AI_template/docs/backend/overview.md

Backend: Overview

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Phase: Phase 0 (Planning)
Status: Draft
Owner: Backend Architect
References:

• /docs/project-overview.md
• /docs/backend/architecture.md
• /docs/backend/payment-flow.md

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1. Role of Backend

• Own business logic for integrations, AI capability (chat/generation/pipelines/automation), optional human feedback loops, reporting, billing, and audit.
• Integrate safely with external providers (OAuth2/webhooks, payment provider, LLM provider) and expose consistent APIs + events.
• Enforce security appropriate to your archetype (single‑ or multi‑tenant), webhook verification, and event/audit logging.

2. Main Domain Areas

• Auth & Tenancy (optional): users, roles, tenant isolation if needed.
• Integrations / Ingestion (optional): OAuth2/webhooks/files; connection health.
• Core AI Module: chat, generation, classification, RAG, or agentic automation.
• Processing Pipeline (optional): staged evaluation (rules/embeddings/LLM); reasoning_trace JSONB if used.
• Human Feedback Loop (optional): approvals/edits/ratings/escalations; audit trail.
• Reporting & Exports (optional): dashboards/summaries with history.
• Billing (optional): provider-hosted subscriptions/usage, webhooks.
• Events / Audit: /api/events feed for observability and downstream agents.

3. Integrations

• External data providers: OAuth2 + webhooks; signatures/verification; idempotent writes via workers.
• Payment provider: subscriptions, checkout/portal; webhooks for lifecycle events.
• LLM provider: chosen LLM API via a single helper; configurable model/params.
• Queues: BullMQ (Redis) for ingestion/categorization/notifications.