Files
Enterprise-Knowledge-Base/internal/handler/session/qa.go
T
wizardchen 4eed96f901 feat: enhance multimodal image processing and session management
- Updated configuration to support three tasks in the assistant's prompt: rewriting questions, classifying intent for knowledge base retrieval, and analyzing attached images.
- Implemented backend functionality to update image descriptions in user messages, ensuring that image context is preserved across conversation history.
- Modified session handling to return complete session data after updates, improving the accuracy of session information provided to users.
- Enhanced the chat pipeline to include detailed image descriptions and manage image captions effectively, enriching user interactions with visual content.

These improvements significantly enhance the application's multimodal capabilities, providing a more robust and user-friendly experience when handling image-based queries.
2026-03-12 13:17:47 +08:00

690 lines
26 KiB
Go

package session
import (
"context"
"encoding/json"
"fmt"
"net/http"
"runtime"
"time"
"github.com/Tencent/WeKnora/internal/errors"
"github.com/Tencent/WeKnora/internal/event"
"github.com/Tencent/WeKnora/internal/logger"
"github.com/Tencent/WeKnora/internal/types"
secutils "github.com/Tencent/WeKnora/internal/utils"
"github.com/gin-gonic/gin"
"github.com/google/uuid"
)
// qaRequestContext holds all the common data needed for QA requests
type qaRequestContext struct {
ctx context.Context
c *gin.Context
sessionID string
requestID string
query string
session *types.Session
customAgent *types.CustomAgent
assistantMessage *types.Message
knowledgeBaseIDs []string
knowledgeIDs []string
summaryModelID string
webSearchEnabled bool
enableMemory bool // Whether memory feature is enabled
mentionedItems types.MentionedItems
effectiveTenantID uint64 // when using shared agent, tenant ID for model/KB/MCP resolution; 0 = use context tenant
images []ImageAttachment // Uploaded images with analysis text
userMessageID string // Created user message ID (populated after createUserMessage)
}
// parseQARequest parses and validates a QA request, returns the request context
func (h *Handler) parseQARequest(c *gin.Context, logPrefix string) (*qaRequestContext, *CreateKnowledgeQARequest, error) {
ctx := logger.CloneContext(c.Request.Context())
logger.Infof(ctx, "[%s] Start processing request", logPrefix)
// Get session ID from URL parameter
sessionID := secutils.SanitizeForLog(c.Param("session_id"))
if sessionID == "" {
logger.Error(ctx, "Session ID is empty")
return nil, nil, errors.NewBadRequestError(errors.ErrInvalidSessionID.Error())
}
// Parse request body
var request CreateKnowledgeQARequest
if err := c.ShouldBindJSON(&request); err != nil {
logger.Error(ctx, "Failed to parse request data", err)
return nil, nil, errors.NewBadRequestError(err.Error())
}
// Validate query content
if request.Query == "" {
logger.Error(ctx, "Query content is empty")
return nil, nil, errors.NewBadRequestError("Query content cannot be empty")
}
// Log request details
if requestJSON, err := json.Marshal(request); err == nil {
logger.Infof(ctx, "[%s] Request: session_id=%s, request=%s",
logPrefix, sessionID, secutils.SanitizeForLog(secutils.CompactImageDataURLForLog(string(requestJSON))))
}
// Get session
session, err := h.sessionService.GetSession(ctx, sessionID)
if err != nil {
logger.Errorf(ctx, "Failed to get session, session ID: %s, error: %v", sessionID, err)
return nil, nil, errors.NewNotFoundError("Session not found")
}
// Get custom agent if agent_id is provided. Backend resolves shared agent from share relation (no client-provided tenant).
