Added support for audio and chat endpoints

.gitignore

@@ -23,12 +23,14 @@ examples/**/.env
 .vscode/
 
 # Example binaries
+dist/
+examples/audio/audio
+examples/chat/chat
 examples/completions/completions
 examples/edits/edits
 examples/embeddings/embeddings
 examples/files/files
 examples/finetunes/finetunes
 examples/images/images
 examples/models/models
-examples/moderations/moderations
-dist/
+examples/moderations/moderations

README.md

@@ -9,6 +9,8 @@ Go (Golang) bindings for the [OpenAI API](https://beta.openai.com/docs/api-refer
 
 The links below lead to examples of how to use each library package.
 
+- [x] [Audio](./audio/README.md)
+- [x] [Chat](./chat/README.md)
 - [x] [Completions](./completions/README.md)
 - [x] [Edits](./edits/README.md)
 - [x] [Embeddings](./embeddings/README.md)

audio/README.md

@@ -0,0 +1,7 @@
+# Audio
+
+Bindings for the [audio](https://platform.openai.com/docs/api-reference/audio) [endpoint](https://api.openai.com/v1/audio/transcriptions).
+
+## Example
+
+See [audio-example.go](../examples/audio/audio-example.go).

audio/audio.go

@@ -0,0 +1,154 @@
+// Package audio provides bindings for the [audio] [endpoint].
+// Converts audio into text.
+//
+// [endpoint]: https://api.openai.com/v1/audio/transcriptions
+//
+// [chat]: https://platform.openai.com/docs/api-reference/audio
+package audio
+
+import (
+	"bytes"
+	"errors"
+	"mime/multipart"
+	"net/http"
+	"path/filepath"
+
+	"github.com/TannerKvarfordt/gopenai/common"
+)
+
+const (
+	BaseEndpoint         = common.BaseURL + "audio/"
+	TransciptionEndpoint = BaseEndpoint + "transcriptions"
+	TranslationEndpoint  = BaseEndpoint + "translations"
+)
+
+type ResponseFormat = string
+
+const (
+	// TODO: Support non-json return formats.
+	JSONResponseFormat = "json"
+	//TextResponseFormat        = "text"
+	//SRTResponseFormat         = "srt"
+	//VerboseJSONResponseFormat = "verbose_json"
+	//VTTResponseFormat         = "vtt"
+)
+
+// Request structure for the transcription endpoint.
+type TranscriptionRequest struct {
+	// The audio file to transcribe, in one of these formats:
+	// mp3, mp4, mpeg, mpga, m4a, wav, or webm.
+	// This can be a file path or a URL.
+	File string `json:"file"`
+
+	// ID of the model to use. You can use the List models API
+	// to see all of your available models, or see our Model
+	// overview for descriptions of them.
+	Model string `json:"model"`
+
+	// An optional text to guide the model's style or continue a
+	// previous audio segment. The prompt should match the audio language.
+	Prompt string `json:"prompt,omitempty"`
+
+	// The format of the transcript output, in one of these options:
+	// json, text, srt, verbose_json, or vtt.
+	ResponseFormat ResponseFormat `json:"response_format,omitempty"`
+
+	// The sampling temperature, between 0 and 1. Higher values like 0.8 will
+	// make the output more random, while lower values like 0.2 will make it
+	// more focused and deterministic. If set to 0, the model will use log
+	// probability to automatically increase the temperature until certain
+	// thresholds are hit.
+	Temperature *float64 `json:"temperature,omitempty"`
+
+	// The language of the input audio. Supplying the input language in
+	// ISO-639-1 format will improve accuracy and latency.
+	Language string `json:"language,omitempty"`
+}
+
+// Request structure for the Translations endpoint.
+type TranslationRequest struct {
+	// The audio file to transcribe, in one of these formats:
+	// mp3, mp4, mpeg, mpga, m4a, wav, or webm.
+	// This can be a file path or a URL.
+	File string `json:"file"`
+
+	// ID of the model to use. You can use the List models API
+	// to see all of your available models, or see our Model
+	// overview for descriptions of them.
+	Model string `json:"model"`
+
+	// An optional text to guide the model's style or continue a
+	// previous audio segment. The prompt should be in English.
+	Prompt string `json:"prompt,omitempty"`
+
+	// The format of the transcript output, in one of these options:
+	// json, text, srt, verbose_json, or vtt.
+	ResponseFormat ResponseFormat `json:"response_format,omitempty"`
+
+	// The sampling temperature, between 0 and 1. Higher values like 0.8 will
+	// make the output more random, while lower values like 0.2 will make it
+	// more focused and deterministic. If set to 0, the model will use log
+	// probability to automatically increase the temperature until certain
+	// thresholds are hit.
+	Temperature *float64 `json:"temperature,omitempty"`
+}
+
+// Response structure for both Transcription and
+// Translation requests.
+type Response struct {
+	Text  string                `json:"text"`
+	Usage common.ResponseUsage  `json:"usage"`
+	Error *common.ResponseError `json:"error,omitempty"`
+}
+
+func MakeTranscriptionRequest(request *TranscriptionRequest, organizationID *string) (*Response, error) {
+	buf := new(bytes.Buffer)
+	writer := multipart.NewWriter(buf)
+	err := common.CreateFormField("model", request.Model, writer)
+	if err != nil {
+		return nil, err
+	}
+
+	err = common.CreateFormFile("file", filepath.Base(request.File), request.File, writer)
+	if err != nil {
+		return nil, err
+	}
+	writer.Close()
+	r, err := common.MakeRequestWithForm[Response](buf, TransciptionEndpoint, http.MethodPost, writer.FormDataContentType(), organizationID)
+	if err != nil {
+		return nil, err
+	}
+	if r == nil {
+		return nil, errors.New("nil response received")
+	}
+	if r.Error != nil {
+		return r, r.Error
+	}
+	return r, nil
+}
+
+func MakeTranslationRequest(request *TranslationRequest, organizationID *string) (*Response, error) {
+	buf := new(bytes.Buffer)
+	writer := multipart.NewWriter(buf)
+	err := common.CreateFormField("model", request.Model, writer)
+	if err != nil {
+		return nil, err
+	}
+
+	err = common.CreateFormFile("file", filepath.Base(request.File), request.File, writer)
+	if err != nil {
+		return nil, err
+	}
+	writer.Close()
+	r, err := common.MakeRequestWithForm[Response](buf, TranslationEndpoint, http.MethodPost, writer.FormDataContentType(), organizationID)
+	if err != nil {
+		return nil, err
+	}
+	if r == nil {
+		return nil, errors.New("nil response received")
+	}
+	if r.Error != nil {
+		return r, r.Error
+	}
+	return r, nil
+}

