Capability endpoints are POST and accept application/json. A generation
request carries too much context for a query string, so there are no GET
variants of the generation calls themselves.Two exceptions worth knowing:
/whisper-transcribe takes
multipart/form-data, because it carries an audio blob.
Several capability handlers answer GET /health, and unit planning also
answers GET /debug and GET /session.
The error field is a message, not a stable machine code. Branch on the HTTP
status, not the string.
There is no error-code enum. Messages are free-text English and may be reworded
without notice.The two curriculum endpoints are the exception: /recommend-lo and
/recommend-as return a code field alongside error (MISSING_SUBJECT_CODE,
UNSUPPORTED_SUBJECT and so on). Those codes are safe to branch on. Nothing
else on the platform has them.
Failures often carry details alongside error — an upstream status and body
excerpt, or a message and stack.
Request bodies use camelCase. Some downstream model-facing payloads use
snake_case, and the transformation layer converts between them. That
conversion is internal — the API contract is always camelCase.
yearGroup refers to the post-primary year ("1" through "6"). Learning
outcomes are referenced by their specification codes as published by the NCCA
— for example "1.1" — not by internal database identifiers.
There is no platform-wide application rate limiter.
RATE_LIMIT_REQUESTS_PER_MINUTE and RATE_LIMIT_WINDOW_MS exist in shared
config and are parsed at startup, but no endpoint reads them. Seeing them in
a config dump does not mean a limit is being enforced.
The one real limiter is on /account-lookup: a sliding window of 10 requests
per minute per caller IP. It is in-memory, so the window is per isolate —
Supabase may run several, and a cold start resets it. Treat it as a speed bump
rather than a wall; the actual ceiling is the platform’s own rate limiting in
front of the functions.Practical limits that do bind:
Generation responses carry a usage object. model, elapsed time and the
retrieval/grounding fields are real measurements.
The token counts are not. The agents report token_source: "estimated" and
derive input_tokens / output_tokens / total_tokens from whitespace word
counts, not from a tokeniser. Do not bill, budget or enforce quota from them.
traceId is the useful field — quote it when reporting a bad generation.
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