new version for apigo.cc/ai
This commit is contained in:
parent
998a9f4ad5
commit
f7fbd20ffa
20
ai_test.go
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20
ai_test.go
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package openai_test
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import (
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"testing"
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_ "apigo.cc/ai"
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_ "apigo.cc/ai/openai"
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"apigo.cc/gojs"
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_ "apigo.cc/gojs/console"
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"github.com/ssgo/u"
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)
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func TestAI(t *testing.T) {
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gojs.ExportForDev()
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r, err := gojs.RunFile("ai_test.js")
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if err != nil {
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t.Fatal(err.Error())
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}
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println(u.Cyan(u.JsonP(r)))
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}
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6
ai_test.js
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6
ai_test.js
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import co from 'apigo.cc/gojs/console'
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import ai from 'apigo.cc/ai'
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return ai.openai.fastAsk('用一句话介绍一下你的主人', co.info, {
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systemPrompt: '你的主人叫张三,是个程序员'
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})
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172
chat.go
172
chat.go
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package openai
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package openai
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import (
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import (
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"apigo.cc/ai/llm/llm"
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"bytes"
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"bytes"
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"context"
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"context"
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"encoding/binary"
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"encoding/binary"
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"fmt"
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"strings"
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"time"
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"apigo.cc/ai"
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"github.com/sashabaranov/go-openai"
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"github.com/sashabaranov/go-openai"
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"github.com/ssgo/log"
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"github.com/ssgo/log"
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"github.com/ssgo/u"
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"github.com/ssgo/u"
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"strings"
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"time"
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)
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)
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func (lm *LLM) FastAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
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func getClient(aiConf *ai.AIConfig) *openai.Client {
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return lm.Ask(messages, llm.ChatConfig{
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openaiConf := openai.DefaultConfig(aiConf.ApiKey)
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Model: ModelGPT_4o_mini_2024_07_18,
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if aiConf.Endpoint != "" {
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}, callback)
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openaiConf.BaseURL = aiConf.Endpoint
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}
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func (lm *LLM) LongAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
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return lm.Ask(messages, llm.ChatConfig{
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Model: ModelGPT_4_32k_0613,
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}, callback)
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}
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func (lm *LLM) BatterAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
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return lm.Ask(messages, llm.ChatConfig{
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Model: ModelGPT_4_turbo,
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}, callback)
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}
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func (lm *LLM) BestAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
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return lm.Ask(messages, llm.ChatConfig{
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Model: ModelGPT_4o_2024_08_06,
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}, callback)
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}
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func (lm *LLM) MultiAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
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return lm.Ask(messages, llm.ChatConfig{
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Model: ModelGPT_4o_mini_2024_07_18,
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}, callback)
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}