var customAgent *types.CustomAgent
var effectiveTenantID uint64
if request.AgentID != "" {
logger.Infof(ctx, "Resolving agent, agent ID: %s", secutils.SanitizeForLog(request.AgentID))
userIDVal, _ := c.Get(types.UserIDContextKey.String())
currentTenantID := c.GetUint64(types.TenantIDContextKey.String())
if h.agentShareService != nil && userIDVal != nil && currentTenantID != 0 {
userID, _ := userIDVal.(string)
agent, err := h.agentShareService.GetSharedAgentForUser(ctx, userID, currentTenantID, request.AgentID)
if err == nil && agent != nil {
effectiveTenantID = agent.TenantID
customAgent = agent
logger.Infof(ctx, "Using shared agent: ID=%s, Name=%s, effectiveTenantID=%d (retrieval scope)",
customAgent.ID, customAgent.Name, effectiveTenantID)
}
}
if customAgent == nil {
agent, err := h.customAgentService.GetAgentByID(ctx, request.AgentID)
if err == nil {
customAgent = agent
logger.Infof(ctx, "Using own agent: ID=%s, Name=%s, AgentMode=%s",
customAgent.ID, customAgent.Name, customAgent.Config.AgentMode)
} else {
logger.Warnf(ctx, "Failed to get custom agent, agent ID: %s, error: %v, using default config",
secutils.SanitizeForLog(request.AgentID), err)
}
} else {
logger.Infof(ctx, "Using custom agent: ID=%s, Name=%s, IsBuiltin=%v, AgentMode=%s, effectiveTenantID=%d",
customAgent.ID, customAgent.Name, customAgent.IsBuiltin, customAgent.Config.AgentMode, effectiveTenantID)
}
}
// Merge @mentioned items into knowledge_base_ids and knowledge_ids so that
// retrieval (quick-answer and agent mode) uses the same targets the user @mentioned.
// This fixes the case where user only @mentions a (shared) KB in the input but
// does not select it in the sidebar — without this merge, retrieval would not search those KBs.
kbIDs := make([]string, 0, len(request.KnowledgeBaseIDs)+len(request.MentionedItems))
kbIDSet := make(map[string]bool)
for _, id := range request.KnowledgeBaseIDs {
if id != "" && !kbIDSet[id] {
kbIDs = append(kbIDs, id)
kbIDSet[id] = true
}
}
knowledgeIDs := make([]string, 0, len(request.KnowledgeIds)+len(request.MentionedItems))
knowledgeIDSet := make(map[string]bool)
for _, id := range request.KnowledgeIds {
if id != "" && !knowledgeIDSet[id] {
knowledgeIDs = append(knowledgeIDs, id)
knowledgeIDSet[id] = true
}
}
for _, item := range request.MentionedItems {
if item.ID == "" {
continue
}
switch item.Type {
case "kb":
if !kbIDSet[item.ID] {
kbIDs = append(kbIDs, item.ID)
kbIDSet[item.ID] = true
}
case "file":
if !knowledgeIDSet[item.ID] {
knowledgeIDs = append(knowledgeIDs, item.ID)
knowledgeIDSet[item.ID] = true
}
}
}
// Log merge results for debugging
logger.Infof(ctx, "[%s] @mention merge: request.KnowledgeBaseIDs=%v, request.MentionedItems=%d, merged kbIDs=%v, merged knowledgeIDs=%v",
logPrefix, request.KnowledgeBaseIDs, len(request.MentionedItems), kbIDs, knowledgeIDs)
// Process inline base64 images: decode and save to storage.
// VLM analysis for RAG paths is deferred to the pipeline rewrite step.
// For pure chat paths with non-vision models, VLM analysis runs here as fallback.
