WeKnora deployment source with the reviewed wiki identity, summary and recovery fixes
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This commit is contained in:
@@ -0,0 +1,647 @@
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package service
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import (
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"context"
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"encoding/json"
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"errors"
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"fmt"
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"github.com/Tencent/WeKnora/internal/agent/tools"
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"github.com/Tencent/WeKnora/internal/event"
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"github.com/Tencent/WeKnora/internal/logger"
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"github.com/Tencent/WeKnora/internal/models/chat"
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"github.com/Tencent/WeKnora/internal/models/rerank"
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"github.com/Tencent/WeKnora/internal/types"
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)
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// AgentQA performs agent-based question answering with conversation history and streaming support
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// customAgent is optional - if provided, uses custom agent configuration instead of tenant defaults
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// summaryModelID is optional - if provided, overrides the model from customAgent config
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func (s *sessionService) AgentQA(
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ctx context.Context,
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req *types.QARequest,
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eventBus *event.EventBus,
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) error {
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sessionID := req.Session.ID
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// Propagate the session ID so stateful sandbox backends (CubeSandbox) can
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// bind script execution to a per-session MicroVM instance.
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ctx = types.WithSessionID(ctx, sessionID)
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sessionJSON, err := json.Marshal(req.Session)
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if err != nil {
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logger.Errorf(ctx, "Failed to marshal session, session ID: %s, error: %v", sessionID, err)
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return fmt.Errorf("failed to marshal session: %w", err)
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}
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// customAgent is required for AgentQA (handler has already done permission check for shared agent)
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if req.CustomAgent == nil {
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logger.Warnf(ctx, "Custom agent not provided for session: %s", sessionID)
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return errors.New("custom agent configuration is required for agent QA")
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}
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ctx, err = s.prepareQAAgentExecution(ctx, req)
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if err != nil {
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return err
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}
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// Resolve retrieval tenant using shared helper
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agentTenantID := s.resolveRetrievalTenantID(ctx, req)
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logger.Infof(ctx, "Start agent-based question answering, session ID: %s, agent tenant ID: %d, query: %s, session: %s",
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sessionID, agentTenantID, req.Query, string(sessionJSON))
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var tenantInfo *types.Tenant
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if v := ctx.Value(types.TenantInfoContextKey); v != nil {
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tenantInfo, _ = v.(*types.Tenant)
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}
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// When agent belongs to another tenant (shared agent), use agent's tenant for KB/model scope; load tenantInfo if needed
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if tenantInfo == nil || tenantInfo.ID != agentTenantID {
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if s.tenantService != nil {
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if agentTenant, err := s.tenantService.GetTenantByID(ctx, agentTenantID); err == nil && agentTenant != nil {
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tenantInfo = agentTenant
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logger.Infof(ctx, "Using agent tenant info for retrieval scope, tenant ID: %d", agentTenantID)
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}
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}
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}
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if tenantInfo == nil {
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logger.Warnf(ctx, "Tenant info not available for agent tenant %d, proceeding with defaults", agentTenantID)
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tenantInfo = &types.Tenant{ID: agentTenantID}
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}
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// Ensure defaults are set
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req.CustomAgent.EnsureDefaults()
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// Build AgentConfig from custom agent and tenant info
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agentConfig, err := s.buildAgentConfig(ctx, req, tenantInfo, agentTenantID)
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if err != nil {
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return err
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}
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// Set VLM model ID for tool result image analysis (runtime-only field)
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if req.CustomAgent != nil && req.CustomAgent.Config.VLMModelID != "" {
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agentConfig.VLMModelID = req.CustomAgent.Config.VLMModelID
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}
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// Resolve model ID using shared helper (AgentQA requires a model, so error if not found)
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effectiveModelID, err := s.resolveChatModelID(ctx, req, agentConfig.KnowledgeBases, agentConfig.KnowledgeIDs)
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if err != nil {
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return err
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}
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if effectiveModelID == "" {
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logger.Warnf(ctx, "No summary model configured for custom agent %s", req.CustomAgent.ID)
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return errors.New("summary model (model_id) is not configured in custom agent settings")
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}
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summaryModel, err := s.modelService.GetChatModel(ctx, effectiveModelID)
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if err != nil {
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logger.Warnf(ctx, "Failed to get chat model: %v", err)
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return fmt.Errorf("failed to get chat model: %w", err)
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}
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// The model's own metadata decides two things the agent cannot guess: how
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// much history fits before compaction, and whether images can be passed
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// through. Resolve it once, before the engine is built — the engine sizes
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// its memory consolidator from MaxContextTokens at construction.
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var agentModelSupportsVision bool
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modelContextWindow := 0
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if effectiveModelID != "" {
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if modelInfo, err := s.modelService.GetModelByID(ctx, effectiveModelID); err == nil && modelInfo != nil {
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agentModelSupportsVision = modelInfo.Parameters.SupportsVision
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modelContextWindow = modelInfo.Parameters.ContextWindow
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}
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}
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agentConfig.MaxContextTokens = types.AgentMaxContextTokens(
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agentConfig.MaxContextTokens, modelContextWindow,
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)
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logger.Infof(ctx, "Agent context window: %d tokens (model %s declares %d)",
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agentConfig.MaxContextTokens, effectiveModelID, modelContextWindow)
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// Get rerank model from custom agent config only when knowledge_search can
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// actually run. A disabled KB scope makes all KB tools ineffective, so it
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// must not force users to configure an otherwise-unused rerank model.
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var rerankModel rerank.Reranker
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if agentRequiresRerankModel(req.CustomAgent) {
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// Rerank model is resolved purely from the agent config now.
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// We used to fall back to ConversationConfig.RerankModelID at
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// the tenant level, but that path encouraged "leave rerank
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// blank on the agent and inherit silently" which made debugging
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// retrieval quality a guessing game across tenant settings vs
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// agent settings. Forcing the agent to declare its own rerank
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// model puts the configuration where the user actually edits
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// the agent. If a Wiki-only agent doesn't need reranking,
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// agentRequiresRerankModel() below already lets it pass.
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rerankModelID := req.CustomAgent.Config.RerankModelID
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if rerankModelID == "" {
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logger.Warnf(ctx, "No rerank model configured for custom agent %s, but knowledge_search tool is enabled", req.CustomAgent.ID)
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return errors.New("rerank model is not configured: please set rerank_model_id on the agent")
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}
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rerankModel, err = s.modelService.GetRerankModel(ctx, rerankModelID)
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if err != nil {
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logger.Warnf(ctx, "Failed to get rerank model: %v", err)
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return fmt.Errorf("failed to get rerank model: %w", err)
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}
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} else {
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logger.Infof(ctx, "knowledge_search is unavailable for the effective agent scope, skipping rerank model initialization")
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}
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// Load multi-turn history directly from DB (the single source of truth).
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// AgentSteps on each historical assistant message are expanded into proper
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// assistant_with_tool_calls + tool messages so the model can see what was
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// tried last turn — except final_answer, which is replayed as the trailing
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// canonical assistant message.
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var llmContext []chat.Message
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if agentConfig.MultiTurnEnabled {
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historyTurns := agentConfig.HistoryTurns
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if historyTurns <= 0 {
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historyTurns = 5
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}
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llmContext, err = LoadAgentHistory(ctx, s.messageRepo, sessionID, historyTurns)
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if err != nil {
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logger.Warnf(ctx, "Failed to load agent history from DB: %v, continuing without history", err)
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llmContext = []chat.Message{}
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}
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logger.Infof(ctx, "Loaded %d history messages from DB (turns=%d)", len(llmContext), historyTurns)
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} else {
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logger.Infof(ctx, "Multi-turn disabled for this agent, running without history")
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llmContext = []chat.Message{}
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}
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// Hold the sandbox across this turn so an install that finishes while we
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// are running cannot rebuild the VM between tool calls. Staging below is
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// the first resolve: if the previous turn left a stale mark, that is
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// where the new image is picked up.
