fastloom 0.4.33

Core package

Fastloom – The Open Foundation for Building Event-Driven Services

Fastloom is a lightweight, batteries-included foundation for building modern backends. Define your settings, schemas, and endpoints; Fastloom wires up the rest: FastAPI, Mongo (Beanie), Rabbit (FastStream), metrics/traces/logs/errors, and more.

Think of it as the glue for your stack: web, messaging, caching, DB, observability, and integrations with best-in-class tools.

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Why FastLoom

• No boilerplate: minimal scaffolding/templating; most wiring is handled inside Core.
• Composable: opt into only what you need (FastAPI, Rabbit, MongoDB, Redis, OpenAI).
• Pydantic-first: type-safe models, validators, and clear input/output contracts.
• Multi-tenant by design: tenant context flows through DI and storage.
• AuthN/Z via DI: OIDC token introspection and pluggable PDP (ABAC/RBAC/ReBAC) hooks.
• Event-driven ready: publish/subscribe with routing keys and health.
• Observability-native: metrics, traces, logs from day one.
• Self-hostable: production parity with a cloud/aaS setup.

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Integrated Services (the platform)

Core plugs into a family of self-hostable services:

• IAM → OIDC/SSO, authN/Z, RBAC/ABAC/ReBAC.
• Notify → realtime notifications, Pusher-compatible API.
• Pulse → user activity + event tracking with OpenTelemetry hooks.
• File → object storage on MinIO (S3-compatible).
• Finance, Subscription, SMS/Email, Meet, Persona → optional services you can wire in.

Each service is:

• self-hostable (Docker Compose or Helm),
• BaaS-available,

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Quick start

# Install core
poetry add core-bluprint -E FastAPI

# Scaffold a new service
launch init myservice --stack fastapi

# Run it
cd myservice
launch dev

See pyproject extras for the full list.

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What you get out of the box

• App orchestrator (core_bluprint.launcher)
  • Loads your routes, models, signals, and healthchecks
  • Exposes settings and health endpoints (public toggle)
• FastAPI-native
  • Dependency-injected request/tenant context and guards
  • Clear routing, OpenAPI, and dependency injection patterns
• Auth & Access
  • DI-based guards with OIDC token introspection
  • Pluggable PDP for ABAC/RBAC/ReBAC decisions
• Multi-tenancy
  • Tenant-aware DI context across web, DB, and messaging
  • Automatic per-tenant settings endpoint backed by DB + cache
• Database layer (MongoDB via Beanie)
  • Created/updated mixins, pagination utilities, typed helpers
  • Helper classes/methods for common patterns (queries, projections, pagination)
  • Auto model discovery for DB init
• Signals / Messaging (Rabbit via FastStream)
  • Event-driven publish/subscribe integration with DI and retries
  • Subscriber wiring and healthchecks
• Observability
  • OpenTelemetry distro + OTLP exporter, Logfire, Sentry (error/bug tracking)
• I18N
  • Exception handler and template utils with Babel/Jinja2
• Healthchecks
  • Automatic app/DB/messaging checks + system routes
• Pydantic-native schemas and validators
  • SchemaIn/Out validation for request/response contracts
  • Common types and validators (core_bluprint.types)

Dive deeper in the docs below.

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Documentation

• Auth → docs/auth.md
• Tenant → docs/tenant.md
• DB (Mongo/Beanie) → docs/db.md
• Signals (Rabbit) → docs/signals.md
• Observability → docs/observability.md
• File storage → docs/file.md
• I18N → docs/i18n.md
• Settings & Configs → docs/settings.md
• Launcher & App model → docs/launcher.md

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Roadmap

• More CLI scaffolds and blueprints.
• Automatic pydantic ai agentic tool creation from apis
• Migrate PDP to OPAL opa based