new version for apigo.cc/ai

This commit is contained in:
Star 2024-10-31 15:31:37 +08:00
parent ee2775d7fa
commit db308fe42b
16 changed files with 527 additions and 645 deletions

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# huoshan
# 火山引擎AI能力
To know about js functions, go to [huoshan.ts](https://apigo.cc/ai/huoshan/src/branch/master/huoshan.ts)
### 配置 Access Key ID & Secret Access Key
在火山引擎的[控制台中](https://console.volcengine.com/iam/keymanage/)获取Access Key ID & Secret Access Key建议使用子账号
将 AK 和 SK 以逗号分隔的形式填入 ai.yml 或 env.yml 中
```yaml
ai:
huoshan:
apiKey: AK,SK
```
建议将 AK&SK 加密,使用工具[sskey](https://github.com/ssgo/tool)
```shell
sskey -e 'AK,SK'
```
复制url base64编码后的字符串填入 ai.yml 或 env.yml 中
## 火山方舟大模型
在[控制台](https://console.volcengine.com/ark/)的在线推理中创建接入点使用接入点IDep-开头作为模型名称配置到chat中并赋予一个名称
```yaml
ai:
huoshan:
chat:
fastAsk:
model: ep-20241030164919-wql26
```
调用时的代码为:
```javascript
import co from 'apigo.cc/gojs/console'
import ai from 'apigo.cc/ai'
return ai.huoshan.fastAsk('用一句话介绍一下你的主人', co.info, {
systemPrompt: '你的主人叫张三,是个程序员'
})
```
## 图片生成
```javascript
import co from 'apigo.cc/gojs/console'
import ai from 'apigo.cc/ai'
return ai.huoshan.makeImage({
prompt: '在山顶,一位美丽的主人,头戴精致帽子,优雅地坐在藤椅上,手中端着一杯香浓的咖啡,身旁是云雾缭绕的美景,阳光洒在她身上,仿佛一幅宁静而美好的画面'
})
```

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ai_test.go Normal file
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package huoshan_test
import (
"testing"
_ "apigo.cc/ai"
_ "apigo.cc/ai/huoshan"
"apigo.cc/gojs"
_ "apigo.cc/gojs/console"
"github.com/ssgo/u"
)
func TestAI(t *testing.T) {
gojs.ExportForDev()
r, err := gojs.RunFile("ai_test.js")
if err != nil {
t.Fatal(err.Error())
}
println(u.Cyan(u.JsonP(r)))
}

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ai_test.js Normal file
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import co from 'apigo.cc/gojs/console'
import ai from 'apigo.cc/ai'
let r = ai.huoshan.fastAsk('用一句话为你的主人写一段生成在山顶喝咖啡的图片的提示词', co.print, {
systemPrompt: '你的主人很美丽,喜欢戴帽子'
})
co.println()
co.info('生成的提示词:', r.result)
let r2 = ai.huoshan.makeImage({
prompt: r.result,
systemPrompt: '3D卡通高清4K',
width: 1280,
height: 720,
})
co.info('生成的图片:', r2.results[0])
let r3 = ai.huoshan.makeImageKeepIP({
prompt: '女孩,骑马在草原上狂奔,天上的云朵,有太阳,有小鸟',
width: 1280,
height: 720,
ref: [r2.results[0]],
})
co.info('生成角色一致的图片:', r3.results[0])