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releaseTurn := s.holdSandboxTurn(ctx, sessionID, agentConfig.SandboxConfigID)
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defer releaseTurn()
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// Reconcile all durable session attachments into the session's remote
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// sandbox before the model can request shell or skill execution. The
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// durable storage URL — not the ephemeral sandbox path — remains the
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// source of truth. Gated on the sandbox manager advertising a session
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// filesystem capability so provider-neutral remote wiring stays here.
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var stagedAttachments []stagedSessionAttachment
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stager, ok := s.agentService.(sessionAttachmentStager)
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if !ok {
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return errors.New("agent service does not support session attachment staging")
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}
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// Probe the backend this session's sandbox actually runs on. Gating on the
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// process-wide manager instead could inspect a different backend than the
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// named workspace config selected by this agent.
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inputStore, storeErr := stager.sessionSandboxInputStore(ctx, sessionID, agentConfig.SandboxConfigID)
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if storeErr != nil {
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return fmt.Errorf("resolve sandbox file store for session %s: %w", sessionID, storeErr)
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}
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if inputStore != nil {
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sessionAttachments, loadErr := s.messageRepo.GetSessionAttachments(ctx, sessionID)
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if loadErr != nil {
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return fmt.Errorf("load session attachments for sandbox staging: %w", loadErr)
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}
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stagedAttachments, err = stager.stageSessionAttachments(ctx, sessionID, agentConfig.SandboxConfigID, req.Session.TenantID, sessionAttachments)
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if err != nil {
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return fmt.Errorf("restore session attachments into sandbox: %w", err)
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}
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}
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// Create agent engine with EventBus
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logger.Info(ctx, "Creating agent engine")
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engine, err := s.agentService.CreateAgentEngine(
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ctx,
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agentConfig,
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summaryModel,
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rerankModel,
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eventBus,
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sessionID,
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req.AssistantMessageID,
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)
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if err != nil {
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logger.Errorf(ctx, "Failed to create agent engine: %v", err)
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return err
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}
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// Recall long-term memory for this turn. Like the RAG path this is a
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// no-model read, and an agent may opt out of it entirely.
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memoryCtx := types.ApplyAgentMemoryPreference(ctx, agentConfig.MemoryEnabled)
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if s.memoryService != nil {
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recall := s.memoryService.Recall(memoryCtx, req.Query)
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if recall.Prompt != "" {
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engine.SetMemoryPrompt(recall.Prompt)
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used := types.UsedMemoriesFromItems(recall.Items)
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if err := eventBus.Emit(ctx, event.Event{
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Type: event.EventMemoryRecalled,
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SessionID: sessionID,
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Data: event.MemoryRecalledData{Memories: used},
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}); err != nil {
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logger.Warnf(ctx, "Failed to emit memory recalled event: %v", err)
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}
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logger.Infof(ctx, "Injected %d long-term memories into agent context", len(used))
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}
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}
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agentQuery := req.Query
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var agentImageURLs []string
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if agentModelSupportsVision && len(req.ImageURLs) > 0 {
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agentImageURLs = req.ImageURLs
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logger.Infof(ctx, "Agent model supports vision, passing %d image(s) directly", len(agentImageURLs))
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} else if req.ImageDescription != "" {
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agentQuery = req.Query + "\n\n[用户上传图片内容]\n" + req.ImageDescription
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logger.Infof(ctx, "Agent model does not support vision, appending image description (%d chars)", len(req.ImageDescription))
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}
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if req.QuotedContext != "" {
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agentQuery += "\n\n" + req.QuotedContext
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}
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// Inject attachment content (documents, audio transcripts, etc.) so the agent
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// can see uploaded files. Mirrors the behavior of the KnowledgeQA pipeline
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// (see chat_pipeline/into_chat_message.go).
