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Architecture

AI Gateway Guide

AI gateway architecture — unified API layer for model routing, auth, rate limiting, observability, and cost control.

Intermediate

AI gateway architecture — unified API layer for model routing, auth, rate limiting, observability, and cost control.

Full guide coming soon.

Learning Path

  1. LLMs
  2. Prompt Engineering
  3. Embeddings
  4. Context Windows
  5. RAG
  6. GraphRAG
  7. Evaluation
  8. AI Agents
  9. Production AI

Continue Learning

architecture

  • Model Routing
  • AI Observability Architecture

Production

  • Cost Optimization
  • AI Security

Related Guides

  • Model Routing

    Routing strategies across LLM providers and model tiers — cost-aware selection, fallback chains, and capability-based dispatch.

  • AI Observability Architecture

    Observability stack for AI systems — tracing, logging, evaluation hooks, and feedback loops across the inference pipeline.

  • Cost Optimization

    Reducing LLM spend — workload-based model routing, prompt compression, caching, batching, and token-aware context design.

  • AI Security

    Threat modeling for LLM apps — prompt injection, tool abuse, data exfiltration, and defenses with guardrails, privilege separation, and red teaming.

  • AI Copilot Architecture

    System design for AI copilots — context injection, tool use, IDE integration, and enterprise deployment patterns.

  • Production AI Stack

    End-to-end production AI stack — model serving, retrieval, agents, observability, and deployment reference architecture.


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