Roo-Code/src/core/task/Task.ts

import * as path from "path"
import * as vscode from "vscode"
import os from "os"
import crypto from "crypto"
import EventEmitter from "events"

import { AskIgnoredError } from "./AskIgnoredError"

import { Anthropic } from "@anthropic-ai/sdk"
import OpenAI from "openai"
import debounce from "lodash.debounce"
import delay from "delay"
import pWaitFor from "p-wait-for"
import { serializeError } from "serialize-error"
import { Package } from "../../shared/package"
import { formatToolInvocation } from "../tools/helpers/toolResultFormatting"

import {
	type TaskLike,
	type TaskMetadata,
	type TaskEvents,
	type ProviderSettings,
	type TokenUsage,
	type ToolUsage,
	type ToolName,
	type ContextCondense,
	type ContextTruncation,
	type ClineMessage,
	type ClineSay,
	type ClineAsk,
	type ToolProgressStatus,
	type HistoryItem,
	type CreateTaskOptions,
	type ModelInfo,
	RooCodeEventName,
	TelemetryEventName,
	TaskStatus,
	TodoItem,
	getApiProtocol,
	getModelId,
	isIdleAsk,
	isInteractiveAsk,
	isResumableAsk,
	isNativeProtocol,
	QueuedMessage,
	DEFAULT_CONSECUTIVE_MISTAKE_LIMIT,
	DEFAULT_CHECKPOINT_TIMEOUT_SECONDS,
	MAX_CHECKPOINT_TIMEOUT_SECONDS,
	MIN_CHECKPOINT_TIMEOUT_SECONDS,
	TOOL_PROTOCOL,
} from "@roo-code/types"
import { TelemetryService } from "@roo-code/telemetry"
import { CloudService, BridgeOrchestrator } from "@roo-code/cloud"
import { resolveToolProtocol } from "../../utils/resolveToolProtocol"

// api
import { ApiHandler, ApiHandlerCreateMessageMetadata, buildApiHandler } from "../../api"
import { ApiStream, GroundingSource } from "../../api/transform/stream"
import { maybeRemoveImageBlocks } from "../../api/transform/image-cleaning"

// shared
import { findLastIndex } from "../../shared/array"
import { combineApiRequests } from "../../shared/combineApiRequests"
import { combineCommandSequences } from "../../shared/combineCommandSequences"
import { t } from "../../i18n"
import { ClineApiReqCancelReason, ClineApiReqInfo } from "../../shared/ExtensionMessage"
import { getApiMetrics, hasTokenUsageChanged, hasToolUsageChanged } from "../../shared/getApiMetrics"
import { ClineAskResponse } from "../../shared/WebviewMessage"
import { defaultModeSlug, getModeBySlug, getGroupName } from "../../shared/modes"
import { DiffStrategy, type ToolUse, type ToolParamName, toolParamNames } from "../../shared/tools"
import { EXPERIMENT_IDS, experiments } from "../../shared/experiments"
import { getModelMaxOutputTokens } from "../../shared/api"

// services
import { UrlContentFetcher } from "../../services/browser/UrlContentFetcher"
import { BrowserSession } from "../../services/browser/BrowserSession"
import { McpHub } from "../../services/mcp/McpHub"
import { McpServerManager } from "../../services/mcp/McpServerManager"
import { RepoPerTaskCheckpointService } from "../../services/checkpoints"

// integrations
import { DiffViewProvider } from "../../integrations/editor/DiffViewProvider"
import { findToolName } from "../../integrations/misc/export-markdown"
import { RooTerminalProcess } from "../../integrations/terminal/types"
import { TerminalRegistry } from "../../integrations/terminal/TerminalRegistry"

// utils
import { calculateApiCostAnthropic, calculateApiCostOpenAI } from "../../shared/cost"
import { getWorkspacePath } from "../../utils/path"

// prompts
import { formatResponse } from "../prompts/responses"
import { SYSTEM_PROMPT } from "../prompts/system"
import { buildNativeToolsArray } from "./build-tools"

// core modules
import { ToolRepetitionDetector } from "../tools/ToolRepetitionDetector"
import { restoreTodoListForTask } from "../tools/UpdateTodoListTool"
import { FileContextTracker } from "../context-tracking/FileContextTracker"
import { RooIgnoreController } from "../ignore/RooIgnoreController"
import { RooProtectedController } from "../protect/RooProtectedController"
import { type AssistantMessageContent, presentAssistantMessage } from "../assistant-message"
import { AssistantMessageParser } from "../assistant-message/AssistantMessageParser"
import { NativeToolCallParser } from "../assistant-message/NativeToolCallParser"
import { manageContext, willManageContext } from "../context-management"
import { ClineProvider } from "../webview/ClineProvider"
import { MultiSearchReplaceDiffStrategy } from "../diff/strategies/multi-search-replace"
import { MultiFileSearchReplaceDiffStrategy } from "../diff/strategies/multi-file-search-replace"
import {
	type ApiMessage,
	readApiMessages,
	saveApiMessages,
	readTaskMessages,
	saveTaskMessages,
	taskMetadata,
} from "../task-persistence"
import { getEnvironmentDetails } from "../environment/getEnvironmentDetails"
import { checkContextWindowExceededError } from "../context/context-management/context-error-handling"
import {
	type CheckpointDiffOptions,
	type CheckpointRestoreOptions,
	getCheckpointService,
	checkpointSave,
	checkpointRestore,
	checkpointDiff,
} from "../checkpoints"
import { processUserContentMentions } from "../mentions/processUserContentMentions"
import { getMessagesSinceLastSummary, summarizeConversation, getEffectiveApiHistory } from "../condense"
import { MessageQueueService } from "../message-queue/MessageQueueService"
import { AutoApprovalHandler, checkAutoApproval } from "../auto-approval"
import { MessageManager } from "../message-manager"

const MAX_EXPONENTIAL_BACKOFF_SECONDS = 600 // 10 minutes
const DEFAULT_USAGE_COLLECTION_TIMEOUT_MS = 5000 // 5 seconds
const FORCED_CONTEXT_REDUCTION_PERCENT = 75 // Keep 75% of context (remove 25%) on context window errors
const MAX_CONTEXT_WINDOW_RETRIES = 3 // Maximum retries for context window errors

export interface TaskOptions extends CreateTaskOptions {
	provider: ClineProvider
	apiConfiguration: ProviderSettings
	enableDiff?: boolean
	enableCheckpoints?: boolean
	checkpointTimeout?: number
	enableBridge?: boolean
	fuzzyMatchThreshold?: number
	consecutiveMistakeLimit?: number
	task?: string
	images?: string[]
	historyItem?: HistoryItem
	experiments?: Record<string, boolean>
	startTask?: boolean
	rootTask?: Task
	parentTask?: Task
	taskNumber?: number
	onCreated?: (task: Task) => void
	initialTodos?: TodoItem[]
	workspacePath?: string
	/** Initial status for the task's history item (e.g., "active" for child tasks) */
	initialStatus?: "active" | "delegated" | "completed"
}

export class Task extends EventEmitter<TaskEvents> implements TaskLike {
	readonly taskId: string
	readonly rootTaskId?: string
	readonly parentTaskId?: string
	childTaskId?: string
	pendingNewTaskToolCallId?: string

	readonly instanceId: string
	readonly metadata: TaskMetadata

	todoList?: TodoItem[]

	readonly rootTask: Task | undefined = undefined
	readonly parentTask: Task | undefined = undefined
	readonly taskNumber: number
	readonly workspacePath: string

	/**
	 * The mode associated with this task. Persisted across sessions
	 * to maintain user context when reopening tasks from history.
	 *
	 * ## Lifecycle
	 *
	 * ### For new tasks:
	 * 1. Initially `undefined` during construction
	 * 2. Asynchronously initialized from provider state via `initializeTaskMode()`
	 * 3. Falls back to `defaultModeSlug` if provider state is unavailable
	 *
	 * ### For history items:
	 * 1. Immediately set from `historyItem.mode` during construction
	 * 2. Falls back to `defaultModeSlug` if mode is not stored in history
	 *
	 * ## Important
	 * This property should NOT be accessed directly until `taskModeReady` promise resolves.
	 * Use `getTaskMode()` for async access or `taskMode` getter for sync access after initialization.
	 *
	 * @private
	 * @see {@link getTaskMode} - For safe async access
	 * @see {@link taskMode} - For sync access after initialization
	 * @see {@link waitForModeInitialization} - To ensure initialization is complete
	 */
	private _taskMode: string | undefined

	/**
	 * Promise that resolves when the task mode has been initialized.
	 * This ensures async mode initialization completes before the task is used.
	 *
	 * ## Purpose
	 * - Prevents race conditions when accessing task mode
	 * - Ensures provider state is properly loaded before mode-dependent operations
	 * - Provides a synchronization point for async initialization
	 *
	 * ## Resolution timing
	 * - For history items: Resolves immediately (sync initialization)
	 * - For new tasks: Resolves after provider state is fetched (async initialization)
	 *
	 * @private
	 * @see {@link waitForModeInitialization} - Public method to await this promise
	 */
	private taskModeReady: Promise<void>

	providerRef: WeakRef<ClineProvider>
	private readonly globalStoragePath: string
	abort: boolean = false
	currentRequestAbortController?: AbortController
	skipPrevResponseIdOnce: boolean = false

	// TaskStatus
	idleAsk?: ClineMessage
	resumableAsk?: ClineMessage
	interactiveAsk?: ClineMessage

	didFinishAbortingStream = false
	abandoned = false
	abortReason?: ClineApiReqCancelReason
	isInitialized = false
	isPaused: boolean = false

	// API
	apiConfiguration: ProviderSettings
	api: ApiHandler
	private static lastGlobalApiRequestTime?: number
	private autoApprovalHandler: AutoApprovalHandler

	/**
	 * Reset the global API request timestamp. This should only be used for testing.
	 * @internal
	 */
	static resetGlobalApiRequestTime(): void {
		Task.lastGlobalApiRequestTime = undefined
	}

	toolRepetitionDetector: ToolRepetitionDetector
	rooIgnoreController?: RooIgnoreController
	rooProtectedController?: RooProtectedController
	fileContextTracker: FileContextTracker
	urlContentFetcher: UrlContentFetcher
	terminalProcess?: RooTerminalProcess

	// Computer User
	browserSession: BrowserSession

	// Editing
	diffViewProvider: DiffViewProvider
	diffStrategy?: DiffStrategy
	diffEnabled: boolean = false
	fuzzyMatchThreshold: number
	didEditFile: boolean = false

	// LLM Messages & Chat Messages
	apiConversationHistory: ApiMessage[] = []
	clineMessages: ClineMessage[] = []

	// Ask
	private askResponse?: ClineAskResponse
	private askResponseText?: string
	private askResponseImages?: string[]
	public lastMessageTs?: number

	// Tool Use
	consecutiveMistakeCount: number = 0
	consecutiveMistakeLimit: number
	consecutiveMistakeCountForApplyDiff: Map<string, number> = new Map()
	toolUsage: ToolUsage = {}

	// Checkpoints
	enableCheckpoints: boolean
	checkpointTimeout: number
	checkpointService?: RepoPerTaskCheckpointService
	checkpointServiceInitializing = false

	// Task Bridge
	enableBridge: boolean

	// Message Queue Service
	public readonly messageQueueService: MessageQueueService
	private messageQueueStateChangedHandler: (() => void) | undefined

	// Streaming
	isWaitingForFirstChunk = false
	isStreaming = false
	currentStreamingContentIndex = 0
	currentStreamingDidCheckpoint = false
	assistantMessageContent: AssistantMessageContent[] = []
	presentAssistantMessageLocked = false
	presentAssistantMessageHasPendingUpdates = false
	userMessageContent: (Anthropic.TextBlockParam | Anthropic.ImageBlockParam | Anthropic.ToolResultBlockParam)[] = []
	userMessageContentReady = false
	didRejectTool = false
	didAlreadyUseTool = false
	didToolFailInCurrentTurn = false
	didCompleteReadingStream = false
	assistantMessageParser?: AssistantMessageParser
	private providerProfileChangeListener?: (config: { name: string; provider?: string }) => void

	// Native tool call streaming state (track which index each tool is at)
	private streamingToolCallIndices: Map<string, number> = new Map()

	// Cached model info for current streaming session (set at start of each API request)
	// This prevents excessive getModel() calls during tool execution
	cachedStreamingModel?: { id: string; info: ModelInfo }

	// Token Usage Cache
	private tokenUsageSnapshot?: TokenUsage
	private tokenUsageSnapshotAt?: number

	// Tool Usage Cache
	private toolUsageSnapshot?: ToolUsage

	// Token Usage Throttling - Debounced emit function
	private readonly TOKEN_USAGE_EMIT_INTERVAL_MS = 2000 // 2 seconds
	private debouncedEmitTokenUsage: ReturnType<typeof debounce>

	// Cloud Sync Tracking
	private cloudSyncedMessageTimestamps: Set<number> = new Set()

	// Initial status for the task's history item (set at creation time to avoid race conditions)
	private readonly initialStatus?: "active" | "delegated" | "completed"

	// MessageManager for high-level message operations (lazy initialized)
	private _messageManager?: MessageManager

	constructor({
		provider,
		apiConfiguration,
		enableDiff = false,
		enableCheckpoints = true,
		checkpointTimeout = DEFAULT_CHECKPOINT_TIMEOUT_SECONDS,
		enableBridge = false,
		fuzzyMatchThreshold = 1.0,
		consecutiveMistakeLimit = DEFAULT_CONSECUTIVE_MISTAKE_LIMIT,
		task,
		images,
		historyItem,
		experiments: experimentsConfig,
		startTask = true,
		rootTask,
		parentTask,
		taskNumber = -1,
		onCreated,
		initialTodos,
		workspacePath,
		initialStatus,
	}: TaskOptions) {
		super()

		if (startTask && !task && !images && !historyItem) {
			throw new Error("Either historyItem or task/images must be provided")
		}

		if (
			!checkpointTimeout ||
			checkpointTimeout > MAX_CHECKPOINT_TIMEOUT_SECONDS ||
			checkpointTimeout < MIN_CHECKPOINT_TIMEOUT_SECONDS
		) {
			throw new Error(
				"checkpointTimeout must be between " +
					MIN_CHECKPOINT_TIMEOUT_SECONDS +
					" and " +
					MAX_CHECKPOINT_TIMEOUT_SECONDS +
					" seconds",
			)
		}

		this.taskId = historyItem ? historyItem.id : crypto.randomUUID()
		this.rootTaskId = historyItem ? historyItem.rootTaskId : rootTask?.taskId
		this.parentTaskId = historyItem ? historyItem.parentTaskId : parentTask?.taskId
		this.childTaskId = undefined

		this.metadata = {
			task: historyItem ? historyItem.task : task,
			images: historyItem ? [] : images,
		}

		// Normal use-case is usually retry similar history task with new workspace.
		this.workspacePath = parentTask
			? parentTask.workspacePath
			: (workspacePath ?? getWorkspacePath(path.join(os.homedir(), "Desktop")))

		this.instanceId = crypto.randomUUID().slice(0, 8)
		this.taskNumber = -1

		this.rooIgnoreController = new RooIgnoreController(this.cwd)
		this.rooProtectedController = new RooProtectedController(this.cwd)
		this.fileContextTracker = new FileContextTracker(provider, this.taskId)

		this.rooIgnoreController.initialize().catch((error) => {
			console.error("Failed to initialize RooIgnoreController:", error)
		})

		this.apiConfiguration = apiConfiguration
		this.api = buildApiHandler(apiConfiguration)
		this.autoApprovalHandler = new AutoApprovalHandler()

		this.urlContentFetcher = new UrlContentFetcher(provider.context)
		this.browserSession = new BrowserSession(provider.context, (isActive: boolean) => {
			// Add a message to indicate browser session status change
			this.say("browser_session_status", isActive ? "Browser session opened" : "Browser session closed")
			// Broadcast to browser panel
			this.broadcastBrowserSessionUpdate()