if len(request.Images) > 0 {
if customAgent == nil || !customAgent.Config.ImageUploadEnabled {
logger.Warnf(ctx, "[%s] Image upload is not enabled for this agent, rejecting %d images", logPrefix, len(request.Images))
return nil, nil, errors.NewBadRequestError("Image upload is not enabled for this agent")
}
tenantID := c.GetUint64(types.TenantIDContextKey.String())
agentStorageProvider := customAgent.Config.ImageStorageProvider
if err := h.saveImageAttachments(ctx, request.Images, tenantID, agentStorageProvider); err != nil {
logger.Errorf(ctx, "[%s] Failed to save images: %v", logPrefix, err)
return nil, nil, errors.NewBadRequestError(fmt.Sprintf("Image save failed: %v", err))
}
// VLM analysis is always deferred to after SSE stream is up:
// - Agent mode: runs in async execution flow with tool_call/tool_result events
// - Normal RAG mode: runs in the pipeline rewrite step with progress events
// - Normal pure-chat mode: runs in the async goroutine with progress events
}
// Build request context
reqCtx := &qaRequestContext{
ctx: ctx,
c: c,
sessionID: sessionID,
requestID: secutils.SanitizeForLog(c.GetString(types.RequestIDContextKey.String())),
query: secutils.SanitizeForLog(request.Query),
session: session,
customAgent: customAgent,
assistantMessage: &types.Message{
SessionID: sessionID,
Role: "assistant",
RequestID: c.GetString(types.RequestIDContextKey.String()),
IsCompleted: false,
},
knowledgeBaseIDs: secutils.SanitizeForLogArray(kbIDs),
knowledgeIDs: secutils.SanitizeForLogArray(knowledgeIDs),
summaryModelID: secutils.SanitizeForLog(request.SummaryModelID),
webSearchEnabled: request.WebSearchEnabled,
enableMemory: request.EnableMemory,
mentionedItems: convertMentionedItems(request.MentionedItems),
effectiveTenantID: effectiveTenantID,
images: request.Images,
}
return reqCtx, &request, nil
}
// sseStreamContext holds the context for SSE streaming
type sseStreamContext struct {
eventBus *event.EventBus
asyncCtx context.Context
cancel context.CancelFunc
assistantMessage *types.Message
}
// setupSSEStream sets up the SSE streaming context
func (h *Handler) setupSSEStream(reqCtx *qaRequestContext, generateTitle bool) *sseStreamContext {
// Set SSE headers
setSSEHeaders(reqCtx.c)
// Write initial agent_query event
h.writeAgentQueryEvent(reqCtx.ctx, reqCtx.sessionID, reqCtx.assistantMessage.ID)
// Base context for async work: when using shared agent, use source tenant for model/KB/MCP resolution
baseCtx := reqCtx.ctx
if reqCtx.effectiveTenantID != 0 && h.tenantService != nil {
if tenant, err := h.tenantService.GetTenantByID(reqCtx.ctx, reqCtx.effectiveTenantID); err == nil && tenant != nil {
baseCtx = context.WithValue(context.WithValue(reqCtx.ctx, types.TenantIDContextKey, reqCtx.effectiveTenantID), types.TenantInfoContextKey, tenant)
logger.Infof(reqCtx.ctx, "Using effective tenant %d for shared agent (model/KB/MCP)", reqCtx.effectiveTenantID)
}
}
// Create EventBus and cancellable context
eventBus := event.NewEventBus()
asyncCtx, cancel := context.WithCancel(logger.CloneContext(baseCtx))
streamCtx := &sseStreamContext{
eventBus: eventBus,
asyncCtx: asyncCtx,
cancel: cancel,
assistantMessage: reqCtx.assistantMessage,
}
// Setup stop event handler
h.setupStopEventHandler(eventBus, reqCtx.sessionID, reqCtx.session.TenantID, reqCtx.assistantMessage, cancel)
// Setup stream handler
h.setupStreamHandler(asyncCtx, reqCtx.sessionID, reqCtx.assistantMessage.ID,
reqCtx.requestID, reqCtx.assistantMessage, eventBus)
// Generate title if needed
if generateTitle && reqCtx.session.Title == "" {
// Use the same model as the conversation for title generation
modelID := ""
if reqCtx.customAgent != nil && reqCtx.customAgent.Config.ModelID != "" {
modelID = reqCtx.customAgent.Config.ModelID