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func (lm *LLM) BestMultiAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
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return lm.Ask(messages, llm.ChatConfig{
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Model: ModelGPT_4o_2024_08_06,
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}, callback)
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}
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func (lm *LLM) CodeInterpreterAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
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return lm.Ask(messages, llm.ChatConfig{
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Model: ModelGPT_4o,
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Tools: map[string]any{llm.ToolCodeInterpreter: nil},
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}, callback)
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}
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func (lm *LLM) WebSearchAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
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return lm.Ask(messages, llm.ChatConfig{
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Model: ModelGPT_4o_mini_2024_07_18,
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Tools: map[string]any{llm.ToolWebSearch: nil},
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}, callback)
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}
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func (lm *LLM) Ask(messages []llm.ChatMessage, config llm.ChatConfig, callback func(answer string)) (string, llm.Usage, error) {
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openaiConf := openai.DefaultConfig(lm.config.ApiKey)
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if lm.config.Endpoint != "" {
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openaiConf.BaseURL = lm.config.Endpoint
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}
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}
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return openai.NewClientWithConfig(openaiConf)
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}
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config.SetDefault(&lm.config.ChatConfig)
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// func (lm *LLM) Ask(messages []ai.ChatMessage, config ai.ChatConfig, callback func(answer string)) (string, ai.Usage, error) {
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func Chat(aiConf *ai.AIConfig, messages []ai.ChatMessage, callback func(string), conf ai.ChatConfig) (ai.ChatResult, error) {
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agentMessages := make([]openai.ChatCompletionMessage, len(messages))
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chatMessages := make([]openai.ChatCompletionMessage, len(messages))
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for i, msg := range messages {
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for i, msg := range messages {
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var contents []openai.ChatMessagePart
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var contents []openai.ChatMessagePart
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if msg.Contents != nil {
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if msg.Contents != nil {
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contents = make([]openai.ChatMessagePart, len(msg.Contents))
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contents = make([]openai.ChatMessagePart, len(msg.Contents))
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for j, inPart := range msg.Contents {
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for j, inPart := range msg.Contents {
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part := openai.ChatMessagePart{}
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part := openai.ChatMessagePart{}
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part.Type = TypeMap[inPart.Type]
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switch inPart.Type {
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switch inPart.Type {
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case llm.TypeText:
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case ai.TypeText:
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part.Type = openai.ChatMessagePartTypeText
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part.Text = inPart.Content
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part.Text = inPart.Content
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case llm.TypeImage:
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case ai.TypeImage:
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part.Type = openai.ChatMessagePartTypeImageURL
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part.ImageURL = &openai.ChatMessageImageURL{
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part.ImageURL = &openai.ChatMessageImageURL{
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URL: inPart.Content,
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URL: inPart.Content,
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Detail: openai.ImageURLDetailAuto,
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Detail: openai.ImageURLDetailAuto,
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}
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}
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default:
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part.Type = openai.ChatMessagePartType(inPart.Type)
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part.Text = inPart.Content
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}
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}
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contents[j] = part
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contents[j] = part
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}
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}
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}
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}
