Hands-on lab

Production AI System Design Lab

Build and test the reliability layer around a production LLM application, including contracts, validation, retries, idempotency, fallback routing, observability, and release gates.

TypeScriptadvancedTechnically verified
Production AI architecture showing an application service, model gateway, LLM provider, reliability controls, observability and evaluation

What you will build

Build and test the reliability layer around a production LLM application, including contracts, validation, retries, idempotency, fallback routing, observability, and release gates.

01

Typed AI Application Contract

Explicit success/refusal/degraded/error result types.

02

Minimal Model Gateway

Provider-neutral generation boundary for timeout, telemetry, configuration, usage, and parsing.

03

Provider Adapter

One concrete SDK adapter isolated from business logic.

Prerequisites

  • HTTP and API fundamentals
  • Node.js or comparable backend experience
  • Basic TypeScript
  • Basic LLM API usage
  • Async error handling
  • Basic logging and metrics

Capabilities you will leave with

  • Typed AI Application Contract
  • Minimal Model Gateway
  • Provider Adapter
  • Structured Output Validation
  • Business Rule Validation
  • Deadline, Retry Classification, and Backoff
Build sequence

Project modules

Typed AI Application Contract

Explicit success/refusal/degraded/error result types.

src/contracts.ts
View source

Minimal Model Gateway

Provider-neutral generation boundary for timeout, telemetry, configuration, usage, and parsing.

src/model-gateway.ts
View source

Provider Adapter

One concrete SDK adapter isolated from business logic.

src/providers/adapter.ts
View source

Structured Output Validation

Request schema-constrained output and validate again locally.

src/validation/schema.ts
View source

Business Rule Validation

Apply deterministic domain checks after schema validation.

src/validation/business.ts
View source

Deadline, Retry Classification, and Backoff

Bounded retry policy with error classification, jitter, and total deadline.

src/reliability/retry.ts
View source

Idempotent Side-Effect Boundary

Safe mock action guarded by policy, authorization, and idempotency.

src/actions/idempotent.ts
View source

Primary and Fallback Routing

Explicit failure-triggered fallback with telemetry.

src/routing/fallback.ts
View source

OpenTelemetry AI Request Trace

Trace application/model boundaries and usage without capturing sensitive content by default.

src/observability/tracing.ts
View source

Evaluation Release Gate CLI

Fail CI when quality, reliability, latency, safety, or cost thresholds regress.

src/eval/release-gate.ts
View source
Measured behavior

Experiment results

Experiment 01

Timeout Behavior

PASSED

Inject 500 ms, 2 s, 5 s, and over-deadline latency.

Cases
4
Completion Rate
0.75
Timeout Rate
0.25
P95 Latency Ms
5,007.8
Local test harness

Three in-budget requests completed and the over-deadline request was cancelled.

Experiment 02

Retry Amplification

PASSED

Compare no retry, fixed retry, and exponential backoff under 429/5xx faults.

Provider Calls
None: 1 · Fixed: 3 · Exponential: 3 · Non Retryable: 1
Successful Tasks
None: 0 · Fixed: 1 · Exponential: 1
P95 Simulated Latency Ms
60
Retry Amplification Factor
3
Local test harness

Bounded retries recovered temporary 429/500 failures and did not retry permanent failures.

Experiment 03

Schema Validity vs Business Validity

PASSED

Classify outputs as parseable, schema-valid, and business-valid.

Samples
5
Parse Success Rate
0.8
Schema Validity Rate
0.6
Business Validity Rate
0.2
Refusal Or Failure Rate
0.8
Local test harness

Parsing, structural validity, and domain validity were measured independently.

Experiment 04

Primary-Only vs Primary-With-Fallback

PASSED

Run identical tasks under healthy and failed-primary conditions.

Primary Only Completion Rate
0.25
Fallback Completion Rate
0.75
Average Deterministic Quality
0.87
P95 Latency Ms
0.64
Fallback Rate
0.5
Cost Units Per Successful Task
1.67
Local test harness

Fallback improved completion for retryable failures without masking authentication failures.

Experiment 05

Concurrency and Tail-Latency Load Test

PASSED

Use a mock provider by default; live calls only when explicitly authorized.

Tasks
80
Throughput Per Second
187.58
P50 Latency Ms
15.24
P95 Latency Ms
41.03
P99 Latency Ms
41.84
Error Rate
0.9
Rate Limit Rate
0.9
Local test harness

A capacity-limited fake provider exposed throughput, tail latency, errors, and rate limiting under bursts.

Local setup

Run locally

terminal
git clone https://github.com/sarvab-dev/prodai-stack-labs
cd prodai-stack-labs/production-ai-system-design
npm install
npm test
Technically verifiedCommit ca6908c
Continue learning

Connect the implementation to the architecture

Continue in Production AI Foundations.

Review the decisions in Production AI System Design: From Model Call to Reliable Product.