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chat.go Normal file
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package huoshan
import (
"bytes"
"context"
"encoding/binary"
"io"
"strings"
"time"
"apigo.cc/ai"
"github.com/ssgo/u"
"github.com/volcengine/volcengine-go-sdk/service/arkruntime"
"github.com/volcengine/volcengine-go-sdk/service/arkruntime/model"
)
func getAKSK(aiConf *ai.AIConfig) (string, string) {
keys := strings.SplitN(aiConf.ApiKey, ",", 2)
if len(keys) == 1 {
keys = append(keys, "")
}
return keys[0], keys[1]
}
func getChatClient(aiConf *ai.AIConfig) *arkruntime.Client {
opt := make([]arkruntime.ConfigOption, 0)
if aiConf.Endpoint != "" {
opt = append(opt, arkruntime.WithBaseUrl(aiConf.Endpoint))
}
if aiConf.Extra["region"] != nil {
opt = append(opt, arkruntime.WithRegion(u.String(aiConf.Extra["region"])))
}
ak, sk := getAKSK(aiConf)
return arkruntime.NewClientWithAkSk(ak, sk, opt...)
}
func Chat(aiConf *ai.AIConfig, messages []ai.ChatMessage, callback func(string), conf ai.ChatConfig) (ai.ChatResult, error) {
req := model.ChatCompletionRequest{
Model: conf.Model,
}
req.Messages = make([]*model.ChatCompletionMessage, len(messages))
for i, msg := range messages {
var contents []*model.ChatCompletionMessageContentPart
if msg.Contents != nil {
contents = make([]*model.ChatCompletionMessageContentPart, len(msg.Contents))
for j, inPart := range msg.Contents {
part := model.ChatCompletionMessageContentPart{}
part.Type = model.ChatCompletionMessageContentPartType(inPart.Type)
switch inPart.Type {
case ai.TypeText:
part.Text = inPart.Content
case ai.TypeImage:
part.ImageURL = &model.ChatMessageImageURL{URL: inPart.Content}
//case ai.TypeVideo:
// part.VideoURL = &model.URLItem{URL: inPart.Content}
}
contents[j] = &part
}
}
if len(contents) == 1 && contents[0].Type == ai.TypeText {
req.Messages[i] = &model.ChatCompletionMessage{
Role: msg.Role,
Content: &model.ChatCompletionMessageContent{
StringValue: &contents[0].Text,
},
}
} else {
req.Messages[i] = &model.ChatCompletionMessage{
Role: msg.Role,
Content: &model.ChatCompletionMessageContent{
ListValue: contents,
},
}
}
}
if conf.SystemPrompt != "" {
req.Messages = append([]*model.ChatCompletionMessage{{
Role: ai.RoleSystem,
Content: &model.ChatCompletionMessageContent{
StringValue: &conf.SystemPrompt,
},
}}, req.Messages...)
}
tools := conf.Tools
if len(tools) > 0 {
req.Tools = make([]*model.Tool, 0)
for name, toolConf := range tools {
switch name {
case ai.ToolFunction:
conf := model.FunctionDefinition{}
u.Convert(toolConf, &conf)
req.Tools = append(req.Tools, &model.Tool{
Type: model.ToolTypeFunction,
Function: &conf,
})
}
}
}
if conf.MaxTokens != 0 {
req.MaxTokens = conf.MaxTokens
}
if conf.Temperature != 0 {
req.Temperature = float32(conf.Temperature)
}
if conf.TopP != 0 {
req.TopP = float32(conf.TopP)
}
c := getChatClient(aiConf)
t1 := time.Now().UnixMilli()
if callback != nil {
stream, err := c.CreateChatCompletionStream(context.Background(), req)
if err != nil {
return ai.ChatResult{}, err
}
results := make([]string, 0)
var outErr error
out := ai.ChatResult{}
for {
recv, err := stream.Recv()
if recv.Usage != nil {
out.AskTokens += int64(recv.Usage.PromptTokens)
out.AnswerTokens += int64(recv.Usage.CompletionTokens)
out.TotalTokens += int64(recv.Usage.TotalTokens)
}
if err == io.EOF {
break
}
if err != nil {
outErr = err
break
}
if len(recv.Choices) > 0 {
for _, ch := range recv.Choices {
text := ch.Delta.Content
results = append(results, text)
callback(text)
}
}
}
stream.Close()
out.UsedTime = time.Now().UnixMilli() - t1
out.Result = strings.Join(results, "")
return out, outErr
} else {
r, err := c.CreateChatCompletion(context.Background(), req)
if err != nil {
return ai.ChatResult{}, err
}
t2 := time.Now().UnixMilli() - t1
results := make([]string, 0)
if r.Choices != nil {
for _, ch := range r.Choices {
results = append(results, *ch.Message.Content.StringValue)
}
}
return ai.ChatResult{
Result: strings.Join(results, ""),
AskTokens: int64(r.Usage.PromptTokens),
AnswerTokens: int64(r.Usage.CompletionTokens),
TotalTokens: int64(r.Usage.TotalTokens),
UsedTime: t2,
}, nil
}
}
func Embedding(aiConf *ai.AIConfig, text string, embeddingConf ai.EmbeddingConfig) (ai.EmbeddingResult, error) {
c := getChatClient(aiConf)
req := model.EmbeddingRequestStrings{
Input: []string{text},
Model: embeddingConf.Model,
}
t1 := time.Now().UnixMilli()
if r, err := c.CreateEmbeddings(context.Background(), req); err == nil {
t2 := time.Now().UnixMilli() - t1
buf := new(bytes.Buffer)
if r.Data != nil {
for _, ch := range r.Data {
for _, v := range ch.Embedding {
_ = binary.Write(buf, binary.LittleEndian, float32(v))
}
}
}
return ai.EmbeddingResult{
Result: buf.Bytes(),
AskTokens: int64(r.Usage.PromptTokens),
AnswerTokens: int64(r.Usage.CompletionTokens),
TotalTokens: int64(r.Usage.TotalTokens),
UsedTime: t2,
}, nil
} else {
return ai.EmbeddingResult{}, err
}
}

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config.go Normal file
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package huoshan
import (
_ "embed"
"apigo.cc/ai"
"github.com/ssgo/u"
)
//go:embed default.yml
var defaultYml string
func init() {
defaultConf := ai.AILoadConfig{}
u.Convert(u.UnYamlMap(defaultYml), &defaultConf)
ai.Register("huoshan", &ai.Agent{
ChatConfigs: defaultConf.Chat,
EmbeddingConfigs: defaultConf.Embedding,
ImageConfigs: defaultConf.Image,
VideoConfigs: defaultConf.Video,
Chat: Chat,
Embedding: Embedding,
MakeImage: MakeImage,
// MakeVideo: MakeVideo,
// GetVideoResult: GetVideoResult,
})
}

