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Documentation Index

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

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

The provider includes direct helpers for Tensormesh endpoints that are not represented by an AI SDK language model object.

​
Models

import { tensormesh } from "@tensormesh/ai-sdk-provider";

const models = await tensormesh.models.list();
console.log(models.data.map((model) => model.id));

​
Responses

import { tensormesh } from "@tensormesh/ai-sdk-provider";

const response = await tensormesh.responses.create({
  model: "mistralai/Devstral-2-123B-Instruct-2512",
  input: "Write a short product announcement.",
});

console.log(response);
For streaming Responses API calls: 
const stream = await tensormesh.responses.stream({
  model: "mistralai/Devstral-2-123B-Instruct-2512",
  input: "Stream a short product announcement.",
});

const reader = stream.body?.getReader();
const decoder = new TextDecoder();

while (reader) {
  const { value, done } = await reader.read();
  if (done) break;
  process.stdout.write(decoder.decode(value, { stream: true }));
}

​
Tokenize And Detokenize

const tokenized = await tensormesh.tokenize.create({
  model: "mistralai/Devstral-2-123B-Instruct-2512",
  prompt: "Hello from Tensormesh",
});

const detokenized = await tensormesh.detokenize.create({
  model: "mistralai/Devstral-2-123B-Instruct-2512",
  tokens: tokenized.tokens,
});

​
Health And Version

const health = await tensormesh.health.get();
const version = await tensormesh.version.get();

console.log({ health, version });
The serverless models, health, and version endpoints can be called without an inference API key. Generation, Responses API, tokenize, and detokenize requests require an API key.