Testing & Evals for Claude Multi-Agent Systems
Build an eval loop with golden datasets, LLM-as-judge scoring, and CI gates to measure quality and ship Claude multi-agent changes safely.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Build an eval loop with golden datasets, LLM-as-judge scoring, and CI gates to measure quality and ship Claude multi-agent changes safely.
Sandboxing, least privilege, secret handling, and prompt-injection defense for Claude multi-agent systems that call real tools.
Use prompt caching, batching, and model routing to keep Claude multi-agent runs cheap and fast without sacrificing output quality.
Catch infinite loops, wrong tool calls, and hallucinated arguments in Claude multi-agent systems with the right tracing and guardrails.
What to put in a Claude agent's context and what to leave out — a practical guide to prompt and context design for reliable multi-agent systems.
Wire MCP servers into Claude multi-agent systems the right way: scoped auth, tight schemas, actionable errors, and idempotency that survives retries.
Reusable patterns for multi-agent systems on Claude: role-scoped prompts, return contracts, tool schemas, context budgeting, and clean state passing.
Step-by-step guide to building a working multi-agent system with Claude — decomposition, subagent dispatch, return contracts, validation, and synthesis.
How multi-agent systems fit together on Claude: orchestrators, isolated subagent contexts, message passing, and where the token cost actually goes.
Get notified when we publish new articles on AI voice agents, automation, and industry insights. No spam, unsubscribe anytime.
Try our live demo -- no signup required. Talk to an AI voice agent right now.