LLM Analytics Apps

Example implementations of various LLM providers using PostHog's AI SDKs. This repository demonstrates how to integrate multiple AI providers (Anthropic, OpenAI, Google Gemini) with PostHog for analytics tracking.

🔧 Prerequisites

For Python:

Python 3.8 or higher
pip package manager

For Node.js:

Node.js 16 or higher
npm package manager

⚙️ Setup

Configure environment variables:
```
cp .env.example .env
```
Edit .env and add your API keys:
- ANTHROPIC_API_KEY: Your Anthropic API key
- GEMINI_API_KEY: Your Google Gemini API key
- OPENAI_API_KEY: Your OpenAI API key
- POSTHOG_API_KEY: Your PostHog API key
- POSTHOG_HOST: PostHog host (defaults to https://app.posthog.com)
Run the application:

For Python:
```
cd python
./run.sh
```
For Node.js:
```
cd node
./run.sh
```

The run.sh script will automatically:

Set up a virtual environment (Python) or install dependencies (Node)
Install all required packages
Start the interactive CLI

🎮 Usage

Test Modes

Chat Mode: Interactive conversation with the selected provider
Tool Call Test: Automatically tests weather tool calling
Message Test: Simple greeting test
Image Test: Tests image description capabilities
Embeddings Test: Tests embedding generation (OpenAI only)

🛠️ Development

Local Development with PostHog SDKs

If you're developing the PostHog SDKs locally, you can use local paths instead of published packages:

Set environment variables in your .env:

# For local PostHog SDK development
POSTHOG_PYTHON_PATH=/../posthog-python
POSTHOG_JS_PATH=/../posthog-js

Run the application normally with ./run.sh

The scripts will automatically detect and use your local SDK versions.

📝 License

MIT License - see LICENSE file for details

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

PostHog/llm-analytics-apps