client = ChatGPT::Client.new response = client.chat([ { role: "user", content: "Hello!" } ])

messages = [ { role: "system", content: "You are a helpful assistant." }, { role: "user", content: "What is Ruby?" }, { role: "assistant", content: "Ruby is a programming language..." }, { role: "user", content: "Tell me more!" } ]

client.chat(messages, { model: 'gpt-3.5-turbo', # Optional, defaults to configured value temperature: 0.7, # Optional (0.0 to 1.0) max_tokens: 100, # Optional top_p: 1.0, # Optional n: 1 # Optional, number of responses })

{ "choices" => [{ "message" => { "role" => "assistant", "content" => "Response content here" }, "finish_reason" => "stop", "index" => 0 }], "usage" => { "prompt_tokens" => 10, "completion_tokens" => 20, "total_tokens" => 30 } }

begin response = client.chat(messages) rescue ChatGPT::AuthenticationError => e # Handle authentication errors rescue ChatGPT::RateLimitError => e # Handle rate limit errors rescue ChatGPT::APIError => e # Handle other API errors end

# Keep conversation context messages = [] messages << { role: "user", content: "Hello!" } response = client.chat(messages) messages << response["choices"][0]["message"]

messages = [ { role: "system", content: "You are a helpful assistant. Be concise." } ]

def chat_with_retry(messages, max_attempts = 3) attempts = 0 begin attempts += 1 client.chat(messages) rescue ChatGPT::RateLimitError => e retry if attempts < max_attempts raise end end

response = client.chat([ { role: "user", content: "Hello!" } ]) puts response["choices"][0]["message"]["content"]

messages = [ { role: "system", content: "You are a helpful assistant." } ] # First interaction messages << { role: "user", content: "What is Ruby?" } response = client.chat(messages) messages << response["choices"][0]["message"] # Follow-up messages << { role: "user", content: "Tell me more!" } response = client.chat(messages)

response = client.chat( messages, { temperature: 0.7, max_tokens: 150 } )