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

llama_stack/providers/remote/inference/fireworks/__init__.py

@@ -17,6 +17,6 @@ async def get_adapter_impl(config: FireworksImplConfig, _deps):
     from .fireworks import FireworksInferenceAdapter
 
     assert isinstance(config, FireworksImplConfig), f"Unexpected config type: {type(config)}"
-    impl = FireworksInferenceAdapter(config)
+    impl = FireworksInferenceAdapter(config=config)
     await impl.initialize()
     return impl

llama_stack/providers/remote/inference/fireworks/fireworks.py

@@ -9,7 +9,6 @@ from fireworks.client import Fireworks
 
 from llama_stack.apis.inference import (
     ChatCompletionRequest,
-    Inference,
     LogProbConfig,
     ResponseFormat,
     ResponseFormatType,
@@ -17,9 +16,6 @@ from llama_stack.apis.inference import (
 )
 from llama_stack.core.request_headers import NeedsRequestProviderData
 from llama_stack.log import get_logger
-from llama_stack.providers.utils.inference.model_registry import (
-    ModelRegistryHelper,
-)
 from llama_stack.providers.utils.inference.openai_compat import (
     convert_message_to_openai_dict,
     get_sampling_options,
@@ -35,23 +31,14 @@ from .config import FireworksImplConfig
 logger = get_logger(name=__name__, category="inference::fireworks")
 
 
-class FireworksInferenceAdapter(OpenAIMixin, Inference, NeedsRequestProviderData):
-    embedding_model_metadata = {
+class FireworksInferenceAdapter(OpenAIMixin, NeedsRequestProviderData):
+    config: FireworksImplConfig
+
+    embedding_model_metadata: dict[str, dict[str, int]] = {
         "nomic-ai/nomic-embed-text-v1.5": {"embedding_dimension": 768, "context_length": 8192},
         "accounts/fireworks/models/qwen3-embedding-8b": {"embedding_dimension": 4096, "context_length": 40960},
     }
 
-    def __init__(self, config: FireworksImplConfig) -> None:
-        ModelRegistryHelper.__init__(self)
-        self.config = config
-        self.allowed_models = config.allowed_models
-
-    async def initialize(self) -> None:
-        pass
-
-    async def shutdown(self) -> None:
-        pass
-
     def get_api_key(self) -> str:
         config_api_key = self.config.api_key.get_secret_value() if self.config.api_key else None
         if config_api_key: