feat: add fallback mode for AI agents and update knowledge base handling

- Introduced AIAgentFallbackMode with options for NoAnswer and SuggestRetry.
- Updated AI agent edit component to include fallback mode selection.
- Modified API types and payloads to accommodate fallback mode.
- Removed deprecated KnowledgeFallbackMode and related logic from knowledge base.
- Adjusted knowledge retrieval and response handling to utilize new fallback logic.
- Updated tests to reflect changes in fallback mode handling for AI agents.
This commit is contained in:
mlogclub
2026-04-18 13:36:44 +08:00
parent d9c4b669b2
commit c84870b968
25 changed files with 497 additions and 139 deletions
+3 -13
View File
@@ -112,15 +112,7 @@ func (s *answer) DebugAnswer(ctx context.Context, req request.KnowledgeAnswerReq
}
}
fallbackMode := enums.KnowledgeFallbackMode(req.FallbackMode)
if fallbackMode == 0 {
if knowledgeBase != nil {
fallbackMode = enums.KnowledgeFallbackMode(knowledgeBase.FallbackMode)
}
if fallbackMode == 0 {
fallbackMode = enums.KnowledgeFallbackModeNoAnswer
}
}
fallbackMode := enums.AIAgentFallbackModeNoAnswer
answerStatus := enums.KnowledgeAnswerStatusNormal
answer := ""
@@ -391,12 +383,10 @@ func buildAnswerSystemPrompt(answerMode enums.KnowledgeAnswerMode) string {
return "你是严格的客服知识库助手。只能依据提供的知识片段回答;如果资料不足,请明确说明知识库暂无明确信息。"
}
func buildFallbackAnswer(fallbackMode enums.KnowledgeFallbackMode) string {
func buildFallbackAnswer(fallbackMode enums.AIAgentFallbackMode) string {
switch fallbackMode {
case enums.KnowledgeFallbackModeSuggestRetry:
case enums.AIAgentFallbackModeSuggestRetry:
return "当前知识库里没有找到足够明确的信息,你可以换个更具体的问法再试一次。"
case enums.KnowledgeFallbackModeTransferHuman:
return "当前知识库里没有找到足够明确的信息,建议转人工进一步处理。"
default:
return "当前知识库暂无明确信息。"
}
+3 -8
View File
@@ -11,24 +11,19 @@ import (
func TestBuildFallbackAnswer(t *testing.T) {
tests := []struct {
name string
mode enums.KnowledgeFallbackMode
mode enums.AIAgentFallbackMode
expected string
}{
{
name: "no answer",
mode: enums.KnowledgeFallbackModeNoAnswer,
mode: enums.AIAgentFallbackModeNoAnswer,
expected: "当前知识库暂无明确信息。",
},
{
name: "suggest retry",
mode: enums.KnowledgeFallbackModeSuggestRetry,
mode: enums.AIAgentFallbackModeSuggestRetry,
expected: "当前知识库里没有找到足够明确的信息,你可以换个更具体的问法再试一次。",
},
{
name: "transfer human",
mode: enums.KnowledgeFallbackModeTransferHuman,
expected: "当前知识库里没有找到足够明确的信息,建议转人工进一步处理。",
},
}
for _, tt := range tests {
@@ -19,7 +19,7 @@ func buildKnowledgeGuardDecision(aiAgent models.AIAgent, retrieveResult *retriev
if retrieveResult == nil || len(retrieveResult.KnowledgeBaseIDs) == 0 {
return knowledgeGuardDecision{}
}
fallbackReply := resolveKnowledgeFallbackReply(aiAgent, retrieveResult.FallbackMode)
fallbackReply := resolveKnowledgeFallbackReply(aiAgent)
if len(retrieveResult.Hits) == 0 {
return knowledgeGuardDecision{FallbackReply: fallbackReply}
}
@@ -32,15 +32,13 @@ func buildKnowledgeGuardDecision(aiAgent models.AIAgent, retrieveResult *retriev
}
}
func resolveKnowledgeFallbackReply(aiAgent models.AIAgent, fallbackMode enums.KnowledgeFallbackMode) string {
func resolveKnowledgeFallbackReply(aiAgent models.AIAgent) string {
if reply := strings.TrimSpace(aiAgent.FallbackMessage); reply != "" {
return reply
}
switch fallbackMode {
case enums.KnowledgeFallbackModeSuggestRetry:
switch aiAgent.FallbackMode {
case enums.AIAgentFallbackModeSuggestRetry:
return "当前知识库里没有找到足够明确的信息,你可以换个更具体的问法再试一次。"
case enums.KnowledgeFallbackModeTransferHuman:
return "当前知识库里没有找到足够明确的信息,建议转人工进一步处理。"
default:
return "当前知识库暂无明确信息。"
}
@@ -12,9 +12,9 @@ import (
func TestBuildKnowledgeGuardDecisionFallsBackWhenKnowledgeMisses(t *testing.T) {
agent := newKnowledgeGuardAgentFixture()
agent.FallbackMode = enums.AIAgentFallbackModeSuggestRetry
decision := buildKnowledgeGuardDecision(agent, &retrievers.KnowledgeRetrieveResult{
