Ashwin Bharambe 44096512b5 feat: add custom_metadata to OpenAIModel to unify /v1/models with /v1/openai/v1/models (#4051) ... We need to remove `/v1/openai/v1` paths shortly. There is one trouble -- our current `/v1/openai/v1/models` endpoint provides different data than `/v1/models`. Unfortunately our tests target the latter (llama-stack customized) behavior. We need to get to true OpenAI compatibility. This is step 1: adding `custom_metadata` field to `OpenAIModel` that includes all the extra stuff we add in the native `/v1/models` response. This can be extracted on the consumer end by look at `__pydantic_extra__` or other similar fields. This PR: - Adds `custom_metadata` field to `OpenAIModel` class in `src/llama_stack/apis/models/models.py` - Modified `openai_list_models()` in `src/llama_stack/core/routing_tables/models.py` to populate custom_metadata Next Steps 1. Update stainless client to use `/v1/openai/v1/models` instead of `/v1/models` 2. Migrate tests to read from `custom_metadata` 3. Remove `/v1/openai/v1/` prefix entirely and consolidate to single `/v1/models` endpoint		2025-11-03 15:56:07 -08:00
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routers	feat: add custom_metadata to OpenAIModel to unify /v1/models with /v1/openai/v1/models (#4051)	2025-11-03 15:56:07 -08:00
routing_tables	chore!: BREAKING CHANGE removing VectorDB APIs (#3774)	2025-10-11 14:07:08 -07:00
test_api_recordings.py	fix(testing): improve api_recorder error messages for missing recordings (#3760)	2025-10-09 15:04:16 -07:00
test_context.py	chore(rename): move llama_stack.distribution to llama_stack.core (#2975)	2025-07-30 23:30:53 -07:00
test_distribution.py	feat(prompts): attach prompts to storage stores in run configs (#3893)	2025-10-27 11:12:12 -07:00
test_library_client_initialization.py	chore: refactor server.main (#3462)	2025-09-18 21:11:13 -07:00
test_stack_list_deps.py	refactor(build): rework CLI commands and build process (1/2) (#2974)	2025-10-17 19:52:14 -07:00