			// When a browser session becomes active, automatically open/reveal the Browser Session tab
			if (isActive) {
				try {
					// Lazy-load to avoid circular imports at module load time
					const { BrowserSessionPanelManager } = require("../webview/BrowserSessionPanelManager")
					const providerRef = this.providerRef.deref()
					if (providerRef) {
						BrowserSessionPanelManager.getInstance(providerRef)
							.show()
							.catch(() => {})
					}
				} catch (err) {
					console.error("[Task] Failed to auto-open Browser Session panel:", err)
				}
			}
		})
		this.diffEnabled = enableDiff
		this.fuzzyMatchThreshold = fuzzyMatchThreshold
		this.consecutiveMistakeLimit = consecutiveMistakeLimit ?? DEFAULT_CONSECUTIVE_MISTAKE_LIMIT
		this.providerRef = new WeakRef(provider)
		this.globalStoragePath = provider.context.globalStorageUri.fsPath
		this.diffViewProvider = new DiffViewProvider(this.cwd, this)
		this.enableCheckpoints = enableCheckpoints
		this.checkpointTimeout = checkpointTimeout
		this.enableBridge = enableBridge

		this.parentTask = parentTask
		this.taskNumber = taskNumber
		this.initialStatus = initialStatus

		// Store the task's mode when it's created.
		// For history items, use the stored mode; for new tasks, we'll set it
		// after getting state.
		if (historyItem) {
			this._taskMode = historyItem.mode || defaultModeSlug
			this.taskModeReady = Promise.resolve()
			TelemetryService.instance.captureTaskRestarted(this.taskId)
		} else {
			// For new tasks, don't set the mode yet - wait for async initialization.
			this._taskMode = undefined
			this.taskModeReady = this.initializeTaskMode(provider)
			TelemetryService.instance.captureTaskCreated(this.taskId)
		}

		// Initialize the assistant message parser only for XML protocol.
		// For native protocol, tool calls come as tool_call chunks, not XML.
		// experiments is always provided via TaskOptions (defaults to experimentDefault in provider)
		const modelInfo = this.api.getModel().info
		const toolProtocol = resolveToolProtocol(this.apiConfiguration, modelInfo)
		this.assistantMessageParser = toolProtocol !== "native" ? new AssistantMessageParser() : undefined

		this.messageQueueService = new MessageQueueService()

		this.messageQueueStateChangedHandler = () => {
			this.emit(RooCodeEventName.TaskUserMessage, this.taskId)
			this.providerRef.deref()?.postStateToWebview()
		}

		this.messageQueueService.on("stateChanged", this.messageQueueStateChangedHandler)

		// Listen for provider profile changes to update parser state
		this.setupProviderProfileChangeListener(provider)

		// Only set up diff strategy if diff is enabled.
		if (this.diffEnabled) {
			// Default to old strategy, will be updated if experiment is enabled.
			this.diffStrategy = new MultiSearchReplaceDiffStrategy(this.fuzzyMatchThreshold)

			// Check experiment asynchronously and update strategy if needed.
			provider.getState().then((state) => {
				const isMultiFileApplyDiffEnabled = experiments.isEnabled(
					state.experiments ?? {},
					EXPERIMENT_IDS.MULTI_FILE_APPLY_DIFF,
				)

				if (isMultiFileApplyDiffEnabled) {
					this.diffStrategy = new MultiFileSearchReplaceDiffStrategy(this.fuzzyMatchThreshold)
				}
			})
		}

		this.toolRepetitionDetector = new ToolRepetitionDetector(this.consecutiveMistakeLimit)

		// Initialize todo list if provided
		if (initialTodos && initialTodos.length > 0) {
			this.todoList = initialTodos
		}

		// Initialize debounced token usage emit function
		// Uses debounce with maxWait to achieve throttle-like behavior:
		// - leading: true  - Emit immediately on first call
		// - trailing: true - Emit final state when updates stop
		// - maxWait        - Ensures at most one emit per interval during rapid updates (throttle behavior)
		this.debouncedEmitTokenUsage = debounce(
			(tokenUsage: TokenUsage, toolUsage: ToolUsage) => {
				const tokenChanged = hasTokenUsageChanged(tokenUsage, this.tokenUsageSnapshot)
				const toolChanged = hasToolUsageChanged(toolUsage, this.toolUsageSnapshot)

				if (tokenChanged || toolChanged) {
					this.emit(RooCodeEventName.TaskTokenUsageUpdated, this.taskId, tokenUsage, toolUsage)
					this.tokenUsageSnapshot = tokenUsage
					this.tokenUsageSnapshotAt = this.clineMessages.at(-1)?.ts
					// Deep copy tool usage for snapshot
					this.toolUsageSnapshot = JSON.parse(JSON.stringify(toolUsage))
				}
			},
			this.TOKEN_USAGE_EMIT_INTERVAL_MS,
			{ leading: true, trailing: true, maxWait: this.TOKEN_USAGE_EMIT_INTERVAL_MS },
		)

		onCreated?.(this)

		if (startTask) {
			if (task || images) {
				this.startTask(task, images)
			} else if (historyItem) {
				this.resumeTaskFromHistory()
			} else {
				throw new Error("Either historyItem or task/images must be provided")
			}
		}
	}

	/**
	 * Initialize the task mode from the provider state.
	 * This method handles async initialization with proper error handling.
	 *
	 * ## Flow
	 * 1. Attempts to fetch the current mode from provider state
	 * 2. Sets `_taskMode` to the fetched mode or `defaultModeSlug` if unavailable
	 * 3. Handles errors gracefully by falling back to default mode
	 * 4. Logs any initialization errors for debugging
	 *
	 * ## Error handling
	 * - Network failures when fetching provider state
	 * - Provider not yet initialized
	 * - Invalid state structure
	 *
	 * All errors result in fallback to `defaultModeSlug` to ensure task can proceed.
	 *
	 * @private
	 * @param provider - The ClineProvider instance to fetch state from
	 * @returns Promise that resolves when initialization is complete
	 */
	private async initializeTaskMode(provider: ClineProvider): Promise<void> {
		try {
			const state = await provider.getState()
			this._taskMode = state?.mode || defaultModeSlug
		} catch (error) {
			// If there's an error getting state, use the default mode
			this._taskMode = defaultModeSlug
			// Use the provider's log method for better error visibility
			const errorMessage = `Failed to initialize task mode: ${error instanceof Error ? error.message : String(error)}`
			provider.log(errorMessage)
		}
	}

	/**
	 * Sets up a listener for provider profile changes to automatically update the parser state.
	 * This ensures the XML/native protocol parser stays synchronized with the current model.
	 *
	 * @private
	 * @param provider - The ClineProvider instance to listen to
	 */
	private setupProviderProfileChangeListener(provider: ClineProvider): void {
		// Only set up listener if provider has the on method (may not exist in test mocks)
		if (typeof provider.on !== "function") {
			return
		}

		this.providerProfileChangeListener = async () => {
			try {
				const newState = await provider.getState()
				if (newState?.apiConfiguration) {
					this.updateApiConfiguration(newState.apiConfiguration)
				}
			} catch (error) {
				console.error(
					`[Task#${this.taskId}.${this.instanceId}] Failed to update API configuration on profile change:`,
					error,
				)
			}
		}

		provider.on(RooCodeEventName.ProviderProfileChanged, this.providerProfileChangeListener)
	}

	/**
	 * Wait for the task mode to be initialized before proceeding.
	 * This method ensures that any operations depending on the task mode
	 * will have access to the correct mode value.
	 *
	 * ## When to use
	 * - Before accessing mode-specific configurations
	 * - When switching between tasks with different modes
	 * - Before operations that depend on mode-based permissions
	 *
	 * ## Example usage
	 * ```typescript
	 * // Wait for mode initialization before mode-dependent operations
	 * await task.waitForModeInitialization();
	 * const mode = task.taskMode; // Now safe to access synchronously
	 *
	 * // Or use with getTaskMode() for a one-liner
	 * const mode = await task.getTaskMode(); // Internally waits for initialization
	 * ```
	 *
	 * @returns Promise that resolves when the task mode is initialized
	 * @public
	 */
	public async waitForModeInitialization(): Promise<void> {
		return this.taskModeReady
	}

	/**
	 * Get the task mode asynchronously, ensuring it's properly initialized.
	 * This is the recommended way to access the task mode as it guarantees
	 * the mode is available before returning.
	 *
	 * ## Async behavior
	 * - Internally waits for `taskModeReady` promise to resolve
	 * - Returns the initialized mode or `defaultModeSlug` as fallback
	 * - Safe to call multiple times - subsequent calls return immediately if already initialized
	 *
	 * ## Example usage
	 * ```typescript
	 * // Safe async access
	 * const mode = await task.getTaskMode();
	 * console.log(`Task is running in ${mode} mode`);
	 *
	 * // Use in conditional logic
	 * if (await task.getTaskMode() === 'architect') {
	 *   // Perform architect-specific operations
	 * }
	 * ```
	 *
	 * @returns Promise resolving to the task mode string
	 * @public
	 */
	public async getTaskMode(): Promise<string> {
		await this.taskModeReady
		return this._taskMode || defaultModeSlug
	}

	/**
	 * Get the task mode synchronously. This should only be used when you're certain
	 * that the mode has already been initialized (e.g., after waitForModeInitialization).
	 *
	 * ## When to use
	 * - In synchronous contexts where async/await is not available
	 * - After explicitly waiting for initialization via `waitForModeInitialization()`
	 * - In event handlers or callbacks where mode is guaranteed to be initialized
	 *
	 * ## Example usage
	 * ```typescript
	 * // After ensuring initialization
	 * await task.waitForModeInitialization();
	 * const mode = task.taskMode; // Safe synchronous access
	 *
	 * // In an event handler after task is started
	 * task.on('taskStarted', () => {
	 *   console.log(`Task started in ${task.taskMode} mode`); // Safe here
	 * });
	 * ```
	 *
	 * @throws {Error} If the mode hasn't been initialized yet
	 * @returns The task mode string
	 * @public
	 */
	public get taskMode(): string {
		if (this._taskMode === undefined) {
			throw new Error("Task mode accessed before initialization. Use getTaskMode() or wait for taskModeReady.")
		}

		return this._taskMode
	}

	static create(options: TaskOptions): [Task, Promise<void>] {
		const instance = new Task({ ...options, startTask: false })
		const { images, task, historyItem } = options
		let promise

		if (images || task) {
			promise = instance.startTask(task, images)
		} else if (historyItem) {
			promise = instance.resumeTaskFromHistory()
		} else {
			throw new Error("Either historyItem or task/images must be provided")
		}

		return [instance, promise]
	}

	// API Messages

	private async getSavedApiConversationHistory(): Promise<ApiMessage[]> {
		return readApiMessages({ taskId: this.taskId, globalStoragePath: this.globalStoragePath })
	}

	private async addToApiConversationHistory(message: Anthropic.MessageParam, reasoning?: string) {
		// Capture the encrypted_content / thought signatures from the provider (e.g., OpenAI Responses API, Google GenAI) if present.
		// We only persist data reported by the current response body.
		const handler = this.api as ApiHandler & {
			getResponseId?: () => string | undefined
			getEncryptedContent?: () => { encrypted_content: string; id?: string } | undefined
			getThoughtSignature?: () => string | undefined
			getSummary?: () => any[] | undefined
			getReasoningDetails?: () => any[] | undefined
		}

		if (message.role === "assistant") {
			const responseId = handler.getResponseId?.()
			const reasoningData = handler.getEncryptedContent?.()
			const thoughtSignature = handler.getThoughtSignature?.()
			const reasoningSummary = handler.getSummary?.()
			const reasoningDetails = handler.getReasoningDetails?.()

			// Start from the original assistant message
			const messageWithTs: any = {
				...message,
				...(responseId ? { id: responseId } : {}),
				ts: Date.now(),
			}

			// Store reasoning_details array if present (for models like Gemini 3)
			if (reasoningDetails) {
				messageWithTs.reasoning_details = reasoningDetails
			}

			// Store reasoning: plain text (most providers) or encrypted (OpenAI Native)
			// Skip if reasoning_details already contains the reasoning (to avoid duplication)
			if (reasoning && !reasoningDetails) {
				const reasoningBlock = {
					type: "reasoning",
					text: reasoning,
					summary: reasoningSummary ?? ([] as any[]),
				}

				if (typeof messageWithTs.content === "string") {
					messageWithTs.content = [
						reasoningBlock,
						{ type: "text", text: messageWithTs.content } satisfies Anthropic.Messages.TextBlockParam,
					]
				} else if (Array.isArray(messageWithTs.content)) {
					messageWithTs.content = [reasoningBlock, ...messageWithTs.content]
				} else if (!messageWithTs.content) {
					messageWithTs.content = [reasoningBlock]
				}
			} else if (reasoningData?.encrypted_content) {
				// OpenAI Native encrypted reasoning
				const reasoningBlock = {
					type: "reasoning",
					summary: [] as any[],
					encrypted_content: reasoningData.encrypted_content,
					...(reasoningData.id ? { id: reasoningData.id } : {}),
				}

				if (typeof messageWithTs.content === "string") {
					messageWithTs.content = [
						reasoningBlock,
						{ type: "text", text: messageWithTs.content } satisfies Anthropic.Messages.TextBlockParam,
					]
				} else if (Array.isArray(messageWithTs.content)) {
					messageWithTs.content = [reasoningBlock, ...messageWithTs.content]
				} else if (!messageWithTs.content) {
					messageWithTs.content = [reasoningBlock]
				}
			}

			// If we have a thought signature, append it as a dedicated content block
			// so it can be round-tripped in api_history.json and re-sent on subsequent calls.
			if (thoughtSignature) {
				const thoughtSignatureBlock = {
					type: "thoughtSignature",
					thoughtSignature,
				}

				if (typeof messageWithTs.content === "string") {
					messageWithTs.content = [
						{ type: "text", text: messageWithTs.content } satisfies Anthropic.Messages.TextBlockParam,
						thoughtSignatureBlock,
					]
				} else if (Array.isArray(messageWithTs.content)) {
					messageWithTs.content = [...messageWithTs.content, thoughtSignatureBlock]
				} else if (!messageWithTs.content) {
					messageWithTs.content = [thoughtSignatureBlock]
				}
			}

			this.apiConversationHistory.push(messageWithTs)
		} else {
			const messageWithTs = { ...message, ts: Date.now() }
			this.apiConversationHistory.push(messageWithTs)
		}

		await this.saveApiConversationHistory()
	}

	async overwriteApiConversationHistory(newHistory: ApiMessage[]) {
		this.apiConversationHistory = newHistory
		await this.saveApiConversationHistory()
	}

	/**
	 * Flush any pending tool results to the API conversation history.
	 *
	 * This is critical for native tool protocol when the task is about to be
	 * delegated (e.g., via new_task). Before delegation, if other tools were
	 * called in the same turn before new_task, their tool_result blocks are
	 * accumulated in `userMessageContent` but haven't been saved to the API
	 * history yet. If we don't flush them before the parent is disposed,
	 * the API conversation will be incomplete and cause 400 errors when
	 * the parent resumes (missing tool_result for tool_use blocks).
	 *
	 * NOTE: The assistant message is typically already in history by the time
	 * tools execute (added in recursivelyMakeClineRequests after streaming completes).
	 * So we usually only need to flush the pending user message with tool_results.
	 */
	public async flushPendingToolResultsToHistory(): Promise<void> {
		// Only flush if there's actually pending content to save
		if (this.userMessageContent.length === 0) {
			return
		}

