptExecutionSettings) # nosec prompt = self._prepare_chat_history_for_request(chat_history) images = self._get_images_from_history(chat_history) - async for chunk in self._generate_next_token_async(prompt, settings, images): + audios = self._get_audios_from_history(chat_history) + async for chunk in self._generate_next_token_async(prompt, settings, images=images, audios=audios): yield [ self._create_streaming_chat_message_content(choice_index, new_token, function_invoke_attempt) for choice_index, new_token in enumerate(chunk) @@ -159,9 +168,21 @@ def _create_streaming_chat_message_content( def _prepare_chat_history_for_request( self, chat_history: ChatHistory, role_key: str = "role", content_key: str = "content" ) -> Any: - return apply_template(chat_history, self.template) + if self.template: + return apply_template(chat_history, self.template) + return self.tokenizer.apply_chat_template( + json.dumps(self._chat_messages_to_dicts(chat_history)), + add_generation_prompt=True, + ) + + def _chat_messages_to_dicts(self, chat_history: "ChatHistory") -> list[dict[str, Any]]: + return [ + message.to_dict(role_key="role", content_key="content") + for message in chat_history.messages + if isinstance(message, ChatMessageContent) + ] - def _get_images_from_history(self, chat_history: "ChatHistory") -> ImageContent | None: + def _get_images_from_history(self, chat_history: "ChatHistory") -> list[ImageContent] | None: images = [] for message in chat_history.messages: for image in message.items: @@ -174,11 +195,22 @@ def _get_images_from_history(self, chat_history: "ChatHistory") -> ImageContent raise ServiceInvalidExecutionSettingsError( "Image Content URI needs to be set, because onnx can only work with file paths" ) - # Currently Onnx Runtime only supports one image - # Later we will add support for multiple images - if len(images) > 1: - raise ServiceInvalidExecutionSettingsError("The model does not support more than one image") - return images[-1] if images else None + return images if len(images) else None + + def _get_audios_from_history(self, chat_history: "ChatHistory") -> list[AudioContent] | None: + audios = [] + for message in chat_history.messages: + for audio in message.items: + if isinstance(audio, AudioContent): + if not self.enable_multi_modality: + raise ServiceInvalidExecutionSettingsError("The model does not support multi-modality") + if audio.uri: + audios.append(audio) + else: + raise ServiceInvalidExecutionSettingsError( + "Audio Content URI needs to be set, because onnx can only work with file paths" + ) + return audios if len(audios) else None @override def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]: diff --git a/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_completion_base.py b/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_completion_base.py index 79bb310bbc6d..9bafaa38b31f 100644 --- a/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_completion_base.py +++ b/python/semantic_kernel/connectors/ai/onnx/services/onnx_gen_ai_completion_base.py @@ -6,7 +6,7 @@ from typing import Any from semantic_kernel.connectors.ai.onnx.onnx_gen_ai_prompt_execution_settings import OnnxGenAIPromptExecutionSettings -from semantic_kernel.contents import ImageContent +from semantic_kernel.contents import AudioContent, ImageContent from semantic_kernel.exceptions import ServiceInitializationError, ServiceInvalidResponseError from semantic_kernel.kernel_pydantic import KernelBaseModel @@ -50,7 +50,7 @@ def __init__(self, ai_model_path: str, **kwargs) -> None: tokenizer = OnnxRuntimeGenAi.Tokenizer(model) tokenizer_stream = tokenizer.create_stream() except Exception as ex: - raise ServiceInitializationError("Failed to initialize OnnxTextCompletion service", ex) from ex + raise ServiceInitializationError("Failed to initialize OnnxCompletion service", ex) from ex super().