@agnt-sdk/studio

V2 manifest-native LLM executor for Agnt prompts, with a CLI for pulling and running agent manifests locally.

Installation

npm install @agnt-sdk/studio

For the CLI:

npm install -g @agnt-sdk/studio
agnt --help

Configuration

Create agnt.config.js at your project root. See @agnt-sdk/config for the full reference.

// agnt.config.js
export default {
  privateKey: `-----BEGIN PRIVATE KEY-----\n...\n-----END PRIVATE KEY-----`,
  kid: 'your-key-id',
  apiUrl: 'https://api.agnt.ai',
  serviceKey: '',
  outputDir: './agnt/prompts',
  apiMode: true, // false = load from local files (after agnt pull)
};

CLI

agnt pull

Pull one or all prompt manifests from the Agnt platform into your local outputDir:

# Pull a specific prompt
agnt pull myaccount/flight-planner

# Pull all public prompts for an account
agnt pull myaccount/*

Manifests are saved to outputDir/accountSlug/promptSlug.json. Set apiMode: false in your config to execute from these local files instead of fetching from the API on every run.

agnt init

Scaffold an agnt.config.js in the current directory:

agnt init

Programmatic use

AgntExecutor

Execute a prompt by address (accountSlug/promptSlug). Fetches the manifest from the API or a local file depending on apiMode.

import { AgntExecutor } from '@agnt-sdk/studio';

const executor = await AgntExecutor.create({
  credentials: {
    anthropic: { apiKey: process.env.ANTHROPIC_API_KEY },
  },
});

const result = await executor.execute(
  'myaccount/flight-planner',
  { destination: 'New York', departDate: '2025-06-15' },
  {
    // optional tool implementations
    get_flights: {
      execute: async (args) => { /* ... */ }
    }
  }
);

console.log(result.result);   // final output
console.log(result.messages); // full message history
console.log(result.usage);    // token usage + cost

createExecutor

Lower-level factory — takes a V2 PromptManifestV2 object directly:

import { createExecutor } from '@agnt-sdk/studio';

const executor = await createExecutor({
  manifest,
  credentials: {
    anthropic: { apiKey: process.env.ANTHROPIC_API_KEY },
  },
  variables: { key: 'value' },
  toolRouter: { /* tool implementations */ },
});

const result = await executor.execute();

Logging

Pass logLevel to control output verbosity:

const executor = await createExecutor({
  manifest,
  credentials,
  logLevel: 'debug',  // 'debug' | 'info' | 'silent'  (default: 'info')
});

• 'info' — lifecycle events (model selection, tool calls)
• 'debug' — full request/response payloads sent to the LLM
• 'silent' — no output

V2 Manifest format

{
  "$schema": "https://agnt.ai/schemas/manifest/v2.json",
  "kind": "PromptManifest",
  "apiVersion": "v2",
  "metadata": {
    "name": "flight-planner",
    "title": "Flight Planner",
    "description": "Books flights based on user preferences."
  },
  "spec": {
    "routingStrategy": "fallback",
    "enableToolCalls": true,
    "variables": [],
    "models": [
      { "provider": "anthropic", "model": "claude-sonnet-4-5" }
    ],
    "tools": [],
    "files": [],
    "dependencies": []
  }
}

Supported providers

License

MIT