Release Embedding Dimension Constraints
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 669
- Forks
- 236
- Avg merge
- 1m
- Merged PRs (30d)
- 4
Description
Regarding oci.generative_ai_inference.models.EmbedTextDetails.output_dimensions
Why is there a constraint on this? I default I understand, but forcing users to use 256, 512, 1024, and 1536 is not meaningful.
This should be removed.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the Python definition or validation for oci.generative_ai_inference.models.EmbedTextDetails.output_dimensions and compare it with the linked API documentation. Remove the restriction on the listed dimension values, then verify that the CLI accepts other values through the relevant command or test coverage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cli, cloud
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100