This commit is contained in:
STARAI\Star 2024-09-07 23:13:36 +08:00
commit 471f13a27d
5 changed files with 369 additions and 0 deletions

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LICENSE Normal file
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MIT License
Copyright (c) 2024 apigo
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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aigc.go Normal file
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package openai
import (
"context"
"github.com/sashabaranov/go-openai"
"strings"
)
func (ag *Agent) FastMakeImage(prompt, size, refImage string) ([]string, error) {
return ag.MakeImage(ModelDallE3Std, prompt, size, refImage)
}
func (ag *Agent) BestMakeImage(prompt, size, refImage string) ([]string, error) {
return ag.MakeImage(ModelDallE3HD, prompt, size, refImage)
}
func (ag *Agent) MakeImage(model, prompt, size, refImage string) ([]string, error) {
openaiConf := openai.DefaultConfig(ag.config.ApiKey)
if ag.config.Endpoint != "" {
openaiConf.BaseURL = ag.config.Endpoint
}
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
}
quality := openai.CreateImageQualityStandard
if strings.HasSuffix(model, "-hd") {
quality = openai.CreateImageQualityHD
model = model[0 : len(model)-3]
}
r, err := c.CreateImage(context.Background(), openai.ImageRequest{
Prompt: prompt,
Model: model,
Quality: quality,
Size: size,
Style: style,
ResponseFormat: openai.CreateImageResponseFormatURL,
})
if err == nil {
results := make([]string, 0)
for _, item := range r.Data {
results = append(results, item.URL)
}
return results, nil
} else {
return nil, err
}
}
func (ag *Agent) FastMakeVideo(prompt, size, refImage string) ([]string, []string, error) {
return ag.MakeVideo("", prompt, size, refImage)
}
func (ag *Agent) BestMakeVideo(prompt, size, refImage string) ([]string, []string, error) {
return ag.MakeVideo("", prompt, size, refImage)
}
func (ag *Agent) MakeVideo(model, prompt, size, refImage string) ([]string, []string, error) {
//c, err := openai.NewClient(openai.WithAPIKey(ag.config.ApiKey), openai.WithBaseURL(ag.config.Endpoint))
//if err != nil {
// return nil, nil, err
//}
//
//cc := c.VideoGeneration(model).SetPrompt(prompt)
//if refImage != "" {
// cc.SetImageURL(refImage)
//}
//
//if resp, err := cc.Do(context.Background()); err == nil {
// for i := 0; i < 1200; i++ {
// r, err := c.AsyncResult(resp.ID).Do(context.Background())
// if err != nil {
// return nil, nil, err
// }
// if r.TaskStatus == openai.VideoGenerationTaskStatusSuccess {
// covers := make([]string, 0)
// results := make([]string, 0)
// for _, item := range r.VideoResult {
// results = append(results, item.URL)
// covers = append(covers, item.CoverImageURL)
// }
// return results, covers, nil
// }
// if r.TaskStatus == openai.VideoGenerationTaskStatusFail {
// return nil, nil, errors.New("fail on task " + resp.ID)
// }
// time.Sleep(3 * time.Second)
// }
// return nil, nil, errors.New("timeout on task " + resp.ID)
//} else {
// return nil, nil, err
//}
return nil, nil, nil
}