}
logger.Infof(reqCtx.ctx, "Session has no title, starting async title generation, session ID: %s, model: %s", reqCtx.sessionID, modelID)
h.sessionService.GenerateTitleAsync(asyncCtx, reqCtx.session, reqCtx.query, modelID, eventBus)
}
return streamCtx
}
// SearchKnowledge godoc
// @Summary 知识搜索
// @Description 在知识库中搜索(不使用LLM总结)
// @Tags 问答
// @Accept json
// @Produce json
// @Param request body SearchKnowledgeRequest true "搜索请求"
// @Success 200 {object} map[string]interface{} "搜索结果"
// @Failure 400 {object} errors.AppError "请求参数错误"
// @Security Bearer
// @Security ApiKeyAuth
// @Router /sessions/search [post]
func (h *Handler) SearchKnowledge(c *gin.Context) {
ctx := logger.CloneContext(c.Request.Context())
logger.Info(ctx, "Start processing knowledge search request")
// Parse request body
var request SearchKnowledgeRequest
if err := c.ShouldBindJSON(&request); err != nil {
logger.Error(ctx, "Failed to parse request data", err)
c.Error(errors.NewBadRequestError(err.Error()))
return
}
// Validate request parameters
if request.Query == "" {
logger.Error(ctx, "Query content is empty")
c.Error(errors.NewBadRequestError("Query content cannot be empty"))
return
}
// Merge single knowledge_base_id into knowledge_base_ids for backward compatibility
knowledgeBaseIDs := request.KnowledgeBaseIDs
if request.KnowledgeBaseID != "" {
// Check if it's already in the list to avoid duplicates
found := false
for _, id := range knowledgeBaseIDs {
if id == request.KnowledgeBaseID {
found = true
break
}
}
if !found {
knowledgeBaseIDs = append(knowledgeBaseIDs, request.KnowledgeBaseID)
}
}
if len(knowledgeBaseIDs) == 0 && len(request.KnowledgeIDs) == 0 {
logger.Error(ctx, "No knowledge base IDs or knowledge IDs provided")
c.Error(errors.NewBadRequestError("At least one knowledge_base_id, knowledge_base_ids or knowledge_ids must be provided"))
return
}
logger.Infof(
ctx,
"Knowledge search request, knowledge base IDs: %v, knowledge IDs: %v, query: %s",
secutils.SanitizeForLogArray(knowledgeBaseIDs),
secutils.SanitizeForLogArray(request.KnowledgeIDs),
secutils.SanitizeForLog(request.Query),
)
// Directly call knowledge retrieval service without LLM summarization
searchResults, err := h.sessionService.SearchKnowledge(ctx, knowledgeBaseIDs, request.KnowledgeIDs, request.Query)
if err != nil {
logger.ErrorWithFields(ctx, err, nil)
c.Error(errors.NewInternalServerError(err.Error()))
return
}
logger.Infof(ctx, "Knowledge search completed, found %d results", len(searchResults))
c.JSON(http.StatusOK, gin.H{
"success": true,
"data": searchResults,
})
}
// KnowledgeQA godoc
// @Summary 知识问答
// @Description 基于知识库的问答(使用LLM总结),支持SSE流式响应
// @Tags 问答
// @Accept json
// @Produce text/event-stream
// @Param session_id path string true "会话ID"
// @Param request body CreateKnowledgeQARequest true "问答请求"
// @Success 200 {object} map[string]interface{} "问答结果(SSE流)"
// @Failure 400 {object} errors.AppError "请求参数错误"
// @Security Bearer
// @Security ApiKeyAuth
// @Router /sessions/{session_id}/knowledge-qa [post]
func (h *Handler) KnowledgeQA(c *gin.Context) {
// Parse and validate request
reqCtx, request, err := h.parseQARequest(c, "KnowledgeQA")
if err != nil {
c.Error(err)
return
}
// Execute normal mode QA, generate title unless disabled
h.executeNormalModeQA(reqCtx, !request.DisableTitle)
}
// AgentQA godoc
// @Summary Agent问答
// @Description 基于Agent的智能问答,支持多轮对话和SSE流式响应
// @Tags 问答
// @Accept json
// @Produce text/event-stream
// @Param session_id path string true "会话ID"
// @Param request body CreateKnowledgeQARequest true "问答请求"
// @Success 200 {object} map[string]interface{} "问答结果(SSE流)"
// @Failure 400 {object} errors.AppError "请求参数错误"
// @Security Bearer
// @Security ApiKeyAuth