		// Save the user message with tool_result blocks
		const userMessage: Anthropic.MessageParam = {
			role: "user",
			content: this.userMessageContent,
		}

		const userMessageWithTs = { ...userMessage, ts: Date.now() }
		this.apiConversationHistory.push(userMessageWithTs as ApiMessage)

		await this.saveApiConversationHistory()

		// Clear the pending content since it's now saved
		this.userMessageContent = []
	}

	private async saveApiConversationHistory() {
		try {
			await saveApiMessages({
				messages: this.apiConversationHistory,
				taskId: this.taskId,
				globalStoragePath: this.globalStoragePath,
			})
		} catch (error) {
			// In the off chance this fails, we don't want to stop the task.
			console.error("Failed to save API conversation history:", error)
		}
	}

	// Cline Messages

	private async getSavedClineMessages(): Promise<ClineMessage[]> {
		return readTaskMessages({ taskId: this.taskId, globalStoragePath: this.globalStoragePath })
	}

	private async addToClineMessages(message: ClineMessage) {
		this.clineMessages.push(message)
		const provider = this.providerRef.deref()
		await provider?.postStateToWebview()
		this.emit(RooCodeEventName.Message, { action: "created", message })
		await this.saveClineMessages()

		const shouldCaptureMessage = message.partial !== true && CloudService.isEnabled()

		if (shouldCaptureMessage) {
			CloudService.instance.captureEvent({
				event: TelemetryEventName.TASK_MESSAGE,
				properties: { taskId: this.taskId, message },
			})
			// Track that this message has been synced to cloud
			this.cloudSyncedMessageTimestamps.add(message.ts)
		}
	}

	public async overwriteClineMessages(newMessages: ClineMessage[]) {
		this.clineMessages = newMessages
		restoreTodoListForTask(this)
		await this.saveClineMessages()

		// When overwriting messages (e.g., during task resume), repopulate the cloud sync tracking Set
		// with timestamps from all non-partial messages to prevent re-syncing previously synced messages
		this.cloudSyncedMessageTimestamps.clear()
		for (const msg of newMessages) {
			if (msg.partial !== true) {
				this.cloudSyncedMessageTimestamps.add(msg.ts)
			}
		}
	}

	private async updateClineMessage(message: ClineMessage) {
		const provider = this.providerRef.deref()
		await provider?.postMessageToWebview({ type: "messageUpdated", clineMessage: message })
		this.emit(RooCodeEventName.Message, { action: "updated", message })

		// Check if we should sync to cloud and haven't already synced this message
		const shouldCaptureMessage = message.partial !== true && CloudService.isEnabled()
		const hasNotBeenSynced = !this.cloudSyncedMessageTimestamps.has(message.ts)

		if (shouldCaptureMessage && hasNotBeenSynced) {
			CloudService.instance.captureEvent({
				event: TelemetryEventName.TASK_MESSAGE,
				properties: { taskId: this.taskId, message },
			})
			// Track that this message has been synced to cloud
			this.cloudSyncedMessageTimestamps.add(message.ts)
		}
	}

	private async saveClineMessages() {
		try {
			await saveTaskMessages({
				messages: this.clineMessages,
				taskId: this.taskId,
				globalStoragePath: this.globalStoragePath,
			})

			const { historyItem, tokenUsage } = await taskMetadata({
				taskId: this.taskId,
				rootTaskId: this.rootTaskId,
				parentTaskId: this.parentTaskId,
				taskNumber: this.taskNumber,
				messages: this.clineMessages,
				globalStoragePath: this.globalStoragePath,
				workspace: this.cwd,
				mode: this._taskMode || defaultModeSlug, // Use the task's own mode, not the current provider mode.
				initialStatus: this.initialStatus,
			})

			// Emit token/tool usage updates using debounced function
			// The debounce with maxWait ensures:
			// - Immediate first emit (leading: true)
			// - At most one emit per interval during rapid updates (maxWait)
			// - Final state is emitted when updates stop (trailing: true)
			this.debouncedEmitTokenUsage(tokenUsage, this.toolUsage)

			await this.providerRef.deref()?.updateTaskHistory(historyItem)
		} catch (error) {
			console.error("Failed to save Roo messages:", error)
		}
	}

	private findMessageByTimestamp(ts: number): ClineMessage | undefined {
		for (let i = this.clineMessages.length - 1; i >= 0; i--) {
			if (this.clineMessages[i].ts === ts) {
				return this.clineMessages[i]
			}
		}

		return undefined
	}

	// Note that `partial` has three valid states true (partial message),
	// false (completion of partial message), undefined (individual complete
	// message).
	async ask(
		type: ClineAsk,
		text?: string,
		partial?: boolean,
		progressStatus?: ToolProgressStatus,
		isProtected?: boolean,
	): Promise<{ response: ClineAskResponse; text?: string; images?: string[] }> {
		// If this Cline instance was aborted by the provider, then the only
		// thing keeping us alive is a promise still running in the background,
		// in which case we don't want to send its result to the webview as it
		// is attached to a new instance of Cline now. So we can safely ignore
		// the result of any active promises, and this class will be
		// deallocated. (Although we set Cline = undefined in provider, that
		// simply removes the reference to this instance, but the instance is
		// still alive until this promise resolves or rejects.)
		if (this.abort) {
			throw new Error(`[RooCode#ask] task ${this.taskId}.${this.instanceId} aborted`)
		}

		let askTs: number

		if (partial !== undefined) {
			const lastMessage = this.clineMessages.at(-1)

			const isUpdatingPreviousPartial =
				lastMessage && lastMessage.partial && lastMessage.type === "ask" && lastMessage.ask === type

			if (partial) {
				if (isUpdatingPreviousPartial) {
					// Existing partial message, so update it.
					lastMessage.text = text
					lastMessage.partial = partial
					lastMessage.progressStatus = progressStatus
					lastMessage.isProtected = isProtected
					// TODO: Be more efficient about saving and posting only new
					// data or one whole message at a time so ignore partial for
					// saves, and only post parts of partial message instead of
					// whole array in new listener.
					this.updateClineMessage(lastMessage)
					// console.log("Task#ask: current ask promise was ignored (#1)")
					throw new AskIgnoredError("updating existing partial")
				} else {
					// This is a new partial message, so add it with partial
					// state.
					askTs = Date.now()
					this.lastMessageTs = askTs
					console.log(`Task#ask: new partial ask -> ${type} @ ${askTs}`)
					await this.addToClineMessages({ ts: askTs, type: "ask", ask: type, text, partial, isProtected })
					// console.log("Task#ask: current ask promise was ignored (#2)")
					throw new AskIgnoredError("new partial")
				}
			} else {
				if (isUpdatingPreviousPartial) {
					// This is the complete version of a previously partial
					// message, so replace the partial with the complete version.
					this.askResponse = undefined
					this.askResponseText = undefined
					this.askResponseImages = undefined

					// Bug for the history books:
					// In the webview we use the ts as the chatrow key for the
					// virtuoso list. Since we would update this ts right at the
					// end of streaming, it would cause the view to flicker. The
					// key prop has to be stable otherwise react has trouble
					// reconciling items between renders, causing unmounting and
					// remounting of components (flickering).
					// The lesson here is if you see flickering when rendering
					// lists, it's likely because the key prop is not stable.
					// So in this case we must make sure that the message ts is
					// never altered after first setting it.
					askTs = lastMessage.ts
					console.log(`Task#ask: updating previous partial ask -> ${type} @ ${askTs}`)
					this.lastMessageTs = askTs
					lastMessage.text = text
					lastMessage.partial = false
					lastMessage.progressStatus = progressStatus
					lastMessage.isProtected = isProtected
					await this.saveClineMessages()
					this.updateClineMessage(lastMessage)
				} else {
					// This is a new and complete message, so add it like normal.
					this.askResponse = undefined
					this.askResponseText = undefined
					this.askResponseImages = undefined
					askTs = Date.now()
					console.log(`Task#ask: new complete ask -> ${type} @ ${askTs}`)
					this.lastMessageTs = askTs
					await this.addToClineMessages({ ts: askTs, type: "ask", ask: type, text, isProtected })
				}
			}
		} else {
			// This is a new non-partial message, so add it like normal.
			this.askResponse = undefined
			this.askResponseText = undefined
			this.askResponseImages = undefined
			askTs = Date.now()
			console.log(`Task#ask: new complete ask -> ${type} @ ${askTs}`)
			this.lastMessageTs = askTs
			await this.addToClineMessages({ ts: askTs, type: "ask", ask: type, text, isProtected })
		}

		let timeouts: NodeJS.Timeout[] = []

		// Automatically approve if the ask according to the user's settings.
		const provider = this.providerRef.deref()
		const state = provider ? await provider.getState() : undefined
		const approval = await checkAutoApproval({ state, ask: type, text, isProtected })

		if (approval.decision === "approve") {
			this.approveAsk()
		} else if (approval.decision === "deny") {
			this.denyAsk()
		} else if (approval.decision === "timeout") {
			timeouts.push(
				setTimeout(() => {
					const { askResponse, text, images } = approval.fn()
					this.handleWebviewAskResponse(askResponse, text, images)
				}, approval.timeout),
			)
		}

		// The state is mutable if the message is complete and the task will
		// block (via the `pWaitFor`).
		const isBlocking = !(this.askResponse !== undefined || this.lastMessageTs !== askTs)
		const isMessageQueued = !this.messageQueueService.isEmpty()

		const isStatusMutable = !partial && isBlocking && !isMessageQueued && approval.decision === "ask"

		if (isBlocking) {
			console.log(`Task#ask will block -> type: ${type}`)
		}

		if (isStatusMutable) {
			console.log(`Task#ask: status is mutable -> type: ${type}`)
			const statusMutationTimeout = 2_000

			if (isInteractiveAsk(type)) {
				timeouts.push(
					setTimeout(() => {
						const message = this.findMessageByTimestamp(askTs)

						if (message) {
							this.interactiveAsk = message
							this.emit(RooCodeEventName.TaskInteractive, this.taskId)
							provider?.postMessageToWebview({ type: "interactionRequired" })
						}
					}, statusMutationTimeout),
				)
			} else if (isResumableAsk(type)) {
				timeouts.push(
					setTimeout(() => {
						const message = this.findMessageByTimestamp(askTs)

						if (message) {
							this.resumableAsk = message
							this.emit(RooCodeEventName.TaskResumable, this.taskId)
						}
					}, statusMutationTimeout),
				)
			} else if (isIdleAsk(type)) {
				timeouts.push(
					setTimeout(() => {
						const message = this.findMessageByTimestamp(askTs)

						if (message) {
							this.idleAsk = message
							this.emit(RooCodeEventName.TaskIdle, this.taskId)
						}
					}, statusMutationTimeout),
				)
			}
		} else if (isMessageQueued) {
			console.log(`Task#ask: will process message queue -> type: ${type}`)

			const message = this.messageQueueService.dequeueMessage()

			if (message) {
				// Check if this is a tool approval ask that needs to be handled.
				if (
					type === "tool" ||
					type === "command" ||
					type === "browser_action_launch" ||
					type === "use_mcp_server"
				) {
					// For tool approvals, we need to approve first, then send
					// the message if there's text/images.
					this.handleWebviewAskResponse("yesButtonClicked", message.text, message.images)
				} else {
					// For other ask types (like followup or command_output), fulfill the ask
					// directly.
					this.handleWebviewAskResponse("messageResponse", message.text, message.images)
				}
			}
		}

		// Wait for askResponse to be set
		await pWaitFor(() => this.askResponse !== undefined || this.lastMessageTs !== askTs, { interval: 100 })

		if (this.lastMessageTs !== askTs) {
			// Could happen if we send multiple asks in a row i.e. with
			// command_output. It's important that when we know an ask could
			// fail, it is handled gracefully.
			console.log("Task#ask: current ask promise was ignored")
			throw new AskIgnoredError("superseded")
		}

		const result = { response: this.askResponse!, text: this.askResponseText, images: this.askResponseImages }
		this.askResponse = undefined
		this.askResponseText = undefined
		this.askResponseImages = undefined

		// Cancel the timeouts if they are still running.
		timeouts.forEach((timeout) => clearTimeout(timeout))

		// Switch back to an active state.
		if (this.idleAsk || this.resumableAsk || this.interactiveAsk) {
			this.idleAsk = undefined
			this.resumableAsk = undefined
			this.interactiveAsk = undefined
			this.emit(RooCodeEventName.TaskActive, this.taskId)
		}

		this.emit(RooCodeEventName.TaskAskResponded)
		return result
	}

	handleWebviewAskResponse(askResponse: ClineAskResponse, text?: string, images?: string[]) {
		this.askResponse = askResponse
		this.askResponseText = text
		this.askResponseImages = images

		// Create a checkpoint whenever the user sends a message.
		// Use allowEmpty=true to ensure a checkpoint is recorded even if there are no file changes.
		// Suppress the checkpoint_saved chat row for this particular checkpoint to keep the timeline clean.
		if (askResponse === "messageResponse") {
			void this.checkpointSave(false, true)
		}

		// Mark the last follow-up question as answered
		if (askResponse === "messageResponse" || askResponse === "yesButtonClicked") {
			// Find the last unanswered follow-up message using findLastIndex
			const lastFollowUpIndex = findLastIndex(
				this.clineMessages,
				(msg) => msg.type === "ask" && msg.ask === "followup" && !msg.isAnswered,
			)

			if (lastFollowUpIndex !== -1) {
				// Mark this follow-up as answered
				this.clineMessages[lastFollowUpIndex].isAnswered = true
				// Save the updated messages
				this.saveClineMessages().catch((error) => {
					console.error("Failed to save answered follow-up state:", error)
				})
			}
		}
	}

	public approveAsk({ text, images }: { text?: string; images?: string[] } = {}) {
		this.handleWebviewAskResponse("yesButtonClicked", text, images)
	}

	public denyAsk({ text, images }: { text?: string; images?: string[] } = {}) {
		this.handleWebviewAskResponse("noButtonClicked", text, images)
	}

	/**
	 * Updates the API configuration and reinitializes the parser based on the new tool protocol.
	 * This should be called when switching between models/profiles with different tool protocols
	 * to prevent the parser from being left in an inconsistent state.
	 *
	 * @param newApiConfiguration - The new API configuration to use
	 */
	public updateApiConfiguration(newApiConfiguration: ProviderSettings): void {
		// Update the configuration and rebuild the API handler
		this.apiConfiguration = newApiConfiguration
		this.api = buildApiHandler(newApiConfiguration)

		// Determine what the tool protocol should be
		const modelInfo = this.api.getModel().info
		const protocol = resolveToolProtocol(this.apiConfiguration, modelInfo)
		const shouldUseXmlParser = protocol === "xml"

		// Ensure parser state matches protocol requirement
		const parserStateCorrect =
			(shouldUseXmlParser && this.assistantMessageParser) || (!shouldUseXmlParser && !this.assistantMessageParser)

		if (parserStateCorrect) {
			return
		}

		// Fix parser state
		if (shouldUseXmlParser && !this.assistantMessageParser) {
			this.assistantMessageParser = new AssistantMessageParser()
		} else if (!shouldUseXmlParser && this.assistantMessageParser) {
			this.assistantMessageParser.reset()
			this.assistantMessageParser = undefined
		}
	}

	public async submitUserMessage(
		text: string,
		images?: string[],
		mode?: string,
		providerProfile?: string,
	): Promise<void> {
		try {
			text = (text ?? "").trim()
			images = images ?? []

			if (text.length === 0 && images.length === 0) {
				return
			}

			const provider = this.providerRef.deref()

			if (provider) {
				if (mode) {
					await provider.setMode(mode)
				}

				if (providerProfile) {
					await provider.setProviderProfile(providerProfile)