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if len(req.Attachments) > 0 {
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agentQuery += req.Attachments.BuildPrompt()
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logger.Infof(ctx, "Appended %d attachment(s) to agent query", len(req.Attachments))
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}
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if manifest := buildSandboxAttachmentsPrompt(stagedAttachments); manifest != "" {
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agentQuery += manifest
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logger.Infof(ctx, "Appended %d staged sandbox attachment path(s) to agent query", len(stagedAttachments))
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}
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// Scope envelopes (runtime_context / must_use) are injected per LLM call inside
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// the agent engine only; we intentionally do not persist them on user messages
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// so multi-turn history stays clean and is not skewed by stale @mention scope.
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// Execute agent with streaming (asynchronously)
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// Events will be emitted to EventBus and handled by the Handler layer
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logger.Info(ctx, "Executing agent with streaming")
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if _, err := engine.Execute(ctx, sessionID, req.AssistantMessageID, agentQuery, llmContext, agentImageURLs); err != nil {
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logger.Errorf(ctx, "Agent execution failed: %v", err)
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// Emit error event to the EventBus used by this agent
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eventBus.Emit(ctx, event.Event{
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Type: event.EventError,
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SessionID: sessionID,
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Data: event.ErrorData{
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Error: err.Error(),
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Stage: "agent_execution",
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SessionID: sessionID,
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},
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})
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}
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// Return empty - events will be handled by Handler via EventBus subscription
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return nil
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}
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// buildAgentConfig creates a runtime AgentConfig from the QARequest's custom agent configuration,
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// tenant info, and resolved knowledge bases / search targets.
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func (s *sessionService) buildAgentConfig(
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ctx context.Context,
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req *types.QARequest,
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tenantInfo *types.Tenant,
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agentTenantID uint64,
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) (*types.AgentConfig, error) {
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customAgent := req.CustomAgent
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instructionPrompt, err := ResolveAgentInstructionPrompt(ctx, s.tenantSkillRepo, customAgent)
|
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if err != nil {
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return nil, err
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}
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agentConfig := &types.AgentConfig{
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InstructionSkillPrompt: instructionPrompt,
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MaxIterations: customAgent.Config.MaxIterations,
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Temperature: customAgent.Config.Temperature,
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WebSearchEnabled: customAgent.Config.WebSearchEnabled && req.WebSearchEnabled,
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WebSearchMaxResults: customAgent.Config.WebSearchMaxResults,
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WebSearchProviderID: customAgent.Config.WebSearchProviderID,
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MultiTurnEnabled: customAgent.Config.MultiTurnEnabled,
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HistoryTurns: customAgent.Config.HistoryTurns,
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MemoryEnabled: customAgent.Config.MemoryEnabled,
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MCPSelectionMode: customAgent.Config.MCPSelectionMode,
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MCPServices: customAgent.Config.MCPServices,
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MCPAuthWaitTimeout: customAgent.Config.MCPAuthWaitTimeout,
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Thinking: customAgent.Config.Thinking,
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CitationEnabled: customAgent.Config.CitationEnabled,
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RetrieveKBOnlyWhenMentioned: customAgent.Config.RetrieveKBOnlyWhenMentioned,
|
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LLMCallTimeout: customAgent.Config.LLMCallTimeout,
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MaxCompletionTokens: customAgent.Config.MaxCompletionTokens,
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RetainRetrievalHistory: customAgent.Config.RetainRetrievalHistory,
|
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SharedAgentReadOnly: req.SharedAgentReadOnly,
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}
|
||||
|
||||
// Falls back to global configuration if no specific timeout is set for the agent.
|
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if agentConfig.LLMCallTimeout == 0 && s.cfg.Agent != nil && s.cfg.Agent.LLMCallTimeout > 0 {
|
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agentConfig.LLMCallTimeout = s.cfg.Agent.LLMCallTimeout
|
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}
|
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|
||||
// Configure skills based on CustomAgentConfig
|
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s.configureSkillsFromAgent(ctx, agentConfig, customAgent)
|
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|
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// Then add the skills installed into the sandbox config this run boots.
|
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//
|
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// The workspace is the one on the context rather than the agent's owner,
|
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// because that is where resolveSandboxForExecution reads it; skillsForRun
|
||||
// picks the config the same way the sandbox resolution does.