// @Router /sessions/{session_id}/agent-qa [post]
func (h *Handler) AgentQA(c *gin.Context) {
// Parse and validate request
reqCtx, request, err := h.parseQARequest(c, "AgentQA")
if err != nil {
c.Error(err)
return
}
// Determine if agent mode should be enabled
// Priority: customAgent.IsAgentMode() > request.AgentEnabled
agentModeEnabled := request.AgentEnabled
if reqCtx.customAgent != nil {
agentModeEnabled = reqCtx.customAgent.IsAgentMode()
logger.Infof(reqCtx.ctx, "Agent mode determined by custom agent: %v (config.agent_mode=%s)",
agentModeEnabled, reqCtx.customAgent.Config.AgentMode)
}
// Route to appropriate handler based on agent mode
if agentModeEnabled {
h.executeAgentModeQA(reqCtx)
} else {
logger.Infof(reqCtx.ctx, "Agent mode disabled, delegating to normal mode for session: %s", reqCtx.sessionID)
// Knowledge bases should be specified in request or from custom agent
h.executeNormalModeQA(reqCtx, false)
}
}
// executeNormalModeQA executes the normal (KnowledgeQA) mode
func (h *Handler) executeNormalModeQA(reqCtx *qaRequestContext, generateTitle bool) {
ctx := reqCtx.ctx
sessionID := reqCtx.sessionID
// Create user message
userMsg, err := h.createUserMessage(ctx, sessionID, reqCtx.query, reqCtx.requestID, reqCtx.mentionedItems, convertImageAttachments(reqCtx.images))
if err != nil {
reqCtx.c.Error(errors.NewInternalServerError(err.Error()))
return
}
reqCtx.userMessageID = userMsg.ID
// Create assistant message
if _, err := h.createAssistantMessage(ctx, reqCtx.assistantMessage); err != nil {
reqCtx.c.Error(errors.NewInternalServerError(err.Error()))
return
}
logger.Infof(ctx, "Using knowledge bases: %v", reqCtx.knowledgeBaseIDs)
// Setup SSE stream
streamCtx := h.setupSSEStream(reqCtx, generateTitle)
// Setup completion handler for normal mode
// Note: Thinking content is now embedded in answer stream with <think> tags
// by chat_completion_stream.go, so we don't need separate thinking event handling
var completionHandled bool // Prevent duplicate completion handling
streamCtx.eventBus.On(event.EventAgentFinalAnswer, func(ctx context.Context, evt event.Event) error {
data, ok := evt.Data.(event.AgentFinalAnswerData)
if !ok {
return nil
}
streamCtx.assistantMessage.Content += data.Content
if data.IsFallback {
streamCtx.assistantMessage.IsFallback = true
}
if data.Done {
// Prevent duplicate completion handling
if completionHandled {
return nil
}
completionHandled = true
logger.Infof(streamCtx.asyncCtx, "Knowledge QA service completed for session: %s", sessionID)
// Content already contains <think>...</think> tags from chat_completion_stream.go
// Use session's tenant for message update (asyncCtx may have effectiveTenantID when using shared agent)
updateCtx := context.WithValue(streamCtx.asyncCtx, types.TenantIDContextKey, reqCtx.session.TenantID)
h.completeAssistantMessage(updateCtx, streamCtx.assistantMessage, reqCtx.query)
// Emit EventAgentComplete - this will trigger handleComplete which sends the SSE complete event
// Note: Don't cancel context here, let the SSE handler close naturally after receiving the complete event
streamCtx.eventBus.Emit(streamCtx.asyncCtx, event.Event{
Type: event.EventAgentComplete,
SessionID: sessionID,
Data: event.AgentCompleteData{FinalAnswer: streamCtx.assistantMessage.Content},
})
}
return nil
})
// Execute KnowledgeQA asynchronously
go func() {
defer func() {
if r := recover(); r != nil {
buf := make([]byte, 10240)
runtime.Stack(buf, true)
logger.ErrorWithFields(streamCtx.asyncCtx,
errors.NewInternalServerError(fmt.Sprintf("Knowledge QA service panicked: %v\n%s", r, string(buf))), nil)
}
}()
// For pure-chat path (no KB, no web search), VLM analysis isn't handled by the
// rewrite pipeline step, so run it here with progress events.
