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Multi-Agent AI — Orchestration Framework

Enterprise multi-agent orchestration framework with specialized agents, workflow engine, quality gates, and audit trails.

Role
Creator
Year
2026
Stack
Python · LangGraph · OpenAI · Anthropic · PostgreSQL · Docker

Context

Single LLM calls are insufficient for complex enterprise workflows. Multi-step processes need specialized agents with structured handoffs, validation at each gate, and human-in-the-loop approval for critical decisions.

Approach

Designed a multi-agent framework where specialized agents (analyst, developer, QA, architect) collaborate through defined workflows.

  • Structured agent handoffs between stages
  • Automated quality gates at each stage
  • Error recovery with retry logic
  • Immutable audit trails for compliance
  • Outcome

  • Production-ready orchestration system used as architectural foundation for CourseSmith and other multi-agent projects
  • Demonstrates mastery of complex agent coordination patterns with enterprise-grade reliability and observability