Metadata-Version: 2.4
Name: ai-proxy-core
Version: 0.1.8
Summary: Minimal, reusable AI service handlers for Gemini and other LLMs
Home-page: https://github.com/ebowwa/ai-proxy-core
Author: ebowwa
Author-email: ebowwa <your-email@example.com>
License: MIT
Project-URL: Homepage, https://github.com/ebowwa/ai-proxy-core
Project-URL: Repository, https://github.com/ebowwa/ai-proxy-core
Project-URL: Issues, https://github.com/ebowwa/ai-proxy-core/issues
Keywords: ai,gemini,llm,api,proxy
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: google-genai>=0.1.0
Requires-Dist: pillow>=10.0.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: pytest-asyncio>=0.21.0; extra == "dev"
Requires-Dist: build>=0.10.0; extra == "dev"
Requires-Dist: twine>=4.0.0; extra == "dev"
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# AI Proxy Core

A minimal Python package providing reusable AI service handlers for Gemini and other LLMs. No web framework dependencies - just the core logic.

## Installation

```bash
pip install ai-proxy-core
```

Or install from source:
```bash
git clone https://github.com/ebowwa/ai-proxy-core.git
cd ai-proxy-core
pip install -e .
```

## Usage

### Completions Handler

```python
from ai_proxy_core import CompletionsHandler

# Initialize handler
handler = CompletionsHandler(api_key="your-gemini-api-key")

# Create completion
response = await handler.create_completion(
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ],
    model="gemini-1.5-flash",
    temperature=0.7
)

print(response["choices"][0]["message"]["content"])
```

### Gemini Live Session

```python
from ai_proxy_core import GeminiLiveSession

# Example 1: Basic session (no system prompt)
session = GeminiLiveSession(api_key="your-gemini-api-key")

# Example 2: Session with system prompt (simple string format)
session = GeminiLiveSession(
    api_key="your-gemini-api-key",
    system_instruction="You are a helpful voice assistant. Be concise and friendly."
)

# Example 3: Session with built-in tools enabled
session = GeminiLiveSession(
    api_key="your-gemini-api-key",
    enable_code_execution=True,      # Enable Python code execution
    enable_google_search=True,       # Enable web search
    system_instruction="You are a helpful assistant with access to code execution and web search."
)

# Example 4: Session with custom function declarations
from google.genai import types

def get_weather(location: str) -> dict:
    # Your custom function implementation
    return {"location": location, "temp": 72, "condition": "sunny"}

weather_function = types.FunctionDeclaration(
    name="get_weather",
    description="Get current weather for a location",
    parameters=types.Schema(
        type="OBJECT",
        properties={
            "location": types.Schema(type="STRING", description="City name")
        },
        required=["location"]
    )
)

session = GeminiLiveSession(
    api_key="your-gemini-api-key",
    custom_tools=[types.Tool(function_declarations=[weather_function])],
    system_instruction="You can help with weather information."
)

# Set up callbacks
session.on_audio = lambda data: print(f"Received audio: {len(data)} bytes")
session.on_text = lambda text: print(f"Received text: {text}")
session.on_function_call = lambda call: handle_function_call(call)

async def handle_function_call(call):
    if call["name"] == "get_weather":
        result = get_weather(**call["args"])
        await session.send_function_result(result)

# Start session
await session.start()

# Send audio/text
await session.send_audio(audio_data)
await session.send_text("What's the weather in Boston?")

# Stop when done
await session.stop()
```

### Integration with FastAPI

#### Chat Completions API
```python
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from ai_proxy_core import CompletionsHandler

app = FastAPI()
handler = CompletionsHandler()

class CompletionRequest(BaseModel):
    messages: list
    model: str = "gemini-1.5-flash"
    temperature: float = 0.7

@app.post("/api/chat/completions")
async def create_completion(request: CompletionRequest):
    try:
        response = await handler.create_completion(
            messages=request.messages,
            model=request.model,
            temperature=request.temperature
        )
        return response
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))
```

#### WebSocket for Gemini Live
```python
from fastapi import FastAPI, WebSocket, WebSocketDisconnect
from ai_proxy_core import GeminiLiveSession

app = FastAPI()

@app.websocket("/ws/gemini")
async def gemini_websocket(
    websocket: WebSocket,
    enable_code_execution: bool = False,
    enable_google_search: bool = False
):
    await websocket.accept()
    
    # Create session with tools if requested
    session = GeminiLiveSession(
        enable_code_execution=enable_code_execution,
        enable_google_search=enable_google_search
    )
    
    # Set up callbacks to forward to WebSocket
    session.on_audio = lambda data: websocket.send_json({
        "type": "audio", "data": data
    })
    session.on_text = lambda text: websocket.send_json({
        "type": "text", "data": text
    })
    
    await session.start()
    
    try:
        async for message in websocket.iter_json():
            if message["type"] == "audio":
                await session.send_audio(message["data"])
            elif message["type"] == "text":
                await session.send_text(message["data"])
    except WebSocketDisconnect:
        await session.stop()
```

## Features

- **No framework dependencies** - Use with FastAPI, Flask, or any Python app
- **Async/await support** - Modern async Python
- **Type hints** - Full type annotations
- **Minimal surface area** - Just the core logic you need
- **Easy testing** - Mock the handlers in your tests
- **Built-in tools** - Code execution and Google Search with simple flags
- **Custom functions** - Add your own function declarations
- **Reusable design** - Tools configured by consumers, not hardcoded
- **WebSocket support** - Real-time audio/text streaming with Gemini Live
- **Callback system** - Handle responses with custom callbacks

## Development

### Building the Package

When building the package for distribution, use `setup.py` directly instead of `python -m build` to avoid pip isolation issues:

```bash
python setup.py sdist bdist_wheel
```

This will create both source distribution and wheel files in the `dist/` directory.

### Publishing to PyPI

```bash
twine upload dist/*
```

## License

MIT