__init__( model=model, @@ -64,25 +64,27 @@ async def _generate_next_token_async( self, prompt: str, settings: OnnxGenAIPromptExecutionSettings, - image: ImageContent | None = None, + images: list[ImageContent] | None = None, + audios: list[AudioContent] | None = None, ) -> AsyncGenerator[list[str], Any]: try: params = OnnxRuntimeGenAi.GeneratorParams(self.model) params.set_search_options(**settings.prepare_settings_dict()) + generator = OnnxRuntimeGenAi.Generator(self.model, params) if not self.enable_multi_modality: input_tokens = self.tokenizer.encode(prompt) - params.input_ids = input_tokens + generator.append_tokens(input_tokens) else: - if image is not None: - # With the use of Pybind there is currently no way to load images from bytes - # We can only open images from a file path currently - image = OnnxRuntimeGenAi.Images.open(str(image.uri)) - input_tokens = self.tokenizer(prompt, images=image) - params.set_inputs(input_tokens) - generator = OnnxRuntimeGenAi.Generator(self.model, params) + # With the use of Pybind in ONNX there is currently no way to load images from bytes + # We can only open images & audios from a file path currently + if images is not None: + images = OnnxRuntimeGenAi.Images.open(*[str(image.uri) for image in images]) + if audios is not None: + audios = OnnxRuntimeGenAi.Audios.open(*[str(audio.uri) for audio in audios]) + input_tokens = self.tokenizer(prompt, images=images, audios=audios) + generator.set_inputs(input_tokens) while not generator.is_done(): - generator.compute_logits() generator.generate_next_token() new_token_choices = [self.tokenizer_stream.decode(token) for token in generator.get_next_tokens()] yield new_token_choices @@ -94,10 +96,11 @@ async def _generate_next_token( self, prompt: str, settings: OnnxGenAIPromptExecutionSettings, - image: ImageContent | None = None, + images: list[ImageContent] | None = None, + audios: list[AudioContent] | None = None, ): token_choices: list[str] = [] - async for new_token_choice in self._generate_next_token_async(prompt, settings, image): + async for new_token_choice in self._generate_next_token_async(prompt, settings, images, audios=audios): # zip only works if the lists are the same length if len(token_choices) == 0: token_choices = new_token_choice diff --git a/python/semantic_kernel/connectors/ai/onnx/utils.py b/python/semantic_kernel/connectors/ai/onnx/utils.py index 80c93e0ebceb..e9bbe40ee074 100644 --- a/python/semantic_kernel/connectors/ai/onnx/utils.py +++ b/python/semantic_kernel/connectors/ai/onnx/utils.py @@ -2,6 +2,7 @@ from enum import Enum from semantic_kernel.contents import AuthorRole, ChatHistory, ImageContent, TextContent +from semantic_kernel.contents.audio_content import AudioContent from semantic_kernel.exceptions import ServiceException, ServiceInvalidRequestError @@ -19,6 +20,8 @@ class ONNXTemplate(str, Enum): PHI3 = "phi3" PHI3V = "phi3v" + PHI4 = "phi4" + PHI4MM = "phi4mm" GEMMA = "gemma" LLAMA = "llama" NONE = "none" @@ -39,9 +42,11 @@ def apply_template(history: ChatHistory, template: ONNXTemplate) -> str: """ template_functions = { ONNXTemplate.PHI3: phi3_template, + ONNXTemplate.PHI4: phi4_template, ONNXTemplate.GEMMA: gemma_template, ONNXTemplate.LLAMA: llama_template, ONNXTemplate.PHI3V: phi3v_template, + ONNXTemplate.PHI4MM: phi4mm_template, ONNXTemplate.NONE: lambda text: text, } @@ -67,6 +72,22 @@ def phi3_template(history: ChatHistory) -> str: return phi3_input +def phi4_template(history: ChatHistory) -> str: + """Generates a formatted string from the chat history for use with the phi4 model. + + Args: + history (ChatHistory): An object containing the chat history with a list of messages. + + Returns: + str: A formatted string where each message is prefixed with the role and suffixed with an end marker. + """ + phi4_input = "" + for message in history.messages: + phi4_input += f"<|{message.role.value}|>\n{message.content}<|end|>\n" + phi4_input += "<|assistant|>\n" + return phi4_input + + def phi3v_template(history: ChatHistory) -> str: """Generates a formatted string from a given chat history for use with the phi3v model. @@ -78,6 +99,7 @@ def phi3v_template(history: ChatHistory) -> str: the role of each message (system, user, assistant) and the type of content (text, image). """ phi3v_input = "" + image_count = 0 for message in history.messages: if message.role == AuthorRole.SYSTEM: phi3v_input += f"<|system|>\n{message.content}<|end|>\n" @@ -85,15 +107,48 @@ def phi3v_template(history: ChatHistory) -> str: for item in message.items: if isinstance(item, TextContent): phi3v_input += f"<|user|>\n{item.text}<|end|>\n" - # Currently only one image is supported in Onnx if isinstance(item, ImageContent): - phi3v_input += "<|image_1|>\n" + phi3v_input += f"<|image_{image_count + 1}|>\n" + image_count += 1 if message.role == AuthorRole.ASSISTANT: phi3v_input += f"<|assistant|>\n{message.content}<|end|>\n" phi3v_input += "<|assistant|>\n" return phi3v_input +def phi4mm_template(history: ChatHistory) -> str: + """Generates a formatted string from a given chat history for use with the phi4mm model. + + Args: + history (ChatHistory): An object containing the chat history with messages. + + Returns: + str: A