|
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sandboxTenantID, _ := types.TenantIDFromContext(ctx)
|
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skillConfigID, tenantSkills := skillsForRun(
|
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ctx, s.sandboxPinner, s.sandboxConfigRepo, s.tenantSkillRepo,
|
||||
sandboxTenantID, req.Session.ID, agentConfig.SandboxConfigID,
|
||||
)
|
||||
agentConfig.TenantSkills = tenantSkills
|
||||
if len(tenantSkills) > 0 {
|
||||
// The config named here is the one the skills came from, which is the
|
||||
// pinned one whenever it differs from the agent's - the only case the
|
||||
// line is worth reading.
|
||||
logger.Infof(ctx, "Sandbox config %s offers %d installed skill(s) to this run",
|
||||
skillConfigID, len(tenantSkills))
|
||||
}
|
||||
|
||||
// Resolve knowledge bases using shared helper
|
||||
kbIDs, knowledgeIDs, err := s.resolveKnowledgeBases(ctx, req)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
agentConfig.KnowledgeBases = kbIDs
|
||||
agentConfig.KnowledgeIDs = knowledgeIDs
|
||||
|
||||
// Use custom agent's allowed tools if specified, otherwise use defaults
|
||||
if len(customAgent.Config.AllowedTools) > 0 {
|
||||
agentConfig.AllowedTools = customAgent.Config.AllowedTools
|
||||
} else {
|
||||
agentConfig.AllowedTools = tools.DefaultAllowedTools()
|
||||
}
|
||||
// Apply per-turn @Skill / @MCP scope. Each helper narrows the agent's
|
||||
// whitelist to the mentioned items and records the pinned set used for the
|
||||
// <must_use> hint, keeping all scope logic in one place per resource type.
|
||||
isSharedAgent := req.SharedAgentReadOnly
|
||||
applyPerRequestSkillScope(ctx, agentConfig, customAgent.Config.SkillsSelectionMode, req.SkillNames)
|
||||
applyPerRequestMCPScope(ctx, agentConfig, customAgent.Config.MCPServices, isSharedAgent, req.MCPServiceIDs)
|
||||
|
||||
// Use custom agent's system prompt if specified
|
||||
if customAgent.Config.SystemPrompt != "" {
|
||||
agentConfig.UseCustomSystemPrompt = true
|
||||
agentConfig.SystemPrompt = customAgent.Config.SystemPrompt
|
||||
}
|
||||
|
||||
logger.Infof(ctx, "Custom agent config applied: MaxIterations=%d, Temperature=%.2f, AllowedTools=%v, WebSearchEnabled=%v",
|
||||
agentConfig.MaxIterations, agentConfig.Temperature, agentConfig.AllowedTools, agentConfig.WebSearchEnabled)
|
||||
|
||||
// Set web search max results from tenant config if not set (default: 5)
|
||||
if agentConfig.WebSearchMaxResults == 0 {
|
||||
agentConfig.WebSearchMaxResults = 5
|
||||
if tenantInfo.WebSearchConfig != nil && tenantInfo.WebSearchConfig.MaxResults > 0 {
|
||||
agentConfig.WebSearchMaxResults = tenantInfo.WebSearchConfig.MaxResults
|
||||
}
|
||||
}
|
||||
|
||||
// Resolve web search provider ID: agent-level > tenant default (is_default=true)
|
||||
if agentConfig.WebSearchProviderID == "" {
|
||||
if defaultProvider, err := s.webSearchProviderRepo.GetDefault(ctx, tenantInfo.ID); err == nil && defaultProvider != nil {
|
||||
agentConfig.WebSearchProviderID = defaultProvider.ID
|
||||
}
|
||||
}
|
||||
|
||||
logger.Infof(ctx, "Merged agent config from tenant %d and session %s", tenantInfo.ID, req.Session.ID)
|
||||
|
||||
// Log knowledge bases if present
|
||||
if len(agentConfig.KnowledgeBases) > 0 || len(req.TagScopes) > 0 {
|
||||
if len(agentConfig.KnowledgeBases) > 0 {
|
||||
logger.Infof(ctx, "Agent configured with %d knowledge base(s): %v",
|
||||
len(agentConfig.KnowledgeBases), agentConfig.KnowledgeBases)
|
||||
} else {
|
||||
logger.Infof(ctx, "Agent configured with %d tag-scoped search target(s)", len(req.TagScopes))
