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@clearfeed-ai/quix-assetpanda-agent

v2.1.0

Published

This package provides integration with AssetPanda, an asset management platform, for the Quix AI agent system.

Readme

AssetPanda Integration for Quix

This package provides integration with AssetPanda, an asset management platform, for the Quix AI agent system.

Features

v1 Scope Implementation

  • Create Employee Record: Add new employees to AssetPanda
  • Reserve Asset: Mark assets as reserved for future assignment
  • Assign Asset to User: Allocate hardware assets to specific employees
  • Mark Asset as Returned: Unassign assets and mark them as available
  • Assign Software License: Allocate software licenses to employees
  • Reclaim/Deallocate Software License: Free up license seats from employees

Additional Features

  • Check Asset Availability: Search for available assets by type
  • List Groups: View all asset groups (Hardware, Licenses, etc.)
  • List Users: View all employees in the system
  • Search Objects: Advanced search for assets and licenses

Installation

yarn add @clearfeed-ai/quix-assetpanda-agent

Configuration

Environment Variables

Add the following to your environment configuration:

ASSETPANDA_API_TOKEN=your_api_token_here

Configuration Object

import { AssetPandaConfig } from '@clearfeed-ai/quix-assetpanda-agent';

const config: AssetPandaConfig = {
  apiToken: 'your_api_token_here',
  enabled: true
};

Usage

Basic Setup

import {
  AssetPandaService,
  createAssetPandaToolsExport
} from '@clearfeed-ai/quix-assetpanda-agent';

// Create service instance
const service = new AssetPandaService(config);

// Create tools for the agent
const tools = createAssetPandaToolsExport(config);

Tool Examples

Create Employee

const result = await service.createEmployee({
  first_name: 'John',
  last_name: 'Doe',
  email: '[email protected]',
  password: 'securepassword',
  password_confirmation: 'securepassword',
  create_for_account: '123456'
});

Reserve Asset

const result = await service.reserveAsset({
  asset_name: 'MacBook Pro 16"',
  group_name: 'Hardware'
});

Assign Asset to User

const result = await service.assignAssetToUser({
  asset_name: 'MacBook Pro 16"',
  employee_email: '[email protected]',
  group_name: 'Hardware'
});

Assign Software License

const result = await service.assignSoftwareLicense({
  license_name: 'Figma Professional',
  employee_email: '[email protected]',
  group_name: 'Licenses'
});

API Endpoints Used

This integration uses the following AssetPanda API endpoints:

  • GET /users - List users
  • POST /users - Create user
  • GET /groups - List groups
  • POST /groups/{group_id}/objects/search - Search objects
  • PATCH /groups/{group_id}/objects/{object_id} - Update object

All endpoints are accessed via the base URL: https://api.assetpanda.com/v3

Asset Groups

The integration works with different asset groups in AssetPanda:

  • Hardware/Assets: Physical assets like laptops, monitors, etc.
  • Licenses: Software licenses with seat management
  • Employees: User records for employees

Error Handling

All operations return a standardized response format:

interface BaseResponse<T> {
  success: boolean;
  data?: T;
  error?: string;
}

Testing

Run the test suite:

yarn test

Run integration tests:

yarn test:integration

Building

Build the package:

yarn build

Development

Project Structure

src/
├── index.ts          # Main service implementation
├── tools.ts          # Tool definitions for the agent
├── types.ts          # TypeScript interfaces
├── schema.ts         # Zod schemas for validation
├── test-setup.ts     # Test configuration
└── integration.spec.ts # Integration tests

Adding New Features

  1. Add new types to types.ts
  2. Add Zod schemas to schema.ts
  3. Implement API methods in index.ts
  4. Create tools in tools.ts
  5. Add tests in integration.spec.ts

License

Apache-2.0