(bug-fix) : fix VertexAI missing configurations (#1926)

docs/mint.json

@@ -126,6 +126,7 @@
                 "components/embedders/models/azure_openai",
                 "components/embedders/models/ollama",
                 "components/embedders/models/huggingface",
+                "components/embedders/models/vertexai",
                 "components/embedders/models/gemini"
               ]
             }

mem0/configs/embeddings/base.py

@@ -25,6 +25,8 @@ class BaseEmbedderConfig(ABC):
         # AzureOpenAI specific
         azure_kwargs: Optional[AzureConfig] = {},
         http_client_proxies: Optional[Union[Dict, str]] = None,
+        # VertexAI specific
+        vertex_credentials_json: Optional[str] = None,
     ):
         """
         Initializes a configuration class instance for the Embeddings.
@@ -63,3 +65,6 @@ class BaseEmbedderConfig(ABC):
 
         # AzureOpenAI specific
         self.azure_kwargs = AzureConfig(**azure_kwargs) or {}
+
+        # VertexAI specific
+        self.vertex_credentials_json = vertex_credentials_json

mem0/embeddings/vertexai.py

@@ -7,7 +7,7 @@ from mem0.configs.embeddings.base import BaseEmbedderConfig
 from mem0.embeddings.base import EmbeddingBase
 
 
-class VertexAI(EmbeddingBase):
+class VertexAIEmbedding(EmbeddingBase):
     def __init__(self, config: Optional[BaseEmbedderConfig] = None):
         super().__init__(config)
 

mem0/utils/factory.py

@@ -42,6 +42,7 @@ class EmbedderFactory:
         "huggingface": "mem0.embeddings.huggingface.HuggingFaceEmbedding",
         "azure_openai": "mem0.embeddings.azure_openai.AzureOpenAIEmbedding",
         "gemini": "mem0.embeddings.gemini.GoogleGenAIEmbedding",
+        "vertexai": "mem0.embeddings.vertexai.VertexAIEmbedding",
     }
 
     @classmethod

tests/embeddings/test_vertexai_embeddings.py

@@ -1,6 +1,6 @@
 import pytest
 from unittest.mock import Mock, patch
-from mem0.embeddings.vertexai import VertexAI
+from mem0.embeddings.vertexai import VertexAIEmbedding
 from mem0.configs.embeddings.base import BaseEmbedderConfig
 
 
@@ -32,7 +32,7 @@ def test_embed_default_model(mock_text_embedding_model, mock_os_environ, mock_co
     mock_config.return_value.embedding_dims = 256
 
     config = mock_config()
-    embedder = VertexAI(config)
+    embedder = VertexAIEmbedding(config)
 
     mock_embedding = Mock(values=[0.1, 0.2, 0.3])
     mock_text_embedding_model.from_pretrained.return_value.get_embeddings.return_value = [
@@ -57,7 +57,7 @@ def test_embed_custom_model(mock_text_embedding_model, mock_os_environ, mock_con
 
     config = mock_config()
 
-    embedder = VertexAI(config)
+    embedder = VertexAIEmbedding(config)
 
     mock_embedding = Mock(values=[0.4, 0.5, 0.6])
     mock_text_embedding_model.from_pretrained.return_value.get_embeddings.return_value = [
@@ -81,7 +81,7 @@ def test_credentials_from_environment(mock_os, mock_text_embedding_model, mock_c
     mock_os.getenv.return_value = "/path/to/env/credentials.json"
     mock_config.vertex_credentials_json = None
     config = mock_config()
-    VertexAI(config)
+    VertexAIEmbedding(config)
 
     mock_os.environ.setitem.assert_not_called()
 
@@ -96,7 +96,7 @@ def test_missing_credentials(mock_os, mock_text_embedding_model, mock_config):
     with pytest.raises(
         ValueError, match="Google application credentials JSON is not provided"
     ):
-        VertexAI(config)
+        VertexAIEmbedding(config)
 
 
 @patch("mem0.embeddings.vertexai.TextEmbeddingModel")
@@ -107,7 +107,7 @@ def test_embed_with_different_dimensions(
     mock_config.return_value.embedding_dims = 1024
 
     config = mock_config()
-    embedder = VertexAI(config)
+    embedder = VertexAIEmbedding(config)
 
     mock_embedding = Mock(values=[0.1] * 1024)
     mock_text_embedding_model.from_pretrained.return_value.get_embeddings.return_value = [