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https://github.com/Ed1s0nZ/CyberStrikeAI.git
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@@ -0,0 +1,245 @@
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package multiagent
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import (
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"context"
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"fmt"
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"net"
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"net/http"
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"strings"
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"sync"
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"time"
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"cyberstrike-ai/internal/agent"
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"cyberstrike-ai/internal/config"
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"cyberstrike-ai/internal/database"
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"cyberstrike-ai/internal/einomcp"
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"cyberstrike-ai/internal/openai"
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"cyberstrike-ai/internal/project"
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"cyberstrike-ai/internal/reasoning"
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einoopenai "github.com/cloudwego/eino-ext/components/model/openai"
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"github.com/cloudwego/eino/adk"
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"github.com/cloudwego/eino/compose"
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"go.uber.org/zap"
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)
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// einoSingleAgentName 与 ChatModelAgent.Name 一致,供流式事件映射主对话区。
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const einoSingleAgentName = "cyberstrike-eino-single"
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// RunEinoSingleChatModelAgent 使用 Eino adk.NewChatModelAgent + adk.NewRunner.Run(官方 Quick Start 的 Query 同属 Runner API;此处用历史 + 用户消息切片等价于多轮 Query)。
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// 与 RunDeepAgent 共享 runEinoADKAgentLoop 的 SSE 映射与 MCP 桥。
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func RunEinoSingleChatModelAgent(
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ctx context.Context,
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appCfg *config.Config,
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ma *config.MultiAgentConfig,
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ag *agent.Agent,
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db *database.DB,
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logger *zap.Logger,
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conversationID string,
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projectID string,
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userMessage string,
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history []agent.ChatMessage,
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roleTools []string,
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progress func(eventType, message string, data interface{}),
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reasoningClient *reasoning.ClientIntent,
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systemPromptExtra string,
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) (*RunResult, error) {
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if appCfg == nil || ag == nil {
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return nil, fmt.Errorf("eino single: 配置或 Agent 为空")
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}
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if ma == nil {
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return nil, fmt.Errorf("eino single: multi_agent 配置为空")
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}
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runtimeUserMessage := prepareLatestUserMessageForModel(userMessage, appCfg, &ma.EinoMiddleware, conversationID, logger)
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einoLoc, einoSkillMW, einoFSTools, skillsRoot, einoErr := prepareEinoSkills(ctx, appCfg.SkillsDir, ma, logger)
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if einoErr != nil {
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return nil, einoErr
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}
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holder := &einomcp.ConversationHolder{}
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holder.Set(conversationID)
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var mcpIDsMu sync.Mutex
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var mcpIDs []string
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mcpExecBinder := NewMCPExecutionBinder()
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recorder := func(id, toolCallID string) {
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if id == "" {
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return
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}
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mcpExecBinder.Bind(toolCallID, id)
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mcpIDsMu.Lock()
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mcpIDs = append(mcpIDs, id)
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mcpIDsMu.Unlock()
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}
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snapshotMCPIDs := func() []string {
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mcpIDsMu.Lock()
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defer mcpIDsMu.Unlock()
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out := make([]string, len(mcpIDs))
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copy(out, mcpIDs)
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return out
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}
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toolInvokeNotify := einomcp.NewToolInvokeNotifyHolder()
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einoExecBegin, einoExecFinish := newEinoExecuteMonitorCallbacks(ctx, ag, recorder)
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mainDefs := ag.ToolsForRole(roleTools)
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mainTools, err := einomcp.ToolsFromDefinitions(ag, holder, mainDefs, recorder, nil, toolInvokeNotify, einoSingleAgentName)
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if err != nil {
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return nil, err
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}
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mainToolsForCfg, mainOrchestratorPre, singleToolSearchActive, err := prependEinoMiddlewares(ctx, &ma.EinoMiddleware, einoMWMain, mainTools, einoLoc, skillsRoot, conversationID, projectID, logger)
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if err != nil {
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return nil, fmt.Errorf("eino single eino 中间件: %w", err)
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}
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httpClient := &http.Client{
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Timeout: 30 * time.Minute,
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Transport: &http.Transport{
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DialContext: (&net.Dialer{
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Timeout: 300 * time.Second,
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KeepAlive: 300 * time.Second,
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}).DialContext,
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MaxIdleConns: 100,
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MaxIdleConnsPerHost: 10,
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IdleConnTimeout: 90 * time.Second,
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TLSHandshakeTimeout: 30 * time.Second,
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ResponseHeaderTimeout: 60 * time.Minute,
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},
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}
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httpClient = openai.NewEinoHTTPClient(&appCfg.OpenAI, httpClient)
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openai.AttachSummarizationDiagTransport(httpClient, logger)
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baseModelCfg := &einoopenai.ChatModelConfig{
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APIKey: appCfg.OpenAI.APIKey,
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BaseURL: strings.TrimSuffix(appCfg.OpenAI.BaseURL, "/"),
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Model: appCfg.OpenAI.Model,
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HTTPClient: httpClient,
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}
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reasoning.ApplyToEinoChatModelConfig(baseModelCfg, &appCfg.OpenAI, reasoningClient)
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mainModel, err := einoopenai.NewChatModel(ctx, baseModelCfg)
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if err != nil {
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return nil, fmt.Errorf("eino single 模型: %w", err)
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}
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mainSumMw, err := newEinoSummarizationMiddleware(ctx, mainModel, appCfg, &ma.EinoMiddleware, conversationID, db, projectID, logger)
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if err != nil {
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return nil, fmt.Errorf("eino single summarization: %w", err)
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}
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modelFacingTrace := newModelFacingTraceHolder()
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handlers := make([]adk.ChatModelAgentMiddleware, 0, 8)
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if len(mainOrchestratorPre) > 0 {
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handlers = append(handlers, mainOrchestratorPre...)
