Ruby Provider

The Ruby provider enables you to create custom evaluation logic using Ruby scripts. This allows you to integrate Promptfoo with any Ruby-based model, API, or custom logic.

Common use cases:

• Integrating proprietary or local models
• Adding custom preprocessing/postprocessing logic
• Implementing complex evaluation workflows
• Using Ruby-specific ML libraries
• Creating mock providers for testing

Prerequisites

Before using the Ruby provider, ensure you have:

• Ruby 2.7 or higher installed
• Basic familiarity with Promptfoo configuration
• Understanding of Ruby hashes and JSON

Quick Start

Let's create a simple Ruby provider that echoes back the input with a prefix.

Step 1: Create your Ruby script

# echo_provider.rb
def call_api(prompt, options, context)
  # Simple provider that echoes the prompt with a prefix
  config = options['config'] || {}
  prefix = config['prefix'] || 'Tell me about: '

  {
    'output' => "#{prefix}#{prompt}"
  }
end

Step 2: Configure Promptfoo

# promptfooconfig.yaml
providers:
  - id: 'file://echo_provider.rb'

prompts:
  - 'Tell me a joke'
  - 'What is 2+2?'

Step 3: Run the evaluation

npx promptfoo@latest eval

That's it! You've created your first custom Ruby provider.

How It Works

When Promptfoo evaluates a test case with a Ruby provider:

1. Promptfoo prepares the prompt based on your configuration
2. Ruby Script is called with three parameters:
   • prompt: The final prompt string
   • options: Provider configuration from your YAML
   • context: Variables and metadata for the current test
3. Your Code processes the prompt and returns a response
4. Promptfoo validates the response and continues evaluation

┌─────────────┐     ┌──────────────┐     ┌─────────────┐
│ Promptfoo   │────▶│ Your Ruby    │────▶│ Your Logic  │
│ Evaluation  │     │ Provider     │     │ (API/Model) │
└─────────────┘     └──────────────┘     └─────────────┘
      ▲                    │
      │                    ▼
      │            ┌──────────────┐
      └────────────│   Response   │
                   └──────────────┘

Basic Usage

Function Interface

Your Ruby script must implement one or more of these functions:

def call_api(prompt, options, context)
  # Main function for text generation tasks
end

def call_embedding_api(prompt, options, context)
  # For embedding generation tasks
end

def call_classification_api(prompt, options, context)
  # For classification tasks
end

Understanding Parameters

The prompt Parameter

The prompt can be either:

• A simple string: "What is the capital of France?"
• A JSON-encoded conversation: '[{"role": "user", "content": "Hello"}]'

require 'json'

def call_api(prompt, options, context)
  # Check if prompt is a conversation
  begin
    messages = JSON.parse(prompt)
    # Handle as chat messages
    messages.each do |msg|
      puts "#{msg['role']}: #{msg['content']}"
    end
  rescue JSON::ParserError
    # Handle as simple string
    puts "Prompt: #{prompt}"
  end
end

The options Parameter

Contains your provider configuration and metadata:

{
  'id' => 'file://my_provider.rb',
  'config' => {
    # Your custom configuration from promptfooconfig.yaml
    'model_name' => 'gpt-3.5-turbo',
    'temperature' => 0.7,
    'max_tokens' => 100,

    # Automatically added by promptfoo:
    'basePath' => '/absolute/path/to/config'  # Directory containing your config (promptfooconfig.yaml)
  }
}

The context Parameter

Provides information about the current test case:

{
  'vars' => {
    'user_input' => 'Hello world',
    'system_prompt' => 'You are a helpful assistant'
  },
  'prompt' => {
    'raw' => '...',
    'label' => '...',
  },
  'test' => {
    'vars' => { ... },
    'metadata' => {
      'pluginId' => '...',   # Redteam plugin (e.g. "promptfoo:redteam:harmful:hate")
      'strategyId' => '...',  # Redteam strategy (e.g. "jailbreak", "prompt-injection")
    },
  },
}

For redteam evals, use context['test']['metadata']['pluginId'] and context['test']['metadata']['strategyId'] to identify which plugin and strategy generated the test case.

note

Non-serializable fields (logger, getCache, filters, originalProvider) are removed before passing context to Ruby. Additional fields like evaluationId, testCaseId, testIdx, promptIdx, and repeatIndex are also available.

