AGENT SKILL

lindy-multi-env-setup

Configure Lindy AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Lindy configurations. Trigger with phrases like "lindy environments", "lindy staging", "lindy dev prod", "lindy environment setup", "lindy config by env".

License 许可
MIT
最近更新
2026-11-11
Stars
★ 2.0k
Forks
231

01 前言 Front Matter

name
lindy-multi-env-setup
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
version
1.0.0
description
Configure Lindy AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Lindy configurations. Trigger with phrases like "lindy environments", "lindy staging", "lindy dev prod", "lindy environment setup", "lindy config by env".
allowed-tools
Read, Write, Edit, Bash(aws:*), Bash(gcloud:*), Bash(vault:*)

03 SKILL.md 正文

Lindy Multi Env Setup

Overview

Configure Lindy AI across development, staging, and production environments.

Prerequisites

  • Separate Lindy API keys per environment
  • Secret management solution (Vault, AWS Secrets Manager, etc.)
  • CI/CD pipeline with environment variables
  • Environment detection in application

Instructions

Step 1: Create Environment Configuration

// config/lindy.ts
interface LindyConfig {
  apiKey: string;
  environment: 'development' | 'staging' | 'production';
  baseUrl?: string;
  timeout: number;
  retries: number;
}

const configs: Record<string, LindyConfig> = {
  development: {
    apiKey: process.env.LINDY_DEV_API_KEY!,
    environment: 'development',
    timeout: 60000,
    retries: 1,
  },
  staging: {
    apiKey: process.env.LINDY_STAGING_API_KEY!,
    environment: 'staging',
    timeout: 45000,
    retries: 2,
  },
  production: {
    apiKey: process.env.LINDY_PROD_API_KEY!,
    environment: 'production',
    timeout: 30000,
    retries: 3,
  },
};

export function getLindyConfig(): LindyConfig {
  const env = process.env.NODE_ENV || 'development';
  return configs[env] || configs.development;
}

Step 2: Implement Environment Detection

// lib/lindy-client.ts
import { Lindy } from '@lindy-ai/sdk';
import { getLindyConfig } from '../config/lindy';

let client: Lindy | null = null;

export function getLindyClient(): Lindy {
  if (!client) {
    const config = getLindyConfig();

    // Validate environment
    if (config.environment === 'production') {
      if (!config.apiKey.startsWith('lnd_prod_')) {
        throw new Error('Production requires production API key');
      }
    }

    client = new Lindy({
      apiKey: config.apiKey,
      timeout: config.timeout,
      retries: config.retries,
    });
  }

  return client;
}

Step 3: Configure Secrets by Environment

# AWS Secrets Manager structure
secrets/
├── lindy/development
│   └── api_key: lnd_dev_xxx
├── lindy/staging
│   └── api_key: lnd_stg_xxx
└── lindy/production
    └── api_key: lnd_prod_xxx
// secrets/lindy.ts
import { SecretsManager } from '@aws-sdk/client-secrets-manager';

export async function getLindyApiKey(env: string): Promise<string> {
  const client = new SecretsManager({ region: 'us-east-1' });

  const response = await client.getSecretValue({
    SecretId: `lindy/${env}`,
  });

  const secret = JSON.parse(response.SecretString!);
  return secret.api_key;
}

Step 4: Environment-Specific Agents

// agents/config.ts
interface AgentMapping {
  development: string;
  staging: string;
  production: string;
}

const agentMappings: Record<string, AgentMapping> = {
  support: {
    development: 'agt_dev_support',
    staging: 'agt_stg_support',
    production: 'agt_prod_support',
  },
  sales: {
    development: 'agt_dev_sales',
    staging: 'agt_stg_sales',
    production: 'agt_prod_sales',
  },
};

export function getAgentId(agentName: string): string {
  const env = process.env.NODE_ENV || 'development';
  const mapping = agentMappings[agentName];

  if (!mapping) {
    throw new Error(`Unknown agent: ${agentName}`);
  }

  return mapping[env as keyof AgentMapping];
}

Step 5: Add Environment Guards

// guards/production.ts
export function requireProduction(): void {
  if (process.env.NODE_ENV !== 'production') {
    throw new Error('This operation requires production environment');
  }
}

export function preventProduction(): void {
  if (process.env.NODE_ENV === 'production') {
    throw new Error('This operation is not allowed in production');
  }
}

// Usage
async function dangerousOperation() {
  preventProduction();
  // ... destructive test operation
}

async function productionOnlyOperation() {
  requireProduction();
  // ... production-only logic
}

Output

  • Multi-environment configuration
  • Environment detection logic
  • Secure secret management
  • Environment-specific agents
  • Production safeguards

Error Handling

Issue Cause Solution
Wrong key for env Config error Validate key prefix
Secret not found Not provisioned Create in secrets manager
Agent not found Wrong environment Check agent mapping

Examples

Complete Environment Setup

// index.ts
import { getLindyClient } from './lib/lindy-client';
import { getAgentId } from './agents/config';

async function main() {
  const lindy = getLindyClient();
  const agentId = getAgentId('support');

  console.log(`Environment: ${process.env.NODE_ENV}`);
  console.log(`Agent: ${agentId}`);

  const result = await lindy.agents.run(agentId, {
    input: 'Test message',
  });

  console.log('Response:', result.output);
}

main().catch(console.error);

Resources

Next Steps

Proceed to lindy-observability for monitoring setup.

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