project · 2025-2026

TomTom Maps SDK Agent Toolkit

Headless plugin giving any Vercel-AI-SDK-compatible LLM (Anthropic, OpenAI, Azure, Google) conversational control over a TomTom map. Contributed to design and implementation.

A headless plugin for the TomTom Maps SDK for JavaScript that gives any Vercel AI SDK-compatible LLM (Anthropic Claude, OpenAI GPT, Azure OpenAI, Google Gemini) conversational control over a map. Contributed to design and implementation.

What it solves

Putting a chat box on a map is easy. Wiring an LLM to actually control the map, search for places, drop pins, draw routes, change zoom, query traffic, manage the places module’s render state, is a hundred small integration headaches. The Agent Toolkit collapses all of that into a single drop-in plugin.

How it works

Developer code stays minimal:

const agent = mapsAgent({ map, llm: anthropic('claude-sonnet-4-5') });
await agent.process('show me cafes in Berlin Mitte and route from there to my office');

Behind the scenes the plugin:

1. Classifies intent via the LLM (search? routing? traffic?).
2. Dispatches one or more of 30+ pre-built tools.
3. Manages map state (markers, layers, fit-to-bounds, route polylines).
4. Returns a coherent response and renders results without dev intervention.

Why this matters

The toolkit is provider-agnostic, it speaks the Vercel AI SDK’s tool interface, so swapping Claude for GPT for an open-source model is a one-line change. That’s a hedge against single-vendor lock-in baked into the SDK itself, which is the right default for any agentic toolkit shipped today.

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