refactor: Update function signatures across multiple files to improve readability by adding context parameters and enhancing code structure

client/agent.go

@@ -150,7 +150,11 @@ func (as *AgentSession) Ask(ctx context.Context, query string, callback AgentEve
 }
 
 // AskWithRequest sends a customized agent request for this session.
-func (as *AgentSession) AskWithRequest(ctx context.Context, request *AgentQARequest, callback AgentEventCallback) error {
+func (as *AgentSession) AskWithRequest(
+	ctx context.Context,
+	request *AgentQARequest,
+	callback AgentEventCallback,
+) error {
 	return as.client.AgentQAStreamWithRequest(ctx, as.sessionID, request, callback)
 }
 

client/cmd/agent_test/main.go

@@ -250,7 +250,12 @@ func (cli *CLI) askQuestion(query string) {
 		case client.AgentResponseTypeReferences:
 			if resp.KnowledgeReferences != nil {
 				references = append(references, resp.KnowledgeReferences...)
-				fmt.Printf("%s📚 Knowledge References:%s Found %d reference(s)\n", ColorCyan, ColorReset, len(resp.KnowledgeReferences))
+				fmt.Printf(
+					"%s📚 Knowledge References:%s Found %d reference(s)\n",
+					ColorCyan,
+					ColorReset,
+					len(resp.KnowledgeReferences),
+				)
 				for i, ref := range resp.KnowledgeReferences {
 					fmt.Printf("   %d. [Score: %.3f] %s\n", i+1, ref.Score, truncateString(ref.Content, 80))
 					fmt.Printf("      Knowledge: %s (Chunk: %d)\n", ref.KnowledgeTitle, ref.ChunkIndex)

client/knowledge.go

@@ -172,7 +172,12 @@ func (c *Client) CreateKnowledgeFromFile(ctx context.Context,
 }
 
 // CreateKnowledgeFromURL creates a knowledge entry from a web URL
-func (c *Client) CreateKnowledgeFromURL(ctx context.Context, knowledgeBaseID string, url string, enableMultimodel *bool) (*Knowledge, error) {
+func (c *Client) CreateKnowledgeFromURL(
+	ctx context.Context,
+	knowledgeBaseID string,
+	url string,
+	enableMultimodel *bool,
+) (*Knowledge, error) {
 	path := fmt.Sprintf("/api/v1/knowledge-bases/%s/knowledge/url", knowledgeBaseID)
 
 	reqBody := struct {

client/message.go

@@ -19,7 +19,7 @@ type Message struct {
 	RequestID           string          `json:"request_id"`
 	Content             string          `json:"content"`
 	Role                string          `json:"role"`
-	KnowledgeReferences []*SearchResult `json:"knowledge_references" `
+	KnowledgeReferences []*SearchResult `json:"knowledge_references"`
 	IsCompleted         bool            `json:"is_completed"`
 	CreatedAt           time.Time       `json:"created_at"`
 	UpdatedAt           time.Time       `json:"updated_at"`
@@ -32,7 +32,12 @@ type MessageListResponse struct {
 }
 
 // LoadMessages loads session messages, supports pagination and time filtering
-func (c *Client) LoadMessages(ctx context.Context, sessionID string, limit int, beforeTime *time.Time) ([]Message, error) {
+func (c *Client) LoadMessages(
+	ctx context.Context,
+	sessionID string,
+	limit int,
+	beforeTime *time.Time,
+) ([]Message, error) {
 	path := fmt.Sprintf("/api/v1/messages/%s/load", sessionID)
 
 	queryParams := url.Values{}
@@ -61,7 +66,12 @@ func (c *Client) GetRecentMessages(ctx context.Context, sessionID string, limit
 }
 
 // GetMessagesBefore gets messages before a specified time
-func (c *Client) GetMessagesBefore(ctx context.Context, sessionID string, beforeTime time.Time, limit int) ([]Message, error) {
+func (c *Client) GetMessagesBefore(
+	ctx context.Context,
+	sessionID string,
+	beforeTime time.Time,
+	limit int,
+) ([]Message, error) {
 	return c.LoadMessages(ctx, sessionID, limit, &beforeTime)
 }
 

client/session.go

@@ -236,7 +236,12 @@ type StreamResponse struct {
 }
 
 // KnowledgeQAStream knowledge Q&A streaming API
-func (c *Client) KnowledgeQAStream(ctx context.Context, sessionID string, query string, callback func(*StreamResponse) error) error {
+func (c *Client) KnowledgeQAStream(
+	ctx context.Context,
+	sessionID string,
+	query string,
+	callback func(*StreamResponse) error,
+) error {
 	path := fmt.Sprintf("/api/v1/knowledge-chat/%s", sessionID)
 	fmt.Printf("Starting KnowledgeQAStream request, session ID: %s, query: %s\n", sessionID, query)
 
@@ -315,7 +320,12 @@ func (c *Client) KnowledgeQAStream(ctx context.Context, sessionID string, query
 }
 
 // ContinueStream continues to receive an active stream for a session
-func (c *Client) ContinueStream(ctx context.Context, sessionID string, messageID string, callback func(*StreamResponse) error) error {
+func (c *Client) ContinueStream(
+	ctx context.Context,
+	sessionID string,
+	messageID string,
+	callback func(*StreamResponse) error,
+) error {
 	path := fmt.Sprintf("/api/v1/sessions/continue-stream/%s", sessionID)
 
 	queryParams := url.Values{}

client/tenant.go

@@ -24,23 +24,23 @@ type RetrieverEngineParams struct {
 
 // Tenant represents tenant information in the system
 type Tenant struct {
-	ID uint `yaml:"id" json:"id" gorm:"primaryKey"`
+	ID uint `yaml:"id"                json:"id"                gorm:"primaryKey"`
 	// Tenant name
-	Name string `yaml:"name" json:"name"`
+	Name string `yaml:"name"              json:"name"`
 	// Tenant description
-	Description string `yaml:"description" json:"description"`
+	Description string `yaml:"description"       json:"description"`
 	// API key for authentication
-	APIKey string `yaml:"api_key" json:"api_key"`
+	APIKey string `yaml:"api_key"           json:"api_key"`
 	// Tenant status (active, inactive)
-	Status string `yaml:"status" json:"status" gorm:"default:'active'"`
+	Status string `yaml:"status"            json:"status"            gorm:"default:'active'"`
 	// Configured retrieval engines
 	RetrieverEngines RetrieverEngines `yaml:"retriever_engines" json:"retriever_engines" gorm:"type:json"`
 	// Business/department information
-	Business string `yaml:"business" json:"business"`
+	Business string `yaml:"business"          json:"business"`
 	// Creation timestamp
-	CreatedAt time.Time `yaml:"created_at" json:"created_at"`
+	CreatedAt time.Time `yaml:"created_at"        json:"created_at"`
 	// Last update timestamp
-	UpdatedAt time.Time `yaml:"updated_at" json:"updated_at"`
+	UpdatedAt time.Time `yaml:"updated_at"        json:"updated_at"`
 }
 
 // TenantResponse represents the API response structure for tenant operations

internal/agent/engine.go

@@ -71,7 +71,11 @@ func NewAgentEngine(
 
 // Execute executes the agent with conversation history and streaming output
 // All events are emitted to EventBus and handled by subscribers (like Handler layer)
-func (e *AgentEngine) Execute(ctx context.Context, sessionID, messageID, query string, llmContext []chat.Message) (*types.AgentState, error) {
+func (e *AgentEngine) Execute(
+	ctx context.Context,
+	sessionID, messageID, query string,
+	llmContext []chat.Message,
+) (*types.AgentState, error) {
 	logger.Infof(ctx, "========== Agent Execution Started ==========")
 	logger.Infof(ctx, "[Agent] SessionID: %s, MessageID: %s", sessionID, messageID)
 	logger.Infof(ctx, "[Agent] User Query: %s", query)
@@ -92,7 +96,11 @@ func (e *AgentEngine) Execute(ctx context.Context, sessionID, messageID, query s
 	}
 
 	// Build system prompt using progressive RAG prompt
-	systemPrompt := BuildProgressiveRAGSystemPrompt(e.knowledgeBasesInfo, e.config.WebSearchEnabled, e.systemPromptTemplate)
+	systemPrompt := BuildProgressiveRAGSystemPrompt(
+		e.knowledgeBasesInfo,
+		e.config.WebSearchEnabled,
+		e.systemPromptTemplate,
+	)
 	logger.Debugf(ctx, "[Agent] SystemPrompt Length: %d characters", len(systemPrompt))
 	logger.Debugf(ctx, "[Agent] SystemPrompt (stream)\n----\n%s\n----", systemPrompt)
 
@@ -193,7 +201,12 @@ func (e *AgentEngine) executeLoop(
 		// Debug: log finish reason and tool call count from LLM
 		logger.Infof(ctx, "[Agent][Round-%d] LLM response received: finish_reason=%s, tool_calls=%d, content_length=%d",
 			state.CurrentRound+1, response.FinishReason, len(response.ToolCalls), len(response.Content))
-		logger.Debugf(ctx, "[Agent] LLM response finish=%s, toolCalls=%d", response.FinishReason, len(response.ToolCalls))
+		logger.Debugf(
+			ctx,
+			"[Agent] LLM response finish=%s, toolCalls=%d",
+			response.FinishReason,
+			len(response.ToolCalls),
+		)
 		if response.Content != "" {
 			logger.Debugf(ctx, "[Agent][Round-%d] LLM thought content:\n%s", state.CurrentRound+1, response.Content)
 		}
@@ -229,13 +242,23 @@ func (e *AgentEngine) executeLoop(
 					Done:    true,
 				},
 			})
-			logger.Infof(ctx, "[Agent][Round-%d] Duration: %dms", state.CurrentRound+1, time.Since(roundStart).Milliseconds())
+			logger.Infof(
+				ctx,
+				"[Agent][Round-%d] Duration: %dms",
+				state.CurrentRound+1,
+				time.Since(roundStart).Milliseconds(),
+			)
 			break
 		}
 
 		// 3. Act: Execute tool calls if any
 		if len(response.ToolCalls) > 0 {
-			logger.Infof(ctx, "[Agent][Round-%d] Executing %d tool calls...", state.CurrentRound+1, len(response.ToolCalls))
+			logger.Infof(
+				ctx,
+				"[Agent][Round-%d] Executing %d tool calls...",
+				state.CurrentRound+1,
+				len(response.ToolCalls),
+			)
 
 			for i, tc := range response.ToolCalls {
 				logger.Infof(ctx, "[Agent][Round-%d][Tool-%d/%d] Tool: %s, ID: %s",
@@ -483,7 +506,11 @@ func (e *AgentEngine) buildToolsForLLM() []chat.Tool {
 
 // appendToolResults adds tool results to the message history following OpenAI's tool calling format
 // Also writes these messages to the context manager for persistence
-func (e *AgentEngine) appendToolResults(ctx context.Context, messages []chat.Message, step types.AgentStep) []chat.Message {
+func (e *AgentEngine) appendToolResults(
+	ctx context.Context,
+	messages []chat.Message,
+	step types.AgentStep,
+) []chat.Message {
 	// Add assistant message with tool calls (if any)
 	if step.Thought != "" || len(step.ToolCalls) > 0 {
 		assistantMsg := chat.Message{
@@ -744,7 +771,11 @@ func (e *AgentEngine) streamFinalAnswerToEventBus(
 	})
 
 	// Build messages with all context
-	systemPrompt := BuildProgressiveRAGSystemPrompt(e.knowledgeBasesInfo, e.config.WebSearchEnabled, e.systemPromptTemplate)
+	systemPrompt := BuildProgressiveRAGSystemPrompt(
+		e.knowledgeBasesInfo,
+		e.config.WebSearchEnabled,
+		e.systemPromptTemplate,
+	)
 
 	messages := []chat.Message{
 		{Role: "system", Content: systemPrompt},
@@ -837,7 +868,10 @@ func countTotalToolCalls(steps []types.AgentStep) int {
 }
 
 // buildMessagesWithLLMContext builds the message array with LLM context
-func (e *AgentEngine) buildMessagesWithLLMContext(systemPrompt, currentQuery string, llmContext []chat.Message) []chat.Message {
+func (e *AgentEngine) buildMessagesWithLLMContext(
+	systemPrompt, currentQuery string,
+	llmContext []chat.Message,
+) []chat.Message {
 	messages := []chat.Message{
 		{Role: "system", Content: systemPrompt},
 	}

internal/agent/prompts.go

@@ -189,7 +189,12 @@ func renderPromptPlaceholders(template string, knowledgeBases []*KnowledgeBaseIn
 //   - {{knowledge_bases}}
 //   - {{web_search_status}} -> "Enabled" or "Disabled"
 //   - {{current_time}} -> current time string
-func renderPromptPlaceholdersWithStatus(template string, knowledgeBases []*KnowledgeBaseInfo, webSearchEnabled bool, currentTime string) string {
+func renderPromptPlaceholdersWithStatus(
+	template string,
+	knowledgeBases []*KnowledgeBaseInfo,
+	webSearchEnabled bool,
+	currentTime string,
+) string {
 	result := renderPromptPlaceholders(template, knowledgeBases)
 	status := "Disabled"
 	if webSearchEnabled {
@@ -205,7 +210,10 @@ func renderPromptPlaceholdersWithStatus(template string, knowledgeBases []*Knowl
 }
 
 // BuildProgressiveRAGSystemPromptWithWeb builds the progressive RAG system prompt with web search enabled
-func BuildProgressiveRAGSystemPromptWithWeb(knowledgeBases []*KnowledgeBaseInfo, systemPromptTemplate ...string) string {
+func BuildProgressiveRAGSystemPromptWithWeb(
+	knowledgeBases []*KnowledgeBaseInfo,
+	systemPromptTemplate ...string,
+) string {
 	var template string
 	if len(systemPromptTemplate) > 0 && systemPromptTemplate[0] != "" {
 		template = systemPromptTemplate[0]
@@ -217,7 +225,10 @@ func BuildProgressiveRAGSystemPromptWithWeb(knowledgeBases []*KnowledgeBaseInfo,
 }
 
 // BuildProgressiveRAGSystemPromptWithoutWeb builds the progressive RAG system prompt without web search
-func BuildProgressiveRAGSystemPromptWithoutWeb(knowledgeBases []*KnowledgeBaseInfo, systemPromptTemplate ...string) string {
+func BuildProgressiveRAGSystemPromptWithoutWeb(
+	knowledgeBases []*KnowledgeBaseInfo,
+	systemPromptTemplate ...string,
+) string {
 	var template string
 	if len(systemPromptTemplate) > 0 && systemPromptTemplate[0] != "" {
 		template = systemPromptTemplate[0]
@@ -230,7 +241,11 @@ func BuildProgressiveRAGSystemPromptWithoutWeb(knowledgeBases []*KnowledgeBaseIn
 
 // BuildProgressiveRAGSystemPrompt builds the progressive RAG system prompt based on web search status
 // This is the main function to use - it automatically selects the appropriate version
-func BuildProgressiveRAGSystemPrompt(knowledgeBases []*KnowledgeBaseInfo, webSearchEnabled bool, systemPromptTemplate ...string) string {
+func BuildProgressiveRAGSystemPrompt(
+	knowledgeBases []*KnowledgeBaseInfo,
+	webSearchEnabled bool,
+	systemPromptTemplate ...string,
+) string {
 	if webSearchEnabled {
 		return BuildProgressiveRAGSystemPromptWithWeb(knowledgeBases, systemPromptTemplate...)
 	}

internal/agent/tools/database_query.go

@@ -373,7 +373,11 @@ func (t *DatabaseQueryTool) validateAndSecureSQL(sqlQuery string) (string, error
 }
 
 // formatQueryResults formats query results into readable text
-func (t *DatabaseQueryTool) formatQueryResults(columns []string, results []map[string]interface{}, query string) string {
+func (t *DatabaseQueryTool) formatQueryResults(
+	columns []string,
+	results []map[string]interface{},
+	query string,
+) string {
 	output := "=== 查询结果 ===\n\n"
 	output += fmt.Sprintf("执行的SQL: %s\n\n", query)
 	output += fmt.Sprintf("返回 %d 行数据\n\n", len(results))

internal/agent/tools/get_document_info.go

@@ -133,10 +133,11 @@ func (t *GetDocumentInfoTool) Execute(ctx context.Context, args map[string]inter
 			}
 
 			// Get chunk count
-			_, total, err := t.chunkService.GetRepository().ListPagedChunksByKnowledgeID(ctx, t.tenantID, id, &types.Pagination{
-				Page:     1,
-				PageSize: 1000,
-			}, []types.ChunkType{"text"}, "")
+			_, total, err := t.chunkService.GetRepository().
+				ListPagedChunksByKnowledgeID(ctx, t.tenantID, id, &types.Pagination{
+					Page:     1,
+					PageSize: 1000,
+				}, []types.ChunkType{"text"}, "")
 			if err != nil {
 				mu.Lock()
 				results[id] = &docInfo{

internal/agent/tools/grep_chunks.go

@@ -203,7 +203,12 @@ func (t *GrepChunksTool) Execute(ctx context.Context, args map[string]interface{
 		if maxResults > 0 && mmrK > maxResults {
 			mmrK = maxResults
 		}
-		logger.Debugf(ctx, "[Tool][GrepChunks] Applying MMR: k=%d, lambda=0.7, input=%d results", mmrK, len(scoredResults))
+		logger.Debugf(
+			ctx,
+			"[Tool][GrepChunks] Applying MMR: k=%d, lambda=0.7, input=%d results",
+			mmrK,
+			len(scoredResults),
+		)
 		mmrResults := t.applyMMR(ctx, scoredResults, patterns, mmrK, 0.7)
 		if len(mmrResults) > 0 {
 			finalResults = mmrResults
@@ -252,9 +257,9 @@ func (t *GrepChunksTool) Execute(ctx context.Context, args map[string]interface{
 
 type chunkWithTitle struct {
 	types.Chunk
-	KnowledgeTitle  string  `json:"knowledge_title" gorm:"column:knowledge_title"`
-	MatchScore      float64 `json:"match_score" gorm:"column:match_score"` // Score based on match count and position
-	MatchedPatterns int     `json:"matched_patterns"`                      // Number of unique patterns matched
+	KnowledgeTitle  string  `json:"knowledge_title"   gorm:"column:knowledge_title"`
+	MatchScore      float64 `json:"match_score"       gorm:"column:match_score"` // Score based on match count and position
+	MatchedPatterns int     `json:"matched_patterns"`                            // Number of unique patterns matched
 	TotalChunkCount int     `json:"total_chunk_count" gorm:"column:total_chunk_count"`
 }
 
@@ -344,14 +349,16 @@ func (t *GrepChunksTool) formatOutput(
 			patternSummaries = append(patternSummaries, fmt.Sprintf("%s=%d", pattern, count))
 		}
 
-		output.WriteString(fmt.Sprintf("%d) knowledge_id=%s | title=%s | chunk_hits=%d | chunk_total=%d | pattern_hits=[%s]\n",
-			idx+1,
-			result.KnowledgeID,
-			result.KnowledgeTitle,
-			result.ChunkHitCount,
-			result.TotalChunkCount,
-			strings.Join(patternSummaries, ", "),
-		))
+		output.WriteString(
+			fmt.Sprintf("%d) knowledge_id=%s | title=%s | chunk_hits=%d | chunk_total=%d | pattern_hits=[%s]\n",
+				idx+1,
+				result.KnowledgeID,
+				result.KnowledgeTitle,
+				result.ChunkHitCount,
+				result.TotalChunkCount,
+				strings.Join(patternSummaries, ", "),
+			),
+		)
 	}
 	return output.String()
 }
@@ -553,7 +560,11 @@ func (t *GrepChunksTool) buildContentSignature(content string) string {
 }
 
 // scoreChunks calculates match scores for chunks based on pattern matches
-func (t *GrepChunksTool) scoreChunks(ctx context.Context, results []chunkWithTitle, patterns []string) []chunkWithTitle {
+func (t *GrepChunksTool) scoreChunks(
+	ctx context.Context,
+	results []chunkWithTitle,
+	patterns []string,
+) []chunkWithTitle {
 	scored := make([]chunkWithTitle, len(results))
 	for i := range results {
 		scored[i] = results[i]

internal/agent/tools/knowledge_search.go

@@ -246,8 +246,14 @@ func (t *KnowledgeSearchTool) Execute(ctx context.Context, args map[string]inter
 		minScore = 0.3
 	}
 
-	logger.Infof(ctx, "[Tool][KnowledgeSearch] Search params: top_k=%d, vector_threshold=%.2f, keyword_threshold=%.2f, min_score=%.2f",
-		topK, vectorThreshold, keywordThreshold, minScore)
+	logger.Infof(
+		ctx,
+		"[Tool][KnowledgeSearch] Search params: top_k=%d, vector_threshold=%.2f, keyword_threshold=%.2f, min_score=%.2f",
+		topK,
+		vectorThreshold,
+		keywordThreshold,
+		minScore,
+	)
 
 	// Execute concurrent search (hybrid search handles both vector and keyword)
 	logger.Infof(ctx, "[Tool][KnowledgeSearch] Starting concurrent search across %d KBs", len(kbIDs))
@@ -280,8 +286,13 @@ func (t *KnowledgeSearchTool) Execute(ctx context.Context, args map[string]inter
 	}
 
 	if t.chatModel != nil && len(deduplicatedBeforeRerank) > 0 && rerankQuery != "" {
-		logger.Infof(ctx, "[Tool][KnowledgeSearch] Applying LLM-based rerank with model: %s, input: %d results, queries: %v",
-			t.chatModel.GetModelName(), len(deduplicatedBeforeRerank), queries)
+		logger.Infof(
+			ctx,
+			"[Tool][KnowledgeSearch] Applying LLM-based rerank with model: %s, input: %d results, queries: %v",
+			t.chatModel.GetModelName(),
+			len(deduplicatedBeforeRerank),
+			queries,
+		)
 		rerankedResults, err := t.rerankResults(ctx, rerankQuery, deduplicatedBeforeRerank)
 		if err != nil {
 			logger.Warnf(ctx, "[Tool][KnowledgeSearch] LLM rerank failed, using original results: %v", err)
@@ -320,7 +331,12 @@ func (t *KnowledgeSearchTool) Execute(ctx context.Context, args map[string]inter
 			mmrK = 1
 		}
 		// Apply MMR with lambda=0.7 (balance between relevance and diversity)
-		logger.Debugf(ctx, "[Tool][KnowledgeSearch] Applying MMR: k=%d, lambda=0.7, input=%d results", mmrK, len(filteredResults))
+		logger.Debugf(
+			ctx,
+			"[Tool][KnowledgeSearch] Applying MMR: k=%d, lambda=0.7, input=%d results",
+			mmrK,
+			len(filteredResults),
+		)
 		mmrResults := t.applyMMR(ctx, filteredResults, mmrK, 0.7)
 		if len(mmrResults) > 0 {
 			filteredResults = mmrResults
@@ -659,7 +675,8 @@ func (t *KnowledgeSearchTool) rerankWithLLM(
 		}
 
 		// Optimized prompt focused on retrieval matching and reranking
-		prompt := fmt.Sprintf(`You are a search result reranking expert. Your task is to evaluate how well each retrieved passage matches the user's search query and information need.
+		prompt := fmt.Sprintf(
+			`You are a search result reranking expert. Your task is to evaluate how well each retrieved passage matches the user's search query and information need.
 
