# Genkit Chat Demo
This sample demonstrates how to build a full-featured web chat application using Genkit's session and chat APIs with Streamlit.
## Features
* **Multi-Model Support**: Switch between Google (Gemini), Anthropic (Claude), DeepSeek, xAI (Grok), OpenAI, and Ollama.
* **Multiple Conversations**: Create and manage parallel chat threads.
* **Persistent Sessions**: Conversation history maintained per thread.
* **Streaming**: Real-time response streaming.
* **Rich UI**: Built with Streamlit for a web-based experience.
## Running
```bash
./run.sh
```
This launches the Streamlit app. Configure API keys in the sidebar.
## Key APIs Demonstrated
| API | Description | Example |
|-----|-------------|---------|
| `ai.chat()` | Create a chat with thread support | `chat = ai.chat(thread='conv1')` |
| `chat.send()` | Send message, get complete response | `response = await chat.send('Hi')` |
| `chat.send_stream()` | Send message, stream response | `result = chat.send_stream('Hi')` |
| `chat.thread` | Get the thread name | `print(chat.thread)` |
## Prerequisites
* Python 3.12+
* `uv` (recommended)
## Setup
Set your API keys as environment variables:
```bash
export GEMINI_API_KEY=your-key # For Google Gemini
export ANTHROPIC_API_KEY=your-key # For Anthropic Claude
export DEEPSEEK_API_KEY=your-key # For DeepSeek
export XAI_API_KEY=your-key # For xAI Grok
export OPENAI_API_KEY=your-key # For OpenAI
```
For Vertex AI, also set:
```bash
export VERTEX_AI_PROJECT_ID=your-project
export VERTEX_AI_LOCATION=us-central1
```
For Ollama, ensure your Ollama server is running locally.
## Related Samples
* `session-demo/` - Lower-level session management examples