// RAG paths (with KB/web search, including agent-resolved KBs) defer VLM analysis
// to the rewrite step to avoid duplicate progress events.
hasRequestKBs := len(reqCtx.knowledgeBaseIDs) > 0 || len(reqCtx.knowledgeIDs) > 0
agentWillResolveKBs := false
if !hasRequestKBs && reqCtx.customAgent != nil && !reqCtx.customAgent.Config.RetrieveKBOnlyWhenMentioned {
mode := reqCtx.customAgent.Config.KBSelectionMode
switch mode {
case "all":
agentWillResolveKBs = true
case "selected", "":
// "" keeps backward-compatible behavior (same as selected).
agentWillResolveKBs = len(reqCtx.customAgent.Config.KnowledgeBases) > 0
case "none":
agentWillResolveKBs = false
default:
agentWillResolveKBs = len(reqCtx.customAgent.Config.KnowledgeBases) > 0
}
}
isPureChatPath := !hasRequestKBs && !agentWillResolveKBs && !reqCtx.webSearchEnabled
if isPureChatPath && len(reqCtx.images) > 0 &&
reqCtx.customAgent != nil && reqCtx.customAgent.Config.VLMModelID != "" {
toolCallID := uuid.New().String()
streamCtx.eventBus.Emit(streamCtx.asyncCtx, event.Event{
Type: event.EventAgentToolCall,
SessionID: sessionID,
Data: event.AgentToolCallData{
ToolCallID: toolCallID,
ToolName: "image_analysis",
},
})
vlmStart := time.Now()
h.analyzeImageAttachments(streamCtx.asyncCtx, reqCtx.images,
reqCtx.customAgent.Config.VLMModelID, reqCtx.query)
streamCtx.eventBus.Emit(streamCtx.asyncCtx, event.Event{
Type: event.EventAgentToolResult,
SessionID: sessionID,
Data: event.AgentToolResultData{
ToolCallID: toolCallID,
ToolName: "image_analysis",
Output: "已分析图片内容",
Success: true,
Duration: time.Since(vlmStart).Milliseconds(),
},
})
}
imageURLs, imageDescription := extractImageURLsAndOCRText(reqCtx.images)
err := h.sessionService.KnowledgeQA(
streamCtx.asyncCtx,
reqCtx.session,
reqCtx.query,
reqCtx.knowledgeBaseIDs,
reqCtx.knowledgeIDs,
reqCtx.assistantMessage.ID,
reqCtx.summaryModelID,
reqCtx.webSearchEnabled,
streamCtx.eventBus,
reqCtx.customAgent,
reqCtx.enableMemory,
imageURLs, imageDescription,
reqCtx.userMessageID,
)
if err != nil {
logger.ErrorWithFields(streamCtx.asyncCtx, err, nil)
streamCtx.eventBus.Emit(streamCtx.asyncCtx, event.Event{
Type: event.EventError,
SessionID: sessionID,
Data: event.ErrorData{
Error: err.Error(),
Stage: "knowledge_qa_execution",
SessionID: sessionID,
},
})
}
}()
// Handle SSE events (blocking)
shouldWaitForTitle := generateTitle && reqCtx.session.Title == ""
h.handleAgentEventsForSSE(ctx, reqCtx.c, sessionID, reqCtx.assistantMessage.ID,
reqCtx.requestID, streamCtx.eventBus, shouldWaitForTitle)
}
// executeAgentModeQA executes the agent mode
func (h *Handler) executeAgentModeQA(reqCtx *qaRequestContext) {
ctx := reqCtx.ctx
sessionID := reqCtx.sessionID
// Emit agent query event
if err := event.Emit(ctx, event.Event{
Type: event.EventAgentQuery,
SessionID: sessionID,
RequestID: reqCtx.requestID,
Data: event.AgentQueryData{
SessionID: sessionID,
Query: reqCtx.query,
RequestID: reqCtx.requestID,
},
}); err != nil {
logger.Errorf(ctx, "Failed to emit agent query event: %v", err)
return
}
// Create user message
userMsg, err := h.createUserMessage(ctx, sessionID, reqCtx.query, reqCtx.requestID, reqCtx.mentionedItems, convertImageAttachments(reqCtx.images))
if err != nil {
reqCtx.c.Error(errors.NewInternalServerError(err.Error()))
return
}
reqCtx.userMessageID = userMsg.ID
// Create assistant message
assistantMessagePtr, err := h.createAssistantMessage(ctx, reqCtx.assistantMessage)
if err != nil {
reqCtx.c.Error(errors.NewInternalServerError(err.Error()))
return
}
reqCtx.assistantMessage = assistantMessagePtr
logger.Infof(ctx, "Calling agent QA service, session ID: %s", sessionID)
// Setup SSE stream (agent mode always generates title)
streamCtx := h.setupSSEStream(reqCtx, true)
// Execute AgentQA asynchronously
go func() {
defer func() {
if r := recover(); r != nil {
buf := make([]byte, 1024)
runtime.Stack(buf, true)
logger.ErrorWithFields(streamCtx.asyncCtx,
errors.NewInternalServerError(fmt.Sprintf("Agent QA service panicked: %v\n%s", r, string(buf))),
map[string]interface{}{"session_id": sessionID})
}
// Use session's tenant for message update (session belongs to session.TenantID; asyncCtx may have effectiveTenantID when using shared agent)
updateCtx := context.WithValue(streamCtx.asyncCtx, types.TenantIDContextKey, reqCtx.session.TenantID)
h.completeAssistantMessage(updateCtx, streamCtx.assistantMessage, reqCtx.query)
logger.Infof(streamCtx.asyncCtx, "Agent QA service completed for session: %s", sessionID)
}()
// Run VLM analysis inside the async flow so SSE stream is already up
// and the user can see progress. Emit tool_call/tool_result events.
