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Python/text completion streaming #1115
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shawncal
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microsoft:main
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awharrison-28:python/text_completion_streaming
May 23, 2023
Merged
Python/text completion streaming #1115
shawncal
merged 6 commits into
microsoft:main
from
awharrison-28:python/text_completion_streaming
May 23, 2023
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mkarle
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alexchaomander
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LGTM!
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### Motivation and Context This PR introduces streaming methods to TextCompletionBase and ChatCompletionBase. With this pr, you can stream LLM output in the following ways: ``` import semantic_kernel as sk from semantic_kernel.connectors.ai import ChatCompletionClientBase, TextCompletionClientBase, ChatRequestSettings, CompleteRequestSettings from semantic_kernel.connectors.ai.open_ai import AzureTextCompletion, AzureChatCompletion, OpenAITextCompletion, OpenAIChatCompletion from semantic_kernel.connectors.ai.hugging_face import HuggingFaceTextCompletion kernel = sk.Kernel() # Configure Azure LLM service deployment, api_key, endpoint = sk.azure_openai_settings_from_dot_env() text_service = AzureTextCompletion("text-davinci-003", endpoint, api_key) chat_service = AzureChatCompletion("gpt-35-turbo", endpoint, api_key) # Configure OpenAI service api_key, org_id = sk.openai_settings_from_dot_env() oai_text_service = OpenAITextCompletion("text-davinci-003", api_key, org_id) oai_chat_service = OpenAIChatCompletion("gpt-3.5-turbo", api_key, org_id) # Configure Hugging Face service hf_text_service = HuggingFaceTextCompletion("gpt2", task="text-generation") request_settings = CompleteRequestSettings( max_tokens=1000, temperature=0.7, top_p=1, frequency_penalty=0.5, presence_penalty=0.5 ) stream = oai_text_service.complete_stream_async("Write an essay on why AI is awesome:", request_settings) async for text in stream: print(text, end = "") # end = "" to avoid newlines chat_request_settings = ChatRequestSettings( max_tokens=1000, temperature=0.7, top_p=1, frequency_penalty=0.5, presence_penalty=0.5, ) stream = oai_chat_service.complete_chat_stream_async([("user","Write an essay on why AI is awesome:")], chat_request_settings) async for text in stream: print(text, end = "") # end = "" to avoid newlines request_settings = CompleteRequestSettings( max_tokens=256, temperature=0.7, top_p=1, frequency_penalty=0.5, presence_penalty=0.5 ) stream = hf_text_service.complete_stream_async("Hi my name is ", request_settings) async for text in stream: print(text, end = "") # end = "" to avoid newlines ``` **Out of Scope**: Improving the chat history interface with come in a future PR ### Description - added the method complete_stream_async to TextCompletionBase - added the method complete_chat_stream_async to ChatCompletionBase - Updated OpenAI and Hugging Face text completion service classes to support new streaming methods - Added new __init__.py to make importing service classes
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Motivation and Context
This PR introduces streaming methods to TextCompletionBase and ChatCompletionBase. With this pr, you can stream LLM output in the following ways:
Out of Scope: Improving the chat history interface with come in a future PR
Description
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