Car Image API

In ChatGPT, use create_car_image_urls for the inline image card instead. In other hosts, show a vehicle in chat: returns the image as an MCP image the host displays inline with the result, and the bytes for a file. Name the vehicle, view and color in the reply; do not also mint a signed URL for the same image. Where the person cannot see tool images (a terminal), use create_car_image_urls instead. Counts one vehicle image (vehicle, color, angle) for the month on the account's plan, prepared yet or not; the same image again this month adds nothing. Legacy credit-meter accounts: COSTS 1 CREDIT per call, cached or generated. Call resolve_vehicle first (or search_vehicles, or decode_vin for a VIN) and pass the id it returns as `vehicle`: the lookup is free, and the catalog files cars under its own names (a Mazda "MX-5 Miata" is mx-5), so a make and model typed from memory can answer 404 for a car the catalog carries. Make, model and year are for callers that already hold catalog spellings. Nine camera angles, any paint color (fifteen named presets or any hex such as #1a2b3c), any width and height up to the stored image's own size, 1024 px square for older renders, up to 2560 px for new ones (fit contain|cover|inside), transparent or on a solid background, optionally trimmed to the car and with a soft ground shadow (shadow: true). Returns the image (PNG/WebP/JPG; format auto delivers PNG here) plus usage metadata (credits_charged, vehicle_images used this month, or credits_remaining on the credit meter; source cache|generated, request_id, the vehicle with its vehicle_id). Use create_car_image_urls for web pages, apps, emails and documents, and in a terminal. Do not call both paid tools for one image.

Put vehicle images into web pages, apps, emails and documents: create 1-50 key-free signed URLs a browser loads directly (<img src>), each with ready-to-display Markdown. In ChatGPT, use this tool to show the inline image card. In other chat hosts, get_car_image displays the picture inline. For chat use ttl_seconds 604800, max_uses 0 and renewal off unless requested. When ChatGPT shows the card, do not repeat its images or URLs. Without a card, use the returned Markdown where supported or link the same URL. Reuse unexpired URLs; never mint twice for one image. Each URL counts its vehicle image for the month at creation (1 credit on the legacy credit meter); loads within the TTL add nothing and are publicly cacheable. Each image names its vehicle like get_car_image: look each distinct vehicle up once (resolve_vehicle, search_vehicles or decode_vin, all free) and pass its id as vehicle, or send make, model and year in catalog spelling. Each takes any paint color (a preset or a hex) and the same sizing options (width, height, fit, background, framing, trim, padding, shadow); format auto makes the URL serve webp or png per viewer. For email, CMS pages or documents that outlive a TTL, set renew: true with ttl_seconds 604800: the URL keeps serving past expiry, renewing in each opened week (one more credit per week on the legacy credit meter), for up to renew_days. Pass idempotency_key when the call might be repeated: a retry with the same key and arguments replays the first result instead of billing again. Returns id, url, markdown, expires_at, max_uses, renews_until and the normalized vehicle for each image. Prefer this over get_car_image for HTML, Markdown files, documents, emails and websites. State expiry briefly.

Free. Browse the open vehicle catalog (1,608 makes, 42,334 models, 1990-2027) by make and/or model with typo tolerance. Returns canonical make/model names, the years each model exists and match kind; a model hit carries a stable vehicle id per year (ids, and id when the query names one year) to pass as `vehicle` to the image and 3D tools. Use it to list a make's models, to see which years exist or to let the human choose between similar models; when you already know which car is wanted, resolve_vehicle is the one call that names it.

Free. The first call for any picture of a car, including one you chose yourself: turn a request such as "red 2018 Mazda MX-5 Miata side view" into the catalog vehicle and exact get_car_image parameters (vehicle_id, make, model, year, view, color), plus alternative candidates and a confidence of high, medium or low. A make and model are read by the rules the image tools read them with, so this names the vehicle they would render. Pass params.vehicle_id as vehicle to get_car_image, create_car_image_urls or create_3d_model. Ask the human to choose when confidence is low or several candidates fit, and tell them when params.year is not the year they asked for (extracted.year).

Free. Decode a full 17-character VIN, or a partial VIN of at least 5 characters with * for unknown positions, with NHTSA vPIC data: year, make, model, trim, series, body class, engine, transmission, manufacturer, plant and every decoded attribute. `vehicle` is the catalog vehicle it maps to, with the stable id to pass as `vehicle` to get_car_image, create_car_image_urls or create_3d_model, or null when the catalog does not carry that car. Use it whenever the human gives a VIN instead of a make and model. To show the vehicle, call create_car_image_urls with that id (1 credit per signed URL, loads at once when the image is already rendered).

Free, read-only check before generating an image. Look the vehicle up first and pass its vehicle id. Check one view or omit view for all nine; pass the requested paint as color. cached true means the view is prepared: it serves quickly from storage, without waiting for a new render. Returns each view's quality (standard, enhanced or premium; null when no stored image), upgrade state, and render_eta for views not cached. It renders nothing, queues nothing and counts no image usage. This does not authorize a render or a quality upgrade. Unlike a public preview, this checks what an authenticated image request would serve, including the requested color.

Free. Check a list of up to 100 vehicles in one call before rendering any: which ones the catalog carries and under which vehicle id. Send each as the list spells it ({make, model, year}) or as a stored id ({vehicle}), with an optional ref that is echoed back. Each entry is read exactly as get_car_image would read it and answered as match (vehicle.id is the id to store and render by; vehicle.match is exact, or the looser rule that read the name), suggestion (not in the catalog as named; suggestions are real vehicles close to it, such as the same model in its nearest year, which is another car: ask the human before using one), miss (nothing close: skip it in every view and color) or invalid (error says what to fix). Use it for a catalog, a spreadsheet or any list of more than a few cars, instead of one lookup or one paid render per car; summary counts each status and the distinct vehicles a backfill would render. With views: true each match also carries views.prepared (0-9) and views.missing, which of its nine camera views are prepared now, and summary.views_complete counts the vehicles with all nine. A longer list is work for code: car-image check <file>, or client.checkVehicles, 2,000 vehicles per request.

Free. Show the organization this connection acts for (data.organization, with the caller's role), usage this month (limits_usage: vehicle images used and included, keys, request rates) and the key's scopes. Every new account includes 100 free vehicle images a month. Check this before large batches.

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Free. When the human wishes the API did something it does not (new views, formats, endpoints, anything), file it on the public feedback board. Similar items are checked first: when some exist nothing is filed (created: false) and similar lists them; upvote_feedback the one that matches, or call again with force: true if none does. A new request returns its page URL; the human gets a thank-you email and one for every status change until it ships.

Free. Report a problem with Car Image itself (a failed or wrong render, an error that looks like a bug, a broken endpoint), with the human's agreement. Pass the failed call's request_id and what you know in context (endpoint, error_code, vehicle id, view, color): the team sees exactly what happened. Private to the human and the team. Similar open reports come back first, as with request_feature: upvote_feedback one that matches. The human gets an acknowledgement and an email when it is picked up and when it is fixed. Not for a vehicle the catalog lacks, and never include API keys.

Free. Add the human's vote to a feature, vehicle request or published issue (idempotent): the way to say "me too" instead of filing a duplicate. They follow it from then on and hear about every status change. A vote on a merged item lands on the item it was merged into.

Free. Post or edit the human's public review of Car Image (one per account, 1-5 stars, their own words; never invent or nudge a rating). Shown on the reviews page with the team's answer once it passes a quick check. Set marketing_consent only when they agree to be quoted. Editing replaces the displayed public review; confirm the replacement text with the human. One edit an hour; the first post gets a thank-you email.