					// Update this task's API configuration to match the new profile
					// This ensures the parser state is synchronized with the selected model
					const newState = await provider.getState()
					if (newState?.apiConfiguration) {
						this.updateApiConfiguration(newState.apiConfiguration)
					}
				}

				this.emit(RooCodeEventName.TaskUserMessage, this.taskId)

				provider.postMessageToWebview({ type: "invoke", invoke: "sendMessage", text, images })
			} else {
				console.error("[Task#submitUserMessage] Provider reference lost")
			}
		} catch (error) {
			console.error("[Task#submitUserMessage] Failed to submit user message:", error)
		}
	}

	async handleTerminalOperation(terminalOperation: "continue" | "abort") {
		if (terminalOperation === "continue") {
			this.terminalProcess?.continue()
		} else if (terminalOperation === "abort") {
			this.terminalProcess?.abort()
		}
	}

	public async condenseContext(): Promise<void> {
		const systemPrompt = await this.getSystemPrompt()

		// Get condensing configuration
		const state = await this.providerRef.deref()?.getState()
		// These properties may not exist in the state type yet, but are used for condensing configuration
		const customCondensingPrompt = state?.customCondensingPrompt
		const condensingApiConfigId = state?.condensingApiConfigId
		const listApiConfigMeta = state?.listApiConfigMeta

		// Determine API handler to use
		let condensingApiHandler: ApiHandler | undefined
		if (condensingApiConfigId && listApiConfigMeta && Array.isArray(listApiConfigMeta)) {
			// Find matching config by ID
			const matchingConfig = listApiConfigMeta.find((config) => config.id === condensingApiConfigId)
			if (matchingConfig) {
				const profile = await this.providerRef.deref()?.providerSettingsManager.getProfile({
					id: condensingApiConfigId,
				})
				// Ensure profile and apiProvider exist before trying to build handler
				if (profile && profile.apiProvider) {
					condensingApiHandler = buildApiHandler(profile)
				}
			}
		}

		const { contextTokens: prevContextTokens } = this.getTokenUsage()

		// Determine if we're using native tool protocol for proper message handling
		const modelInfo = this.api.getModel().info
		const protocol = resolveToolProtocol(this.apiConfiguration, modelInfo)
		const useNativeTools = isNativeProtocol(protocol)

		const {
			messages,
			summary,
			cost,
			newContextTokens = 0,
			error,
			condenseId,
		} = await summarizeConversation(
			this.apiConversationHistory,
			this.api, // Main API handler (fallback)
			systemPrompt, // Default summarization prompt (fallback)
			this.taskId,
			prevContextTokens,
			false, // manual trigger
			customCondensingPrompt, // User's custom prompt
			condensingApiHandler, // Specific handler for condensing
			useNativeTools, // Pass native tools flag for proper message handling
		)
		if (error) {
			this.say(
				"condense_context_error",
				error,
				undefined /* images */,
				false /* partial */,
				undefined /* checkpoint */,
				undefined /* progressStatus */,
				{ isNonInteractive: true } /* options */,
			)
			return
		}
		await this.overwriteApiConversationHistory(messages)

		const contextCondense: ContextCondense = {
			summary,
			cost,
			newContextTokens,
			prevContextTokens,
			condenseId: condenseId!,
		}
		await this.say(
			"condense_context",
			undefined /* text */,
			undefined /* images */,
			false /* partial */,
			undefined /* checkpoint */,
			undefined /* progressStatus */,
			{ isNonInteractive: true } /* options */,
			contextCondense,
		)

		// Process any queued messages after condensing completes
		this.processQueuedMessages()
	}

	async say(
		type: ClineSay,
		text?: string,
		images?: string[],
		partial?: boolean,
		checkpoint?: Record<string, unknown>,
		progressStatus?: ToolProgressStatus,
		options: {
			isNonInteractive?: boolean
		} = {},
		contextCondense?: ContextCondense,
		contextTruncation?: ContextTruncation,
	): Promise<undefined> {
		if (this.abort) {
			throw new Error(`[RooCode#say] task ${this.taskId}.${this.instanceId} aborted`)
		}

		if (partial !== undefined) {
			const lastMessage = this.clineMessages.at(-1)

			const isUpdatingPreviousPartial =
				lastMessage && lastMessage.partial && lastMessage.type === "say" && lastMessage.say === type

			if (partial) {
				if (isUpdatingPreviousPartial) {
					// Existing partial message, so update it.
					lastMessage.text = text
					lastMessage.images = images
					lastMessage.partial = partial
					lastMessage.progressStatus = progressStatus
					this.updateClineMessage(lastMessage)
				} else {
					// This is a new partial message, so add it with partial state.
					const sayTs = Date.now()

					if (!options.isNonInteractive) {
						this.lastMessageTs = sayTs
					}

					await this.addToClineMessages({
						ts: sayTs,
						type: "say",
						say: type,
						text,
						images,
						partial,
						contextCondense,
						contextTruncation,
					})
				}
			} else {
				// New now have a complete version of a previously partial message.
				// This is the complete version of a previously partial
				// message, so replace the partial with the complete version.
				if (isUpdatingPreviousPartial) {
					if (!options.isNonInteractive) {
						this.lastMessageTs = lastMessage.ts
					}

					lastMessage.text = text
					lastMessage.images = images
					lastMessage.partial = false
					lastMessage.progressStatus = progressStatus

					// Instead of streaming partialMessage events, we do a save
					// and post like normal to persist to disk.
					await this.saveClineMessages()

					// More performant than an entire `postStateToWebview`.
					this.updateClineMessage(lastMessage)
				} else {
					// This is a new and complete message, so add it like normal.
					const sayTs = Date.now()

					if (!options.isNonInteractive) {
						this.lastMessageTs = sayTs
					}

					await this.addToClineMessages({
						ts: sayTs,
						type: "say",
						say: type,
						text,
						images,
						contextCondense,
						contextTruncation,
					})
				}
			}
		} else {
			// This is a new non-partial message, so add it like normal.
			const sayTs = Date.now()

			// A "non-interactive" message is a message is one that the user
			// does not need to respond to. We don't want these message types
			// to trigger an update to `lastMessageTs` since they can be created
			// asynchronously and could interrupt a pending ask.
			if (!options.isNonInteractive) {
				this.lastMessageTs = sayTs
			}

			await this.addToClineMessages({
				ts: sayTs,
				type: "say",
				say: type,
				text,
				images,
				checkpoint,
				contextCondense,
				contextTruncation,
			})
		}

		// Broadcast browser session updates to panel when browser-related messages are added
		if (type === "browser_action" || type === "browser_action_result" || type === "browser_session_status") {
			this.broadcastBrowserSessionUpdate()
		}
	}

	async sayAndCreateMissingParamError(toolName: ToolName, paramName: string, relPath?: string) {
		await this.say(
			"error",
			`Roo tried to use ${toolName}${
				relPath ? ` for '${relPath.toPosix()}'` : ""
			} without value for required parameter '${paramName}'. Retrying...`,
		)
		const modelInfo = this.api.getModel().info
		const state = await this.providerRef.deref()?.getState()
		const toolProtocol = resolveToolProtocol(this.apiConfiguration, modelInfo)
		return formatResponse.toolError(formatResponse.missingToolParameterError(paramName, toolProtocol))
	}

	// Lifecycle
	// Start / Resume / Abort / Dispose

	private async startTask(task?: string, images?: string[]): Promise<void> {
		if (this.enableBridge) {
			try {
				await BridgeOrchestrator.subscribeToTask(this)
			} catch (error) {
				console.error(
					`[Task#startTask] BridgeOrchestrator.subscribeToTask() failed: ${error instanceof Error ? error.message : String(error)}`,
				)
			}
		}

		// `conversationHistory` (for API) and `clineMessages` (for webview)
		// need to be in sync.
		// If the extension process were killed, then on restart the
		// `clineMessages` might not be empty, so we need to set it to [] when
		// we create a new Cline client (otherwise webview would show stale
		// messages from previous session).
		this.clineMessages = []
		this.apiConversationHistory = []

		// The todo list is already set in the constructor if initialTodos were provided
		// No need to add any messages - the todoList property is already set

		await this.providerRef.deref()?.postStateToWebview()

		await this.say("text", task, images)
		this.isInitialized = true

		let imageBlocks: Anthropic.ImageBlockParam[] = formatResponse.imageBlocks(images)

		// Task starting

		await this.initiateTaskLoop([
			{
				type: "text",
				text: `<task>\n${task}\n</task>`,
			},
			...imageBlocks,
		]).catch((error) => {
			// Swallow loop rejection when the task was intentionally abandoned/aborted
			// during delegation or user cancellation to prevent unhandled rejections.
			if (this.abandoned === true || this.abortReason === "user_cancelled") {
				return
			}
			throw error
		})
	}

	private async resumeTaskFromHistory() {
		if (this.enableBridge) {
			try {
				await BridgeOrchestrator.subscribeToTask(this)
			} catch (error) {
				console.error(
					`[Task#resumeTaskFromHistory] BridgeOrchestrator.subscribeToTask() failed: ${error instanceof Error ? error.message : String(error)}`,
				)
			}
		}

		const modifiedClineMessages = await this.getSavedClineMessages()

		// Remove any resume messages that may have been added before.
		const lastRelevantMessageIndex = findLastIndex(
			modifiedClineMessages,
			(m) => !(m.ask === "resume_task" || m.ask === "resume_completed_task"),
		)

		if (lastRelevantMessageIndex !== -1) {
			modifiedClineMessages.splice(lastRelevantMessageIndex + 1)
		}

		// Remove any trailing reasoning-only UI messages that were not part of the persisted API conversation
		while (modifiedClineMessages.length > 0) {
			const last = modifiedClineMessages[modifiedClineMessages.length - 1]
			if (last.type === "say" && last.say === "reasoning") {
				modifiedClineMessages.pop()
			} else {
				break
			}
		}

		// Since we don't use `api_req_finished` anymore, we need to check if the
		// last `api_req_started` has a cost value, if it doesn't and no
		// cancellation reason to present, then we remove it since it indicates
		// an api request without any partial content streamed.
		const lastApiReqStartedIndex = findLastIndex(
			modifiedClineMessages,
			(m) => m.type === "say" && m.say === "api_req_started",
		)

		if (lastApiReqStartedIndex !== -1) {
			const lastApiReqStarted = modifiedClineMessages[lastApiReqStartedIndex]
			const { cost, cancelReason }: ClineApiReqInfo = JSON.parse(lastApiReqStarted.text || "{}")

			if (cost === undefined && cancelReason === undefined) {
				modifiedClineMessages.splice(lastApiReqStartedIndex, 1)
			}
		}

		await this.overwriteClineMessages(modifiedClineMessages)
		this.clineMessages = await this.getSavedClineMessages()

		// Now present the cline messages to the user and ask if they want to
		// resume (NOTE: we ran into a bug before where the
		// apiConversationHistory wouldn't be initialized when opening a old
		// task, and it was because we were waiting for resume).
		// This is important in case the user deletes messages without resuming
		// the task first.
		this.apiConversationHistory = await this.getSavedApiConversationHistory()

		const lastClineMessage = this.clineMessages
			.slice()
			.reverse()
			.find((m) => !(m.ask === "resume_task" || m.ask === "resume_completed_task")) // Could be multiple resume tasks.

		let askType: ClineAsk
		if (lastClineMessage?.ask === "completion_result") {
			askType = "resume_completed_task"
		} else {
			askType = "resume_task"
		}

		this.isInitialized = true

		const { response, text, images } = await this.ask(askType) // Calls `postStateToWebview`.

		let responseText: string | undefined
		let responseImages: string[] | undefined

		if (response === "messageResponse") {
			await this.say("user_feedback", text, images)
			responseText = text
			responseImages = images
		}

		// Make sure that the api conversation history can be resumed by the API,
		// even if it goes out of sync with cline messages.
		let existingApiConversationHistory: ApiMessage[] = await this.getSavedApiConversationHistory()

		// v2.0 xml tags refactor caveat: since we don't use tools anymore for XML protocol,
		// we need to replace all tool use blocks with a text block since the API disallows
		// conversations with tool uses and no tool schema.
		// For native protocol, we preserve tool_use and tool_result blocks as they're expected by the API.
		const state = await this.providerRef.deref()?.getState()
		const protocol = resolveToolProtocol(this.apiConfiguration, this.api.getModel().info)
		const useNative = isNativeProtocol(protocol)

		// Only convert tool blocks to text for XML protocol
		// For native protocol, the API expects proper tool_use/tool_result structure
		if (!useNative) {
			const conversationWithoutToolBlocks = existingApiConversationHistory.map((message) => {
				if (Array.isArray(message.content)) {
					const newContent = message.content.map((block) => {
						if (block.type === "tool_use") {
							// Format tool invocation based on protocol
							const params = block.input as Record<string, any>
							const formattedText = formatToolInvocation(block.name, params, protocol)

							return {
								type: "text",
								text: formattedText,
							} as Anthropic.Messages.TextBlockParam
						} else if (block.type === "tool_result") {
							// Convert block.content to text block array, removing images
							const contentAsTextBlocks = Array.isArray(block.content)
								? block.content.filter((item) => item.type === "text")
								: [{ type: "text", text: block.content }]
							const textContent = contentAsTextBlocks.map((item) => item.text).join("\n\n")
							const toolName = findToolName(block.tool_use_id, existingApiConversationHistory)
							return {
								type: "text",
								text: `[${toolName} Result]\n\n${textContent}`,
							} as Anthropic.Messages.TextBlockParam
						}
						return block
					})
					return { ...message, content: newContent }
				}
				return message
			})
			existingApiConversationHistory = conversationWithoutToolBlocks
		}

		// FIXME: remove tool use blocks altogether

		// if the last message is an assistant message, we need to check if there's tool use since every tool use has to have a tool response
		// if there's no tool use and only a text block, then we can just add a user message
		// (note this isn't relevant anymore since we use custom tool prompts instead of tool use blocks, but this is here for legacy purposes in case users resume old tasks)

