llama-stack-mirror/llama_stack/providers/remote
Matthew Farrellee 60f0056cbc chore: turn OpenAIMixin into a pydantic.BaseModel
- implement get_api_key instead of relying on LiteLLMOpenAIMixin.get_api_key
 - remove use of LiteLLMOpenAIMixin
 - add default initialize/shutdown methods to OpenAIMixin
 - remove __init__s to allow proper pydantic construction
 - remove dead code from vllm adapter and associated / duplicate unit tests
 - update vllm adapter to use openaimixin for model registration
 - remove ModelRegistryHelper from fireworks & together adapters
 - remove Inference from nvidia adapter
 - complete type hints on embedding_model_metadata
 - allow extra fields on OpenAIMixin, for model_store, __provider_id__, etc
 - new recordings for ollama
2025-10-03 14:17:43 -04:00
..
agents test: add unit test to ensure all config types are instantiable (#1601) 2025-03-12 22:29:58 -07:00
datasetio chore(misc): make tests and starter faster (#3042) 2025-08-05 14:55:05 -07:00
eval feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin (#3547) 2025-09-25 17:17:00 -04:00
files/s3 fix(expires_after): make sure multipart/form-data is properly parsed (#3612) 2025-09-30 16:14:03 -04:00
inference chore: turn OpenAIMixin into a pydantic.BaseModel 2025-10-03 14:17:43 -04:00
post_training fix: remove inference.completion from docs (#3589) 2025-09-29 13:14:41 -07:00
safety refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
tool_runtime feat(tools)!: substantial clean up of "Tool" related datatypes (#3627) 2025-10-02 15:12:03 -07:00
vector_io feat: implement keyword and hybrid search for Weaviate provider (#3264) 2025-10-03 10:22:30 +02:00
__init__.py impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00