v0.14.0

What's Changed

• Add entry_points by @BastianZim. Makes some changes to setup so that the package can be easily installed on Windows
• Add documentation for usage with Azure endpoints by @sorinsuciu-msft
• feat: openai wandb sync by @borisdayma. Adds Wandb integration. Try openai wandb sync as an example

New Contributors

• @BastianZim made their first contribution in #52
• @borisdayma made their first contribution in #64

v0.13.0

• Adds new example notebook demonstrating embeddings for recommendations
• Updates other embedding examples with new engine names
• Adds new functions to embedding_utils.py

v0.12.0

• Add an option to use Azure endpoints for the /completions & /search operations

v0.11.6

Changes in this version:

• Deprecating openai.Engine.embeddings. Instead, please use openai.Embedding.create
• Uses the new embedding engine names in all examples
• Delete the ca certificates that aren't needed anymore
• Makes all openai exceptions pickle-able

v0.11.5

• remove packing flags from fine_tunes.create
• remove recommended batch sizes from data prep tool (default batch sizes now set server-side)

v0.11.4

• Answers and Classification endpoints now have their own prepare_data functions, similar to search
• Moved the utils file used in the embeddings examples to embeddings_utils. This will allow the code to be imported
• Changed the default api_prefix to be "" and instead moved that logic into init.py. You might need to update any local OPENAI_API_BASE that you've set.

v0.11.3

• Hotfix to deal with missing import

v0.11.2

• Accept URLs as train/validation files in the fine-tuning CLI command
• Minor fixes to files.create and fine_tunes.create CLI commands

v0.11.1

• add examples/embeddings for embedding tutorial notebooks
• add examples/finetuning Olympics Q&A fine-tuning tutorial notebooks
• Fix batch size estimation for small dataset sizes

v0.10.5

Adds endpoint support for /embeddings endpoint which is being tested in a closed alpha.