mirror of
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968fc132d3
**What:** - Added OpenAIChatCompletionTextOnlyMessageContent type for text-only content validation - Modified OpenAISystemMessageParam, OpenAIAssistantMessageParam, OpenAIDeveloperMessageParam, and OpenAIToolMessageParam to use text-only content type instead of mixed content - OpenAIUserMessageParam unchanged - still accepts both text and images - Updated OpenAPI spec files to reflect text-only content restrictions in schemas closes #2894 **Why:** - Enforces OpenAI API compatibility by restricting image content to user messages only - Prevents API misuse where images might be sent in message types that don't support them - Aligns with OpenAI's actual API behavior where only user messages can contain multimodal content - Improves type safety and validation at the API boundary **Test plan:** - Added comprehensive parametrized tests covering all 5 OpenAI message types - Tests verify text string acceptance for all message types - Tests verify text list acceptance for all message types - Tests verify image rejection for system/assistant/developer/tool messages (ValidationError expected) - Tests verify user messages still accept images (backward compatibility maintained) |
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| _static | ||
| notebooks | ||
| openapi_generator | ||
| resources | ||
| source | ||
| zero_to_hero_guide | ||
| conftest.py | ||
| contbuild.sh | ||
| dog.jpg | ||
| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
| make.bat | ||
| Makefile | ||
| original_rfc.md | ||
| quick_start.ipynb | ||
| README.md | ||
Llama Stack Documentation
Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our ReadTheDocs page.
Render locally
From the llama-stack root directory, run the following command to render the docs locally:
uv run --group docs sphinx-autobuild docs/source docs/build/html --write-all
You can open up the docs in your browser at http://localhost:8000
Content
Try out Llama Stack's capabilities through our detailed Jupyter notebooks:
- Building AI Applications Notebook - A comprehensive guide to building production-ready AI applications using Llama Stack
- Benchmark Evaluations Notebook - Detailed performance evaluations and benchmarking results
- Zero-to-Hero Guide - Step-by-step guide for getting started with Llama Stack