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default.yml Normal file
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chat:
embedding:
image:
makeImage:
model: t2i_xl_sft
width: 1024
height: 1024
makeImageHD:
model: "high_aes_general_v20_L:general_v2.0_L"
width: 512
height: 512
extra:
req_schedule_conf: general_v20_9B_rephraser
use_sr: true
use_pre_llm: true
makeImageKeepIP:
model: "high_aes_general_v14_ip_keep:general_v1.4_ip"
width: 1024
height: 1024
makeAmericanComics:
model: "img2img_photoverse_american_comics"
make3DWeird:
model: "img2img_photoverse_3d_weird"
makeCyberpunk:
model: "img2img_photoverse_cyberpunk"
makeBabi:
model: "img2img_xiezhen_babi_niuzai"
extra:
beautify_info:
whitening: 2
dermabrasion: 2
makeIDPhoto:
model: "img2img_photoverse_executive_ID_photo"
# ModelDoubaoLite4k = "Doubao-lite-4k"
# ModelDoubaoLite32k = "Doubao-lite-32k"
# ModelDoubaoLite128k = "Doubao-lite-128k"
# ModelDoubaoPro4k = "Doubao-pro-4k"
# ModelDoubaoPro32k = "Doubao-pro-32k"
# ModelDoubaoPro128k = "Doubao-pro-128k"
# ModelDoubaoPro256k = "Doubao-pro-256k"
# ModelDoubaoEmbedding = "Doubao-embedding"
# ModelDoubaoEmbeddingLarge = "Doubao-embedding-large"
# ModelT2I2L = "high_aes_general_v20_L:general_v2.0_L"
# ModelT2I2S = "high_aes_general_v20:general_v2.0"
# ModelT2IXL = "t2i_xl_sft"
# ModelI2IXL = "i2i_xl_sft"
# ModelT2I14 = "high_aes_general_v14"
# ModelI2I14IP = "high_aes_general_v14_ip_keep"
# ModelAnime13 = "high_aes:anime_v1.3"
# ModelAnime131 = "high_aes:anime_v1.3.1"
# ModelPhotoverseAmericanComics = "img2img_photoverse_american_comics" // 美漫风格
# ModelPhotoverseExecutiveIDPhoto = "img2img_photoverse_executive_ID_photo" // 商务证件照
# ModelPhotoverse3dWeird = "img2img_photoverse_3d_weird" // 3d人偶
# ModelPhotoverseCyberpunk = "img2img_photoverse_cyberpunk" // 赛博朋克
# ModelXiezhenGubao = "img2img_xiezhen_gubao" // 古堡
# ModelXiezhenBabiNiuzai = "img2img_xiezhen_babi_niuzai" // 芭比牛仔
# ModelXiezhenBathrobe = "img2img_xiezhen_bathrobe" // 浴袍风格
# ModelXiezhenButterflyMachin = "img2img_xiezhen_butterfly_machin" // 蝴蝶机械
# ModelXiezhenZhichangzhengjianzhao = "img2img_xiezhen_zhichangzhengjianzhao" // 职场证件照
# ModelXiezhenChristmas = "img2img_xiezhen_christmas" // 圣诞
# ModelXiezhenDessert = "img2img_xiezhen_dessert" // 美式甜点师
# ModelXiezhenOldMoney = "img2img_xiezhen_old_money" // old money
# ModelXiezhenSchool = "img2img_xiezhen_school" // 最美校园

