What problem does it solve? Single-model inference pipelines can produce unverified or drifting reasoning on complex queries. This Skill guides you through deploying Logos Router, a distributed semantic reasoning gateway that fragments queries across local inference nodes and cross-verifies every output through the Strict Write Discipline consensus protocol before committing results. ## Core Features & Use Cases - Distributed Reasoning Mesh: Configure multiple local or remote inference nodes (VLLM, Ollama, llama.cpp) with YAML-based mesh configuration and adaptive thinking depth. - Consensus Validation: Enforce Strict Write Discipline with configurable consensus thresholds, peer verifications, and escalation for zero-drift outputs. - Workflows, Caching & Audit Trails: Build multi-step reasoning workflows, enable semantic caching, and inspect causal audit trails with SWD traces. - Use Case: A research team needs verifiable answers to complex technical questions. They deploy a local mesh with two nodes, require 0.95 consensus, and export audit trails for each query to validate the reasoning chain. ## Quick Start Set up a Logos Router mesh with two local inference nodes and run an adaptive-depth query with consensus validation enabled.