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if len(contents) == 1 && contents[0].Type == llm.TypeText {
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if len(contents) == 1 && contents[0].Type == ai.TypeText {
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agentMessages[i] = openai.ChatCompletionMessage{
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chatMessages[i] = openai.ChatCompletionMessage{
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Role: RoleMap[msg.Role],
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Role: msg.Role,
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Content: contents[0].Text,
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Content: contents[0].Text,
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}
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}
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} else {
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} else {
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agentMessages[i] = openai.ChatCompletionMessage{
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chatMessages[i] = openai.ChatCompletionMessage{
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Role: RoleMap[msg.Role],
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Role: msg.Role,
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MultiContent: contents,
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MultiContent: contents,
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}
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}
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}
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}
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}
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}
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if conf.SystemPrompt != "" {
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chatMessages = append([]openai.ChatCompletionMessage{{
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Role: openai.ChatMessageRoleSystem,
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Content: conf.SystemPrompt,
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}}, chatMessages...)
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}
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opt := openai.ChatCompletionRequest{
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opt := openai.ChatCompletionRequest{
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Model: config.GetModel(),
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Model: conf.Model,
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Messages: agentMessages,
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Messages: chatMessages,
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MaxTokens: config.GetMaxTokens(),
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MaxTokens: conf.MaxTokens,
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Temperature: float32(config.GetTemperature()),
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Temperature: float32(conf.Temperature),
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TopP: float32(config.GetTopP()),
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TopP: float32(conf.TopP),
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StreamOptions: &openai.StreamOptions{
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StreamOptions: &openai.StreamOptions{
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IncludeUsage: true,
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IncludeUsage: true,
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},
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},
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}
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}
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for name := range config.GetTools() {
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for name, toolConf := range conf.Tools {
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switch name {
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switch name {
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case llm.ToolCodeInterpreter:
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case ai.ToolCodeInterpreter:
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opt.Tools = append(opt.Tools, openai.Tool{Type: "code_interpreter"})
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opt.Tools = append(opt.Tools, openai.Tool{Type: "code_interpreter"})
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case llm.ToolWebSearch:
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case ai.ToolFunction:
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conf := openai.FunctionDefinition{}
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u.Convert(toolConf, &conf)
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opt.Tools = append(opt.Tools, openai.Tool{Type: openai.ToolTypeFunction, Function: &conf})
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}
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}
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}
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}
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c := openai.NewClientWithConfig(openaiConf)
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c := getClient(aiConf)
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if callback != nil {
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if callback != nil {
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opt.Stream = true
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opt.Stream = true
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r, err := c.CreateChatCompletionStream(context.Background(), opt)
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r, err := c.CreateChatCompletionStream(context.Background(), opt)
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if err == nil {
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if err == nil {
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results := make([]string, 0)
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results := make([]string, 0)
