feat: add ai-agent plugin (#1192)

This commit is contained in:
xingyunyang01
2024-08-15 17:05:25 +08:00
committed by GitHub
parent 5a854b990b
commit 8f7c10ee5f
8 changed files with 1192 additions and 0 deletions

View File

@@ -0,0 +1,321 @@
package main
import (
"encoding/json"
"fmt"
"net/http"
"regexp"
"strings"
"github.com/alibaba/higress/plugins/wasm-go/extensions/ai-agent/dashscope"
prompttpl "github.com/alibaba/higress/plugins/wasm-go/extensions/ai-agent/promptTpl"
"github.com/alibaba/higress/plugins/wasm-go/pkg/wrapper"
"github.com/higress-group/proxy-wasm-go-sdk/proxywasm"
"github.com/higress-group/proxy-wasm-go-sdk/proxywasm/types"
"github.com/tidwall/gjson"
)
func main() {
wrapper.SetCtx(
"ai-agent",
wrapper.ParseConfigBy(parseConfig),
wrapper.ProcessRequestHeadersBy(onHttpRequestHeaders),
wrapper.ProcessRequestBodyBy(onHttpRequestBody),
wrapper.ProcessResponseHeadersBy(onHttpResponseHeaders),
wrapper.ProcessResponseBodyBy(onHttpResponseBody),
)
}
func parseConfig(gjson gjson.Result, c *PluginConfig, log wrapper.Log) error {
initResponsePromptTpl(gjson, c)
err := initAPIs(gjson, c)
if err != nil {
return err
}
initReActPromptTpl(gjson, c)
initLLMClient(gjson, c)
return nil
}
func onHttpRequestHeaders(ctx wrapper.HttpContext, config PluginConfig, log wrapper.Log) types.Action {
return types.ActionContinue
}
func firstReq(config PluginConfig, prompt string, rawRequest Request, log wrapper.Log) types.Action {
log.Debugf("[onHttpRequestBody] firstreq:%s", prompt)
var userMessage Message
userMessage.Role = "user"
userMessage.Content = prompt
newMessages := []Message{userMessage}
rawRequest.Messages = newMessages
//replace old message and resume request qwen
newbody, err := json.Marshal(rawRequest)
if err != nil {
return types.ActionContinue
} else {
log.Debugf("[onHttpRequestBody] newRequestBody: ", string(newbody))
err := proxywasm.ReplaceHttpRequestBody(newbody)
if err != nil {
log.Debug("替换失败")
proxywasm.SendHttpResponse(200, [][2]string{{"content-type", "application/json; charset=utf-8"}}, []byte(fmt.Sprintf(config.ReturnResponseTemplate, "替换失败"+err.Error())), -1)
}
log.Debug("[onHttpRequestBody] request替换成功")
return types.ActionContinue
}
}
func onHttpRequestBody(ctx wrapper.HttpContext, config PluginConfig, body []byte, log wrapper.Log) types.Action {
log.Debug("onHttpRequestBody start")
defer log.Debug("onHttpRequestBody end")
//拿到请求
var rawRequest Request
err := json.Unmarshal(body, &rawRequest)
if err != nil {
log.Debugf("[onHttpRequestBody] body json umarshal err: ", err.Error())
return types.ActionContinue
}
log.Debugf("onHttpRequestBody rawRequest: %v", rawRequest)
//获取用户query
var query string
messageLength := len(rawRequest.Messages)
log.Debugf("[onHttpRequestBody] messageLength: %s\n", messageLength)
if messageLength > 0 {
query = rawRequest.Messages[messageLength-1].Content
log.Debugf("[onHttpRequestBody] query: %s\n", query)
} else {
return types.ActionContinue
}
if query == "" {
log.Debug("parse query from request body failed")
return types.ActionContinue
}
//拼装agent prompt模板
tool_desc := make([]string, 0)
tool_names := make([]string, 0)
for _, api_param := range config.API_Param {
for _, tool_param := range api_param.Tool_Param {
tool_desc = append(tool_desc, fmt.Sprintf(prompttpl.TOOL_DESC, tool_param.ToolName, tool_param.Desciption, tool_param.Desciption, tool_param.Desciption, tool_param.Parameter), "\n")
tool_names = append(tool_names, tool_param.ToolName)
}
}
var prompt string
if config.PromptTemplate.Language == "CH" {
prompt = fmt.Sprintf(prompttpl.CH_Template,
tool_desc,
config.PromptTemplate.CHTemplate.Question,
config.PromptTemplate.CHTemplate.Thought1,
tool_names,
config.PromptTemplate.CHTemplate.ActionInput,
config.PromptTemplate.CHTemplate.Observation,
config.PromptTemplate.CHTemplate.FinalAnswer,
config.PromptTemplate.CHTemplate.Begin,
query)
} else {
prompt = fmt.Sprintf(prompttpl.EN_Template,
tool_desc,
config.PromptTemplate.ENTemplate.Question,
config.PromptTemplate.ENTemplate.Thought1,
tool_names,
config.PromptTemplate.ENTemplate.ActionInput,
config.PromptTemplate.ENTemplate.Observation,
config.PromptTemplate.ENTemplate.FinalAnswer,
config.PromptTemplate.ENTemplate.Begin,
query)
}
//将请求加入到历史对话存储器中
dashscope.MessageStore.AddForUser(prompt)
//开始第一次请求
ret := firstReq(config, prompt, rawRequest, log)
return ret
}
func onHttpResponseHeaders(ctx wrapper.HttpContext, config PluginConfig, log wrapper.Log) types.Action {
return types.ActionContinue
}
func toolsCall(config PluginConfig, content string, rawResponse Response, log wrapper.Log) types.Action {
dashscope.MessageStore.AddForAssistant(content)
//得到最终答案
regexPattern := regexp.MustCompile(`Final Answer:(.*)`)
