discourse-ai/spec/shared/inference/openai_completions_spec.rb

309 lines
9.1 KiB
Ruby

# frozen_string_literal: true
require "rails_helper"
require_relative "../../support/openai_completions_inference_stubs"
describe DiscourseAi::Inference::OpenAiCompletions do
before { SiteSetting.ai_openai_api_key = "abc-123" }
it "supports sending an organization id" do
SiteSetting.ai_openai_organization = "org_123"
stub_request(:post, "https://api.openai.com/v1/chat/completions").with(
body:
"{\"model\":\"gpt-3.5-turbo-0613\",\"messages\":[{\"role\":\"system\",\"content\":\"hello\"}]}",
headers: {
"Authorization" => "Bearer abc-123",
"Content-Type" => "application/json",
"Host" => "api.openai.com",
"User-Agent" => "Ruby",
"OpenAI-Organization" => "org_123",
},
).to_return(
status: 200,
body: { choices: [message: { content: "world" }] }.to_json,
headers: {
},
)
result =
DiscourseAi::Inference::OpenAiCompletions.perform!(
[{ role: "system", content: "hello" }],
"gpt-3.5-turbo-0613",
)
expect(result.dig(:choices, 0, :message, :content)).to eq("world")
end
context "when configured using Azure" do
it "Supports custom Azure endpoints for completions" do
gpt_url_base =
"https://company.openai.azure.com/openai/deployments/deployment/chat/completions?api-version=2023-03-15-preview"
key = "12345"
SiteSetting.ai_openai_api_key = key
[
{ setting_name: "ai_openai_gpt35_url", model: "gpt-35-turbo" },
{ setting_name: "ai_openai_gpt35_16k_url", model: "gpt-35-16k-turbo" },
{ setting_name: "ai_openai_gpt4_url", model: "gpt-4" },
{ setting_name: "ai_openai_gpt4_32k_url", model: "gpt-4-32k" },
].each do |config|
gpt_url = "#{gpt_url_base}/#{config[:model]}"
setting_name = config[:setting_name]
model = config[:model]
SiteSetting.public_send("#{setting_name}=".to_sym, gpt_url)
expected = {
id: "chatcmpl-7TfPzOyBGW5K6dyWp3NPU0mYLGZRQ",
object: "chat.completion",
created: 1_687_305_079,
model: model,
choices: [
{
index: 0,
finish_reason: "stop",
message: {
role: "assistant",
content: "Hi there! How can I assist you today?",
},
},
],
usage: {
completion_tokens: 10,
prompt_tokens: 9,
total_tokens: 19,
},
}
stub_request(:post, gpt_url).with(
body: "{\"model\":\"#{model}\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}",
headers: {
"Api-Key" => "12345",
"Content-Type" => "application/json",
"Host" => "company.openai.azure.com",
},
).to_return(status: 200, body: expected.to_json, headers: {})
result =
DiscourseAi::Inference::OpenAiCompletions.perform!(
[role: "user", content: "hello"],
model,
)
expect(result).to eq(expected)
end
end
end
it "supports function calling" do
prompt = [role: "system", content: "you are weatherbot"]
prompt << { role: "user", content: "what is the weather in sydney?" }
functions = []
function =
DiscourseAi::Inference::Function.new(
name: "get_weather",
description: "Get the weather in a city",
)
function.add_parameter(
name: "location",
type: "string",
description: "the city name",
required: true,
)
function.add_parameter(
name: "unit",
type: "string",
description: "the unit of measurement celcius c or fahrenheit f",
enum: %w[c f],
required: true,
)
functions << function
function_calls = []
current_function_call = nil
deltas = [
{ role: "assistant" },
{ function_call: { name: "get_weather", arguments: "" } },
{ function_call: { arguments: "{ \"location\": " } },
{ function_call: { arguments: "\"sydney\", \"unit\": \"c\" }" } },
]
OpenAiCompletionsInferenceStubs.stub_streamed_response(
prompt,
deltas,
model: "gpt-3.5-turbo-0613",
req_opts: {
functions: functions,
stream: true,
},
)
DiscourseAi::Inference::OpenAiCompletions.perform!(
prompt,
"gpt-3.5-turbo-0613",
functions: functions,
) do |json, cancel|
fn = json.dig(:choices, 0, :delta, :function_call)
if fn && fn[:name]
current_function_call = { name: fn[:name], arguments: +fn[:arguments].to_s.dup }
function_calls << current_function_call
