Ship AI Features 10x Faster

The missing layer between your code and AI models. Manage prompts like content, not code. Update instantly, version everything, test without deploying.

<100ms response time

Instant updates

Version control built-in

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See how it works

example.py

// Python SDK
from promptos import PromptOSClient

client = PromptOSClient(api_key="your-api-key")

# Render a prompt - always gets the latest version
result = client.prompts.render(
    "customer-support-response",
    inputs={
        "issue": ticket.category,
        "sentiment": customer.sentiment,
        "history": previous_interactions
    }
)

print(result.content)  # Your AI-ready prompt

How It Works

Get started in minutes, manage prompts forever

Install & Configure

Add our SDK and initialize with your API key. Available for Python, TypeScript, and more.

typescript.ts

// Install the SDK
npm install @promptos/sdk

// Initialize the client
import { PromptOSClient } from '@promptos/sdk';

const client = new PromptOSClient({
  apiKey: process.env.PROMPTOS_API_KEY!,
  // Optional: Use EU endpoint for GDPR compliance
  environment: 'eu'
});

Create & Version Prompts

Design prompts in our dashboard. Test different versions, use variables, preview outputs.

text.ts

Dashboard Configuration:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Name: welcome-email
Status: Published (v3)

Prompt Template:
"Generate a friendly welcome email for {{userName}}.
They just joined our {{planType}} plan.
Tone: {{tone}}
Include: onboarding steps, key features, support contact"

Variables:
- userName (required): Customer's name
- planType (required): Subscription tier
- tone (optional): Writing style, default: "professional"

Render with One Call

Fetch and render prompts with variables. Cached for speed, always returns latest version.

typescript.ts

// Render prompt with type-safe inputs
const response = await client.prompts.render('welcome-email', {
  userName: 'Sarah Chen',
  planType: 'Professional',
  tone: 'friendly'
});

// Response includes rendered content and metadata
console.log(response.content);    // "Welcome Sarah Chen! We're thrilled..."
console.log(response.promptId);   // "welcome-email"
console.log(response.versionId);  // "v3"
console.log(response.cached);     // true (subsequent calls are cached)

Works with OpenAI, Anthropic, Google AI, and any LLM provider

Get Started Free

Real-World Use Cases

See how teams use PromptOS.dev to ship faster and iterate without limits

Customer Support AI

Dynamic response templates

✗

Before:

Hardcoded prompts requiring deployment for tone changes

✓

After:

Adjust tone and style instantly based on customer feedback

50% faster response updates

0 deployments needed

app.ts

import { PromptOSClient } from '@promptos/sdk';

const client = new PromptOSClient({ apiKey: process.env.PROMPTOS_KEY });

// Fetch the latest support prompt with dynamic variables
const response = await client.prompts.render('support-response', {
  customerName: ticket.customerName,
  issue: ticket.category,
  sentiment: analyzeSentiment(ticket.message),
  previousInteractions: customer.historyCount,
  subscription: customer.plan
});

// Use with your AI model
const aiResponse = await openai.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "system", content: response.content }]
});

Content Generation

Multi-language marketing copy

✗

Before:

New deployment for each language or tone adjustment

✓

After:

Marketing team updates prompts directly, A/B tests variations

10x faster iterations

3x higher engagement

app.py

from promptos import PromptOSClient
import anthropic

client = PromptOSClient(api_key=os.getenv("PROMPTOS_KEY"))
claude = anthropic.Anthropic()

# Marketing team can update this prompt anytime
response = client.prompts.render(
    "product-description",
    inputs={
        "product_name": product.name,
        "features": product.key_features,
        "target_audience": campaign.audience,
        "language": user.locale,
        "tone": campaign.style,  # "professional", "casual", "luxury"
        "word_count": 150
    }
)

# Generate content with Claude
result = claude.messages.create(
    model="claude-3-sonnet-20240229",
    messages=[{"role": "user", "content": response.content}]
)

Code Assistant

Development workflow automation

✗

Before:

Engineers update prompts, wait for PR reviews and deployment

✓

After:

Instant prompt refinements based on output quality

Daily prompt improvements

85% accuracy increase

app.ts

// TypeScript code review assistant
const promptos = new PromptOSClient({ 
  apiKey: process.env.PROMPTOS_KEY,
  environment: 'production' 
});

// Evolve prompts without code changes
const { content, versionId } = await promptos.prompts.render(
  'code-review-assistant',
  {
    code: pullRequest.diff,
    language: 'typescript',
    guidelines: team.standards,
    focus: ['security', 'performance', 'best-practices'],
    severity: 'medium'
  }
);

console.log(`Using prompt version: ${versionId}`);

// Integrate with your preferred AI
const review = await generateReview(content);

Prompts as a Service

Stop hardcoding prompts. Manage them like content, deploy them like configuration.

⚡

Lightning Fast Performance

Sub-100ms response times with Redis caching. Smart invalidation ensures fresh content instantly when you publish.

🔄

Version Control & Rollback

Every change tracked. Compare versions, rollback instantly, maintain audit trails. Git-like workflow for prompts.

📦

Official SDKs

Production-ready SDKs for Python, TypeScript, and more. Type-safe, well-documented, open source.