 User Query: %s
 
@@ -690,7 +707,12 @@ Passage 3: X.XX
 ...
 Passage %d: X.XX
 
-Output only the scores, no explanations or additional text.`, query, passagesBuilder.String(), len(batch), len(batch))
+Output only the scores, no explanations or additional text.`,
+			query,
+			passagesBuilder.String(),
+			len(batch),
+			len(batch),
+		)
 
 		messages := []chat.Message{
 			{
@@ -727,8 +749,13 @@ Output only the scores, no explanations or additional text.`, query, passagesBui
 		// Parse scores from response
 		batchScores, err := t.parseScoresFromResponse(response.Content, len(batch))
 		if err != nil {
-			logger.Warnf(ctx, "[Tool][KnowledgeSearch] Failed to parse LLM scores for batch %d-%d: %v, using original scores",
-				batchStart+1, batchEnd, err)
+			logger.Warnf(
+				ctx,
+				"[Tool][KnowledgeSearch] Failed to parse LLM scores for batch %d-%d: %v, using original scores",
+				batchStart+1,
+				batchEnd,
+				err,
+			)
 			// Use original scores for this batch on parsing error
 			for i := batchStart; i < batchEnd; i++ {
 				allScores[i] = results[i].Score
@@ -862,7 +889,12 @@ func (t *KnowledgeSearchTool) rerankWithModel(
 		}
 	}
 
-	logger.Infof(ctx, "[Tool][KnowledgeSearch] Reranked %d results from %d original results", len(reranked), len(results))
+	logger.Infof(
+		ctx,
+		"[Tool][KnowledgeSearch] Reranked %d results from %d original results",
+		len(reranked),
+		len(results),
+	)
 	return reranked, nil
 }
 
@@ -1027,7 +1059,12 @@ func (t *KnowledgeSearchTool) formatOutput(
 		if result.KnowledgeBaseType == types.KnowledgeBaseTypeFAQ {
 			meta, err := t.getFAQMetadata(ctx, result.ID, faqMetadataCache)
 			if err != nil {
-				logger.Warnf(ctx, "[Tool][KnowledgeSearch] Failed to load FAQ metadata for chunk %s: %v", result.ID, err)
+				logger.Warnf(
+					ctx,
+					"[Tool][KnowledgeSearch] Failed to load FAQ metadata for chunk %s: %v",
+					result.ID,
+					err,
+				)
 			} else {
 				faqMeta = meta
 			}
@@ -1055,7 +1092,12 @@ func (t *KnowledgeSearchTool) formatOutput(
 					&types.Pagination{Page: 1, PageSize: 1},
 					[]types.ChunkType{types.ChunkTypeText}, "")
 				if err != nil {
-					logger.Warnf(ctx, "[Tool][KnowledgeSearch] Failed to get total chunks for knowledge %s: %v", result.KnowledgeID, err)
+					logger.Warnf(
+						ctx,
+						"[Tool][KnowledgeSearch] Failed to get total chunks for knowledge %s: %v",
+						result.KnowledgeID,
+						err,
+					)
 					knowledgeTotalMap[result.KnowledgeID] = 0
 				} else {
 					knowledgeTotalMap[result.KnowledgeID] = total
@@ -1065,7 +1107,12 @@ func (t *KnowledgeSearchTool) formatOutput(
 
 		// relevanceLevel := GetRelevanceLevel(result.Score)
 		output += fmt.Sprintf("\nResult #%d:\n", i+1)
-		output += fmt.Sprintf("  [chunk_id: %s][chunk_index: %d]\nContent: %s\n", result.ID, result.ChunkIndex, result.Content)
+		output += fmt.Sprintf(
+			"  [chunk_id: %s][chunk_index: %d]\nContent: %s\n",
+			result.ID,
+			result.ChunkIndex,
+			result.Content,
+		)
 
 		if faqMeta != nil {
 			if faqMeta.StandardQuestion != "" {
@@ -1134,7 +1181,11 @@ func (t *KnowledgeSearchTool) formatOutput(
 
 				if len(missingRanges) == 0 {
 					// No gaps found (shouldn't happen if remaining > 0, but handle it)
-					output += fmt.Sprintf("    - 获取全部内容: list_knowledge_chunks(knowledge_id=\"%s\", offset=0, limit=%d)\n", knowledgeID, totalChunks)
+					output += fmt.Sprintf(
+						"    - 获取全部内容: list_knowledge_chunks(knowledge_id=\"%s\", offset=0, limit=%d)\n",
+						knowledgeID,
+						totalChunks,
+					)
 				} else if len(missingRanges) == 1 && missingRanges[0].start == 0 && missingRanges[0].end == int(totalChunks)-1 {
 					// All chunks are missing (shouldn't happen, but handle it)
 					output += fmt.Sprintf("    - 获取全部内容: list_knowledge_chunks(knowledge_id=\"%s\", offset=0, limit=%d)\n", knowledgeID, totalChunks)
@@ -1284,8 +1335,12 @@ func (t *KnowledgeSearchTool) normalizeKeywordSearchResults(ctx context.Context,
 		for _, r := range keywordResults {
 			r.Score = 1.0
 		}
-		logger.Infof(ctx, "[Tool][KnowledgeSearch] Keyword scores have no variance, all set to 1.0: count=%d, score=%.3f",
-			len(keywordResults), minS)
+		logger.Infof(
+			ctx,
+			"[Tool][KnowledgeSearch] Keyword scores have no variance, all set to 1.0: count=%d, score=%.3f",
+			len(keywordResults),
+			minS,
+		)
 		return
 	}
 
@@ -1336,8 +1391,15 @@ func (t *KnowledgeSearchTool) normalizeKeywordSearchResults(ctx context.Context,
 			r.Score = ns
 		}
 
-		logger.Infof(ctx, "[Tool][KnowledgeSearch] Normalized keyword scores: count=%d, raw_min=%.3f, raw_max=%.3f, normalize_min=%.3f, normalize_max=%.3f",
-			len(keywordResults), minS, maxS, normalizeMin, normalizeMax)
+		logger.Infof(
+			ctx,
+			"[Tool][KnowledgeSearch] Normalized keyword scores: count=%d, raw_min=%.3f, raw_max=%.3f, normalize_min=%.3f, normalize_max=%.3f",
+			len(keywordResults),
+			minS,
+			maxS,
+			normalizeMin,
+			normalizeMax,
+		)
 	} else {
 		// Fallback: all scores are the same after percentile filtering
 		for _, r := range keywordResults {

internal/agent/tools/list_knowledge_chunks.go

@@ -203,7 +203,13 @@ func (t *ListKnowledgeChunksTool) buildOutput(
 		}
 		return builder.String()
 	}
-	fmt.Fprintf(builder, "本次拉取: %d 条， 检索范围: %d - %d\n\n", fetched, chunks[0].ChunkIndex, chunks[len(chunks)-1].ChunkIndex)
+	fmt.Fprintf(
+		builder,
+		"本次拉取: %d 条， 检索范围: %d - %d\n\n",
+		fetched,
+		chunks[0].ChunkIndex,
+		chunks[len(chunks)-1].ChunkIndex,
+	)
 
 	builder.WriteString("=== 分块内容预览 ===\n\n")
 	for idx, c := range chunks {

internal/agent/tools/mcp_tool.go

@@ -177,7 +177,12 @@ func sanitizeName(name string) string {
 }
 
 // RegisterMCPTools registers MCP tools from given services
-func RegisterMCPTools(ctx context.Context, registry *ToolRegistry, services []*types.MCPService, mcpManager *mcp.MCPManager) error {
+func RegisterMCPTools(
+	ctx context.Context,
+	registry *ToolRegistry,
+	services []*types.MCPService,
+	mcpManager *mcp.MCPManager,
+) error {
 	if len(services) == 0 {
 		return nil
 	}
@@ -239,7 +244,11 @@ func RegisterMCPTools(ctx context.Context, registry *ToolRegistry, services []*t
 }
 
 // GetMCPToolsInfo returns information about available MCP tools
-func GetMCPToolsInfo(ctx context.Context, services []*types.MCPService, mcpManager *mcp.MCPManager) (map[string][]string, error) {
+func GetMCPToolsInfo(
+	ctx context.Context,
+	services []*types.MCPService,
+	mcpManager *mcp.MCPManager,
+) (map[string][]string, error) {
 	result := make(map[string][]string)
 
 	// Use provided context with timeout

internal/agent/tools/query_knowledge_graph.go

@@ -369,7 +369,10 @@ func (t *QueryKnowledgeGraphTool) Execute(ctx context.Context, args map[string]i
 }
 
 // buildGraphVisualizationData builds structured data for graph visualization
-func buildGraphVisualizationData(results []*types.SearchResult, graphConfigs map[string]map[string]interface{}) map[string]interface{} {
+func buildGraphVisualizationData(
+	results []*types.SearchResult,
+	graphConfigs map[string]map[string]interface{},
+) map[string]interface{} {
 	// Build a simple graph structure for frontend visualization
 	nodes := make([]map[string]interface{}, 0)
 	edges := make([]map[string]interface{}, 0)

internal/agent/tools/registry.go

@@ -69,7 +69,11 @@ func (r *ToolRegistry) GetFunctionDefinitions() []types.FunctionDefinition {
 }
 
 // ExecuteTool executes a tool by name with the given arguments
-func (r *ToolRegistry) ExecuteTool(ctx context.Context, name string, args map[string]interface{}) (*types.ToolResult, error) {
+func (r *ToolRegistry) ExecuteTool(
+	ctx context.Context,
+	name string,
+	args map[string]interface{},
+) (*types.ToolResult, error) {
 	common.PipelineInfo(ctx, "AgentTool", "execute_start", map[string]interface{}{
 		"tool": name,
 		"args": args,

internal/agent/tools/sequentialthinking.go

@@ -196,7 +196,8 @@ func (t *SequentialThinkingTool) Execute(ctx context.Context, args map[string]in
 		branchKeys = append(branchKeys, k)
 	}
 
-	incomplete := thoughtData.NextThoughtNeeded || thoughtData.NeedsMoreThoughts || thoughtData.ThoughtNumber < thoughtData.TotalThoughts
+	incomplete := thoughtData.NextThoughtNeeded || thoughtData.NeedsMoreThoughts ||
+		thoughtData.ThoughtNumber < thoughtData.TotalThoughts
 
 	responseData := map[string]interface{}{
 		"thought_number":         thoughtData.ThoughtNumber,
@@ -209,7 +210,12 @@ func (t *SequentialThinkingTool) Execute(ctx context.Context, args map[string]in
 		"incomplete_steps":       incomplete,
 	}
 
-	logger.Infof(ctx, "[Tool][SequentialThinking] Execute completed - Thought %d/%d", thoughtData.ThoughtNumber, thoughtData.TotalThoughts)
+	logger.Infof(
+		ctx,
+		"[Tool][SequentialThinking] Execute completed - Thought %d/%d",
+		thoughtData.ThoughtNumber,
+		thoughtData.TotalThoughts,
+	)
 
 	outputMsg := "Thought process recorded"
 	if incomplete {

internal/agent/tools/web_fetch.go

@@ -252,7 +252,10 @@ func (t *WebFetchTool) validateParams(p webFetchParams) error {
 	return nil
 }
 
-func (t *WebFetchTool) executeFetch(ctx context.Context, params webFetchParams) (string, map[string]interface{}, error) {
+func (t *WebFetchTool) executeFetch(
+	ctx context.Context,
+	params webFetchParams,
+) (string, map[string]interface{}, error) {
 	logger.Infof(ctx, "[Tool][WebFetch] Fetching URL: %s", params.URL)
 
 	finalURL := t.normalizeGitHubURL(params.URL)
@@ -375,14 +378,17 @@ func (t *WebFetchTool) fetchHTMLContent(ctx context.Context, targetURL string) (
 func (t *WebFetchTool) fetchWithChromedp(ctx context.Context, targetURL string) (string, error) {
 	logger.Debugf(ctx, "[Tool][WebFetch] Chromedp 抓取开始 url=%s", targetURL)
 
-	opts := append(chromedp.DefaultExecAllocatorOptions[:],
+	opts := append(
+		chromedp.DefaultExecAllocatorOptions[:],
 		chromedp.Flag("headless", true),
 		chromedp.Flag("disable-setuid-sandbox", true),
 		chromedp.Flag("disable-dev-shm-usage", true),
 		chromedp.Flag("disable-gpu", true),
 		chromedp.Flag("disable-blink-features", "AutomationControlled"),
 		chromedp.Flag("disable-features", "VizDisplayCompositor"),
-		chromedp.UserAgent("Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"),
+		chromedp.UserAgent(
+			"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
+		),
 	)
 
 	allocCtx, cancel := chromedp.NewExecAllocator(ctx, opts...)
@@ -435,7 +441,10 @@ func (t *WebFetchTool) fetchWithTimeout(ctx context.Context, targetURL string) (
 	}
 
 	req.Header.Set("User-Agent", "Mozilla/5.0 (compatible; WebFetchTool/1.0)")
-	req.Header.Set("Accept", "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8")
+	req.Header.Set(
+		"Accept",
+		"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8",
+	)
 	req.Header.Set("Accept-Language", "zh-CN,zh;q=0.9,en;q=0.8")
 	req.Header.Set("Cache-Control", "no-cache")
 

internal/agent/tools/web_search.go

@@ -57,7 +57,10 @@ func NewWebSearchTool(
 **Parameters**:
 - query (required): Search query string
 
-**Returns**: Web search results with title, URL, snippet, and content (up to ` + fmt.Sprintf("%d", maxResults) + ` results)
+**Returns**: Web search results with title, URL, snippet, and content (up to ` + fmt.Sprintf(
+		"%d",
+		maxResults,
+	) + ` results)
 
 ## Examples
 
@@ -80,7 +83,10 @@ func NewWebSearchTool(
 - Use this tool when knowledge bases don't have the information you need
 - Results include URL, title, snippet, and content snippet (may be truncated)
 - **CRITICAL**: If content is truncated or you need full details, use **web_fetch** to fetch complete page content
-- Maximum ` + fmt.Sprintf("%d", maxResults) + ` results will be returned per search`
+- Maximum ` + fmt.Sprintf(
+		"%d",
+		maxResults,
+	) + ` results will be returned per search`
 
 	return &WebSearchTool{
 		BaseTool:             NewBaseTool("web_search", description),
@@ -152,7 +158,12 @@ func (t *WebSearchTool) Execute(ctx context.Context, args map[string]interface{}
 	searchConfig.MaxResults = t.maxResults
 
 	// Perform web search
-	logger.Infof(ctx, "[Tool][WebSearch] Performing web search with provider: %s, maxResults: %d", searchConfig.Provider, searchConfig.MaxResults)
+	logger.Infof(
+		ctx,
+		"[Tool][WebSearch] Performing web search with provider: %s, maxResults: %d",
+		searchConfig.Provider,
+		searchConfig.MaxResults,
+	)
 	webResults, err := t.webSearchService.Search(ctx, &searchConfig, query)
 	if err != nil {
 		logger.Errorf(ctx, "[Tool][WebSearch] Web search failed: %v", err)
@@ -165,7 +176,8 @@ func (t *WebSearchTool) Execute(ctx context.Context, args map[string]interface{}
 	logger.Infof(ctx, "[Tool][WebSearch] Web search returned %d results", len(webResults))
 
 	// Apply RAG compression if configured
-	if len(webResults) > 0 && tenant.WebSearchConfig.CompressionMethod != "none" && tenant.WebSearchConfig.CompressionMethod != "" {
+	if len(webResults) > 0 && tenant.WebSearchConfig.CompressionMethod != "none" &&
+		tenant.WebSearchConfig.CompressionMethod != "" {
 		// Load session-scoped temp KB state from Redis using SessionService
 		tempKBID, seen, ids := t.sessionService.GetWebSearchTempKBState(ctx, t.sessionID)
 

internal/application/repository/chunk.go

@@ -112,7 +112,11 @@ func (r *chunkRepository) ListPagedChunksByKnowledgeID(
 	return chunks, total, nil
 }
 
-func (r *chunkRepository) ListChunkByParentID(ctx context.Context, tenantID uint64, parentID string) ([]*types.Chunk, error) {
+func (r *chunkRepository) ListChunkByParentID(
+	ctx context.Context,
+	tenantID uint64,
+	parentID string,
+) ([]*types.Chunk, error) {
 	var chunks []*types.Chunk
 	if err := r.db.WithContext(ctx).
 		Where("tenant_id = ? AND parent_chunk_id = ?", tenantID, parentID).
@@ -166,7 +170,11 @@ func (r *chunkRepository) DeleteByKnowledgeList(ctx context.Context, tenantID ui
 }
 
 // CountChunksByKnowledgeBaseID counts the number of chunks in a knowledge base
-func (r *chunkRepository) CountChunksByKnowledgeBaseID(ctx context.Context, tenantID uint64, kbID string) (int64, error) {
+func (r *chunkRepository) CountChunksByKnowledgeBaseID(
+	ctx context.Context,
+	tenantID uint64,
+	kbID string,
+) (int64, error) {
 	var count int64
 	err := r.db.WithContext(ctx).Model(&types.Chunk{}).
 		Where("tenant_id = ? AND knowledge_base_id = ?", tenantID, kbID).
@@ -175,7 +183,11 @@ func (r *chunkRepository) CountChunksByKnowledgeBaseID(ctx context.Context, tena
 }
 
 // DeleteUnindexedChunks by knowledge id and chunk index range
-func (r *chunkRepository) DeleteUnindexedChunks(ctx context.Context, tenantID uint64, knowledgeID string) ([]*types.Chunk, error) {
+func (r *chunkRepository) DeleteUnindexedChunks(
+	ctx context.Context,
+	tenantID uint64,
+	knowledgeID string,
+) ([]*types.Chunk, error) {
 	var chunks []*types.Chunk
 	if err := r.db.WithContext(ctx).
 		Where("tenant_id = ? AND knowledge_id = ? AND status = ?", tenantID, knowledgeID, types.ChunkStatusStored).
@@ -194,7 +206,11 @@ func (r *chunkRepository) DeleteUnindexedChunks(ctx context.Context, tenantID ui
 
 // ListAllFAQChunksByKnowledgeID lists all FAQ chunks for a knowledge ID (only essential fields for efficiency)
 // Uses batch query to handle large datasets
-func (r *chunkRepository) ListAllFAQChunksByKnowledgeID(ctx context.Context, tenantID uint64, knowledgeID string) ([]*types.Chunk, error) {
+func (r *chunkRepository) ListAllFAQChunksByKnowledgeID(
+	ctx context.Context,
+	tenantID uint64,
+	knowledgeID string,
+) ([]*types.Chunk, error) {
 	const batchSize = 1000 // 每批查询1000条
 	var allChunks []*types.Chunk
 	offset := 0

internal/application/repository/knowledge.go

@@ -28,7 +28,11 @@ func (r *knowledgeRepository) CreateKnowledge(ctx context.Context, knowledge *ty
 }
 
 // GetKnowledgeByID gets knowledge
-func (r *knowledgeRepository) GetKnowledgeByID(ctx context.Context, tenantID uint64, id string) (*types.Knowledge, error) {
+func (r *knowledgeRepository) GetKnowledgeByID(
+	ctx context.Context,
+	tenantID uint64,
+	id string,
+) (*types.Knowledge, error) {
 	var knowledge types.Knowledge
 	if err := r.db.WithContext(ctx).Where("tenant_id = ? AND id = ?", tenantID, id).First(&knowledge).Error; err != nil {
 		if errors.Is(err, gorm.ErrRecordNotFound) {
@@ -217,13 +221,22 @@ func (r *knowledgeRepository) AminusB(
 	return knowledgeIDs, err
 }
 
-func (r *knowledgeRepository) UpdateKnowledgeColumn(ctx context.Context, id string, column string, value interface{}) error {
+func (r *knowledgeRepository) UpdateKnowledgeColumn(
+	ctx context.Context,
+	id string,
+	column string,
+	value interface{},
+) error {
 	err := r.db.WithContext(ctx).Model(&types.Knowledge{}).Where("id = ?", id).Update(column, value).Error
 	return err
 }
 
 // CountKnowledgeByKnowledgeBaseID counts the number of knowledge items in a knowledge base
-func (r *knowledgeRepository) CountKnowledgeByKnowledgeBaseID(ctx context.Context, tenantID uint64, kbID string) (int64, error) {
+func (r *knowledgeRepository) CountKnowledgeByKnowledgeBaseID(
+	ctx context.Context,
+	tenantID uint64,
+	kbID string,
+) (int64, error) {
 	var count int64
 	err := r.db.WithContext(ctx).Model(&types.Knowledge{}).
 		Where("tenant_id = ? AND knowledge_base_id = ?", tenantID, kbID).

internal/application/repository/mcp_service.go

@@ -69,7 +69,11 @@ func (r *mcpServiceRepository) ListEnabled(ctx context.Context, tenantID uint64)
 }
 
 // ListByIDs retrieves MCP services by multiple IDs for a tenant
-func (r *mcpServiceRepository) ListByIDs(ctx context.Context, tenantID uint64, ids []string) ([]*types.MCPService, error) {
+func (r *mcpServiceRepository) ListByIDs(
+	ctx context.Context,
+	tenantID uint64,
+	ids []string,
+) ([]*types.MCPService, error) {
 	if len(ids) == 0 {
 		return []*types.MCPService{}, nil
 	}

internal/application/repository/model.go

@@ -79,7 +79,12 @@ func (r *modelRepository) Delete(ctx context.Context, tenantID uint64, id string
 
 // ClearDefaultByType clears the default flag for all models of a specific type
 // This is a batch operation that updates all matching records in one query
-func (r *modelRepository) ClearDefaultByType(ctx context.Context, tenantID uint, modelType types.ModelType, excludeID string) error {
+func (r *modelRepository) ClearDefaultByType(
+	ctx context.Context,
+	tenantID uint,
+	modelType types.ModelType,
+	excludeID string,
+) error {
 	query := r.db.WithContext(ctx).Model(&types.Model{}).Where(
 		"tenant_id = ? AND type = ? AND is_default = ?", tenantID, modelType, true,
 	)

internal/application/repository/retriever/elasticsearch/structs.go

@@ -9,14 +9,14 @@ import (
 
 // VectorEmbedding defines the Elasticsearch document structure for vector embeddings
 type VectorEmbedding struct {
-	Content         string    `json:"content" gorm:"column:content;not null"`            // Text content of the chunk
-	SourceID        string    `json:"source_id" gorm:"column:source_id;not null"`        // ID of the source document
-	SourceType      int       `json:"source_type" gorm:"column:source_type;not null"`    // Type of the source document
-	ChunkID         string    `json:"chunk_id" gorm:"column:chunk_id"`                   // Unique ID of the text chunk
-	KnowledgeID     string    `json:"knowledge_id" gorm:"column:knowledge_id"`           // ID of the knowledge item
-	KnowledgeBaseID string    `json:"knowledge_base_id" gorm:"column:knowledge_base_id"` // ID of the knowledge base
-	Embedding       []float32 `json:"embedding" gorm:"column:embedding;not null"`        // Vector embedding of the content
-	IsEnabled       bool      `json:"is_enabled"`                                        // Whether the chunk is enabled
+	Content         string    `json:"content"           gorm:"column:content;not null"`     // Text content of the chunk
+	SourceID        string    `json:"source_id"         gorm:"column:source_id;not null"`   // ID of the source document
+	SourceType      int       `json:"source_type"       gorm:"column:source_type;not null"` // Type of the source document
+	ChunkID         string    `json:"chunk_id"          gorm:"column:chunk_id"`             // Unique ID of the text chunk
+	KnowledgeID     string    `json:"knowledge_id"      gorm:"column:knowledge_id"`         // ID of the knowledge item
+	KnowledgeBaseID string    `json:"knowledge_base_id" gorm:"column:knowledge_base_id"`    // ID of the knowledge base
+	Embedding       []float32 `json:"embedding"         gorm:"column:embedding;not null"`   // Vector embedding of the content
+	IsEnabled       bool      `json:"is_enabled"`                                           // Whether the chunk is enabled
 }
 
 // VectorEmbeddingWithScore extends VectorEmbedding with similarity score

internal/application/repository/retriever/elasticsearch/v7/repository.go

@@ -1094,7 +1094,10 @@ func (e *elasticsearchRepository) saveCopiedIndices(ctx context.Context, indexIn
 }
 
 // BatchUpdateChunkEnabledStatus updates the enabled status of chunks in batch
-func (e *elasticsearchRepository) BatchUpdateChunkEnabledStatus(ctx context.Context, chunkStatusMap map[string]bool) error {
+func (e *elasticsearchRepository) BatchUpdateChunkEnabledStatus(
+	ctx context.Context,
+	chunkStatusMap map[string]bool,
+) error {
 	log := logger.GetLogger(ctx)
 	if len(chunkStatusMap) == 0 {
 		log.Warnf("[ElasticsearchV7] Chunk status map is empty, skipping update")

internal/application/repository/retriever/elasticsearch/v8/repository.go

@@ -547,7 +547,10 @@ func (e *elasticsearchRepository) CopyIndices(ctx context.Context,
 }
 
 // BatchUpdateChunkEnabledStatus updates the enabled status of chunks in batch
-func (e *elasticsearchRepository) BatchUpdateChunkEnabledStatus(ctx context.Context, chunkStatusMap map[string]bool) error {
+func (e *elasticsearchRepository) BatchUpdateChunkEnabledStatus(
+	ctx context.Context,
+	chunkStatusMap map[string]bool,
+) error {
 	log := logger.GetLogger(ctx)
 	if len(chunkStatusMap) == 0 {
 		log.Warnf("[Elasticsearch] Chunk status map is empty, skipping update")

internal/application/repository/retriever/neo4j/repository.go

@@ -152,7 +152,11 @@ func (n *Neo4jRepository) DelGraph(ctx context.Context, namespaces []types.NameS
 	return nil
 }
 
-func (n *Neo4jRepository) SearchNode(ctx context.Context, namespace types.NameSpace, nodes []string) (*types.GraphData, error) {
+func (n *Neo4jRepository) SearchNode(
+	ctx context.Context,
+	namespace types.NameSpace,
+	nodes []string,
+) (*types.GraphData, error) {
 	if n.driver == nil {
 		logger.Warnf(ctx, "NOT SUPPORT RETRIEVE GRAPH")
 		return nil, nil

internal/application/repository/retriever/postgres/repository.go

@@ -481,7 +481,8 @@ func (g *pgRepository) BatchUpdateChunkEnabledStatus(ctx context.Context, chunkS
 			logger.GetLogger(ctx).Errorf("[Postgres] Failed to update enabled chunks: %v", result.Error)
 			return result.Error
 		}
-		logger.GetLogger(ctx).Infof("[Postgres] Updated %d chunks to enabled, rows affected: %d", len(enabledChunkIDs), result.RowsAffected)
+		logger.GetLogger(ctx).
+			Infof("[Postgres] Updated %d chunks to enabled, rows affected: %d", len(enabledChunkIDs), result.RowsAffected)
 	}
 
 	// Batch update disabled chunks
@@ -493,7 +494,8 @@ func (g *pgRepository) BatchUpdateChunkEnabledStatus(ctx context.Context, chunkS
 			logger.GetLogger(ctx).Errorf("[Postgres] Failed to update disabled chunks: %v", result.Error)
 			return result.Error
 		}
-		logger.GetLogger(ctx).Infof("[Postgres] Updated %d chunks to disabled, rows affected: %d", len(disabledChunkIDs), result.RowsAffected)
+		logger.GetLogger(ctx).
+			Infof("[Postgres] Updated %d chunks to disabled, rows affected: %d", len(disabledChunkIDs), result.RowsAffected)
 	}
 
 	logger.GetLogger(ctx).Infof("[Postgres] Successfully batch updated chunk enabled status")

internal/application/repository/retriever/postgres/structs.go

@@ -13,35 +13,35 @@ import (
 
 // pgVector defines the database model for vector embeddings storage
 type pgVector struct {
-	ID              uint                `json:"id" gorm:"primarykey"`
-	CreatedAt       time.Time           `json:"created_at" gorm:"column:created_at"`
-	UpdatedAt       time.Time           `json:"updated_at" gorm:"column:updated_at"`
-	SourceID        string              `json:"source_id" gorm:"column:source_id;not null"`
-	SourceType      int                 `json:"source_type" gorm:"column:source_type;not null"`
-	ChunkID         string              `json:"chunk_id" gorm:"column:chunk_id"`
-	KnowledgeID     string              `json:"knowledge_id" gorm:"column:knowledge_id"`
+	ID              uint                `json:"id"                gorm:"primarykey"`
+	CreatedAt       time.Time           `json:"created_at"        gorm:"column:created_at"`
+	UpdatedAt       time.Time           `json:"updated_at"        gorm:"column:updated_at"`
+	SourceID        string              `json:"source_id"         gorm:"column:source_id;not null"`
+	SourceType      int                 `json:"source_type"       gorm:"column:source_type;not null"`
+	ChunkID         string              `json:"chunk_id"          gorm:"column:chunk_id"`
+	KnowledgeID     string              `json:"knowledge_id"      gorm:"column:knowledge_id"`
 	KnowledgeBaseID string              `json:"knowledge_base_id" gorm:"column:knowledge_base_id"`
-	Content         string              `json:"content" gorm:"column:content;not null"`
-	Dimension       int                 `json:"dimension" gorm:"column:dimension;not null"`
-	Embedding       pgvector.HalfVector `json:"embedding" gorm:"column:embedding;not null"`
-	IsEnabled       bool                `json:"is_enabled" gorm:"column:is_enabled;default:true;index"`
+	Content         string              `json:"content"           gorm:"column:content;not null"`
+	Dimension       int                 `json:"dimension"         gorm:"column:dimension;not null"`
+	Embedding       pgvector.HalfVector `json:"embedding"         gorm:"column:embedding;not null"`
+	IsEnabled       bool                `json:"is_enabled"        gorm:"column:is_enabled;default:true;index"`
 }
 
