Files
code_of_conquest_dnd/api
Phillip Tarrant 7f1d9fa39a chore(api): canon log follow-ups — hardening, unified 422, contract doc
- canon_log.py: stringify jsonschema error-path segments before sorting so a
  future schema mixing array indices and object keys can't TypeError (#1)
- main.py: RequestValidationError handler reshapes pydantic body failures into
  the same {"detail": {"canon_log_errors": [...]}} envelope as schema failures,
  so the client parses ONE 422 shape (#2a) + tests
- pytest.ini: filter the starlette/httpx TestClient deprecation → pristine output (#4)
- docs/canon-log.md: living contract for the client (Plan B) — schemas, the §7
  boundary, the unified error envelope, per-role injection (#3)

Full suite 26 passing, 0 warnings.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-09 13:03:59 -05:00
..
2026-07-09 11:17:54 -05:00
2026-07-09 11:17:54 -05:00
2026-07-09 11:17:54 -05:00

/api — FastAPI proxy

The guarding proxy from charter §4. Not a generic API — it exists to keep the API key, the prompts, and the model routing server-side, and to log every call from day one.

Stack: Python, FastAPI. Models: Ollama (dev/staging) → Replicate (prod), routed per-role server-side.

Role endpoints (charter §4)

POST /dm/narrate      Narrator    — scene/outcome prose        (good model)
POST /dm/adjudicate   Adjudicator — free text → legal action   (small/fast, strict JSON)
POST /dm/improvise    Improviser  — minor sandboxed event       (charter §7 limits)
POST /npc/speak       NPC         — voice one character          (bounded moves, §6)
POST /party/banter    Banter      — companion callbacks          (cacheable, §9)

The client does not know which model serves a role or what the prompt is.

Responsibilities

  • Auth · metering (retrofit later — middleware + Stripe webhook, §4)
  • Prompt ownership — prompts live in prompts/, never in the client
  • Model routing — role → model is config, a deploy not a client patch
  • Logging — log seed and full prompt with every call (§10) for replay/eval

Contracts

Every AI response is untrusted (§2). Parse, validate, be ready to discard. One retry on parse failure, then authored fallback (§12).

See docs/ for endpoint schemas, model routing, and deploy notes.