Return Format

Your function must return a hash with these fields:

def call_api(prompt, options, context)
  # Required field
  result = {
    'output' => 'Your response here'
  }

  # Optional fields
  result['tokenUsage'] = {
    'total' => 150,
    'prompt' => 50,
    'completion' => 100
  }

  result['cost'] = 0.0025  # in dollars
  result['cached'] = false
  result['logProbs'] = [-0.5, -0.3, -0.1]

  # Error handling
  if something_went_wrong
    result['error'] = 'Description of what went wrong'
  end

  result
end

Types

The types passed into the Ruby script function and the ProviderResponse return type are defined as follows:

# ProviderOptions
{
  'id' => String (optional),
  'config' => Hash (optional)
}

# CallApiContextParams
{
  'vars' => Hash[String, String],
  'prompt' => Hash (optional),       # Prompt template (raw, label, config)
  'test' => Hash (optional),         # Full test case including metadata
}

# TokenUsage
{
  'total' => Integer,
  'prompt' => Integer,
  'completion' => Integer
}

# ProviderResponse
{
  'output' => String or Hash (optional),
  'error' => String (optional),
  'tokenUsage' => TokenUsage (optional),
  'cost' => Float (optional),
  'cached' => Boolean (optional),
  'logProbs' => Array[Float] (optional),
  'metadata' => Hash (optional)
}

# ProviderEmbeddingResponse
{
  'embedding' => Array[Float],
  'tokenUsage' => TokenUsage (optional),
  'cached' => Boolean (optional)
}

# ProviderClassificationResponse
{
  'classification' => Hash,
  'tokenUsage' => TokenUsage (optional),
  'cached' => Boolean (optional)
}

tip

Always include the output field in your response, even if it's an empty string when an error occurs.

Complete Examples

Example 1: OpenAI-Compatible Provider

# openai_provider.rb
require 'json'
require 'net/http'
require 'uri'

def call_api(prompt, options, context)
  # Provider that calls OpenAI API
  config = options['config'] || {}

  # Parse messages if needed
  begin
    messages = JSON.parse(prompt)
  rescue JSON::ParserError
    messages = [{ 'role' => 'user', 'content' => prompt }]
  end

  # Prepare API request
  uri = URI.parse(config['base_url'] || 'https://api.openai.com/v1/chat/completions')
  http = Net::HTTP.new(uri.host, uri.port)
  http.use_ssl = true

  request = Net::HTTP::Post.new(uri.path)
  request['Content-Type'] = 'application/json'
  request['Authorization'] = "Bearer #{ENV['OPENAI_API_KEY']}"

  request.body = JSON.generate({
    model: config['model'] || 'gpt-3.5-turbo',
    messages: messages,
    temperature: config['temperature'] || 0.7,
    max_tokens: config['max_tokens'] || 150
  })

  # Make API call
  begin
    response = http.request(request)
    data = JSON.parse(response.body)

    {
      'output' => data['choices'][0]['message']['content'],
      'tokenUsage' => {
        'total' => data['usage']['total_tokens'],
        'prompt' => data['usage']['prompt_tokens'],
        'completion' => data['usage']['completion_tokens']
      }
    }
  rescue StandardError => e
    {
      'output' => '',
      'error' => e.message
    }
  end
end

Example 2: Mock Provider for Testing

# mock_provider.rb
def call_api(prompt, options, context)
  # Mock provider for testing evaluation pipelines
  config = options['config'] || {}

  # Simulate processing time
  delay = config['delay'] || 0.1
  sleep(delay)

  # Simulate different response types
  if prompt.downcase.include?('error')
    return {
      'output' => '',
      'error' => 'Simulated error for testing'
    }
  end

  # Generate mock response
  responses = config['responses'] || [
    'This is a mock response.',
    'Mock provider is working correctly.',
    'Test response generated successfully.'
  ]

  response = responses.sample
  mock_tokens = prompt.split.size + response.split.size

  {
    'output' => response,
    'tokenUsage' => {
      'total' => mock_tokens,
      'prompt' => prompt.split.size,
      'completion' => response.split.size
    },
    'cost' => mock_tokens * 0.00001
  }
end

Example 3: Local Processing with Preprocessing

# text_processor.rb
def preprocess_prompt(prompt, context)
  # Add context-specific preprocessing
  template = context['vars']['template'] || '{prompt}'
  template.gsub('{prompt}', prompt)
end

def call_api(prompt, options, context)
  # Provider with custom preprocessing
  config = options['config'] || {}

  # Preprocess
  processed_prompt = preprocess_prompt(prompt, context)

  # Simulate processing
  result = "Processed: #{processed_prompt.upcase}"

  {
    'output' => result,
    'cached' => false
  }
end

Configuration

Basic Configuration

providers:
  - id: 'file://my_provider.rb'
    label: 'My Custom Provider' # Optional display name
    config:
      # Any configuration your provider needs
      api_key: '{{ env.CUSTOM_API_KEY }}'
      endpoint: https://api.example.com
      model_params:
        temperature: 0.7
        max_tokens: 100

Using External Configuration Files

You can load configuration from external files:

providers:
  - id: 'file://my_provider.rb'
    config:
      # Load entire config from JSON
      settings: file://config/model_settings.json

      # Load from YAML with specific function
      prompts: file://config/prompts.yaml

      # Nested file references
      models:
        primary: file://config/primary_model.json
        fallback: file://config/fallback_model.yaml