finalAnswer := regexPattern.FindStringSubmatch(content)
if len(finalAnswer) > 1 {
return types.ActionContinue
}
//没得到最终答案
regexAction := regexp.MustCompile(`Action:\s*(.*?)[.\n]`)
regexActionInput := regexp.MustCompile(`Action Input:\s*(.*)`)
action := regexAction.FindStringSubmatch(content)
actionInput := regexActionInput.FindStringSubmatch(content)
if len(action) > 1 && len(actionInput) > 1 {
var url string
var headers [][2]string
var apiClient wrapper.HttpClient
var method string
for i, api_param := range config.API_Param {
for _, tool_param := range api_param.Tool_Param {
if action[1] == tool_param.ToolName {
log.Infof("calls %s\n", tool_param.ToolName)
log.Infof("actionInput[1]: %s", actionInput[1])
//将大模型需要的参数反序列化
var data map[string]interface{}
if err := json.Unmarshal([]byte(actionInput[1]), &data); err != nil {
log.Debugf("Error: %s\n", err.Error())
return types.ActionContinue
}
var args string
for i, param := range tool_param.ParamName { //从参数列表中取出参数
if i == 0 {
args = "?" + param + "=%s"
args = fmt.Sprintf(args, data[param])
} else {
args = args + "&" + param + "=%s"
args = fmt.Sprintf(args, data[param])
}
}
url = api_param.URL + tool_param.Path + args
if api_param.APIKey.Name != "" {
if api_param.APIKey.In == "query" {
headers = nil
key := "&" + api_param.APIKey.Name + "=" + api_param.APIKey.Value
url += key
} else if api_param.APIKey.In == "header" {
headers = [][2]string{{"Content-Type", "application/json"}, {"Authorization", api_param.APIKey.Name + " " + api_param.APIKey.Value}}
}
}
log.Infof("url: %s\n", url)
method = tool_param.Method
apiClient = config.APIClient[i]
break
}
}
}
if method == "get" {
//调用工具
err := apiClient.Get(
url,
headers,
func(statusCode int, responseHeaders http.Header, responseBody []byte) {
if statusCode != http.StatusOK {
log.Debugf("statusCode: %d\n", statusCode)
}
log.Info("========函数返回结果========")
log.Infof(string(responseBody))
Observation := "Observation: " + string(responseBody)
dashscope.MessageStore.AddForUser(Observation)
completion := dashscope.Completion{
Model: config.LLMInfo.Model,
Messages: dashscope.MessageStore,
}
headers := [][2]string{{"Content-Type", "application/json"}, {"Authorization", "Bearer " + config.LLMInfo.APIKey}}
completionSerialized, _ := json.Marshal(completion)
err := config.LLMClient.Post(
config.LLMInfo.Path,
headers,
completionSerialized,
func(statusCode int, responseHeaders http.Header, responseBody []byte) {
//得到gpt的返回结果
var responseCompletion dashscope.CompletionResponse
_ = json.Unmarshal(responseBody, &responseCompletion)
log.Infof("[toolsCall] content: ", responseCompletion.Choices[0].Message.Content)
if responseCompletion.Choices[0].Message.Content != "" {
retType := toolsCall(config, responseCompletion.Choices[0].Message.Content, rawResponse, log)
if retType == types.ActionContinue {
//得到了Final Answer
var assistantMessage Message
assistantMessage.Role = "assistant"
startIndex := strings.Index(responseCompletion.Choices[0].Message.Content, "Final Answer:")
if startIndex != -1 {
startIndex += len("Final Answer:") // 移动到"Final Answer:"之后的位置
extractedText := responseCompletion.Choices[0].Message.Content[startIndex:]
assistantMessage.Content = extractedText
}
//assistantMessage.Content = responseCompletion.Choices[0].Message.Content
rawResponse.Choices[0].Message = assistantMessage
newbody, err := json.Marshal(rawResponse)
if err != nil {
proxywasm.ResumeHttpResponse()
return
} else {
log.Infof("[onHttpResponseBody] newResponseBody: ", string(newbody))
proxywasm.ReplaceHttpResponseBody(newbody)
log.Debug("[onHttpResponseBody] response替换成功")
proxywasm.ResumeHttpResponse()
}
}
} else {
proxywasm.ResumeHttpRequest()
}
}, 50000)
if err != nil {
log.Debugf("[onHttpRequestBody] completion err: %s", err.Error())
proxywasm.ResumeHttpRequest()
}
}, 50000)
if err != nil {
log.Debugf("tool calls error: %s\n", err.Error())
proxywasm.ResumeHttpRequest()
}
} else {
return types.ActionContinue
}
}
return types.ActionPause
}
// 从response接收到firstreq的大模型返回
func onHttpResponseBody(ctx wrapper.HttpContext, config PluginConfig, body []byte, log wrapper.Log) types.Action {
log.Debugf("onHttpResponseBody start")
defer log.Debugf("onHttpResponseBody end")
//初始化接收gpt返回内容的结构体
var rawResponse Response
err := json.Unmarshal(body, &rawResponse)
if err != nil {
log.Debugf("[onHttpResponseBody] body to json err: %s", err.Error())
return types.ActionContinue
}
log.Infof("first content: %s\n", rawResponse.Choices[0].Message.Content)
//如果gpt返回的内容不是空的
if rawResponse.Choices[0].Message.Content != "" {
//进入agent的循环思考工具调用的过程中
return toolsCall(config, rawResponse.Choices[0].Message.Content, rawResponse, log)
} else {
return types.ActionContinue
}
}