@weaveintel/provider-google

The adapter that lets weaveIntel talk to Google's Gemini models through the framework's common provider interface.

Why it exists

Every AI vendor speaks its own dialect: the request shape, the field names, the way tool calls and images come back are all a little different. Wire your app straight to one vendor and switching later means a rewrite. Think of this package as a power adapter for travelling abroad — your laptop (the rest of weaveIntel) plugs into the same socket everywhere, and the adapter handles the local wiring. This one handles the Google Gemini socket.

When to reach for it

Reach for this when you want your agents and pipelines to run on Gemini — for chat, tool use, vision, and streaming. Prefer Claude instead? Use @weaveintel/provider-anthropic. Prefer GPT models? Use @weaveintel/provider-openai. Want to run locally on your own machine? Use @weaveintel/provider-ollama or @weaveintel/provider-llamacpp. The code that consumes the model stays the same whichever you pick.

How to use it

import { weaveGoogle } from '@weaveintel/provider-google';

// One Gemini instance, ready behind the framework's common interface.
const model = weaveGoogle('gemini-2.5-flash');

const reply = await model.generate({
  messages: [{ role: 'user', content: 'Explain photosynthesis in one sentence.' }],
});

console.log(reply.text);

Importing the package auto-registers the google and gemini providers with the model router, so routing can find them by name.

What's in the box

| Export | What it does | | --- | --- | | weaveGoogle | Quick way to get a ready-to-use Gemini model instance by id. | | weaveGoogleModel | The underlying model class, for finer control. | | weaveGoogleConfig | Configuration used when constructing a model (API key, base URL, etc.). | | GoogleProviderOptions | The TypeScript type describing those options. |

License

MIT.