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usage := llm.Usage{}
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out := ai.ChatResult{}
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for {
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for {
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if r2, err := r.Recv(); err == nil {
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if r2, err := r.Recv(); err == nil {
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if r2.Choices != nil {
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if r2.Choices != nil {
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@ -140,19 +106,20 @@ func (lm *LLM) Ask(messages []llm.ChatMessage, config llm.ChatConfig, callback f
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}
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}
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}
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}
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if r2.Usage != nil {
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if r2.Usage != nil {
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usage.AskTokens += int64(r2.Usage.PromptTokens)
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out.AskTokens += int64(r2.Usage.PromptTokens)
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usage.AnswerTokens += int64(r2.Usage.CompletionTokens)
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out.AnswerTokens += int64(r2.Usage.CompletionTokens)
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usage.TotalTokens += int64(r2.Usage.TotalTokens)
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out.TotalTokens += int64(r2.Usage.TotalTokens)
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}
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}
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} else {
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} else {
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break
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break
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}
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}
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}
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}
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_ = r.Close()
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_ = r.Close()
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return strings.Join(results, ""), usage, nil
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out.Result = strings.Join(results, "")
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return out, nil
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} else {
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} else {
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log.DefaultLogger.Error(err.Error())
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log.DefaultLogger.Error(err.Error())
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return "", llm.Usage{}, err
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return ai.ChatResult{}, err
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}
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}
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} else {
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} else {
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t1 := time.Now().UnixMilli()
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t1 := time.Now().UnixMilli()
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@ -164,47 +131,29 @@ func (lm *LLM) Ask(messages []llm.ChatMessage, config llm.ChatConfig, callback f
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results = append(results, ch.Message.Content)
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results = append(results, ch.Message.Content)
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}
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}
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}
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}
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return strings.Join(results, ""), llm.Usage{
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return ai.ChatResult{
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Result: strings.Join(results, ""),
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AskTokens: int64(r.Usage.PromptTokens),
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AskTokens: int64(r.Usage.PromptTokens),
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AnswerTokens: int64(r.Usage.CompletionTokens),
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AnswerTokens: int64(r.Usage.CompletionTokens),
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TotalTokens: int64(r.Usage.TotalTokens),
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TotalTokens: int64(r.Usage.TotalTokens),
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UsedTime: t2,
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UsedTime: t2,
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}, nil
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}, nil
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} else {
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} else {
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//fmt.Println(u.BMagenta(err.Error()), u.BMagenta(u.JsonP(r)))
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return ai.ChatResult{}, err
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return "", llm.Usage{}, err
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}
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}
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}
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}
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}
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}
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func (lm *LLM) FastEmbedding(text string) ([]byte, llm.Usage, error) {
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func Embedding(aiConf *ai.AIConfig, text string, embeddingConf ai.EmbeddingConfig) (ai.EmbeddingResult, error) {