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gc.go Normal file
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package huoshan
import (
"errors"
"strings"
"time"
"apigo.cc/ai"
"github.com/ssgo/u"
"github.com/volcengine/volc-sdk-golang/service/visual"
"github.com/volcengine/volc-sdk-golang/service/visual/model"
)
func getVisualClient(aiConf *ai.AIConfig) *visual.Visual {
ak, sk := getAKSK(aiConf)
vis := visual.NewInstance()
vis.Client.SetAccessKey(ak)
vis.Client.SetSecretKey(sk)
if aiConf.Extra["region"] != nil {
vis.SetRegion(u.String(aiConf.Extra["region"]))
}
if aiConf.Extra["host"] != nil {
vis.SetHost(u.String(aiConf.Extra["host"]))
}
return vis
}
func MakeImage(aiConf *ai.AIConfig, conf ai.ImageConfig) (ai.ImageResult, error) {
modelA := strings.SplitN(conf.Model, ":", 2)
data := map[string]any{
"req_key": modelA[0],
"prompt": conf.SystemPrompt + conf.Prompt,
"return_url": true,
}
if len(modelA) > 1 {
data["model_version"] = modelA[1]
}
if conf.NegativePrompt != "" {
data["negative_prompt"] = conf.NegativePrompt
}
if conf.Width > 0 {
data["width"] = conf.Width
}
if conf.Height > 0 {
data["height"] = conf.Height
}
if conf.Scale > 0 {
if conf.Scale < 1 {
// 取值 0-1 放大到 1-30
data["scale"] = conf.Scale * 30
} else {
data["scale"] = conf.Scale
}
}
if conf.Steps > 0 {
data["ddim_steps"] = conf.Steps
}
if len(conf.Ref) > 0 {
// 如果有参考图,自动切换到图生图模型
if strings.Contains(modelA[0], "t2i") {
data["req_key"] = strings.ReplaceAll(modelA[0], "t2i", "i2i")
}
// 根据参考图类型设置(url和base64只能2选1)
image_url := make([]string, 0)
binary_data_base64 := make([]string, 0)
for _, ref := range conf.Ref {
if strings.Contains(ref, "://") {
image_url = append(image_url, ref)
} else {
binary_data_base64 = append(binary_data_base64, ref)
}
}
if len(image_url) > 0 {
data["image_urls"] = conf.Ref
} else {
data["binary_data_base64"] = binary_data_base64
}
// 参考图权重设置
if conf.Cref > 0 || conf.Sref > 0 {
if strings.Contains(conf.Model, "ip_keep") {
// 人脸保持模型
if conf.Cref > 0 {
data["ref_id_weight"] = conf.Cref
}
if conf.Sref > 0 {
data["ref_ip_weight"] = conf.Sref
}
} else {
// 图生图模型
style_reference_args := map[string]any{"binary_data_index": 0}
if conf.Cref > 0 {
style_reference_args["id_weight"] = conf.Cref
}
if conf.Sref > 0 {
style_reference_args["style_weight"] = conf.Sref
}
data["style_reference_args"] = style_reference_args
}
}
}
// 其他参数
for k, v := range conf.Extra {
data[k] = v
}
// fmt.Println(u.BMagenta(u.JsonP(data)), 111)
t1 := time.Now().UnixMilli()
c := getVisualClient(aiConf)
respMap, status, err := c.CVProcess(data)
// fmt.Println(u.BCyan(u.JsonP(respMap)), 222)
resp := &model.VisualPubResult{}
u.Convert(respMap, resp)
t2 := time.Now().UnixMilli() - t1
if err != nil {
return ai.ImageResult{}, err
}
if status != 200 {
return ai.ImageResult{}, errors.New(u.String(resp.Message))
}
return ai.ImageResult{
Results: resp.Data.ImageUrls,
UsedTime: t2,
}, nil
}

20
go.mod
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@ -1,13 +1,16 @@
module apigo.cc/ai/huoshan
go 1.18
go 1.22
toolchain go1.22.1
require (
apigo.cc/gojs v0.0.1
github.com/ssgo/config v1.7.7
github.com/ssgo/log v1.7.7
apigo.cc/ai v0.0.1
apigo.cc/gojs v0.0.4
apigo.cc/gojs/console v0.0.1
github.com/ssgo/u v1.7.9
github.com/volcengine/volc-sdk-golang v1.0.178
github.com/volcengine/volc-sdk-golang v1.0.182
github.com/volcengine/volcengine-go-sdk v1.0.162
)
require (
@ -17,12 +20,15 @@ require (
)
require (
github.com/cenkalti/backoff/v4 v4.1.2 // indirect
github.com/cenkalti/backoff/v4 v4.3.0 // indirect
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/google/pprof v0.0.0-20241029153458-d1b30febd7db // indirect
github.com/google/uuid v1.6.0 // indirect
github.com/jmespath/go-jmespath v0.4.0 // indirect
github.com/ssgo/config v1.7.8 // indirect
github.com/ssgo/log 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

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package huoshan
import (
"apigo.cc/gojs"
_ "embed"
"github.com/ssgo/config"
"github.com/ssgo/log"
"github.com/ssgo/u"
)
//go:embed huoshan.ts
var huoshanTS string
type Conf struct {
AKey string
SKey string
}
var conf = Conf{}
var confAes = u.NewAes([]byte("?GQ$0K0GgLdO=f+~L68PLm$uhKr4'=tV"), []byte("VFs7@sK61cj^f?HZ"))
var keysIsSet = false
func SetSSKey(key, iv []byte) {
if !keysIsSet {
confAes = u.NewAes(key, iv)
keysIsSet = true
}
}
func init() {
obj := gojs.Map{
"name": "huoshan",
"image": RequireImage(),
}
config.LoadConfig("huoshan", &conf)
conf.AKey = confAes.DecryptUrlBase64ToString(conf.AKey)
conf.SKey = confAes.DecryptUrlBase64ToString(conf.SKey)
log.DefaultLogger.Info("Conf", "", conf)
gojs.Register("apigo.cc/ai/huoshan", gojs.Module{
Object: obj,
TsCode: huoshanTS,
Example: "",
})
}

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export default {
image: {
text2image,
image2image,
readImage,
base64
}
}
//about image
function text2image(prompt:string, option?:Object):string {return ""}
// image2image
// image able with base64, bin(byte[], what you get from "readImage"), urlurl must be written in an array like ["your url"]
function image2image(image, prompt:string, option?:Object):string {return ""}
function readImage(path:string):string {return ""}
// base64 written-in base64 functionyou can use what you want
// data give what you want to give
function base64(data):string {return ""}