|
||||
}
|
||||
} else {
|
||||
logger.Infof(ctx, "No knowledge bases specified for agent, running in pure agent mode")
|
||||
}
|
||||
|
||||
// Build search targets using agent's tenant (handler has validated access for shared agent)
|
||||
searchTargets, err := s.buildSearchTargets(ctx, agentTenantID, agentConfig.KnowledgeBases, agentConfig.KnowledgeIDs, req.TagScopes)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("build search targets: %w", err)
|
||||
}
|
||||
agentConfig.SearchTargets = searchTargets
|
||||
// Document tags are stored in knowledge_tag_relations, so document-KB tag
|
||||
// scopes are resolved to concrete knowledge IDs before retrieval. Preserve
|
||||
// those resolved IDs as this turn's pinned documents as well: otherwise the
|
||||
// Agent tools are correctly constrained behind the scenes, but the model only
|
||||
// sees a bound KB and does not know which documents the user explicitly chose.
|
||||
if len(req.TagScopes) > 0 {
|
||||
agentConfig.KnowledgeIDs = mergeResolvedTagKnowledgeIDs(
|
||||
agentConfig.KnowledgeIDs,
|
||||
searchTargets,
|
||||
req.TagScopes,
|
||||
)
|
||||
}
|
||||
logger.Infof(ctx, "Agent search targets built: %d targets", len(searchTargets))
|
||||
|
||||
// MaxContextTokens is deliberately left unset here. The caller fills it
|
||||
// from the resolved model's declared window, which is not known yet.
|
||||
|
||||
return agentConfig, nil
|
||||
}
|
||||
|
||||
func mergeResolvedTagKnowledgeIDs(
|
||||
existing []string,
|
||||
searchTargets types.SearchTargets,
|
||||
tagScopes []types.TagScope,
|
||||
) []string {
|
||||
tagKBs := make(map[string]bool, len(tagScopes))
|
||||
for _, scope := range tagScopes {
|
||||
if scope.KnowledgeBaseID != "" && len(scope.TagIDs) > 0 {
|
||||
tagKBs[scope.KnowledgeBaseID] = true
|
||||
}
|
||||
}
|
||||
if len(tagKBs) == 0 {
|
||||
return uniqueNonEmptyStrings(existing)
|
||||
}
|
||||
|
||||
merged := append([]string(nil), existing...)
|
||||
for _, target := range searchTargets {
|
||||
if target == nil || !tagKBs[target.KnowledgeBaseID] || target.Type != types.SearchTargetTypeKnowledge {
|
||||
continue
|
||||
}
|
||||
merged = append(merged, target.KnowledgeIDs...)
|
||||
}
|
||||
return uniqueNonEmptyStrings(merged)
|
||||
}
|
||||
|
||||
// applyPerRequestSkillScope records the @Skill mentions for this turn as the
|
||||
// pinned set that drives the <must_use> hint. It deliberately does NOT narrow
|
||||
// the allow-gate: an agent whose prompt requires a skill the user did not
|
||||
// @mention must still be able to read and execute it. Mentioning a skill only
|
||||
// prioritizes it, it never revokes access to the agent's configured set.
|
||||
//
|
||||
// It is a no-op when no skills were mentioned or skills are disabled.
|
||||
func applyPerRequestSkillScope(
|
||||
ctx context.Context,
|
||||
agentConfig *types.AgentConfig,
|
||||
skillsMode string,
|
||||
requested []string,
|
||||
) {
|
||||
if len(requested) == 0 {
|
||||
return
|
||||
}
|
||||
if skillsMode == "none" || skillsMode == "" {
|
||||
logger.Warnf(ctx, "Ignoring @skill mention: agent skills selection is disabled (mode=%s)", skillsMode)
|
||||
return
|
||||
}
|
||||
if !agentConfig.SkillsEnabled {
|
||||
return
|
||||
}
|
||||
// PinnedSkillNames carries only mentioned skills that are currently
|
||||
// allowed, so the <must_use> hint never directs the model at a skill it
|
||||
// cannot load. An empty AllowedSkills means all skills are allowed,
|
||||
// matching Manager.isSkillAllowed, so every mention is pinned in that case.
