- gpt-6-luna on AIHub rejects temperature=0 (HTTP 400), which made every
call without reasoning_effort fall back; no longer send temperature.
- Fixtures page edits the scenario as JSON instead of a fixed preview;
backend validation errors are shown.
- AI profile form keeps submitted values after a trial run.
- Record the live AIHub check in the spec and README.
Phase 2 and 3 of the platform rework.
- Neutral request/response contract: external_id, metadata, X-AI-Key,
run_id in the response; client-specific fields removed.
- AI profile is a revision table: saving creates an inactive revision,
activation is separate, try-run does not store a run. One
chat-completions gateway serves AIHub and OpenAI-compatible profiles.
- Add between and in rule operators.
- Contracts moved to contracts/lead-scoring/ with a score-response fixture.
- Admin Web updated for revisions, runs and the neutral fixture.
- Consolidate tests; remove rewrite_architect.md and the stale handoff doc;
rewrite spec, CONTEXT and ARCHITECTURE for the current design.
Not verified: live AIHub/OpenAI behavior, Omni/EMS integration.
POST /v1/lead-scoring/score now evaluates in the request, applies an overall
AI deadline, and stores the completed run only after scoring. Idempotency is
kept by (app_id, account_id, request_id) with a body fingerprint.
Removes the webhook outbox, scheduler/recovery loop, app lead_scoring
permission, credential audit events, seed_demo and generate_secret scripts,
and the tests that covered them. Trims tests to behavior of the new flow.
Resolve the shared backend port once for make dev and reuse it in the child make. Keep pure configuration tests independent of local credentials and URLs without altering integration database settings.
Run backend and web with a shared configurable port, add local webhook and secret-generation helpers with tests, and document current app-auth and fixture workflows.
Add app credentials, account-scoped idempotency and per-app terminal notifications. Consolidate the unreleased migration baseline, preserve rule descriptions as AI context, and regenerate provider contracts with regression coverage.
