lindy-multi-env-setup

# Lindy Multi-Environment Setup ## Overview Isolate Lindy AI agents across development, staging, and production using separate workspaces, dedicated API keys, and environment-specific webhook configurations. Lindy agents live in workspaces — each environment should use its own workspace to prevent cross-environment data leakage. ## Prerequisites - Multiple Lindy workspaces (one per environment) or Enterprise plan - Secret management solution (env vars, Vault, AWS/GCP secrets) - CI/CD pipeline with environment-aware deployment - Application with environment detection logic ## Environment Strategy | Environment | Workspace | API Key Source | Agent Config | |-------------|-----------|---------------|-------------| | Development | `dev-workspace` | `.env.local` | Debug prompts, test integrations | | Staging | `staging-workspace` | CI/CD secrets | Production-like, test data | | Production | `prod-workspace` | Secret manager | Hardened prompts, live integrations | ## Instructions ### Step 1: Create Separate Workspaces 1. Log in at https://app.lindy.ai 2. Create workspace for each environment: `[company]-dev`, `[company]-staging`, `[company]-prod` 3. Generate separate API keys in each workspace 4. Store each key in the appropriate secret store ### Step 2: Environment Configuration ```typescript // config/lindy.ts — Environment-aware Lindy configuration interface LindyConfig { apiKey: string; webhookUrl: string; webhookSecret: string; workspace: string; model: string...