SDK Integration

Installation

Install the Helicone prompts package:

npm install @helicone/prompts
# or
yarn add @helicone/prompts
# or
pnpm add @helicone/prompts

Quick Start

import { HeliconePromptManager } from "@helicone/prompts";
import OpenAI from "openai";

// Initialize the prompt manager
const manager = new HeliconePromptManager({
  apiKey: process.env.HELICONE_API_KEY!,
  baseUrl: "https://api.helicone.ai", // optional, defaults to this
});

// Load and compile a prompt
const { body, errors } = await manager.getPromptBody({
  prompt_id: "customer-support",
  inputs: {
    customer_name: "Alice",
    issue_type: "billing",
  },
});

if (errors.length > 0) {
  console.error("Variable substitution errors:", errors);
}

// Use with OpenAI
const openai = new OpenAI();
const response = await openai.chat.completions.create(body);

Core Methods

getPromptBody

Retrieves a prompt, substitutes variables, and returns the compiled body ready for your LLM provider.

const result = await manager.getPromptBody({
  prompt_id: "your-prompt-id",     // Required: Prompt identifier
  version_id?: "version-uuid",      // Optional: Specific version
  environment?: "production",       // Optional: Environment name
  inputs?: {                        // Optional: Variables to substitute
    name: "John",
    age: 30,
    context: "technical documentation",
  },
});

// result.body - Compiled OpenAI-compatible request
// result.errors - Array of validation errors

pullPromptVersion

Fetches prompt version metadata without the full body.

const version = await manager.pullPromptVersion({
  prompt_id: "your-prompt-id",
  environment: "production",
});

console.log(`Version: v${version.major_version}.${version.minor_version}`);
console.log(`Model: ${version.model}`);
console.log(`Commit: ${version.commit_message}`);

pullPromptBody

Retrieves the raw prompt body without variable substitution.

const rawBody = await manager.pullPromptBody({
  prompt_id: "your-prompt-id",
  environment: "production",
});

// Contains template variables like {{hc:name:string}}

Working with Variables

Helicone prompts support typed variables using the {{hc:name:type}} syntax.

Variable Types

// Template example
const template = {
  messages: [
    {
      role: "system",
      content: "You are a {{hc:role:string}} assistant.",
    },
    {
      role: "user",
      content: "My age is {{hc:age:number}} and I want {{hc:premium:boolean}} features.",
    },
  ],
};

// Usage
const { body, errors } = await manager.getPromptBody({
  prompt_id: "my-prompt",
  inputs: {
    role: "helpful",              // string
    age: 25,                      // number
    premium: true,                // boolean
  },
});

Variable Validation

The SDK validates variable types and returns errors:

const { body, errors } = await manager.getPromptBody({
  prompt_id: "my-prompt",
  inputs: {
    age: "twenty-five", // Wrong type - should be number
  },
});

if (errors.length > 0) {
  errors.forEach((error) => {
    console.error(`Variable "${error.variable}" expected ${error.expected}, got:`, error.value);
  });
}

Extract Variables from Template

import { HeliconeTemplateManager } from "@helicone/prompts/templates";

const template = "Hello {{hc:name:string}}, you are {{hc:age:number}} years old.";
const variables = HeliconeTemplateManager.extractVariables(template);

variables.forEach((v) => {
  console.log(`${v.name}: ${v.type}`);
});
// Output:
// name: string
// age: number

Working with Prompt Partials

Prompt partials allow you to reuse content from other prompts.

Using Partials

// Main prompt references another prompt's content
const template = {
  messages: [
    {
      role: "system",
      content: "{{hcp:abc123:0:production}} You will help with {{hc:task:string}}.",
    },
  ],
};

// The SDK automatically fetches and substitutes the referenced prompt
const { body } = await manager.getPromptBody({
  prompt_id: "main-prompt",
  inputs: {
    task: "data analysis",
  },
});

Extract Prompt Partials

import { HeliconeTemplateManager } from "@helicone/prompts/templates";

const template = "Use these instructions: {{hcp:abc123:0:production}}";
const partials = HeliconeTemplateManager.extractPromptPartialVariables(template);

partials.forEach((p) => {
  console.log(`Prompt: ${p.prompt_id}, Index: ${p.index}, Env: ${p.environment}`);
});

