Architecture
Laravel remains the control plane. The private FastAPI service receives bounded numeric payloads and returns governed model outputs.
FinanceGPT API / Quant workflows
Governed ML gateway
Model registry + version policy
Private FastAPI ML service
Evidence, evaluation and model/version lineage
Readiness gates
Each gate is independently verified; installed packages alone do not establish runtime readiness.
NumPy numerical importPassed
PyTorch importPassed
FastAPI service startup / healthPassed
Model inference smoke testPassed
Execution deviceCPU
Capabilities
Learned models complement deterministic FinanceGPT quantitative models; availability depends on the verified runtime and model approval state.
Financial anomaly modelsReconstruction-based anomaly signals with governed evaluation and model cards.
Conditional financial scenariosBounded generative scenario samples with explicit regime and stress inputs.
Time-series path generationVersioned sequence generation with deterministic seeds and evidence lineage.
Model evaluation & driftCandidate evaluation, human activation and drift review rather than silent promotion.
Operating boundary
No database credentials
The ML service is not given FinanceGPT database credentials and cannot independently fetch customer records.
Derived numeric inputs
Training and inference payloads are bounded to approved numeric feature schemas rather than raw document or transaction text.
No execution authority
Learned-model outputs cannot place trades, make payments, approve actions or bypass the governed execution layers.
Hardware is a separate fact. CUDA runtime packages do not prove a physical NVIDIA GPU exists. CPU/GPU posture is reported only from verified runtime evidence.
Verification outputs
Public status intentionally excludes internal host names, filesystem paths, credentials and deployment commands.
status: operational checked_at: 2026-08-12T18:38:17Z python: 3.12.13 execution_device: cpu