Releases: openai/openai-python
Releases · openai/openai-python
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.
v0.10.4
Adds endpoint support for /search_indices endpoints which are being tested in a closed alpha.
Adds versioning to existing engine search endpoint to use improved search v2 functionality. Also being tested in closed alpha.