MicrosoftDocs / semantic-kernel-docs

Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages.
MIT License
173 stars 100 forks source link

The OpenAI should pick value OPEN_AI__MODEL_TYPE from the env and add… #44

Closed sethiaarun closed 9 months ago

sethiaarun commented 9 months ago

Examples for OpenAI should pick value OPEN_AI__MODEL_TYPE from the env and add_text_completion_service to add_chat_service

learn-build-service-prod[bot] commented 9 months ago

Learn Build status updates of commit 4ceb219:

:white_check_mark: Validation status: passed

File Status Preview URL Details
samples/python/02-Adding-AI-Services/main.py :white_check_mark:Succeeded
samples/python/03-Inline-Semantic-Functions/config/add_completion_service.py :white_check_mark:Succeeded
samples/python/04-Serializing-Semantic-Functions/config/add_completion_service.py :white_check_mark:Succeeded
samples/python/05-Templatizing-Semantic-Functions/config/add_completion_service.py :white_check_mark:Succeeded
samples/python/06-Calling-Nested-Functions-in-Semantic-Functions/config/add_completion_service.py :white_check_mark:Succeeded
samples/python/07-Simple-Native-Functions/config/add_completion_service.py :white_check_mark:Succeeded
samples/python/08-Native-Functions-with-Context/config/add_completion_service.py :white_check_mark:Succeeded
samples/python/09-Calling-Nested-Functions-in-Native-Functions/config/add_completion_service.py :white_check_mark:Succeeded
samples/python/10-Chaining-Functions/config/add_completion_service.py :white_check_mark:Succeeded
samples/python/11-Planner/config/add_completion_service.py :white_check_mark:Succeeded

For more details, please refer to the build report.

For any questions, please: