A high-signal implementation of core distributed patterns using Dapr and Python. This repository is architected for minimal boilerplate and maximum clarity—optimized for Gemini's long-context window to ensure 100% architectural visibility during complex AI design discussions and interactions.
- Python-First: Focused purely on clean, idiomatic Python implementations.
- Service Invocation: Demonstrates robust service-to-service communication.
- Validated Models: Uses Pydantic for strict Order/OrderItem validation (Phase 2.0).
- AI-Optimized: Pruned of legacy boilerplate to maximize LLM context window efficiency.
Refined from the original Dapr Quickstarts. Specialized for Python-centric distributed patterns and high-signal AI interactions.
Distributed under the Apache License 2.0.