Class: LLM::OpenAI::Responses

Inherits:

Object

• Object
• LLM::OpenAI::Responses

Includes:

Format

Defined in:

lib/llm/providers/openai/responses.rb

Overview

The LLM::OpenAI::Responses class provides a responses object for interacting with [OpenAI’s response API](platform.openai.com/docs/guides/conversation-state?api-mode=responses).

Examples:

llm = LLM.openai(ENV["KEY"])
res1 = llm.responses.create "Your task is to help me with math", :developer
res2 = llm.responses.create "5 + 5  = ?", :user, previous_response_id: res1.id
[res1,res2].each { llm.responses.delete(_1) }

Instance Method Summary

• #create(prompt, role = :user, model: "gpt-4o-mini", **params) ⇒ LLM::Response::Output

  Create a response.

• #delete(response) ⇒ OpenStruct

  Deletes a response.

• #get(response, **params) ⇒ LLM::Response::Output

  Get a response.

• #initialize(provider) ⇒ LLM::OpenAI::Responses constructor

  Returns a new Responses object.

Methods included from Format

#format

Constructor Details

#initialize(provider) ⇒ LLM::OpenAI::Responses

Returns a new Responses object

Parameters:

• provider (LLM::Provider)

# File 'lib/llm/providers/openai/responses.rb', line 19

def initialize(provider)
  @provider = provider
end

Instance Method Details

#create(prompt, role = :user, model: "gpt-4o-mini", **params) ⇒ LLM::Response::Output

Create a response

Parameters:

• params (Hash) —

  Response params

• prompt (String) —

  The input prompt to be completed

• role (Symbol) (defaults to: :user) —

  The role of the prompt (e.g. :user, :system)

• model (String) (defaults to: "gpt-4o-mini") —

  The model to use for the completion

Returns:

• (LLM::Response::Output)

Raises:

• (LLM::Error::Unauthorized) —

  When authentication fails

• (LLM::Error::RateLimit) —

  When the rate limit is exceeded

• (LLM::Error::BadResponse) —

  When any other unsuccessful status code is returned

• (SystemCallError) —

  When there is a network error at the operating system level

See Also:

• OpenAI docs

# File 'lib/llm/providers/openai/responses.rb', line 32

def create(prompt, role = :user, model: "gpt-4o-mini", **params)
  params   = {model:}.merge!(params)
  req      = Net::HTTP::Post.new("/v1/responses", headers)
  messages = [*(params.delete(:input) || []), LLM::Message.new(role, prompt)]
  req.body = JSON.dump({input: format(messages, :response)}.merge!(params))
  res      = request(http, req)
  LLM::Response::Output.new(res).extend(response_parser)
end

#delete(response) ⇒ OpenStruct

Deletes a response

Parameters:

• response (#id, #to_s) —

  Response ID

Returns:

• (OpenStruct) —

  Response body

Raises:

• (LLM::Error::Unauthorized) —

  When authentication fails

• (LLM::Error::RateLimit) —

  When the rate limit is exceeded

• (LLM::Error::BadResponse) —

  When any other unsuccessful status code is returned

• (SystemCallError) —

  When there is a network error at the operating system level

See Also:

• OpenAI docs

# File 'lib/llm/providers/openai/responses.rb', line 61

def delete(response)
  response_id = response.respond_to?(:id) ? response.id : response
  req = Net::HTTP::Delete.new("/v1/responses/#{response_id}", headers)
  res = request(http, req)
  OpenStruct.from_hash JSON.parse(res.body)
end

#get(response, **params) ⇒ LLM::Response::Output

Get a response

Parameters:

• response (#id, #to_s) —

  Response ID

Returns:

• (LLM::Response::Output)

Raises:

• (LLM::Error::Unauthorized) —

  When authentication fails

• (LLM::Error::RateLimit) —

  When the rate limit is exceeded

• (LLM::Error::BadResponse) —

  When any other unsuccessful status code is returned

• (SystemCallError) —

  When there is a network error at the operating system level

See Also:

• OpenAI docs

# File 'lib/llm/providers/openai/responses.rb', line 47

def get(response, **params)
  response_id = response.respond_to?(:id) ? response.id : response
  query = URI.encode_www_form(params)
  req = Net::HTTP::Get.new("/v1/responses/#{response_id}?#{query}", headers)
  res = request(http, req)
  LLM::Response::Output.new(res).extend(response_parser)
end