Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

Letting individual teams wire applications directly to OpenAI, Anthropic, Gemini, Azure/Bedrock or internal vLLM endpoints leads to scattered API keys, brittle outages when a provider throttles traffic and unmonitored spend. This course teaches how to place a central Model Gateway (LiteLLM Proxy, Envoy AI Gateway, Kong/Portkey) between applications and model providers and design intelligent routing policies.

In hands-on labs participants unify cloud and local models behind a single OpenAI-compatible API, configure automated fallbacks on timeouts and HTTP 429s, set up latency-aware load balancing and complexity-based routing, and enforce per-team quotas and budgets.

Who Should Attend?

  • Platform engineers building shared internal AI infrastructure and service layers
  • Software and solution architects working with multiple model providers
  • MLOps and SRE teams responsible for API security, quotas and cost governance
  • Prerequisite: Docker, REST API management and basic LLM service concepts

Key Takeaways

  • Expose cloud APIs and in-house vLLM/Ollama services through one standard schema
  • Build seamless cross-provider fallback chains for rate limits (429) and outages
  • Route requests to the right model based on cost, latency, data sensitivity or task complexity
  • Define virtual API keys, RBAC and department-level spend caps
  • Operate central logging, PII redaction and caching policies at the gateway layer

Curriculum

Model Gateway Architecture and Tooling Landscape
  • How AI gateways differ from classic API gateways (token-aware rate limits, SSE streaming)
  • Comparing LiteLLM Proxy, Envoy AI Gateway, Kong AI Gateway and Portkey
Unified API, Load Balancing and Resilience
  • Unifying OpenAI, Anthropic, Bedrock, Vertex and internal vLLM models behind one endpoint
  • Retries, cooldowns, circuit breakers and cross-region/cross-provider fallbacks
Intelligent and Semantic Routing
  • Latency-based, least-busy and cost-optimised routing strategies
  • Routing by query complexity and data sensitivity using lightweight classifiers
Authentication, Virtual Keys and Quota Governance
  • Enterprise SSO/OIDC integration, team virtual keys and model allowlists
  • Tokens/requests per minute (TPM/RPM) limits and monthly hard/soft budget caps
Centralised Observability and High Availability
  • Streaming OpenTelemetry/Langfuse traces and cost attribution directly from the gateway
  • High-availability multi-replica gateway deployment with PostgreSQL and Redis

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