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AI Systemscomplex complexity
AI Agent Orchestration
Architecture for multi-step AI agents - planning, tool use, memory, evaluation, and human-in-the-loop.
Architecture
System Components
Key building blocks of this architecture, layered from infrastructure up
01
Planner
Decompose tasks into steps and choose tools.
ClaudeGPT-4Custom Planner
02
Tool Registry
Versioned, typed tool definitions exposed to agents.
JSON SchemaOpenAPITool Use API
03
04
Execution Runtime
Step-by-step runtime with retries, timeouts, and tracing.
TemporalInngestCustom
05
Human-in-the-Loop
Approval gates for high-stakes actions.
SlackCustom UIWebhooks
06
Eval & Replay
Trace storage with replay for debugging and evaluation.
LangfuseHeliconeCustom
Planning
Key Considerations
Important factors to keep in mind when implementing this architecture
Strict tool typing prevents most agent failure modes
Always log full traces - debugging without them is hopeless
Bound cost and steps per run, with hard kill switches
Want an agent build partner? AI integration service.
Options
Alternatives to Consider
Other approaches that might fit your specific needs
LangGraph for graph-based orchestration
Crew AI for role-based multi-agent
Direct tool use without orchestration layer for simpler cases
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