 // pgVectorWithScore extends pgVector with similarity score field
 type pgVectorWithScore struct {
-	ID              uint                `json:"id" gorm:"primarykey"`
-	CreatedAt       time.Time           `json:"created_at" gorm:"column:created_at"`
-	UpdatedAt       time.Time           `json:"updated_at" gorm:"column:updated_at"`
-	SourceID        string              `json:"source_id" gorm:"column:source_id;not null"`
-	SourceType      int                 `json:"source_type" gorm:"column:source_type;not null"`
-	ChunkID         string              `json:"chunk_id" gorm:"column:chunk_id"`
-	KnowledgeID     string              `json:"knowledge_id" gorm:"column:knowledge_id"`
+	ID              uint                `json:"id"                gorm:"primarykey"`
+	CreatedAt       time.Time           `json:"created_at"        gorm:"column:created_at"`
+	UpdatedAt       time.Time           `json:"updated_at"        gorm:"column:updated_at"`
+	SourceID        string              `json:"source_id"         gorm:"column:source_id;not null"`
+	SourceType      int                 `json:"source_type"       gorm:"column:source_type;not null"`
+	ChunkID         string              `json:"chunk_id"          gorm:"column:chunk_id"`
+	KnowledgeID     string              `json:"knowledge_id"      gorm:"column:knowledge_id"`
 	KnowledgeBaseID string              `json:"knowledge_base_id" gorm:"column:knowledge_base_id"`
-	Content         string              `json:"content" gorm:"column:content;not null"`
-	Dimension       int                 `json:"dimension" gorm:"column:dimension;not null"`
-	Embedding       pgvector.HalfVector `json:"embedding" gorm:"column:embedding;not null"`
-	IsEnabled       bool                `json:"is_enabled" gorm:"column:is_enabled;default:true;index"`
-	Score           float64             `json:"score" gorm:"column:score"`
+	Content         string              `json:"content"           gorm:"column:content;not null"`
+	Dimension       int                 `json:"dimension"         gorm:"column:dimension;not null"`
+	Embedding       pgvector.HalfVector `json:"embedding"         gorm:"column:embedding;not null"`
+	IsEnabled       bool                `json:"is_enabled"        gorm:"column:is_enabled;default:true;index"`
+	Score           float64             `json:"score"             gorm:"column:score"`
 }
 
 // TableName specifies the database table name for pgVectorWithScore

internal/application/repository/tag.go

@@ -35,7 +35,11 @@ func (r *knowledgeTagRepository) GetByID(ctx context.Context, tenantID uint64, i
 	return &tag, nil
 }
 
-func (r *knowledgeTagRepository) ListByKB(ctx context.Context, tenantID uint64, kbID string) ([]*types.KnowledgeTag, error) {
+func (r *knowledgeTagRepository) ListByKB(
+	ctx context.Context,
+	tenantID uint64,
+	kbID string,
+) ([]*types.KnowledgeTag, error) {
 	var tags []*types.KnowledgeTag
 	if err := r.db.WithContext(ctx).
 		Where("tenant_id = ? AND knowledge_base_id = ?", tenantID, kbID).

internal/application/service/agent_service.go

@@ -184,7 +184,13 @@ func (s *agentService) registerTools(
 	if tid, ok := ctx.Value(types.TenantIDContextKey).(uint64); ok {
 		tenantID = tid
 	}
-	logger.Infof(ctx, "Registering tools: %v, tenant ID: %d, webSearchEnabled: %v", allowedTools, tenantID, config.WebSearchEnabled)
+	logger.Infof(
+		ctx,
+		"Registering tools: %v, tenant ID: %d, webSearchEnabled: %v",
+		allowedTools,
+		tenantID,
+		config.WebSearchEnabled,
+	)
 
 	// Register each allowed tool
 	for _, toolName := range allowedTools {
@@ -224,7 +230,12 @@ func (s *agentService) registerTools(
 				sessionID,
 				config.WebSearchMaxResults,
 			))
-			logger.Infof(ctx, "Registered web_search tool for session: %s, maxResults: %d", sessionID, config.WebSearchMaxResults)
+			logger.Infof(
+				ctx,
+				"Registered web_search tool for session: %s, maxResults: %d",
+				sessionID,
+				config.WebSearchMaxResults,
+			)
 
 		case "web_fetch":
 			registry.RegisterTool(tools.NewWebFetchTool(chatModel))

internal/application/service/chat_pipline/merge.go

@@ -212,7 +212,11 @@ func mergeImageInfo(ctx context.Context, target *types.SearchResult, source *typ
 	return nil
 }
 
-func (p *PluginMerge) populateFAQAnswers(ctx context.Context, chatManage *types.ChatManage, results []*types.SearchResult) []*types.SearchResult {
+func (p *PluginMerge) populateFAQAnswers(
+	ctx context.Context,
+	chatManage *types.ChatManage,
+	results []*types.SearchResult,
+) []*types.SearchResult {
 	if len(results) == 0 || p.chunkRepo == nil {
 		return results
 	}
@@ -332,7 +336,11 @@ func buildFAQAnswerContent(meta *types.FAQChunkMetadata) string {
 	return strings.TrimSpace(builder.String())
 }
 
-func (p *PluginMerge) expandShortContextWithNeighbors(ctx context.Context, chatManage *types.ChatManage, results []*types.SearchResult) []*types.SearchResult {
+func (p *PluginMerge) expandShortContextWithNeighbors(
+	ctx context.Context,
+	chatManage *types.ChatManage,
+	results []*types.SearchResult,
+) []*types.SearchResult {
 	const (
 		minLen = 350
 		maxLen = 850
@@ -495,7 +503,8 @@ func (p *PluginMerge) expandShortContextWithNeighbors(ctx context.Context, chatM
 			expanded := false
 			if prevCursor != "" {
 				p.fetchChunksIfMissing(ctx, tenantID, chunkMap, prevCursor)
-				if prevChunk := chunkMap[prevCursor]; prevChunk != nil && prevChunk.KnowledgeID == baseChunk.KnowledgeID {
+				if prevChunk := chunkMap[prevCursor]; prevChunk != nil &&
+					prevChunk.KnowledgeID == baseChunk.KnowledgeID {
 					prevContent = concatNoOverlap(prevChunk.Content, prevContent)
 					prevIDs = append([]string{prevChunk.ID}, prevIDs...)
 					prevCursor = prevChunk.PreChunkID
@@ -512,7 +521,8 @@ func (p *PluginMerge) expandShortContextWithNeighbors(ctx context.Context, chatM
 
 			if nextCursor != "" {
 				p.fetchChunksIfMissing(ctx, tenantID, chunkMap, nextCursor)
-				if nextChunk := chunkMap[nextCursor]; nextChunk != nil && nextChunk.KnowledgeID == baseChunk.KnowledgeID {
+				if nextChunk := chunkMap[nextCursor]; nextChunk != nil &&
+					nextChunk.KnowledgeID == baseChunk.KnowledgeID {
 					nextContent = concatNoOverlap(nextContent, nextChunk.Content)
 					nextIDs = append(nextIDs, nextChunk.ID)
 					nextCursor = nextChunk.NextChunkID
@@ -625,7 +635,12 @@ func containsID(ids []string, target string) bool {
 	return false
 }
 
-func (p *PluginMerge) fetchChunksIfMissing(ctx context.Context, tenantID uint64, chunkMap map[string]*types.Chunk, chunkIDs ...string) {
+func (p *PluginMerge) fetchChunksIfMissing(
+	ctx context.Context,
+	tenantID uint64,
+	chunkMap map[string]*types.Chunk,
+	chunkIDs ...string,
+) {
 	missing := make([]string, 0, len(chunkIDs))
 	for _, id := range chunkIDs {
 		if id == "" {

internal/application/service/chat_pipline/preprocess.go

@@ -91,7 +91,12 @@ func (p *PluginPreprocess) ActivationEvents() []types.EventType {
 }
 
 // OnEvent Process events
-func (p *PluginPreprocess) OnEvent(ctx context.Context, eventType types.EventType, chatManage *types.ChatManage, next func() *PluginError) *PluginError {
+func (p *PluginPreprocess) OnEvent(
+	ctx context.Context,
+	eventType types.EventType,
+	chatManage *types.ChatManage,
+	next func() *PluginError,
+) *PluginError {
 	rawQuery := strings.TrimSpace(chatManage.RewriteQuery)
 	if rawQuery == "" {
 		return next()
@@ -270,15 +275,30 @@ type intentResp struct {
 
 func (p *PluginPreprocess) detectIntentLLM(ctx context.Context, chatManage *types.ChatManage, text string) string {
 	if p.modelService == nil || chatManage.ChatModelID == "" {
-		pipelineWarn(ctx, "IntentDetect", "skip", map[string]interface{}{"reason": "no_model", "session_id": chatManage.SessionID})
+		pipelineWarn(
+			ctx,
+			"IntentDetect",
+			"skip",
+			map[string]interface{}{"reason": "no_model", "session_id": chatManage.SessionID},
+		)
 		return "general"
 	}
 	chatModel, err := p.modelService.GetChatModel(ctx, chatManage.ChatModelID)
 	if err != nil {
-		pipelineWarn(ctx, "IntentDetect", "get_model_failed", map[string]interface{}{"error": err.Error(), "model_id": chatManage.ChatModelID})
+		pipelineWarn(
+			ctx,
+			"IntentDetect",
+			"get_model_failed",
+			map[string]interface{}{"error": err.Error(), "model_id": chatManage.ChatModelID},
+		)
 		return "general"
 	}
-	pipelineInfo(ctx, "IntentDetect", "start", map[string]interface{}{"session_id": chatManage.SessionID, "model_id": chatManage.ChatModelID})
+	pipelineInfo(
+		ctx,
+		"IntentDetect",
+		"start",
+		map[string]interface{}{"session_id": chatManage.SessionID, "model_id": chatManage.ChatModelID},
+	)
 	sys := "You are a query intent classifier. Classify the user's query into one of: definition, howto, compare, qa, general. Respond ONLY with a JSON object {\"intent\": \"...\", \"confidence\": 0.0 } inside a markdown fenced block."
 	usr := text
 	think := false
@@ -296,7 +316,12 @@ func (p *PluginPreprocess) detectIntentLLM(ctx context.Context, chatManage *type
 		pipelineWarn(ctx, "IntentDetect", "parse_failed", map[string]interface{}{"body": body, "error": err.Error()})
 		return "general"
 	}
-	pipelineInfo(ctx, "IntentDetect", "result", map[string]interface{}{"intent": ir.Intent, "confidence": ir.Confidence})
+	pipelineInfo(
+		ctx,
+		"IntentDetect",
+		"result",
+		map[string]interface{}{"intent": ir.Intent, "confidence": ir.Confidence},
+	)
 	switch strings.ToLower(strings.TrimSpace(ir.Intent)) {
 	case "definition", "howto", "compare", "qa", "general":
 		return strings.ToLower(ir.Intent)

internal/application/service/chat_pipline/rerank.go

@@ -222,7 +222,13 @@ func compositeScore(sr *types.SearchResult, modelScore, baseScore float64, chatM
 	return composite
 }
 
-func applyMMR(ctx context.Context, results []*types.SearchResult, chatManage *types.ChatManage, k int, lambda float64) []*types.SearchResult {
+func applyMMR(
+	ctx context.Context,
+	results []*types.SearchResult,
+	chatManage *types.ChatManage,
+	k int,
+	lambda float64,
+) []*types.SearchResult {
 	if k <= 0 || len(results) == 0 {
 		return nil
 	}

internal/application/service/chat_pipline/search.go

@@ -299,7 +299,11 @@ func buildContentSignature(content string) string {
 }
 
 // searchKnowledgeBases performs KB searches for rewrite and processed queries across KB IDs
-func (p *PluginSearch) searchKnowledgeBases(ctx context.Context, knowledgeBaseIDs []string, chatManage *types.ChatManage) []*types.SearchResult {
+func (p *PluginSearch) searchKnowledgeBases(
+	ctx context.Context,
+	knowledgeBaseIDs []string,
+	chatManage *types.ChatManage,
+) []*types.SearchResult {
 	// Build base params for rewrite query
 	baseParams := types.SearchParams{
 		QueryText:        strings.TrimSpace(chatManage.RewriteQuery),

internal/application/service/chat_pipline/search_entity.go

@@ -77,7 +77,13 @@ func (p *PluginSearchEntity) OnEvent(ctx context.Context,
 				return
 			}
 
-			logger.Infof(ctx, "KB %s entity search result count: %d nodes, %d relations", knowledgeBaseID, len(graph.Node), len(graph.Relation))
+			logger.Infof(
+				ctx,
+				"KB %s entity search result count: %d nodes, %d relations",
+				knowledgeBaseID,
+				len(graph.Node),
+				len(graph.Relation),
+			)
 
 			mu.Lock()
 			allNodes = append(allNodes, graph.Node...)
@@ -109,7 +115,11 @@ func (p *PluginSearchEntity) OnEvent(ctx context.Context,
 	for _, chunk := range chunks {
 		knowledgeIDs = append(knowledgeIDs, chunk.KnowledgeID)
 	}
-	knowledges, err := p.knowledgeRepo.GetKnowledgeBatch(ctx, ctx.Value(types.TenantIDContextKey).(uint64), knowledgeIDs)
+	knowledges, err := p.knowledgeRepo.GetKnowledgeBatch(
+		ctx,
+		ctx.Value(types.TenantIDContextKey).(uint64),
+		knowledgeIDs,
+	)
 	if err != nil {
 		logger.Errorf(ctx, "Failed to list knowledge, session_id: %s, error: %v", chatManage.SessionID, err)
 		return next()
@@ -129,7 +139,12 @@ func (p *PluginSearchEntity) OnEvent(ctx context.Context,
 		logger.Infof(ctx, "No new search result, session_id: %s", chatManage.SessionID)
 		return ErrSearchNothing
 	}
-	logger.Infof(ctx, "search entity result count: %d, session_id: %s", len(chatManage.SearchResult), chatManage.SessionID)
+	logger.Infof(
+		ctx,
+		"search entity result count: %d, session_id: %s",
+		len(chatManage.SearchResult),
+		chatManage.SessionID,
+	)
 	return next()
 }
 

internal/application/service/chunk.go

@@ -138,7 +138,14 @@ func (s *chunkService) ListPagedChunksByKnowledgeID(ctx context.Context,
 	knowledgeID string, page *types.Pagination, chunkType []types.ChunkType,
 ) (*types.PageResult, error) {
 	tenantID := ctx.Value(types.TenantIDContextKey).(uint64)
-	chunks, total, err := s.chunkRepository.ListPagedChunksByKnowledgeID(ctx, tenantID, knowledgeID, page, chunkType, "")
+	chunks, total, err := s.chunkRepository.ListPagedChunksByKnowledgeID(
+		ctx,
+		tenantID,
+		knowledgeID,
+		page,
+		chunkType,
+		"",
+	)
 	if err != nil {
 		logger.ErrorWithFields(ctx, err, map[string]interface{}{
 			"knowledge_id": knowledgeID,
@@ -298,7 +305,11 @@ func (s *chunkService) DeleteByKnowledgeList(ctx context.Context, ids []string)
 	return nil
 }
 
-func (s *chunkService) ListChunkByParentID(ctx context.Context, tenantID uint64, parentID string) ([]*types.Chunk, error) {
+func (s *chunkService) ListChunkByParentID(
+	ctx context.Context,
+	tenantID uint64,
+	parentID string,
+) ([]*types.Chunk, error) {
 	logger.Info(ctx, "Start listing chunk by parent ID")
 	logger.Infof(ctx, "Parent ID: %s", parentID)
 

internal/application/service/extract.go

@@ -16,7 +16,13 @@ import (
 	"github.com/hibiken/asynq"
 )
 
-func NewChunkExtractTask(ctx context.Context, client *asynq.Client, tenantID uint64, chunkID string, modelID string) error {
+func NewChunkExtractTask(
+	ctx context.Context,
+	client *asynq.Client,
+	tenantID uint64,
+	chunkID string,
+	modelID string,
+) error {
 	if strings.ToLower(os.Getenv("NEO4J_ENABLE")) != "true" {
 		logger.Warn(ctx, "NEO4J is not enabled, skip chunk extract task")
 		return nil

internal/application/service/knowledge.go

@@ -307,7 +307,13 @@ func (s *knowledgeService) CreateKnowledgeFromFile(ctx context.Context,
 		// 即使入队失败，也返回knowledge，因为文件已保存
 		return knowledge, nil
 	}
-	logger.Infof(ctx, "Enqueued document process task: id=%s queue=%s knowledge_id=%s", info.ID, info.Queue, knowledge.ID)
+	logger.Infof(
+		ctx,
+		"Enqueued document process task: id=%s queue=%s knowledge_id=%s",
+		info.ID,
+		info.Queue,
+		knowledge.ID,
+	)
 
 	logger.Infof(ctx, "Knowledge from file created successfully, ID: %s", knowledge.ID)
 	return knowledge, nil
@@ -664,7 +670,10 @@ func (s *knowledgeService) DeleteKnowledge(ctx context.Context, id string) error
 	// Delete knowledge embeddings from vector store
 	wg.Go(func() error {
 		tenantInfo := ctx.Value(types.TenantInfoContextKey).(*types.Tenant)
-		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(s.retrieveEngine, tenantInfo.RetrieverEngines.Engines)
+		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(
+			s.retrieveEngine,
+			tenantInfo.RetrieverEngines.Engines,
+		)
 		if err != nil {
 			logger.GetLogger(ctx).WithField("error", err).Errorf("DeleteKnowledge delete knowledge embedding failed")
 			return err
@@ -738,7 +747,10 @@ func (s *knowledgeService) DeleteKnowledgeList(ctx context.Context, ids []string
 	// 2. Delete knowledge embeddings from vector store
 	wg.Go(func() error {
 		tenantInfo := ctx.Value(types.TenantInfoContextKey).(*types.Tenant)
-		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(s.retrieveEngine, tenantInfo.RetrieverEngines.Engines)
+		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(
+			s.retrieveEngine,
+			tenantInfo.RetrieverEngines.Engines,
+		)
 		if err != nil {
 			logger.GetLogger(ctx).WithField("error", err).Errorf("DeleteKnowledge delete knowledge embedding failed")
 			return err
@@ -754,7 +766,9 @@ func (s *knowledgeService) DeleteKnowledgeList(ctx context.Context, ids []string
 				return err
 			}
 			if err := retrieveEngine.DeleteByKnowledgeIDList(ctx, knowledgeList, embeddingModel.GetDimensions()); err != nil {
-				logger.GetLogger(ctx).WithField("error", err).Errorf("DeleteKnowledge delete knowledge embedding failed")
+				logger.GetLogger(ctx).
+					WithField("error", err).
+					Errorf("DeleteKnowledge delete knowledge embedding failed")
 				return err
 			}
 		}
@@ -792,7 +806,10 @@ func (s *knowledgeService) DeleteKnowledgeList(ctx context.Context, ids []string
 	wg.Go(func() error {
 		namespaces := []types.NameSpace{}
 		for _, knowledge := range knowledgeList {
-			namespaces = append(namespaces, types.NameSpace{KnowledgeBase: knowledge.KnowledgeBaseID, Knowledge: knowledge.ID})
+			namespaces = append(
+				namespaces,
+				types.NameSpace{KnowledgeBase: knowledge.KnowledgeBaseID, Knowledge: knowledge.ID},
+			)
 		}
 		if err := s.graphEngine.DelGraph(ctx, namespaces); err != nil {
 			logger.GetLogger(ctx).WithField("error", err).Errorf("DeleteKnowledge delete knowledge graph failed")
@@ -808,7 +825,11 @@ func (s *knowledgeService) DeleteKnowledgeList(ctx context.Context, ids []string
 	return s.repo.DeleteKnowledgeList(ctx, tenantInfo.ID, ids)
 }
 
-func (s *knowledgeService) cloneKnowledge(ctx context.Context, src *types.Knowledge, targetKB *types.KnowledgeBase) (err error) {
+func (s *knowledgeService) cloneKnowledge(
+	ctx context.Context,
+	src *types.Knowledge,
+	targetKB *types.KnowledgeBase,
+) (err error) {
 	if src.ParseStatus != "completed" {
 		logger.GetLogger(ctx).WithField("knowledge_id", src.ID).Errorf("MoveKnowledge parse status is not completed")
 		return nil
@@ -1657,7 +1678,12 @@ func (s *knowledgeService) updateChunkVector(ctx context.Context, kbID string, c
 	return nil
 }
 
-func (s *knowledgeService) UpdateImageInfo(ctx context.Context, knowledgeID string, chunkID string, imageInfo string) error {
+func (s *knowledgeService) UpdateImageInfo(
+	ctx context.Context,
+	knowledgeID string,
+	chunkID string,
+	imageInfo string,
+) error {
 	var images []*types.ImageInfo
 	if err := json.Unmarshal([]byte(imageInfo), &images); err != nil {
 		logger.Errorf(ctx, "Failed to unmarshal image info: %v", err)
@@ -2165,7 +2191,12 @@ func (s *knowledgeService) executeFAQImport(ctx context.Context, taskID string,
 
 	if payload.Mode == types.FAQBatchModeReplace {
 		// Replace模式：计算需要删除、创建、更新的条目
-		entriesToProcess, chunksToDelete, skippedCount, err = s.calculateReplaceOperations(ctx, tenantID, faqKnowledge.ID, payload.Entries)
+		entriesToProcess, chunksToDelete, skippedCount, err = s.calculateReplaceOperations(
+			ctx,
+			tenantID,
+			faqKnowledge.ID,
+			payload.Entries,
+		)
 		if err != nil {
 			return fmt.Errorf("failed to calculate replace operations: %w", err)
 		}
@@ -2193,7 +2224,14 @@ func (s *knowledgeService) executeFAQImport(ctx context.Context, taskID string,
 		}
 	}
 
-	logger.Infof(ctx, "FAQ import task %s: total entries: %d, to process: %d, skipped: %d", taskID, len(payload.Entries), len(entriesToProcess), skippedCount)
+	logger.Infof(
+		ctx,
+		"FAQ import task %s: total entries: %d, to process: %d, skipped: %d",
+		taskID,
+		len(payload.Entries),
+		len(entriesToProcess),
+		skippedCount,
+	)
 
 	// 如果没有需要处理的条目，直接返回
 	if len(entriesToProcess) == 0 {
@@ -2206,7 +2244,14 @@ func (s *knowledgeService) executeFAQImport(ctx context.Context, taskID string,
 	totalStartTime := time.Now()
 	actualProcessed := skippedCount + processedCount
 
-	logger.Infof(ctx, "FAQ import task %s: starting batch processing, remaining entries: %d, total entries: %d, batch size: %d", taskID, remainingEntries, totalEntries, faqImportBatchSize)
+	logger.Infof(
+		ctx,
+		"FAQ import task %s: starting batch processing, remaining entries: %d, total entries: %d, batch size: %d",
+		taskID,
+		remainingEntries,
+		totalEntries,
+		faqImportBatchSize,
+	)
 
 	for i := 0; i < remainingEntries; i += faqImportBatchSize {
 		batchStartTime := time.Now()
@@ -2263,7 +2308,15 @@ func (s *knowledgeService) executeFAQImport(ctx context.Context, taskID string,
 			return fmt.Errorf("failed to create chunks: %w", err)
 		}
 		createDuration := time.Since(createStartTime)
-		logger.Infof(ctx, "FAQ import task %s: batch %d-%d created %d chunks in %v", taskID, i+1, end, len(chunks), createDuration)
+		logger.Infof(
+			ctx,
+			"FAQ import task %s: batch %d-%d created %d chunks in %v",
+			taskID,
+			i+1,
+			end,
+			len(chunks),
+			createDuration,
+		)
 
 		// 索引chunks
 		indexStartTime := time.Now()
@@ -2272,7 +2325,15 @@ func (s *knowledgeService) executeFAQImport(ctx context.Context, taskID string,
 			return fmt.Errorf("failed to index chunks: %w", err)
 		}
 		indexDuration := time.Since(indexStartTime)
-		logger.Infof(ctx, "FAQ import task %s: batch %d-%d indexed %d chunks in %v", taskID, i+1, end, len(chunks), indexDuration)
+		logger.Infof(
+			ctx,
+			"FAQ import task %s: batch %d-%d indexed %d chunks in %v",
+			taskID,
+			i+1,
+			end,
+			len(chunks),
+			indexDuration,
+		)
 
 		// 更新chunks的Status为已索引
 		chunksToUpdate := make([]*types.Chunk, 0, len(chunks))
@@ -2292,13 +2353,32 @@ func (s *knowledgeService) executeFAQImport(ctx context.Context, taskID string,
 		}
 
 		batchDuration := time.Since(batchStartTime)
-		logger.Infof(ctx, "FAQ import task %s: batch %d-%d completed in %v (build: %v, create: %v, index: %v), total progress: %d/%d (%d%%)",
-			taskID, i+1, end, batchDuration, buildDuration, createDuration, indexDuration, actualProcessed, totalEntries, progress)
+		logger.Infof(
+			ctx,
+			"FAQ import task %s: batch %d-%d completed in %v (build: %v, create: %v, index: %v), total progress: %d/%d (%d%%)",
+			taskID,
+			i+1,
+			end,
+			batchDuration,
+			buildDuration,
+			createDuration,
+			indexDuration,
+			actualProcessed,
+			totalEntries,
+			progress,
+		)
 	}
 
 	totalDuration := time.Since(totalStartTime)
-	logger.Infof(ctx, "FAQ import task %s: all batches completed, processed: %d entries (skipped: %d) in %v, avg: %v per entry",
-		taskID, actualProcessed, skippedCount, totalDuration, totalDuration/time.Duration(actualProcessed))
+	logger.Infof(
+		ctx,
+		"FAQ import task %s: all batches completed, processed: %d entries (skipped: %d) in %v, avg: %v per entry",
+		taskID,
+		actualProcessed,
+		skippedCount,
+		totalDuration,
+		totalDuration/time.Duration(actualProcessed),
+	)
 
 	return nil
 }
@@ -2358,7 +2438,10 @@ func (s *knowledgeService) UpdateFAQEntry(ctx context.Context,
 	if isEnabledUpdated {
 		chunkStatusMap := map[string]bool{chunk.ID: chunk.IsEnabled}
 		tenantInfo := ctx.Value(types.TenantInfoContextKey).(*types.Tenant)
-		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(s.retrieveEngine, tenantInfo.RetrieverEngines.Engines)
+		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(
+			s.retrieveEngine,
+			tenantInfo.RetrieverEngines.Engines,
+		)
 		if err != nil {
 			return err
 		}
@@ -2464,7 +2547,10 @@ func (s *knowledgeService) UpdateFAQEntryStatusBatch(ctx context.Context,
 	// Sync update to retriever engines
 	if len(chunkStatusMap) > 0 {
 		tenantInfo := ctx.Value(types.TenantInfoContextKey).(*types.Tenant)
-		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(s.retrieveEngine, tenantInfo.RetrieverEngines.Engines)
+		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(
+			s.retrieveEngine,
+			tenantInfo.RetrieverEngines.Engines,
+		)
 		if err != nil {
 			return err
 		}
@@ -2839,7 +2925,11 @@ func (s *knowledgeService) validateFAQKnowledgeBase(ctx context.Context, kbID st
 	return kb, nil
 }
 
