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2026-07-13 13:24:55 +08:00

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/*
* Copyright 2025 coze-dev Authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package qa
import (
"context"
"errors"
"fmt"
"slices"
"strconv"
"strings"
"unicode"
"github.com/cloudwego/eino/compose"
"github.com/cloudwego/eino/schema"
"github.com/coze-dev/coze-studio/backend/bizpkg/llm/modelbuilder"
"github.com/coze-dev/coze-studio/backend/domain/workflow"
"github.com/coze-dev/coze-studio/backend/domain/workflow/entity"
"github.com/coze-dev/coze-studio/backend/domain/workflow/entity/vo"
"github.com/coze-dev/coze-studio/backend/domain/workflow/internal/canvas/convert"
"github.com/coze-dev/coze-studio/backend/domain/workflow/internal/nodes"
schema2 "github.com/coze-dev/coze-studio/backend/domain/workflow/internal/schema"
"github.com/coze-dev/coze-studio/backend/pkg/lang/ptr"
"github.com/coze-dev/coze-studio/backend/pkg/lang/ternary"
"github.com/coze-dev/coze-studio/backend/pkg/logs"
"github.com/coze-dev/coze-studio/backend/pkg/sonic"
"github.com/coze-dev/coze-studio/backend/types/errno"
)
type QuestionAnswer struct {
model modelbuilder.BaseChatModel
nodeMeta entity.NodeTypeMeta
questionTpl string
answerType AnswerType
choiceType ChoiceType
fixedChoices []string
needExtractFromAnswer bool
additionalSystemPromptTpl string
maxAnswerCount int
nodeKey vo.NodeKey
outputFields map[string]*vo.TypeInfo
}
type Config struct {
QuestionTpl string
AnswerType AnswerType
ChoiceType ChoiceType
FixedChoices []string
// used for intent recognize if answer by choices and given a custom answer, as well as for extracting structured output from user response
LLMParams *vo.LLMParams
// the following are required if AnswerType is AnswerDirectly and needs to extract from answer
ExtractFromAnswer bool
AdditionalSystemPromptTpl string
MaxAnswerCount int
}
func (c *Config) Adapt(_ context.Context, n *vo.Node, _ ...nodes.AdaptOption) (*schema2.NodeSchema, error) {
ns := &schema2.NodeSchema{
Key: vo.NodeKey(n.ID),
Type: entity.NodeTypeQuestionAnswer,
Name: n.Data.Meta.Title,
Configs: c,
}
qaConf := n.Data.Inputs.QA
if qaConf == nil {
return nil, fmt.Errorf("qa config is nil")
}
c.QuestionTpl = qaConf.Question
var llmParams *vo.LLMParams
if n.Data.Inputs.LLMParam != nil {
llmParamBytes, err := sonic.Marshal(n.Data.Inputs.LLMParam)
if err != nil {
return nil, err
}
var qaLLMParams vo.SimpleLLMParam
err = sonic.Unmarshal(llmParamBytes, &qaLLMParams)
if err != nil {
return nil, err
}
llmParams, err = convertLLMParams(qaLLMParams)
if err != nil {
return nil, err
}
c.LLMParams = llmParams
}
answerType, err := convertAnswerType(qaConf.AnswerType)
if err != nil {
return nil, err
}
c.AnswerType = answerType
var choiceType ChoiceType
if len(qaConf.OptionType) > 0 {
choiceType, err = convertChoiceType(qaConf.OptionType)
if err != nil {
return nil, err
}
c.ChoiceType = choiceType
}
if answerType == AnswerByChoices {
switch choiceType {
case FixedChoices:
var options []string
for _, option := range qaConf.Options {
options = append(options, option.Name)
}
c.FixedChoices = options
case DynamicChoices:
inputSources, err := convert.CanvasBlockInputToFieldInfo(qaConf.DynamicOption, compose.FieldPath{DynamicChoicesKey}, n.Parent())
if err != nil {
return nil, err
}
ns.AddInputSource(inputSources...)
inputTypes, err := convert.CanvasBlockInputToTypeInfo(qaConf.DynamicOption)
if err != nil {
return nil, err
}
ns.SetInputType(DynamicChoicesKey, inputTypes)
default:
return nil, fmt.Errorf("qa node is answer by options, but option type not provided")
}
} else if answerType == AnswerDirectly {
c.ExtractFromAnswer = qaConf.ExtractOutput
if qaConf.ExtractOutput {
if llmParams == nil {
return nil, fmt.Errorf("qa node needs to extract from answer, but LLMParams not provided")
}
c.AdditionalSystemPromptTpl = llmParams.SystemPrompt
c.MaxAnswerCount = qaConf.Limit
if err = convert.SetOutputTypesForNodeSchema(n, ns); err != nil {
return nil, err
}
}
}
if err = convert.SetInputsForNodeSchema(n, ns); err != nil {
return nil, err
}
return ns, nil
}
func convertLLMParams(params vo.SimpleLLMParam) (*vo.LLMParams, error) {
p := &vo.LLMParams{}
p.ModelName = params.ModelName
p.ModelType = params.ModelType
p.Temperature = &params.Temperature
p.MaxTokens = params.MaxTokens
p.TopP = &params.TopP
p.ResponseFormat = params.ResponseFormat
p.SystemPrompt = params.SystemPrompt
return p, nil
}
func convertAnswerType(t vo.QAAnswerType) (AnswerType, error) {
switch t {
case vo.QAAnswerTypeOption:
return AnswerByChoices, nil
case vo.QAAnswerTypeText:
return AnswerDirectly, nil
default:
return "", fmt.Errorf("invalid QAAnswerType: %s", t)
}
}
func convertChoiceType(t vo.QAOptionType) (ChoiceType, error) {
switch t {
case vo.QAOptionTypeStatic:
return FixedChoices, nil
case vo.QAOptionTypeDynamic:
return DynamicChoices, nil
default:
return "", fmt.Errorf("invalid QAOptionType: %s", t)
}
}
func (c *Config) Build(ctx context.Context, ns *schema2.NodeSchema, _ ...schema2.BuildOption) (any, error) {
if c.AnswerType == AnswerDirectly {
if c.ExtractFromAnswer {
if c.LLMParams == nil {
return nil, errors.New("model is required when extract from answer")
}
if len(ns.OutputTypes) == 0 {
return nil, errors.New("output fields is required when extract from answer")
}
}
} else if c.AnswerType == AnswerByChoices {
if c.ChoiceType == FixedChoices {
if len(c.FixedChoices) == 0 {
return nil, errors.New("fixed choices is required when extract from answer")
}
}
} else {
return nil, fmt.Errorf("unknown answer type: %s", c.AnswerType)
}
nodeMeta := entity.NodeMetaByNodeType(entity.NodeTypeQuestionAnswer)
if nodeMeta == nil {
return nil, errors.New("node meta not found for question answer")
}
var (
m modelbuilder.BaseChatModel
err error
)
if c.LLMParams != nil {
m, _, err = modelbuilder.BuildModelByID(ctx, c.LLMParams.ModelType, c.LLMParams.ToModelBuilderLLMParams())
if err != nil {
return nil, err
}
}
return &QuestionAnswer{
model: m,
nodeMeta: *nodeMeta,
questionTpl: c.QuestionTpl,
answerType: c.AnswerType,
choiceType: c.ChoiceType,
fixedChoices: c.FixedChoices,
needExtractFromAnswer: c.ExtractFromAnswer,
additionalSystemPromptTpl: c.AdditionalSystemPromptTpl,
maxAnswerCount: c.MaxAnswerCount,
nodeKey: ns.Key,
outputFields: ns.OutputTypes,
}, nil
}
func (c *Config) BuildBranch(_ context.Context) (
func(ctx context.Context, nodeOutput map[string]any) (int64, bool, error), bool) {
if c.AnswerType != AnswerByChoices {
return nil, false
}
return func(ctx context.Context, nodeOutput map[string]any) (int64, bool, error) {
optionID, ok := nodeOutput[OptionIDKey]
if !ok {
return -1, false, fmt.Errorf("failed to take option id from input map: %v", nodeOutput)
}
if c.ChoiceType == DynamicChoices {
if optionID.(string) == "other" {
return -1, true, nil
} else {
return 0, false, nil
}
}
if optionID.(string) == "other" {
return -1, true, nil
}
optionIDInt, ok := AlphabetToInt(optionID.(string))
if !ok {
return -1, false, fmt.Errorf("failed to convert option id from input map: %v", optionID)
}
return optionIDInt, false, nil
}, true
}
func (c *Config) ExpectPorts(_ context.Context, n *vo.Node) (expects []string) {
if n.Data.Inputs.QA.AnswerType != vo.QAAnswerTypeOption {
return expects
}
if n.Data.Inputs.QA.OptionType == vo.QAOptionTypeStatic {
for index := range n.Data.Inputs.QA.Options {
expects = append(expects, fmt.Sprintf(schema2.PortBranchFormat, index))
}
expects = append(expects, schema2.PortDefault)
return expects
}
if n.Data.Inputs.QA.OptionType == vo.QAOptionTypeDynamic {
expects = append(expects, fmt.Sprintf(schema2.PortBranchFormat, 0))
expects = append(expects, schema2.PortDefault)
}
return expects
}
func (c *Config) RequireCheckpoint() bool {
return true
}
type AnswerType string
const (
AnswerDirectly AnswerType = "directly"
AnswerByChoices AnswerType = "by_choices"
)
type ChoiceType string
const (
FixedChoices ChoiceType = "fixed"
DynamicChoices ChoiceType = "dynamic"
)
const (
DynamicChoicesKey = "dynamic_option"
QuestionsKey = "$questions"
AnswersKey = "$answers"
UserResponseKey = "USER_RESPONSE"
OptionIDKey = "optionId"
OptionContentKey = "optionContent"
)
const (
extractSystemPrompt = `# 角色
你是一个参数提取 agent,你的工作是从用户的回答中提取出多个字段的值,每个字段遵循以下规则
# 字段说明
%s
## 输出要求
- 严格以 json 格式返回答案。
- 严格确保答案采用有效的 JSON 格式。
- 按照字段说明提取出字段的值,将已经提取到的字段放在 fields 字段
- 对于未提取到的<必填字段>生成一个新的追问问题question
- 确保在追问问题中只包含所有未提取的<必填字段>
- 不要重复问之前问过的问题
- 问题的语种请和用户的输入保持一致,如英文、中文等
- 输出按照下面结构体格式返回,包含提取到的字段或者追问的问题
- 不要回复和提取无关的问题
type Output struct {
fields FieldInfo // According to the field description, the fields that have been extracted
question string // Follow-up question for the next round
}`
extractUserPromptSuffix = `
- 严格以 json 格式返回答案。
- 严格确保答案采用有效的 JSON 格式。
- - 必填字段没有获取全则继续追问
- 必填字段: %s
%s
`
additionalPersona = `
追问人设设定: %s
`
choiceIntentDetectPrompt = `# Role
You are a semantic matching expert, good at analyzing the option that the user wants to choose based on the current context.
##Skill
Skill 1: Clearly identify which of the following options the user's reply is semantically closest to:
%s
##Restrictions
Strictly identify the intention and select the most suitable option. You can only reply with the option_id and no other content. If you think there is no suitable option, output -1
##Output format
Note: You can only output the id or -1. Your output can only be a pure number and no other content (including the reason)!`
)
type Question struct {
Question string
Choices []string
}
type namedOpt struct {
Name string `json:"name"`
}
type optionContent struct {
Options []namedOpt `json:"options"`
Question string `json:"question"`
}
type message struct {
Type string `json:"type"`
ContentType string `json:"content_type"`
Content any `json:"content"` // either optionContent or string
ID string `json:"id,omitempty"`
}
const (
QuestionKey = "question_key"
ChoicesKey = "choices_key"
)
// Invoke formats the question (optionally with choices), interrupts, then extracts the answer.
// input: the references by input fields, as well as the dynamic choices array if needed.
// output: USER_RESPONSE for direct answer, structured output if needs to extract from answer, and option ID / content for answer by choices.
