Infrastructure & Operations
Deployment, monitoring, scaling, and production systems.
Agent Deployment
Deploying agents to production involves containerization, scaling strategies, version management of prompts and tools, and operational practices that account for agents being fundamentally harder to deploy than traditional APIs.
Agent Orchestration
Agent orchestration is the coordination layer that manages execution flow, step scheduling, and state transitions across an agent’s lifecycle.
Context Window Management
Context window management is the art of selecting, prioritizing, and compressing information to fit an LLM’s limited input capacity while preserving the context most critical for the current reasoning step.
Cost Optimization
Agent cost optimization reduces operating expenses through model routing, caching, prompt compression, batching, and token budgets – turning agents from expensive experiments into economically viable products.
Error Handling and Retries
Robust agent execution requires systematic error classification, intelligent retry policies, circuit breakers, and graceful degradation to handle the inevitable failures in multi-step, multi-service agent workflows.
Event-Driven Architectures
Event-driven architectures enable reactive agents that respond to external triggers – webhooks, file changes, schedules, user messages – rather than running continuous polling loops.
Logging, Tracing, and Debugging
Observability for agents requires capturing structured traces of thought-action-observation chains, enabling developers to replay, diagnose, and optimize multi-step agent behavior.
State Machines and Graphs
State machines and directed graphs provide deterministic control flow structures that make agent behavior predictable, debuggable, and reliable.