-func (s *knowledgeService) findFAQKnowledge(ctx context.Context, tenantID uint64, kbID string) (*types.Knowledge, error) {
+func (s *knowledgeService) findFAQKnowledge(
+	ctx context.Context,
+	tenantID uint64,
+	kbID string,
+) (*types.Knowledge, error) {
 	knowledges, err := s.repo.ListKnowledgeByKnowledgeBaseID(ctx, tenantID, kbID)
 	if err != nil {
 		return nil, err
@@ -2852,7 +2942,11 @@ func (s *knowledgeService) findFAQKnowledge(ctx context.Context, tenantID uint64
 	return nil, nil
 }
 
-func (s *knowledgeService) ensureFAQKnowledge(ctx context.Context, tenantID uint64, kb *types.KnowledgeBase) (*types.Knowledge, error) {
+func (s *knowledgeService) ensureFAQKnowledge(
+	ctx context.Context,
+	tenantID uint64,
+	kb *types.KnowledgeBase,
+) (*types.Knowledge, error) {
 	existing, err := s.findFAQKnowledge(ctx, tenantID, kb.ID)
 	if err != nil {
 		return nil, err
@@ -2879,15 +2973,23 @@ func (s *knowledgeService) ensureFAQKnowledge(ctx context.Context, tenantID uint
 	return knowledge, nil
 }
 
-func (s *knowledgeService) updateFAQImportStatus(ctx context.Context, knowledgeID string, status types.FAQImportTaskStatus,
-	progress, total, processed int, errorMsg string,
+func (s *knowledgeService) updateFAQImportStatus(
+	ctx context.Context,
+	knowledgeID string,
+	status types.FAQImportTaskStatus,
+	progress, total, processed int,
+	errorMsg string,
 ) error {
 	return s.updateFAQImportStatusWithRanges(ctx, knowledgeID, status, progress, total, processed, errorMsg)
 }
 
 // updateFAQImportStatusWithRanges 更新FAQ Knowledge的导入任务状态，包含NextChunkIndex
-func (s *knowledgeService) updateFAQImportStatusWithRanges(ctx context.Context, knowledgeID string, status types.FAQImportTaskStatus,
-	progress, total, processed int, errorMsg string,
+func (s *knowledgeService) updateFAQImportStatusWithRanges(
+	ctx context.Context,
+	knowledgeID string,
+	status types.FAQImportTaskStatus,
+	progress, total, processed int,
+	errorMsg string,
 ) error {
 	tenantID := ctx.Value(types.TenantIDContextKey).(uint64)
 	knowledge, err := s.repo.GetKnowledgeByID(ctx, tenantID, knowledgeID)
@@ -2925,7 +3027,11 @@ func (s *knowledgeService) updateFAQImportStatusWithRanges(ctx context.Context,
 }
 
 // getRunningFAQImportTask 获取指定知识库的进行中导入任务
-func (s *knowledgeService) getRunningFAQImportTask(ctx context.Context, kbID string, tenantID uint64) (*types.Knowledge, error) {
+func (s *knowledgeService) getRunningFAQImportTask(
+	ctx context.Context,
+	kbID string,
+	tenantID uint64,
+) (*types.Knowledge, error) {
 	faqKnowledge, err := s.findFAQKnowledge(ctx, tenantID, kbID)
 	if err != nil {
 		return nil, err
@@ -3023,7 +3129,11 @@ func buildFAQIndexContent(meta *types.FAQChunkMetadata, mode types.FAQIndexMode)
 }
 
 // buildFAQIndexInfoList 构建FAQ索引信息列表，支持分别索引模式
-func (s *knowledgeService) buildFAQIndexInfoList(ctx context.Context, kb *types.KnowledgeBase, chunk *types.Chunk) ([]*types.IndexInfo, error) {
+func (s *knowledgeService) buildFAQIndexInfoList(
+	ctx context.Context,
+	kb *types.KnowledgeBase,
+	chunk *types.Chunk,
+) ([]*types.IndexInfo, error) {
 	indexMode := types.FAQIndexModeQuestionAnswer
 	questionIndexMode := types.FAQQuestionIndexModeCombined
 	if kb.FAQConfig != nil {
@@ -3137,7 +3247,13 @@ func (s *knowledgeService) indexFAQChunks(ctx context.Context,
 		chunkIDs = append(chunkIDs, chunk.ID)
 	}
 	buildIndexInfoDuration := time.Since(buildIndexInfoStartTime)
-	logger.Debugf(ctx, "indexFAQChunks: built %d index info entries for %d chunks in %v", len(indexInfo), len(chunks), buildIndexInfoDuration)
+	logger.Debugf(
+		ctx,
+		"indexFAQChunks: built %d index info entries for %d chunks in %v",
+		len(indexInfo),
+		len(chunks),
+		buildIndexInfoDuration,
+	)
 
 	var size int64
 	if adjustStorage {
@@ -3195,8 +3311,16 @@ func (s *knowledgeService) indexFAQChunks(ctx context.Context,
 	}
 
 	totalDuration := time.Since(indexStartTime)
-	logger.Debugf(ctx, "indexFAQChunks: completed indexing %d chunks in %v (build: %v, delete: %v, batchIndex: %v, update: %v)",
-		len(chunks), totalDuration, buildIndexInfoDuration, deleteDuration, batchIndexDuration, updateDuration)
+	logger.Debugf(
+		ctx,
+		"indexFAQChunks: completed indexing %d chunks in %v (build: %v, delete: %v, batchIndex: %v, update: %v)",
+		len(chunks),
+		totalDuration,
+		buildIndexInfoDuration,
+		deleteDuration,
+		batchIndexDuration,
+		updateDuration,
+	)
 
 	return err
 }
@@ -3311,7 +3435,9 @@ func (s *knowledgeService) triggerManualProcessing(ctx context.Context,
 			Separators:       kb.ChunkingConfig.Separators,
 			EnableMultimodal: enableMultimodel,
 			StorageConfig: &proto.StorageConfig{
-				Provider:        proto.StorageProvider(proto.StorageProvider_value[strings.ToUpper(kb.StorageConfig.Provider)]),
+				Provider: proto.StorageProvider(
+					proto.StorageProvider_value[strings.ToUpper(kb.StorageConfig.Provider)],
+				),
 				Region:          kb.StorageConfig.Region,
 				BucketName:      kb.StorageConfig.BucketName,
 				AccessKeyId:     kb.StorageConfig.SecretID,
@@ -3354,7 +3480,10 @@ func (s *knowledgeService) cleanupKnowledgeResources(ctx context.Context, knowle
 
 	tenantInfo := ctx.Value(types.TenantInfoContextKey).(*types.Tenant)
 	if knowledge.EmbeddingModelID != "" {
-		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(s.retrieveEngine, tenantInfo.RetrieverEngines.Engines)
+		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(
+			s.retrieveEngine,
+			tenantInfo.RetrieverEngines.Engines,
+		)
 		if err != nil {
 			logger.GetLogger(ctx).WithField("error", err).Error("Failed to init retrieve engine during cleanup")
 			cleanupErr = errors.Join(cleanupErr, err)
@@ -3470,12 +3599,18 @@ func (s *knowledgeService) ProcessDocument(ctx context.Context, t *asynq.Task) e
 	if knowledge.ParseStatus == "failed" {
 		// 检查是否可恢复（例如：超时、临时错误等）
 		// 对于不可恢复的错误，直接返回
-		logger.Warnf(ctx, "Document processing previously failed: %s, error: %s", payload.KnowledgeID, knowledge.ErrorMessage)
+		logger.Warnf(
+			ctx,
+			"Document processing previously failed: %s, error: %s",
+			payload.KnowledgeID,
+			knowledge.ErrorMessage,
+		)
 		// 这里可以根据错误类型判断是否可恢复，暂时允许重试
 	}
 
 	// 检查是否有部分处理（有chunks但状态不是completed）
-	if knowledge.ParseStatus != "completed" && knowledge.ParseStatus != "pending" && knowledge.ParseStatus != "processing" {
+	if knowledge.ParseStatus != "completed" && knowledge.ParseStatus != "pending" &&
+		knowledge.ParseStatus != "processing" {
 		// 状态异常，记录日志但继续处理
 		logger.Warnf(ctx, "Unexpected parse status: %s for knowledge: %s", knowledge.ParseStatus, payload.KnowledgeID)
 	}
@@ -3546,7 +3681,9 @@ func (s *knowledgeService) ProcessDocument(ctx context.Context, t *asynq.Task) e
 				Separators:       kb.ChunkingConfig.Separators,
 				EnableMultimodal: payload.EnableMultimodel,
 				StorageConfig: &proto.StorageConfig{
-					Provider:        proto.StorageProvider(proto.StorageProvider_value[strings.ToUpper(kb.StorageConfig.Provider)]),
+					Provider: proto.StorageProvider(
+						proto.StorageProvider_value[strings.ToUpper(kb.StorageConfig.Provider)],
+					),
 					Region:          kb.StorageConfig.Region,
 					BucketName:      kb.StorageConfig.BucketName,
 					AccessKeyId:     kb.StorageConfig.SecretID,
@@ -3721,7 +3858,10 @@ func (s *knowledgeService) ProcessFAQImport(ctx context.Context, t *asynq.Task)
 		// 删除索引数据
 		embeddingModel, err := s.modelService.GetEmbeddingModel(ctx, kb.EmbeddingModelID)
 		if err == nil {
-			retrieveEngine, err := retriever.NewCompositeRetrieveEngine(s.retrieveEngine, tenantInfo.RetrieverEngines.Engines)
+			retrieveEngine, err := retriever.NewCompositeRetrieveEngine(
+				s.retrieveEngine,
+				tenantInfo.RetrieverEngines.Engines,
+			)
 			if err == nil {
 				chunkIDs := make([]string, 0, len(chunksDeleted))
 				for _, chunk := range chunksDeleted {
@@ -3740,7 +3880,12 @@ func (s *knowledgeService) ProcessFAQImport(ctx context.Context, t *asynq.Task)
 			payload.Entries = payload.Entries[processedCount:]
 		}
 		// Replace 模式使用hash去重，不截断payload.Entries
-		logger.Infof(ctx, "Continuing FAQ import from entry %d, remaining: %d entries", processedCount, len(payload.Entries))
+		logger.Infof(
+			ctx,
+			"Continuing FAQ import from entry %d, remaining: %d entries",
+			processedCount,
+			len(payload.Entries),
+		)
 	}
 
 	// 更新任务状态为运行中

internal/application/service/knowledgebase.go

@@ -248,7 +248,10 @@ func (s *knowledgeBaseService) DeleteKnowledgeBase(ctx context.Context, id strin
 		// Delete embeddings from vector store
 		logger.Infof(ctx, "Deleting embeddings from vector store")
 		tenantInfo := ctx.Value(types.TenantInfoContextKey).(*types.Tenant)
-		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(s.retrieveEngine, tenantInfo.RetrieverEngines.Engines)
+		retrieveEngine, err := retriever.NewCompositeRetrieveEngine(
+			s.retrieveEngine,
+			tenantInfo.RetrieverEngines.Engines,
+		)
 		if err != nil {
 			logger.Warnf(ctx, "Failed to create retrieve engine: %v", err)
 		} else {
@@ -489,7 +492,8 @@ func (s *knowledgeBaseService) HybridSearch(ctx context.Context,
 	}
 
 	// Add keyword retrieval params if supported and not FAQ
-	if retrieveEngine.SupportRetriever(types.KeywordsRetrieverType) && !params.DisableKeywordsMatch && kb.Type != types.KnowledgeBaseTypeFAQ {
+	if retrieveEngine.SupportRetriever(types.KeywordsRetrieverType) && !params.DisableKeywordsMatch &&
+		kb.Type != types.KnowledgeBaseTypeFAQ {
 		logger.Info(ctx, "Keyword retrieval supported, preparing keyword retrieval parameters")
 		retrieveParams = append(retrieveParams, types.RetrieveParams{
 			Query:            params.QueryText,
@@ -537,7 +541,9 @@ func (s *knowledgeBaseService) HybridSearch(ctx context.Context,
 	logger.Infof(ctx, "Result count before deduplication: %d", len(matchResults))
 
 	// First, try standard deduplication
-	deduplicatedChunks := common.DeduplicateWithScore(func(r *types.IndexWithScore) string { return r.ChunkID }, matchResults...)
+	deduplicatedChunks := common.DeduplicateWithScore(
+		func(r *types.IndexWithScore) string { return r.ChunkID },
+		matchResults...)
 	logger.Infof(ctx, "Result count after deduplication: %d", len(deduplicatedChunks))
 
 	kb.EnsureDefaults()
@@ -549,7 +555,13 @@ func (s *knowledgeBaseService) HybridSearch(ctx context.Context,
 	if needsIterativeRetrieval {
 		logger.Info(ctx, "Not enough unique chunks, using iterative retrieval for FAQ")
 		// Use iterative retrieval to get more unique chunks (with negative question filtering inside)
-		deduplicatedChunks = s.iterativeRetrieveWithDeduplication(ctx, retrieveEngine, retrieveParams, params.MatchCount, params.QueryText)
+		deduplicatedChunks = s.iterativeRetrieveWithDeduplication(
+			ctx,
+			retrieveEngine,
+			retrieveParams,
+			params.MatchCount,
+			params.QueryText,
+		)
 	} else if kb.Type == types.KnowledgeBaseTypeFAQ {
 		// Filter by negative questions if not using iterative retrieval
 		deduplicatedChunks = s.filterByNegativeQuestions(ctx, deduplicatedChunks, params.QueryText)
@@ -606,7 +618,12 @@ func (s *knowledgeBaseService) iterativeRetrieveWithDeduplication(ctx context.Co
 		// Check if we got fewer results than requested - means no more results available
 		totalRetrieved := len(iterationResults)
 		if totalRetrieved < currentTopK {
-			logger.Infof(ctx, "Retrieved %d results (less than TopK %d), no more results available", totalRetrieved, currentTopK)
+			logger.Infof(
+				ctx,
+				"Retrieved %d results (less than TopK %d), no more results available",
+				totalRetrieved,
+				currentTopK,
+			)
 		}
 
 		// Deduplicate and merge (keep highest score for each chunk)
@@ -631,8 +648,14 @@ func (s *knowledgeBaseService) iterativeRetrieveWithDeduplication(ctx context.Co
 			uniqueChunks[chunk.ChunkID] = chunk
 		}
 
-		logger.Infof(ctx, "After iteration %d: retrieved %d results, found %d unique chunks after filtering (target: %d)",
-			i+1, totalRetrieved, len(uniqueChunks), matchCount)
+		logger.Infof(
+			ctx,
+			"After iteration %d: retrieved %d results, found %d unique chunks after filtering (target: %d)",
+			i+1,
+			totalRetrieved,
+			len(uniqueChunks),
+			matchCount,
+		)
 
 		// Early stop: Check if we have enough unique chunks after deduplication and filtering
 		if len(uniqueChunks) >= matchCount {

internal/application/service/llmcontext/compression_strategies.go

@@ -24,7 +24,11 @@ func NewSlidingWindowStrategy(recentMessageCount int) interfaces.CompressionStra
 
 // Compress implements the sliding window compression
 // Keeps system messages and the most recent N messages
-func (s *slidingWindowStrategy) Compress(ctx context.Context, messages []chat.Message, maxTokens int) ([]chat.Message, error) {
+func (s *slidingWindowStrategy) Compress(
+	ctx context.Context,
+	messages []chat.Message,
+	maxTokens int,
+) ([]chat.Message, error) {
 	if len(messages) <= s.recentMessageCount {
 		return messages, nil
 	}
@@ -83,7 +87,11 @@ type smartCompressionStrategy struct {
 }
 
 // NewSmartCompressionStrategy creates a new smart compression strategy
-func NewSmartCompressionStrategy(recentMessageCount int, chatModel chat.Chat, summarizeThreshold int) interfaces.CompressionStrategy {
+func NewSmartCompressionStrategy(
+	recentMessageCount int,
+	chatModel chat.Chat,
+	summarizeThreshold int,
+) interfaces.CompressionStrategy {
 	return &smartCompressionStrategy{
 		recentMessageCount: recentMessageCount,
 		chatModel:          chatModel,
@@ -93,7 +101,11 @@ func NewSmartCompressionStrategy(recentMessageCount int, chatModel chat.Chat, su
 
 // Compress implements smart compression with LLM summarization
 // Summarizes old messages and keeps recent messages intact
-func (s *smartCompressionStrategy) Compress(ctx context.Context, messages []chat.Message, maxTokens int) ([]chat.Message, error) {
+func (s *smartCompressionStrategy) Compress(
+	ctx context.Context,
+	messages []chat.Message,
+	maxTokens int,
+) ([]chat.Message, error) {
 	if len(messages) <= s.recentMessageCount {
 		return messages, nil
 	}
@@ -156,8 +168,15 @@ func (s *smartCompressionStrategy) Compress(ctx context.Context, messages []chat
 	})
 	result = append(result, recentMessages...)
 
-	logger.Infof(ctx, "[SmartCompression] Compressed %d messages to %d messages (summarized %d old + kept %d recent + %d system)",
-		len(messages), len(result), len(oldMessages), len(recentMessages), len(systemMessages))
+	logger.Infof(
+		ctx,
+		"[SmartCompression] Compressed %d messages to %d messages (summarized %d old + kept %d recent + %d system)",
+		len(messages),
+		len(result),
+		len(oldMessages),
+		len(recentMessages),
+		len(systemMessages),
+	)
 
 	return result, nil
 }

internal/application/service/llmcontext/context_manager.go

@@ -18,7 +18,11 @@ type contextManager struct {
 }
 
 // NewContextManager creates a new context manager with the specified storage and compression strategy
-func NewContextManager(storage ContextStorage, compressionStrategy interfaces.CompressionStrategy, maxTokens int) interfaces.ContextManager {
+func NewContextManager(
+	storage ContextStorage,
+	compressionStrategy interfaces.CompressionStrategy,
+	maxTokens int,
+) interfaces.ContextManager {
 	return &contextManager{
 		storage:             storage,
 		compressionStrategy: compressionStrategy,
@@ -27,7 +31,10 @@ func NewContextManager(storage ContextStorage, compressionStrategy interfaces.Co
 }
 
 // NewContextManagerWithMemory creates a context manager with in-memory storage (for backward compatibility)
-func NewContextManagerWithMemory(compressionStrategy interfaces.CompressionStrategy, maxTokens int) interfaces.ContextManager {
+func NewContextManagerWithMemory(
+	compressionStrategy interfaces.CompressionStrategy,
+	maxTokens int,
+) interfaces.ContextManager {
 	return &contextManager{
 		storage:             NewMemoryStorage(),
 		compressionStrategy: compressionStrategy,
@@ -86,7 +93,12 @@ func (cm *contextManager) AddMessage(ctx context.Context, sessionID string, mess
 		return fmt.Errorf("failed to save context: %w", err)
 	}
 
-	logger.Infof(ctx, "[ContextManager][Session-%s] Successfully added message (total: %d messages)", sessionID, len(messages))
+	logger.Infof(
+		ctx,
+		"[ContextManager][Session-%s] Successfully added message (total: %d messages)",
+		sessionID,
+		len(messages),
+	)
 	return nil
 }
 

internal/application/service/llmcontext/context_manager_factory.go

@@ -22,7 +22,11 @@ const (
 )
 
 // NewContextManagerFromConfig creates a ContextManager based on configuration
-func NewContextManagerFromConfig(contextCfg *types.ContextConfig, storage ContextStorage, chatModel chat.Chat) interfaces.ContextManager {
+func NewContextManagerFromConfig(
+	contextCfg *types.ContextConfig,
+	storage ContextStorage,
+	chatModel chat.Chat,
+) interfaces.ContextManager {
 	// Use default values if config is nil
 	if contextCfg == nil {
 		logger.Info(context.TODO(), "ContextManager config not found, using default memory-based context manager")

internal/application/service/mcp_service.go

@@ -49,7 +49,11 @@ func (s *mcpServiceService) CreateMCPService(ctx context.Context, service *types
 }
 
 // GetMCPServiceByID retrieves an MCP service by ID
-func (s *mcpServiceService) GetMCPServiceByID(ctx context.Context, tenantID uint64, id string) (*types.MCPService, error) {
+func (s *mcpServiceService) GetMCPServiceByID(
+	ctx context.Context,
+	tenantID uint64,
+	id string,
+) (*types.MCPService, error) {
 	service, err := s.mcpServiceRepo.GetByID(ctx, tenantID, id)
 	if err != nil {
 		logger.GetLogger(ctx).Errorf("Failed to get MCP service: %v", err)
@@ -80,7 +84,11 @@ func (s *mcpServiceService) ListMCPServices(ctx context.Context, tenantID uint64
 }
 
 // ListMCPServicesByIDs retrieves multiple MCP services by IDs
-func (s *mcpServiceService) ListMCPServicesByIDs(ctx context.Context, tenantID uint64, ids []string) ([]*types.MCPService, error) {
+func (s *mcpServiceService) ListMCPServicesByIDs(
+	ctx context.Context,
+	tenantID uint64,
+	ids []string,
+) ([]*types.MCPService, error) {
 	if len(ids) == 0 {
 		return []*types.MCPService{}, nil
 	}
@@ -221,7 +229,11 @@ func (s *mcpServiceService) DeleteMCPService(ctx context.Context, tenantID uint6
 }
 
 // TestMCPService tests the connection to an MCP service and returns available tools/resources
-func (s *mcpServiceService) TestMCPService(ctx context.Context, tenantID uint64, id string) (*types.MCPTestResult, error) {
+func (s *mcpServiceService) TestMCPService(
+	ctx context.Context,
+	tenantID uint64,
+	id string,
+) (*types.MCPTestResult, error) {
 	// Get service
 	service, err := s.mcpServiceRepo.GetByID(ctx, tenantID, id)
 	if err != nil {
@@ -280,15 +292,23 @@ func (s *mcpServiceService) TestMCPService(ctx context.Context, tenantID uint64,
 	}
 
 	return &types.MCPTestResult{
-		Success:   true,
-		Message:   fmt.Sprintf("Connected successfully to %s v%s", initResult.ServerInfo.Name, initResult.ServerInfo.Version),
+		Success: true,
+		Message: fmt.Sprintf(
+			"Connected successfully to %s v%s",
+			initResult.ServerInfo.Name,
+			initResult.ServerInfo.Version,
+		),
 		Tools:     tools,
 		Resources: resources,
 	}, nil
 }
 
 // GetMCPServiceTools retrieves the list of tools from an MCP service
-func (s *mcpServiceService) GetMCPServiceTools(ctx context.Context, tenantID uint64, id string) ([]*types.MCPTool, error) {
+func (s *mcpServiceService) GetMCPServiceTools(
+	ctx context.Context,
+	tenantID uint64,
+	id string,
+) ([]*types.MCPTool, error) {
 	// Get service
 	service, err := s.mcpServiceRepo.GetByID(ctx, tenantID, id)
 	if err != nil {
@@ -314,7 +334,11 @@ func (s *mcpServiceService) GetMCPServiceTools(ctx context.Context, tenantID uin
 }
 
 // GetMCPServiceResources retrieves the list of resources from an MCP service
-func (s *mcpServiceService) GetMCPServiceResources(ctx context.Context, tenantID uint64, id string) ([]*types.MCPResource, error) {
+func (s *mcpServiceService) GetMCPServiceResources(
+	ctx context.Context,
+	tenantID uint64,
+	id string,
+) ([]*types.MCPResource, error) {
 	// Get service
 	service, err := s.mcpServiceRepo.GetByID(ctx, tenantID, id)
 	if err != nil {

internal/application/service/metric/rouge_score.go

@@ -198,7 +198,10 @@ func unionLcs(evaluatedSentences []string, referenceSentence string, prevUnion *
 	return newLcsCount, lcsUnion
 }
 
-func rougeLSummaryLevel(evaluatedSentences, referenceSentences []string, rawResults, exclusive bool) map[string]float64 {
+func rougeLSummaryLevel(
+	evaluatedSentences, referenceSentences []string,
+	rawResults, exclusive bool,
+) map[string]float64 {
 	referenceNgrams := NewNgrams(exclusive)
 	referenceNgrams.BatchAdd(splitIntoWords(referenceSentences))
 	m := referenceNgrams.Len()

internal/application/service/retriever/composite.go

@@ -62,7 +62,10 @@ func (c *CompositeRetrieveEngine) Retrieve(ctx context.Context,
 }
 
 // NewCompositeRetrieveEngine creates a new composite retrieve engine with the given parameters
-func NewCompositeRetrieveEngine(registry interfaces.RetrieveEngineRegistry, engineParams []types.RetrieverEngineParams) (*CompositeRetrieveEngine, error) {
+func NewCompositeRetrieveEngine(
+	registry interfaces.RetrieveEngineRegistry,
+	engineParams []types.RetrieverEngineParams,
+) (*CompositeRetrieveEngine, error) {
 	engineInfos := make(map[types.RetrieverEngineType]*engineInfo)
 	for _, engineParam := range engineParams {
 		repo, err := registry.GetRetrieveEngineService(engineParam.RetrieverEngineType)
@@ -100,7 +103,10 @@ func (c *CompositeRetrieveEngine) SupportRetriever(r types.RetrieverType) bool {
 }
 
 // BatchUpdateChunkEnabledStatus updates the enabled status of chunks in batch
-func (c *CompositeRetrieveEngine) BatchUpdateChunkEnabledStatus(ctx context.Context, chunkStatusMap map[string]bool) error {
+func (c *CompositeRetrieveEngine) BatchUpdateChunkEnabledStatus(
+	ctx context.Context,
+	chunkStatusMap map[string]bool,
+) error {
 	return c.concurrentExecWithError(ctx, func(ctx context.Context, engineInfo *engineInfo) error {
 		if err := engineInfo.retrieveEngine.BatchUpdateChunkEnabledStatus(ctx, chunkStatusMap); err != nil {
 			return err

internal/application/service/retriever/keywords_vector_hybrid_indexer.go

@@ -165,6 +165,9 @@ func (v *KeywordsVectorHybridRetrieveEngineService) CopyIndices(
 }
 
 // BatchUpdateChunkEnabledStatus updates the enabled status of chunks in batch
-func (v *KeywordsVectorHybridRetrieveEngineService) BatchUpdateChunkEnabledStatus(ctx context.Context, chunkStatusMap map[string]bool) error {
+func (v *KeywordsVectorHybridRetrieveEngineService) BatchUpdateChunkEnabledStatus(
+	ctx context.Context,
+	chunkStatusMap map[string]bool,
+) error {
 	return v.indexRepository.BatchUpdateChunkEnabledStatus(ctx, chunkStatusMap)
 }

internal/application/service/session.go

@@ -326,7 +326,12 @@ func (s *sessionService) GenerateTitle(ctx context.Context,
 // GenerateTitleAsync generates a title for the session asynchronously
 // This method clones the session and generates the title in a goroutine
 // It emits an event when the title is generated
-func (s *sessionService) GenerateTitleAsync(ctx context.Context, session *types.Session, userQuery string, eventBus *event.EventBus) {
+func (s *sessionService) GenerateTitleAsync(
+	ctx context.Context,
+	session *types.Session,
+	userQuery string,
+	eventBus *event.EventBus,
+) {
 	// Extract values from context before cloning
 	tenantID := ctx.Value(types.TenantIDContextKey)
 	requestID := ctx.Value(types.RequestIDContextKey)
@@ -384,8 +389,23 @@ func (s *sessionService) GenerateTitleAsync(ctx context.Context, session *types.
 