119
image.go
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package huoshan
import (
"apigo.cc/gojs"
"apigo.cc/gojs/goja"
"errors"
"github.com/ssgo/log"
"github.com/ssgo/u"
"github.com/volcengine/volc-sdk-golang/service/visual"
"reflect"
)
func RequireImage() gojs.Map {
return map[string]interface{}{
"text2image": func(argsIn goja.FunctionCall, vm *goja.Runtime) goja.Value {
args := gojs.MakeArgs(&argsIn, vm).Check(1)
return vm.ToValue(T2IXL(args.Str(0), args.Map(1), vm))
},
"image2image": func(argsIn goja.FunctionCall, vm *goja.Runtime) goja.Value {
args := gojs.MakeArgs(&argsIn, vm).Check(2)
v := u.FinalValue(reflect.ValueOf(args.Arguments[0].Export()))
switch v.Type().Kind() {
case reflect.String:
option := args.Map(2)
if option == nil {
option = map[string]interface{}{}
}
option["binary_data_base64"] = []string{
args.Str(0),
}
return vm.ToValue(I2IXLbyUrl(nil, args.Str(1), option, vm))
case reflect.Slice:
vv := u.FinalValue(v.Index(0))
if vv.Type().Kind() == reflect.Uint8 {
option := args.Map(2)
if option == nil {
option = map[string]interface{}{}
}
option["binary_data_base64"] = []string{
u.Base64(args.Bytes(0)),
}
return vm.ToValue(I2IXLbyUrl(nil, args.Str(1), option, vm))
} else if vv.Type().Kind() == reflect.String {
arr := make([]string, 0)
u.Convert(args.Any(0), &arr)
return vm.ToValue(I2IXLbyUrl(arr, args.Str(1), args.Map(2), vm))
} else {
log.DefaultLogger.Error("image type is slice but not supported", "type", args.Arguments[0].ExportType().Kind().String(), "elemType", vv.Type().Kind().String())
panic(vm.NewGoError(errors.New(u.Red("image type is slice but not supported"))))
return nil
}
}
log.DefaultLogger.Error("image type not supported", "type", args.Arguments[0].ExportType().Kind().String())
panic(vm.NewGoError(errors.New(u.Red("image type not supported"))))
return nil
},
"readImage": func(argsIn goja.FunctionCall, vm *goja.Runtime) goja.Value {
args := gojs.MakeArgs(&argsIn, vm).Check(1)
if r, err := u.ReadFileBytes(args.Path(0)); err == nil {
return vm.ToValue(r)
} else {
panic(vm.NewGoError(err))
}
},
"base64": func(argsIn goja.FunctionCall, vm *goja.Runtime) goja.Value {
return vm.ToValue(u.Base64(u.Bytes(gojs.MakeArgs(&argsIn, vm).Check(1).Any(0))))
},
}
}
// T2IXL used t2i_xl_sft
//
// option 会覆盖已有参数可传空return_url不可更改
func T2IXL(prompt string, option map[string]interface{}, vm *goja.Runtime) []string {
vis := visual.NewInstance()
vis.Client.SetAccessKey(conf.AKey)
vis.Client.SetSecretKey(conf.SKey)
data := map[string]interface{}{
"req_key": "t2i_xl_sft",
"prompt": prompt,
}
if option != nil {
u.Convert(option, &data)
}
data["return_url"] = true
resp, status, err := vis.Text2ImgXLSft(data)
if status != 200 || err != nil {
log.DefaultLogger.Error("request error", status, err)
panic(vm.NewGoError(err))
return []string{}
}
return resp.Data.ImageUrls
}
// I2IXLbyUrl used t2i_xl_sft
// option 会覆盖已有参数可传空return_url不可更改
func I2IXLbyUrl(imageUrls []string, prompt string, option map[string]interface{}, vm *goja.Runtime) []string {
vis := visual.NewInstance()
vis.Client.SetAccessKey(conf.AKey)
vis.Client.SetSecretKey(conf.SKey)
data := map[string]interface{}{
"req_key": "i2i_xl_sft",
"prompt": prompt,
}
if imageUrls != nil {
data["image_urls"] = imageUrls
}
if option != nil {
u.Convert(option, &data)
}
data["return_url"] = true
resp, status, err := vis.Img2ImgXLSft(data)
if status != 200 || err != nil {
log.DefaultLogger.Error("request error", "status", status, "err", err, "resp", resp)
panic(vm.NewGoError(err))
return []string{}
}
return resp.Data.ImageUrls
}

