Deterministic Handoffs: Eliminating Context Drift in Multi-LLM Agent Pipelines
State transition patterns across heterogeneous language models to ensure downstream agents receive strictly schema-validated payloads without hallucinated assumptions.
Benni Alencar
Chief AI Systems Architect & Founder
Share:
Advertisement // Google AdSense
Visual Topology & System Specification // Deterministic Handoffs: Eliminating Context Drift in Multi-LLM Agent Pipelines
1. The Problem of Natural Language Inter-Agent Telephone
When agent A summarizes its work in prose and passes it to agent B, nuances disappear and hallucinations propagate like the childhood game of telephone. By step 5, the agents are solving an entirely different problem than what the user requested.
Deterministic Handoffs ban prose handoffs across architectural seams. Every handoff payload must conform to an explicit Pydantic/Zod schema containing cryptographic proof of execution, discrete inputs, and validated outputs.
Figure 1: Reality Lock Verified State Handoff Pipeline // Benni Master OS v9.4
Chief AI Systems Architect & Founder, Benni Master OS
Specialist in autonomous AI agent systems, deterministic execution protocols, and Zero-Trust architecture. Creator of Benni Master OS v9.4, Reality Lock Protocol, and AEGIS-63 Cyber Sentinel. Pioneering federated tool coordination and multi-agent consensus over Model Context Protocol (MCP).