Get Partial Substitution Value

const sourceBody = {
  messages: [
    { role: "system", content: "Base instructions" },
    { role: "user", content: "Example query" },
  ],
};

const partialVariable = {
  prompt_id: "abc123",
  index: 0,
  raw: "{{hcp:abc123:0}}",
};

const value = manager.getPromptPartialSubstitutionValue(
  partialVariable,
  sourceBody
);

console.log(value); // "Base instructions"

Environment-Based Loading

class PromptService {
  private manager: HeliconePromptManager;
  private environment: string;

  constructor() {
    this.manager = new HeliconePromptManager({
      apiKey: process.env.HELICONE_API_KEY!,
    });
    this.environment = process.env.NODE_ENV || "production";
  }

  async loadPrompt(promptId: string, inputs: Record<string, any>) {
    return await this.manager.getPromptBody({
      prompt_id: promptId,
      environment: this.environment,
      inputs,
    });
  }
}

const promptService = new PromptService();
const { body } = await promptService.loadPrompt("my-prompt", { name: "Alice" });

Version-Specific Loading

// Load specific version by ID
const { body } = await manager.getPromptBody({
  prompt_id: "my-prompt",
  version_id: "550e8400-e29b-41d4-a716-446655440000",
  inputs: { name: "Bob" },
});

// Or by version ID directly
const rawBody = await manager.pullPromptBodyByVersionId(
  "550e8400-e29b-41d4-a716-446655440000"
);

Merging with Additional Parameters

Combine template prompts with runtime parameters:

const rawPromptBody = await manager.pullPromptBody({
  prompt_id: "my-prompt",
});

const { body, errors } = await manager.mergePromptBody(
  {
    prompt_id: "my-prompt",
    inputs: { name: "Charlie" },
    // Additional OpenAI parameters
    temperature: 0.9,
    max_tokens: 500,
    messages: [
      { role: "user", content: "Additional user message" },
    ],
  },
  rawPromptBody
);

// body now contains:
// - Original prompt messages with variables substituted
// - Additional messages appended
// - Runtime parameters override template defaults

Advanced: Custom Variable Substitution

import { HeliconeTemplateManager } from "@helicone/prompts/templates";

const template = "Hello {{hc:name:string}}, you are {{hc:age:number}} years old.";

const result = HeliconeTemplateManager.substituteVariables(
  template,
  { name: "Alice", age: 30 },
  {} // prompt partial inputs
);

if (result.success) {
  console.log(result.result); // "Hello Alice, you are 30 years old."
} else {
  console.error("Errors:", result.errors);
}

Advanced: JSON Variable Substitution

For complex objects like tools or response formats:

import { HeliconeTemplateManager } from "@helicone/prompts/templates";

const toolDefinition = {
  type: "function",
  function: {
    name: "{{hc:function_name:string}}",
    description: "Process {{hc:data_type:string}} data",
    parameters: {
      type: "object",
      properties: {
        limit: {
          type: "number",
          default: "{{hc:default_limit:number}}",
        },
      },
    },
  },
};

const result = HeliconeTemplateManager.substituteVariablesJSON(
  toolDefinition,
  {
    function_name: "analyze_data",
    data_type: "customer",
    default_limit: 100,
  }
);

if (result.success) {
  console.log(result.result);
  // {
  //   type: "function",
  //   function: {
  //     name: "analyze_data",
  //     description: "Process customer data",
  //     parameters: {
  //       type: "object",
  //       properties: { limit: { type: "number", default: 100 } }
  //     }
  //   }
  // }
}

Error Handling

try {
  const { body, errors } = await manager.getPromptBody({
    prompt_id: "my-prompt",
    inputs: { name: "David" },
  });

  if (errors.length > 0) {
    // Handle variable validation errors
    console.warn("Variable errors:", errors);
    // You can still use the body, but some variables may not be substituted
  }

  const response = await openai.chat.completions.create(body);
} catch (error) {
  if (error instanceof Error) {
    if (error.message.includes("Failed to get prompt")) {
      console.error("Prompt not found or network error");
    } else if (error.message.includes("No prompt ID provided")) {
      console.error("Missing prompt_id parameter");
    } else {
      console.error("Unexpected error:", error);
    }
  }
}