		// if the last message is a user message, we can need to get the assistant message before it to see if it made tool calls, and if so, fill in the remaining tool responses with 'interrupted'

		let modifiedOldUserContent: Anthropic.Messages.ContentBlockParam[] // either the last message if its user message, or the user message before the last (assistant) message
		let modifiedApiConversationHistory: ApiMessage[] // need to remove the last user message to replace with new modified user message
		if (existingApiConversationHistory.length > 0) {
			const lastMessage = existingApiConversationHistory[existingApiConversationHistory.length - 1]

			if (lastMessage.role === "assistant") {
				const content = Array.isArray(lastMessage.content)
					? lastMessage.content
					: [{ type: "text", text: lastMessage.content }]
				const hasToolUse = content.some((block) => block.type === "tool_use")

				if (hasToolUse) {
					const toolUseBlocks = content.filter(
						(block) => block.type === "tool_use",
					) as Anthropic.Messages.ToolUseBlock[]
					const toolResponses: Anthropic.ToolResultBlockParam[] = toolUseBlocks.map((block) => ({
						type: "tool_result",
						tool_use_id: block.id,
						content: "Task was interrupted before this tool call could be completed.",
					}))
					modifiedApiConversationHistory = [...existingApiConversationHistory] // no changes
					modifiedOldUserContent = [...toolResponses]
				} else {
					modifiedApiConversationHistory = [...existingApiConversationHistory]
					modifiedOldUserContent = []
				}
			} else if (lastMessage.role === "user") {
				const previousAssistantMessage: ApiMessage | undefined =
					existingApiConversationHistory[existingApiConversationHistory.length - 2]

				const existingUserContent: Anthropic.Messages.ContentBlockParam[] = Array.isArray(lastMessage.content)
					? lastMessage.content
					: [{ type: "text", text: lastMessage.content }]
				if (previousAssistantMessage && previousAssistantMessage.role === "assistant") {
					const assistantContent = Array.isArray(previousAssistantMessage.content)
						? previousAssistantMessage.content
						: [{ type: "text", text: previousAssistantMessage.content }]

					const toolUseBlocks = assistantContent.filter(
						(block) => block.type === "tool_use",
					) as Anthropic.Messages.ToolUseBlock[]

					if (toolUseBlocks.length > 0) {
						const existingToolResults = existingUserContent.filter(
							(block) => block.type === "tool_result",
						) as Anthropic.ToolResultBlockParam[]

						const missingToolResponses: Anthropic.ToolResultBlockParam[] = toolUseBlocks
							.filter(
								(toolUse) => !existingToolResults.some((result) => result.tool_use_id === toolUse.id),
							)
							.map((toolUse) => ({
								type: "tool_result",
								tool_use_id: toolUse.id,
								content: "Task was interrupted before this tool call could be completed.",
							}))

						modifiedApiConversationHistory = existingApiConversationHistory.slice(0, -1) // removes the last user message
						modifiedOldUserContent = [...existingUserContent, ...missingToolResponses]
					} else {
						modifiedApiConversationHistory = existingApiConversationHistory.slice(0, -1)
						modifiedOldUserContent = [...existingUserContent]
					}
				} else {
					modifiedApiConversationHistory = existingApiConversationHistory.slice(0, -1)
					modifiedOldUserContent = [...existingUserContent]
				}
			} else {
				throw new Error("Unexpected: Last message is not a user or assistant message")
			}
		} else {
			throw new Error("Unexpected: No existing API conversation history")
		}

		let newUserContent: Anthropic.Messages.ContentBlockParam[] = [...modifiedOldUserContent]

		const agoText = ((): string => {
			const timestamp = lastClineMessage?.ts ?? Date.now()
			const now = Date.now()
			const diff = now - timestamp
			const minutes = Math.floor(diff / 60000)
			const hours = Math.floor(minutes / 60)
			const days = Math.floor(hours / 24)

			if (days > 0) {
				return `${days} day${days > 1 ? "s" : ""} ago`
			}
			if (hours > 0) {
				return `${hours} hour${hours > 1 ? "s" : ""} ago`
			}
			if (minutes > 0) {
				return `${minutes} minute${minutes > 1 ? "s" : ""} ago`
			}
			return "just now"
		})()

		if (responseText) {
			newUserContent.push({
				type: "text",
				text: `\n\nNew instructions for task continuation:\n<user_message>\n${responseText}\n</user_message>`,
			})
		}

		if (responseImages && responseImages.length > 0) {
			newUserContent.push(...formatResponse.imageBlocks(responseImages))
		}

		// Ensure we have at least some content to send to the API.
		// If newUserContent is empty, add a minimal resumption message.
		if (newUserContent.length === 0) {
			newUserContent.push({
				type: "text",
				text: "[TASK RESUMPTION] Resuming task...",
			})
		}

		await this.overwriteApiConversationHistory(modifiedApiConversationHistory)

		// Task resuming from history item.
		await this.initiateTaskLoop(newUserContent)
	}

	/**
	 * Cancels the current HTTP request if one is in progress.
	 * This immediately aborts the underlying stream rather than waiting for the next chunk.
	 */
	public cancelCurrentRequest(): void {
		if (this.currentRequestAbortController) {
			console.log(`[Task#${this.taskId}.${this.instanceId}] Aborting current HTTP request`)
			this.currentRequestAbortController.abort()
			this.currentRequestAbortController = undefined
		}
	}

	/**
	 * Force emit a final token usage update, ignoring throttle.
	 * Called before task completion or abort to ensure final stats are captured.
	 * Triggers the debounce with current values and immediately flushes to ensure emit.
	 */
	public emitFinalTokenUsageUpdate(): void {
		const tokenUsage = this.getTokenUsage()
		this.debouncedEmitTokenUsage(tokenUsage, this.toolUsage)
		this.debouncedEmitTokenUsage.flush()
	}

	public async abortTask(isAbandoned = false) {
		// Aborting task

		// Will stop any autonomously running promises.
		if (isAbandoned) {
			this.abandoned = true
		}

		this.abort = true

		// Force final token usage update before abort event
		this.emitFinalTokenUsageUpdate()

		this.emit(RooCodeEventName.TaskAborted)

		try {
			this.dispose() // Call the centralized dispose method
		} catch (error) {
			console.error(`Error during task ${this.taskId}.${this.instanceId} disposal:`, error)
			// Don't rethrow - we want abort to always succeed
		}
		// Save the countdown message in the automatic retry or other content.
		try {
			// Save the countdown message in the automatic retry or other content.
			await this.saveClineMessages()
		} catch (error) {
			console.error(`Error saving messages during abort for task ${this.taskId}.${this.instanceId}:`, error)
		}
	}

	public dispose(): void {
		console.log(`[Task#dispose] disposing task ${this.taskId}.${this.instanceId}`)

		// Cancel any in-progress HTTP request
		try {
			this.cancelCurrentRequest()
		} catch (error) {
			console.error("Error cancelling current request:", error)
		}

		// Remove provider profile change listener
		try {
			if (this.providerProfileChangeListener) {
				const provider = this.providerRef.deref()
				if (provider) {
					provider.off(RooCodeEventName.ProviderProfileChanged, this.providerProfileChangeListener)
				}
				this.providerProfileChangeListener = undefined
			}
		} catch (error) {
			console.error("Error removing provider profile change listener:", error)
		}

		// Dispose message queue and remove event listeners.
		try {
			if (this.messageQueueStateChangedHandler) {
				this.messageQueueService.removeListener("stateChanged", this.messageQueueStateChangedHandler)
				this.messageQueueStateChangedHandler = undefined
			}

			this.messageQueueService.dispose()
		} catch (error) {
			console.error("Error disposing message queue:", error)
		}

		// Remove all event listeners to prevent memory leaks.
		try {
			this.removeAllListeners()
		} catch (error) {
			console.error("Error removing event listeners:", error)
		}

		if (this.enableBridge) {
			BridgeOrchestrator.getInstance()
				?.unsubscribeFromTask(this.taskId)
				.catch((error) =>
					console.error(
						`[Task#dispose] BridgeOrchestrator#unsubscribeFromTask() failed: ${error instanceof Error ? error.message : String(error)}`,
					),
				)
		}

		// Release any terminals associated with this task.
		try {
			// Release any terminals associated with this task.
			TerminalRegistry.releaseTerminalsForTask(this.taskId)
		} catch (error) {
			console.error("Error releasing terminals:", error)
		}

		try {
			this.urlContentFetcher.closeBrowser()
		} catch (error) {
			console.error("Error closing URL content fetcher browser:", error)
		}

		try {
			this.browserSession.closeBrowser()
		} catch (error) {
			console.error("Error closing browser session:", error)
		}
		// Also close the Browser Session panel when the task is disposed
		try {
			const provider = this.providerRef.deref()
			if (provider) {
				const { BrowserSessionPanelManager } = require("../webview/BrowserSessionPanelManager")
				BrowserSessionPanelManager.getInstance(provider).dispose()
			}
		} catch (error) {
			console.error("Error closing browser session panel:", error)
		}

		try {
			if (this.rooIgnoreController) {
				this.rooIgnoreController.dispose()
				this.rooIgnoreController = undefined
			}
		} catch (error) {
			console.error("Error disposing RooIgnoreController:", error)
			// This is the critical one for the leak fix.
		}

		try {
			this.fileContextTracker.dispose()
		} catch (error) {
			console.error("Error disposing file context tracker:", error)
		}

		try {
			// If we're not streaming then `abortStream` won't be called.
			if (this.isStreaming && this.diffViewProvider.isEditing) {
				this.diffViewProvider.revertChanges().catch(console.error)
			}
		} catch (error) {
			console.error("Error reverting diff changes:", error)
		}
	}

	// Subtasks
	// Spawn / Wait / Complete

	public async startSubtask(message: string, initialTodos: TodoItem[], mode: string) {
		const provider = this.providerRef.deref()

		if (!provider) {
			throw new Error("Provider not available")
		}

		const child = await (provider as any).delegateParentAndOpenChild({
			parentTaskId: this.taskId,
			message,
			initialTodos,
			mode,
		})
		return child
	}

	/**
	 * Resume parent task after delegation completion without showing resume ask.
	 * Used in metadata-driven subtask flow.
	 *
	 * This method:
	 * - Clears any pending ask states
	 * - Resets abort and streaming flags
	 * - Ensures next API call includes full context
	 * - Immediately continues task loop without user interaction
	 */
	public async resumeAfterDelegation(): Promise<void> {
		// Clear any ask states that might have been set during history load
		this.idleAsk = undefined
		this.resumableAsk = undefined
		this.interactiveAsk = undefined

		// Reset abort and streaming state to ensure clean continuation
		this.abort = false
		this.abandoned = false
		this.abortReason = undefined
		this.didFinishAbortingStream = false
		this.isStreaming = false
		this.isWaitingForFirstChunk = false

		// Ensure next API call includes full context after delegation
		this.skipPrevResponseIdOnce = true

		// Mark as initialized and active
		this.isInitialized = true
		this.emit(RooCodeEventName.TaskActive, this.taskId)

		// Load conversation history if not already loaded
		if (this.apiConversationHistory.length === 0) {
			this.apiConversationHistory = await this.getSavedApiConversationHistory()
		}

		// Add environment details to the existing last user message (which contains the tool_result)
		// This avoids creating a new user message which would cause consecutive user messages
		const environmentDetails = await getEnvironmentDetails(this, true)
		let lastUserMsgIndex = -1
		for (let i = this.apiConversationHistory.length - 1; i >= 0; i--) {
			if (this.apiConversationHistory[i].role === "user") {
				lastUserMsgIndex = i
				break
			}
		}
		if (lastUserMsgIndex >= 0) {
			const lastUserMsg = this.apiConversationHistory[lastUserMsgIndex]
			if (Array.isArray(lastUserMsg.content)) {
				// Remove any existing environment_details blocks before adding fresh ones
				const contentWithoutEnvDetails = lastUserMsg.content.filter(
					(block: Anthropic.Messages.ContentBlockParam) => {
						if (block.type === "text" && typeof block.text === "string") {
							const isEnvironmentDetailsBlock =
								block.text.trim().startsWith("<environment_details>") &&
								block.text.trim().endsWith("</environment_details>")
							return !isEnvironmentDetailsBlock
						}
						return true
					},
				)
				// Add fresh environment details
				lastUserMsg.content = [...contentWithoutEnvDetails, { type: "text" as const, text: environmentDetails }]
			}
		}

		// Save the updated history
		await this.saveApiConversationHistory()

		// Continue task loop - pass empty array to signal no new user content needed
		// The initiateTaskLoop will handle this by skipping user message addition
		await this.initiateTaskLoop([])
	}

	// Task Loop

	private async initiateTaskLoop(userContent: Anthropic.Messages.ContentBlockParam[]): Promise<void> {
		// Kicks off the checkpoints initialization process in the background.
		getCheckpointService(this)

		let nextUserContent = userContent
		let includeFileDetails = true

		this.emit(RooCodeEventName.TaskStarted)

		while (!this.abort) {
			const didEndLoop = await this.recursivelyMakeClineRequests(nextUserContent, includeFileDetails)
			includeFileDetails = false // We only need file details the first time.

			// The way this agentic loop works is that cline will be given a
			// task that he then calls tools to complete. Unless there's an
			// attempt_completion call, we keep responding back to him with his
			// tool's responses until he either attempt_completion or does not
			// use anymore tools. If he does not use anymore tools, we ask him
			// to consider if he's completed the task and then call
			// attempt_completion, otherwise proceed with completing the task.
			// There is a MAX_REQUESTS_PER_TASK limit to prevent infinite
			// requests, but Cline is prompted to finish the task as efficiently
			// as he can.

			if (didEndLoop) {
				// For now a task never 'completes'. This will only happen if
				// the user hits max requests and denies resetting the count.
				break
			} else {
				const modelInfo = this.api.getModel().info
				const state = await this.providerRef.deref()?.getState()
				const toolProtocol = resolveToolProtocol(this.apiConfiguration, modelInfo)
				nextUserContent = [{ type: "text", text: formatResponse.noToolsUsed(toolProtocol) }]
				this.consecutiveMistakeCount++
			}
		}
	}

	public async recursivelyMakeClineRequests(
		userContent: Anthropic.Messages.ContentBlockParam[],
		includeFileDetails: boolean = false,
	): Promise<boolean> {
		interface StackItem {
			userContent: Anthropic.Messages.ContentBlockParam[]
			includeFileDetails: boolean
			retryAttempt?: number
			userMessageWasRemoved?: boolean // Track if user message was removed due to empty response
		}

		const stack: StackItem[] = [{ userContent, includeFileDetails, retryAttempt: 0 }]

		while (stack.length > 0) {
			const currentItem = stack.pop()!
			const currentUserContent = currentItem.userContent
			const currentIncludeFileDetails = currentItem.includeFileDetails

			if (this.abort) {
				throw new Error(`[RooCode#recursivelyMakeRooRequests] task ${this.taskId}.${this.instanceId} aborted`)
			}

			if (this.consecutiveMistakeLimit > 0 && this.consecutiveMistakeCount >= this.consecutiveMistakeLimit) {
				const { response, text, images } = await this.ask(
					"mistake_limit_reached",
					t("common:errors.mistake_limit_guidance"),
				)

				if (response === "messageResponse") {
					currentUserContent.push(
						...[
							{ type: "text" as const, text: formatResponse.tooManyMistakes(text) },
							...formatResponse.imageBlocks(images),
						],
					)

					await this.say("user_feedback", text, images)

					// Track consecutive mistake errors in telemetry.
					TelemetryService.instance.captureConsecutiveMistakeError(this.taskId)
				}

				this.consecutiveMistakeCount = 0
			}

			// Getting verbose details is an expensive operation, it uses ripgrep to
			// top-down build file structure of project which for large projects can
			// take a few seconds. For the best UX we show a placeholder api_req_started
			// message with a loading spinner as this happens.

