v1.15.4

What's Changed

Instructor 1.15.4 is a patch release that consolidates the latest small fixes and docs cleanup after 1.15.3.

Runtime Fixes

• Fixed v2 response-model preparation so list and primitive response models are normalized before provider handler dispatch. This fixes crashes such as AttributeError: type object 'list' has no attribute 'model_json_schema' for list[Model] and scalar response models.
• Fixed streamed JSON extraction so backticks inside JSON string values are preserved instead of being interpreted as markdown fence delimiters.
• Fixed Image.autodetect() to accept raw JPEG, PNG, GIF, and WebP bytes, while raising clear errors for unsupported image inputs.
• Added regression coverage for the existing Gemini empty-message path.
• Fixed list[BaseModel] simple-type detection so model lists route through iterable handling instead of scalar wrapping.

CLI

• Fixed fine-tuning job creation from local files to pass the uploaded validation file ID to OpenAI instead of the local validation file path.
• Refreshed the CLI fine-tuning default model string in code and docs.

Docs

• Updated stale OpenAI model strings across docs and tutorials.
• Updated the Ollama example to use llama3.2, including the ollama pull command and from_provider() example.

Release

• Bumped package metadata to 1.15.4 in pyproject.toml, instructor/__init__.py, and uv.lock.
• Published the release to PyPI as both wheel and sdist.

Validation

PR #2398 passed Ruff, type-check, core tests, provider tests, live provider tests, auto client tests, and the Workers build before release.

Full Changelog: v1.15.3...v1.15.4