KnowledgeBaseIDs: []int64{1},
FallbackMode: enums.KnowledgeFallbackModeSuggestRetry,
})
if decision.FallbackReply != "当前知识库里没有找到足够明确的信息,你可以换个更具体的问法再试一次。" {
@@ -30,7 +30,6 @@ func TestBuildKnowledgeGuardDecisionUsesAgentFallbackMessage(t *testing.T) {
agent.FallbackMessage = "请联系人工客服"
decision := buildKnowledgeGuardDecision(agent, &retrievers.KnowledgeRetrieveResult{
KnowledgeBaseIDs: []int64{1},
FallbackMode: enums.KnowledgeFallbackModeNoAnswer,
})
if decision.FallbackReply != "请联系人工客服" {
@@ -45,8 +44,7 @@ func TestBuildKnowledgeGuardDecisionInjectsStrictInstructionOnHit(t *testing.T)
Hits: []rag.RetrieveResult{
{KnowledgeBaseID: 1, Score: 0.88},
},
AnswerMode: enums.KnowledgeAnswerModeStrict,
FallbackMode: enums.KnowledgeFallbackModeNoAnswer,
AnswerMode: enums.KnowledgeAnswerModeStrict,
})
if decision.FallbackReply != "" {
@@ -65,5 +63,7 @@ func TestBuildKnowledgeGuardDecisionInjectsStrictInstructionOnHit(t *testing.T)
}
func newKnowledgeGuardAgentFixture() models.AIAgent {
return models.AIAgent{}
return models.AIAgent{
FallbackMode: enums.AIAgentFallbackModeNoAnswer,
}
}
@@ -46,7 +46,6 @@ type KnowledgeRetrieveResult struct {
ContextText string
TopScore float64
AnswerMode enums.KnowledgeAnswerMode
FallbackMode enums.KnowledgeFallbackMode
Trace *rag.RetrieveTrace
TraceItems []callbacks.RetrieverTraceItem
TraceSummary callbacks.RetrieverTraceSummary
@@ -127,7 +126,7 @@ func (r *KnowledgeRetriever) RetrieveContextByOptions(ctx context.Context, opts
ret.ContextResults = limitContextResults(ret.ContextResults, maxContextItems)
ret.ContextText = strings.TrimSpace(buildContextText(ret.ContextResults))
ret.TopScore = resolveTopScore(results)
ret.AnswerMode, ret.FallbackMode = resolveRuntimeAnswerSettings(knowledgeBaseIDs, results)
ret.AnswerMode = resolveRuntimeAnswerMode(knowledgeBaseIDs, results)
ret.TraceItems = buildRetrieverTraceItems(queryPreview, results, trace)
ret.TraceSummary = buildRetrieverTraceSummary(ret.Options, ret.Policies, ret.ContextResults, results, trace)
return ret, nil
@@ -188,34 +187,30 @@ func (r *KnowledgeRetriever) resolvePolicies(knowledgeBaseIDs []int64, opts Know
return ret
}
func resolveRuntimeAnswerSettings(knowledgeBaseIDs []int64, results []rag.RetrieveResult) (enums.KnowledgeAnswerMode, enums.KnowledgeFallbackMode) {
func resolveRuntimeAnswerMode(knowledgeBaseIDs []int64, results []rag.RetrieveResult) enums.KnowledgeAnswerMode {
knowledgeBases := loadRuntimeKnowledgeBases(knowledgeBaseIDs)
if len(knowledgeBases) == 0 {
return enums.KnowledgeAnswerModeStrict, enums.KnowledgeFallbackModeNoAnswer
return enums.KnowledgeAnswerModeStrict
}
if len(results) > 0 {
if knowledgeBase, ok := knowledgeBases[results[0].KnowledgeBaseID]; ok {
return normalizeRuntimeAnswerSettings(knowledgeBase)
return normalizeRuntimeAnswerMode(knowledgeBase)
}
}
for _, knowledgeBaseID := range knowledgeBaseIDs {
if knowledgeBase, ok := knowledgeBases[knowledgeBaseID]; ok {
return normalizeRuntimeAnswerSettings(knowledgeBase)
return normalizeRuntimeAnswerMode(knowledgeBase)
}
}
return enums.KnowledgeAnswerModeStrict, enums.KnowledgeFallbackModeNoAnswer
return enums.KnowledgeAnswerModeStrict
}
func normalizeRuntimeAnswerSettings(knowledgeBase models.KnowledgeBase) (enums.KnowledgeAnswerMode, enums.KnowledgeFallbackMode) {
func normalizeRuntimeAnswerMode(knowledgeBase models.KnowledgeBase) enums.KnowledgeAnswerMode {
answerMode := enums.KnowledgeAnswerMode(knowledgeBase.AnswerMode)
if answerMode == 0 {
answerMode = enums.KnowledgeAnswerModeStrict
}
fallbackMode := enums.KnowledgeFallbackMode(knowledgeBase.FallbackMode)
if fallbackMode == 0 {
fallbackMode = enums.KnowledgeFallbackModeNoAnswer
}
return answerMode, fallbackMode
return answerMode
}
func loadRuntimeKnowledgeBases(ids []int64) map[int64]models.KnowledgeBase {