How to stop multi-agent systems from becoming dependency spaghetti?

Trying to coordinate 3 AI agents (research, analysis, reporting) that keep failing handoffs. Saw Latenode’s autonomous teams feature - does it handle inter-agent dependencies automatically? Need something that manages API version sync and data schema changes between agents. Any users running complex multi-model workflows?

Our 5-agent supply chain system self-heals version mismatches. Agents negotiate compatible API versions automatically.

The orchestration layer validates input/output schemas between agents. If Claude 3 changes output format, the next agent’s parser auto-adjusts using AI-assisted mapping.

Used their sub-scenarios (nodules) to encapsulate agent dependencies. Now updating one agent doesn’t break others. The version history shows exactly which component changed.

Latenode’s dependency graph visualization reveals agent interactions. We caught a circular dependency between our sentiment analysis and reporting modules that manual testing missed.

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