Type Definitions

import type {
  HeliconePromptParams,
  HeliconeChatCreateParams,
  Prompt2025Version,
  ValidationError,
} from "@helicone/prompts/types";

// Prompt parameters
const params: HeliconePromptParams = {
  prompt_id: "my-prompt",
  version_id?: "uuid",
  environment?: "production",
  inputs?: Record<string, any>,
};

// Version metadata
const version: Prompt2025Version = {
  id: "uuid",
  model: "gpt-4",
  prompt_id: "my-prompt",
  major_version: 1,
  minor_version: 0,
  commit_message: "Initial version",
  environments: ["production"],
  created_at: "2024-01-01T00:00:00Z",
  s3_url: "https://...",
};

// Validation error
const error: ValidationError = {
  variable: "age",
  expected: "number",
  value: "twenty",
};

Complete Integration Example

import { HeliconePromptManager } from "@helicone/prompts";
import OpenAI from "openai";

class ChatService {
  private promptManager: HeliconePromptManager;
  private openai: OpenAI;

  constructor() {
    this.promptManager = new HeliconePromptManager({
      apiKey: process.env.HELICONE_API_KEY!,
    });
    this.openai = new OpenAI({
      apiKey: process.env.OPENAI_API_KEY!,
    });
  }

  async chat(promptId: string, userInputs: Record<string, any>) {
    try {
      // Load prompt with user inputs
      const { body, errors } = await this.promptManager.getPromptBody({
        prompt_id: promptId,
        environment: process.env.NODE_ENV,
        inputs: userInputs,
      });

      // Log any variable validation errors
      if (errors.length > 0) {
        console.warn("Variable validation errors:", errors);
      }

      // Call OpenAI with compiled prompt
      const response = await this.openai.chat.completions.create(body);

      return {
        success: true,
        content: response.choices[0]?.message?.content,
        model: response.model,
        usage: response.usage,
      };
    } catch (error) {
      console.error("Chat error:", error);
      return {
        success: false,
        error: error instanceof Error ? error.message : "Unknown error",
      };
    }
  }
}

// Usage
const chatService = new ChatService();
const result = await chatService.chat("customer-support", {
  customer_name: "Alice",
  issue_type: "billing",
  account_tier: "premium",
});

if (result.success) {
  console.log("Response:", result.content);
} else {
  console.error("Error:", result.error);
}

Next Steps

Overview

Learn about prompt management concepts

Versioning

Manage prompt versions

Deployment

Deploy prompts to environments

API Reference

Explore the Prompts API

Getting Started

AI Gateway

Observability

Prompt Management

Features

Integrations

Self-Hosting

Installation

Quick Start

Core Methods

getPromptBody

pullPromptVersion

pullPromptBody

Working with Variables

Variable Types

Variable Validation

Extract Variables from Template

Working with Prompt Partials

Using Partials

Extract Prompt Partials

Get Partial Substitution Value

Environment-Based Loading

Version-Specific Loading

Merging with Additional Parameters

Advanced: Custom Variable Substitution

Advanced: JSON Variable Substitution

Error Handling

Type Definitions

Complete Integration Example

Next Steps

Overview

Versioning

Deployment

API Reference

​Installation

​Quick Start

​Core Methods

​getPromptBody

​pullPromptVersion

​pullPromptBody

​Working with Variables

​Variable Types

​Variable Validation

​Extract Variables from Template

​Working with Prompt Partials

​Using Partials

​Extract Prompt Partials

​Get Partial Substitution Value

​Environment-Based Loading

​Version-Specific Loading

​Merging with Additional Parameters

​Advanced: Custom Variable Substitution

​Advanced: JSON Variable Substitution

​Error Handling

​Type Definitions

​Complete Integration Example

​Next Steps

Overview

Versioning

Deployment

API Reference

Installation

Quick Start

Core Methods

getPromptBody

pullPromptVersion

pullPromptBody

Working with Variables

Variable Types

Variable Validation

Extract Variables from Template

Working with Prompt Partials

Using Partials

Extract Prompt Partials

Get Partial Substitution Value

Environment-Based Loading

Version-Specific Loading

Merging with Additional Parameters

Advanced: Custom Variable Substitution

Advanced: JSON Variable Substitution

Error Handling

Type Definitions

Complete Integration Example

Next Steps