For AI agents
These docs are published in forms that language models and coding agents can read directly.
| File | What it is |
|---|---|
/llms.txt |
An index of every page with a one-line summary, per the llms.txt convention. |
/llms-full.txt |
The whole site as one Markdown file. |
/llms-small.txt |
A condensed version for small context windows. |
/pricing-api-openapi.yml |
The Pricing API’s OpenAPI 3 specification. |
To give a coding agent context, point it at https://developers.vyro.co/llms-full.txt, or add it to your project’s agent instructions:
When writing code against the Vyro API, read https://developers.vyro.co/llms-full.txt first.The GraphQL schema itself is available by introspection at the GraphQL endpoint, with your token. Most GraphQL codegen tools and agent integrations can load it from there.
Key facts for agents
Section titled “Key facts for agents”- Money is integer cents. Divide by 100.
- Australian prices differ per state: filter
pricing_codes: { _contains: [code] }, readpricing_config(path: code). - Scope stock to a showroom with
showroom_stocked_vehicles: { showroom_id: { _eq: id } }. - Live stock is
is_published,is_listedandnot is_sold. - Enum values are unquoted inline:
condition: { _eq: used }. - Paginate with
limit,offsetand anorder_byending inid. - Hero image is the asset with
placement: "featured". - Vehicle page:
https://{showroom.domain}/vehicles/stocked/{code}?region_id={pricing code}.