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@ -1,224 +0,0 @@
package huoshan
import (
"bytes"
"context"
"encoding/binary"
"io"
"strings"
"time"
"apigo.cc/ai/llm/llm"
"github.com/volcengine/volcengine-go-sdk/service/arkruntime/model"
)
func (lm *LLM) FastAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
return lm.Ask(messages, llm.ChatConfig{
Model: ModelDoubaoLite32k,
}, callback)
}
func (lm *LLM) LongAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
return lm.Ask(messages, llm.ChatConfig{
Model: ModelDoubaoPro256k,
}, callback)
}
func (lm *LLM) BatterAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
return lm.Ask(messages, llm.ChatConfig{
Model: ModelDoubaoPro32k,
}, callback)
}
func (lm *LLM) BestAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
return lm.Ask(messages, llm.ChatConfig{
Model: ModelDoubaoPro256k,
}, callback)
}
func (lm *LLM) MultiAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
return lm.Ask(messages, llm.ChatConfig{
Model: ModelDoubaoLite32k,
}, callback)
}
func (lm *LLM) BestMultiAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
return lm.Ask(messages, llm.ChatConfig{
Model: ModelDoubaoPro32k,
}, callback)
}
func (lm *LLM) CodeInterpreterAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
return lm.Ask(messages, llm.ChatConfig{
Model: ModelDoubaoPro32k,
Tools: map[string]any{llm.ToolCodeInterpreter: nil},
}, callback)
}
func (lm *LLM) WebSearchAsk(messages []llm.ChatMessage, callback func(answer string)) (string, llm.Usage, error) {
return lm.Ask(messages, llm.ChatConfig{
Model: ModelDoubaoPro32k,
Tools: map[string]any{llm.ToolWebSearch: nil},
}, callback)
}
func (lm *LLM) Ask(messages []llm.ChatMessage, config llm.ChatConfig, callback func(answer string)) (string, llm.Usage, error) {
config.SetDefault(&lm.config.ChatConfig)
req := model.ChatCompletionRequest{
Model: config.GetModel(),
}
req.Messages = make([]*model.ChatCompletionMessage, len(messages))
for i, msg := range messages {
var contents []*model.ChatCompletionMessageContentPart
if msg.Contents != nil {
contents = make([]*model.ChatCompletionMessageContentPart, len(msg.Contents))
for j, inPart := range msg.Contents {
part := model.ChatCompletionMessageContentPart{}
part.Type = model.ChatCompletionMessageContentPartType(NameMap[inPart.Type])
switch inPart.Type {
case llm.TypeText:
part.Text = inPart.Content
case llm.TypeImage:
part.ImageURL = &model.ChatMessageImageURL{URL: inPart.Content}
//case llm.TypeVideo:
// part.VideoURL = &model.URLItem{URL: inPart.Content}
}
contents[j] = &part
}
}
if len(contents) == 1 && contents[0].Type == llm.TypeText {
req.Messages[i] = &model.ChatCompletionMessage{
Role: NameMap[msg.Role],
Content: &model.ChatCompletionMessageContent{
StringValue: &contents[0].Text,
},
}
} else {
req.Messages[i] = &model.ChatCompletionMessage{
Role: NameMap[msg.Role],
Content: &model.ChatCompletionMessageContent{
ListValue: contents,
},
}
}
}
// tools := config.GetTools()
// if len(tools) > 0 {
// req.Tools = make([]*model.Tool, 0)
// for name := range tools {
// switch name {
// case llm.ToolCodeInterpreter:
// req.Tools = append(req.Tools, &model.Tool{
// Type: ,
// })
// // cc.AddTool(zhipu.ChatCompletionToolCodeInterpreter{})
// case llm.ToolWebSearch:
// // cc.AddTool(zhipu.ChatCompletionToolWebBrowser{})
// }
// }
// }
if config.GetMaxTokens() != 0 {
req.MaxTokens = config.GetMaxTokens()
}
if config.GetTemperature() != 0 {
req.Temperature = float32(config.GetTemperature())
}
if config.GetTopP() != 0 {
req.TopP = float32(config.GetTopP())
}
c := lm.getChatClient()
t1 := time.Now().UnixMilli()
if callback != nil {
stream, err := c.CreateChatCompletionStream(context.Background(), req)
if err != nil {
return "", llm.Usage{}, err
}
out := make([]string, 0)
var outErr error
usage := llm.Usage{}
for {
recv, err := stream.Recv()
usage.AskTokens += int64(recv.Usage.PromptTokens)
usage.AnswerTokens += int64(recv.Usage.CompletionTokens)
usage.TotalTokens += int64(recv.Usage.TotalTokens)
if err == io.EOF {
break
}
if err != nil {
outErr = err
break
}
if len(recv.Choices) > 0 {
for _, ch := range recv.Choices {
text := ch.Delta.Content
out = append(out, text)
callback(text)
}
}
}
stream.Close()
usage.UsedTime = time.Now().UnixMilli() - t1
return strings.Join(out, ""), usage, outErr
} else {
r, err := c.CreateChatCompletion(context.Background(), req)
if err != nil {
return "", llm.Usage{}, err
}
t2 := time.Now().UnixMilli() - t1
results := make([]string, 0)
if r.Choices != nil {
for _, ch := range r.Choices {
results = append(results, *ch.Message.Content.StringValue)
}
}
return strings.Join(results, ""), llm.Usage{
AskTokens: int64(r.Usage.PromptTokens),
AnswerTokens: int64(r.Usage.CompletionTokens),
TotalTokens: int64(r.Usage.TotalTokens),
UsedTime: t2,
}, nil
}
}
func (lm *LLM) FastEmbedding(text string) ([]byte, llm.Usage, error) {
return lm.Embedding(text, ModelDoubaoEmbedding)
}
func (lm *LLM) BestEmbedding(text string) ([]byte, llm.Usage, error) {
return lm.Embedding(text, ModelDoubaoEmbeddingLarge)
}
func (lm *LLM) Embedding(text, modelName string) ([]byte, llm.Usage, error) {
c := lm.getChatClient()
// cc := c.Embedding(modelName)
req := model.EmbeddingRequestStrings{
Input: []string{text},
Model: modelName,
}
t1 := time.Now().UnixMilli()
if r, err := c.CreateEmbeddings(context.Background(), req); err == nil {
t2 := time.Now().UnixMilli() - t1
buf := new(bytes.Buffer)
if r.Data != nil {
for _, ch := range r.Data {
for _, v := range ch.Embedding {
_ = binary.Write(buf, binary.LittleEndian, float32(v))
}
}
}
return buf.Bytes(), llm.Usage{
AskTokens: int64(r.Usage.PromptTokens),
AnswerTokens: int64(r.Usage.CompletionTokens),
TotalTokens: int64(r.Usage.TotalTokens),
UsedTime: t2,
}, nil
} else {
return nil, llm.Usage{}, err
}
}

