LLM TestForge

AI/MLIntermediateApr 12, 2026

LLM TestForge

Intelligent test data generation for robust LLM applications.

The Problem

Solo developers and small teams building LLM-powered applications face a significant challenge in ensuring the reliability and safety of their models. Manually creating comprehensive test datasets that cover a wide array of scenarios, including edge cases, adversarial prompts (e.g., prompt injections), and subtle variations, is incredibly time-consuming and prone to human oversight. This often leads to LLMs exhibiting unexpected behavior in production, such as hallucinations, incorrect responses, or security vulnerabilities, eroding user trust and incurring significant debugging costs. Developers can spend 10-20 hours per feature just on brainstorming and crafting test prompts, significantly delaying time-to-market and increasing development friction.

The Solution

LLM TestForge automates the creation of diverse and challenging test cases for your language model applications. Users define their LLM's purpose, expected behavior, and constraints within a simple interface. Our platform then leverages advanced internal LLMs to intelligently generate a wide spectrum of test inputs, including normal use cases, specific edge cases, and sophisticated adversarial examples designed to probe for vulnerabilities. Developers can then export these generated test cases to run against their own LLM endpoints, analyze the responses, and iteratively improve their models. This unique approach drastically reduces manual testing effort, enhances model robustness, and accelerates the development cycle, empowering builders to ship higher-quality LLM applications with confidence.

Tech Stack

Frontend
Next.js 14ReactTailwind CSSshadcn/ui
Backend
Next.js API RoutesVercel AI SDKZod (validation)
Database
PostgreSQL (Supabase)
APIs
Stripe (for subscriptions)Resend (for transactional emails)Anthropic Claude API (for test case generation)OpenAI API (alternative for test case generation)

System Architecture

Database Schema

CREATE TABLE users (
  id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
  email TEXT UNIQUE NOT NULL,
  password_hash TEXT,
  stripe_customer_id TEXT UNIQUE,
  subscription_status TEXT DEFAULT 'free',
  created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP
);

CREATE TABLE test_suites (
  id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
  user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
  name TEXT NOT NULL,
  description TEXT,
  llm_purpose TEXT NOT NULL, -- User's high-level description of their LLM's function
  expected_output_format TEXT, -- JSON, natural language, etc.
  constraints TEXT, -- E.g., 'no profanity', 'always answer in Haiku'
  created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP
);

CREATE INDEX idx_test_suites_user_id ON test_suites(user_id);

CREATE TABLE test_cases (
  id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
  test_suite_id UUID NOT NULL REFERENCES test_suites(id) ON DELETE CASCADE,
  input_prompt TEXT NOT NULL,
  expected_behavior TEXT, -- What the LLM *should* do or avoid
  type TEXT NOT NULL DEFAULT 'normal', -- e.g., 'normal', 'edge', 'adversarial', 'stress'
  created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP
);

CREATE INDEX idx_test_cases_test_suite_id ON test_cases(test_suite_id);

CREATE TABLE test_runs (
  id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
  test_suite_id UUID NOT NULL REFERENCES test_suites(id) ON DELETE CASCADE,
  user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
  started_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,
  completed_at TIMESTAMPTZ,
  status TEXT DEFAULT 'pending', -- 'pending', 'running', 'completed', 'failed'
  results_summary JSONB, -- Overall summary like pass rate, avg response time
  created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP
);

CREATE INDEX idx_test_runs_test_suite_id ON test_runs(test_suite_id);
CREATE INDEX idx_test_runs_user_id ON test_runs(user_id);

API Endpoints

POST/api/auth/signupRegister a new user with email and password.
POST/api/auth/signinLog in an existing user and return a session token.
GET/api/user/meRetrieve the authenticated user's profile and subscription status.
GET/api/test-suitesFetch all test suites for the authenticated user.
POST/api/test-suitesCreate a new test suite for an LLM application.
GET/api/test-suites/[id]Retrieve details of a specific test suite.
PUT/api/test-suites/[id]Update an existing test suite.
DELETE/api/test-suites/[id]Delete a test suite and all associated test cases.
POST/api/test-suites/[id]/generate-test-casesTrigger the AI to generate new test cases for a given test suite based on its defined purpose and constraints. Returns a job ID.
GET/api/test-suites/[id]/test-casesFetch all generated test cases for a specific test suite.
GET/api/test-suites/[id]/test-cases/[caseId]Retrieve a specific test case.
POST/api/stripe/checkout-sessionCreate a Stripe checkout session for a new subscription.
POST/api/stripe/webhookStripe webhook endpoint to handle subscription changes and update user status.
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