elsif fn && fn[:arguments] && current_function_call
current_function_call[:arguments] << fn[:arguments]
end
end
expect(function_calls.length).to eq(1)
expect(function_calls[0][:name]).to eq("get_weather")
expect(JSON.parse(function_calls[0][:arguments])).to eq(
{ "location" => "sydney", "unit" => "c" },
)
prompt << { role: "function", name: "get_weather", content: 22.to_json }
OpenAiCompletionsInferenceStubs.stub_response(
prompt,
"The current temperature in Sydney is 22 degrees Celsius.",
model: "gpt-3.5-turbo-0613",
req_opts: {
functions: functions,
},
)
result =
DiscourseAi::Inference::OpenAiCompletions.perform!(
prompt,
"gpt-3.5-turbo-0613",
functions: functions,
)
expect(result.dig(:choices, 0, :message, :content)).to eq(
"The current temperature in Sydney is 22 degrees Celsius.",
)
end
it "supports rate limits" do
stub_request(:post, "https://api.openai.com/v1/chat/completions").to_return(
[
{ status: 429, body: "", headers: {} },
{ status: 429, body: "", headers: {} },
{ status: 200, body: { choices: [message: { content: "ok" }] }.to_json, headers: {} },
],
)
completions =
DiscourseAi::Inference::OpenAiCompletions.perform!(
[{ role: "user", content: "hello" }],
"gpt-3.5-turbo",
temperature: 0.5,
top_p: 0.8,
max_tokens: 700,
retries: 3,
retry_timeout: 0,
)
expect(completions.dig(:choices, 0, :message, :content)).to eq("ok")
end
it "supports will raise once rate limit is met" do
stub_request(:post, "https://api.openai.com/v1/chat/completions").to_return(
[
{ status: 429, body: "", headers: {} },
{ status: 429, body: "", headers: {} },
{ status: 429, body: "", headers: {} },
],
)
expect do
DiscourseAi::Inference::OpenAiCompletions.perform!(
[{ role: "user", content: "hello" }],
"gpt-3.5-turbo",
temperature: 0.5,
top_p: 0.8,
max_tokens: 700,
retries: 3,
retry_timeout: 0,
)
end.to raise_error(DiscourseAi::Inference::OpenAiCompletions::CompletionFailed)
end
it "can complete a trivial prompt" do
response_text = "1. Serenity\\n2. Laughter\\n3. Adventure"
prompt = [role: "user", content: "write 3 words"]
user_id = 183
req_opts = { temperature: 0.5, top_p: 0.8, max_tokens: 700 }
OpenAiCompletionsInferenceStubs.stub_response(prompt, response_text, req_opts: req_opts)
completions =
DiscourseAi::Inference::OpenAiCompletions.perform!(
prompt,
"gpt-3.5-turbo",
temperature: 0.5,
top_p: 0.8,
max_tokens: 700,
user_id: user_id,
)
expect(completions.dig(:choices, 0, :message, :content)).to eq(response_text)
expect(AiApiAuditLog.count).to eq(1)
log = AiApiAuditLog.first
body = { model: "gpt-3.5-turbo", messages: prompt }.merge(req_opts).to_json
request_body = OpenAiCompletionsInferenceStubs.response(response_text).to_json
expect(log.provider_id).to eq(AiApiAuditLog::Provider::OpenAI)
expect(log.request_tokens).to eq(337)
expect(log.response_tokens).to eq(162)
expect(log.raw_request_payload).to eq(body)
expect(log.raw_response_payload).to eq(request_body)
end
it "can operate in streaming mode" do
deltas = [
{ role: "assistant" },
{ content: "Mount" },
{ content: "ain" },
{ content: " " },
{ content: "Tree " },
{ content: "Frog" },
]
prompt = [role: "user", content: "write 3 words"]
content = +""
OpenAiCompletionsInferenceStubs.stub_streamed_response(
prompt,
deltas,
req_opts: {
stream: true,
},
)
DiscourseAi::Inference::OpenAiCompletions.perform!(prompt, "gpt-3.5-turbo") do |partial, cancel|
data = partial.dig(:choices, 0, :delta, :content)
content << data if data
cancel.call if content.split(" ").length == 2
end
expect(content).to eq("Mountain Tree ")
expect(AiApiAuditLog.count).to eq(1)
log = AiApiAuditLog.first
request_body = { model: "gpt-3.5-turbo", messages: prompt, stream: true }.to_json
expect(log.provider_id).to eq(AiApiAuditLog::Provider::OpenAI)
expect(log.request_tokens).to eq(4)
expect(log.response_tokens).to eq(3)
expect(log.raw_request_payload).to eq(request_body)
expect(log.raw_response_payload).to be_present
end
end