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@ -1,96 +0,0 @@
package huoshan
import (
"strings"
"apigo.cc/ai/llm/llm"
"github.com/volcengine/volc-sdk-golang/service/visual"
"github.com/volcengine/volcengine-go-sdk/service/arkruntime"
"github.com/volcengine/volcengine-go-sdk/service/arkruntime/model"
)
type LLM struct {
config llm.Config
}
var NameMap = map[string]string{
llm.TypeText: string(model.ChatCompletionMessageContentPartTypeText),
llm.TypeImage: string(model.ChatCompletionMessageContentPartTypeImageURL),
//llm.TypeVideo: string(model.ChatCompletionMessageContentPartTypeVideoURL),
llm.RoleSystem: model.ChatMessageRoleSystem,
llm.RoleUser: model.ChatMessageRoleUser,
llm.RoleAssistant: model.ChatMessageRoleAssistant,
llm.RoleTool: model.ChatMessageRoleTool,
}
const (
ModelDoubaoLite4k = "Doubao-lite-4k"
ModelDoubaoLite32k = "Doubao-lite-32k"
ModelDoubaoLite128k = "Doubao-lite-128k"
ModelDoubaoPro4k = "Doubao-pro-4k"
ModelDoubaoPro32k = "Doubao-pro-32k"
ModelDoubaoPro128k = "Doubao-pro-128k"
ModelDoubaoPro256k = "Doubao-pro-256k"
ModelDoubaoEmbedding = "Doubao-embedding"
ModelDoubaoEmbeddingLarge = "Doubao-embedding-large"
ModelT2I2L = "high_aes_general_v20_L:general_v2.0_L"
ModelT2I2S = "high_aes_general_v20:general_v2.0"
ModelT2IXL = "t2i_xl_sft"
ModelI2IXL = "i2i_xl_sft"
ModelT2I14 = "high_aes_general_v14"
ModelI2I14IP = "high_aes_general_v14_ip_keep"
ModelAnime13 = "high_aes:anime_v1.3"
ModelAnime131 = "high_aes:anime_v1.3.1"
ModelPhotoverseAmericanComics = "img2img_photoverse_american_comics" // 美漫风格
ModelPhotoverseExecutiveIDPhoto = "img2img_photoverse_executive_ID_photo" // 商务证件照
ModelPhotoverse3dWeird = "img2img_photoverse_3d_weird" // 3d人偶
ModelPhotoverseCyberpunk = "img2img_photoverse_cyberpunk" // 赛博朋克
ModelXiezhenGubao = "img2img_xiezhen_gubao" // 古堡
ModelXiezhenBabiNiuzai = "img2img_xiezhen_babi_niuzai" // 芭比牛仔
ModelXiezhenBathrobe = "img2img_xiezhen_bathrobe" // 浴袍风格
ModelXiezhenButterflyMachin = "img2img_xiezhen_butterfly_machin" // 蝴蝶机械
ModelXiezhenZhichangzhengjianzhao = "img2img_xiezhen_zhichangzhengjianzhao" // 职场证件照
ModelXiezhenChristmas = "img2img_xiezhen_christmas" // 圣诞
ModelXiezhenDessert = "img2img_xiezhen_dessert" // 美式甜点师
ModelXiezhenOldMoney = "img2img_xiezhen_old_money" // old money
ModelXiezhenSchool = "img2img_xiezhen_school" // 最美校园
)
func (lm *LLM) Support() llm.Support {
return llm.Support{
Ask: true,
AskWithImage: true,
AskWithVideo: false,
AskWithCodeInterpreter: false,
AskWithWebSearch: false,
MakeImage: true,
MakeVideo: false,
Models: []string{ModelDoubaoLite4k, ModelDoubaoLite32k, ModelDoubaoLite128k, ModelDoubaoPro4k, ModelDoubaoPro32k, ModelDoubaoPro128k, ModelDoubaoPro256k, ModelDoubaoEmbedding, ModelDoubaoEmbeddingLarge, ModelT2I2L, ModelT2I2S, ModelT2IXL, ModelI2IXL, ModelT2I14, ModelI2I14IP, ModelAnime13, ModelAnime131, ModelPhotoverseAmericanComics, ModelPhotoverseExecutiveIDPhoto, ModelPhotoverse3dWeird, ModelPhotoverseCyberpunk, ModelXiezhenGubao, ModelXiezhenBabiNiuzai, ModelXiezhenBathrobe, ModelXiezhenButterflyMachin, ModelXiezhenZhichangzhengjianzhao, ModelXiezhenChristmas, ModelXiezhenDessert, ModelXiezhenOldMoney, ModelXiezhenSchool},
}
}
func (lm *LLM) getChatClient() *arkruntime.Client {
opt := make([]arkruntime.ConfigOption, 0)
if lm.config.Endpoint != "" {
opt = append(opt, arkruntime.WithBaseUrl(lm.config.Endpoint))
}
return arkruntime.NewClientWithAkSk(strings.SplitN(lm.config.ApiKey, ",", 2)[0], opt...)
}
func (lm *LLM) getGCClient() *visual.Visual {
keys := strings.SplitN(lm.config.ApiKey, ",", 2)
if len(keys) == 1 {
keys = append(keys, "")
}
vis := visual.NewInstance()
vis.Client.SetAccessKey(keys[0])
vis.Client.SetSecretKey(keys[1])
return vis
}
// 因为火山平台的配置过于繁琐每个模型都要创建单独的endpoint所以暂时放弃对豆包大模型的支持
// func init() {
// llm.Register("huoshan", func(config llm.Config) llm.LLM {
// return &LLM{config: config}
// })
// }

