Refactor AI Agent and AI Config handling across multiple files

- Updated function signatures to accept AI Agent and AI Config as non-pointer types for better clarity and safety.
- Modified instances where AI Agent and AI Config were dereferenced to improve code readability.
- Removed unnecessary nil checks for AI Agent and AI Config, simplifying the logic.
- Adjusted related tests and services to align with the new function signatures.
- Cleaned up code in runtime, skills, and executor packages to ensure consistency in handling AI configurations.
This commit is contained in:
mlogclub
2026-04-17 17:57:01 +08:00
parent 3b062c327c
commit 976b9defde
36 changed files with 102 additions and 282 deletions
@@ -12,7 +12,7 @@ import (
func TestBuildKnowledgeGuardDecisionFallsBackWhenKnowledgeMisses(t *testing.T) {
agent := newKnowledgeGuardAgentFixture()
decision := buildKnowledgeGuardDecision(&agent, &retrievers.KnowledgeRetrieveResult{
decision := buildKnowledgeGuardDecision(agent, &retrievers.KnowledgeRetrieveResult{
KnowledgeBaseIDs: []int64{1},
FallbackMode: enums.KnowledgeFallbackModeSuggestRetry,
})
@@ -28,7 +28,7 @@ func TestBuildKnowledgeGuardDecisionFallsBackWhenKnowledgeMisses(t *testing.T) {
func TestBuildKnowledgeGuardDecisionUsesAgentFallbackMessage(t *testing.T) {
agent := newKnowledgeGuardAgentFixture()
agent.FallbackMessage = "请联系人工客服"
decision := buildKnowledgeGuardDecision(&agent, &retrievers.KnowledgeRetrieveResult{
decision := buildKnowledgeGuardDecision(agent, &retrievers.KnowledgeRetrieveResult{
KnowledgeBaseIDs: []int64{1},
FallbackMode: enums.KnowledgeFallbackModeNoAnswer,
})
@@ -40,7 +40,7 @@ func TestBuildKnowledgeGuardDecisionUsesAgentFallbackMessage(t *testing.T) {
func TestBuildKnowledgeGuardDecisionInjectsStrictInstructionOnHit(t *testing.T) {
agent := newKnowledgeGuardAgentFixture()
decision := buildKnowledgeGuardDecision(&agent, &retrievers.KnowledgeRetrieveResult{
decision := buildKnowledgeGuardDecision(agent, &retrievers.KnowledgeRetrieveResult{
KnowledgeBaseIDs: []int64{1},
Hits: []rag.RetrieveResult{
{KnowledgeBaseID: 1, Score: 0.88},