 // KnowledgeQA performs knowledge base question answering with LLM summarization
 // Events are emitted through eventBus (references, answer chunks, completion)
-func (s *sessionService) KnowledgeQA(ctx context.Context, session *types.Session, query string, knowledgeBaseIDs []string, assistantMessageID string, summaryModelID string, webSearchEnabled bool, eventBus *event.EventBus) error {
-	logger.Infof(ctx, "Knowledge base question answering parameters, session ID: %s, query: %s, webSearchEnabled: %v", session.ID, query, webSearchEnabled)
+func (s *sessionService) KnowledgeQA(
+	ctx context.Context,
+	session *types.Session,
+	query string,
+	knowledgeBaseIDs []string,
+	assistantMessageID string,
+	summaryModelID string,
+	webSearchEnabled bool,
+	eventBus *event.EventBus,
+) error {
+	logger.Infof(
+		ctx,
+		"Knowledge base question answering parameters, session ID: %s, query: %s, webSearchEnabled: %v",
+		session.ID,
+		query,
+		webSearchEnabled,
+	)
 
 	// If no knowledge base IDs provided, fall back to session's default
 	if len(knowledgeBaseIDs) == 0 {
@@ -492,7 +512,12 @@ func (s *sessionService) KnowledgeQA(ctx context.Context, session *types.Session
 	}
 
 	// Create chat management object with session settings
-	logger.Infof(ctx, "Creating chat manage object, knowledge base IDs: %v, chat model ID: %s", knowledgeBaseIDs, chatModelID)
+	logger.Infof(
+		ctx,
+		"Creating chat manage object, knowledge base IDs: %v, chat model ID: %s",
+		knowledgeBaseIDs,
+		chatModelID,
+	)
 	chatManage := &types.ChatManage{
 		Query:                query,
 		RewriteQuery:         query,
@@ -563,13 +588,23 @@ func (s *sessionService) KnowledgeQA(ctx context.Context, session *types.Session
 // 3. First knowledge base with a Remote model
 // 4. Session's SummaryModelID (if not Remote)
 // 5. First knowledge base's SummaryModelID
-func (s *sessionService) selectChatModelIDWithOverride(ctx context.Context, session *types.Session, knowledgeBaseIDs []string, summaryModelID string) (string, error) {
+func (s *sessionService) selectChatModelIDWithOverride(
+	ctx context.Context,
+	session *types.Session,
+	knowledgeBaseIDs []string,
+	summaryModelID string,
+) (string, error) {
 	// First, check if request has summaryModelID override
 	if summaryModelID != "" {
 		// Validate that the model exists
 		model, err := s.modelService.GetModelByID(ctx, summaryModelID)
 		if err != nil {
-			logger.Warnf(ctx, "Request provided invalid summary model ID %s: %v, falling back to default selection", summaryModelID, err)
+			logger.Warnf(
+				ctx,
+				"Request provided invalid summary model ID %s: %v, falling back to default selection",
+				summaryModelID,
+				err,
+			)
 		} else if model != nil {
 			logger.Infof(ctx, "Using request's summary model override: %s", summaryModelID)
 			return summaryModelID, nil
@@ -586,7 +621,11 @@ func (s *sessionService) selectChatModelIDWithOverride(ctx context.Context, sess
 // 2. First knowledge base with a Remote model
 // 3. Session's SummaryModelID (if not Remote)
 // 4. First knowledge base's SummaryModelID
-func (s *sessionService) selectChatModelID(ctx context.Context, session *types.Session, knowledgeBaseIDs []string) (string, error) {
+func (s *sessionService) selectChatModelID(
+	ctx context.Context,
+	session *types.Session,
+	knowledgeBaseIDs []string,
+) (string, error) {
 	// First, check if session has a SummaryModelID and if it's a Remote model
 	if session.SummaryModelID != "" {
 		model, err := s.modelService.GetModelByID(ctx, session.SummaryModelID)
@@ -630,7 +669,12 @@ func (s *sessionService) selectChatModelID(ctx context.Context, session *types.S
 			return "", fmt.Errorf("failed to get knowledge base %s: %w", knowledgeBaseIDs[0], err)
 		}
 		if kb != nil && kb.SummaryModelID != "" {
-			logger.Infof(ctx, "Using summary model from first knowledge base %s: %s", knowledgeBaseIDs[0], kb.SummaryModelID)
+			logger.Infof(
+				ctx,
+				"Using summary model from first knowledge base %s: %s",
+				knowledgeBaseIDs[0],
+				kb.SummaryModelID,
+			)
 			return kb.SummaryModelID, nil
 		} else {
 			logger.Errorf(ctx, "Knowledge base %s has no summary model ID", knowledgeBaseIDs[0])
@@ -639,7 +683,9 @@ func (s *sessionService) selectChatModelID(ctx context.Context, session *types.S
 	}
 
 	logger.Error(ctx, "No chat model ID available")
-	return "", errors.New("no chat model ID available: session has no SummaryModelID and knowledge bases have no SummaryModelID")
+	return "", errors.New(
+		"no chat model ID available: session has no SummaryModelID and knowledge bases have no SummaryModelID",
+	)
 }
 
 // KnowledgeQAByEvent processes knowledge QA through a series of events in the pipeline
@@ -674,7 +720,12 @@ func (s *sessionService) KnowledgeQAByEvent(ctx context.Context,
 
 		// Handle case where search returns no results
 		if err == chatpipline.ErrSearchNothing {
-			logger.Warnf(ctx, "Event %v triggered, search result is empty, using fallback response, strategy: %v", eventType, chatManage.FallbackStrategy)
+			logger.Warnf(
+				ctx,
+				"Event %v triggered, search result is empty, using fallback response, strategy: %v",
+				eventType,
+				chatManage.FallbackStrategy,
+			)
 			s.handleFallbackResponse(ctx, chatManage)
 			return nil
 		}
@@ -800,7 +851,13 @@ func (s *sessionService) SearchKnowledge(ctx context.Context,
 }
 
 // AgentQA performs agent-based question answering with conversation history and streaming support
-func (s *sessionService) AgentQA(ctx context.Context, session *types.Session, query string, assistantMessageID string, eventBus *event.EventBus) error {
+func (s *sessionService) AgentQA(
+	ctx context.Context,
+	session *types.Session,
+	query string,
+	assistantMessageID string,
+	eventBus *event.EventBus,
+) error {
 	sessionID := session.ID
 	tenantID := ctx.Value(types.TenantIDContextKey).(uint64)
 	sessionJSON, err := json.Marshal(session)
@@ -940,7 +997,16 @@ func (s *sessionService) AgentQA(ctx context.Context, session *types.Session, qu
 
 	// Create agent engine with EventBus and ContextManager
 	logger.Info(ctx, "Creating agent engine")
-	engine, err := s.agentService.CreateAgentEngine(ctx, agentConfig, summaryModel, rerankModel, eventBus, contextManager, session.ID, s)
+	engine, err := s.agentService.CreateAgentEngine(
+		ctx,
+		agentConfig,
+		summaryModel,
+		rerankModel,
+		eventBus,
+		contextManager,
+		session.ID,
+		s,
+	)
 	if err != nil {
 		logger.Errorf(ctx, "Failed to create agent engine: %v", err)
 		return err
@@ -968,7 +1034,11 @@ func (s *sessionService) AgentQA(ctx context.Context, session *types.Session, qu
 
 // getContextManagerForSession creates a context manager for the session based on configuration
 // Returns the configured context manager (tenant-level or session-level) or default
-func (s *sessionService) getContextManagerForSession(ctx context.Context, session *types.Session, chatModel chat.Chat) interfaces.ContextManager {
+func (s *sessionService) getContextManagerForSession(
+	ctx context.Context,
+	session *types.Session,
+	chatModel chat.Chat,
+) interfaces.ContextManager {
 	// Get tenant to access global context configuration
 	tenant, _ := ctx.Value(types.TenantInfoContextKey).(*types.Tenant)
 	// Determine which context config to use: session-specific or tenant-level
@@ -995,7 +1065,11 @@ func (s *sessionService) getContextManagerForSession(ctx context.Context, sessio
 }
 
 // getContextForSession retrieves LLM context for a session
-func (s *sessionService) getContextForSession(ctx context.Context, contextManager interfaces.ContextManager, sessionID string) ([]chat.Message, error) {
+func (s *sessionService) getContextForSession(
+	ctx context.Context,
+	contextManager interfaces.ContextManager,
+	sessionID string,
+) ([]chat.Message, error) {
 	history, err := contextManager.GetContext(ctx, sessionID)
 	if err != nil {
 		return nil, fmt.Errorf("failed to get context: %w", err)
@@ -1019,7 +1093,10 @@ func (s *sessionService) ClearContext(ctx context.Context, sessionID string) err
 }
 
 // GetWebSearchTempKBState retrieves the temporary KB state for web search from Redis
-func (s *sessionService) GetWebSearchTempKBState(ctx context.Context, sessionID string) (tempKBID string, seenURLs map[string]bool, knowledgeIDs []string) {
+func (s *sessionService) GetWebSearchTempKBState(
+	ctx context.Context,
+	sessionID string,
+) (tempKBID string, seenURLs map[string]bool, knowledgeIDs []string) {
 	stateKey := fmt.Sprintf("tempkb:%s", sessionID)
 	if raw, getErr := s.redisClient.Get(ctx, stateKey).Bytes(); getErr == nil && len(raw) > 0 {
 		var state struct {
@@ -1042,7 +1119,13 @@ func (s *sessionService) GetWebSearchTempKBState(ctx context.Context, sessionID
 }
 
 // SaveWebSearchTempKBState saves the temporary KB state for web search to Redis
-func (s *sessionService) SaveWebSearchTempKBState(ctx context.Context, sessionID string, tempKBID string, seenURLs map[string]bool, knowledgeIDs []string) {
+func (s *sessionService) SaveWebSearchTempKBState(
+	ctx context.Context,
+	sessionID string,
+	tempKBID string,
+	seenURLs map[string]bool,
+	knowledgeIDs []string,
+) {
 	stateKey := fmt.Sprintf("tempkb:%s", sessionID)
 	state := struct {
 		KBID         string          `json:"kbID"`
@@ -1207,7 +1290,11 @@ func (s *sessionService) renderFallbackPrompt(ctx context.Context, chatManage *t
 }
 
 // consumeFallbackStream consumes the streaming response and emits events
-func (s *sessionService) consumeFallbackStream(ctx context.Context, chatManage *types.ChatManage, responseChan <-chan types.StreamResponse) {
+func (s *sessionService) consumeFallbackStream(
+	ctx context.Context,
+	chatManage *types.ChatManage,
+	responseChan <-chan types.StreamResponse,
+) {
 	fallbackID := generateEventID("fallback")
 	eventBus := chatManage.EventBus
 	var finalContent string

internal/application/service/tag.go

@@ -69,7 +69,13 @@ func (s *knowledgeTagService) ListTags(ctx context.Context, kbID string) ([]*typ
 }
 
 // CreateTag creates a new tag under a KB.
-func (s *knowledgeTagService) CreateTag(ctx context.Context, kbID string, name string, color string, sortOrder int) (*types.KnowledgeTag, error) {
+func (s *knowledgeTagService) CreateTag(
+	ctx context.Context,
+	kbID string,
+	name string,
+	color string,
+	sortOrder int,
+) (*types.KnowledgeTag, error) {
 	name = strings.TrimSpace(name)
 	if kbID == "" || name == "" {
 		return nil, werrors.NewBadRequestError("知识库ID和标签名称不能为空")
@@ -96,7 +102,13 @@ func (s *knowledgeTagService) CreateTag(ctx context.Context, kbID string, name s
 }
 
 // UpdateTag updates tag basic information.
-func (s *knowledgeTagService) UpdateTag(ctx context.Context, id string, name *string, color *string, sortOrder *int) (*types.KnowledgeTag, error) {
+func (s *knowledgeTagService) UpdateTag(
+	ctx context.Context,
+	id string,
+	name *string,
+	color *string,
+	sortOrder *int,
+) (*types.KnowledgeTag, error) {
 	if id == "" {
 		return nil, werrors.NewBadRequestError("标签ID不能为空")
 	}

internal/application/service/user.go

@@ -52,7 +52,11 @@ type userService struct {
 }
 
 // NewUserService creates a new user service instance
-func NewUserService(userRepo interfaces.UserRepository, tokenRepo interfaces.AuthTokenRepository, tenantService interfaces.TenantService) interfaces.UserService {
+func NewUserService(
+	userRepo interfaces.UserRepository,
+	tokenRepo interfaces.AuthTokenRepository,
+	tenantService interfaces.TenantService,
+) interfaces.UserService {
 	return &userService{
 		userRepo:      userRepo,
 		tokenRepo:     tokenRepo,
@@ -294,7 +298,10 @@ func (s *userService) ValidatePassword(ctx context.Context, userID string, passw
 }
 
 // GenerateTokens generates access and refresh tokens for user
-func (s *userService) GenerateTokens(ctx context.Context, user *types.User) (accessToken, refreshToken string, err error) {
+func (s *userService) GenerateTokens(
+	ctx context.Context,
+	user *types.User,
+) (accessToken, refreshToken string, err error) {
 	// Generate access token (expires in 24 hours)
 	accessClaims := jwt.MapClaims{
 		"user_id":   user.ID,
@@ -385,7 +392,10 @@ func (s *userService) ValidateToken(ctx context.Context, tokenString string) (*t
 }
 
 // RefreshToken refreshes access token using refresh token
-func (s *userService) RefreshToken(ctx context.Context, refreshTokenString string) (accessToken, newRefreshToken string, err error) {
+func (s *userService) RefreshToken(
+	ctx context.Context,
+	refreshTokenString string,
+) (accessToken, newRefreshToken string, err error) {
 	token, err := jwt.Parse(refreshTokenString, func(token *jwt.Token) (interface{}, error) {
 		if _, ok := token.Method.(*jwt.SigningMethodHMAC); !ok {
 			return nil, fmt.Errorf("unexpected signing method: %v", token.Header["alg"])

internal/application/service/web_search.go

@@ -55,7 +55,10 @@ func (s *WebSearchService) CompressWithRAG(
 		}
 		createdKB, err = kbSvc.CreateKnowledgeBase(ctx, kb)
 		if err != nil {
-			return nil, tempKBID, seenURLs, knowledgeIDs, fmt.Errorf("failed to create temporary knowledge base: %w", err)
+			return nil, tempKBID, seenURLs, knowledgeIDs, fmt.Errorf(
+				"failed to create temporary knowledge base: %w",
+				err,
+			)
 		}
 		tempKBID = createdKB.ID
 	}
@@ -240,7 +243,11 @@ func stripMarker(content string) string {
 
 // Search performs web search using the specified provider
 // This method implements the interface expected by PluginSearch
-func (s *WebSearchService) Search(ctx context.Context, config *types.WebSearchConfig, query string) ([]*types.WebSearchResult, error) {
+func (s *WebSearchService) Search(
+	ctx context.Context,
+	config *types.WebSearchConfig,
+	query string,
+) ([]*types.WebSearchResult, error) {
 	if config == nil {
 		return nil, fmt.Errorf("web search config is required")
 	}
@@ -310,7 +317,10 @@ func NewWebSearchService(cfg *config.Config) (interfaces.WebSearchService, error
 }
 
 // filterBlacklist filters results based on blacklist rules
-func (s *WebSearchService) filterBlacklist(results []*types.WebSearchResult, blacklist []string) []*types.WebSearchResult {
+func (s *WebSearchService) filterBlacklist(
+	results []*types.WebSearchResult,
+	blacklist []string,
+) []*types.WebSearchResult {
 	if len(blacklist) == 0 {
 		return results
 	}

internal/application/service/web_search/duckduckgo.go

@@ -38,7 +38,12 @@ func (p *DuckDuckGoProvider) Name() string {
 }
 
 // Search performs a web search using DuckDuckGo HTML endpoint with API fallback
-func (p *DuckDuckGoProvider) Search(ctx context.Context, query string, maxResults int, includeDate bool) ([]*types.WebSearchResult, error) {
+func (p *DuckDuckGoProvider) Search(
+	ctx context.Context,
+	query string,
+	maxResults int,
+	includeDate bool,
+) ([]*types.WebSearchResult, error) {
 	if maxResults <= 0 {
 		maxResults = 5
 	}
@@ -58,7 +63,11 @@ func (p *DuckDuckGoProvider) Search(ctx context.Context, query string, maxResult
 	return nil, fmt.Errorf("duckduckgo API search failed: %w", apiErr)
 }
 
-func (p *DuckDuckGoProvider) searchHTML(ctx context.Context, query string, maxResults int) ([]*types.WebSearchResult, error) {
+func (p *DuckDuckGoProvider) searchHTML(
+	ctx context.Context,
+	query string,
+	maxResults int,
+) ([]*types.WebSearchResult, error) {
 	baseURL := "https://html.duckduckgo.com/html/"
 	params := url.Values{}
 	params.Set("q", query)
@@ -71,10 +80,16 @@ func (p *DuckDuckGoProvider) searchHTML(ctx context.Context, query string, maxRe
 		return nil, fmt.Errorf("failed to create request: %w", err)
 	}
 	// Use a realistic UA to avoid blocks
-	req.Header.Set("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36")
+	req.Header.Set(
+		"User-Agent",
+		"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
+	)
 
 	// print curl of request
-	curlCommand := fmt.Sprintf("curl -X GET '%s' -H 'User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'", req.URL.String())
+	curlCommand := fmt.Sprintf(
+		"curl -X GET '%s' -H 'User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'",
+		req.URL.String(),
+	)
 	logger.Infof(ctx, "Curl of request: %s", secutils.SanitizeForLog(curlCommand))
 
 	resp, err := p.client.Do(req)
@@ -119,7 +134,11 @@ func (p *DuckDuckGoProvider) searchHTML(ctx context.Context, query string, maxRe
 	return results, nil
 }
 
-func (p *DuckDuckGoProvider) searchAPI(ctx context.Context, query string, maxResults int) ([]*types.WebSearchResult, error) {
+func (p *DuckDuckGoProvider) searchAPI(
+	ctx context.Context,
+	query string,
+	maxResults int,
+) ([]*types.WebSearchResult, error) {
 	baseURL := "https://api.duckduckgo.com/"
 	params := url.Values{}
 	params.Set("q", query)

internal/application/service/web_search/duckduckgo_test.go

@@ -95,10 +95,12 @@ func TestDuckDuckGoProvider_Search_HTMLSuccess(t *testing.T) {
 	if len(results) != 2 {
 		t.Fatalf("expected 2 results, got %d", len(results))
 	}
-	if results[0].Title != "Example One" || !strings.HasPrefix(results[0].URL, "https://example.com/") || results[0].Snippet != "Snippet one" {
+	if results[0].Title != "Example One" || !strings.HasPrefix(results[0].URL, "https://example.com/") ||
+		results[0].Snippet != "Snippet one" {
 		t.Fatalf("unexpected first result: %+v", results[0])
 	}
-	if results[1].Title != "Example Two" || !strings.HasPrefix(results[1].URL, "https://example.org/") || results[1].Snippet != "Snippet two" {
+	if results[1].Title != "Example Two" || !strings.HasPrefix(results[1].URL, "https://example.org/") ||
+		results[1].Snippet != "Snippet two" {
 		t.Fatalf("unexpected second result: %+v", results[1])
 	}
 }

internal/config/config.go

@@ -14,16 +14,16 @@ import (
 
 // Config 应用程序总配置
 type Config struct {
-	Conversation   *ConversationConfig   `yaml:"conversation" json:"conversation"`
-	Server         *ServerConfig         `yaml:"server" json:"server"`
-	KnowledgeBase  *KnowledgeBaseConfig  `yaml:"knowledge_base" json:"knowledge_base"`
-	Tenant         *TenantConfig         `yaml:"tenant" json:"tenant"`
-	Models         []ModelConfig         `yaml:"models" json:"models"`
+	Conversation   *ConversationConfig   `yaml:"conversation"    json:"conversation"`
+	Server         *ServerConfig         `yaml:"server"          json:"server"`
+	KnowledgeBase  *KnowledgeBaseConfig  `yaml:"knowledge_base"  json:"knowledge_base"`
+	Tenant         *TenantConfig         `yaml:"tenant"          json:"tenant"`
+	Models         []ModelConfig         `yaml:"models"          json:"models"`
 	VectorDatabase *VectorDatabaseConfig `yaml:"vector_database" json:"vector_database"`
-	DocReader      *DocReaderConfig      `yaml:"docreader" json:"docreader"`
-	StreamManager  *StreamManagerConfig  `yaml:"stream_manager" json:"stream_manager"`
-	ExtractManager *ExtractManagerConfig `yaml:"extract" json:"extract"`
-	WebSearch      *WebSearchConfig      `yaml:"web_search" json:"web_search"`
+	DocReader      *DocReaderConfig      `yaml:"docreader"       json:"docreader"`
+	StreamManager  *StreamManagerConfig  `yaml:"stream_manager"  json:"stream_manager"`
+	ExtractManager *ExtractManagerConfig `yaml:"extract"         json:"extract"`
+	WebSearch      *WebSearchConfig      `yaml:"web_search"      json:"web_search"`
 }
 
 type DocReaderConfig struct {
@@ -36,59 +36,59 @@ type VectorDatabaseConfig struct {
 
 // ConversationConfig 对话服务配置
 type ConversationConfig struct {
-	MaxRounds                  int            `yaml:"max_rounds" json:"max_rounds"`
-	KeywordThreshold           float64        `yaml:"keyword_threshold" json:"keyword_threshold"`
-	EmbeddingTopK              int            `yaml:"embedding_top_k" json:"embedding_top_k"`
-	VectorThreshold            float64        `yaml:"vector_threshold" json:"vector_threshold"`
-	RerankTopK                 int            `yaml:"rerank_top_k" json:"rerank_top_k"`
-	RerankThreshold            float64        `yaml:"rerank_threshold" json:"rerank_threshold"`
-	FallbackStrategy           string         `yaml:"fallback_strategy" json:"fallback_strategy"`
-	FallbackResponse           string         `yaml:"fallback_response" json:"fallback_response"`
-	FallbackPrompt             string         `yaml:"fallback_prompt" json:"fallback_prompt"`
-	EnableRewrite              bool           `yaml:"enable_rewrite" json:"enable_rewrite"`
-	EnableQueryExpansion       bool           `yaml:"enable_query_expansion" json:"enable_query_expansion"`
-	EnableRerank               bool           `yaml:"enable_rerank" json:"enable_rerank"`
-	Summary                    *SummaryConfig `yaml:"summary" json:"summary"`
+	MaxRounds                  int            `yaml:"max_rounds"                    json:"max_rounds"`
+	KeywordThreshold           float64        `yaml:"keyword_threshold"             json:"keyword_threshold"`
+	EmbeddingTopK              int            `yaml:"embedding_top_k"               json:"embedding_top_k"`
+	VectorThreshold            float64        `yaml:"vector_threshold"              json:"vector_threshold"`
+	RerankTopK                 int            `yaml:"rerank_top_k"                  json:"rerank_top_k"`
+	RerankThreshold            float64        `yaml:"rerank_threshold"              json:"rerank_threshold"`
+	FallbackStrategy           string         `yaml:"fallback_strategy"             json:"fallback_strategy"`
+	FallbackResponse           string         `yaml:"fallback_response"             json:"fallback_response"`
+	FallbackPrompt             string         `yaml:"fallback_prompt"               json:"fallback_prompt"`
+	EnableRewrite              bool           `yaml:"enable_rewrite"                json:"enable_rewrite"`
+	EnableQueryExpansion       bool           `yaml:"enable_query_expansion"        json:"enable_query_expansion"`
+	EnableRerank               bool           `yaml:"enable_rerank"                 json:"enable_rerank"`
+	Summary                    *SummaryConfig `yaml:"summary"                       json:"summary"`
 	GenerateSessionTitlePrompt string         `yaml:"generate_session_title_prompt" json:"generate_session_title_prompt"`
-	GenerateSummaryPrompt      string         `yaml:"generate_summary_prompt" json:"generate_summary_prompt"`
-	RewritePromptSystem        string         `yaml:"rewrite_prompt_system" json:"rewrite_prompt_system"`
-	RewritePromptUser          string         `yaml:"rewrite_prompt_user" json:"rewrite_prompt_user"`
-	SimplifyQueryPrompt        string         `yaml:"simplify_query_prompt" json:"simplify_query_prompt"`
-	SimplifyQueryPromptUser    string         `yaml:"simplify_query_prompt_user" json:"simplify_query_prompt_user"`
-	ExtractEntitiesPrompt      string         `yaml:"extract_entities_prompt" json:"extract_entities_prompt"`
-	ExtractRelationshipsPrompt string         `yaml:"extract_relationships_prompt" json:"extract_relationships_prompt"`
+	GenerateSummaryPrompt      string         `yaml:"generate_summary_prompt"       json:"generate_summary_prompt"`
+	RewritePromptSystem        string         `yaml:"rewrite_prompt_system"         json:"rewrite_prompt_system"`
+	RewritePromptUser          string         `yaml:"rewrite_prompt_user"           json:"rewrite_prompt_user"`
+	SimplifyQueryPrompt        string         `yaml:"simplify_query_prompt"         json:"simplify_query_prompt"`
+	SimplifyQueryPromptUser    string         `yaml:"simplify_query_prompt_user"    json:"simplify_query_prompt_user"`
+	ExtractEntitiesPrompt      string         `yaml:"extract_entities_prompt"       json:"extract_entities_prompt"`
+	ExtractRelationshipsPrompt string         `yaml:"extract_relationships_prompt"  json:"extract_relationships_prompt"`
 }
 