formatted string representing the chat history, with special tokens indicating + the role of each message (system, user, assistant) and the type of content (text, image). + """ + phi4mm_input = "" + image_count = 0 + audio_count = 0 + for message in history.messages: + if message.role == AuthorRole.SYSTEM: + phi4mm_input += f"<|system|>\n{message.content}<|end|>\n" + if message.role == AuthorRole.USER: + for item in message.items: + if isinstance(item, TextContent): + phi4mm_input += f"<|user|>\n{item.text}<|end|>\n" + # Currently only one image is supported in Onnx + if isinstance(item, ImageContent): + phi4mm_input += f"<|image_{image_count + 1}|>\n" + image_count += 1 + if isinstance(item, AudioContent): + phi4mm_input += f"<|audio_{audio_count + 1}|>\n" + audio_count += 1 + if message.role == AuthorRole.ASSISTANT: + phi4mm_input += f"<|assistant|>\n{message.content}<|end|>\n" + phi4mm_input += "<|assistant|>\n" + return phi4mm_input + + def gemma_template(history: ChatHistory) -> str: """Generates a formatted string for the Gemma model based on the provided chat history. diff --git a/python/tests/unit/connectors/ai/onnx/services/test_onnx_chat_completion.py b/python/tests/unit/connectors/ai/onnx/services/test_onnx_chat_completion.py index 30c9573fef6c..b7f064926a89 100644 --- a/python/tests/unit/connectors/ai/onnx/services/test_onnx_chat_completion.py +++ b/python/tests/unit/connectors/ai/onnx/services/test_onnx_chat_completion.py @@ -52,8 +52,9 @@ def test_onnx_chat_completion_with_invalid_model(): ) -def test_onnx_chat_completion_without_prompt_template(): - with pytest.raises(TypeError): +@patch("builtins.open", new_callable=mock_open, read_data=json.dumps(gen_ai_config_vision)) +def test_onnx_chat_completion_with_multimodality_without_prompt_template(gen_ai_config_vision): + with pytest.raises(ServiceInitializationError): OnnxGenAIChatCompletion() @@ -147,7 +148,7 @@ def patch_open(*args, **kwargs): ) last_image = chat_completion._get_images_from_history(history) - assert last_image == image_content + assert last_image == [image_content] @patch("onnxruntime_genai.Model") diff --git a/python/tests/unit/connectors/ai/onnx/services/test_onnx_utils.py b/python/tests/unit/connectors/ai/onnx/services/test_onnx_utils.py index 0204c417f752..04ccd085c538 100644 --- a/python/tests/unit/connectors/ai/onnx/services/test_onnx_utils.py +++ b/python/tests/unit/connectors/ai/onnx/services/test_onnx_utils.py @@ -1,7 +1,14 @@ # Copyright (c) Microsoft. All rights reserved. -from semantic_kernel.connectors.ai.onnx.utils import gemma_template, llama_template, phi3_template, phi3v_template -from semantic_kernel.contents import AuthorRole, ChatHistory, ImageContent, TextContent +from semantic_kernel.connectors.ai.onnx.utils import ( + gemma_template, + llama_template, + phi3_template, + phi3v_template, + phi4_template, + phi4mm_template, +) +from semantic_kernel.contents import AudioContent, AuthorRole, ChatHistory, ImageContent, TextContent def test_phi3v_template_with_text_and_image(): @@ -27,6 +34,34 @@ def test_phi3v_template_with_text_and_image(): assert phi3v_template(history) == expected_output +def test_phi4mm_template_with_text_and_image(): + history = ChatHistory( + messages=[ + {"role": AuthorRole.SYSTEM, "content": "System message"}, + { + "role": AuthorRole.USER, + "items": [ + TextContent(text="User text message"), + ImageContent(url="http://example.com/image.png"), + AudioContent(url="http://example.com/audio.mp3"), + ], + }, + {"role": AuthorRole.ASSISTANT, "content": "Assistant message"}, + ] + ) + + expected_output = ( + "<|system|>\nSystem message<|end|>\n" + "<|user|>\nUser text message<|end|>\n" + "<|image_1|>\n" + "<|audio_1|>\n" + "<|assistant|>\nAssistant message<|end|>\n" + "<|assistant|>\n" + ) + + assert phi4mm_template(history) == expected_output + + def test_phi3_template_with_only_text(): history = ChatHistory(messages=[{"role": AuthorRole.USER, "items": [TextContent(text="User text message")]}]) @@ -35,6 +70,14 @@ def test_phi3_template_with_only_text(): assert phi3_template(history) == expected_output +def test_phi4_template_with_only_text(): + history = ChatHistory(messages=[{"role": AuthorRole.USER, "items": [TextContent(text="User text message")]}]) + + expected_output = "<|user|>\nUser text message<|end|>\n<|assistant|>\n" + + assert phi4_template(history) == expected_output + + def test_gemma_template_with_user_and_assistant_messages(): history = ChatHistory( messages=[ diff --git 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