feat(ai): add Google Gemini LLM provider support

backend/.env.example

@@ -11,6 +11,8 @@ DJANGO_DB_PASSWORD=None
 DJANGO_DB_PORT=None
 DJANGO_DB_USER=None
 DJANGO_ELEVENLABS_API_KEY=None
+DJANGO_GOOGLE_API_KEY=None
+DJANGO_LLM_PROVIDER=None
 DJANGO_OPEN_AI_SECRET_KEY=None
 DJANGO_PUBLIC_IP_ADDRESS="127.0.0.1"
 DJANGO_REDIS_HOST=None

backend/apps/ai/common/llm_config.py

@@ -2,32 +2,46 @@
 
 from __future__ import annotations
 
-import os
+import logging
 
 from crewai import LLM
+from django.conf import settings
+
+logger = logging.getLogger(__name__)
 
 
 def get_llm() -> LLM:
     """Get configured LLM instance.
 
     Returns:
-        LLM: Configured LLM instance with gpt-4.1-mini as default model.
+        LLM: Configured LLM instance based on settings.
 
     """
-    provider = os.getenv("LLM_PROVIDER", "openai")
+    provider = settings.LLM_PROVIDER
 
     if provider == "openai":
         return LLM(
-            model=os.getenv("OPENAI_MODEL_NAME", "gpt-4.1-mini"),
-            api_key=os.getenv("DJANGO_OPEN_AI_SECRET_KEY"),
+            model=settings.OPEN_AI_MODEL_NAME,
+            api_key=settings.OPEN_AI_SECRET_KEY,
             temperature=0.1,
         )
-    if provider == "anthropic":
+    if provider == "google":
         return LLM(
-            model=os.getenv("ANTHROPIC_MODEL_NAME", "claude-3-5-sonnet-20241022"),
-            api_key=os.getenv("ANTHROPIC_API_KEY"),
+            model=settings.GOOGLE_MODEL_NAME,
+            base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
+            api_key=settings.GOOGLE_API_KEY,
             temperature=0.1,
         )
 
-    error_msg = f"Unsupported LLM provider: {provider}"
-    raise ValueError(error_msg)
+    # Fallback to OpenAI if provider not recognized or not specified
+    if provider and provider not in ("openai", "google"):
+        logger.error(
+            "Unrecognized LLM_PROVIDER '%s'. Falling back to OpenAI. "
+            "Supported providers: 'openai', 'google'",
+            provider,
+        )
+    return LLM(
+        model=settings.OPEN_AI_MODEL_NAME,
+        api_key=settings.OPEN_AI_SECRET_KEY,
+        temperature=0.1,
+    )

backend/apps/ai/embeddings/factory.py

@@ -1,18 +1,24 @@
 """Factory function to get the configured embedder."""
 
+from django.conf import settings
+
 from apps.ai.embeddings.base import Embedder
+from apps.ai.embeddings.google import GoogleEmbedder
 from apps.ai.embeddings.openai import OpenAIEmbedder
 
 
 def get_embedder() -> Embedder:
     """Get the configured embedder.
 
-    Currently returns OpenAI embedder, but can be extended to support
+    Currently returns OpenAI and Google embedder, but can be extended to support
     other providers (e.g., Anthropic, Cohere, etc.).
 
     Returns:
         Embedder instance configured for the current provider.
 
     """
-    # Currently OpenAI, but can be extended to support other providers
+    # Currently OpenAI and Google, but can be extended to support other providers
+    if settings.LLM_PROVIDER == "google":
+        return GoogleEmbedder()
+
     return OpenAIEmbedder()