Add Ruby example (#6)

Author: dlackty

README.md

@@ -10,6 +10,7 @@ The proxy server supports specifying cache TTL on a per-request basis, so you co
 
 - [openai/openai-node](https://github.com/openai/openai-node): full compatibility, takes just a few lines of config to use
 - [openai/openai-python](https://github.com/openai/openai-python): partial compatibility, supports caching but no TTL options so you'll need a cache eviction policy
+- [alexrudall/ruby-openai](https://github.com/alexrudall/ruby-openai): partial compatibility, supports caching but no TTL options so you'll need a cache eviction policy
 
 It only caches `POST` requests that have a JSON request body, as these tend to be the slowest and are the only ones that cost money (for now).
 
@@ -92,4 +93,4 @@ const configuration = new Configuration({
 
 See `/examples/` directory for a full example of how to call this proxy with your openai client.
 
-This includes both Node.js and Python client usage examples.
+This includes both Node.js, Python and Ruby client usage examples.

examples/ruby/.env.sample

@@ -0,0 +1,2 @@
+# Create a file called ".env" and add this env var:
+OPENAI_API_KEY=...insertme...

examples/ruby/Gemfile

@@ -0,0 +1,9 @@
+# frozen_string_literal: true
+
+source "https://rubygems.org"
+
+# gem "rails"
+
+gem "ruby-openai", "~> 3.7"
+
+gem "dotenv", "~> 2.8"

examples/ruby/Gemfile.lock

@@ -0,0 +1,21 @@
+GEM
+  remote: https://rubygems.org/
+  specs:
+    dotenv (2.8.1)
+    httparty (0.21.0)
+      mini_mime (>= 1.0.0)
+      multi_xml (>= 0.5.2)
+    mini_mime (1.1.2)
+    multi_xml (0.6.0)
+    ruby-openai (3.7.0)
+      httparty (>= 0.18.1)
+
+PLATFORMS
+  arm64-darwin-22
+
+DEPENDENCIES
+  dotenv (~> 2.8)
+  ruby-openai (~> 3.7)
+
+BUNDLED WITH
+   2.4.8

examples/ruby/example.rb

@@ -0,0 +1,18 @@
+require 'dotenv/load'
+require 'openai'
+
+# As api verision is hard-coded in proxy, we need to set it here to empty string
+OpenAI.configuration.api_version = ""
+# Set this to your local instance or Cloudflare deployment:
+OpenAI.configuration.uri_base = "http://localhost:8787/proxy"
+OpenAI.configuration.access_token = ENV.fetch('OPENAI_API_KEY')
+
+client = OpenAI::Client.new
+
+response = client.completions(
+  parameters: {
+      model: "text-davinci-001",
+      prompt: "Once upon a time",
+      max_tokens: 5
+  })
+puts response["choices"].map { |c| c["text"] }