Complete Phase 1 implementation: Backend (FastAPI + MongoDB + Celery): - Core: config, DB with indexes, JWT security, API key auth middleware - Models: org hierarchy (workspace/team/project), user mirror, pricing, usage events/rollups, budgets, alert log, audit log - Services: pricing engine (LiteLLM/YAML/override priority), budget check with preflight, email alerts at 50/80/100%, analytics aggregations, audit logger - API routes: public (preflight/record/upsert), admin CRUD, pricing management, budget management, analytics (summary/timeseries/breakdown/pivot), Microsoft SSO auth - Celery tasks: daily LiteLLM price sync with change notifications, daily rollup aggregation, 5-minute alert evaluator - Pricing catalogue: ElevenLabs + Google Cloud TTS in models.yaml SDK (oliver-cost-tracker Python package): - CostTracker client with httpx + exponential backoff (3 retries) - SQLite outbox with 30s background flusher (never blocks AI pipeline) - Estimators: token/char estimation per provider - BudgetExceeded / CostTrackerUnavailable exceptions Frontend (React 18 + Vite + TypeScript): - Dashboard with KPI cards, daily cost timeseries, top-model/top-user charts - Pivot Explorer with multi-dim row/col selection + stacked bar chart + table - Admin pages: Workspaces, Pricing (with LiteLLM sync + override), Budgets (with live spend bar), API Keys (show-once), Users (mirror), Audit Log - Microsoft SSO login flow Infra: docker-compose.yml (mongo + redis + api + celery worker + beat + frontend) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
10 lines
213 B
JSON
10 lines
213 B
JSON
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