add gemini 3

README.md

@@ -58,6 +58,7 @@ anycoder/
 1. **Backend**:
 ```bash
 export HF_TOKEN="your_huggingface_token"
+export GEMINI_API_KEY="your_gemini_api_key"
 python backend_api.py
 ```
 
@@ -73,6 +74,7 @@ npm run dev
 ### Using start script:
 ```bash
 export HF_TOKEN="your_token"
+export GEMINI_API_KEY="your_gemini_api_key"
 ./start_fullstack.sh
 ```
 
@@ -100,6 +102,7 @@ This app runs as a Docker Space on HuggingFace. The Dockerfile:
 
 ## 🤖 Available Models
 
+- **Gemini 3 Pro Preview** (Default) - Google's latest with deep thinking & Google Search
 - MiniMax M2 (via HF router with Novita)
 - DeepSeek V3/V3.1
 - DeepSeek R1
@@ -116,6 +119,11 @@ This app runs as a Docker Space on HuggingFace. The Dockerfile:
 ## 🛠️ Environment Variables
 
 - `HF_TOKEN` - HuggingFace API token (required)
+- `GEMINI_API_KEY` - Google Gemini API key (required for Gemini 3 Pro Preview)
+- `POE_API_KEY` - Poe API key (optional, for GPT-5 and Claude models)
+- `DASHSCOPE_API_KEY` - DashScope API key (optional, for Qwen models)
+- `OPENROUTER_API_KEY` - OpenRouter API key (optional, for Sherlock models)
+- `MISTRAL_API_KEY` - Mistral API key (optional, for Mistral models)
 
 ## 📦 Tech Stack
 

anycoder_app/config.py

@@ -47,6 +47,11 @@ _fastrtc_docs_last_fetched: Optional[datetime] = None
 
 # Available Models Configuration
 AVAILABLE_MODELS = [
+    {
+        "name": "Gemini 3 Pro Preview",
+        "id": "gemini-3-pro-preview",
+        "description": "Google Gemini 3 Pro Preview with deep thinking, Google Search integration, and advanced reasoning"
+    },
     {
         "name": "DeepSeek V3.2-Exp",
         "id": "deepseek-ai/DeepSeek-V3.2-Exp",
@@ -152,7 +157,7 @@ AVAILABLE_MODELS = [
 k2_model_name_tag = "moonshotai/Kimi-K2-Thinking"
 
 # Default model selection
-DEFAULT_MODEL_NAME = "Sherlock Dash Alpha"
+DEFAULT_MODEL_NAME = "Gemini 3 Pro Preview"
 DEFAULT_MODEL = None
 for _m in AVAILABLE_MODELS:
     if _m.get("name") == DEFAULT_MODEL_NAME:

anycoder_app/deploy.py

@@ -420,8 +420,42 @@ Generate the exact search/replace blocks needed to make these changes."""
     
     messages.append({'role': 'user', 'content': enhanced_query})
     try:
+        # Handle Gemini 3 Pro Preview with native SDK
+        if _current_model["id"] == "gemini-3-pro-preview":
+            # Convert messages to Gemini format
+            from google.genai import types
+            contents = []
+            for msg in messages:
+                if msg['role'] != 'system':  # Gemini doesn't use system role the same way
+                    contents.append(
+                        types.Content(
+                            role="user" if msg['role'] == 'user' else "model",
+                            parts=[types.Part.from_text(text=msg['content'])]
+                        )
+                    )
+            
+            # Add system prompt as first user message if exists
+            if messages and messages[0]['role'] == 'system':
+                system_content = messages[0]['content']
+                contents.insert(0, types.Content(
+                    role="user",
+                    parts=[types.Part.from_text(text=f"System instructions: {system_content}")]
+                ))
+            
+            tools = [types.Tool(googleSearch=types.GoogleSearch())]
+            generate_content_config = types.GenerateContentConfig(
+                thinkingConfig=types.ThinkingConfig(thinkingLevel="HIGH"),
+                tools=tools,
+                max_output_tokens=16384
+            )
+            
+            completion = client.models.generate_content_stream(
+                model="gemini-3-pro-preview",
+                contents=contents,
+                config=generate_content_config,
+            )
         # Handle Mistral API method difference
-        if _current_model["id"] in ("codestral-2508", "mistral-medium-2508"):
+        elif _current_model["id"] in ("codestral-2508", "mistral-medium-2508"):
             completion = client.chat.stream(
                 model=get_real_model_id(_current_model["id"]),
                 messages=messages,
@@ -479,7 +513,11 @@ Generate the exact search/replace blocks needed to make these changes."""
         for chunk in completion:
             # Handle different response formats for Mistral vs others
             chunk_content = None
-            if _current_model["id"] in ("codestral-2508", "mistral-medium-2508"):
+            if _current_model["id"] == "gemini-3-pro-preview":
+                # Gemini native SDK format: chunk.text
+                if hasattr(chunk, 'text') and chunk.text:
+                    chunk_content = chunk.text
+            elif _current_model["id"] in ("codestral-2508", "mistral-medium-2508"):
                 # Mistral format: chunk.data.choices[0].delta.content
                 if (
                     hasattr(chunk, "data") and chunk.data and

anycoder_app/models.py

@@ -11,6 +11,8 @@ from huggingface_hub import InferenceClient
 from openai import OpenAI
 from mistralai import Mistral
 import dashscope
+from google import genai
+from google.genai import types
 
 from .config import HF_TOKEN, AVAILABLE_MODELS
 
@@ -20,7 +22,12 @@ Messages = List[Dict[str, str]]
 
 def get_inference_client(model_id, provider="auto"):
     """Return an InferenceClient with provider based on model_id and user selection."""
-    if model_id == "qwen3-30b-a3b-instruct-2507":
+    if model_id == "gemini-3-pro-preview":
+        # Use native Google GenAI client for Gemini 3 Pro Preview
+        return genai.Client(
+            api_key=os.getenv("GEMINI_API_KEY"),
+        )
+    elif model_id == "qwen3-30b-a3b-instruct-2507":
         # Use DashScope OpenAI client
         return OpenAI(
             api_key=os.getenv("DASHSCOPE_API_KEY"),

requirements.txt

@@ -12,4 +12,5 @@ beautifulsoup4
 html2text
 openai
 mistralai
-dashscope
+dashscope
+google-genai