			// Determine API protocol based on provider and model
			const modelId = getModelId(this.apiConfiguration)
			const apiProtocol = getApiProtocol(this.apiConfiguration.apiProvider, modelId)

			await this.say(
				"api_req_started",
				JSON.stringify({
					apiProtocol,
				}),
			)

			const {
				showRooIgnoredFiles = false,
				includeDiagnosticMessages = true,
				maxDiagnosticMessages = 50,
				maxReadFileLine = -1,
			} = (await this.providerRef.deref()?.getState()) ?? {}

			const parsedUserContent = await processUserContentMentions({
				userContent: currentUserContent,
				cwd: this.cwd,
				urlContentFetcher: this.urlContentFetcher,
				fileContextTracker: this.fileContextTracker,
				rooIgnoreController: this.rooIgnoreController,
				showRooIgnoredFiles,
				includeDiagnosticMessages,
				maxDiagnosticMessages,
				maxReadFileLine,
			})

			const environmentDetails = await getEnvironmentDetails(this, currentIncludeFileDetails)

			// Remove any existing environment_details blocks before adding fresh ones.
			// This prevents duplicate environment details when resuming tasks with XML tool calls,
			// where the old user message content may already contain environment details from the previous session.
			// We check for both opening and closing tags to ensure we're matching complete environment detail blocks,
			// not just mentions of the tag in regular content.
			const contentWithoutEnvDetails = parsedUserContent.filter((block) => {
				if (block.type === "text" && typeof block.text === "string") {
					// Check if this text block is a complete environment_details block
					// by verifying it starts with the opening tag and ends with the closing tag
					const isEnvironmentDetailsBlock =
						block.text.trim().startsWith("<environment_details>") &&
						block.text.trim().endsWith("</environment_details>")
					return !isEnvironmentDetailsBlock
				}
				return true
			})

			// Add environment details as its own text block, separate from tool
			// results.
			let finalUserContent = [...contentWithoutEnvDetails, { type: "text" as const, text: environmentDetails }]
			// Only add user message to conversation history if:
			// 1. This is the first attempt (retryAttempt === 0), AND
			// 2. The original userContent was not empty (empty signals delegation resume where
			//    the user message with tool_result and env details is already in history), OR
			// 3. The message was removed in a previous iteration (userMessageWasRemoved === true)
			// This prevents consecutive user messages while allowing re-add when needed
			const isEmptyUserContent = currentUserContent.length === 0
			const shouldAddUserMessage =
				((currentItem.retryAttempt ?? 0) === 0 && !isEmptyUserContent) || currentItem.userMessageWasRemoved
			if (shouldAddUserMessage) {
				await this.addToApiConversationHistory({ role: "user", content: finalUserContent })
				TelemetryService.instance.captureConversationMessage(this.taskId, "user")
			}

			// Since we sent off a placeholder api_req_started message to update the
			// webview while waiting to actually start the API request (to load
			// potential details for example), we need to update the text of that
			// message.
			const lastApiReqIndex = findLastIndex(this.clineMessages, (m) => m.say === "api_req_started")

			this.clineMessages[lastApiReqIndex].text = JSON.stringify({
				apiProtocol,
			} satisfies ClineApiReqInfo)

			await this.saveClineMessages()
			await this.providerRef.deref()?.postStateToWebview()

			try {
				let cacheWriteTokens = 0
				let cacheReadTokens = 0
				let inputTokens = 0
				let outputTokens = 0
				let totalCost: number | undefined

				// We can't use `api_req_finished` anymore since it's a unique case
				// where it could come after a streaming message (i.e. in the middle
				// of being updated or executed).
				// Fortunately `api_req_finished` was always parsed out for the GUI
				// anyways, so it remains solely for legacy purposes to keep track
				// of prices in tasks from history (it's worth removing a few months
				// from now).
				const updateApiReqMsg = (cancelReason?: ClineApiReqCancelReason, streamingFailedMessage?: string) => {
					if (lastApiReqIndex < 0 || !this.clineMessages[lastApiReqIndex]) {
						return
					}

					const existingData = JSON.parse(this.clineMessages[lastApiReqIndex].text || "{}")

					// Calculate total tokens and cost using provider-aware function
					const modelId = getModelId(this.apiConfiguration)
					const apiProtocol = getApiProtocol(this.apiConfiguration.apiProvider, modelId)

					const costResult =
						apiProtocol === "anthropic"
							? calculateApiCostAnthropic(
									streamModelInfo,
									inputTokens,
									outputTokens,
									cacheWriteTokens,
									cacheReadTokens,
								)
							: calculateApiCostOpenAI(
									streamModelInfo,
									inputTokens,
									outputTokens,
									cacheWriteTokens,
									cacheReadTokens,
								)

					this.clineMessages[lastApiReqIndex].text = JSON.stringify({
						...existingData,
						tokensIn: costResult.totalInputTokens,
						tokensOut: costResult.totalOutputTokens,
						cacheWrites: cacheWriteTokens,
						cacheReads: cacheReadTokens,
						cost: totalCost ?? costResult.totalCost,
						cancelReason,
						streamingFailedMessage,
					} satisfies ClineApiReqInfo)
				}

				const abortStream = async (cancelReason: ClineApiReqCancelReason, streamingFailedMessage?: string) => {
					if (this.diffViewProvider.isEditing) {
						await this.diffViewProvider.revertChanges() // closes diff view
					}

					// if last message is a partial we need to update and save it
					const lastMessage = this.clineMessages.at(-1)

					if (lastMessage && lastMessage.partial) {
						// lastMessage.ts = Date.now() DO NOT update ts since it is used as a key for virtuoso list
						lastMessage.partial = false
						// instead of streaming partialMessage events, we do a save and post like normal to persist to disk
						console.log("updating partial message", lastMessage)
					}

					// Update `api_req_started` to have cancelled and cost, so that
					// we can display the cost of the partial stream and the cancellation reason
					updateApiReqMsg(cancelReason, streamingFailedMessage)
					await this.saveClineMessages()

					// Signals to provider that it can retrieve the saved messages
					// from disk, as abortTask can not be awaited on in nature.
					this.didFinishAbortingStream = true
				}

				// Reset streaming state for each new API request
				this.currentStreamingContentIndex = 0
				this.currentStreamingDidCheckpoint = false
				this.assistantMessageContent = []
				this.didCompleteReadingStream = false
				this.userMessageContent = []
				this.userMessageContentReady = false
				this.didRejectTool = false
				this.didAlreadyUseTool = false
				// Reset tool failure flag for each new assistant turn - this ensures that tool failures
				// only prevent attempt_completion within the same assistant message, not across turns
				// (e.g., if a tool fails, then user sends a message saying "just complete anyway")
				this.didToolFailInCurrentTurn = false
				this.presentAssistantMessageLocked = false
				this.presentAssistantMessageHasPendingUpdates = false
				this.assistantMessageParser?.reset()
				this.streamingToolCallIndices.clear()
				// Clear any leftover streaming tool call state from previous interrupted streams
				NativeToolCallParser.clearAllStreamingToolCalls()
				NativeToolCallParser.clearRawChunkState()

				await this.diffViewProvider.reset()

				// Cache model info once per API request to avoid repeated calls during streaming
				// This is especially important for tools and background usage collection
				this.cachedStreamingModel = this.api.getModel()
				const streamModelInfo = this.cachedStreamingModel.info
				const cachedModelId = this.cachedStreamingModel.id
				const streamProtocol = resolveToolProtocol(this.apiConfiguration, streamModelInfo)
				const shouldUseXmlParser = streamProtocol === "xml"

				// Yields only if the first chunk is successful, otherwise will
				// allow the user to retry the request (most likely due to rate
				// limit error, which gets thrown on the first chunk).
				const stream = this.attemptApiRequest()
				let assistantMessage = ""
				let reasoningMessage = ""
				let pendingGroundingSources: GroundingSource[] = []
				this.isStreaming = true

				try {
					const iterator = stream[Symbol.asyncIterator]()

					// Helper to race iterator.next() with abort signal
					const nextChunkWithAbort = async () => {
						const nextPromise = iterator.next()

						// If we have an abort controller, race it with the next chunk
						if (this.currentRequestAbortController) {
							const abortPromise = new Promise<never>((_, reject) => {
								const signal = this.currentRequestAbortController!.signal
								if (signal.aborted) {
									reject(new Error("Request cancelled by user"))
								} else {
									signal.addEventListener("abort", () => {
										reject(new Error("Request cancelled by user"))
									})
								}
							})
							return await Promise.race([nextPromise, abortPromise])
						}

						// No abort controller, just return the next chunk normally
						return await nextPromise
					}

					let item = await nextChunkWithAbort()
					while (!item.done) {
						const chunk = item.value
						item = await nextChunkWithAbort()
						if (!chunk) {
							// Sometimes chunk is undefined, no idea that can cause
							// it, but this workaround seems to fix it.
							continue
						}

						switch (chunk.type) {
							case "reasoning": {
								reasoningMessage += chunk.text
								// Only apply formatting if the message contains sentence-ending punctuation followed by **
								let formattedReasoning = reasoningMessage
								if (reasoningMessage.includes("**")) {
									// Add line breaks before **Title** patterns that appear after sentence endings
									// This targets section headers like "...end of sentence.**Title Here**"
									// Handles periods, exclamation marks, and question marks
									formattedReasoning = reasoningMessage.replace(
										/([.!?])\*\*([^*\n]+)\*\*/g,
										"$1\n\n**$2**",
									)
								}
								await this.say("reasoning", formattedReasoning, undefined, true)
								break
							}
							case "usage":
								inputTokens += chunk.inputTokens
								outputTokens += chunk.outputTokens
								cacheWriteTokens += chunk.cacheWriteTokens ?? 0
								cacheReadTokens += chunk.cacheReadTokens ?? 0
								totalCost = chunk.totalCost
								break
							case "grounding":
								// Handle grounding sources separately from regular content
								// to prevent state persistence issues - store them separately
								if (chunk.sources && chunk.sources.length > 0) {
									pendingGroundingSources.push(...chunk.sources)
								}
								break
							case "tool_call_partial": {
								// Process raw tool call chunk through NativeToolCallParser
								// which handles tracking, buffering, and emits events
								const events = NativeToolCallParser.processRawChunk({
									index: chunk.index,
									id: chunk.id,
									name: chunk.name,
									arguments: chunk.arguments,
								})

								for (const event of events) {
									if (event.type === "tool_call_start") {
										// Initialize streaming in NativeToolCallParser
										NativeToolCallParser.startStreamingToolCall(event.id, event.name as ToolName)

										// Before adding a new tool, finalize any preceding text block
										// This prevents the text block from blocking tool presentation
										const lastBlock =
											this.assistantMessageContent[this.assistantMessageContent.length - 1]
										if (lastBlock?.type === "text" && lastBlock.partial) {
											lastBlock.partial = false
										}

										// Track the index where this tool will be stored
										const toolUseIndex = this.assistantMessageContent.length
										this.streamingToolCallIndices.set(event.id, toolUseIndex)

										// Create initial partial tool use
										const partialToolUse: ToolUse = {
											type: "tool_use",
											name: event.name as ToolName,
											params: {},
											partial: true,
										}

										// Store the ID for native protocol
										;(partialToolUse as any).id = event.id

										// Add to content and present
										this.assistantMessageContent.push(partialToolUse)
										this.userMessageContentReady = false
										presentAssistantMessage(this)
									} else if (event.type === "tool_call_delta") {
										// Process chunk using streaming JSON parser
										const partialToolUse = NativeToolCallParser.processStreamingChunk(
											event.id,
											event.delta,
										)

										if (partialToolUse) {
											// Get the index for this tool call
											const toolUseIndex = this.streamingToolCallIndices.get(event.id)
											if (toolUseIndex !== undefined) {
												// Store the ID for native protocol
												;(partialToolUse as any).id = event.id

												// Update the existing tool use with new partial data
												this.assistantMessageContent[toolUseIndex] = partialToolUse

												// Present updated tool use
												presentAssistantMessage(this)
											}
										}
									} else if (event.type === "tool_call_end") {
										// Finalize the streaming tool call
										const finalToolUse = NativeToolCallParser.finalizeStreamingToolCall(event.id)

										// Get the index for this tool call
										const toolUseIndex = this.streamingToolCallIndices.get(event.id)

										if (finalToolUse) {
											// Store the tool call ID
											;(finalToolUse as any).id = event.id

											// Get the index and replace partial with final
											if (toolUseIndex !== undefined) {
												this.assistantMessageContent[toolUseIndex] = finalToolUse
											}

											// Clean up tracking
											this.streamingToolCallIndices.delete(event.id)

											// Mark that we have new content to process
											this.userMessageContentReady = false

											// Present the finalized tool call
											presentAssistantMessage(this)
										} else if (toolUseIndex !== undefined) {
											// finalizeStreamingToolCall returned null (malformed JSON or missing args)
											// We still need to mark the tool as non-partial so it gets executed
											// The tool's validation will catch any missing required parameters
											const existingToolUse = this.assistantMessageContent[toolUseIndex]
											if (existingToolUse && existingToolUse.type === "tool_use") {
												existingToolUse.partial = false
												// Ensure it has the ID for native protocol
												;(existingToolUse as any).id = event.id
											}

											// Clean up tracking
											this.streamingToolCallIndices.delete(event.id)

											// Mark that we have new content to process
											this.userMessageContentReady = false

											// Present the tool call - validation will handle missing params
											presentAssistantMessage(this)
										}
									}
								}
								break
							}

							case "tool_call": {
								// Legacy: Handle complete tool calls (for backward compatibility)
								// Convert native tool call to ToolUse format
								const toolUse = NativeToolCallParser.parseToolCall({
									id: chunk.id,
									name: chunk.name as ToolName,
									arguments: chunk.arguments,
								})

								if (!toolUse) {
									console.error(`Failed to parse tool call for task ${this.taskId}:`, chunk)
									break
								}

								// Store the tool call ID on the ToolUse object for later reference
								// This is needed to create tool_result blocks that reference the correct tool_use_id
								toolUse.id = chunk.id

								// Add the tool use to assistant message content
								this.assistantMessageContent.push(toolUse)

								// Mark that we have new content to process
								this.userMessageContentReady = false

								// Present the tool call to user - presentAssistantMessage will execute
								// tools sequentially and accumulate all results in userMessageContent
								presentAssistantMessage(this)
								break
							}
							case "text": {
								assistantMessage += chunk.text

								// Use the protocol determined at the start of streaming
								// Don't rely solely on parser existence - parser might exist from previous state
								if (shouldUseXmlParser && this.assistantMessageParser) {
									// XML protocol: Parse raw assistant message chunk into content blocks
									const prevLength = this.assistantMessageContent.length
									this.assistantMessageContent = this.assistantMessageParser.processChunk(chunk.text)

									if (this.assistantMessageContent.length > prevLength) {
										// New content we need to present, reset to
										// false in case previous content set this to true.
										this.userMessageContentReady = false
									}

									// Present content to user.
									presentAssistantMessage(this)
								} else {
									// Native protocol: Text chunks are plain text, not XML tool calls
									// Create or update a text content block directly
									const lastBlock =
										this.assistantMessageContent[this.assistantMessageContent.length - 1]

									if (lastBlock?.type === "text" && lastBlock.partial) {
										// Update existing partial text block
										lastBlock.content = assistantMessage
									} else {
										// Create new text block
										this.assistantMessageContent.push({
											type: "text",
											content: assistantMessage,
											partial: true,
										})
										this.userMessageContentReady = false
									}

									// Present content to user
									presentAssistantMessage(this)
								}
								break
							}
						}

						if (this.abort) {
							console.log(`aborting stream, this.abandoned = ${this.abandoned}`)

							if (!this.abandoned) {
								// Only need to gracefully abort if this instance
								// isn't abandoned (sometimes OpenRouter stream
								// hangs, in which case this would affect future
								// instances of Cline).
								await abortStream("user_cancelled")
							}

							break // Aborts the stream.
						}

						if (this.didRejectTool) {
							// `userContent` has a tool rejection, so interrupt the
							// assistant's response to present the user's feedback.
							assistantMessage += "\n\n[Response interrupted by user feedback]"
							// Instead of setting this preemptively, we allow the
							// present iterator to finish and set
							// userMessageContentReady when its ready.
							// this.userMessageContentReady = true
							break
						}

						if (this.didAlreadyUseTool) {
							assistantMessage +=
								"\n\n[Response interrupted by a tool use result. Only one tool may be used at a time and should be placed at the end of the message.]"
							break
						}
					}

					// Finalize any remaining streaming tool calls that weren't explicitly ended
					// This is critical for MCP tools which need tool_call_end events to be properly
					// converted from ToolUse to McpToolUse via finalizeStreamingToolCall()
					const finalizeEvents = NativeToolCallParser.finalizeRawChunks()
					for (const event of finalizeEvents) {
						if (event.type === "tool_call_end") {
							// Finalize the streaming tool call
							const finalToolUse = NativeToolCallParser.finalizeStreamingToolCall(event.id)

							// Get the index for this tool call
							const toolUseIndex = this.streamingToolCallIndices.get(event.id)

							if (finalToolUse) {
								// Store the tool call ID
								;(finalToolUse as any).id = event.id

