Agentic AI with FastAPI: Production Backend Architecture Patterns
Production patterns for agentic AI backends with FastAPI — WebSocket streaming, background agent tasks, dependency injection, and Pydantic models for agents.
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From the blog
Production patterns for agentic AI backends with FastAPI — WebSocket streaming, background agent tasks, dependency injection, and Pydantic models for agents.
Compare NATS, Kafka, and RabbitMQ for agentic AI workloads. Learn async tool execution, event-driven agents, and dead letter queue patterns.
Learn proven Kubernetes deployment patterns for agentic AI microservices including pod design, service mesh, HPA scaling, and health checks for LLM agents.
Build a full observability stack for agentic AI with OpenTelemetry tracing, Grafana dashboards, custom agent metrics, and alerting strategies.
Master Redis patterns for agentic AI including LLM response caching, conversation sessions, pub/sub for real-time events, and agent performance optimization.
Comprehensive security guide for agentic AI covering prompt injection, tool authorization, data exfiltration, excessive agency, and mitigation strategies.
Comprehensive testing strategy for agentic AI — unit testing tools and prompts, integration testing agent loops, E2E multi-agent flows, and mock LLM patterns.
Learn how to use agent.as_tool() to turn entire agents into callable tools for other agents. Master approval workflows, output extraction, and dynamic tool enabling for multi-agent orchestration.
Design an API gateway for agentic AI with multi-model routing, API key management, rate limiting, WebSocket proxy, and health-based routing.
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