Agent Communication Protocols
How agents pass information: message formats, schemas, synchronous vs async, routing, error propagation, and tracing through multi-agent systems.
How agents pass information: message formats, schemas, synchronous vs async, routing, error propagation, and tracing through multi-agent systems.
How LLMs critiquing each other improves quality: verifier/critic patterns, multi-agent debate, ensemble approaches, and convergence detection.
Orchestration, communication, parallelism, and real frameworks - from first principles to production multi-agent systems.
OpenAI's experimental multi-agent framework: agents, handoffs, context variables, and the triage pattern. What it gets right and wrong.
The most reliable multi-agent pattern: one orchestrator plans, subagents execute. Deep dive into task decomposition, assignment strategies, and production-grade implementation.
Running agents concurrently with asyncio, worker pools, DAG-based scheduling, rate limiting, and cost/speed tradeoffs in parallel multi-agent systems.
The fundamental case for multi-agent: parallelization, specialization, and verification - and the honest cost of coordination overhead.