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chat.go Normal file
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package openai
import (
"apigo.cc/ai/agent"
"context"
"github.com/sashabaranov/go-openai"
"github.com/ssgo/log"
"strings"
)
func (ag *Agent) FastAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
return ag.Ask(messages, &agent.ChatModelConfig{
Model: ModelGPT_4o_mini_2024_07_18,
}, callback)
}
func (ag *Agent) LongAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
return ag.Ask(messages, &agent.ChatModelConfig{
Model: ModelGPT_4_32k_0613,
}, callback)
}
func (ag *Agent) BatterAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
return ag.Ask(messages, &agent.ChatModelConfig{
Model: ModelGPT_4_turbo,
}, callback)
}
func (ag *Agent) BestAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
return ag.Ask(messages, &agent.ChatModelConfig{
Model: ModelGPT_4o_2024_08_06,
}, callback)
}
func (ag *Agent) MultiAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
return ag.Ask(messages, &agent.ChatModelConfig{
Model: ModelGPT_4o_mini_2024_07_18,
}, callback)
}
func (ag *Agent) BestMultiAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
return ag.Ask(messages, &agent.ChatModelConfig{
Model: ModelGPT_4o_2024_08_06,
}, callback)
}
func (ag *Agent) CodeInterpreterAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
return ag.Ask(messages, &agent.ChatModelConfig{
Model: ModelGPT_4o,
Tools: map[string]any{agent.ToolCodeInterpreter: nil},
}, callback)
}
func (ag *Agent) WebSearchAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
return ag.Ask(messages, &agent.ChatModelConfig{
Model: ModelGPT_4o_mini_2024_07_18,
Tools: map[string]any{agent.ToolWebSearch: nil},
}, callback)
}
func (ag *Agent) Ask(messages []agent.ChatMessage, config *agent.ChatModelConfig, callback func(answer string)) (string, agent.TokenUsage, error) {
openaiConf := openai.DefaultConfig(ag.config.ApiKey)
if ag.config.Endpoint != "" {
openaiConf.BaseURL = ag.config.Endpoint
}
if config == nil {
config = &agent.ChatModelConfig{}
}
config.SetDefault(&ag.config.DefaultChatModelConfig)
agentMessages := make([]openai.ChatCompletionMessage, len(messages))
for i, msg := range messages {
var contents []openai.ChatMessagePart
if msg.Contents != nil {
contents = make([]openai.ChatMessagePart, len(msg.Contents))
for j, inPart := range msg.Contents {
part := openai.ChatMessagePart{}
part.Type = TypeMap[inPart.Type]
switch inPart.Type {
case agent.TypeText:
part.Text = inPart.Content
case agent.TypeImage:
part.ImageURL = &openai.ChatMessageImageURL{
URL: inPart.Content,
Detail: openai.ImageURLDetailAuto,
}
}
contents[j] = part
}
}
agentMessages[i] = openai.ChatCompletionMessage{
Role: RoleMap[msg.Role],
MultiContent: contents,
}
}
opt := openai.ChatCompletionRequest{
Model: config.GetModel(),
Messages: agentMessages,
MaxTokens: config.GetMaxTokens(),
Temperature: float32(config.GetTemperature()),
TopP: float32(config.GetTopP()),
StreamOptions: &openai.StreamOptions{
IncludeUsage: true,
},
}
for name := range config.GetTools() {
switch name {
case agent.ToolCodeInterpreter:
opt.Tools = append(opt.Tools, openai.Tool{Type: "code_interpreter"})
case agent.ToolWebSearch:
}
}
c := openai.NewClientWithConfig(openaiConf)
if callback != nil {
opt.Stream = true
r, err := c.CreateChatCompletionStream(context.Background(), opt)
if err == nil {
results := make([]string, 0)
usage := agent.TokenUsage{}
for {
if r2, err := r.Recv(); err == nil {
if r2.Choices != nil {
for _, ch := range r2.Choices {
text := ch.Delta.Content
callback(text)
results = append(results, text)
}
}
if r2.Usage != nil {
usage.AskTokens += int64(r2.Usage.PromptTokens)
usage.AnswerTokens += int64(r2.Usage.CompletionTokens)
usage.TotalTokens += int64(r2.Usage.TotalTokens)
}
} else {
break
}
}
_ = r.Close()
return strings.Join(results, ""), usage, nil
} else {
log.DefaultLogger.Error(err.Error())
return "", agent.TokenUsage{}, err
}
} else {
r, err := c.CreateChatCompletion(context.Background(), opt)
if err == nil {
results := make([]string, 0)
if r.Choices != nil {
for _, ch := range r.Choices {
results = append(results, ch.Message.Content)
}
}
return strings.Join(results, ""), agent.TokenUsage{
AskTokens: int64(r.Usage.PromptTokens),
AnswerTokens: int64(r.Usage.CompletionTokens),
TotalTokens: int64(r.Usage.TotalTokens),
}, nil
} else {
//fmt.Println(u.BMagenta(err.Error()), u.BMagenta(u.JsonP(r)))
return "", agent.TokenUsage{}, err
}
}
}

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config.go Normal file
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package openai
import (
"apigo.cc/ai/agent"
"github.com/sashabaranov/go-openai"
)
type Agent struct {
config agent.APIConfig
}
var TypeMap = map[string]openai.ChatMessagePartType{
agent.TypeText: openai.ChatMessagePartTypeText,
agent.TypeImage: openai.ChatMessagePartTypeImageURL,
//agent.TypeVideo: "video_url",
}
var RoleMap = map[string]string{
agent.RoleSystem: openai.ChatMessageRoleSystem,
agent.RoleUser: openai.ChatMessageRoleUser,
agent.RoleAssistant: openai.ChatMessageRoleAssistant,
agent.RoleTool: openai.ChatMessageRoleTool,
}
const (
ModelGPT_4_32k_0613 = "gpt-4-32k-0613"
ModelGPT_4_32k_0314 = "gpt-4-32k-0314"
ModelGPT_4_32k = "gpt-4-32k"
ModelGPT_4_0613 = "gpt-4-0613"
ModelGPT_4_0314 = "gpt-4-0314"
ModelGPT_4o = "gpt-4o"
ModelGPT_4o_2024_05_13 = "gpt-4o-2024-05-13"
ModelGPT_4o_2024_08_06 = "gpt-4o-2024-08-06"
ModelGPT_4o_mini = "gpt-4o-mini"
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 *Agent) Support() agent.Support {
return agent.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() {
agent.RegisterAgentMaker("openai", func(config agent.APIConfig) agent.Agent {
return &Agent{config: config}
})
}

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go.mod Normal file
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module apigo.cc/ai/openai
go 1.22
require (
apigo.cc/ai/agent v0.0.1
github.com/sashabaranov/go-openai v1.29.1
github.com/ssgo/log v1.7.7
)
require (
github.com/ssgo/config v1.7.7 // indirect
github.com/ssgo/standard v1.7.7 // indirect
github.com/ssgo/u v1.7.7 // indirect
gopkg.in/yaml.v3 v3.0.1 // indirect
)