fix(python): huggingface TEI auth, procedural-memory content handling, and proxy pip auto-install (#6947)

tests/embeddings/test_huggingface_embeddings.py

@@ -72,7 +72,8 @@ def test_embed_with_custom_embedding_dims(mock_sentence_transformer):
     assert result == [1.0, 1.1, 1.2]
 
 
-def test_embed_with_huggingface_base_url():
+def test_embed_with_huggingface_base_url(monkeypatch):
+    monkeypatch.delenv("HUGGINGFACE_API_KEY", raising=False)
     config = BaseEmbedderConfig(
         huggingface_base_url="http://localhost:8080",
         model="my-custom-model",
@@ -81,20 +82,20 @@ def test_embed_with_huggingface_base_url():
     with patch("mem0.embeddings.huggingface.OpenAI") as mock_openai:
         mock_client = Mock()
         mock_openai.return_value = mock_client
-        
+
         # Create a mock for the response object and its attributes
         mock_embedding_response = Mock()
         mock_embedding_response.embedding = [0.1, 0.2, 0.3]
-        
+
         mock_create_response = Mock()
         mock_create_response.data = [mock_embedding_response]
-        
+
         mock_client.embeddings.create.return_value = mock_create_response
 
         embedder = HuggingFaceEmbedding(config)
         result = embedder.embed("Hello from custom endpoint")
 
-        mock_openai.assert_called_once_with(base_url="http://localhost:8080", api_key=None)
+        mock_openai.assert_called_once_with(base_url="http://localhost:8080", api_key="hf")
         mock_client.embeddings.create.assert_called_once_with(
             input="Hello from custom endpoint",
             model="my-custom-model",
@@ -115,6 +116,26 @@ def test_embed_with_huggingface_base_url_forwards_api_key():
         mock_openai.assert_called_once_with(base_url="http://localhost:8080", api_key="tei-token")
 
 
+def test_embed_with_huggingface_base_url_falls_back_to_env_var(monkeypatch):
+    monkeypatch.setenv("HUGGINGFACE_API_KEY", "env-token")
+    config = BaseEmbedderConfig(huggingface_base_url="http://localhost:8080", model="my-custom-model")
+    with patch("mem0.embeddings.huggingface.OpenAI") as mock_openai:
+        HuggingFaceEmbedding(config)
+
+        mock_openai.assert_called_once_with(base_url="http://localhost:8080", api_key="env-token")
+
+
+def test_embed_with_huggingface_base_url_config_key_beats_env_var(monkeypatch):
+    monkeypatch.setenv("HUGGINGFACE_API_KEY", "env-token")
+    config = BaseEmbedderConfig(
+        huggingface_base_url="http://localhost:8080", model="my-custom-model", api_key="config-token"
+    )
+    with patch("mem0.embeddings.huggingface.OpenAI") as mock_openai:
+        HuggingFaceEmbedding(config)
+
+        mock_openai.assert_called_once_with(base_url="http://localhost:8080", api_key="config-token")
+
+
 def test_embed_batch_sentence_transformer(mock_sentence_transformer):
     config = BaseEmbedderConfig()
     embedder = HuggingFaceEmbedding(config)