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Fetch the complete documentation index at: https://docs.tensormesh.ai/llms.txt

Use this file to discover all available pages before exploring further.

The public repository includes a Next.js starter under examples/next-starter. It is reference code for application integration and is not included in the npm package tarball. It demonstrates:
  • Streaming chat with streamText
  • Structured output with Zod-backed schemas
  • Tool calling with AI SDK tools
  • Runtime model selection from /v1/models
  • Serverless by default, with optional on-demand inference settings
Clone the repository and install dependencies: 
git clone https://github.com/Tensormesh-Production/tensormesh-ai-sdk-provider.git
cd tensormesh-ai-sdk-provider/examples/next-starter
npm install
cp .env.local.example .env.local
Set at least: 
TENSORMESH_INFERENCE_API_KEY=your-api-key
TENSORMESH_CHAT_MODEL=mistralai/Devstral-2-123B-Instruct-2512
Optional: 
TENSORMESH_STRUCTURED_MODEL=mistralai/Devstral-2-123B-Instruct-2512
TENSORMESH_TOOL_MODEL=mistralai/Devstral-2-123B-Instruct-2512
TENSORMESH_BASE_URL=https://YOUR_ON_DEMAND_BASE_URL/v1
TENSORMESH_USER_ID=your-user-id
See the starter README for the full setup.