func (q *QuestionAnswer) Invoke(ctx context.Context, in map[string]any) (out map[string]any, err error) {
var (
questions []map[string]any
answers []string
isFirst bool
interruptedButNotResumed bool
)
questions, answers, isFirst, interruptedButNotResumed, err = q.extractCurrentState(ctx)
if err != nil {
return nil, err
}
if interruptedButNotResumed { // previously interrupted but not resumed this time, interrupt immediately
return nil, compose.InterruptAndRerun
}
out = make(map[string]any)
out[QuestionsKey] = questions
out[AnswersKey] = answers
switch q.answerType {
case AnswerDirectly:
if isFirst { // first execution, ask the question
// format the question. Which is common to all use cases
firstQuestion, err := nodes.TemplateRender(q.questionTpl, in)
if err != nil {
return nil, err
}
return nil, q.interrupt(ctx, firstQuestion, nil, nil, nil)
}
if q.needExtractFromAnswer {
return q.extractFromAnswer(ctx, in, questions, answers)
}
out[UserResponseKey] = answers[0]
return out, nil
case AnswerByChoices:
if !isFirst {
lastAnswer := answers[len(answers)-1]
lastQuestion := questions[len(questions)-1]
choicesAny := lastQuestion[ChoicesKey].([]string)
choices := make([]string, len(choicesAny))
for i := range choicesAny {
choices[i] = choicesAny[i]
}
for i, choice := range choices {
if lastAnswer == choice {
out[OptionIDKey] = intToAlphabet(i)
out[OptionContentKey] = choice
return out, nil
}
}
index, err := q.intentDetect(ctx, lastAnswer, choices)
if err != nil {
return nil, err
}
if index >= 0 {
out[OptionIDKey] = intToAlphabet(index)
out[OptionContentKey] = choices[index]
return out, nil
}
out[OptionIDKey] = "other"
out[OptionContentKey] = lastAnswer
return out, nil
}
// format the question. Which is common to all use cases
firstQuestion, err := nodes.TemplateRender(q.questionTpl, in)
if err != nil {
return nil, err
}
var formattedChoices []string
switch q.choiceType {
case FixedChoices:
for _, choice := range q.fixedChoices {
formattedChoice, err := nodes.TemplateRender(choice, in)
if err != nil {
return nil, err
}
formattedChoices = append(formattedChoices, formattedChoice)
}
case DynamicChoices:
dynamicChoices, ok := nodes.TakeMapValue(in, compose.FieldPath{DynamicChoicesKey})
if !ok || len(dynamicChoices.([]any)) == 0 {
return nil, vo.NewError(errno.ErrQuestionOptionsEmpty)
}
const maxDynamicChoices = 26
for i, choice := range dynamicChoices.([]any) {
if i >= maxDynamicChoices {
break // take first 26 choices, discard the others
}
c := choice.(string)
formattedChoices = append(formattedChoices, c)
}
default:
return nil, fmt.Errorf("unknown choice type: %s", q.choiceType)
}
return nil, q.interrupt(ctx, firstQuestion, formattedChoices, nil, nil)
default:
return nil, fmt.Errorf("unknown answer type: %s", q.answerType)
}
}
func (q *QuestionAnswer) extractFromAnswer(ctx context.Context, in map[string]any, questions []map[string]any,
answers []string) (map[string]any, error) {
fieldInfo := "FieldInfo"
s, err := vo.TypeInfoToJSONSchema(q.outputFields, &fieldInfo)
if err != nil {
return nil, err
}
sysPrompt := fmt.Sprintf(extractSystemPrompt, s)
var requiredFields []string
for fName, tInfo := range q.outputFields {
if tInfo.Required {
requiredFields = append(requiredFields, fName)
}
}
var formattedAdditionalPrompt string
if len(q.additionalSystemPromptTpl) > 0 {
additionalPrompt, err := nodes.TemplateRender(q.additionalSystemPromptTpl, in)
if err != nil {
return nil, err
}
formattedAdditionalPrompt = fmt.Sprintf(additionalPersona, additionalPrompt)
}
userPromptSuffix := fmt.Sprintf(extractUserPromptSuffix, requiredFields, formattedAdditionalPrompt)
var (
messages = make([]*schema.Message, 0, len(questions)*2+1)
userResponse string
)
messages = append(messages, schema.SystemMessage(sysPrompt))
for i := range questions {
messages = append(messages, schema.AssistantMessage(questions[i][QuestionKey].(string), nil))
answer := answers[i]
if i == len(questions)-1 {
userResponse = answer
answer = answer + userPromptSuffix
}
messages = append(messages, schema.UserMessage(answer))
}
