SDK Quickstart

Get your first AI agent running in 5 minutes.

Prerequisites

Sekuire CLI installed
API key from your dashboard
LLM API key (OpenAI, Anthropic, etc.)

Step 1: Create a Project

Use the CLI to scaffold a new agent:

Terminalbash

sekuire init --name my-agent --language python
cd my-agent

This creates a sekuire.yml config file and project structure.

Step 2: Configure Your Agent

Edit sekuire.yml to set your LLM provider:

sekuire.ymlyaml

project:
  name: "my-agent"
  version: "1.0.0"

agents:
  assistant:
    name: "AI Assistant"
    system_prompt: "./prompts/assistant.md"
    llm:
      provider: "openai"
      model: "gpt-4-turbo"
      api_key_env: "OPENAI_API_KEY"
      temperature: 0.7
    memory:
      type: "buffer"
      max_messages: 10

Set your API key in the environment:

bash

export OPENAI_API_KEY="sk-..."
# or add to .env file

Step 3: Install the SDK

typescript

npm install @sekuire/sdk

Step 4: Use the Agent

typescript

import { getAgent } from '@sekuire/sdk';

async function main() {
  // Load agent from sekuire.yml
  const agent = await getAgent('assistant');
  
  // Chat with the agent
  const response = await agent.chat('What is the capital of France?');
  console.log(response);
  
  // Continue the conversation
  const followUp = await agent.chat('What is its population?');
  console.log(followUp);
  
  // Get conversation history
  const history = agent.getHistory();
  console.log(`Messages: ${history.length}`);
}

main();

Step 5: Run It

typescript

npx tsx main.ts
# or
node --loader ts-node/esm main.ts

💡Use sekuire run to run your agent with automatic bootstrap and heartbeat for production deployments.

Next Steps

Agent API — Deep dive into agent methods
Built-in Tools — Add capabilities to your agent
Streaming — Real-time token responses
Publishing — Push to the registry