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}
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if einoSkillMW != nil {
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if einoFSTools && einoLoc != nil {
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fsMw, fsErr := subAgentFilesystemMiddleware(ctx, einoLoc, toolInvokeNotify, einoSingleAgentName, einoExecBegin, einoExecFinish, agentToolTimeoutMinutes(appCfg), agentShellNoOutputTimeoutSeconds(appCfg), nil)
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if fsErr != nil {
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return nil, fmt.Errorf("eino single filesystem 中间件: %w", fsErr)
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}
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handlers = append(handlers, fsMw)
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}
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handlers = append(handlers, einoSkillMW)
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}
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handlers = appendEinoChatModelTailMiddlewares(handlers, einoChatModelTailConfig{
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logger: logger,
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phase: "eino_single",
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summarization: mainSumMw,
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modelName: appCfg.OpenAI.Model,
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maxTotalTokens: appCfg.OpenAI.MaxTotalTokens,
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toolMaxBytes: toolMaxBytesFromMW(&ma.EinoMiddleware),
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conversationID: conversationID,
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trace: modelFacingTrace,
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})
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maxIter := agentMaxIterations(appCfg)
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mainToolsCfg := adk.ToolsConfig{
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ToolsNodeConfig: compose.ToolsNodeConfig{
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Tools: mainToolsForCfg,
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UnknownToolsHandler: einomcp.UnknownToolReminderHandler(),
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ToolCallMiddlewares: []compose.ToolMiddleware{
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localToolRBACMiddleware(),
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hitlToolCallMiddleware(),
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softRecoveryToolMiddleware(),
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},
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},
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EmitInternalEvents: true,
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}
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ins := project.AppendSystemPromptBlock(ag.EinoSingleAgentSystemInstruction(), systemPromptExtra)
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ins = project.AppendVisionImageAnalysisIfReady(ins, appCfg.Vision.Ready())
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ins = injectToolNamesOnlyInstruction(ctx, ins, mainTools, singleToolSearchActive)
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if logger != nil {
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names := collectToolNames(ctx, mainTools)
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mountedNames := collectToolNames(ctx, mainToolsForCfg)
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logger.Info("eino tool-name injection",
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zap.String("scope", "eino_single"),
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zap.Int("tool_names", len(names)),
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zap.Int("mounted_tool_names", len(mountedNames)),
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zap.Bool("tool_search_middleware", singleToolSearchActive),
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)
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}
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chatCfg := &adk.ChatModelAgentConfig{
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Name: einoSingleAgentName,
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Description: "Eino ADK ChatModelAgent with MCP tools for authorized security testing.",
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Instruction: ins,
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GenModelInput: literalInstructionGenModelInput,
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Model: mainModel,
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ToolsConfig: mainToolsCfg,
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MaxIterations: maxIter,
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Handlers: handlers,
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}
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outKey, _ := deepExtrasFromConfig(ma)
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if outKey != "" {
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chatCfg.OutputKey = outKey
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}
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chatAgent, err := adk.NewChatModelAgent(ctx, chatCfg)
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if err != nil {
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return nil, fmt.Errorf("eino single NewChatModelAgent: %w", err)
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}
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baseMsgs := historyToMessages(history, appCfg, &ma.EinoMiddleware)
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baseMsgs = appendUserMessageIfNeeded(baseMsgs, runtimeUserMessage)
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streamsMainAssistant := func(agent string) bool {
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return agent == "" || agent == einoSingleAgentName
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}
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einoRoleTag := func(agent string) string {
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_ = agent
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return "orchestrator"
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}
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return runEinoADKAgentLoop(ctx, &einoADKRunLoopArgs{
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OrchMode: "eino_single",
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OrchestratorName: einoSingleAgentName,
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ConversationID: conversationID,
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Progress: progress,
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Logger: logger,
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SnapshotMCPIDs: snapshotMCPIDs,
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StreamsMainAssistant: streamsMainAssistant,
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EinoRoleTag: einoRoleTag,
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CheckpointDir: ma.EinoMiddleware.CheckpointDir,
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RunRetryMaxAttempts: ma.EinoMiddleware.RunRetryMaxAttempts,
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RunRetryMaxBackoffSec: ma.EinoMiddleware.RunRetryMaxBackoffSec,
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McpIDsMu: &mcpIDsMu,
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McpIDs: &mcpIDs,
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FilesystemMonitorAgent: ag,
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FilesystemMonitorRecord: recorder,
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MCPExecutionBinder: mcpExecBinder,
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ToolInvokeNotify: toolInvokeNotify,
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DA: chatAgent,
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ModelFacingTrace: modelFacingTrace,
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EinoCallbacks: &ma.EinoCallbacks,
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MaxTotalTokens: appCfg.OpenAI.MaxTotalTokens,
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ToolMaxBytes: toolMaxBytesFromMW(&ma.EinoMiddleware),
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ModelName: appCfg.OpenAI.Model,
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EmptyResponseMessage: "(Eino ADK single-agent session completed but no assistant text was captured. Check process details or logs.) " +
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"(Eino ADK 单代理会话已完成,但未捕获到助手文本输出。请查看过程详情或日志。)",
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}, baseMsgs)
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}
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