Editor

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Build and Deploy Production-Ready Prompts

• 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)

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Version Control for Your Prompts

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

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Prompt Editor Copilot

• 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)

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Real-Time Testing

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

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Auto-Improve (Beta)

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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

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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

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Using Prompts in Your Code

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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);

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Using API to pull down the compiled prompt templates

Step 1: Get the compile the prompt template

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

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;