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return lm.Embedding(text, string(openai.AdaEmbeddingV2))
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c := getClient(aiConf)
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}
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func (lm *LLM) BestEmbedding(text string) ([]byte, llm.Usage, error) {
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return lm.Embedding(text, string(openai.LargeEmbedding3))
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}
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func (lm *LLM) Embedding(text, model string) ([]byte, llm.Usage, error) {
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fmt.Println(111, model, text)
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openaiConf := openai.DefaultConfig(lm.config.ApiKey)
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if lm.config.Endpoint != "" {
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openaiConf.BaseURL = lm.config.Endpoint
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}
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c := openai.NewClientWithConfig(openaiConf)
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req := openai.EmbeddingRequest{
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req := openai.EmbeddingRequest{
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Input: text,
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Input: text,
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Model: openai.EmbeddingModel(model),
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Model: openai.EmbeddingModel(embeddingConf.Model),
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User: "",
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User: "",
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EncodingFormat: "",
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EncodingFormat: "",
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Dimensions: 0,
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Dimensions: 0,
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}
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}
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if lm.config.Debug {
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fmt.Println(u.JsonP(req))
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}
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t1 := time.Now().UnixMilli()
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t1 := time.Now().UnixMilli()
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if r, err := c.CreateEmbeddings(context.Background(), req); err == nil {
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if r, err := c.CreateEmbeddings(context.Background(), req); err == nil {
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t2 := time.Now().UnixMilli() - t1
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t2 := time.Now().UnixMilli() - t1
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@ -216,15 +165,14 @@ func (lm *LLM) Embedding(text, model string) ([]byte, llm.Usage, error) {
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}
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}
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}
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}
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}
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}
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fmt.Println(len(buf.Bytes()))
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return ai.EmbeddingResult{
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return buf.Bytes(), llm.Usage{
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Result: buf.Bytes(),
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AskTokens: int64(r.Usage.PromptTokens),
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AskTokens: int64(r.Usage.PromptTokens),
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AnswerTokens: int64(r.Usage.CompletionTokens),
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AnswerTokens: int64(r.Usage.CompletionTokens),
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TotalTokens: int64(r.Usage.TotalTokens),
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TotalTokens: int64(r.Usage.TotalTokens),
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UsedTime: t2,
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UsedTime: t2,
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}, nil
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}, nil
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} else {
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} else {
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fmt.Println(err.Error())
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return ai.EmbeddingResult{}, err
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return nil, llm.Usage{}, err
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|
||||||
}
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}
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}
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}
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88
config.go
88
config.go
@ -1,81 +1,25 @@
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package openai
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package openai
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|
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import (
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import (
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"apigo.cc/ai/llm/llm"
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_ "embed"
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"github.com/sashabaranov/go-openai"
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"apigo.cc/ai"
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"github.com/ssgo/u"
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)
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)
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type LLM struct {
