Ashwin Bharambe 3af73b754a feat: add custom_metadata to OpenAIModel to unify /v1/models with /v1/openai/v1/models ... Goal is to consolidate model listing endpoints. This is step 1: adding custom_metadata field to OpenAIModel that includes model_type, provider_id, provider_resource_id, and all model metadata from the native /v1/models response. Next steps: update stainless client to use /v1/openai/v1/models, migrate tests to read from custom_metadata, then remove /v1/openai/v1/ prefix entirely.		2025-11-03 15:11:58 -08:00
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routers	feat: add custom_metadata to OpenAIModel to unify /v1/models with /v1/openai/v1/models	2025-11-03 15:11:58 -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