 // SummaryConfig 摘要配置
 type SummaryConfig struct {
-	MaxTokens           int     `yaml:"max_tokens" json:"max_tokens"`
-	RepeatPenalty       float64 `yaml:"repeat_penalty" json:"repeat_penalty"`
-	TopK                int     `yaml:"top_k" json:"top_k"`
-	TopP                float64 `yaml:"top_p" json:"top_p"`
-	FrequencyPenalty    float64 `yaml:"frequency_penalty" json:"frequency_penalty"`
-	PresencePenalty     float64 `yaml:"presence_penalty" json:"presence_penalty"`
-	Prompt              string  `yaml:"prompt" json:"prompt"`
-	ContextTemplate     string  `yaml:"context_template" json:"context_template"`
-	Temperature         float64 `yaml:"temperature" json:"temperature"`
-	Seed                int     `yaml:"seed" json:"seed"`
+	MaxTokens           int     `yaml:"max_tokens"            json:"max_tokens"`
+	RepeatPenalty       float64 `yaml:"repeat_penalty"        json:"repeat_penalty"`
+	TopK                int     `yaml:"top_k"                 json:"top_k"`
+	TopP                float64 `yaml:"top_p"                 json:"top_p"`
+	FrequencyPenalty    float64 `yaml:"frequency_penalty"     json:"frequency_penalty"`
+	PresencePenalty     float64 `yaml:"presence_penalty"      json:"presence_penalty"`
+	Prompt              string  `yaml:"prompt"                json:"prompt"`
+	ContextTemplate     string  `yaml:"context_template"      json:"context_template"`
+	Temperature         float64 `yaml:"temperature"           json:"temperature"`
+	Seed                int     `yaml:"seed"                  json:"seed"`
 	MaxCompletionTokens int     `yaml:"max_completion_tokens" json:"max_completion_tokens"`
-	NoMatchPrefix       string  `yaml:"no_match_prefix" json:"no_match_prefix"`
+	NoMatchPrefix       string  `yaml:"no_match_prefix"       json:"no_match_prefix"`
 }
 
 // ServerConfig 服务器配置
 type ServerConfig struct {
-	Port            int           `yaml:"port" json:"port"`
-	Host            string        `yaml:"host" json:"host"`
-	LogPath         string        `yaml:"log_path" json:"log_path"`
+	Port            int           `yaml:"port"             json:"port"`
+	Host            string        `yaml:"host"             json:"host"`
+	LogPath         string        `yaml:"log_path"         json:"log_path"`
 	ShutdownTimeout time.Duration `yaml:"shutdown_timeout" json:"shutdown_timeout" default:"30s"`
 }
 
 // KnowledgeBaseConfig 知识库配置
 type KnowledgeBaseConfig struct {
-	ChunkSize       int                    `yaml:"chunk_size" json:"chunk_size"`
-	ChunkOverlap    int                    `yaml:"chunk_overlap" json:"chunk_overlap"`
-	SplitMarkers    []string               `yaml:"split_markers" json:"split_markers"`
-	KeepSeparator   bool                   `yaml:"keep_separator" json:"keep_separator"`
+	ChunkSize       int                    `yaml:"chunk_size"       json:"chunk_size"`
+	ChunkOverlap    int                    `yaml:"chunk_overlap"    json:"chunk_overlap"`
+	SplitMarkers    []string               `yaml:"split_markers"    json:"split_markers"`
+	KeepSeparator   bool                   `yaml:"keep_separator"   json:"keep_separator"`
 	ImageProcessing *ImageProcessingConfig `yaml:"image_processing" json:"image_processing"`
 }
 
@@ -99,44 +99,44 @@ type ImageProcessingConfig struct {
 
 // TenantConfig 租户配置
 type TenantConfig struct {
-	DefaultSessionName        string `yaml:"default_session_name" json:"default_session_name"`
-	DefaultSessionTitle       string `yaml:"default_session_title" json:"default_session_title"`
+	DefaultSessionName        string `yaml:"default_session_name"        json:"default_session_name"`
+	DefaultSessionTitle       string `yaml:"default_session_title"       json:"default_session_title"`
 	DefaultSessionDescription string `yaml:"default_session_description" json:"default_session_description"`
 }
 
 // ModelConfig 模型配置
 type ModelConfig struct {
-	Type       string                 `yaml:"type" json:"type"`
-	Source     string                 `yaml:"source" json:"source"`
+	Type       string                 `yaml:"type"       json:"type"`
+	Source     string                 `yaml:"source"     json:"source"`
 	ModelName  string                 `yaml:"model_name" json:"model_name"`
 	Parameters map[string]interface{} `yaml:"parameters" json:"parameters"`
 }
 
 // StreamManagerConfig 流管理器配置
 type StreamManagerConfig struct {
-	Type           string        `yaml:"type" json:"type"`                       // 类型: "memory" 或 "redis"
-	Redis          RedisConfig   `yaml:"redis" json:"redis"`                     // Redis配置
+	Type           string        `yaml:"type"            json:"type"`            // 类型: "memory" 或 "redis"
+	Redis          RedisConfig   `yaml:"redis"           json:"redis"`           // Redis配置
 	CleanupTimeout time.Duration `yaml:"cleanup_timeout" json:"cleanup_timeout"` // 清理超时，单位秒
 }
 
 // RedisConfig Redis配置
 type RedisConfig struct {
-	Address  string        `yaml:"address" json:"address"`   // Redis地址
+	Address  string        `yaml:"address"  json:"address"`  // Redis地址
 	Password string        `yaml:"password" json:"password"` // Redis密码
-	DB       int           `yaml:"db" json:"db"`             // Redis数据库
-	Prefix   string        `yaml:"prefix" json:"prefix"`     // 键前缀
-	TTL      time.Duration `yaml:"ttl" json:"ttl"`           // 过期时间(小时)
+	DB       int           `yaml:"db"       json:"db"`       // Redis数据库
+	Prefix   string        `yaml:"prefix"   json:"prefix"`   // 键前缀
+	TTL      time.Duration `yaml:"ttl"      json:"ttl"`      // 过期时间(小时)
 }
 
 // ExtractManagerConfig 抽取管理器配置
 type ExtractManagerConfig struct {
-	ExtractGraph  *types.PromptTemplateStructured `yaml:"extract_graph" json:"extract_graph"`
+	ExtractGraph  *types.PromptTemplateStructured `yaml:"extract_graph"  json:"extract_graph"`
 	ExtractEntity *types.PromptTemplateStructured `yaml:"extract_entity" json:"extract_entity"`
-	FabriText     *FebriText                      `yaml:"fabri_text" json:"fabri_text"`
+	FabriText     *FebriText                      `yaml:"fabri_text"     json:"fabri_text"`
 }
 
 type FebriText struct {
-	WithTag   string `yaml:"with_tag" json:"with_tag"`
+	WithTag   string `yaml:"with_tag"    json:"with_tag"`
 	WithNoTag string `yaml:"with_no_tag" json:"with_no_tag"`
 }
 
@@ -194,25 +194,25 @@ func LoadConfig() (*Config, error) {
 // WebSearchConfig represents the web search configuration
 type WebSearchConfig struct {
 	Providers []WebSearchProviderConfig `yaml:"providers" json:"providers"`
-	Default   WebSearchDefaultConfig    `yaml:"default" json:"default"`
-	Timeout   int                       `yaml:"timeout" json:"timeout"` // 超时时间（秒）
+	Default   WebSearchDefaultConfig    `yaml:"default"   json:"default"`
+	Timeout   int                       `yaml:"timeout"   json:"timeout"` // 超时时间（秒）
 }
 
 // WebSearchProviderConfig represents configuration for a web search provider
 type WebSearchProviderConfig struct {
-	ID             string `yaml:"id" json:"id"`
-	Name           string `yaml:"name" json:"name"`
-	Free           bool   `yaml:"free" json:"free"`
-	RequiresAPIKey bool   `yaml:"requires_api_key" json:"requires_api_key"`
+	ID             string `yaml:"id"                    json:"id"`
+	Name           string `yaml:"name"                  json:"name"`
+	Free           bool   `yaml:"free"                  json:"free"`
+	RequiresAPIKey bool   `yaml:"requires_api_key"      json:"requires_api_key"`
 	Description    string `yaml:"description,omitempty" json:"description,omitempty"`
-	APIURL         string `yaml:"api_url,omitempty" json:"api_url,omitempty"`
+	APIURL         string `yaml:"api_url,omitempty"     json:"api_url,omitempty"`
 }
 
 // WebSearchDefaultConfig represents the default web search configuration
 type WebSearchDefaultConfig struct {
-	Provider          string   `yaml:"provider" json:"provider"`
-	MaxResults        int      `yaml:"max_results" json:"max_results"`
-	IncludeDate       bool     `yaml:"include_date" json:"include_date"`
+	Provider          string   `yaml:"provider"           json:"provider"`
+	MaxResults        int      `yaml:"max_results"        json:"max_results"`
+	IncludeDate       bool     `yaml:"include_date"       json:"include_date"`
 	CompressionMethod string   `yaml:"compression_method" json:"compression_method"`
-	Blacklist         []string `yaml:"blacklist" json:"blacklist"`
+	Blacklist         []string `yaml:"blacklist"          json:"blacklist"`
 }

internal/container/container.go

@@ -282,7 +282,10 @@ func initDatabase(cfg *config.Config) (*gorm.DB, error) {
 		if err := database.RunMigrations(migrateDSN); err != nil {
 			// Log warning but don't fail startup - migrations might be handled externally
 			logger.Warnf(context.Background(), "Database migration failed: %v", err)
-			logger.Warnf(context.Background(), "Continuing with application startup. Please run migrations manually if needed.")
+			logger.Warnf(
+				context.Background(),
+				"Continuing with application startup. Please run migrations manually if needed.",
+			)
 		}
 	} else {
 		logger.Infof(context.Background(), "Auto-migration is disabled (AUTO_MIGRATE=false)")

internal/handler/chunk.go

@@ -189,7 +189,10 @@ func (h *ChunkHandler) validateAndGetChunk(c *gin.Context) (*types.Chunk, string
 		logger.Warnf(
 			ctx,
 			"Tenant has no permission to access chunk, knowledge ID: %s, chunk ID: %s, req tenant: %d, chunk tenant: %d",
-			knowledgeID, id, tenantID, chunk.TenantID,
+			knowledgeID,
+			id,
+			tenantID,
+			chunk.TenantID,
 		)
 		return nil, knowledgeID, errors.NewForbiddenError("No permission to access this chunk")
 	}

internal/handler/initialization.go

@@ -85,7 +85,7 @@ func NewInitializationHandler(
 
 // KBModelConfigRequest 知识库模型配置请求（简化版，只传模型ID）
 type KBModelConfigRequest struct {
-	LLMModelID       string           `json:"llmModelId" binding:"required"`
+	LLMModelID       string           `json:"llmModelId"       binding:"required"`
 	EmbeddingModelID string           `json:"embeddingModelId" binding:"required"`
 	VLMConfig        *types.VLMConfig `json:"vlm_config"`
 
@@ -357,7 +357,12 @@ func (h *InitializationHandler) InitializeByKB(c *gin.Context) {
 		c.Error(errors.NewBadRequestError(err.Error()))
 		return
 	}
-	logger.Infof(ctx, "Starting knowledge base configuration update, kbId: %s, request: %s", utils.SanitizeForLog(kbIdStr), utils.SanitizeForLog(utils.ToJSON(req)))
+	logger.Infof(
+		ctx,
+		"Starting knowledge base configuration update, kbId: %s, request: %s",
+		utils.SanitizeForLog(kbIdStr),
+		utils.SanitizeForLog(utils.ToJSON(req)),
+	)
 
 	// 获取指定知识库信息
 	kb, err := h.kbService.GetKnowledgeBaseByID(ctx, kbIdStr)
@@ -1253,7 +1258,7 @@ func (h *InitializationHandler) buildConfigResponse(ctx context.Context, models
 // RemoteModelCheckRequest 远程模型检查请求结构
 type RemoteModelCheckRequest struct {
 	ModelName string `json:"modelName" binding:"required"`
-	BaseURL   string `json:"baseUrl" binding:"required"`
+	BaseURL   string `json:"baseUrl"   binding:"required"`
 	APIKey    string `json:"apiKey"`
 }
 
@@ -1764,8 +1769,8 @@ func (h *InitializationHandler) testMultimodalWithDocReader(
 
 // TextRelationExtractionRequest 文本关系提取请求结构
 type TextRelationExtractionRequest struct {
-	Text      string    `json:"text" binding:"required"`
-	Tags      []string  `json:"tags" binding:"required"`
+	Text      string    `json:"text"      binding:"required"`
+	Tags      []string  `json:"tags"      binding:"required"`
 	LLMConfig LLMConfig `json:"llmConfig"`
 }
 
@@ -1824,7 +1829,12 @@ func (h *InitializationHandler) ExtractTextRelations(c *gin.Context) {
 }
 
 // extractRelationsFromText 从文本中提取关系
-func (h *InitializationHandler) extractRelationsFromText(ctx context.Context, text string, tags []string, llm LLMConfig) (*TextRelationExtractionResponse, error) {
+func (h *InitializationHandler) extractRelationsFromText(
+	ctx context.Context,
+	text string,
+	tags []string,
+	llm LLMConfig,
+) (*TextRelationExtractionResponse, error) {
 	chatModel, err := chat.NewChat(&chat.ChatConfig{
 		ModelID:   "initialization",
 		APIKey:    llm.ApiKey,

internal/handler/knowledge.go

@@ -155,7 +155,12 @@ func (h *KnowledgeHandler) CreateKnowledgeFromFile(c *gin.Context) {
 		return
 	}
 
-	logger.Infof(ctx, "Knowledge created successfully, ID: %s, title: %s", secutils.SanitizeForLog(knowledge.ID), secutils.SanitizeForLog(knowledge.Title))
+	logger.Infof(
+		ctx,
+		"Knowledge created successfully, ID: %s, title: %s",
+		secutils.SanitizeForLog(knowledge.ID),
+		secutils.SanitizeForLog(knowledge.Title),
+	)
 	c.JSON(http.StatusOK, gin.H{
 		"success": true,
 		"data":    knowledge,
@@ -186,7 +191,12 @@ func (h *KnowledgeHandler) CreateKnowledgeFromURL(c *gin.Context) {
 	}
 
 	logger.Infof(ctx, "Received URL request: %s", secutils.SanitizeForLog(req.URL))
-	logger.Infof(ctx, "Creating knowledge from URL, knowledge base ID: %s, URL: %s", secutils.SanitizeForLog(kbID), secutils.SanitizeForLog(req.URL))
+	logger.Infof(
+		ctx,
+		"Creating knowledge from URL, knowledge base ID: %s, URL: %s",
+		secutils.SanitizeForLog(kbID),
+		secutils.SanitizeForLog(req.URL),
+	)
 
 	// Create knowledge entry from the URL
 	knowledge, err := h.kgService.CreateKnowledgeFromURL(ctx, kbID, req.URL, req.EnableMultimodel)
@@ -200,7 +210,12 @@ func (h *KnowledgeHandler) CreateKnowledgeFromURL(c *gin.Context) {
 		return
 	}
 
-	logger.Infof(ctx, "Knowledge created successfully from URL, ID: %s, title: %s", secutils.SanitizeForLog(knowledge.ID), secutils.SanitizeForLog(knowledge.Title))
+	logger.Infof(
+		ctx,
+		"Knowledge created successfully from URL, ID: %s, title: %s",
+		secutils.SanitizeForLog(knowledge.ID),
+		secutils.SanitizeForLog(knowledge.Title),
+	)
 	c.JSON(http.StatusCreated, gin.H{
 		"success": true,
 		"data":    knowledge,
@@ -268,7 +283,12 @@ func (h *KnowledgeHandler) GetKnowledge(c *gin.Context) {
 		return
 	}
 
-	logger.Infof(ctx, "Knowledge retrieved successfully, ID: %s, title: %s", secutils.SanitizeForLog(knowledge.ID), secutils.SanitizeForLog(knowledge.Title))
+	logger.Infof(
+		ctx,
+		"Knowledge retrieved successfully, ID: %s, title: %s",
+		secutils.SanitizeForLog(knowledge.ID),
+		secutils.SanitizeForLog(knowledge.Title),
+	)
 	c.JSON(http.StatusOK, gin.H{
 		"success": true,
 		"data":    knowledge,
@@ -299,8 +319,14 @@ func (h *KnowledgeHandler) ListKnowledge(c *gin.Context) {
 
 	tagID := c.Query("tag_id")
 
-	logger.Infof(ctx, "Retrieving knowledge list under knowledge base, knowledge base ID: %s, tag_id: %s, page: %d, page size: %d",
-		secutils.SanitizeForLog(kbID), secutils.SanitizeForLog(tagID), pagination.Page, pagination.PageSize)
+	logger.Infof(
+		ctx,
+		"Retrieving knowledge list under knowledge base, knowledge base ID: %s, tag_id: %s, page: %d, page size: %d",
+		secutils.SanitizeForLog(kbID),
+		secutils.SanitizeForLog(tagID),
+		pagination.Page,
+		pagination.PageSize,
+	)
 
 	// Retrieve paginated knowledge entries
 	result, err := h.kgService.ListPagedKnowledgeByKnowledgeBaseID(ctx, kbID, &pagination, tagID)
@@ -310,7 +336,12 @@ func (h *KnowledgeHandler) ListKnowledge(c *gin.Context) {
 		return
 	}
 
-	logger.Infof(ctx, "Knowledge list retrieved successfully, knowledge base ID: %s, total: %d", secutils.SanitizeForLog(kbID), result.Total)
+	logger.Infof(
+		ctx,
+		"Knowledge list retrieved successfully, knowledge base ID: %s, total: %d",
+		secutils.SanitizeForLog(kbID),
+		result.Total,
+	)
 	c.JSON(http.StatusOK, gin.H{
 		"success":   true,
 		"data":      result.Data,
@@ -374,7 +405,12 @@ func (h *KnowledgeHandler) DownloadKnowledgeFile(c *gin.Context) {
 	}
 	defer file.Close()
 
-	logger.Infof(ctx, "Knowledge file retrieved successfully, ID: %s, filename: %s", secutils.SanitizeForLog(id), secutils.SanitizeForLog(filename))
+	logger.Infof(
+		ctx,
+		"Knowledge file retrieved successfully, ID: %s, filename: %s",
+		secutils.SanitizeForLog(id),
+		secutils.SanitizeForLog(filename),
+	)
 
 	// Set response headers for file download
 	c.Header("Content-Description", "File Transfer")

internal/handler/knowledgebase.go

@@ -178,9 +178,9 @@ func (h *KnowledgeBaseHandler) ListKnowledgeBases(c *gin.Context) {
 
 // UpdateKnowledgeBaseRequest defines the request body structure for updating a knowledge base
 type UpdateKnowledgeBaseRequest struct {
-	Name        string                     `json:"name" binding:"required"`
+	Name        string                     `json:"name"        binding:"required"`
 	Description string                     `json:"description"`
-	Config      *types.KnowledgeBaseConfig `json:"config" binding:"required"`
+	Config      *types.KnowledgeBaseConfig `json:"config"      binding:"required"`
 }
 
 // UpdateKnowledgeBase handles requests to update an existing knowledge base

internal/handler/model.go

@@ -61,11 +61,11 @@ func hideSensitiveInfo(model *types.Model) *types.Model {
 // CreateModelRequest defines the structure for model creation requests
 // Contains all fields required to create a new model in the system
 type CreateModelRequest struct {
-	Name        string                `json:"name" binding:"required"`
-	Type        types.ModelType       `json:"type" binding:"required"`
-	Source      types.ModelSource     `json:"source" binding:"required"`
+	Name        string                `json:"name"        binding:"required"`
+	Type        types.ModelType       `json:"type"        binding:"required"`
+	Source      types.ModelSource     `json:"source"      binding:"required"`
 	Description string                `json:"description"`
-	Parameters  types.ModelParameters `json:"parameters" binding:"required"`
+	Parameters  types.ModelParameters `json:"parameters"  binding:"required"`
 }
 
 // CreateModel handles the HTTP request to create a new model
@@ -109,7 +109,12 @@ func (h *ModelHandler) CreateModel(c *gin.Context) {
 		return
 	}
 
-	logger.Infof(ctx, "Model created successfully, ID: %s, Name: %s", secutils.SanitizeForLog(model.ID), secutils.SanitizeForLog(model.Name))
+	logger.Infof(
+		ctx,
+		"Model created successfully, ID: %s, Name: %s",
+		secutils.SanitizeForLog(model.ID),
+		secutils.SanitizeForLog(model.Name),
+	)
 
 	// Hide sensitive information for builtin models (though newly created models are unlikely to be builtin)
 	responseModel := hideSensitiveInfo(model)

internal/handler/session/qa.go

@@ -104,7 +104,12 @@ func (h *Handler) KnowledgeQA(c *gin.Context) {
 		return
 	}
 
-	logger.Infof(ctx, "Knowledge QA request, session ID: %s, query: %s", sessionID, secutils.SanitizeForLog(request.Query))
+	logger.Infof(
+		ctx,
+		"Knowledge QA request, session ID: %s, query: %s",
+		sessionID,
+		secutils.SanitizeForLog(request.Query),
+	)
 
 	// Get session to prepare knowledge base IDs
 	session, err := h.sessionService.GetSession(ctx, sessionID)
@@ -118,7 +123,11 @@ func (h *Handler) KnowledgeQA(c *gin.Context) {
 	knowledgeBaseIDs := request.KnowledgeBaseIDs
 	if len(knowledgeBaseIDs) == 0 && session.KnowledgeBaseID != "" {
 		knowledgeBaseIDs = []string{session.KnowledgeBaseID}
-		logger.Infof(ctx, "No knowledge base IDs in request, using session default: %s", secutils.SanitizeForLog(session.KnowledgeBaseID))
+		logger.Infof(
+			ctx,
+			"No knowledge base IDs in request, using session default: %s",
+			secutils.SanitizeForLog(session.KnowledgeBaseID),
+		)
 	}
 
 	// Use shared function to handle KnowledgeQA request
@@ -284,21 +293,42 @@ func (h *Handler) AgentQA(c *gin.Context) {
 		// If still empty, use session default knowledge base
 		if len(knowledgeBaseIDs) == 0 && session.KnowledgeBaseID != "" {
 			knowledgeBaseIDs = []string{session.KnowledgeBaseID}
-			logger.Infof(ctx, "Using session default knowledge base: %s", secutils.SanitizeForLog(session.KnowledgeBaseID))
+			logger.Infof(
+				ctx,
+				"Using session default knowledge base: %s",
+				secutils.SanitizeForLog(session.KnowledgeBaseID),
+			)
 		}
 
 		// Validate at least one knowledge base is available
 		if len(knowledgeBaseIDs) == 0 {
 			logger.Error(ctx, "No knowledge base available for delegation")
-			c.Error(errors.NewBadRequestError("No knowledge base available. Please configure at least one knowledge base."))
+			c.Error(
+				errors.NewBadRequestError("No knowledge base available. Please configure at least one knowledge base."),
+			)
 			return
 		}
 
-		logger.Infof(ctx, "Delegating to KnowledgeQA with knowledge bases: %s", secutils.SanitizeForLog(fmt.Sprintf("%v", knowledgeBaseIDs)))
+		logger.Infof(
+			ctx,
+			"Delegating to KnowledgeQA with knowledge bases: %s",
+			secutils.SanitizeForLog(fmt.Sprintf("%v", knowledgeBaseIDs)),
+		)
 
 		// Use shared function to handle KnowledgeQA request (no title generation for AgentQA fallback)
-		h.handleKnowledgeQARequest(ctx, c, session, secutils.SanitizeForLog(request.Query),
-			secutils.SanitizeForLogArray(knowledgeBaseIDs), assistantMessage, false, secutils.SanitizeForLog(request.SummaryModelID), request.WebSearchEnabled)
+		h.handleKnowledgeQARequest(
+			ctx,
+			c,
+			session,
+			secutils.SanitizeForLog(request.Query),
+			secutils.SanitizeForLogArray(
+				knowledgeBaseIDs,
+			),
+			assistantMessage,
+			false,
+			secutils.SanitizeForLog(request.SummaryModelID),
+			request.WebSearchEnabled,
+		)
 		return
 	}
 
@@ -369,7 +399,13 @@ func (h *Handler) AgentQA(c *gin.Context) {
 			h.completeAssistantMessage(asyncCtx, assistantMessage)
 			logger.Infof(asyncCtx, "Agent QA service completed for session: %s", sessionID)
 		}()
-		err := h.sessionService.AgentQA(asyncCtx, session, secutils.SanitizeForLog(request.Query), assistantMessage.ID, eventBus)
+		err := h.sessionService.AgentQA(
+			asyncCtx,
+			session,
+			secutils.SanitizeForLog(request.Query),
+			assistantMessage.ID,
+			eventBus,
+		)
 		if err != nil {
 			logger.ErrorWithFields(asyncCtx, err, nil)
 			// Emit error event to dedicated EventBus
@@ -479,10 +515,23 @@ func (h *Handler) handleKnowledgeQARequest(
 			if r := recover(); r != nil {
 				buf := make([]byte, 10240)
 				runtime.Stack(buf, true)
-				logger.ErrorWithFields(asyncCtx, errors.NewInternalServerError(fmt.Sprintf("Knowledge QA service panicked: %v\n%s", r, string(buf))), nil)
+				logger.ErrorWithFields(
+					asyncCtx,
+					errors.NewInternalServerError(fmt.Sprintf("Knowledge QA service panicked: %v\n%s", r, string(buf))),
+					nil,
+				)
 			}
 		}()
-		err := h.sessionService.KnowledgeQA(asyncCtx, session, query, knowledgeBaseIDs, assistantMessage.ID, summaryModelID, webSearchEnabled, eventBus)
+		err := h.sessionService.KnowledgeQA(
+			asyncCtx,
+			session,
+			query,
+			knowledgeBaseIDs,
+			assistantMessage.ID,
+			summaryModelID,
+			webSearchEnabled,
+			eventBus,
+		)
 		if err != nil {
 			logger.ErrorWithFields(asyncCtx, err, nil)
 			// Emit error event to dedicated EventBus

internal/handler/session/stream.go

@@ -290,7 +290,11 @@ func (h *Handler) handleAgentEventsForSSE(
 		select {
 		case <-c.Request.Context().Done():
 			// Connection closed, exit gracefully without panic
-			log.Infof("Client disconnected, stopping SSE streaming for session=%s, message=%s", sessionID, assistantMessageID)
+			log.Infof(
+				"Client disconnected, stopping SSE streaming for session=%s, message=%s",
+				sessionID,
+				assistantMessageID,
+			)
 			return
 
 		case <-ticker.C:

internal/handler/session/types.go

@@ -53,16 +53,16 @@ type GenerateTitleRequest struct {
 
 // CreateKnowledgeQARequest defines the request structure for knowledge QA
 type CreateKnowledgeQARequest struct {
-	Query            string   `json:"query" binding:"required"` // Query text for knowledge base search
-	KnowledgeBaseIDs []string `json:"knowledge_base_ids"`       // Selected knowledge base ID for this request
-	AgentEnabled     bool     `json:"agent_enabled"`            // Whether agent mode is enabled for this request
-	WebSearchEnabled bool     `json:"web_search_enabled"`       // Whether web search is enabled for this request
-	SummaryModelID   string   `json:"summary_model_id"`         // Optional summary model ID for this request (overrides session default)
+	Query            string   `json:"query"              binding:"required"` // Query text for knowledge base search
+	KnowledgeBaseIDs []string `json:"knowledge_base_ids"`                    // Selected knowledge base ID for this request
+	AgentEnabled     bool     `json:"agent_enabled"`                         // Whether agent mode is enabled for this request
+	WebSearchEnabled bool     `json:"web_search_enabled"`                    // Whether web search is enabled for this request
+	SummaryModelID   string   `json:"summary_model_id"`                      // Optional summary model ID for this request (overrides session default)
 }
 
