Fix serde issue for huggingface inference API embedding

llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/llama_index/embeddings/huggingface_api/base.py

@@ -61,15 +61,15 @@ class HuggingFaceInferenceAPIEmbedding(BaseEmbedding):  # type: ignore[misc]
             " Defaults to None, meaning it will loop until the server is available."
         ),
     )
-    headers: Dict[str, str] = Field(
+    headers: Optional[Dict[str, str]] = Field(
         default=None,
         description=(
             "Additional headers to send to the server. By default only the"
             " authorization and user-agent headers are sent. Values in this dictionary"
             " will override the default values."
         ),
     )
-    cookies: Dict[str, str] = Field(
+    cookies: Optional[Dict[str, str]] = Field(
         default=None, description="Additional cookies to send to the server."
     )
     task: Optional[str] = Field(

llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/pyproject.toml

@@ -27,7 +27,7 @@ exclude = ["**/BUILD"]
 license = "MIT"
 name = "llama-index-embeddings-huggingface-api"
 readme = "README.md"
-version = "0.2.0"
+version = "0.2.1"
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"

llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/tests/test_hf_inference.py

@@ -106,3 +106,10 @@ def test_serialization(
         assert serialized["model_name"] == STUB_MODEL_NAME
         # Check Hugging Face Inference API Embeddings derived class specifics
         assert serialized["pooling"] == Pooling.CLS
+
+    def test_serde(
+        self, hf_inference_api_embedding: HuggingFaceInferenceAPIEmbedding
+    ) -> None:
+        serialized = hf_inference_api_embedding.model_dump()
+        deserialized = HuggingFaceInferenceAPIEmbedding.model_validate(serialized)
+        assert deserialized.headers == hf_inference_api_embedding.headers