ideogram-multi-env-setup
Configure Ideogram across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment keys, or implementing environment-specific Ideogram configurations. Trigger with phrases like "ideogram environments", "ideogram staging", "ideogram dev prod", "ideogram environment setup", "ideogram multi-env".
Best use case
ideogram-multi-env-setup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Configure Ideogram across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment keys, or implementing environment-specific Ideogram configurations. Trigger with phrases like "ideogram environments", "ideogram staging", "ideogram dev prod", "ideogram environment setup", "ideogram multi-env".
Teams using ideogram-multi-env-setup should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ideogram-multi-env-setup/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ideogram-multi-env-setup Compares
| Feature / Agent | ideogram-multi-env-setup | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Configure Ideogram across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment keys, or implementing environment-specific Ideogram configurations. Trigger with phrases like "ideogram environments", "ideogram staging", "ideogram dev prod", "ideogram environment setup", "ideogram multi-env".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Ideogram Multi-Environment Setup
## Overview
Configure Ideogram API access across development, staging, and production with isolated API keys, environment-specific model/speed settings, and proper secret management. Each environment gets its own key and configuration to prevent cross-environment issues.
## Environment Strategy
| Environment | API Key Source | Model | Speed | Cache | Billing |
|-------------|---------------|-------|-------|-------|---------|
| Development | `.env.local` | V_2_TURBO | TURBO | Disabled | Minimal top-up |
| Staging | CI/CD secrets | V_2 | DEFAULT | 5 min TTL | Moderate |
| Production | Secret manager | V_2 or V3 | DEFAULT | 10 min TTL | Full auto top-up |
## Instructions
### Step 1: Configuration Structure
```typescript
// config/ideogram.ts
type Environment = "development" | "staging" | "production";
interface IdeogramConfig {
apiKey: string;
defaultModel: string;
renderingSpeed: string;
timeout: number;
maxRetries: number;
concurrency: number;
cache: { enabled: boolean; ttlSeconds: number };
debug: boolean;
}
const configs: Record<Environment, Omit<IdeogramConfig, "apiKey">> = {
development: {
defaultModel: "V_2_TURBO",
renderingSpeed: "TURBO",
timeout: 30000,
maxRetries: 1,
concurrency: 2,
cache: { enabled: false, ttlSeconds: 60 },
debug: true,
},
staging: {
defaultModel: "V_2",
renderingSpeed: "DEFAULT",
timeout: 60000,
maxRetries: 3,
concurrency: 5,
cache: { enabled: true, ttlSeconds: 300 },
debug: false,
},
production: {
defaultModel: "V_2",
renderingSpeed: "DEFAULT",
timeout: 60000,
maxRetries: 5,
concurrency: 8,
cache: { enabled: true, ttlSeconds: 600 },
debug: false,
},
};
export function getIdeogramConfig(): IdeogramConfig {
const env = detectEnvironment();
const apiKey = getApiKeyForEnv(env);
if (!apiKey) {
throw new Error(`IDEOGRAM_API_KEY not set for environment: ${env}`);
}
return { ...configs[env], apiKey };
}
function detectEnvironment(): Environment {
const env = process.env.NODE_ENV || "development";
if (env === "production") return "production";
if (env === "staging" || process.env.VERCEL_ENV === "preview") return "staging";
return "development";
}
function getApiKeyForEnv(env: Environment): string {
const envVar = {
development: "IDEOGRAM_API_KEY_DEV",
staging: "IDEOGRAM_API_KEY_STAGING",
production: "IDEOGRAM_API_KEY",
}[env];
return process.env[envVar] || process.env.IDEOGRAM_API_KEY || "";
}
```
### Step 2: Environment Files
```bash
# .env.local (development -- git-ignored)
IDEOGRAM_API_KEY_DEV=your-dev-key
NODE_ENV=development
# .env.staging (CI only)
IDEOGRAM_API_KEY_STAGING=your-staging-key
NODE_ENV=staging
# Production: use secret manager, never .env files
```
### Step 3: Secret Management by Platform
```bash
set -euo pipefail
# --- GitHub Actions ---
gh secret set IDEOGRAM_API_KEY_STAGING --env staging
gh secret set IDEOGRAM_API_KEY --env production
# --- AWS Secrets Manager ---
aws secretsmanager create-secret \
--name ideogram/staging/api-key \
--secret-string "your-staging-key"
aws secretsmanager create-secret \
--name ideogram/production/api-key \
--secret-string "your-production-key"
# --- GCP Secret Manager ---
echo -n "your-staging-key" | gcloud secrets create ideogram-api-key-staging --data-file=-
echo -n "your-production-key" | gcloud secrets create ideogram-api-key-prod --data-file=-
```
### Step 4: GitHub Actions with Environment Secrets
```yaml
# .github/workflows/deploy.yml
jobs:
deploy-staging:
runs-on: ubuntu-latest
environment: staging
env:
IDEOGRAM_API_KEY_STAGING: ${{ secrets.IDEOGRAM_API_KEY_STAGING }}
steps:
- uses: actions/checkout@v4
- run: npm ci && npm run build
- run: npm run deploy:staging
deploy-production:
runs-on: ubuntu-latest
environment: production
needs: deploy-staging
env:
IDEOGRAM_API_KEY: ${{ secrets.IDEOGRAM_API_KEY }}
steps:
- uses: actions/checkout@v4
- run: npm ci && npm run build
- run: npm run deploy:production
```
### Step 5: Startup Validation
```typescript
import { z } from "zod";
const configSchema = z.object({
apiKey: z.string().min(10, "API key too short"),
defaultModel: z.enum(["V_1", "V_1_TURBO", "V_2", "V_2_TURBO", "V_2A", "V_2A_TURBO"]),
timeout: z.number().min(5000).max(120000),
concurrency: z.number().min(1).max(10),
});
// Validate at application startup
try {
const config = configSchema.parse(getIdeogramConfig());
console.log(`Ideogram configured for ${detectEnvironment()} (model: ${config.defaultModel})`);
} catch (err: any) {
console.error("Ideogram config invalid:", err.message);
process.exit(1);
}
```
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Wrong environment detected | Missing `NODE_ENV` | Set in deployment platform |
| Secret not found | Wrong variable name | Check env-specific key name |
| Cross-env data leak | Shared API key | Create separate keys per env |
| Staging using prod key | No env isolation | Validate key identity at startup |
## Output
- Environment-aware configuration with separate API keys
- Secret management for GitHub Actions, AWS, and GCP
- Startup validation preventing misconfiguration
- CI/CD pipeline with environment gates
## Resources
- [Ideogram API Setup](https://developer.ideogram.ai/ideogram-api/api-setup)
- [GitHub Environments](https://docs.github.com/en/actions/deployment/targeting-different-environments)
## Next Steps
For deployment patterns, see `ideogram-deploy-integration`.Related Skills
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