RouterBV-01

Lab

Blueprint Vault

Starter Pilot Pack

Regulated Agentic Router

Starter pilot templates: o3-pro planning prompts, reference Python validators, and Scout/Opus routing demo—for architecture conversations, not prod guardrails.

Starter Pilot Pack · BV-01

Regulated Agentic Router

Starter pilot templates: o3-pro planning prompts, reference Python validators, and Scout/Opus routing demo—for architecture conversations, not prod guardrails.

Fintech · model risk · agentic pilot

Who it's for

Fintech · model risk · agentic pilot

Best when

Reference prompts, JSON schemas, and modular demo router

Outcome

Monday: run the local dry-run demo, review the architecture diagram, and note stack questions for your Architecture Mapping Session (booking link in your receipt email after purchase).

Pilot templates and reference implementations only—not production-authorized guardrails, certified controls, or legal/compliance sign-off.

Preview only — not yet available for purchase

INSTRUCTIONS.md

Start here — local pilot steps (Architecture Mapping Session link in purchase receipt email)

Engineer README

Local dry-run setup, env vars, and pilot verification checklist

Prompt & schema blueprint

Reference prompt templates and structured output contracts (not prod-tuned)

GCP + Vertex architecture

Reference diagram: reasoning tier, validator demo app, audit sink

Reference demo apps

Illustrative Python validators, JSON schemas, and eval harness examples

Reference Terraform

Optional IaC sketch for GCP — not prod-hardened

ROI cost calculator

Model-mix and volume inputs → monthly inference spend and deflection ROI

Disclaimer & license

Pilot-only scope — not production-authorized guardrails

Blueprint Lab

Interactive routing scenarios — Scout/Opus path, fail-closed validators, and live trace. Free when signed in.

Your pilot week

Your path this week

Monday: run the local dry-run demo, review the architecture diagram, and note stack questions for your Architecture Mapping Session (booking link in your receipt email after purchase).

Reasoning models propose structured plans; Python validators authorize every action before tools execute.

Local dry-run of reference router (no Vertex keys required)
Review prompt templates and policy YAML examples
Walk through GCP/Vertex architecture diagram with your team
After purchase, use the Architecture Mapping Session link in your receipt email to schedule your review

Reasoning architecture

Models reason · validators authorize

Reasoning models propose structured plans; Python validators authorize every action before tools execute.

Tier	Model	Role
Planning	OpenAI o3-pro	Structured intent decomposition and AgentPlan JSON
Fast path	Llama 4 Scout	Easy extraction and read-only lookups (~85% cost savings vs Opus)
Hard path	Claude Opus 4.6	Complex reasoning when difficulty classifier escalates
Authorization	Python validators	Fail-closed gate on every proposed action — no LLM bypass

Interactive routing scenarios — Scout/Opus path, fail-closed validators, and live trace. Free when signed in.

Inside this edition

01Executive snapshot
02Hero architecture — compliance wrapper
03Cost routing layer
04Agentic loop — production sequence
05Reference pseudocode — LangGraph-style router
06Expansion catalog
07Runbook
08MRM control mapping (starter)
09Download pack

Executive snapshot

Regulated fintech teams cannot ship agentic workflows that treat the LLM as the compliance boundary. Model risk management (MRM), SOC 2 evidence, and audit committees require deterministic controls around tool calls, data egress, and customer-facing outputs.

Pilot outcome for your lead engineer: run the local dry-run demo, review prompt templates and architecture diagram, and bring stack questions to your Architecture Mapping Session—not a production deploy on day one.

Constraint	Blueprint answer
MRM limitations & controls	Validator catalog mapped to control IDs; immutable decision log
Audit trail	Append-only event store per request_id
PII / data minimization	Tool allowlists + field-level redaction in validators
Token economics	Scout/Opus routing with budget caps and fallback ladder

Hero architecture — compliance wrapper

The compliance wrapper is the only path to tool execution. The reasoning model proposes; Python decides.

Request → o3-pro (plan + structured intent)
       → validate_action()  [FAIL CLOSED]
       → route_by_difficulty()
       → worker model (Scout | Opus)
       → validate_action()  [FAIL CLOSED]
       → human gate (tiered)
       → ex…

Remaining chapters, Starter Pilot Pack download, and Blueprint Assistant unlock with purchase.

Regulated Agentic Router

Starter pilot templates: o3-pro planning prompts, reference Python validators, and Scout/Opus routing demo—for architecture conversations, not prod guardrails.

Fintech · model risk · agentic pilot

Who it's for

Fintech · model risk · agentic pilot

Best when

Reference prompts, JSON schemas, and modular demo router

Outcome

Monday: run the local dry-run demo, review the architecture diagram, and note stack questions for your Architecture Mapping Session (booking link in your receipt email after purchase).

Pilot templates and reference implementations only—not production-authorized guardrails, certified controls, or legal/compliance sign-off.

Preview only — not yet available for purchase

Your path this week

Monday: run the local dry-run demo, review the architecture diagram, and note stack questions for your Architecture Mapping Session (booking link in your receipt email after purchase).

Reasoning models propose structured plans; Python validators authorize every action before tools execute.

Local dry-run of reference router (no Vertex keys required)

Review prompt templates and policy YAML examples

Walk through GCP/Vertex architecture diagram with your team

After purchase, use the Architecture Mapping Session link in your receipt email to schedule your review

Models reason · validators authorize

Reasoning models propose structured plans; Python validators authorize every action before tools execute.

Tier	Model	Role
Planning	OpenAI o3-pro	Structured intent decomposition and AgentPlan JSON
Fast path	Llama 4 Scout	Easy extraction and read-only lookups (~85% cost savings vs Opus)
Hard path	Claude Opus 4.6	Complex reasoning when difficulty classifier escalates
Authorization	Python validators	Fail-closed gate on every proposed action — no LLM bypass

Executive snapshot

Constraint	Blueprint answer
MRM limitations & controls	Validator catalog mapped to control IDs; immutable decision log
Audit trail	Append-only event store per request_id
PII / data minimization	Tool allowlists + field-level redaction in validators
Token economics	Scout/Opus routing with budget caps and fallback ladder