if len(reqCtx.images) > 0 && reqCtx.customAgent != nil && reqCtx.customAgent.Config.VLMModelID != "" {
toolCallID := uuid.New().String()
streamCtx.eventBus.Emit(streamCtx.asyncCtx, event.Event{
Type: event.EventAgentToolCall,
SessionID: sessionID,
Data: event.AgentToolCallData{
ToolCallID: toolCallID,
ToolName: "image_analysis",
Iteration: 0,
},
})
vlmStart := time.Now()
h.analyzeImageAttachments(streamCtx.asyncCtx, reqCtx.images,
reqCtx.customAgent.Config.VLMModelID, reqCtx.query)
streamCtx.eventBus.Emit(streamCtx.asyncCtx, event.Event{
Type: event.EventAgentToolResult,
SessionID: sessionID,
Data: event.AgentToolResultData{
ToolCallID: toolCallID,
ToolName: "image_analysis",
Output: "已查看图片内容",
Success: true,
Duration: time.Since(vlmStart).Milliseconds(),
Iteration: 0,
},
})
}
imageURLs, imageDescription := extractImageURLsAndOCRText(reqCtx.images)
err := h.sessionService.AgentQA(
streamCtx.asyncCtx,
reqCtx.session,
reqCtx.query,
reqCtx.assistantMessage.ID,
reqCtx.summaryModelID,
streamCtx.eventBus,
reqCtx.customAgent,
reqCtx.knowledgeBaseIDs,
reqCtx.knowledgeIDs,
imageURLs, imageDescription,
reqCtx.userMessageID,
)
if err != nil {
logger.ErrorWithFields(streamCtx.asyncCtx, err, nil)
streamCtx.eventBus.Emit(streamCtx.asyncCtx, event.Event{
Type: event.EventError,
SessionID: sessionID,
Data: event.ErrorData{
Error: err.Error(),
Stage: "agent_execution",
SessionID: sessionID,
},
})
}
}()
// Handle SSE events (blocking)
h.handleAgentEventsForSSE(ctx, reqCtx.c, sessionID, reqCtx.assistantMessage.ID,
reqCtx.requestID, streamCtx.eventBus, reqCtx.session.Title == "")
}
// completeAssistantMessage marks an assistant message as complete, updates it,
// and asynchronously indexes the Q&A pair into the chat history knowledge base.
func (h *Handler) completeAssistantMessage(ctx context.Context, assistantMessage *types.Message, userQuery string) {
assistantMessage.UpdatedAt = time.Now()
assistantMessage.IsCompleted = true
_ = h.messageService.UpdateMessage(ctx, assistantMessage)
// Asynchronously index the Q&A pair into the chat history knowledge base for vector search.
// Use WithoutCancel so the goroutine survives after the HTTP request context is done.
bgCtx := context.WithoutCancel(ctx)
go h.messageService.IndexMessageToKB(bgCtx, userQuery, assistantMessage.Content, assistantMessage.ID, assistantMessage.SessionID)
}