audio/audio_test.go

@@ -0,0 +1,51 @@
+package audio_test
+
+import (
+	"os"
+	"testing"
+
+	"github.com/TannerKvarfordt/gopenai/audio"
+	"github.com/TannerKvarfordt/gopenai/authentication"
+)
+
+const (
+	OpenAITokenEnv        = "OPENAI_API_KEY"
+	transcriptionFilePath = "./test_files/transcription.m4a"
+	translationFilePath   = "./test_files/translation.m4a"
+	model                 = "whisper-1"
+)
+
+func init() {
+	key := os.Getenv(OpenAITokenEnv)
+	authentication.SetAPIKey(key)
+}
+
+func TestTranscription(t *testing.T) {
+	resp, err := audio.MakeTranscriptionRequest(&audio.TranscriptionRequest{
+		File:  transcriptionFilePath,
+		Model: model,
+	}, nil)
+	if err != nil {
+		t.Fatal(err)
+		return
+	}
+	if resp.Text == "" {
+		t.Fatal("no transcription returned")
+		return
+	}
+}
+
+func TestTranslation(t *testing.T) {
+	resp, err := audio.MakeTranslationRequest(&audio.TranslationRequest{
+		File:  translationFilePath,
+		Model: model,
+	}, nil)
+	if err != nil {
+		t.Fatal(err)
+		return
+	}
+	if resp.Text == "" {
+		t.Fatal("no translation returned")
+		return
+	}
+}

chat/README.md

@@ -0,0 +1,7 @@
+# Chat
+
+Bindings for the [chat](https://platform.openai.com/docs/api-reference/chat) [endpoint](https://api.openai.com/v1/chat/completions).
+
+## Example
+
+See [chat-example.go](../examples/chat/chat-example.go).

