Editor

Design, version, and manage your prompts collaboratively, then effortlessly deploy them across your app.

Build and Deploy Production-Ready Prompts

The Helicone Prompt Editor enables you to:

• Design prompts collaboratively in a UI
• Create templates with variables and track real production inputs
• Connect to any major AI provider (Anthropic, OpenAI, Google, Meta, DeepSeek and more)

Version Control for Your Prompts

Take full control of your prompt versions:

• Track versions automatically in code or manually in UI
• Switch, promote, or rollback versions instantly
• Deploy any version using just the prompt ID

Prompt Editor Copilot

Write prompts faster and more efficiently:

• Get auto-complete and smart suggestions
• Add variables (⌘E) and XML delimiters (⌘J) with quick shortcuts
• Perform any edits you describe with natural language (⌘K)

Real-Time Testing

Test and refine your prompts instantly:

• Edit and run prompts side-by-side with instant feedback
• Experiment with different models, messages, temperatures, and parameters

Auto-Improve (Beta)

We’re excited to launch Auto-Improve, an intelligent prompt optimization tool that helps you write more effective LLM prompts. While traditional prompt engineering requires extensive trial and error, Auto-Improve analyzes your prompts and suggests improvements instantly.

How it Works

1. Click the Auto-Improve button in the Helicone Prompt Editor
2. Our AI analyzes each sentence of your prompt to understand:
   • The semantic interpretation
   • Your instructional intent
   • Potential areas for enhancement
3. Get a new suggested optimized version of your prompt

Key Benefits

• Semantic Analysis: Goes beyond simple text improvements by understanding the purpose behind each instruction
• Maintains Intent: Preserves your original goals while enhancing how they’re communicated
• Time Saving: Skip hours of prompt iteration and testing
• Learning Tool: Understand what makes an effective prompt by comparing your original with the improved version

Using Prompts in Your Code

API Migration Notice: We are actively working on a new Router project that will include an updated Generate API. While the previous Generate API (legacy) is still functional (see the notice on that page for deprecation timelines), here’s a temporary way to import and use your UI-managed prompts directly in your code in the meantime:

For OpenAI users or Azure

const openai = new OpenAI({
  baseURL: "https://generate.helicone.ai/v1",
  defaultHeaders: {
    "Helicone-Auth": `Bearer ${process.env.HELICONE_API_KEY}`,
    OPENAI_API_KEY: process.env.OPENAI_API_KEY,

    // For Azure users
    AZURE_API_KEY: process.env.AZURE_API_KEY,
    AZURE_REGION: process.env.AZURE_REGION,
    AZURE_PROJECT: process.env.AZURE_PROJECT,
    AZURE_LOCATION: process.env.AZURE_LOCATION,
  },
});

const response = await openai.chat.completions.create({
  inputs: {
    number: "world",
  },
  promptId: "helicone-test",
} as any);

Using API to pull down the compiled prompt templates

Step 1: Get the compile the prompt template

Bash exmaple

curl --request POST \
  --url https://api.helicone.ai/v1/prompt/helicone-test/compile \
  --header 'Content-Type: application/json' \
  --header 'authorization: sk-helicone-n4vqkhi-gg6exli-teictoi-aw7azyy' \
  --data '{
  "filter": "all",
  "includeExperimentVersions": false,
  "inputs": {
    "number": "10"
  }
}'

Javascript example with openai

const promptTemplate = await fetch(
  "https://api.helicone.ai/v1/prompt/helicone-test/compile",
  {
    method: "POST",
    headers: {
      authorization: "sk-helicone-n4vqkhi-gg6exli-teictoi-aw7azyy",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      filter: "all",
      includeExperimentVersions: false,
      inputs: { number: "10" }, // place all of your inputs here
    }),
  }
).then((res) => res.json() as any);

const example = (await openai.chat.completions.create({
  ...(promptTemplate.data.prompt_compiled as any),
  stream: false, // or true
})) as any;