 // SearchKnowledgeRequest defines the request structure for searching knowledge without LLM summarization
 type SearchKnowledgeRequest struct {
-	Query           string `json:"query" binding:"required"`             // Query text to search for
+	Query           string `json:"query"             binding:"required"` // Query text to search for
 	KnowledgeBaseID string `json:"knowledge_base_id" binding:"required"` // ID of the knowledge base to search
 }
 

internal/handler/tag.go

@@ -40,7 +40,7 @@ func (h *TagHandler) ListTags(c *gin.Context) {
 }
 
 type createTagRequest struct {
-	Name      string `json:"name" binding:"required"`
+	Name      string `json:"name"       binding:"required"`
 	Color     string `json:"color"`
 	SortOrder int    `json:"sort_order"`
 }

internal/handler/tenant.go

@@ -70,7 +70,12 @@ func (h *TenantHandler) CreateTenant(c *gin.Context) {
 		return
 	}
 
-	logger.Infof(ctx, "Tenant created successfully, ID: %d, name: %s", createdTenant.ID, secutils.SanitizeForLog(createdTenant.Name))
+	logger.Infof(
+		ctx,
+		"Tenant created successfully, ID: %d, name: %s",
+		createdTenant.ID,
+		secutils.SanitizeForLog(createdTenant.Name),
+	)
 	c.JSON(http.StatusCreated, gin.H{
 		"success": true,
 		"data":    createdTenant,
@@ -151,7 +156,12 @@ func (h *TenantHandler) UpdateTenant(c *gin.Context) {
 		return
 	}
 
-	logger.Infof(ctx, "Tenant updated successfully, ID: %d, Name: %s", updatedTenant.ID, secutils.SanitizeForLog(updatedTenant.Name))
+	logger.Infof(
+		ctx,
+		"Tenant updated successfully, ID: %d, Name: %s",
+		updatedTenant.ID,
+		secutils.SanitizeForLog(updatedTenant.Name),
+	)
 	c.JSON(http.StatusOK, gin.H{
 		"success": true,
 		"data":    updatedTenant,

internal/middleware/auth.go

@@ -38,7 +38,11 @@ func isNoAuthAPI(path string, method string) bool {
 }
 
 // Auth 认证中间件
-func Auth(tenantService interfaces.TenantService, userService interfaces.UserService, cfg *config.Config) gin.HandlerFunc {
+func Auth(
+	tenantService interfaces.TenantService,
+	userService interfaces.UserService,
+	cfg *config.Config,
+) gin.HandlerFunc {
 	return func(c *gin.Context) {
 		// ignore OPTIONS request
 		if c.Request.Method == "OPTIONS" {

internal/models/chat/remote_api.go

@@ -263,7 +263,11 @@ func (c *RemoteAPIChat) Chat(ctx context.Context, messages []Message, opts *Chat
 }
 
 // chatWithQwen 使用自定义请求处理 qwen 模型
-func (c *RemoteAPIChat) chatWithQwen(ctx context.Context, messages []Message, opts *ChatOptions) (*types.ChatResponse, error) {
+func (c *RemoteAPIChat) chatWithQwen(
+	ctx context.Context,
+	messages []Message,
+	opts *ChatOptions,
+) (*types.ChatResponse, error) {
 	// 构建 qwen 请求参数
 	req := c.buildQwenChatCompletionRequest(messages, opts, false)
 

internal/models/embedding/openai.go

@@ -103,7 +103,8 @@ func (e *OpenAIEmbedder) doRequestWithRetry(ctx context.Context, jsonData []byte
 			if backoffTime > 10*time.Second {
 				backoffTime = 10 * time.Second
 			}
-			logger.GetLogger(ctx).Infof("OpenAIEmbedder retrying request (%d/%d), waiting %v", i, e.maxRetries, backoffTime)
+			logger.GetLogger(ctx).
+				Infof("OpenAIEmbedder retrying request (%d/%d), waiting %v", i, e.maxRetries, backoffTime)
 
 			select {
 			case <-time.After(backoffTime):

internal/models/rerank/reranker.go

@@ -88,7 +88,10 @@ type RerankerConfig struct {
 // NewReranker creates a reranker
 func NewReranker(config *RerankerConfig) (Reranker, error) {
 	// 根据URL判断模型来源，而不是依赖Source字段
-	if strings.Contains(config.BaseURL, "https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank") {
+	if strings.Contains(
+		config.BaseURL,
+		"https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank",
+	) {
 		return NewAliyunReranker(config)
 	} else {
 		return NewOpenAIReranker(config)

internal/models/utils/ollama/ollama.go

@@ -186,7 +186,8 @@ func (s *OllamaService) EnsureModelAvailable(ctx context.Context, modelName stri
 	available, err := s.IsModelAvailable(ctx, modelName)
 	if err != nil {
 		if s.isOptional {
-			logger.GetLogger(ctx).Warnf("Failed to check model %s availability, but Ollama is set as optional", modelName)
+			logger.GetLogger(ctx).
+				Warnf("Failed to check model %s availability, but Ollama is set as optional", modelName)
 			return nil
 		}
 		return err

internal/stream/memory_manager.go

@@ -60,7 +60,11 @@ func (m *MemoryStreamManager) getStream(sessionID, messageID string) *memoryStre
 }
 
 // AppendEvent appends a single event to the stream
-func (m *MemoryStreamManager) AppendEvent(ctx context.Context, sessionID, messageID string, event interfaces.StreamEvent) error {
+func (m *MemoryStreamManager) AppendEvent(
+	ctx context.Context,
+	sessionID, messageID string,
+	event interfaces.StreamEvent,
+) error {
 	stream := m.getOrCreateStream(sessionID, messageID)
 
 	stream.mu.Lock()
@@ -80,7 +84,11 @@ func (m *MemoryStreamManager) AppendEvent(ctx context.Context, sessionID, messag
 
 // GetEvents gets events starting from offset
 // Returns: events slice, next offset, error
-func (m *MemoryStreamManager) GetEvents(ctx context.Context, sessionID, messageID string, fromOffset int) ([]interfaces.StreamEvent, int, error) {
+func (m *MemoryStreamManager) GetEvents(
+	ctx context.Context,
+	sessionID, messageID string,
+	fromOffset int,
+) ([]interfaces.StreamEvent, int, error) {
 	stream := m.getStream(sessionID, messageID)
 	if stream == nil {
 		// Stream doesn't exist yet

internal/stream/redis_manager.go

@@ -54,7 +54,11 @@ func (r *RedisStreamManager) buildKey(sessionID, messageID string) string {
 }
 
 // AppendEvent appends a single event to the stream using Redis RPush
-func (r *RedisStreamManager) AppendEvent(ctx context.Context, sessionID, messageID string, event interfaces.StreamEvent) error {
+func (r *RedisStreamManager) AppendEvent(
+	ctx context.Context,
+	sessionID, messageID string,
+	event interfaces.StreamEvent,
+) error {
 	key := r.buildKey(sessionID, messageID)
 
 	// Set timestamp if not already set
@@ -83,7 +87,11 @@ func (r *RedisStreamManager) AppendEvent(ctx context.Context, sessionID, message
 
 // GetEvents gets events starting from offset using Redis LRange
 // Returns: events slice, next offset, error
-func (r *RedisStreamManager) GetEvents(ctx context.Context, sessionID, messageID string, fromOffset int) ([]interfaces.StreamEvent, int, error) {
+func (r *RedisStreamManager) GetEvents(
+	ctx context.Context,
+	sessionID, messageID string,
+	fromOffset int,
+) ([]interfaces.StreamEvent, int, error) {
 	key := r.buildKey(sessionID, messageID)
 
 	// Get all events from offset to end using LRange

internal/types/chunk.go

@@ -44,7 +44,7 @@ const (
 // ImageInfo 表示与 Chunk 关联的图片信息
 type ImageInfo struct {
 	// 图片URL（COS）
-	URL string `json:"url" gorm:"type:text"`
+	URL string `json:"url"          gorm:"type:text"`
 	// 原始图片URL
 	OriginalURL string `json:"original_url" gorm:"type:text"`
 	// 图片在文本中的开始位置
@@ -65,7 +65,7 @@ type ImageInfo struct {
 // Chunks can be independently embedded as vectors and retrieved, supporting precise content localization
 type Chunk struct {
 	// Unique identifier of the chunk, using UUID format
-	ID string `json:"id" gorm:"type:varchar(36);primaryKey"`
+	ID string `json:"id"                       gorm:"type:varchar(36);primaryKey"`
 	// Tenant ID, used for multi-tenant isolation
 	TenantID uint64 `json:"tenant_id"`
 	// ID of the parent knowledge, associated with the Knowledge model
@@ -73,17 +73,17 @@ type Chunk struct {
 	// ID of the knowledge base, for quick location
 	KnowledgeBaseID string `json:"knowledge_base_id"`
 	// Optional tag ID for categorization within a knowledge base (used for FAQ)
-	TagID string `json:"tag_id" gorm:"type:varchar(36);index"`
+	TagID string `json:"tag_id"                   gorm:"type:varchar(36);index"`
 	// Actual text content of the chunk
 	Content string `json:"content"`
 	// Index position of the chunk in the original document
 	ChunkIndex int `json:"chunk_index"`
 	// Whether the chunk is enabled, can be used to temporarily disable certain chunks
-	IsEnabled bool `json:"is_enabled" gorm:"default:true"`
+	IsEnabled bool `json:"is_enabled"               gorm:"default:true"`
 	// Status of the chunk
-	Status int `json:"status" gorm:"default:0"`
+	Status int `json:"status"                   gorm:"default:0"`
 	// Starting character position in the original text
-	StartAt int `json:"start_at" `
+	StartAt int `json:"start_at"`
 	// Ending character position in the original text
 	EndAt int `json:"end_at"`
 	// Previous chunk ID
@@ -91,23 +91,23 @@ type Chunk struct {
 	// Next chunk ID
 	NextChunkID string `json:"next_chunk_id"`
 	// Chunk 类型，用于区分不同类型的 Chunk
-	ChunkType ChunkType `json:"chunk_type" gorm:"type:varchar(20);default:'text'"`
+	ChunkType ChunkType `json:"chunk_type"               gorm:"type:varchar(20);default:'text'"`
 	// 父 Chunk ID，用于关联图片 Chunk 和原始文本 Chunk
-	ParentChunkID string `json:"parent_chunk_id" gorm:"type:varchar(36);index"`
+	ParentChunkID string `json:"parent_chunk_id"          gorm:"type:varchar(36);index"`
 	// 关系 Chunk ID，用于关联关系 Chunk 和原始文本 Chunk
-	RelationChunks JSON `json:"relation_chunks" gorm:"type:json"`
+	RelationChunks JSON `json:"relation_chunks"          gorm:"type:json"`
 	// 间接关系 Chunk ID，用于关联间接关系 Chunk 和原始文本 Chunk
 	IndirectRelationChunks JSON `json:"indirect_relation_chunks" gorm:"type:json"`
 	// Metadata 存储 chunk 级别的扩展信息，例如 FAQ 元数据
-	Metadata JSON `json:"metadata" gorm:"type:json"`
+	Metadata JSON `json:"metadata"                 gorm:"type:json"`
 	// ContentHash 存储内容的 hash 值，用于快速匹配（主要用于 FAQ）
-	ContentHash string `json:"content_hash" gorm:"type:varchar(64);index"`
+	ContentHash string `json:"content_hash"             gorm:"type:varchar(64);index"`
 	// 图片信息，存储为 JSON
-	ImageInfo string `json:"image_info" gorm:"type:text"`
+	ImageInfo string `json:"image_info"               gorm:"type:text"`
 	// Chunk creation time
 	CreatedAt time.Time `json:"created_at"`
 	// Chunk last update time
 	UpdatedAt time.Time `json:"updated_at"`
 	// Soft delete marker, supports data recovery
-	DeletedAt gorm.DeletedAt `json:"deleted_at" gorm:"index"`
+	DeletedAt gorm.DeletedAt `json:"deleted_at"               gorm:"index"`
 }

internal/types/faq.go

@@ -129,10 +129,10 @@ type FAQEntry struct {
 
 // FAQEntryPayload 用于创建/更新 FAQ 条目的 payload
 type FAQEntryPayload struct {
-	StandardQuestion  string   `json:"standard_question" binding:"required"`
+	StandardQuestion  string   `json:"standard_question"    binding:"required"`
 	SimilarQuestions  []string `json:"similar_questions"`
 	NegativeQuestions []string `json:"negative_questions"`
-	Answers           []string `json:"answers" binding:"required"`
+	Answers           []string `json:"answers"              binding:"required"`
 	TagID             string   `json:"tag_id"`
 	IsEnabled         *bool    `json:"is_enabled,omitempty"`
 }
@@ -144,14 +144,14 @@ const (
 
 // FAQBatchUpsertPayload 批量导入 FAQ 条目
 type FAQBatchUpsertPayload struct {
-	Entries     []FAQEntryPayload `json:"entries" binding:"required"`
-	Mode        string            `json:"mode" binding:"oneof=append replace"`
+	Entries     []FAQEntryPayload `json:"entries"      binding:"required"`
+	Mode        string            `json:"mode"         binding:"oneof=append replace"`
 	KnowledgeID string            `json:"knowledge_id"`
 }
 
 // FAQSearchRequest FAQ检索请求参数
 type FAQSearchRequest struct {
-	QueryText       string  `json:"query_text" binding:"required"`
+	QueryText       string  `json:"query_text"       binding:"required"`
 	VectorThreshold float64 `json:"vector_threshold"`
 	MatchCount      int     `json:"match_count"`
 }

internal/types/interfaces/agent.go

@@ -21,13 +21,26 @@ type AgentStreamEvent struct {
 // AgentEngine defines the interface for agent execution engine
 type AgentEngine interface {
 	// Execute executes the agent with conversation history and returns a stream of events
-	Execute(ctx context.Context, sessionID, messageID, query string, llmContext []chat.Message) (*types.AgentState, error)
+	Execute(
+		ctx context.Context,
+		sessionID, messageID, query string,
+		llmContext []chat.Message,
+	) (*types.AgentState, error)
 }
 
 // AgentService defines the interface for agent-related operations
 type AgentService interface {
 	// CreateAgentEngine creates an agent engine with the given configuration, EventBus, and ContextManager
-	CreateAgentEngine(ctx context.Context, config *types.AgentConfig, chatModel chat.Chat, rerankModel rerank.Reranker, eventBus *event.EventBus, contextManager ContextManager, sessionID string, sessionService SessionService) (AgentEngine, error)
+	CreateAgentEngine(
+		ctx context.Context,
+		config *types.AgentConfig,
+		chatModel chat.Chat,
+		rerankModel rerank.Reranker,
+		eventBus *event.EventBus,
+		contextManager ContextManager,
+		sessionID string,
+		sessionService SessionService,
+	) (AgentEngine, error)
 
 	// ValidateConfig validates an agent configuration
 	ValidateConfig(config *types.AgentConfig) error

internal/types/interfaces/knowledge.go

@@ -21,13 +21,22 @@ type KnowledgeService interface {
 		customFileName string,
 	) (*types.Knowledge, error)
 	// CreateKnowledgeFromURL creates knowledge from a URL.
-	CreateKnowledgeFromURL(ctx context.Context, kbID string, url string, enableMultimodel *bool) (*types.Knowledge, error)
+	CreateKnowledgeFromURL(
+		ctx context.Context,
+		kbID string,
+		url string,
+		enableMultimodel *bool,
+	) (*types.Knowledge, error)
 	// CreateKnowledgeFromPassage creates knowledge from text passages.
 	CreateKnowledgeFromPassage(ctx context.Context, kbID string, passage []string) (*types.Knowledge, error)
 	// CreateKnowledgeFromPassageSync creates knowledge from text passages and waits until chunks are indexed.
 	CreateKnowledgeFromPassageSync(ctx context.Context, kbID string, passage []string) (*types.Knowledge, error)
 	// CreateKnowledgeFromManual creates or saves manual Markdown knowledge content.
-	CreateKnowledgeFromManual(ctx context.Context, kbID string, payload *types.ManualKnowledgePayload) (*types.Knowledge, error)
+	CreateKnowledgeFromManual(
+		ctx context.Context,
+		kbID string,
+		payload *types.ManualKnowledgePayload,
+	) (*types.Knowledge, error)
 	// GetKnowledgeByID retrieves knowledge by ID.
 	GetKnowledgeByID(ctx context.Context, id string) (*types.Knowledge, error)
 	// GetKnowledgeBatch retrieves a batch of knowledge by IDs.
@@ -49,7 +58,11 @@ type KnowledgeService interface {
 	// UpdateKnowledge updates knowledge information.
 	UpdateKnowledge(ctx context.Context, knowledge *types.Knowledge) error
 	// UpdateManualKnowledge updates manual Markdown knowledge content.
-	UpdateManualKnowledge(ctx context.Context, knowledgeID string, payload *types.ManualKnowledgePayload) (*types.Knowledge, error)
+	UpdateManualKnowledge(
+		ctx context.Context,
+		knowledgeID string,
+		payload *types.ManualKnowledgePayload,
+	) (*types.Knowledge, error)
 	// CloneKnowledgeBase clones knowledge to another knowledge base.
 	CloneKnowledgeBase(ctx context.Context, srcID, dstID string) error
 	// UpdateImageInfo updates image information for a knowledge chunk.

internal/types/interfaces/session.go

@@ -40,13 +40,28 @@ type SessionService interface {
 	SearchKnowledge(ctx context.Context, knowledgeBaseID, query string) ([]*types.SearchResult, error)
 	// AgentQA performs agent-based question answering with conversation history and streaming support
 	// eventBus is optional - if nil, uses service's default EventBus
-	AgentQA(ctx context.Context, session *types.Session, query string, assistantMessageID string, eventBus *event.EventBus) error
+	AgentQA(
+		ctx context.Context,
+		session *types.Session,
+		query string,
+		assistantMessageID string,
+		eventBus *event.EventBus,
+	) error
 	// ClearContext clears the LLM context for a session
 	ClearContext(ctx context.Context, sessionID string) error
 	// GetWebSearchTempKBState retrieves the temporary KB state for web search from Redis
-	GetWebSearchTempKBState(ctx context.Context, sessionID string) (tempKBID string, seenURLs map[string]bool, knowledgeIDs []string)
+	GetWebSearchTempKBState(
+		ctx context.Context,
+		sessionID string,
+	) (tempKBID string, seenURLs map[string]bool, knowledgeIDs []string)
 	// SaveWebSearchTempKBState saves the temporary KB state for web search to Redis
-	SaveWebSearchTempKBState(ctx context.Context, sessionID string, tempKBID string, seenURLs map[string]bool, knowledgeIDs []string)
+	SaveWebSearchTempKBState(
+		ctx context.Context,
+		sessionID string,
+		tempKBID string,
+		seenURLs map[string]bool,
+		knowledgeIDs []string,
+	)
 	// DeleteWebSearchTempKBState deletes the temporary KB state for web search from Redis and cleans up associated knowledge base and knowledge items
 	DeleteWebSearchTempKBState(ctx context.Context, sessionID string) error
 }

internal/types/interfaces/tag.go

@@ -26,5 +26,10 @@ type KnowledgeTagRepository interface {
 	ListByKB(ctx context.Context, tenantID uint64, kbID string) ([]*types.KnowledgeTag, error)
 	Delete(ctx context.Context, tenantID uint64, id string) error
 	// CountReferences returns number of knowledges and chunks that reference the tag.
-	CountReferences(ctx context.Context, tenantID uint64, kbID string, tagID string) (knowledgeCount int64, chunkCount int64, err error)
+	CountReferences(
+		ctx context.Context,
+		tenantID uint64,
+		kbID string,
+		tagID string,
+	) (knowledgeCount int64, chunkCount int64, err error)
 }

internal/types/knowledge.go

@@ -28,13 +28,13 @@ const (
 // and references to the physical file if applicable.
 type Knowledge struct {
 	// Unique identifier of the knowledge
-	ID string `json:"id" gorm:"type:varchar(36);primaryKey"`
+	ID string `json:"id"                 gorm:"type:varchar(36);primaryKey"`
 	// Tenant ID
 	TenantID uint64 `json:"tenant_id"`
 	// ID of the knowledge base
 	KnowledgeBaseID string `json:"knowledge_base_id"`
 	// Optional tag ID for categorization within a knowledge base
-	TagID string `json:"tag_id" gorm:"type:varchar(36);index"`
+	TagID string `json:"tag_id"             gorm:"type:varchar(36);index"`
 	// Type of the knowledge
 	Type string `json:"type"`
 	// Title of the knowledge
@@ -62,7 +62,7 @@ type Knowledge struct {
 	// Storage size of the knowledge
 	StorageSize int64 `json:"storage_size"`
 	// Metadata of the knowledge
-	Metadata JSON `json:"metadata" gorm:"type:json"`
+	Metadata JSON `json:"metadata"           gorm:"type:json"`
 	// Creation time of the knowledge
 	CreatedAt time.Time `json:"created_at"`
 	// Last updated time of the knowledge
@@ -72,7 +72,7 @@ type Knowledge struct {
 	// Error message of the knowledge
 	ErrorMessage string `json:"error_message"`
 	// Deletion time of the knowledge
-	DeletedAt gorm.DeletedAt `json:"deleted_at" gorm:"index"`
+	DeletedAt gorm.DeletedAt `json:"deleted_at"         gorm:"index"`
 }
 
 // GetMetadata returns the metadata as a map[string]string.

internal/types/knowledgebase.go

@@ -38,85 +38,85 @@ const (
 // KnowledgeBase represents a knowledge base entity
 type KnowledgeBase struct {
 	// Unique identifier of the knowledge base
-	ID string `yaml:"id" json:"id" gorm:"type:varchar(36);primaryKey"`
+	ID string `yaml:"id"                      json:"id"                      gorm:"type:varchar(36);primaryKey"`
 	// Name of the knowledge base
-	Name string `yaml:"name" json:"name"`
+	Name string `yaml:"name"                    json:"name"`
 	// Type of the knowledge base (document, faq, etc.)
-	Type string `yaml:"type" json:"type" gorm:"type:varchar(32);default:'document'"`
+	Type string `yaml:"type"                    json:"type"                    gorm:"type:varchar(32);default:'document'"`
 	// Whether this knowledge base is temporary (ephemeral) and should be hidden from UI
-	IsTemporary bool `yaml:"is_temporary" json:"is_temporary" gorm:"default:false"`
+	IsTemporary bool `yaml:"is_temporary"            json:"is_temporary"            gorm:"default:false"`
 	// Description of the knowledge base
-	Description string `yaml:"description" json:"description"`
+	Description string `yaml:"description"             json:"description"`
 	// Tenant ID
-	TenantID uint64 `yaml:"tenant_id" json:"tenant_id"`
+	TenantID uint64 `yaml:"tenant_id"               json:"tenant_id"`
 	// Chunking configuration
-	ChunkingConfig ChunkingConfig `yaml:"chunking_config" json:"chunking_config" gorm:"type:json"`
+	ChunkingConfig ChunkingConfig `yaml:"chunking_config"         json:"chunking_config"         gorm:"type:json"`
 	// Image processing configuration
 	ImageProcessingConfig ImageProcessingConfig `yaml:"image_processing_config" json:"image_processing_config" gorm:"type:json"`
 	// ID of the embedding model
-	EmbeddingModelID string `yaml:"embedding_model_id" json:"embedding_model_id"`
+	EmbeddingModelID string `yaml:"embedding_model_id"      json:"embedding_model_id"`
 	// Summary model ID
-	SummaryModelID string `yaml:"summary_model_id" json:"summary_model_id"`
+	SummaryModelID string `yaml:"summary_model_id"        json:"summary_model_id"`
 	// VLM config
-	VLMConfig VLMConfig `yaml:"vlm_config" json:"vlm_config" gorm:"type:json"`
+	VLMConfig VLMConfig `yaml:"vlm_config"              json:"vlm_config"              gorm:"type:json"`
 	// Storage config
-	StorageConfig StorageConfig `yaml:"cos_config" json:"cos_config" gorm:"column:cos_config;type:json"`
+	StorageConfig StorageConfig `yaml:"cos_config"              json:"cos_config"              gorm:"column:cos_config;type:json"`
 	// Extract config
-	ExtractConfig *ExtractConfig `yaml:"extract_config" json:"extract_config" gorm:"column:extract_config;type:json"`
+	ExtractConfig *ExtractConfig `yaml:"extract_config"          json:"extract_config"          gorm:"column:extract_config;type:json"`
 	// FAQConfig stores FAQ specific configuration such as indexing strategy
-	FAQConfig *FAQConfig `yaml:"faq_config" json:"faq_config" gorm:"column:faq_config;type:json"`
+	FAQConfig *FAQConfig `yaml:"faq_config"              json:"faq_config"              gorm:"column:faq_config;type:json"`
 	// Creation time of the knowledge base
-	CreatedAt time.Time `yaml:"created_at" json:"created_at"`
+	CreatedAt time.Time `yaml:"created_at"              json:"created_at"`
 	// Last updated time of the knowledge base
-	UpdatedAt time.Time `yaml:"updated_at" json:"updated_at"`
+	UpdatedAt time.Time `yaml:"updated_at"              json:"updated_at"`
 	// Deletion time of the knowledge base
-	DeletedAt gorm.DeletedAt `yaml:"deleted_at" json:"deleted_at" gorm:"index"`
+	DeletedAt gorm.DeletedAt `yaml:"deleted_at"              json:"deleted_at"              gorm:"index"`
 	// Knowledge count (not stored in database, calculated on query)
-	KnowledgeCount int64 `yaml:"knowledge_count" json:"knowledge_count" gorm:"-"`
+	KnowledgeCount int64 `yaml:"knowledge_count"         json:"knowledge_count"         gorm:"-"`
 	// Chunk count (not stored in database, calculated on query)
-	ChunkCount int64 `yaml:"chunk_count" json:"chunk_count" gorm:"-"`
+	ChunkCount int64 `yaml:"chunk_count"             json:"chunk_count"             gorm:"-"`
 	// IsProcessing indicates if there is a processing import task (for FAQ type knowledge bases)
-	IsProcessing bool `yaml:"is_processing" json:"is_processing" gorm:"-"`
+	IsProcessing bool `yaml:"is_processing"           json:"is_processing"           gorm:"-"`
 	// ProcessingCount indicates the number of knowledge items being processed (for document type knowledge bases)
-	ProcessingCount int64 `yaml:"processing_count" json:"processing_count" gorm:"-"`
+	ProcessingCount int64 `yaml:"processing_count"        json:"processing_count"        gorm:"-"`
 }
 
