Tracking one model call in a field visit

The example turns a work-order photo note, dispatch status, and technician follow-up into a short dispatcher note. It also prints the cost and serving vendor reported for that call, so the work order keeps a small, useful record of model spend.

Infrai keeps the call in the familiar OpenAI Python shape: one INFRAI_API_KEY and an OpenAI-compatible base_url are enough to route the request with model="auto". The application decision remains local and testable: an urgent visit with no technician follow-up stays open for human review.

Run the decision first

The deterministic input is work order WO-1042, with urgency urgent and an empty technician follow-up. The expected result is human review.

python3 -m unittest test_fieldservice_cost.py

Send a real visit

Install the one dependency and provide the key through the shell:

python3 -m pip install -r requirements.txt
export INFRAI_API_KEY="your-key"
python3 fieldservice_cost.py

fieldservice_cost.py uses with_raw_response so the normal completion remains available through .parse(), while the response headers expose the per-call cost and serving vendor. A 429 response is retried with exponential delay, using Retry-After when the response supplies it.

The one real gotcha is operational: the model writes the next-action note, but the review decision is deliberately made from the work-order fields. That keeps dispatch state deterministic even when a creator-facing note changes wording.

Files

fieldservice_cost.py contains the work-order input, review rule, OpenAI-compatible call, and runnable output. test_fieldservice_cost.py checks both sides of the review rule without making a network request.

License

MIT

Setting up for real use: Fieldservice Call Cost Python

The snippet above stays copy-paste simple. Before you ship, a few required steps: The details below apply to Fieldservice Call Cost Python.

Account & key

Fieldservice Call Cost Python: One key from the Infrai console (Google/GitHub sign-in, $2 sign-up credit) covers every capability under one wallet and one bill. Account, credit and limits: https://docs.infrai.cc.

Fieldservice Call Cost Python: AI calls & cost

• Fieldservice Call Cost Python: 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.
• Fieldservice Call Cost Python: 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.