								// Get the index and replace partial with final
								if (toolUseIndex !== undefined) {
									this.assistantMessageContent[toolUseIndex] = finalToolUse
								}

								// Clean up tracking
								this.streamingToolCallIndices.delete(event.id)

								// Mark that we have new content to process
								this.userMessageContentReady = false

								// Present the finalized tool call
								presentAssistantMessage(this)
							} else if (toolUseIndex !== undefined) {
								// finalizeStreamingToolCall returned null (malformed JSON or missing args)
								// We still need to mark the tool as non-partial so it gets executed
								// The tool's validation will catch any missing required parameters
								const existingToolUse = this.assistantMessageContent[toolUseIndex]
								if (existingToolUse && existingToolUse.type === "tool_use") {
									existingToolUse.partial = false
									// Ensure it has the ID for native protocol
									;(existingToolUse as any).id = event.id
								}

								// Clean up tracking
								this.streamingToolCallIndices.delete(event.id)

								// Mark that we have new content to process
								this.userMessageContentReady = false

								// Present the tool call - validation will handle missing params
								presentAssistantMessage(this)
							}
						}
					}

					// Create a copy of current token values to avoid race conditions
					const currentTokens = {
						input: inputTokens,
						output: outputTokens,
						cacheWrite: cacheWriteTokens,
						cacheRead: cacheReadTokens,
						total: totalCost,
					}

					const drainStreamInBackgroundToFindAllUsage = async (apiReqIndex: number) => {
						const timeoutMs = DEFAULT_USAGE_COLLECTION_TIMEOUT_MS
						const startTime = performance.now()
						const modelId = getModelId(this.apiConfiguration)

						// Local variables to accumulate usage data without affecting the main flow
						let bgInputTokens = currentTokens.input
						let bgOutputTokens = currentTokens.output
						let bgCacheWriteTokens = currentTokens.cacheWrite
						let bgCacheReadTokens = currentTokens.cacheRead
						let bgTotalCost = currentTokens.total

						// Helper function to capture telemetry and update messages
						const captureUsageData = async (
							tokens: {
								input: number
								output: number
								cacheWrite: number
								cacheRead: number
								total?: number
							},
							messageIndex: number = apiReqIndex,
						) => {
							if (
								tokens.input > 0 ||
								tokens.output > 0 ||
								tokens.cacheWrite > 0 ||
								tokens.cacheRead > 0
							) {
								// Update the shared variables atomically
								inputTokens = tokens.input
								outputTokens = tokens.output
								cacheWriteTokens = tokens.cacheWrite
								cacheReadTokens = tokens.cacheRead
								totalCost = tokens.total

								// Update the API request message with the latest usage data
								updateApiReqMsg()
								await this.saveClineMessages()

								// Update the specific message in the webview
								const apiReqMessage = this.clineMessages[messageIndex]
								if (apiReqMessage) {
									await this.updateClineMessage(apiReqMessage)
								}

								// Capture telemetry with provider-aware cost calculation
								const modelId = getModelId(this.apiConfiguration)
								const apiProtocol = getApiProtocol(this.apiConfiguration.apiProvider, modelId)

								// Use the appropriate cost function based on the API protocol
								const costResult =
									apiProtocol === "anthropic"
										? calculateApiCostAnthropic(
												streamModelInfo,
												tokens.input,
												tokens.output,
												tokens.cacheWrite,
												tokens.cacheRead,
											)
										: calculateApiCostOpenAI(
												streamModelInfo,
												tokens.input,
												tokens.output,
												tokens.cacheWrite,
												tokens.cacheRead,
											)

								TelemetryService.instance.captureLlmCompletion(this.taskId, {
									inputTokens: costResult.totalInputTokens,
									outputTokens: costResult.totalOutputTokens,
									cacheWriteTokens: tokens.cacheWrite,
									cacheReadTokens: tokens.cacheRead,
									cost: tokens.total ?? costResult.totalCost,
								})
							}
						}

						try {
							// Continue processing the original stream from where the main loop left off
							let usageFound = false
							let chunkCount = 0

							// Use the same iterator that the main loop was using
							while (!item.done) {
								// Check for timeout
								if (performance.now() - startTime > timeoutMs) {
									console.warn(
										`[Background Usage Collection] Timed out after ${timeoutMs}ms for model: ${modelId}, processed ${chunkCount} chunks`,
									)
									// Clean up the iterator before breaking
									if (iterator.return) {
										await iterator.return(undefined)
									}
									break
								}

								const chunk = item.value
								item = await iterator.next()
								chunkCount++

								if (chunk && chunk.type === "usage") {
									usageFound = true
									bgInputTokens += chunk.inputTokens
									bgOutputTokens += chunk.outputTokens
									bgCacheWriteTokens += chunk.cacheWriteTokens ?? 0
									bgCacheReadTokens += chunk.cacheReadTokens ?? 0
									bgTotalCost = chunk.totalCost
								}
							}

							if (
								usageFound ||
								bgInputTokens > 0 ||
								bgOutputTokens > 0 ||
								bgCacheWriteTokens > 0 ||
								bgCacheReadTokens > 0
							) {
								// We have usage data either from a usage chunk or accumulated tokens
								await captureUsageData(
									{
										input: bgInputTokens,
										output: bgOutputTokens,
										cacheWrite: bgCacheWriteTokens,
										cacheRead: bgCacheReadTokens,
										total: bgTotalCost,
									},
									lastApiReqIndex,
								)
							} else {
								console.warn(
									`[Background Usage Collection] Suspicious: request ${apiReqIndex} is complete, but no usage info was found. Model: ${modelId}`,
								)
							}
						} catch (error) {
							console.error("Error draining stream for usage data:", error)
							// Still try to capture whatever usage data we have collected so far
							if (
								bgInputTokens > 0 ||
								bgOutputTokens > 0 ||
								bgCacheWriteTokens > 0 ||
								bgCacheReadTokens > 0
							) {
								await captureUsageData(
									{
										input: bgInputTokens,
										output: bgOutputTokens,
										cacheWrite: bgCacheWriteTokens,
										cacheRead: bgCacheReadTokens,
										total: bgTotalCost,
									},
									lastApiReqIndex,
								)
							}
						}
					}

					// Start the background task and handle any errors
					drainStreamInBackgroundToFindAllUsage(lastApiReqIndex).catch((error) => {
						console.error("Background usage collection failed:", error)
					})
				} catch (error) {
					// Abandoned happens when extension is no longer waiting for the
					// Cline instance to finish aborting (error is thrown here when
					// any function in the for loop throws due to this.abort).
					if (!this.abandoned) {
						// Determine cancellation reason
						const cancelReason: ClineApiReqCancelReason = this.abort ? "user_cancelled" : "streaming_failed"

						const streamingFailedMessage = this.abort
							? undefined
							: (error.message ?? JSON.stringify(serializeError(error), null, 2))

						// Clean up partial state
						await abortStream(cancelReason, streamingFailedMessage)

						if (this.abort) {
							// User cancelled - abort the entire task
							this.abortReason = cancelReason
							await this.abortTask()
						} else {
							// Stream failed - log the error and retry with the same content
							// The existing rate limiting will prevent rapid retries
							console.error(
								`[Task#${this.taskId}.${this.instanceId}] Stream failed, will retry: ${streamingFailedMessage}`,
							)

							// Apply exponential backoff similar to first-chunk errors when auto-resubmit is enabled
							const stateForBackoff = await this.providerRef.deref()?.getState()
							if (stateForBackoff?.autoApprovalEnabled && stateForBackoff?.alwaysApproveResubmit) {
								await this.backoffAndAnnounce(
									currentItem.retryAttempt ?? 0,
									error,
									streamingFailedMessage,
								)

								// Check if task was aborted during the backoff
								if (this.abort) {
									console.log(
										`[Task#${this.taskId}.${this.instanceId}] Task aborted during mid-stream retry backoff`,
									)
									// Abort the entire task
									this.abortReason = "user_cancelled"
									await this.abortTask()
									break
								}
							}

							// Push the same content back onto the stack to retry, incrementing the retry attempt counter
							stack.push({
								userContent: currentUserContent,
								includeFileDetails: false,
								retryAttempt: (currentItem.retryAttempt ?? 0) + 1,
							})

							// Continue to retry the request
							continue
						}
					}
				} finally {
					this.isStreaming = false
					// Clean up the abort controller when streaming completes
					this.currentRequestAbortController = undefined
				}

				// Need to call here in case the stream was aborted.
				if (this.abort || this.abandoned) {
					throw new Error(
						`[RooCode#recursivelyMakeRooRequests] task ${this.taskId}.${this.instanceId} aborted`,
					)
				}

				this.didCompleteReadingStream = true

				// Set any blocks to be complete to allow `presentAssistantMessage`
				// to finish and set `userMessageContentReady` to true.
				// (Could be a text block that had no subsequent tool uses, or a
				// text block at the very end, or an invalid tool use, etc. Whatever
				// the case, `presentAssistantMessage` relies on these blocks either
				// to be completed or the user to reject a block in order to proceed
				// and eventually set userMessageContentReady to true.)
				const partialBlocks = this.assistantMessageContent.filter((block) => block.partial)
				partialBlocks.forEach((block) => (block.partial = false))

				// Can't just do this b/c a tool could be in the middle of executing.
				// this.assistantMessageContent.forEach((e) => (e.partial = false))

				// Now that the stream is complete, finalize any remaining partial content blocks (XML protocol only)
				// Use the protocol determined at the start of streaming
				if (shouldUseXmlParser && this.assistantMessageParser) {
					this.assistantMessageParser.finalizeContentBlocks()
					const parsedBlocks = this.assistantMessageParser.getContentBlocks()
					// For XML protocol: Use only parsed blocks (includes both text and tool_use parsed from XML)
					this.assistantMessageContent = parsedBlocks
				}

				// Present any partial blocks that were just completed
				// For XML protocol: includes both text and tool_use blocks parsed from the text stream
				// For native protocol: tool_use blocks were already presented during streaming via
				// tool_call_partial events, but we still need to present them if they exist (e.g., malformed)
				if (partialBlocks.length > 0) {
					// If there is content to update then it will complete and
					// update `this.userMessageContentReady` to true, which we
					// `pWaitFor` before making the next request.
					presentAssistantMessage(this)
				}

				// Note: updateApiReqMsg() is now called from within drainStreamInBackgroundToFindAllUsage
				// to ensure usage data is captured even when the stream is interrupted. The background task
				// uses local variables to accumulate usage data before atomically updating the shared state.

				// Complete the reasoning message if it exists
				// We can't use say() here because the reasoning message may not be the last message
				// (other messages like text blocks or tool uses may have been added after it during streaming)
				if (reasoningMessage) {
					const lastReasoningIndex = findLastIndex(
						this.clineMessages,
						(m) => m.type === "say" && m.say === "reasoning",
					)

					if (lastReasoningIndex !== -1 && this.clineMessages[lastReasoningIndex].partial) {
						this.clineMessages[lastReasoningIndex].partial = false
						await this.updateClineMessage(this.clineMessages[lastReasoningIndex])
					}
				}

				await this.saveClineMessages()
				await this.providerRef.deref()?.postStateToWebview()

				// Reset parser after each complete conversation round (XML protocol only)
				this.assistantMessageParser?.reset()

				// Now add to apiConversationHistory.
				// Need to save assistant responses to file before proceeding to
				// tool use since user can exit at any moment and we wouldn't be
				// able to save the assistant's response.
				let didEndLoop = false

				// Check if we have any content to process (text or tool uses)
				const hasTextContent = assistantMessage.length > 0
				const hasToolUses = this.assistantMessageContent.some(
					(block) => block.type === "tool_use" || block.type === "mcp_tool_use",
				)

				if (hasTextContent || hasToolUses) {
					// Display grounding sources to the user if they exist
					if (pendingGroundingSources.length > 0) {
						const citationLinks = pendingGroundingSources.map((source, i) => `[${i + 1}](${source.url})`)
						const sourcesText = `${t("common:gemini.sources")} ${citationLinks.join(", ")}`

						await this.say("text", sourcesText, undefined, false, undefined, undefined, {
							isNonInteractive: true,
						})
					}

					// Build the assistant message content array
					const assistantContent: Array<Anthropic.TextBlockParam | Anthropic.ToolUseBlockParam> = []

					// Add text content if present
					if (assistantMessage) {
						assistantContent.push({
							type: "text" as const,
							text: assistantMessage,
						})
					}

					// Add tool_use blocks with their IDs for native protocol
					// This handles both regular ToolUse and McpToolUse types
					const toolUseBlocks = this.assistantMessageContent.filter(
						(block) => block.type === "tool_use" || block.type === "mcp_tool_use",
					)
					for (const block of toolUseBlocks) {
						if (block.type === "mcp_tool_use") {
							// McpToolUse already has the original tool name (e.g., "mcp_serverName_toolName")
							// The arguments are the raw tool arguments (matching the simplified schema)
							const mcpBlock = block as import("../../shared/tools").McpToolUse
							if (mcpBlock.id) {
								assistantContent.push({
									type: "tool_use" as const,
									id: mcpBlock.id,
									name: mcpBlock.name, // Original dynamic name
									input: mcpBlock.arguments, // Direct tool arguments
								})
							}
						} else {
							// Regular ToolUse
							const toolUse = block as import("../../shared/tools").ToolUse
							const toolCallId = toolUse.id
							if (toolCallId) {
								// nativeArgs is already in the correct API format for all tools
								const input = toolUse.nativeArgs || toolUse.params

								assistantContent.push({
									type: "tool_use" as const,
									id: toolCallId,
									name: toolUse.name,
									input,
								})
							}
						}
					}

					await this.addToApiConversationHistory(
						{
							role: "assistant",
							content: assistantContent,
						},
						reasoningMessage || undefined,
					)

					TelemetryService.instance.captureConversationMessage(this.taskId, "assistant")

					// NOTE: This comment is here for future reference - this was a
					// workaround for `userMessageContent` not getting set to true.
					// It was due to it not recursively calling for partial blocks
					// when `didRejectTool`, so it would get stuck waiting for a
					// partial block to complete before it could continue.
					// In case the content blocks finished it may be the api stream
					// finished after the last parsed content block was executed, so
					// we are able to detect out of bounds and set
					// `userMessageContentReady` to true (note you should not call
					// `presentAssistantMessage` since if the last block i
					//  completed it will be presented again).
					// const completeBlocks = this.assistantMessageContent.filter((block) => !block.partial) // If there are any partial blocks after the stream ended we can consider them invalid.
					// if (this.currentStreamingContentIndex >= completeBlocks.length) {
					// 	this.userMessageContentReady = true
					// }

					await pWaitFor(() => this.userMessageContentReady)

					// If the model did not tool use, then we need to tell it to
					// either use a tool or attempt_completion.
					const didToolUse = this.assistantMessageContent.some(
						(block) => block.type === "tool_use" || block.type === "mcp_tool_use",
					)

					if (!didToolUse) {
						const modelInfo = this.api.getModel().info
						const state = await this.providerRef.deref()?.getState()
						const toolProtocol = resolveToolProtocol(this.apiConfiguration, modelInfo)
						this.userMessageContent.push({ type: "text", text: formatResponse.noToolsUsed(toolProtocol) })
						this.consecutiveMistakeCount++
					}

					// Push to stack if there's content OR if we're paused waiting for a subtask.
					// When paused, we push an empty item so the loop continues to the pause check.
					if (this.userMessageContent.length > 0 || this.isPaused) {
						stack.push({
							userContent: [...this.userMessageContent], // Create a copy to avoid mutation issues
							includeFileDetails: false, // Subsequent iterations don't need file details
						})

						// Add periodic yielding to prevent blocking
						await new Promise((resolve) => setImmediate(resolve))
					}
					// Continue to next iteration instead of setting didEndLoop from recursive call
					continue
				} else {
					// If there's no assistant_responses, that means we got no text
					// or tool_use content blocks from API which we should assume is
					// an error.

