fix: Make embedding_endpoint_type an enum (#2251)

letta/schemas/embedding_config.py

@@ -1,4 +1,4 @@
-from typing import Optional
+from typing import Literal, Optional
 
 from pydantic import BaseModel, Field
 
@@ -20,7 +20,25 @@ class EmbeddingConfig(BaseModel):
 
     """
 
-    embedding_endpoint_type: str = Field(..., description="The endpoint type for the model.")
+    embedding_endpoint_type: Literal[
+        "openai",
+        "anthropic",
+        "cohere",
+        "google_ai",
+        "azure",
+        "groq",
+        "ollama",
+        "webui",
+        "webui-legacy",
+        "lmstudio",
+        "lmstudio-legacy",
+        "llamacpp",
+        "koboldcpp",
+        "vllm",
+        "hugging-face",
+        "mistral",
+        "together",  # completions endpoint
+    ] = Field(..., description="The endpoint type for the model.")
     embedding_endpoint: Optional[str] = Field(None, description="The endpoint for the model (`None` if local).")
     embedding_model: str = Field(..., description="The model for the embedding.")
     embedding_dim: int = Field(..., description="The dimension of the embedding.")