 // KnowledgeBaseConfig represents the knowledge base configuration
 type KnowledgeBaseConfig struct {
 	// Chunking configuration
-	ChunkingConfig ChunkingConfig `yaml:"chunking_config" json:"chunking_config"`
+	ChunkingConfig ChunkingConfig `yaml:"chunking_config"         json:"chunking_config"`
 	// Image processing configuration
 	ImageProcessingConfig ImageProcessingConfig `yaml:"image_processing_config" json:"image_processing_config"`
 	// FAQ configuration (only for FAQ type knowledge bases)
-	FAQConfig *FAQConfig `yaml:"faq_config" json:"faq_config"`
+	FAQConfig *FAQConfig `yaml:"faq_config"              json:"faq_config"`
 }
 
 // ChunkingConfig represents the document splitting configuration
 type ChunkingConfig struct {
 	// Chunk size
-	ChunkSize int `yaml:"chunk_size" json:"chunk_size"`
+	ChunkSize int `yaml:"chunk_size"    json:"chunk_size"`
 	// Chunk overlap
 	ChunkOverlap int `yaml:"chunk_overlap" json:"chunk_overlap"`
 	// Separators
-	Separators []string `yaml:"separators" json:"separators"`
+	Separators []string `yaml:"separators"    json:"separators"`
 }
 
 // COSConfig represents the COS configuration
 type StorageConfig struct {
 	// Secret ID
-	SecretID string `yaml:"secret_id" json:"secret_id"`
+	SecretID string `yaml:"secret_id"   json:"secret_id"`
 	// Secret Key
-	SecretKey string `yaml:"secret_key" json:"secret_key"`
+	SecretKey string `yaml:"secret_key"  json:"secret_key"`
 	// Region
-	Region string `yaml:"region" json:"region"`
+	Region string `yaml:"region"      json:"region"`
 	// Bucket Name
 	BucketName string `yaml:"bucket_name" json:"bucket_name"`
 	// App ID
-	AppID string `yaml:"app_id" json:"app_id"`
+	AppID string `yaml:"app_id"      json:"app_id"`
 	// Path Prefix
 	PathPrefix string `yaml:"path_prefix" json:"path_prefix"`
 	// Provider
-	Provider string `yaml:"provider" json:"provider"`
+	Provider string `yaml:"provider"    json:"provider"`
 }
 
 func (c StorageConfig) Value() (driver.Value, error) {
@@ -176,7 +176,7 @@ func (c *ImageProcessingConfig) Scan(value interface{}) error {
 
 // VLMConfig represents the VLM configuration
 type VLMConfig struct {
-	Enabled bool   `yaml:"enabled" json:"enabled"`
+	Enabled bool   `yaml:"enabled"  json:"enabled"`
 	ModelID string `yaml:"model_id" json:"model_id"`
 }
 
@@ -199,10 +199,10 @@ func (c *VLMConfig) Scan(value interface{}) error {
 
 // ExtractConfig represents the extract configuration for a knowledge base
 type ExtractConfig struct {
-	Enabled   bool             `yaml:"enabled" json:"enabled"`
-	Text      string           `yaml:"text" json:"text,omitempty"`
-	Tags      []string         `yaml:"tags" json:"tags,omitempty"`
-	Nodes     []*GraphNode     `yaml:"nodes" json:"nodes,omitempty"`
+	Enabled   bool             `yaml:"enabled"   json:"enabled"`
+	Text      string           `yaml:"text"      json:"text,omitempty"`
+	Tags      []string         `yaml:"tags"      json:"tags,omitempty"`
+	Nodes     []*GraphNode     `yaml:"nodes"     json:"nodes,omitempty"`
 	Relations []*GraphRelation `yaml:"relations" json:"relations,omitempty"`
 }
 
@@ -225,7 +225,7 @@ func (e *ExtractConfig) Scan(value interface{}) error {
 
 // FAQConfig 存储 FAQ 知识库的特有配置
 type FAQConfig struct {
-	IndexMode         FAQIndexMode         `yaml:"index_mode" json:"index_mode"`
+	IndexMode         FAQIndexMode         `yaml:"index_mode"          json:"index_mode"`
 	QuestionIndexMode FAQQuestionIndexMode `yaml:"question_index_mode" json:"question_index_mode"`
 }
 

internal/types/mcp.go

@@ -20,21 +20,21 @@ const (
 
 // MCPService represents an MCP (Model Context Protocol) service configuration
 type MCPService struct {
-	ID             string             `json:"id" gorm:"type:varchar(36);primaryKey"`
-	TenantID       uint64             `json:"tenant_id" gorm:"index"`
-	Name           string             `json:"name" gorm:"type:varchar(255);not null"`
-	Description    string             `json:"description" gorm:"type:text"`
-	Enabled        bool               `json:"enabled" gorm:"default:true;index"`
-	TransportType  MCPTransportType   `json:"transport_type" gorm:"type:varchar(50);not null"`
-	URL            *string            `json:"url,omitempty" gorm:"type:varchar(512)"` // Optional: required for SSE/HTTP Streamable
-	Headers        MCPHeaders         `json:"headers" gorm:"type:json"`
-	AuthConfig     *MCPAuthConfig     `json:"auth_config" gorm:"type:json"`
-	AdvancedConfig *MCPAdvancedConfig `json:"advanced_config" gorm:"type:json"`
+	ID             string             `json:"id"                     gorm:"type:varchar(36);primaryKey"`
+	TenantID       uint64             `json:"tenant_id"              gorm:"index"`
+	Name           string             `json:"name"                   gorm:"type:varchar(255);not null"`
+	Description    string             `json:"description"            gorm:"type:text"`
+	Enabled        bool               `json:"enabled"                gorm:"default:true;index"`
+	TransportType  MCPTransportType   `json:"transport_type"         gorm:"type:varchar(50);not null"`
+	URL            *string            `json:"url,omitempty"          gorm:"type:varchar(512)"` // Optional: required for SSE/HTTP Streamable
+	Headers        MCPHeaders         `json:"headers"                gorm:"type:json"`
+	AuthConfig     *MCPAuthConfig     `json:"auth_config"            gorm:"type:json"`
+	AdvancedConfig *MCPAdvancedConfig `json:"advanced_config"        gorm:"type:json"`
 	StdioConfig    *MCPStdioConfig    `json:"stdio_config,omitempty" gorm:"type:json"` // Required for stdio transport
-	EnvVars        MCPEnvVars         `json:"env_vars,omitempty" gorm:"type:json"`     // Environment variables for stdio
+	EnvVars        MCPEnvVars         `json:"env_vars,omitempty"     gorm:"type:json"` // Environment variables for stdio
 	CreatedAt      time.Time          `json:"created_at"`
 	UpdatedAt      time.Time          `json:"updated_at"`
-	DeletedAt      gorm.DeletedAt     `json:"deleted_at" gorm:"index"`
+	DeletedAt      gorm.DeletedAt     `json:"deleted_at"             gorm:"index"`
 }
 
 // MCPHeaders represents HTTP headers as a map

internal/types/message.go

@@ -25,7 +25,7 @@ type History struct {
 // Messages can contain references to knowledge chunks used to generate responses
 type Message struct {
 	// Unique identifier for the message
-	ID string `json:"id" gorm:"type:varchar(36);primaryKey"`
+	ID string `json:"id"                    gorm:"type:varchar(36);primaryKey"`
 	// ID of the session this message belongs to
 	SessionID string `json:"session_id"`
 	// Request identifier for tracking API requests
@@ -35,7 +35,7 @@ type Message struct {
 	// Message role: "user", "assistant", "system"
 	Role string `json:"role"`
 	// References to knowledge chunks used in the response
-	KnowledgeReferences References `json:"knowledge_references" gorm:"type:json,column:knowledge_references"`
+	KnowledgeReferences References `json:"knowledge_references"  gorm:"type:json,column:knowledge_references"`
 	// Agent execution steps (only for assistant messages generated by agent)
 	// This contains the detailed reasoning process and tool calls made by the agent
 	// Stored for user history display, but NOT included in LLM context to avoid redundancy
@@ -47,7 +47,7 @@ type Message struct {
 	// Last update timestamp
 	UpdatedAt time.Time `json:"updated_at"`
 	// Soft delete timestamp
-	DeletedAt gorm.DeletedAt `json:"deleted_at" gorm:"index"`
+	DeletedAt gorm.DeletedAt `json:"deleted_at"            gorm:"index"`
 }
 
 // AgentSteps represents a collection of agent execution steps

internal/types/model.go

@@ -39,46 +39,46 @@ const (
 
 // EmbeddingParameters represents the embedding parameters for a model
 type EmbeddingParameters struct {
-	Dimension            int `yaml:"dimension" json:"dimension"`
+	Dimension            int `yaml:"dimension"              json:"dimension"`
 	TruncatePromptTokens int `yaml:"truncate_prompt_tokens" json:"truncate_prompt_tokens"`
 }
 
 type ModelParameters struct {
-	BaseURL             string              `yaml:"base_url" json:"base_url"`
-	APIKey              string              `yaml:"api_key" json:"api_key"`
-	InterfaceType       string              `yaml:"interface_type" json:"interface_type"`
+	BaseURL             string              `yaml:"base_url"             json:"base_url"`
+	APIKey              string              `yaml:"api_key"              json:"api_key"`
+	InterfaceType       string              `yaml:"interface_type"       json:"interface_type"`
 	EmbeddingParameters EmbeddingParameters `yaml:"embedding_parameters" json:"embedding_parameters"`
-	ParameterSize       string              `yaml:"parameter_size" json:"parameter_size"` // Ollama model parameter size (e.g., "7B", "13B", "70B")
+	ParameterSize       string              `yaml:"parameter_size"       json:"parameter_size"` // Ollama model parameter size (e.g., "7B", "13B", "70B")
 }
 
 // Model represents the AI model
 type Model struct {
 	// Unique identifier of the model
-	ID string `yaml:"id" json:"id" gorm:"type:varchar(36);primaryKey"`
+	ID string `yaml:"id"          json:"id"          gorm:"type:varchar(36);primaryKey"`
 	// Tenant ID
-	TenantID uint64 `yaml:"tenant_id" json:"tenant_id"`
+	TenantID uint64 `yaml:"tenant_id"   json:"tenant_id"`
 	// Name of the model
-	Name string `yaml:"name" json:"name"`
+	Name string `yaml:"name"        json:"name"`
 	// Type of the model
-	Type ModelType `yaml:"type" json:"type"`
+	Type ModelType `yaml:"type"        json:"type"`
 	// Source of the model
-	Source ModelSource `yaml:"source" json:"source"`
+	Source ModelSource `yaml:"source"      json:"source"`
 	// Description of the model
 	Description string `yaml:"description" json:"description"`
 	// Model parameters in JSON format
-	Parameters ModelParameters `yaml:"parameters" json:"parameters" gorm:"type:json"`
+	Parameters ModelParameters `yaml:"parameters"  json:"parameters"  gorm:"type:json"`
 	// Whether the model is the default model
-	IsDefault bool `yaml:"is_default" json:"is_default"`
+	IsDefault bool `yaml:"is_default"  json:"is_default"`
 	// Whether the model is a builtin model (visible to all tenants)
-	IsBuiltin bool `yaml:"is_builtin" json:"is_builtin" gorm:"default:false"`
+	IsBuiltin bool `yaml:"is_builtin"  json:"is_builtin"  gorm:"default:false"`
 	// Model status, default: active, possible: downloading, download_failed
-	Status ModelStatus `yaml:"status" json:"status"`
+	Status ModelStatus `yaml:"status"      json:"status"`
 	// Creation time of the model
-	CreatedAt time.Time `yaml:"created_at" json:"created_at"`
+	CreatedAt time.Time `yaml:"created_at"  json:"created_at"`
 	// Last updated time of the model
-	UpdatedAt time.Time `yaml:"updated_at" json:"updated_at"`
+	UpdatedAt time.Time `yaml:"updated_at"  json:"updated_at"`
 	// Deletion time of the model
-	DeletedAt gorm.DeletedAt `yaml:"deleted_at" json:"deleted_at" gorm:"index"`
+	DeletedAt gorm.DeletedAt `yaml:"deleted_at"  json:"deleted_at"  gorm:"index"`
 }
 
 // Value implements the driver.Valuer interface, used to convert ModelParameters to database value

internal/types/retriever.go

@@ -48,7 +48,7 @@ type RetrieverEngineParams struct {
 	// Retriever engine type
 	RetrieverEngineType RetrieverEngineType `yaml:"retriever_engine_type" json:"retriever_engine_type"`
 	// Retriever type
-	RetrieverType RetrieverType `yaml:"retriever_type" json:"retriever_type"`
+	RetrieverType RetrieverType `yaml:"retriever_type"        json:"retriever_type"`
 }
 
 // IndexWithScore represents the index with score

internal/types/search.go

@@ -8,29 +8,29 @@ import (
 // SearchResult represents the search result
 type SearchResult struct {
 	// ID
-	ID string `gorm:"column:id" json:"id"`
+	ID string `gorm:"column:id"              json:"id"`
 	// Content
-	Content string `gorm:"column:content" json:"content"`
+	Content string `gorm:"column:content"         json:"content"`
 	// Knowledge ID
-	KnowledgeID string `gorm:"column:knowledge_id" json:"knowledge_id"`
+	KnowledgeID string `gorm:"column:knowledge_id"    json:"knowledge_id"`
 	// Chunk index
-	ChunkIndex int `gorm:"column:chunk_index" json:"chunk_index"`
+	ChunkIndex int `gorm:"column:chunk_index"     json:"chunk_index"`
 	// Knowledge title
 	KnowledgeTitle string `gorm:"column:knowledge_title" json:"knowledge_title"`
 	// Start at
-	StartAt int `gorm:"column:start_at" json:"start_at"`
+	StartAt int `gorm:"column:start_at"        json:"start_at"`
 	// End at
-	EndAt int `gorm:"column:end_at" json:"end_at"`
+	EndAt int `gorm:"column:end_at"          json:"end_at"`
 	// Seq
-	Seq int `gorm:"column:seq" json:"seq"`
+	Seq int `gorm:"column:seq"             json:"seq"`
 	// Score
-	Score float64 `json:"score"`
+	Score float64 `                              json:"score"`
 	// Match type
-	MatchType MatchType `json:"match_type"`
+	MatchType MatchType `                              json:"match_type"`
 	// SubChunkIndex
-	SubChunkID []string `json:"sub_chunk_id"`
+	SubChunkID []string `                              json:"sub_chunk_id"`
 	// Metadata
-	Metadata map[string]string `json:"metadata"`
+	Metadata map[string]string `                              json:"metadata"`
 
 	// Chunk 类型
 	ChunkType string `json:"chunk_type"`
@@ -78,7 +78,7 @@ func (c *SearchResult) Scan(value interface{}) error {
 // Pagination represents the pagination parameters
 type Pagination struct {
 	// Page
-	Page int `form:"page" json:"page" binding:"omitempty,min=1"`
+	Page int `form:"page"      json:"page"      binding:"omitempty,min=1"`
 	// Page size
 	PageSize int `form:"page_size" json:"page_size" binding:"omitempty,min=1,max=100"`
 }

internal/types/session.go

@@ -72,30 +72,30 @@ type ContextConfig struct {
 // Session represents the session
 type Session struct {
 	// ID
-	ID string `json:"id" gorm:"type:varchar(36);primaryKey"`
+	ID string `json:"id"          gorm:"type:varchar(36);primaryKey"`
 	// Title
 	Title string `json:"title"`
 	// Description
 	Description string `json:"description"`
 	// Tenant ID
-	TenantID uint64 `json:"tenant_id" gorm:"index"`
+	TenantID uint64 `json:"tenant_id"   gorm:"index"`
 
 	// Strategy configuration
-	KnowledgeBaseID   string              `json:"knowledge_base_id"`                   // 关联的知识库ID
-	MaxRounds         int                 `json:"max_rounds"`                          // 多轮保持轮数
-	EnableRewrite     bool                `json:"enable_rewrite"`                      // 多轮改写开关
-	FallbackStrategy  FallbackStrategy    `json:"fallback_strategy"`                   // 兜底策略
-	FallbackResponse  string              `json:"fallback_response"`                   // 固定回复内容
-	EmbeddingTopK     int                 `json:"embedding_top_k"`                     // 向量召回TopK
-	KeywordThreshold  float64             `json:"keyword_threshold"`                   // 关键词召回阈值
-	VectorThreshold   float64             `json:"vector_threshold"`                    // 向量召回阈值
-	RerankModelID     string              `json:"rerank_model_id"`                     // 排序模型ID
-	RerankTopK        int                 `json:"rerank_top_k"`                        // 排序TopK
-	RerankThreshold   float64             `json:"rerank_threshold"`                    // 排序阈值
-	SummaryModelID    string              `json:"summary_model_id"`                    // 总结模型ID
-	SummaryParameters *SummaryConfig      `json:"summary_parameters" gorm:"type:json"` // 总结模型参数
-	AgentConfig       *SessionAgentConfig `json:"agent_config" gorm:"type:jsonb"`      // Agent 配置（会话级别，仅存储enabled和knowledge_bases）
-	ContextConfig     *ContextConfig      `json:"context_config" gorm:"type:jsonb"`    // 上下文管理配置（可选）
+	KnowledgeBaseID   string              `json:"knowledge_base_id"`                    // 关联的知识库ID
+	MaxRounds         int                 `json:"max_rounds"`                           // 多轮保持轮数
+	EnableRewrite     bool                `json:"enable_rewrite"`                       // 多轮改写开关
+	FallbackStrategy  FallbackStrategy    `json:"fallback_strategy"`                    // 兜底策略
+	FallbackResponse  string              `json:"fallback_response"`                    // 固定回复内容
+	EmbeddingTopK     int                 `json:"embedding_top_k"`                      // 向量召回TopK
+	KeywordThreshold  float64             `json:"keyword_threshold"`                    // 关键词召回阈值
+	VectorThreshold   float64             `json:"vector_threshold"`                     // 向量召回阈值
+	RerankModelID     string              `json:"rerank_model_id"`                      // 排序模型ID
+	RerankTopK        int                 `json:"rerank_top_k"`                         // 排序TopK
+	RerankThreshold   float64             `json:"rerank_threshold"`                     // 排序阈值
+	SummaryModelID    string              `json:"summary_model_id"`                     // 总结模型ID
+	SummaryParameters *SummaryConfig      `json:"summary_parameters" gorm:"type:json"`  // 总结模型参数
+	AgentConfig       *SessionAgentConfig `json:"agent_config"       gorm:"type:jsonb"` // Agent 配置（会话级别，仅存储enabled和knowledge_bases）
+	ContextConfig     *ContextConfig      `json:"context_config"     gorm:"type:jsonb"` // 上下文管理配置（可选）
 
 	CreatedAt time.Time      `json:"created_at"`
 	UpdatedAt time.Time      `json:"updated_at"`

internal/types/tag.go

@@ -7,17 +7,17 @@ import "time"
 // Knowledge (documents) and FAQ Chunks.
 type KnowledgeTag struct {
 	// Unique identifier of the tag (UUID)
-	ID string `json:"id" gorm:"type:varchar(36);primaryKey"`
+	ID string `json:"id"                gorm:"type:varchar(36);primaryKey"`
 	// Tenant ID
 	TenantID uint64 `json:"tenant_id"`
 	// Knowledge base ID that this tag belongs to
 	KnowledgeBaseID string `json:"knowledge_base_id" gorm:"type:varchar(36);index"`
 	// Tag name, unique within the same knowledge base
-	Name string `json:"name" gorm:"type:varchar(128);not null"`
+	Name string `json:"name"              gorm:"type:varchar(128);not null"`
 	// Optional display color
-	Color string `json:"color" gorm:"type:varchar(32)"`
+	Color string `json:"color"             gorm:"type:varchar(32)"`
 	// Sort order within the same knowledge base
-	SortOrder int `json:"sort_order" gorm:"default:0"`
+	SortOrder int `json:"sort_order"        gorm:"default:0"`
 	// Creation time
 	CreatedAt time.Time `json:"created_at"`
 	// Last updated time

internal/types/tenant.go

@@ -11,37 +11,37 @@ import (
 // Tenant represents the tenant
 type Tenant struct {
 	// ID
-	ID uint64 `yaml:"id" json:"id" gorm:"primaryKey"`
+	ID uint64 `yaml:"id"                  json:"id"                  gorm:"primaryKey"`
 	// Name
-	Name string `yaml:"name" json:"name"`
+	Name string `yaml:"name"                json:"name"`
 	// Description
-	Description string `yaml:"description" json:"description"`
+	Description string `yaml:"description"         json:"description"`
 	// API key
-	APIKey string `yaml:"api_key" json:"api_key"`
+	APIKey string `yaml:"api_key"             json:"api_key"`
 	// Status
-	Status string `yaml:"status" json:"status" gorm:"default:'active'"`
+	Status string `yaml:"status"              json:"status"              gorm:"default:'active'"`
 	// Retriever engines
-	RetrieverEngines RetrieverEngines `yaml:"retriever_engines" json:"retriever_engines" gorm:"type:json"`
+	RetrieverEngines RetrieverEngines `yaml:"retriever_engines"   json:"retriever_engines"   gorm:"type:json"`
 	// Business
-	Business string `yaml:"business" json:"business"`
+	Business string `yaml:"business"            json:"business"`
 	// Storage quota (Bytes), default is 10GB, including vector, original file, text, index, etc.
-	StorageQuota int64 `yaml:"storage_quota" json:"storage_quota" gorm:"default:10737418240"`
+	StorageQuota int64 `yaml:"storage_quota"       json:"storage_quota"       gorm:"default:10737418240"`
 	// Storage used (Bytes)
-	StorageUsed int64 `yaml:"storage_used" json:"storage_used" gorm:"default:0"`
+	StorageUsed int64 `yaml:"storage_used"        json:"storage_used"        gorm:"default:0"`
 	// Global Agent configuration for this tenant (default for all sessions)
-	AgentConfig *AgentConfig `yaml:"agent_config" json:"agent_config" gorm:"type:jsonb"`
+	AgentConfig *AgentConfig `yaml:"agent_config"        json:"agent_config"        gorm:"type:jsonb"`
 	// Global Context configuration for this tenant (default for all sessions)
-	ContextConfig *ContextConfig `yaml:"context_config" json:"context_config" gorm:"type:jsonb"`
+	ContextConfig *ContextConfig `yaml:"context_config"      json:"context_config"      gorm:"type:jsonb"`
 	// Global WebSearch configuration for this tenant
-	WebSearchConfig *WebSearchConfig `yaml:"web_search_config" json:"web_search_config" gorm:"type:jsonb"`
+	WebSearchConfig *WebSearchConfig `yaml:"web_search_config"   json:"web_search_config"   gorm:"type:jsonb"`
 	// Global Conversation configuration for this tenant (default for normal mode sessions)
 	ConversationConfig *ConversationConfig `yaml:"conversation_config" json:"conversation_config" gorm:"type:jsonb"`
 	// Creation time
-	CreatedAt time.Time `yaml:"created_at" json:"created_at"`
+	CreatedAt time.Time `yaml:"created_at"          json:"created_at"`
 	// Last updated time
-	UpdatedAt time.Time `yaml:"updated_at" json:"updated_at"`
+	UpdatedAt time.Time `yaml:"updated_at"          json:"updated_at"`
 	// Deletion time
-	DeletedAt gorm.DeletedAt `yaml:"deleted_at" json:"deleted_at" gorm:"index"`
+	DeletedAt gorm.DeletedAt `yaml:"deleted_at"          json:"deleted_at"          gorm:"index"`
 }
 
 // RetrieverEngines represents the retriever engines for a tenant

internal/types/user.go

@@ -9,19 +9,19 @@ import (
 // User represents a user in the system
 type User struct {
 	// Unique identifier of the user
-	ID string `json:"id" gorm:"type:varchar(36);primaryKey"`
+	ID string `json:"id"         gorm:"type:varchar(36);primaryKey"`
 	// Username of the user
-	Username string `json:"username" gorm:"type:varchar(100);uniqueIndex;not null"`
+	Username string `json:"username"   gorm:"type:varchar(100);uniqueIndex;not null"`
 	// Email address of the user
-	Email string `json:"email" gorm:"type:varchar(255);uniqueIndex;not null"`
+	Email string `json:"email"      gorm:"type:varchar(255);uniqueIndex;not null"`
 	// Hashed password of the user
-	PasswordHash string `json:"-" gorm:"type:varchar(255);not null"`
+	PasswordHash string `json:"-"          gorm:"type:varchar(255);not null"`
 	// Avatar URL of the user
-	Avatar string `json:"avatar" gorm:"type:varchar(500)"`
+	Avatar string `json:"avatar"     gorm:"type:varchar(500)"`
 	// Tenant ID that the user belongs to
-	TenantID uint64 `json:"tenant_id" gorm:"index"`
+	TenantID uint64 `json:"tenant_id"  gorm:"index"`
 	// Whether the user is active
-	IsActive bool `json:"is_active" gorm:"default:true"`
+	IsActive bool `json:"is_active"  gorm:"default:true"`
 	// Creation time of the user
 	CreatedAt time.Time `json:"created_at"`
 	// Last updated time of the user
@@ -36,11 +36,11 @@ type User struct {
 // AuthToken represents an authentication token
 type AuthToken struct {
 	// Unique identifier of the token
-	ID string `json:"id" gorm:"type:varchar(36);primaryKey"`
+	ID string `json:"id"         gorm:"type:varchar(36);primaryKey"`
 	// User ID that owns this token
-	UserID string `json:"user_id" gorm:"type:varchar(36);index;not null"`
+	UserID string `json:"user_id"    gorm:"type:varchar(36);index;not null"`
 	// Token value (JWT or other format)
-	Token string `json:"token" gorm:"type:text;not null"`
+	Token string `json:"token"      gorm:"type:text;not null"`
 	// Token type (access_token, refresh_token)
 	TokenType string `json:"token_type" gorm:"type:varchar(50);not null"`
 	// Token expiration time
@@ -58,14 +58,14 @@ type AuthToken struct {
 
 // LoginRequest represents a login request
 type LoginRequest struct {
-	Email    string `json:"email" binding:"required,email"`
+	Email    string `json:"email"    binding:"required,email"`
 	Password string `json:"password" binding:"required,min=6"`
 }
 
 // RegisterRequest represents a registration request
 type RegisterRequest struct {
 	Username string `json:"username" binding:"required,min=3,max=50"`
-	Email    string `json:"email" binding:"required,email"`
+	Email    string `json:"email"    binding:"required,email"`
 	Password string `json:"password" binding:"required,min=6"`
 }