feat: expand set of known openai models, allow using openai canonical model names (#2164)

note: the openai provider exposes the litellm specific model names to
the user. this change is compatible with that. the litellm names should
be deprecated.

llama_stack/providers/remote/inference/openai/models.py

@@ -4,27 +4,60 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
+from dataclasses import dataclass
+
 from llama_stack.apis.models.models import ModelType
 from llama_stack.providers.utils.inference.model_registry import (
     ProviderModelEntry,
 )
 
 LLM_MODEL_IDS = [
+    # the models w/ "openai/" prefix are the litellm specific model names.
+    # they should be deprecated in favor of the canonical openai model names.
     "openai/gpt-4o",
     "openai/gpt-4o-mini",
     "openai/chatgpt-4o-latest",
+    "gpt-3.5-turbo-0125",
+    "gpt-3.5-turbo",
+    "gpt-3.5-turbo-instruct",
+    "gpt-4",
+    "gpt-4-turbo",
+    "gpt-4o",
+    "gpt-4o-2024-08-06",
+    "gpt-4o-mini",
+    "gpt-4o-audio-preview",
+    "chatgpt-4o-latest",
+    "o1",
+    "o1-mini",
+    "o3-mini",
+    "o4-mini",
 ]
 
 
+@dataclass
+class EmbeddingModelInfo:
+    """Structured representation of embedding model information."""
+
+    embedding_dimension: int
+    context_length: int
+
+
+EMBEDDING_MODEL_IDS: dict[str, EmbeddingModelInfo] = {
+    "openai/text-embedding-3-small": EmbeddingModelInfo(1536, 8192),
+    "openai/text-embedding-3-large": EmbeddingModelInfo(3072, 8192),
+    "text-embedding-3-small": EmbeddingModelInfo(1536, 8192),
+    "text-embedding-3-large": EmbeddingModelInfo(3072, 8192),
+}
+
+
 MODEL_ENTRIES = [ProviderModelEntry(provider_model_id=m) for m in LLM_MODEL_IDS] + [
     ProviderModelEntry(
-        provider_model_id="openai/text-embedding-3-small",
+        provider_model_id=model_id,
         model_type=ModelType.embedding,
-        metadata={"embedding_dimension": 1536, "context_length": 8192},
-    ),
-    ProviderModelEntry(
-        provider_model_id="openai/text-embedding-3-large",
-        model_type=ModelType.embedding,
-        metadata={"embedding_dimension": 3072, "context_length": 8192},
-    ),
+        metadata={
+            "embedding_dimension": model_info.embedding_dimension,
+            "context_length": model_info.context_length,
+        },
+    )
+    for model_id, model_info in EMBEDDING_MODEL_IDS.items()
 ]