Supported formats:

• JSON (.json) - Parsed as objects/arrays
• YAML (.yaml, .yml) - Parsed as objects/arrays
• Text (.txt, .md) - Loaded as strings

Environment Configuration

Custom Ruby Executable

You can specify a custom Ruby executable in several ways:

Option 1: Per-provider configuration

providers:
  - id: 'file://my_provider.rb'
    config:
      rubyExecutable: /path/to/ruby

Option 2: Global environment variable

# Use specific Ruby version globally
export PROMPTFOO_RUBY=/usr/local/bin/ruby
npx promptfoo@latest eval

Ruby Detection Process

Promptfoo automatically detects your Ruby installation in this priority order:

1. Environment variable: PROMPTFOO_RUBY (if set)
2. Provider config: rubyExecutable in your config
3. Windows detection: Uses where ruby (Windows only)
4. Smart detection: Uses ruby -e "puts RbConfig.ruby" to find the actual Ruby path
5. Fallback commands:
   • Windows: ruby
   • macOS/Linux: ruby

Advanced Features

Custom Function Names

Override the default function name:

providers:
  - id: 'file://my_provider.rb:generate_response'
    config:
      model: 'custom-model'

# my_provider.rb
def generate_response(prompt, options, context)
  # Your custom function
  { 'output' => 'Custom response' }
end

Handling Different Input Types

require 'json'

def call_api(prompt, options, context)
  # Handle various prompt formats

  # Text prompt
  if prompt.is_a?(String)
    begin
      # Try parsing as JSON
      data = JSON.parse(prompt)
      if data.is_a?(Array)
        # Chat format
        return handle_chat(data, options)
      elsif data.is_a?(Hash)
        # Structured prompt
        return handle_structured(data, options)
      end
    rescue JSON::ParserError
      # Plain text
      return handle_text(prompt, options)
    end
  end
end

Implementing Guardrails

def call_api(prompt, options, context)
  # Provider with safety guardrails
  config = options['config'] || {}

  # Check for prohibited content
  prohibited_terms = config['prohibited_terms'] || []
  prohibited_terms.each do |term|
    if prompt.downcase.include?(term.downcase)
      return {
        'output' => 'I cannot process this request.',
        'guardrails' => {
          'flagged' => true,
          'reason' => 'Prohibited content detected'
        }
      }
    end
  end

  # Process normally
  result = generate_response(prompt)

  # Post-process checks
  if check_output_safety(result)
    { 'output' => result }
  else
    {
      'output' => '[Content filtered]',
      'guardrails' => { 'flagged' => true }
    }
  end
end

Troubleshooting

Common Issues and Solutions

Issue	Solution
"Ruby not found" errors	Set PROMPTFOO_RUBY env var or use rubyExecutable in config
"cannot load such file" errors	Ensure required gems are installed with gem install or use bundler
Script not executing	Check file path is relative to promptfooconfig.yaml
No output visible	Use LOG_LEVEL=debug to see print statements
JSON parsing errors	Ensure prompt format matches your parsing logic
Timeout errors	Optimize initialization code, load resources once

Debugging Tips

1. Enable debug logging:

   LOG_LEVEL=debug npx promptfoo@latest eval

2. Add logging to your provider:

   def call_api(prompt, options, context)
     $stderr.puts "Received prompt: #{prompt}"
     $stderr.puts "Config: #{options['config'].inspect}"
     # Your logic here
   end

3. Test your provider standalone:

   # test_provider.rb
   require_relative 'my_provider'
   
   result = call_api(
     'Test prompt',
     { 'config' => { 'model' => 'test' } },
     { 'vars' => {} }
   )
   puts result.inspect

Migration Guide

From HTTP Provider

If you're currently using an HTTP provider, you can wrap your API calls:

# http_wrapper.rb
require 'net/http'
require 'json'
require 'uri'

def call_api(prompt, options, context)
  config = options['config'] || {}
  uri = URI.parse(config['url'])

  http = Net::HTTP.new(uri.host, uri.port)
  http.use_ssl = (uri.scheme == 'https')

  request = Net::HTTP::Post.new(uri.path)
  request['Content-Type'] = 'application/json'
  config['headers']&.each { |k, v| request[k] = v }
  request.body = JSON.generate({ 'prompt' => prompt })

  response = http.request(request)
  JSON.parse(response.body)
end

From Python Provider

The Ruby provider follows the same interface as Python providers:

# Python
def call_api(prompt, options, context):
    return {"output": f"Echo: {prompt}"}

# Ruby equivalent
def call_api(prompt, options, context)
  { 'output' => "Echo: #{prompt}" }
end

See Also

• Custom assertions - Define expected outputs and validation rules
• Python Provider - Similar scripting provider for Python
• Custom Script Provider - JavaScript/TypeScript provider alternative