Objective
Define a modular architecture where reasoning engines can evolve without weakening execution guarantees.
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Agents are stateful services that consume context, produce proposed actions, and submit through guarded execution interfaces.
Objective
Define a modular architecture where reasoning engines can evolve without weakening execution guarantees.
Brain engines implement a shared contract over market state and portfolio inputs. Engine types include deterministic rules, ONNX models, LLM inference, and hybrid orchestration.
Engine output is always a proposal payload, not a direct execution call.
The core safety property is that proposed actions have no direct execution capability.
Execution is delegated to guarded pipelines that revalidate budget, policy, and market constraints before commitment.
Operators can choose local inference for privacy or cloud inference for richer reasoning. Both must pass identical safety checks.
Provider settings are explicit and environment-driven to avoid hidden model drift.
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