|
||||
agentConfig.PinnedSkillNames = pinPreservingRequestOrder(requested, agentConfig.AllowedSkills)
|
||||
logger.Infof(ctx, "Applied per-request @skill scope: requested=%v effective=%v pinned=%v",
|
||||
requested, agentConfig.AllowedSkills, agentConfig.PinnedSkillNames)
|
||||
}
|
||||
|
||||
// applyPerRequestMCPScope narrows the agent's MCP services to the @MCP mentions
|
||||
// for this turn and records the pinned set for the <must_use> hint. It is a
|
||||
// no-op when no services were mentioned or MCP selection is disabled.
|
||||
func applyPerRequestMCPScope(
|
||||
ctx context.Context,
|
||||
agentConfig *types.AgentConfig,
|
||||
agentPresetMCPs []string,
|
||||
isSharedAgent bool,
|
||||
requested []string,
|
||||
) {
|
||||
if len(requested) == 0 {
|
||||
return
|
||||
}
|
||||
if agentConfig.MCPSelectionMode == "none" {
|
||||
logger.Warnf(ctx, "Ignoring @MCP mention: agent MCP selection is disabled (mode=none)")
|
||||
return
|
||||
}
|
||||
mentioned := dedupPreservingOrder(requested)
|
||||
effective, mode := resolvePerRequestMCPScope(mentioned, agentPresetMCPs, agentConfig.MCPSelectionMode, isSharedAgent)
|
||||
if len(effective) == 0 {
|
||||
logger.Warnf(ctx, "Ignoring @MCP scope outside agent preset: requested=%v agent=%v shared=%v",
|
||||
requested, agentPresetMCPs, isSharedAgent)
|
||||
return
|
||||
}
|
||||
agentConfig.MCPSelectionMode = mode
|
||||
agentConfig.MCPServices = effective
|
||||
agentConfig.PinnedMCPServiceIDs = intersectPreservingRequestOrder(requested, agentConfig.MCPServices)
|
||||
logger.Infof(ctx, "Applied per-request @MCP scope: requested=%v mode=%s effective=%v",
|
||||
requested, agentConfig.MCPSelectionMode, agentConfig.MCPServices)
|
||||
}
|
||||
|
||||
// resolvePerRequestMCPScope narrows MCP registration for a per-turn @mention.
|
||||
// selectionMode "none" rejects all mentions. Shared agents never register MCP
|
||||
// services outside the agent preset.
|
||||
func resolvePerRequestMCPScope(
|
||||
mentioned, agentMCPs []string,
|
||||
selectionMode string,
|
||||
isSharedAgent bool,
|
||||
) (effective []string, mode string) {
|
||||
if len(mentioned) == 0 {
|
||||
return nil, selectionMode
|
||||
}
|
||||
if isSharedAgent {
|
||||
mentioned = intersectPreservingRequestOrder(mentioned, agentMCPs)
|
||||
if len(mentioned) == 0 {
|
||||
return nil, selectionMode
|
||||
}
|
||||
}
|
||||
switch selectionMode {
|
||||
case "none":
|
||||
return nil, selectionMode
|
||||
case "selected":
|
||||
effective = intersectPreservingRequestOrder(mentioned, agentMCPs)
|
||||
case "all", "":
|
||||
effective = mentioned
|
||||
default:
|
||||
effective = mentioned
|
||||
}
|
||||
if len(effective) == 0 {
|
||||
return nil, selectionMode
|
||||
}
|
||||
return effective, "selected"
|
||||
}
|
||||
|
||||
func intersectPreservingRequestOrder(requested []string, allowed []string) []string {
|
||||
allowedSet := make(map[string]bool, len(allowed))
|
||||
for _, value := range allowed {
|
||||
if value != "" {
|
||||
allowedSet[value] = true
|
||||
}
|
||||
}
|
||||
result := make([]string, 0, len(requested))
|
||||
seen := make(map[string]bool, len(requested))
|
||||
for _, value := range requested {
|
||||
if value == "" || seen[value] || !allowedSet[value] {
|
||||
continue
|
||||
}
|
||||
seen[value] = true
|
||||
result = append(result, value)
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
// pinPreservingRequestOrder returns the requested skills that are allowed,
|
||||
// preserving request order. Unlike intersectPreservingRequestOrder, an empty
|
||||
// allowed list is treated as "all skills allowed" (matching
|
||||
// Manager.isSkillAllowed), so every requested skill is pinned.
