AI Agent Starter Kit

Name: AI Agent Starter Kit
Brand: DevHubTools
SKU: DHT-AI-AGENT-STARTER-KIT
Price: 19.00 USD
Availability: InStock

Build deterministic, tool-calling AI agents with structured outputs, memory, and cost guardrails.

TypeScriptNode.js 20+Next.jsOpenAI / Anthropic SDK

Architecture Overview & Problem Solved

A clean, framework-light TypeScript skeleton for building reliable AI agents without heavy abstraction bloat. Includes tool-calling loops, JSON schema output enforcement, SQLite/Turso conversation memory, and automatic retry with exponential backoff.

Why builders use this kit: Most agent tutorials break in production when an LLM returns malformed JSON or enters an infinite tool loop. This kit enforces strict max-step budgets and schema validation.

Flagship Kit

$19.00$39.00

Commercial Multi-Project License

⏳ Scheduled Pipeline Release

This starter kit releases on 2026-10-15. Enter your email to receive an instant launch notification and a 20% discount code.

Tested Compatibility Versions

Node.js 20.10+ • TypeScript 5.5+ • OpenAI SDK v4+ • Anthropic SDK v0.30+

External API Costs

Requires your own OpenAI or Anthropic API key. Includes token-budget middleware to cap spend.

Secrets & Credentials Handling

Uses strict environment variable validation via Zod before agent initialization.

Known Limitations

Designed for server-side Node.js/Next.js execution; not intended for unauthenticated browser calls.

Includes future v1.x updatesSupport Policy

What's Included in the Package

Complete TypeScript Agent Runner with tool registry & max-iteration guardrails
6 pre-built tools (Web Fetcher, SQL Read-Only Query, JSON Validator, GitHub PR Reader, Calculator, Webhook Caller)
Turso / SQLite conversation state & token-usage logger
Comprehensive architecture guide & prompt evaluation suite

Installation & Setup Instructions

01Clone or extract the starter kit and run npm install.
02Copy .env.example to .env and add OPENAI_API_KEY or ANTHROPIC_API_KEY.
03Register your custom tools in src/agents/tools.ts with typed input schemas.
04Run npm run agent:demo to execute the multi-step research and verification loop.

Example Input Payload

{
  "goal": "Analyze PR #42 diff and output structured security review",
  "maxSteps": 4,
  "model": "claude-3-7-sonnet"
}

Example Verified Output

{
  "approved": true,
  "riskScore": "low",
  "findings": ["Parameterized SQL verified in src/db/index.ts"],
  "tokensUsed": 1420
}

Included Code / Node Preview

export async function runAgentLoop(goal: string, tools: Record<string, AgentTool>, maxSteps = 5) {
  for (let step = 1; step <= maxSteps; step++) {
    const decision = await callModelWithTools(goal, tools);
    if (decision.type === "final_answer") {
      return { status: "completed", step, output: decision.payload };
    }
    const tool = tools[decision.toolName];
    if (!tool) throw new Error(`Unknown tool requested: ${decision.toolName}`);
    await tool.execute(decision.arguments);
  }
  throw new Error("MAX_STEPS_EXCEEDED: Agent halted safely by budget guardrail.");
}

Version Changelog

v1.8.02026-10-15

Added dual-provider router for Claude and GPT-4o structured outputs.

Product FAQ & Licensing

Does this require LangChain?

No. It is written in clean, dependency-light TypeScript so you can debug every single line.