chat/chat.go

@@ -0,0 +1,139 @@
+// Package chat provides bindings for the [chat] [endpoint].
+// Given a chat conversation, the model will return a chat
+// completion response.
+//
+// [chat]: https://platform.openai.com/docs/api-reference/chat
+// [endpoint]: https://api.openai.com/v1/chat/completions
+package chat
+
+import (
+	"errors"
+	"net/http"
+
+	"github.com/TannerKvarfordt/gopenai/common"
+	"github.com/TannerKvarfordt/gopenai/moderations"
+)
+
+const Endpoint = common.BaseURL + "chat/completions"
+
+type Role = string
+
+const (
+	SystemRole    Role = "system"
+	UserRole      Role = "user"
+	AssistantRole Role = "assistant"
+)
+
+type Chat struct {
+	Role    Role   `json:"role"`
+	Content string `json:"content"`
+}
+
+// Request structure for the chat API endpoint.
+type Request struct {
+	// ID of the model to use. You can use the List models API
+	// to see all of your available models, or see our Model
+	// overview for descriptions of them.
+	Model string `json:"model"`
+
+	// The messages to generate chat completions for,
+	// in the [chat format].
+	//
+	// [chat format]: https://platform.openai.com/docs/guides/chat
+	Messages []Chat `json:"messages"`
+
+	// What sampling temperature to use, between 0 and 2. Higher values
+	// like 0.8 will make the output more random, while lower values like
+	// 0.2 will make it more focused and deterministic. We generally
+	// recommend altering this or top_p but not both.
+	Temperature *float64 `json:"temperature,omitempty"`
+
+	// An alternative to sampling with temperature, called nucleus sampling,
+	// where the model considers the results of the tokens with top_p
+	// probability mass. So 0.1 means only the tokens comprising the top 10%
+	// probability mass are considered.
+	// We generally recommend altering this or temperature but not both.
+	TopP *float64 `json:"top_p,omitempty"`
+
+	// How many chat completion choices to generate for each input message.
+	N *int64 `json:"n,omitempty"`
+
+	// If set, partial message deltas will be sent, like in ChatGPT. Tokens
+	// will be sent as data-only server-sent events as they become available,
+	// with the stream terminated by a data: [DONE] message. See the OpenAI
+	// Cookbook for example code.
+	// Stream bool `json:"stream,omitempty"` TODO: Add streaming support
+
+	// Up to 4 sequences where the API will stop generating further tokens.
+	Stop []string `json:"stop,omitempty"`
+
+	// The maximum number of tokens to generate in the chat completion.
+	// The total length of input tokens and generated tokens is limited
+	// by the model's context length.
+	MaxTokens *int64 `json:"max_tokens,omitempty"`
+
+	// Number between -2.0 and 2.0. Positive values penalize new tokens
+	// based on their existing frequency in the text so far, decreasing
+	// the model's likelihood to repeat the same line verbatim.
+	PresencePenalty *float64 `json:"presence_penalty,omitempty"`
+
+	// Modify the likelihood of specified tokens appearing in the completion.
+	// Accepts a json object that maps tokens (specified by their token ID in
+	// the tokenizer) to an associated bias value from -100 to 100. Mathematically,
+	// the bias is added to the logits generated by the model prior to sampling.
+	// The exact effect will vary per model, but values between -1 and 1 should decrease
+	// or increase likelihood of selection; values like -100 or 100 should result in a
+	// ban or exclusive selection of the relevant token.
+	LogitBias map[string]int64 `json:"logit_bias,omitempty"`
+
+	// A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
+	User string `json:"user,omitempty"`
+}
+
+type Response struct {
+	ID      string `json:"id,omitempty"`
+	Object  string `json:"object,omitempty"`
+	Created int64  `json:"created,omitempty"`
+	Choices []struct {
+		Index        int64  `json:"index,omitempty"`
+		Message      Chat   `json:"message,omitempty"`
+		FinishReason string `json:"finish_reason,omitempty"`
+	}
+	Usage common.ResponseUsage  `json:"usage"`
+	Error *common.ResponseError `json:"error,omitempty"`
+}
+
+func MakeRequest(request *Request, organizationID *string) (*Response, error) {
+	r, err := common.MakeRequest[Request, Response](request, Endpoint, http.MethodPost, organizationID)
+	if err != nil {
+		return nil, err
+	}
+	if r == nil {
+		return nil, errors.New("nil response received")
+	}
+	if r.Error != nil {
+		return r, r.Error
+	}
+	if len(r.Choices) == 0 {
+		return r, errors.New("no choices in response")
+	}
+	return r, nil
+}
+
+func MakeModeratedRequest(request *Request, organizationID *string) (*Response, *moderations.Response, error) {
+	input := make([]string, len(request.Messages))
+	for i := range request.Messages {
+		input[i] = request.Messages[i].Content
+	}
+
+	modr, err := moderations.MakeModeratedRequest(&moderations.Request{
+		Input: input,
+		Model: moderations.ModelLatest,
+	}, organizationID)
+	if err != nil {
+		return nil, modr, err
+	}
+
+	r, err := MakeRequest(request, organizationID)
+	return r, modr, err
+}