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@ -1,87 +0,0 @@
package huoshan
import (
"errors"
"strings"
"time"
"apigo.cc/ai/llm/llm"
"github.com/ssgo/u"
"github.com/volcengine/volc-sdk-golang/service/visual/model"
)
func (lm *LLM) FastMakeImage(prompt string, config llm.GCConfig) ([]string, llm.Usage, error) {
config.Model = ModelT2I14
if config.Ref != "" {
config.Model = ModelI2I14IP
}
return lm.MakeImage(prompt, config)
}
func (lm *LLM) BestMakeImage(prompt string, config llm.GCConfig) ([]string, llm.Usage, error) {
config.Model = ModelT2IXL
if config.Ref != "" {
config.Model = ModelI2IXL
}
return lm.MakeImage(prompt, config)
}
func (lm *LLM) MakeImage(prompt string, config llm.GCConfig) ([]string, llm.Usage, error) {
config.SetDefault(&lm.config.GCConfig)
modelA := strings.SplitN(config.GetModel(), ":", 2)
sizeA := strings.SplitN(config.GetSize(), "x", 2)
if len(sizeA) == 1 {
sizeA = append(sizeA, sizeA[0])
}
ref := config.GetRef()
vis := lm.getGCClient()
data := map[string]any{
"req_key": modelA[0],
"prompt": prompt,
"width": u.Int(sizeA[0]),
"height": u.Int(sizeA[1]),
"return_url": true,
}
if len(modelA) > 1 {
data["model_version"] = modelA[1]
}
// TODO llm 支持动态额外参数
t1 := time.Now().UnixMilli()
var resp *model.VisualPubResult
var status int
var err error
if ref == "" {
resp, status, err = vis.Text2ImgXLSft(data)
} else {
if strings.Contains(ref, "://") {
data["image_url"] = []string{ref}
} else {
data["binary_data_base64"] = []string{ref}
}
resp, status, err = vis.Img2ImgXLSft(data)
}
t2 := time.Now().UnixMilli() - t1
if err != nil {
return nil, llm.Usage{}, err
}
if status != 200 {
return nil, llm.Usage{}, errors.New(resp.Message)
}
return resp.Data.ImageUrls, llm.Usage{
UsedTime: t2,
}, nil
}
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{}, errors.New("not support")
}

21
test.go
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@ -1,21 +0,0 @@
package huoshan
import (
"apigo.cc/gojs"
"fmt"
"github.com/ssgo/u"
"testing"
)
func TestExport(t *testing.T) {
gojs.ExportForDev()
}
func TestLLM(t *testing.T) {
r, err := gojs.RunFile("test.js")
if err != nil {
t.Fatal(err)
}
fmt.Println()
fmt.Println(u.JsonP(r))
}

24
test.js
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@ -1,24 +0,0 @@
import {image} from 'apigo.cc/ai/huoshan'
function main() {
let a = image.image2image(image.base64(image.readImage("img_2.jpeg")), "在吃冰淇淋", {
style_reference_args: {
id_weight: 1.0
}
})
let b = image.image2image(image.readImage("img_2.jpeg"), "在吃冰淇淋", {
style_reference_args: {
id_weight: 1.0
}
})
let c = image.image2image(["一个url"], "在吃冰淇淋", {
style_reference_args: {
id_weight: 1.0
}
})
return {
a: a,
b: b,
c: c
}
}