Lindy AI Multi-Environment Setup

Overview

Configure Lindy AI across development, staging, and production environments with isolated API keys, environment-specific settings, and proper secret management. Each environment gets its own credentials and configuration to prevent cross-environment data leakage.

Prerequisites

• Separate Lindy AI API keys per environment
• Secret management solution (environment variables, Vault, or cloud secrets)
• CI/CD pipeline with environment-aware deployment
• Application with environment detection logic

Environment Strategy

Instructions

Step 1: Configuration Structure

Step 2: Base Configuration

Step 3: Environment-Specific Configs

Step 4: Environment Resolver

Step 5: Secret Management

For detailed implementation code and configurations, load the reference guide: Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)

Error Handling

Examples

Quick Environment Check

Startup Validation

Resources

• Lindy AI Documentation
• Lindy API Reference

Next Steps

For deployment, see lindy-deploy-integration.

Output

• Configuration files or code changes applied to the project
• Validation report confirming correct implementation
• Summary of changes made and their rationale

See deployment implementation details for output format specifications.