feat: support Gemini via Vertex AI as LLM provider (#4030)

Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
2026-06-16 16:59:06 +05:30
parent 7c841a2bce
commit d772f9a961
4 changed files with 160 additions and 5 deletions
@@ -0,0 +1,64 @@
+import os
+from typing import Optional
+
+from mem0.configs.llms.base import BaseLlmConfig
+
+
+class GeminiConfig(BaseLlmConfig):
+    """
+    Configuration class for Google Gemini LLM.
+
+    Supports both the Gemini Developer API (via API key) and Vertex AI (via GCP credentials).
+    """
+
+    def __init__(
+        self,
+        # Base parameters
+        model: Optional[str] = None,
+        temperature: float = 0.1,
+        api_key: Optional[str] = None,
+        max_tokens: int = 2000,
+        top_p: float = 0.1,
+        top_k: int = 1,
+        enable_vision: bool = False,
+        vision_details: Optional[str] = "auto",
+        http_client_proxies: Optional[dict] = None,
+        # Gemini-specific parameters
+        vertexai: Optional[bool] = None,
+        project: Optional[str] = None,
+        location: Optional[str] = None,
+    ):
+        """
+        Initialize Gemini configuration.
+
+        Args:
+            model: Gemini model to use (e.g., "gemini-2.0-flash"), defaults to None
+            temperature: Controls randomness, defaults to 0.1
+            api_key: Google API key for the Gemini Developer API, defaults to None
+            max_tokens: Maximum tokens to generate, defaults to 2000
+            top_p: Nucleus sampling parameter, defaults to 0.1
+            top_k: Top-k sampling parameter, defaults to 1
+            enable_vision: Enable vision capabilities, defaults to False
+            vision_details: Vision detail level, defaults to "auto"
+            http_client_proxies: HTTP client proxy settings, defaults to None
+            vertexai: Whether to use Vertex AI backend. If None, checks GOOGLE_GENAI_USE_VERTEXAI env var.
+            project: GCP project ID for Vertex AI. If None, checks GOOGLE_CLOUD_PROJECT env var.
+            location: GCP location for Vertex AI. If None, checks GOOGLE_CLOUD_LOCATION env var.
+        """
+        super().__init__(
+            model=model,
+            temperature=temperature,
+            api_key=api_key,
+            max_tokens=max_tokens,
+            top_p=top_p,
+            top_k=top_k,
+            enable_vision=enable_vision,
+            vision_details=vision_details,
+            http_client_proxies=http_client_proxies,
+        )
+
+        if vertexai is None:
+            vertexai = os.getenv("GOOGLE_GENAI_USE_VERTEXAI", "").lower() in ("true", "1", "yes")
+        self.vertexai = vertexai
+        self.project = project or os.getenv("GOOGLE_CLOUD_PROJECT")
+        self.location = location or os.getenv("GOOGLE_CLOUD_LOCATION", "us-central1")