out, err := q.model.Generate(ctx, messages)
if err != nil {
return nil, err
}
content := nodes.ExtractJSONString(out.Content)
var outMap = make(map[string]any)
err = sonic.UnmarshalString(content, &outMap)
if err != nil {
return nil, err
}
nextQuestion, ok := outMap["question"]
if ok {
nextQuestionStr, ok := nextQuestion.(string)
if ok && len(nextQuestionStr) > 0 {
if len(answers) >= q.maxAnswerCount {
return nil, fmt.Errorf("max answer count= %d exceeded", q.maxAnswerCount)
}
return nil, q.interrupt(ctx, nextQuestionStr, nil, questions, answers)
}
}
fields, ok := outMap["fields"]
if !ok {
return nil, fmt.Errorf("field %s not found", fieldInfo)
}
realOutput, ws, err := nodes.ConvertInputs(ctx, fields.(map[string]any), q.outputFields, nodes.SkipRequireCheck())
if err != nil {
return nil, err
}
if ws != nil {
logs.CtxWarnf(ctx, "convert inputs warnings: %v", *ws)
}
realOutput[UserResponseKey] = userResponse
realOutput[QuestionsKey] = questions
realOutput[AnswersKey] = answers
return realOutput, nil
}
func (q *QuestionAnswer) extractCurrentState(ctx context.Context) (
qResult []map[string]any,
aResult []string,
isFirst bool, // whether this execution if the first ever execution for this node
interruptedButNotResumed bool, // whether this node is previously interrupted, but not resumed this time, because another node is resumed
err error) {
var (
intermediateResult map[string]any
resumeData string
resumed bool
)
_ = compose.ProcessState(ctx, func(_ context.Context, state nodes.IntermediateResultStore) error {
intermediateResult = state.GetIntermediateResult(q.nodeKey)
return nil
})
_ = compose.ProcessState(ctx, func(_ context.Context, state nodes.InterruptEventStore) error {
resumeData, resumed = state.GetAndClearResumeData(q.nodeKey)
return nil
})
if len(intermediateResult) == 0 {
return nil, nil, true, false, nil
}
questions, ok := intermediateResult[QuestionsKey]
if ok {
qResult = questions.([]map[string]any)
}
answers, ok := intermediateResult[AnswersKey]
if ok {
aResult = answers.([]string)
if resumed {
newAnswers := append(slices.Clone(aResult), resumeData)
_ = compose.ProcessState(ctx, func(_ context.Context, state nodes.IntermediateResultStore) error {
state.SetIntermediateResult(q.nodeKey, map[string]any{
QuestionsKey: questions,
AnswersKey: newAnswers,
})
return nil
})
}
}
if resumed {
aResult = append(aResult, resumeData)
}
if len(qResult) == 0 && len(aResult) == 0 {
return nil, nil, true, false, nil
}
if len(qResult) != len(aResult) && len(qResult) != len(aResult)+1 {
return nil, nil, false, false,
fmt.Errorf("invalid state, question count is expected to be equal to answer count "+
"or 1 more than answer count. questions: %v, answers: %v", qResult, aResult)
}
return qResult, aResult, false, len(qResult) == len(aResult)+1, nil
}
func (q *QuestionAnswer) intentDetect(ctx context.Context, answer string, choices []string) (int, error) {
type option struct {
Option string `json:"option"`
OptionID int `json:"option_id"`
}
options := make([]option, 0, len(choices))
for i := range choices {
options = append(options, option{Option: choices[i], OptionID: i})
}
optionsStr, err := sonic.MarshalString(options)
if err != nil {
return -1, err
}
sysPrompt := fmt.Sprintf(choiceIntentDetectPrompt, optionsStr)
messages := []*schema.Message{
schema.SystemMessage(sysPrompt),
schema.UserMessage(answer),
}
out, err := q.model.Generate(ctx, messages)
if err != nil {
return -1, err
}
index, err := strconv.Atoi(out.Content)
if err != nil {
return -1, err
}
return index, nil
}
func (q *QuestionAnswer) interrupt(ctx context.Context, newQuestion string, choices []string,
oldQuestions []map[string]any, oldAnswers []string) error {
history := q.generateHistory(oldQuestions, oldAnswers, &newQuestion, choices)
historyList := map[string][]*message{
"messages": history,
}
interruptData, err := sonic.MarshalString(historyList)
if err != nil {
return err
}
eventID, err := workflow.GetRepository().GenID(ctx)
if err != nil {
return err
}
event := &entity.InterruptEvent{
ID: eventID,
NodeKey: q.nodeKey,