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//go:embed default.yml
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config llm.Config
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var defaultYml string
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}
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var TypeMap = map[string]openai.ChatMessagePartType{
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llm.TypeText: openai.ChatMessagePartTypeText,
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llm.TypeImage: openai.ChatMessagePartTypeImageURL,
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//llm.TypeVideo: "video_url",
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}
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var RoleMap = map[string]string{
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llm.RoleSystem: openai.ChatMessageRoleSystem,
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llm.RoleUser: openai.ChatMessageRoleUser,
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|
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llm.RoleAssistant: openai.ChatMessageRoleAssistant,
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llm.RoleTool: openai.ChatMessageRoleTool,
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}
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|
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const (
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|
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ModelGPT_4_32k_0613 = "gpt-4-32k-0613"
|
|
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ModelGPT_4_32k_0314 = "gpt-4-32k-0314"
|
|
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ModelGPT_4_32k = "gpt-4-32k"
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ModelGPT_4_0613 = "gpt-4-0613"
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ModelGPT_4_0314 = "gpt-4-0314"
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ModelGPT_4o = "gpt-4o"
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|
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ModelGPT_4o_2024_05_13 = "gpt-4o-2024-05-13"
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|
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ModelGPT_4o_2024_08_06 = "gpt-4o-2024-08-06"
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ModelGPT_4o_mini = "gpt-4o-mini"
|
|
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ModelGPT_4o_mini_2024_07_18 = "gpt-4o-mini-2024-07-18"
|
|
||||||
ModelGPT_4_turbo = "gpt-4-turbo"
|
|
||||||
ModelGPT_4_turbo_2024_04_09 = "gpt-4-turbo-2024-04-09"
|
|
||||||
ModelGPT_4_0125_preview = "gpt-4-0125-preview"
|
|
||||||
ModelGPT_4_1106_preview = "gpt-4-1106-preview"
|
|
||||||
ModelGPT_4_turbo_preview = "gpt-4-turbo-preview"
|
|
||||||
ModelGPT_4_vision_preview = "gpt-4-vision-preview"
|
|
||||||
ModelGPT_4 = "gpt-4"
|
|
||||||
ModelGPT_3_5_turbo_0125 = "gpt-3.5-turbo-0125"
|
|
||||||
ModelGPT_3_5_turbo_1106 = "gpt-3.5-turbo-1106"
|
|
||||||
ModelGPT_3_5_turbo_0613 = "gpt-3.5-turbo-0613"
|
|
||||||
ModelGPT_3_5_turbo_0301 = "gpt-3.5-turbo-0301"
|
|
||||||
ModelGPT_3_5_turbo_16k = "gpt-3.5-turbo-16k"
|
|
||||||
ModelGPT_3_5_turbo_16k_0613 = "gpt-3.5-turbo-16k-0613"
|
|
||||||
ModelGPT_3_5_turbo = "gpt-3.5-turbo"
|
|
||||||
ModelGPT_3_5_turbo_instruct = "gpt-3.5-turbo-instruct"
|
|
||||||
ModelDavinci_002 = "davinci-002"
|
|
||||||
ModelCurie = "curie"
|
|
||||||
ModelCurie_002 = "curie-002"
|
|
||||||
ModelAda_002 = "ada-002"
|
|
||||||
ModelBabbage_002 = "babbage-002"
|
|
||||||
ModelCode_davinci_002 = "code-davinci-002"
|
|
||||||
ModelCode_cushman_001 = "code-cushman-001"
|
|
||||||
ModelCode_davinci_001 = "code-davinci-001"
|
|
||||||
ModelDallE2Std = "dall-e-2"
|
|
||||||
ModelDallE2HD = "dall-e-2-hd"
|
|
||||||
ModelDallE3Std = "dall-e-3"
|
|
||||||
ModelDallE3HD = "dall-e-3-hd"
|
|
||||||
)
|
|
||||||
|
|
||||||
func (ag *LLM) Support() llm.Support {
|
|
||||||
return llm.Support{
|
|
||||||
Ask: true,
|
|
||||||
AskWithImage: true,
|
|
||||||
AskWithVideo: false,
|
|
||||||
AskWithCodeInterpreter: true,
|
|
||||||
AskWithWebSearch: false,
|
|
||||||
MakeImage: true,
|
|
||||||
MakeVideo: false,
|
|
||||||
Models: []string{ModelGPT_4_32k_0613, ModelGPT_4_32k_0314, ModelGPT_4_32k, ModelGPT_4_0613, ModelGPT_4_0314, ModelGPT_4o, ModelGPT_4o_2024_05_13, ModelGPT_4o_2024_08_06, ModelGPT_4o_mini, ModelGPT_4o_mini_2024_07_18, ModelGPT_4_turbo, ModelGPT_4_turbo_2024_04_09, ModelGPT_4_0125_preview, ModelGPT_4_1106_preview, ModelGPT_4_turbo_preview, ModelGPT_4_vision_preview, ModelGPT_4, ModelGPT_3_5_turbo_0125, ModelGPT_3_5_turbo_1106, ModelGPT_3_5_turbo_0613, ModelGPT_3_5_turbo_0301, ModelGPT_3_5_turbo_16k, ModelGPT_3_5_turbo_16k_0613, ModelGPT_3_5_turbo, ModelGPT_3_5_turbo_instruct, ModelDavinci_002, ModelCurie, ModelCurie_002, ModelAda_002, ModelBabbage_002, ModelCode_davinci_002, ModelCode_cushman_001, ModelCode_davinci_001, ModelDallE2Std, ModelDallE2HD, ModelDallE3Std, ModelDallE3HD},
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
func init() {
|
func init() {
|
||||||
llm.Register("openai", func(config llm.Config) llm.LLM {
|
defaultConf := ai.AILoadConfig{}
|
||||||
return &LLM{config: config}
|
u.Convert(u.UnYamlMap(defaultYml), &defaultConf)
|
||||||
|
ai.Register("openai", &ai.Agent{
|
||||||
|
ChatConfigs: defaultConf.Chat,
|
||||||
|
EmbeddingConfigs: defaultConf.Embedding,
|
||||||
|
ImageConfigs: defaultConf.Image,
|
||||||
|
VideoConfigs: defaultConf.Video,
|
||||||
|
Chat: Chat,
|
||||||
|
Embedding: Embedding,
|
||||||
|
MakeImage: MakeImage,
|
||||||
})
|
})
|
||||||
}
|
}
|
||||||
|
31
default.yml
Normal file
31
default.yml
Normal file
@ -0,0 +1,31 @@
|
|||||||
|
chat:
|
||||||
|
fastAsk:
|
||||||
|
model: gpt-4o-mini-2024-07-18
|
||||||
|
longAsk:
|
||||||
|
model: gpt-4-32k-0613
|
||||||
|
turboAsk:
|
||||||
|
model: gpt-4-turbo
|
||||||
|
visionAsk:
|
||||||
|
model: gpt-4-vision-preview
|
||||||
|
bestAsk:
|
||||||
|
model: gpt-4o-2024-08-06
|
||||||
|
codeInterpreter:
|
||||||
|
model: gpt-4o-2024-08-06
|
||||||
|
tools:
|
||||||
|
codeInterpreter:
|
||||||
|
embedding:
|
||||||
|
embedding:
|
||||||
|
model: text-embedding-3-small
|
||||||
|
embeddingLarge:
|
||||||
