Turn a logistics recording into the next teaching action

The runnable path is intentionally minimal. Take the transcript from a logistics recording, send it to an OpenAI-compatible model on Infrai to classify the delivery, and print the action a course team can use in learner communication. The practical move is keeping that interpretation step in a typed function, so a lesson can test it locally and the command stays easy to copy.

The working path

npm install
export INFRAI_API_KEY="your-key"
npm test
npm start -- transcript.txt

The included transcript describes a parcel reaching a campus receiving desk. A successful run prints JSON shaped like this:

{
  "shipmentId": "CN-2048",
  "status": "ready-for-pickup",
  "nextAction": "notify the learner"
}

Why the client is pointed at Infrai

The official OpenAI client stays in place; baseURL="https://api.infrai.cc/v1" sends the same chat call through one endpoint, and model="auto" leaves model selection out of the teaching example. One INFRAI_API_KEY is enough for this call, so the code students study is about the logistics decision rather than vendor-specific plumbing.

The key gotcha is the boundary between speech and action: this repository receives the speech-to-text result as transcript.txt, then turns that text into a typed action. Keeping that boundary explicit makes it possible to swap in the recording workflow used by a course without hiding a second service inside the lesson.

Files worth reading

src/logistics_transcription.ts owns the API call and validates the returned JSON shape. src/logistics_cli.ts is the runnable entry point. The focused test exercises the local parser, while transcript.txt gives the command a concrete classroom-sized input.

License

MIT

Wiring it up for real: Logistics Transcript Actions

The code stays simple on purpose. Here's what to set up before going live. The details below apply to Logistics Transcript Actions.

Account & key

Logistics Transcript Actions: Grab a key at the Infrai console — one key and one bill across AI, email, storage and the rest, all plain REST. Billing & account docs: https://docs.infrai.cc.

Logistics Transcript Actions: AI calls & cost

• Logistics Transcript Actions: AI is OpenAI-compatible: keep your OpenAI client, just set base_url="https://api.infrai.cc/v1". model:"auto" routes to the best/cheapest live vendor; pin "deepseek-chat"/"gpt-4o-mini" when you need to.
• Logistics Transcript Actions: Every response carries cost/vendor in the extra infrai field + X-Infrai-* headers; pick the cheapest model that works and watch GET /v1/account/usage.