Frequently Asked Questions
Common Questions About Making Multi-Agent Systems Debuggable
Everything you need to know before registering.
What makes multi-agent AI systems so hard to debug? +
Multi-agent systems are hard to debug because the failure mode is often emergent: the individual agents work correctly but their interaction produces unexpected results. Without visibility into what context each agent received and what decision each agent made, diagnosing these emergent failures requires expensive trial-and-error reproduction. The Glass-Box architecture provides the observability that makes these interactions visible.
What is the Glass-Box architecture and how does it help debugging? +
The Glass-Box architecture makes every decision in an AI system observable and traceable. Every semantic blueprint, context passing step via MCP, RAG retrieval, agent output, and safeguard trigger is logged with structured metadata. This creates a complete audit trail of every system interaction that can be replayed and analyzed to pinpoint the exact cause of any failure.
How do I implement Glass-Box observability in an existing multi-agent system? +
Adding Glass-Box observability to an existing system involves wrapping agent invocations with structured logging, adding trace IDs to context objects that propagate through the entire agent call chain, implementing a log aggregation component that assembles per-request traces, and building a simple dashboard to query and visualize traces. The workshop covers this implementation from scratch and as a retrofit.
What should Glass-Box logging capture for effective debugging? +
Effective Glass-Box logging captures: the semantic blueprint used for each agent invocation, complete context window contents at invocation time, retrieved RAG results with source citations, agent output and confidence scores, safeguard evaluation results, MCP communication between agents, and timing information for each step. This complete picture makes any failure reproducible and traceable.
How do trace IDs help debug multi-agent systems? +
Trace IDs create a common identifier that connects all log entries for a single user request as it flows through multiple agents. When a failure occurs, the trace ID lets you retrieve the complete interaction log for that specific request, showing exactly which agent received what context, what each agent produced, and where in the chain the failure originated.
Can the Glass-Box architecture be used for optimization as well as debugging? +
Yes. The same observability that enables debugging also enables optimization: identifying which agents are slowest, which RAG retrievals have the lowest citation coverage, which semantic blueprints produce the most consistent outputs, and which safeguard triggers indicate unaddressed edge cases. Glass-Box logging turns debugging data into a continuous improvement dataset for the entire multi-agent system.
