package e2e_test import ( "context" "encoding/json" "fmt" "io" "net/http" "os" . "github.com/onsi/ginkgo/v2" . "github.com/onsi/gomega" "github.com/sashabaranov/go-openai" "github.com/sashabaranov/go-openai/jsonschema" ) var _ = Describe("E2E test", func() { Context("Generating", func() { BeforeEach(func() { // }) // Check that the GPU was used AfterEach(func() { // }) Context("text", func() { It("correctly", func() { model := "gpt-4" resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{ Model: model, Messages: []openai.ChatCompletionMessage{ { Role: "user", Content: "How much is 2+2?", }, }}) Expect(err).ToNot(HaveOccurred()) Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp)) Expect(resp.Choices[0].Message.Content).To(Or(ContainSubstring("4"), ContainSubstring("four")), fmt.Sprint(resp.Choices[0].Message.Content)) }) }) Context("function calls", func() { It("correctly invoke", func() { params := jsonschema.Definition{ Type: jsonschema.Object, Properties: map[string]jsonschema.Definition{ "location": { Type: jsonschema.String, Description: "The city and state, e.g. San Francisco, CA", }, "unit": { Type: jsonschema.String, Enum: []string{"celsius", "fahrenheit"}, }, }, Required: []string{"location"}, } f := openai.FunctionDefinition{ Name: "get_current_weather", Description: "Get the current weather in a given location", Parameters: params, } t := openai.Tool{ Type: openai.ToolTypeFunction, Function: &f, } dialogue := []openai.ChatCompletionMessage{ {Role: openai.ChatMessageRoleUser, Content: "What is the weather in Boston today?"}, } resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{ Model: openai.GPT4, Messages: dialogue, Tools: []openai.Tool{t}, }, ) Expect(err).ToNot(HaveOccurred()) Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp)) msg := resp.Choices[0].Message Expect(len(msg.ToolCalls)).To(Equal(1), fmt.Sprint(msg.ToolCalls)) Expect(msg.ToolCalls[0].Function.Name).To(Equal("get_current_weather"), fmt.Sprint(msg.ToolCalls[0].Function.Name)) Expect(msg.ToolCalls[0].Function.Arguments).To(ContainSubstring("Boston"), fmt.Sprint(msg.ToolCalls[0].Function.Arguments)) }) }) Context("json", func() { It("correctly", func() { model := "gpt-4" req := openai.ChatCompletionRequest{ ResponseFormat: &openai.ChatCompletionResponseFormat{Type: openai.ChatCompletionResponseFormatTypeJSONObject}, Model: model, Messages: []openai.ChatCompletionMessage{ { Role: "user", Content: "An animal with 'name', 'gender' and 'legs' fields", }, }, } resp, err := client.CreateChatCompletion(context.TODO(), req) Expect(err).ToNot(HaveOccurred()) Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp)) var i map[string]interface{} err = json.Unmarshal([]byte(resp.Choices[0].Message.Content), &i) Expect(err).ToNot(HaveOccurred()) Expect(i).To(HaveKey("name")) Expect(i).To(HaveKey("gender")) Expect(i).To(HaveKey("legs")) }) }) Context("images", func() { It("correctly", func() { resp, err := client.CreateImage(context.TODO(), openai.ImageRequest{ Prompt: "test", Size: openai.CreateImageSize512x512, //ResponseFormat: openai.CreateImageResponseFormatURL, }, ) Expect(err).ToNot(HaveOccurred()) Expect(len(resp.Data)).To(Equal(1), fmt.Sprint(resp)) Expect(resp.Data[0].URL).To(ContainSubstring("png"), fmt.Sprint(resp.Data[0].URL)) }) }) Context("embeddings", func() { It("correctly", func() { resp, err := client.CreateEmbeddings(context.TODO(), openai.EmbeddingRequestStrings{ Input: []string{"doc"}, Model: openai.AdaEmbeddingV2, }, ) Expect(err).ToNot(HaveOccurred()) Expect(len(resp.Data)).To(Equal(1), fmt.Sprint(resp)) Expect(resp.Data[0].Embedding).ToNot(BeEmpty()) }) }) Context("vision", func() { It("correctly", func() { model := "gpt-4-vision-preview" resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{ Model: model, Messages: []openai.ChatCompletionMessage{ { Role: "user", MultiContent: []openai.ChatMessagePart{ { Type: openai.ChatMessagePartTypeText, Text: "What is in the image?", }, { Type: openai.ChatMessagePartTypeImageURL, ImageURL: &openai.ChatMessageImageURL{ URL: "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", Detail: openai.ImageURLDetailLow, }, }, }, }, }}) Expect(err).ToNot(HaveOccurred()) Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp)) Expect(resp.Choices[0].Message.Content).To(Or(ContainSubstring("wooden"), ContainSubstring("grass")), fmt.Sprint(resp.Choices[0].Message.Content)) }) }) Context("text to audio", func() { It("correctly", func() { res, err := client.CreateSpeech(context.Background(), openai.CreateSpeechRequest{ Model: openai.TTSModel1, Input: "Hello!", Voice: openai.VoiceAlloy, }) Expect(err).ToNot(HaveOccurred()) defer res.Close() _, err = io.ReadAll(res) Expect(err).ToNot(HaveOccurred()) }) }) Context("audio to text", func() { It("correctly", func() { downloadURL := "https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav" file, err := downloadHttpFile(downloadURL) Expect(err).ToNot(HaveOccurred()) req := openai.AudioRequest{ Model: openai.Whisper1, FilePath: file, } resp, err := client.CreateTranscription(context.Background(), req) Expect(err).ToNot(HaveOccurred()) Expect(resp.Text).To(ContainSubstring("This is the"), fmt.Sprint(resp.Text)) }) }) }) }) func downloadHttpFile(url string) (string, error) { resp, err := http.Get(url) if err != nil { return "", err } defer resp.Body.Close() tmpfile, err := os.CreateTemp("", "example") if err != nil { return "", err } defer tmpfile.Close() _, err = io.Copy(tmpfile, resp.Body) if err != nil { return "", err } return tmpfile.Name(), nil }