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Agent Evals, Guardrails & Spend Caps in Production

Defense-in-Depth for Public AI Endpoints

Every public AI route needs three guardrails before going live: per-IP/session rate limiting, strict max_tokens bounds, and provider-level hard spend caps.

📄 src/lib/guardrails.tstypescript
export function enforcePromptBudget(prompt: string, maxChars = 4000) {
  if (prompt.length > maxChars) {
    throw new Error(`Prompt exceeds maximum allowed length of ${maxChars} characters.`);
  }
  return prompt.trim();
}

Production Architecture Takeaway

Validate input length and token budgets at the Cloudflare Worker edge before forwarding any request to an upstream LLM or GPU provider.

✏️ Visual Architecture Diagram

how this course connects together.

Follow AJ from first principles to production-ready architecture.

✏️ Visual Diagram: Full-Stack AI Agents in TypeScript (No Python Re…
✓ Good PatternVISUAL DIAGRAM
Visual Diagram: Full-Stack AI Agents in TypeScript (No Python Re…Visual architectural diagram showing: Step 1: Core Architecture & Production Implementation (Mental model & why it matters) -> Step 2: Full-Stack AI Agents in TypeScript (No Python Required) (Under the hood & live code) -> Step 3: Ship It Purrfectly (✓ Production trade-offs). Step-by-step diagram breakdown for Full-Stack AI Agents in TypeScript (No Python Required): Agent Evals, Guardrails & Spend Caps in Production: start with Core Architecture & Production Implementation, implement Full-Stack AI Agents in TypeScript (No Python Required), and ship to production.✓Step 01Core Architecture & Prod…Mental model & why it matters✓Step 02Full-Stack AI Agents in …Under the hood & live code✓Step 03Ship It Purrfectly✓ Production trade-offsunroll the yarn✓ production ready
[Diagram Walkthrough]Step-by-step diagram breakdown for Full-Stack AI Agents in TypeScript (No Python Required): Agent Evals, Guardrails & Spend Caps in Production: start with Core Architecture & Production Implementation, implement Full-Stack AI Agents in TypeScript (No Python Required), and ship to production.
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