NodeType: entity.NodeTypeQuestionAnswer,
NodeTitle: q.nodeMeta.Name,
NodeIcon: q.nodeMeta.IconURI,
InterruptData: interruptData,
EventType: entity.InterruptEventQuestion,
}
intermediateResult := map[string]any{
QuestionsKey: oldQuestions,
AnswersKey: oldAnswers,
}
intermediateResult[QuestionsKey] = append(intermediateResult[QuestionsKey].([]map[string]any),
map[string]any{
QuestionKey: newQuestion,
ChoicesKey: choices,
})
_ = compose.ProcessState(ctx, func(ctx context.Context, state nodes.IntermediateResultStore) error {
state.SetIntermediateResult(q.nodeKey, intermediateResult)
return nil
})
return compose.NewInterruptAndRerunErr(event)
}
func intToAlphabet(num int) string {
if num >= 0 && num <= 25 {
char := rune('A' + num)
return string(char)
}
return ""
}
func AlphabetToInt(str string) (int64, bool) {
if len(str) != 1 {
return 0, false
}
char := rune(str[0])
char = unicode.ToUpper(char)
if char >= 'A' && char <= 'Z' {
return int64(char - 'A'), true
}
return 0, false
}
func (q *QuestionAnswer) generateHistory(oldQuestions []map[string]any, oldAnswers []string,
newQuestion *string, choices []string) []*message {
conv := func(opts []string) (namedOpts []namedOpt) {
for _, opt := range opts {
namedOpts = append(namedOpts, namedOpt{
Name: opt,
})
}
return namedOpts
}
history := make([]*message, 0, len(oldQuestions)+len(oldAnswers)+1)
for i := 0; i < len(oldQuestions); i++ {
oldQuestion := oldQuestions[i]
oldAnswer := oldAnswers[i]
contentType := ternary.IFElse(q.answerType == AnswerByChoices, "option", "text")
questionMsg := &message{
Type: "question",
ContentType: contentType,
ID: fmt.Sprintf("%s_%d", q.nodeKey, i*2),
}
if q.answerType == AnswerByChoices {
questionMsg.Content = optionContent{
Options: conv(oldQuestion[ChoicesKey].([]string)),
Question: oldQuestion[QuestionKey].(string),
}
} else {
questionMsg.Content = oldQuestion[QuestionKey].(string)
}
answerMsg := &message{
Type: "answer",
ContentType: contentType,
Content: oldAnswer,
ID: fmt.Sprintf("%s_%d", q.nodeKey, i+1),
}
history = append(history, questionMsg, answerMsg)
}
if newQuestion != nil {
if q.answerType == AnswerByChoices {
history = append(history, &message{
Type: "question",
ContentType: "option",
Content: optionContent{
Options: conv(choices),
Question: *newQuestion,
},
ID: fmt.Sprintf("%s_%d", q.nodeKey, len(oldQuestions)*2),
})
} else {
history = append(history, &message{
Type: "question",
ContentType: "text",
Content: *newQuestion,
ID: fmt.Sprintf("%s_%d", q.nodeKey, len(oldQuestions)*2),
})
}
}
return history
}
func (q *QuestionAnswer) ToCallbackOutput(_ context.Context, out map[string]any) (*nodes.StructuredCallbackOutput, error) {
questions := out[QuestionsKey].([]map[string]any)
answers := out[AnswersKey].([]string)
selected, hasSelected := out[OptionContentKey]
history := q.generateHistory(questions, answers, nil, nil)
for _, msg := range history {
optionC, ok := msg.Content.(optionContent)
if ok {
msg.Content = optionC.Question
}
msg.ID = ""
}
delete(out, QuestionsKey)
delete(out, AnswersKey)
rawOutput := map[string]any{
"messages": history,
}
if hasSelected {
rawOutput["selected"] = selected
}
rawOutputStr, err := sonic.MarshalString(rawOutput)
if err != nil {
return nil, err
}
sOut := &nodes.StructuredCallbackOutput{
Output: out,
RawOutput: ptr.Of(rawOutputStr),
}
return sOut, nil
}
func AppendInterruptData(interruptData string, resumeData string) (string, error) {
var historyList = make(map[string][]*message)
err := sonic.UnmarshalString(interruptData, &historyList)
if err != nil {
return "", err
}
lastQuestion := historyList["messages"][len(historyList["messages"])-1]
segments := strings.Split(lastQuestion.ID, "_")
nodeKey := segments[0]
i, err := strconv.Atoi(segments[1])
if err != nil {
return "", err
}
answerMsg := &message{
Type: "answer",
ContentType: lastQuestion.ContentType,
Content: resumeData,
ID: fmt.Sprintf("%s_%d", nodeKey, i+1),
}
historyList["messages"] = append(historyList["messages"], answerMsg)
m, err := sonic.MarshalString(historyList)
if err != nil {
return "", err
}
return m, nil
}