Agent Systems / FastAPI Engineering / API Contract Design

I focus on agent-oriented backends and modern FastAPI engineering. Beyond shipping individual endpoints, I care about whether a backend can evolve safely over time: clear API contracts, stable error models, testable service boundaries, reliable database migrations, frontend collaboration, and engineering documentation that is useful for both humans and AI tools.

• Designing a real-world FastAPI backend template with auth, permissions, exceptions, logging, rate limiting, caching, task queues, tests, and CI/CD.
• Working through complex API scenarios such as support, chat, aliases, handoff flows, i18n display names, and permission-aware visibility.
• Exploring agent backend problems: tool use, memory, RAG, async jobs, chat workflows, and API contracts.
• Turning repeated engineering lessons into templates, rules, documentation, and reusable development workflows.

A FastAPI backend template built around the problems real projects repeatedly run into. It is more than a simple scaffold: it includes domain-oriented structure, response envelopes, JWT auth, RBAC, async SQLAlchemy, Alembic, Redis, Arq, structured logging, rate limiting, health checks, Docker, GitHub Actions, and integration tests.

What I focus on in this project:

• API contracts: response envelopes, stable business error codes, and readable OpenAPI documentation.
• Engineering boundaries: clear router / service / repository / schema / model separation.
• Production readiness: environment validation, structured logging, health checks, CI, and Docker builds.
• Testing strategy: real integration tests with PostgreSQL and Redis instead of relying only on mocks.

FastAPI Pydantic v2 SQLAlchemy 2.0 PostgreSQL Redis Arq Alembic Docker pytest GitHub Actions

API Contract        OpenAPI / response envelope / error code / pagination
Backend Structure  router / service / repository / schema / model
Reliability        migration / integration test / CI / Docker / health check
AI Backend         LLM orchestration / RAG / async worker / chat workflow
Collaboration      frontend handoff / i18n data / permission visibility

Core Backend

Python · FastAPI · Pydantic v2 · SQLAlchemy 2.0 · Alembic · PostgreSQL · Redis

For maintainable business backends: domain boundaries, auth, response envelopes, exception models, database migrations, caching, and task queues.

Agent & AI Backend

Agent Workflow · Tool Use · Memory · RAG · pgvector · Async Worker · Chat System

For agent capabilities: tool orchestration, contextual memory, vector retrieval, async jobs, chat workflows, and model-provider integration.

Engineering Practice

OpenAPI · pytest · Docker · GitHub Actions · CI/CD · Observability

For long-term maintainability: API documentation, integration testing, containerization, local reproducibility, CI, and observability.

Frontend Collaboration

TypeScript · React · Vue · API Handoff · i18n Data

For understanding real frontend integration needs and designing clearer API contracts and response structures.

I will keep focusing on agent systems and FastAPI engineering: building maintainable backends for tool use, memory, RAG, workflows, permissions, documentation, and tests.