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CodeSignal

Parallelizing GPT-5 Agentic Systems in Ruby

via CodeSignal

Overview

Scale GPT-5-powered systems to handle high-throughput workloads through concurrent programming. Master threaded API calls, concurrent tool execution, and parallel multi-agent orchestration. Learn to support multiple specialized agents working simultaneously, enabling efficient multi-task processing and coordination without blocking on individual requests.

Syllabus

  • Unit 1: Parallelizing OpenAI Agent Systems
    • Unlock True Concurrency by Removing the Global Client Lock
    • Fixing Threaded Agent Execution in Main Script
    • Orchestrating Two Concurrent Agent Runs
  • Unit 2: Parallelizing Agent Tools
    • Practicing Parallel Tool Calls in Isolation
    • Integrating Parallel Tool Execution into Agent#run
  • Unit 3: Parallel Agent Orchestration
    • Parallel Agent Delegation with the Orchestrator Pattern
    • Anti-Pattern Lab: What Happens When a Tool Returns a Thread?
    • Fixing Fire-and-Forget Tools by Restoring the Synchronous Tool Contract

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