Ashwin Bharambe d649c3663e fix: enforce allowed_models during inference requests (#4197) ... The `allowed_models` configuration was only being applied when listing models via the `/v1/models` endpoint, but the actual inference requests weren't checking this restriction. This meant users could directly request any model the provider supports by specifying it in their inference call, completely bypassing the intended cost controls. The fix adds validation to all three inference methods (chat completions, completions, and embeddings) that checks the requested model against the allowed_models list before making the provider API call. ### Test plan Added unit tests		2025-11-19 14:49:44 -08:00
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inference	fix: enforce allowed_models during inference requests (#4197)	2025-11-19 14:49:44 -08:00
memory	fix: rename llama_stack_api dir (#4155)	2025-11-13 15:04:36 -08:00
__init__.py	fix: add check for interleavedContent (#1973)	2025-05-06 09:55:07 -07:00
test_form_data.py	fix(expires_after): make sure multipart/form-data is properly parsed (#3612)	2025-09-30 16:14:03 -04:00
test_model_registry.py	fix: rename llama_stack_api dir (#4155)	2025-11-13 15:04:36 -08:00
test_openai_compat_conversion.py	feat(tools)!: substantial clean up of "Tool" related datatypes (#3627)	2025-10-02 15:12:03 -07:00
test_scheduler.py	chore: default to pytest asyncio-mode=auto (#2730)	2025-07-11 13:00:24 -07:00