|
||||
func pinPreservingRequestOrder(requested []string, allowed []string) []string {
|
||||
allowedAll := len(allowed) == 0
|
||||
allowedSet := make(map[string]bool, len(allowed))
|
||||
for _, value := range allowed {
|
||||
if value != "" {
|
||||
allowedSet[value] = true
|
||||
}
|
||||
}
|
||||
result := make([]string, 0, len(requested))
|
||||
seen := make(map[string]bool, len(requested))
|
||||
for _, value := range requested {
|
||||
if value == "" || seen[value] {
|
||||
continue
|
||||
}
|
||||
if !allowedAll && !allowedSet[value] {
|
||||
continue
|
||||
}
|
||||
seen[value] = true
|
||||
result = append(result, value)
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
func dedupPreservingOrder(values []string) []string {
|
||||
result := make([]string, 0, len(values))
|
||||
seen := make(map[string]bool, len(values))
|
||||
for _, value := range values {
|
||||
if value == "" || seen[value] {
|
||||
continue
|
||||
}
|
||||
seen[value] = true
|
||||
result = append(result, value)
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
// configureSkillsFromAgent turns the agent's skill picker into runtime flags.
|
||||
// The skills themselves come from the sandbox image (TenantSkills), not from
|
||||
// the deployment's skills/preloaded directory — that host copy is not what
|
||||
// execute_skill_script would find inside the sandbox.
|
||||
func (s *sessionService) configureSkillsFromAgent(
|
||||
ctx context.Context,
|
||||
agentConfig *types.AgentConfig,
|
||||
customAgent *types.CustomAgent,
|
||||
) {
|
||||
if customAgent == nil {
|
||||
return
|
||||
}
|
||||
agentConfig.SandboxConfigID = customAgent.Config.SandboxConfigID
|
||||
switch customAgent.Config.SkillsSelectionMode {
|
||||
case "all":
|
||||
agentConfig.SkillsEnabled = true
|
||||
agentConfig.AllowedSkills = nil
|
||||
logger.Infof(ctx, "SkillsSelectionMode=all: using installed sandbox skills")
|
||||
case "selected":
|
||||
if len(customAgent.Config.SelectedSkills) > 0 {
|
||||
agentConfig.SkillsEnabled = true
|
||||
agentConfig.AllowedSkills = customAgent.Config.SelectedSkills
|
||||
logger.Infof(ctx, "SkillsSelectionMode=selected: enabled %d selected skills: %v",
|
||||
len(customAgent.Config.SelectedSkills), customAgent.Config.SelectedSkills)
|
||||
} else {
|
||||
agentConfig.SkillsEnabled = false
|
||||
logger.Infof(ctx, "SkillsSelectionMode=selected but no skills selected: skills disabled")
|
||||
}
|
||||
case "none", "":
|
||||
agentConfig.SkillsEnabled = false
|
||||
logger.Infof(ctx, "SkillsSelectionMode=%s: skills disabled", customAgent.Config.SkillsSelectionMode)
|
||||
default:
|
||||
agentConfig.SkillsEnabled = false
|
||||
logger.Warnf(ctx, "Unknown SkillsSelectionMode=%s: skills disabled", customAgent.Config.SkillsSelectionMode)
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user