🎯

Dynamic Variables

Powerful templating with runtime variables. Personalize prompts without code changes.

👥

Team Collaboration

Role-based access control. Let product teams manage prompts while developers focus on code.

🏢

Enterprise Ready

99.9% uptime SLA, SOC2 compliance, on-premise options. Scale from startup to enterprise.

Built for Scale & Reliability

Enterprise-grade infrastructure designed for production workloads

Global Redis Caching

Intelligent caching with automatic invalidation on publish

Sub-100ms response times globally

Bearer Token Auth

Simple, secure API authentication

Scope-based permissions per key

Version Management

Git-like versioning for all prompt changes

Instant rollback capabilities

High Availability

99.9% uptime SLA with redundancy

Multi-region deployment

Simple Integration, Powerful Results

📊

Analytics Built-in

Track usage, performance, and costs per prompt

🔒

Security First

Encrypted at rest and in transit, SOC2 compliant

🌍

Global CDN

Edge locations worldwide for minimal latency

View our open source SDKs

Ready to Code?

Get started in minutes with our production-ready SDKs

app.ts

import { PromptOSClient } from '@promptos/sdk';

// Initialize once
const promptos = new PromptOSClient({
  apiKey: process.env.PROMPTOS_API_KEY!,
  // Optional configurations
  maxRetries: 3,
  timeout: 30000,
  environment: 'production'
});

// List all available prompts
const prompts = await promptos.prompts.list();
console.log(`Found ${prompts.data.length} prompts`);

// Get a specific prompt with all versions
const prompt = await promptos.prompts.get('email-writer');
console.log(`Latest version: ${prompt.publishedVersion?.version}`);

// Render with variables - always uses latest published version
const result = await promptos.prompts.render('email-writer', {
  recipientName: 'Alex',
  subject: 'Welcome to PromptOS',
  tone: 'friendly',
  includeSignature: true
});

console.log(result.content); // Your rendered prompt
console.log(`Cached: ${result.cached}`); // true on subsequent calls

app.py

from promptos import PromptOSClient
import os

# Initialize the client
client = PromptOSClient(
    api_key=os.getenv("PROMPTOS_API_KEY"),
    # Optional configurations
    environment="production",
    max_retries=3,
    timeout=30
)

# List all prompts with pagination
prompts = client.prompts.list(limit=10, offset=0)
print(f"Total prompts: {prompts.total}")

# Get prompt details including all versions
prompt = client.prompts.get("email-writer")
print(f"Published version: {prompt.published_version.version}")

# Render a prompt with input variables
result = client.prompts.render(
    "email-writer",
    inputs={
        "recipientName": "Alex",
        "subject": "Welcome to PromptOS",
        "tone": "friendly",
        "includeSignature": True
    }
)

print(result.content)  # Your rendered prompt
print(f"Version used: {result.version_id}")
print(f"Response cached: {result.cached}")

terminal

# List all prompts
curl -X GET https://api.promptos.dev/v1/prompts \
  -H "Authorization: Bearer YOUR_API_KEY"

# Get a specific prompt
curl -X GET https://api.promptos.dev/v1/prompts/email-writer \
  -H "Authorization: Bearer YOUR_API_KEY"

# Render a prompt with variables
curl -X POST https://api.promptos.dev/v1/prompts/email-writer/render \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": {
      "recipientName": "Alex",
      "subject": "Welcome to PromptOS",
      "tone": "friendly",
      "includeSignature": true
    }
  }'

# Response includes rendered content and metadata
{
  "content": "Your rendered prompt content...",
  "promptId": "email-writer",
  "versionId": "v3",
  "cached": false,
  "metadata": { ... }
}

View Python SDK View TypeScript SDK

Frequently Asked Questions

Everything you need to know about PromptOS.dev

How is this different from environment variables?

Environment variables require redeployment and are static. PromptOS.dev provides instant updates without deployment, version control with rollback, dynamic variable substitution, and sub-100ms response times with intelligent caching.

What happens if your service goes down?

We offer 99.9% uptime SLA with global CDN distribution. You can implement caching and fallback prompts in your application. Enterprise plans include on-premise deployment options.

How secure is it to store prompts externally?

All prompts are encrypted at rest and in transit. We're SOC2 compliant, offer role-based access control, audit logs, and private cloud options for enterprise customers.

Which AI models do you support?

PromptOS.dev is model-agnostic. Use it with OpenAI, Anthropic, Google, Cohere, or any LLM. We just manage the prompt text - you handle the AI integration.

Can I version control and rollback prompts?

Yes! Every change is versioned automatically. Rollback instantly to any previous version, compare changes, and maintain a complete audit trail of who changed what and when.

How long does integration take?

Most teams integrate in under 5 minutes. Install our SDK (npm install @promptos/sdk or pip install promptos), add your API key, and start fetching prompts. Examples available in our GitHub repositories.

What about performance and latency?

Our API delivers sub-100ms response times globally using Redis caching with smart invalidation. When you publish a new prompt version, caches are instantly cleared to ensure fresh content without manual intervention.

Still have questions?

Contact our team →

Ready to ship AI features faster?

Join innovative teams using PromptOS to iterate on AI without code deployments.

✓ Free tier available ✓ <100ms response times ✓ Open source SDKs ✓ No credit card required

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