aparté examples

Apps built on aparté, an MIT chat UI for AI made of Web Components. Each folder is a whole app: copy it and run it, or open it in StackBlitz when it runs there.

Example	Stack	What it shows	Try it
sveltekit-ai-sdk	SvelteKit, Vercel AI SDK	A tool the model can only run once the user approves it, drawn by a Svelte component; Markdown formatted as it streams	StackBlitz
langgraph-ag-ui	LangGraph, AG-UI	A Python agent streaming into the chat, and a tool that waits for a person through interrupt()	On your machine
pydantic-ai-ag-ui	Pydantic AI, AG-UI	A Python agent streaming into the chat, and a tool that waits for a person through requires_approval	On your machine
google-adk-ag-ui	Google ADK, AG-UI	A Python agent streaming into the chat, a tool that waits for a person through require_confirmation, and ADK's confirmation tool kept off the transcript	On your machine

Run one on your machine

npx degit apartejs/examples/sveltekit-ai-sdk my-chat
cd my-chat
npm install
npm run dev

With no API key, an example answers with a scripted model, which is how it runs on StackBlitz. Each folder's .env.example names the key that switches it to a real model. An example with a Python agent starts that agent first: its README has the commands.

Adding an example

• One folder, one app. Nothing is installed at the root, and no folder imports from another: a folder copied alone must run.
• Name it after its stack, framework first: sveltekit-ai-sdk, nextjs-ai-sdk. Add the topic only when two examples share a stack.
• aparté comes from npm, at a published version, with the lockfile committed: the example installs what a reader's app would.
• It runs without a key. A scripted model answers when the key is missing, and its answer says it is scripted.
• It has check and build scripts. CI runs npm ci, npm run check and npm run build in every folder that has a package.json, and Dependabot updates each folder's lockfile. A folder with a requirements.txt holds a Python agent: CI installs it and runs its smoke_test.py.
• Its README says how to try it, with a StackBlitz link when it runs there (a Python agent does not), and it gets a row in the table above.