|
model: text-embedding-3-large
|
||||||
|
image:
|
||||||
|
makeImage:
|
||||||
|
model: dall-e-3
|
||||||
|
quality: standard
|
||||||
|
width: 1024
|
||||||
|
height: 1024
|
||||||
|
makeImageHD:
|
||||||
|
model: dall-e-3-hd
|
||||||
|
quality: hd
|
||||||
|
width: 1024
|
||||||
|
height: 1024
|
75
gc.go
75
gc.go
@ -1,55 +1,36 @@
|
|||||||
package openai
|
package openai
|
||||||
|
|
||||||
import (
|
import (
|
||||||
"apigo.cc/ai/llm/llm"
|
|
||||||
"context"
|
"context"
|
||||||
"github.com/sashabaranov/go-openai"
|
"fmt"
|
||||||
"strings"
|
"strings"
|
||||||
"time"
|
"time"
|
||||||
|
|
||||||
|
"apigo.cc/ai"
|
||||||
|
"github.com/sashabaranov/go-openai"
|
||||||
)
|
)
|
||||||
|
|
||||||
// func (lm *LLM) FastMakeImage(prompt, size, refImage string) ([]string, llm.Usage, error) {
|
func MakeImage(aiConf *ai.AIConfig, conf ai.ImageConfig) (ai.ImageResult, error) {
|
||||||
// return lm.MakeImage(ModelDallE3Std, prompt, size, refImage)
|
c := getClient(aiConf)
|
||||||
// }
|
|
||||||
//
|
|
||||||
// func (lm *LLM) BestMakeImage(prompt, size, refImage string) ([]string, llm.Usage, error) {
|
|
||||||
// return lm.MakeImage(ModelDallE3HD, prompt, size, refImage)
|
|
||||||
// }
|
|
||||||
//
|
|
||||||
// func (lm *LLM) MakeImage(model, prompt, size, refImage string) ([]string, llm.Usage, error) {
|
|
||||||
func (lm *LLM) FastMakeImage(prompt string, config llm.GCConfig) ([]string, llm.Usage, error) {
|
|
||||||
config.Model = ModelDallE3Std
|
|
||||||
return lm.MakeImage(prompt, config)
|
|
||||||
}
|
|
||||||
|
|
||||||
func (lm *LLM) BestMakeImage(prompt string, config llm.GCConfig) ([]string, llm.Usage, error) {
|
style := conf.Style
|
||||||
config.Model = ModelDallE3HD
|
if style == "" && (strings.Contains(conf.Prompt, "natural") || strings.Contains(conf.Prompt, "自然")) {
|
||||||
return lm.MakeImage(prompt, config)
|
|
||||||
}
|
|
||||||
|
|
||||||
func (lm *LLM) MakeImage(prompt string, config llm.GCConfig) ([]string, llm.Usage, error) {
|
|
||||||
openaiConf := openai.DefaultConfig(lm.config.ApiKey)
|
|
||||||
if lm.config.Endpoint != "" {
|
|
||||||
openaiConf.BaseURL = lm.config.Endpoint
|
|
||||||
}
|
|
||||||
config.SetDefault(&lm.config.GCConfig)
|
|
||||||
c := openai.NewClientWithConfig(openaiConf)
|
|
||||||
style := openai.CreateImageStyleVivid
|
|
||||||
if (!strings.Contains(prompt, "vivid") || !strings.Contains(prompt, "生动的")) && (strings.Contains(prompt, "natural") || strings.Contains(prompt, "自然的")) {
|
|
||||||
style = openai.CreateImageStyleNatural
|
style = openai.CreateImageStyleNatural
|
||||||
}
|
}
|
||||||
quality := openai.CreateImageQualityStandard
|
if style == "" {
|
||||||
model := config.GetModel()
|
style = openai.CreateImageStyleVivid
|
||||||
if strings.HasSuffix(model, "-hd") {
|
|
||||||
quality = openai.CreateImageQualityHD
|
|
||||||
model = model[0 : len(model)-3]
|
|
||||||
}
|
}
|
||||||
|
quality := conf.Quality
|
||||||
|
if quality == "" {
|
||||||
|
quality = openai.CreateImageQualityStandard
|
||||||
|
}
|
||||||
|
|
||||||
t1 := time.Now().UnixMilli()
|
t1 := time.Now().UnixMilli()
|
||||||
r, err := c.CreateImage(context.Background(), openai.ImageRequest{
|
r, err := c.CreateImage(context.Background(), openai.ImageRequest{
|
||||||
Prompt: prompt,
|
Prompt: conf.SystemPrompt + conf.Prompt,
|
||||||
Model: model,
|
Model: conf.Model,
|
||||||
Quality: quality,
|
Quality: quality,
|
||||||
Size: config.GetSize(),
|
Size: fmt.Sprintf("%dx%d", conf.Width, conf.Height),
|
||||||
Style: style,
|
Style: style,
|
||||||
ResponseFormat: openai.CreateImageResponseFormatURL,
|
ResponseFormat: openai.CreateImageResponseFormatURL,
|
||||||
})
|
})
|
||||||
@ -59,25 +40,11 @@ func (lm *LLM) MakeImage(prompt string, config llm.GCConfig) ([]string, llm.Usag
|
|||||||
for _, item := range r.Data {
|
for _, item := range r.Data {
|
||||||
results = append(results, item.URL)
|
results = append(results, item.URL)
|
||||||
}
|
}
|
||||||
return results, llm.Usage{
|
return ai.ImageResult{
|
||||||
AskTokens: 0,
|
Results: results,
|
||||||
AnswerTokens: 0,
|
|
||||||
TotalTokens: 0,
|
|
||||||
UsedTime: t2,
|
UsedTime: t2,
|
||||||
}, nil
|
}, nil
|
||||||
} else {
|
} else {
|
||||||
return nil, llm.Usage{}, err
|
return ai.ImageResult{}, err
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
func (lm *LLM) FastMakeVideo(prompt string, config llm.GCConfig) ([]string, []string, llm.Usage, error) {
|
|
||||||
return lm.MakeVideo(prompt, config)
|
|
||||||
}
|
|
||||||
|
|
||||||
func (lm *LLM) BestMakeVideo(prompt string, config llm.GCConfig) ([]string, []string, llm.Usage, error) {
|
|
||||||
return lm.MakeVideo(prompt, config)
|
|
||||||
}
|
|
||||||
|
|
||||||
func (lm *LLM) MakeVideo(prompt string, config llm.GCConfig) ([]string, []string, llm.Usage, error) {
|
|
||||||
return nil, nil, llm.Usage{}, nil
|
|
||||||
}
|
|
||||||
|
15
go.mod
15
go.mod
@ -1,16 +1,25 @@
|
|||||||
module apigo.cc/ai/openai
|
module apigo.cc/ai/openai
|
||||||
|
|
||||||
go 1.22
|
go 1.18
|
||||||
|
|
||||||
require (
|
require (
|
||||||
apigo.cc/ai/llm v0.0.4
|
apigo.cc/ai v0.0.1
|
||||||
github.com/sashabaranov/go-openai v1.29.1
|
apigo.cc/gojs v0.0.4
|
||||||
|
apigo.cc/gojs/console v0.0.1
|
||||||
|
github.com/sashabaranov/go-openai v1.32.5
|
||||||
github.com/ssgo/log v1.7.7
|
github.com/ssgo/log v1.7.7
|
||||||
github.com/ssgo/u v1.7.9
|
github.com/ssgo/u v1.7.9
|
||||||
)
|
)
|
||||||
|
|
||||||
require (
|
require (
|
||||||
|
github.com/dlclark/regexp2 v1.11.4 // indirect
|
||||||
|
github.com/fsnotify/fsnotify v1.7.0 // indirect
|
||||||
|
github.com/go-sourcemap/sourcemap v2.1.4+incompatible // indirect
|
||||||
|
github.com/google/pprof v0.0.0-20230207041349-798e818bf904 // indirect
|
||||||
github.com/ssgo/config v1.7.8 // indirect
|
github.com/ssgo/config v1.7.8 // indirect
|
||||||
github.com/ssgo/standard v1.7.7 // indirect
|
github.com/ssgo/standard v1.7.7 // indirect
|
||||||
|
github.com/ssgo/tool v0.4.27 // indirect
|
||||||
|
golang.org/x/sys v0.26.0 // indirect
|
||||||
|
golang.org/x/text v0.19.0 // indirect
|
||||||
gopkg.in/yaml.v3 v3.0.1 // indirect
|
gopkg.in/yaml.v3 v3.0.1 // indirect
|
||||||
)
|
)
|
||||||
|
Loading…
Reference in New Issue
Block a user