feat: add Gemini provider support

- Update configuration schema to include Gemini provider
- Modify API key retrieval priority to include Gemini
- Enhance CLI status command to display Gemini API status
- Update LiteLLMProvider to support Gemini integration

nanobot/cli/commands.py

@@ -624,11 +624,13 @@ def status():
         has_openrouter = bool(config.providers.openrouter.api_key)
         has_anthropic = bool(config.providers.anthropic.api_key)
         has_openai = bool(config.providers.openai.api_key)
+        has_gemini = bool(config.providers.gemini.api_key)
         has_vllm = bool(config.providers.vllm.api_base)
         
         console.print(f"OpenRouter API: {'[green]✓[/green]' if has_openrouter else '[dim]not set[/dim]'}")
         console.print(f"Anthropic API: {'[green]✓[/green]' if has_anthropic else '[dim]not set[/dim]'}")
         console.print(f"OpenAI API: {'[green]✓[/green]' if has_openai else '[dim]not set[/dim]'}")
+        console.print(f"Gemini API: {'[green]✓[/green]' if has_gemini else '[dim]not set[/dim]'}")
         vllm_status = f"[green]✓ {config.providers.vllm.api_base}[/green]" if has_vllm else "[dim]not set[/dim]"
         console.print(f"vLLM/Local: {vllm_status}")
 

nanobot/config/schema.py

@@ -51,6 +51,7 @@ class ProvidersConfig(BaseModel):
     openai: ProviderConfig = Field(default_factory=ProviderConfig)
     openrouter: ProviderConfig = Field(default_factory=ProviderConfig)
     vllm: ProviderConfig = Field(default_factory=ProviderConfig)
+    gemini: ProviderConfig = Field(default_factory=ProviderConfig)
 
 
 class GatewayConfig(BaseModel):
@@ -89,11 +90,12 @@ class Config(BaseSettings):
         return Path(self.agents.defaults.workspace).expanduser()
     
     def get_api_key(self) -> str | None:
-        """Get API key in priority order: OpenRouter > Anthropic > OpenAI > vLLM."""
+        """Get API key in priority order: OpenRouter > Anthropic > OpenAI > Gemini > vLLM."""
         return (
             self.providers.openrouter.api_key or
             self.providers.anthropic.api_key or
             self.providers.openai.api_key or
+            self.providers.gemini.api_key or
             self.providers.vllm.api_key or
             None
         )

nanobot/providers/litellm_provider.py

@@ -13,7 +13,7 @@ class LiteLLMProvider(LLMProvider):
     """
     LLM provider using LiteLLM for multi-provider support.
     
-    Supports OpenRouter, Anthropic, OpenAI, and many other providers through
+    Supports OpenRouter, Anthropic, OpenAI, Gemini, and many other providers through
     a unified interface.
     """
     
@@ -47,6 +47,8 @@ class LiteLLMProvider(LLMProvider):
                 os.environ.setdefault("ANTHROPIC_API_KEY", api_key)
             elif "openai" in default_model or "gpt" in default_model:
                 os.environ.setdefault("OPENAI_API_KEY", api_key)
+            elif "gemini" in default_model.lower():
+                os.environ.setdefault("GEMINI_API_KEY", api_key)
         
         if api_base:
             litellm.api_base = api_base
@@ -86,6 +88,10 @@ class LiteLLMProvider(LLMProvider):
         if self.is_vllm:
             model = f"hosted_vllm/{model}"
         
+        # For Gemini, ensure gemini/ prefix if not already present
+        if "gemini" in model.lower() and not model.startswith("gemini/"):
+            model = f"gemini/{model}"
+        
         kwargs: dict[str, Any] = {
             "model": model,
             "messages": messages,