This directory contains demo projects that showcase how to use TetherAI providers in different environments.

A minimal chat application built with Next.js 14 App Router and Edge runtime.

1. Navigate to the example:

   cd examples/nextjs

2. Install dependencies:

   pnpm install
   # or: npm install / yarn install

3. Set your OpenAI API key in environment:

   export OPENAI_API_KEY=sk-...

   Or create .env.local file with:

   OPENAI_API_KEY=sk-...
   

4. Start the dev server:

   pnpm dev

   Open http://localhost:3000 in your browser.

A minimal backend-only example using a native Node.js HTTP server that streams responses via SSE.

1. Navigate to the example:

   cd examples/node

2. Install dependencies:

   pnpm install

3. Set your OpenAI API key in environment:

   export OPENAI_API_KEY=sk-...

4. Start the server:

   pnpm dev

   The server listens on http://localhost:8787.

Send a chat request and watch the SSE stream:

curl -N -X POST http://localhost:8787/chat \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [{ "role": "user", "content": "Say hi in 5 words." }]
  }'

You should see data: {...} chunks streaming back until {"done": true}.

• Streaming responses via Server-Sent Events (SSE)
• withRetry middleware for transient errors (429, 5xx)
• withFallback middleware (prepared for multiple providers)
• Edge runtime compatible

Additional examples (Node.js, React hooks) will be added in future iterations.