Xi Yan 694adb1501 [bugfix] fix broken vision inference, change serialization for bytes (#693) ... # What does this PR do? - vision inference via image as binary bytes fails with serialization error - add custom serialization for "bytes" in `_URLOrData` ## Test Plan ``` pytest -v -s -k "fireworks" --inference-model="meta-llama/Llama-3.2-11B-Vision-Instruct" ./llama_stack/providers/tests/inference/test_vision_inference.py::TestVisionModelInference::test_vision_chat_completion_non_streaming ``` **Before** <img width="1020" alt="image" src="https://github.com/user-attachments/assets/3803fcee-32ee-4b8e-ba46-47848e1a6247" /> **After** <img width="1018" alt="image" src="https://github.com/user-attachments/assets/f3e3156e-88ce-40fd-ad1b-44b87f376e03" /> <img width="822" alt="image" src="https://github.com/user-attachments/assets/1898696f-95c0-4694-8a47-8f51c7de0e86" /> ## Sources Please link relevant resources if necessary. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.		2024-12-30 13:57:41 -08:00
..
__init__.py	API Updates (#73)	2024-09-17 19:51:35 -07:00
content_types.py	[bugfix] fix broken vision inference, change serialization for bytes (#693)	2024-12-30 13:57:41 -08:00
deployment_types.py	Update the "InterleavedTextMedia" type (#635)	2024-12-17 11:18:31 -08:00
job_types.py	[2/n][torchtune integration] implement job management and return training artifacts (#593)	2024-12-13 15:00:04 -08:00
training_types.py	[2/n][torchtune integration] implement job management and return training artifacts (#593)	2024-12-13 15:00:04 -08:00
type_system.py	Update the "InterleavedTextMedia" type (#635)	2024-12-17 11:18:31 -08:00