					// IMPORTANT: For native tool protocol, we already added the user message to
					// apiConversationHistory at line 1876. Since the assistant failed to respond,
					// we need to remove that message before retrying to avoid having two consecutive
					// user messages (which would cause tool_result validation errors).
					let state = await this.providerRef.deref()?.getState()
					if (
						isNativeProtocol(resolveToolProtocol(this.apiConfiguration, this.api.getModel().info)) &&
						this.apiConversationHistory.length > 0
					) {
						const lastMessage = this.apiConversationHistory[this.apiConversationHistory.length - 1]
						if (lastMessage.role === "user") {
							// Remove the last user message that we added earlier
							this.apiConversationHistory.pop()
						}
					}

					// Check if we should auto-retry or prompt the user
					// Reuse the state variable from above
					if (state?.autoApprovalEnabled && state?.alwaysApproveResubmit) {
						// Auto-retry with backoff - don't persist failure message when retrying
						const errorMsg =
							"Unexpected API Response: The language model did not provide any assistant messages. This may indicate an issue with the API or the model's output."

						await this.backoffAndAnnounce(
							currentItem.retryAttempt ?? 0,
							new Error("Empty assistant response"),
							errorMsg,
						)

						// Check if task was aborted during the backoff
						if (this.abort) {
							console.log(
								`[Task#${this.taskId}.${this.instanceId}] Task aborted during empty-assistant retry backoff`,
							)
							break
						}

						// Push the same content back onto the stack to retry, incrementing the retry attempt counter
						// Mark that user message was removed so it gets re-added on retry
						stack.push({
							userContent: currentUserContent,
							includeFileDetails: false,
							retryAttempt: (currentItem.retryAttempt ?? 0) + 1,
							userMessageWasRemoved: true,
						})

						// Continue to retry the request
						continue
					} else {
						// Prompt the user for retry decision
						const { response } = await this.ask(
							"api_req_failed",
							"The model returned no assistant messages. This may indicate an issue with the API or the model's output.",
						)

						if (response === "yesButtonClicked") {
							await this.say("api_req_retried")

							// Push the same content back to retry
							stack.push({
								userContent: currentUserContent,
								includeFileDetails: false,
								retryAttempt: (currentItem.retryAttempt ?? 0) + 1,
							})

							// Continue to retry the request
							continue
						} else {
							// User declined to retry
							// For native protocol, re-add the user message we removed
							// Reuse the state variable from above
							if (
								isNativeProtocol(resolveToolProtocol(this.apiConfiguration, this.api.getModel().info))
							) {
								await this.addToApiConversationHistory({
									role: "user",
									content: currentUserContent,
								})
							}

							await this.say(
								"error",
								"Unexpected API Response: The language model did not provide any assistant messages. This may indicate an issue with the API or the model's output.",
							)

							await this.addToApiConversationHistory({
								role: "assistant",
								content: [{ type: "text", text: "Failure: I did not provide a response." }],
							})
						}
					}
				}

				// If we reach here without continuing, return false (will always be false for now)
				return false
			} catch (error) {
				// This should never happen since the only thing that can throw an
				// error is the attemptApiRequest, which is wrapped in a try catch
				// that sends an ask where if noButtonClicked, will clear current
				// task and destroy this instance. However to avoid unhandled
				// promise rejection, we will end this loop which will end execution
				// of this instance (see `startTask`).
				return true // Needs to be true so parent loop knows to end task.
			}
		}

		// If we exit the while loop normally (stack is empty), return false
		return false
	}

	private async getSystemPrompt(): Promise<string> {
		const { mcpEnabled } = (await this.providerRef.deref()?.getState()) ?? {}
		let mcpHub: McpHub | undefined
		if (mcpEnabled ?? true) {
			const provider = this.providerRef.deref()

			if (!provider) {
				throw new Error("Provider reference lost during view transition")
			}

			// Wait for MCP hub initialization through McpServerManager
			mcpHub = await McpServerManager.getInstance(provider.context, provider)

			if (!mcpHub) {
				throw new Error("Failed to get MCP hub from server manager")
			}

			// Wait for MCP servers to be connected before generating system prompt
			await pWaitFor(() => !mcpHub!.isConnecting, { timeout: 10_000 }).catch(() => {
				console.error("MCP servers failed to connect in time")
			})
		}

		const rooIgnoreInstructions = this.rooIgnoreController?.getInstructions()

		const state = await this.providerRef.deref()?.getState()

		const {
			browserViewportSize,
			mode,
			customModes,
			customModePrompts,
			customInstructions,
			experiments,
			enableMcpServerCreation,
			browserToolEnabled,
			language,
			maxConcurrentFileReads,
			maxReadFileLine,
			apiConfiguration,
		} = state ?? {}

		return await (async () => {
			const provider = this.providerRef.deref()

			if (!provider) {
				throw new Error("Provider not available")
			}

			// Align browser tool enablement with generateSystemPrompt: require model image support,
			// mode to include the browser group, and the user setting to be enabled.
			const modeConfig = getModeBySlug(mode ?? defaultModeSlug, customModes)
			const modeSupportsBrowser = modeConfig?.groups.some((group) => getGroupName(group) === "browser") ?? false

			// Check if model supports browser capability (images)
			const modelInfo = this.api.getModel().info
			const modelSupportsBrowser = (modelInfo as any)?.supportsImages === true

			const canUseBrowserTool = modelSupportsBrowser && modeSupportsBrowser && (browserToolEnabled ?? true)

			// Resolve the tool protocol based on profile, model, and provider settings
			const toolProtocol = resolveToolProtocol(apiConfiguration ?? this.apiConfiguration, modelInfo)

			return SYSTEM_PROMPT(
				provider.context,
				this.cwd,
				canUseBrowserTool,
				mcpHub,
				this.diffStrategy,
				browserViewportSize ?? "900x600",
				mode ?? defaultModeSlug,
				customModePrompts,
				customModes,
				customInstructions,
				this.diffEnabled,
				experiments,
				enableMcpServerCreation,
				language,
				rooIgnoreInstructions,
				maxReadFileLine !== -1,
				{
					maxConcurrentFileReads: maxConcurrentFileReads ?? 5,
					todoListEnabled: apiConfiguration?.todoListEnabled ?? true,
					browserToolEnabled: browserToolEnabled ?? true,
					useAgentRules:
						vscode.workspace.getConfiguration(Package.name).get<boolean>("useAgentRules") ?? true,
					newTaskRequireTodos: vscode.workspace
						.getConfiguration(Package.name)
						.get<boolean>("newTaskRequireTodos", false),
					toolProtocol,
					isStealthModel: modelInfo?.isStealthModel,
				},
				undefined, // todoList
				this.api.getModel().id,
			)
		})()
	}

	private getCurrentProfileId(state: any): string {
		return (
			state?.listApiConfigMeta?.find((profile: any) => profile.name === state?.currentApiConfigName)?.id ??
			"default"
		)
	}

	private async handleContextWindowExceededError(): Promise<void> {
		const state = await this.providerRef.deref()?.getState()
		const { profileThresholds = {} } = state ?? {}

		const { contextTokens } = this.getTokenUsage()
		const modelInfo = this.api.getModel().info

		const maxTokens = getModelMaxOutputTokens({
			modelId: this.api.getModel().id,
			model: modelInfo,
			settings: this.apiConfiguration,
		})

		const contextWindow = modelInfo.contextWindow

		// Get the current profile ID using the helper method
		const currentProfileId = this.getCurrentProfileId(state)

		// Log the context window error for debugging
		console.warn(
			`[Task#${this.taskId}] Context window exceeded for model ${this.api.getModel().id}. ` +
				`Current tokens: ${contextTokens}, Context window: ${contextWindow}. ` +
				`Forcing truncation to ${FORCED_CONTEXT_REDUCTION_PERCENT}% of current context.`,
		)

		// Determine if we're using native tool protocol for proper message handling
		const protocol = resolveToolProtocol(this.apiConfiguration, modelInfo)
		const useNativeTools = isNativeProtocol(protocol)

		// Send condenseTaskContextStarted to show in-progress indicator
		await this.providerRef.deref()?.postMessageToWebview({ type: "condenseTaskContextStarted", text: this.taskId })

		// Force aggressive truncation by keeping only 75% of the conversation history
		const truncateResult = await manageContext({
			messages: this.apiConversationHistory,
			totalTokens: contextTokens || 0,
			maxTokens,
			contextWindow,
			apiHandler: this.api,
			autoCondenseContext: true,
			autoCondenseContextPercent: FORCED_CONTEXT_REDUCTION_PERCENT,
			systemPrompt: await this.getSystemPrompt(),
			taskId: this.taskId,
			profileThresholds,
			currentProfileId,
			useNativeTools,
		})

		if (truncateResult.messages !== this.apiConversationHistory) {
			await this.overwriteApiConversationHistory(truncateResult.messages)
		}

		if (truncateResult.summary) {
			const { summary, cost, prevContextTokens, newContextTokens = 0 } = truncateResult
			const contextCondense: ContextCondense = { summary, cost, newContextTokens, prevContextTokens }
			await this.say(
				"condense_context",
				undefined /* text */,
				undefined /* images */,
				false /* partial */,
				undefined /* checkpoint */,
				undefined /* progressStatus */,
				{ isNonInteractive: true } /* options */,
				contextCondense,
			)
		} else if (truncateResult.truncationId) {
			// Sliding window truncation occurred (fallback when condensing fails or is disabled)
			const contextTruncation: ContextTruncation = {
				truncationId: truncateResult.truncationId,
				messagesRemoved: truncateResult.messagesRemoved ?? 0,
				prevContextTokens: truncateResult.prevContextTokens,
				newContextTokens: truncateResult.newContextTokensAfterTruncation ?? 0,
			}
			await this.say(
				"sliding_window_truncation",
				undefined /* text */,
				undefined /* images */,
				false /* partial */,
				undefined /* checkpoint */,
				undefined /* progressStatus */,
				{ isNonInteractive: true } /* options */,
				undefined /* contextCondense */,
				contextTruncation,
			)
		}

		// Notify webview that context management is complete (removes in-progress spinner)
		await this.providerRef.deref()?.postMessageToWebview({ type: "condenseTaskContextResponse", text: this.taskId })
	}

	public async *attemptApiRequest(retryAttempt: number = 0): ApiStream {
		const state = await this.providerRef.deref()?.getState()

		const {
			apiConfiguration,
			autoApprovalEnabled,
			alwaysApproveResubmit,
			requestDelaySeconds,
			mode,
			autoCondenseContext = true,
			autoCondenseContextPercent = 100,
			profileThresholds = {},
		} = state ?? {}

		// Get condensing configuration for automatic triggers.
		const customCondensingPrompt = state?.customCondensingPrompt
		const condensingApiConfigId = state?.condensingApiConfigId
		const listApiConfigMeta = state?.listApiConfigMeta

		// Determine API handler to use for condensing.
		let condensingApiHandler: ApiHandler | undefined

		if (condensingApiConfigId && listApiConfigMeta && Array.isArray(listApiConfigMeta)) {
			// Find matching config by ID
			const matchingConfig = listApiConfigMeta.find((config) => config.id === condensingApiConfigId)

			if (matchingConfig) {
				const profile = await this.providerRef.deref()?.providerSettingsManager.getProfile({
					id: condensingApiConfigId,
				})

				// Ensure profile and apiProvider exist before trying to build handler.
				if (profile && profile.apiProvider) {
					condensingApiHandler = buildApiHandler(profile)
				}
			}
		}

		let rateLimitDelay = 0

		// Use the shared timestamp so that subtasks respect the same rate-limit
		// window as their parent tasks.
		if (Task.lastGlobalApiRequestTime) {
			const now = performance.now()
			const timeSinceLastRequest = now - Task.lastGlobalApiRequestTime
			const rateLimit = apiConfiguration?.rateLimitSeconds || 0
			rateLimitDelay = Math.ceil(Math.min(rateLimit, Math.max(0, rateLimit * 1000 - timeSinceLastRequest) / 1000))
		}

		// Only show rate limiting message if we're not retrying. If retrying, we'll include the delay there.
		if (rateLimitDelay > 0 && retryAttempt === 0) {
			// Show countdown timer
			for (let i = rateLimitDelay; i > 0; i--) {
				const delayMessage = `Rate limiting for ${i} seconds...`
				await this.say("api_req_retry_delayed", delayMessage, undefined, true)
				await delay(1000)
			}
		}

		// Update last request time before making the request so that subsequent
		// requests — even from new subtasks — will honour the provider's rate-limit.
		Task.lastGlobalApiRequestTime = performance.now()

		const systemPrompt = await this.getSystemPrompt()
		const { contextTokens } = this.getTokenUsage()

		if (contextTokens) {
			const modelInfo = this.api.getModel().info

			const maxTokens = getModelMaxOutputTokens({
				modelId: this.api.getModel().id,
				model: modelInfo,
				settings: this.apiConfiguration,
			})

			const contextWindow = modelInfo.contextWindow

			// Get the current profile ID using the helper method
			const currentProfileId = this.getCurrentProfileId(state)

			// Determine if we're using native tool protocol for proper message handling
			const modelInfoForProtocol = this.api.getModel().info
			const protocol = resolveToolProtocol(this.apiConfiguration, modelInfoForProtocol)
			const useNativeTools = isNativeProtocol(protocol)

			// Check if context management will likely run (threshold check)
			// This allows us to show an in-progress indicator to the user
			// We use the centralized willManageContext helper to avoid duplicating threshold logic
			const lastMessage = this.apiConversationHistory[this.apiConversationHistory.length - 1]
			const lastMessageContent = lastMessage?.content
			let lastMessageTokens = 0
			if (lastMessageContent) {
				lastMessageTokens = Array.isArray(lastMessageContent)
					? await this.api.countTokens(lastMessageContent)
					: await this.api.countTokens([{ type: "text", text: lastMessageContent as string }])
			}

			const contextManagementWillRun = willManageContext({
				totalTokens: contextTokens,
				contextWindow,
				maxTokens,
				autoCondenseContext,
				autoCondenseContextPercent,
				profileThresholds,
				currentProfileId,
				lastMessageTokens,
			})

			// Send condenseTaskContextStarted BEFORE manageContext to show in-progress indicator
			// This notification must be sent here (not earlier) because the early check uses stale token count
			// (before user message is added to history), which could incorrectly skip showing the indicator
			if (contextManagementWillRun && autoCondenseContext) {
				await this.providerRef
					.deref()
					?.postMessageToWebview({ type: "condenseTaskContextStarted", text: this.taskId })
			}

			const truncateResult = await manageContext({
				messages: this.apiConversationHistory,
				totalTokens: contextTokens,
				maxTokens,
				contextWindow,
				apiHandler: this.api,
				autoCondenseContext,
				autoCondenseContextPercent,
				systemPrompt,
				taskId: this.taskId,
				customCondensingPrompt,
				condensingApiHandler,
				profileThresholds,
				currentProfileId,
				useNativeTools,
			})
			if (truncateResult.messages !== this.apiConversationHistory) {
				await this.overwriteApiConversationHistory(truncateResult.messages)
			}
			if (truncateResult.error) {
				await this.say("condense_context_error", truncateResult.error)
			} else if (truncateResult.summary) {
				const { summary, cost, prevContextTokens, newContextTokens = 0, condenseId } = truncateResult
				const contextCondense: ContextCondense = {
					summary,
					cost,
					newContextTokens,
					prevContextTokens,
					condenseId,
				}
				await this.say(
					"condense_context",
					undefined /* text */,
					undefined /* images */,
					false /* partial */,
					undefined /* checkpoint */,
					undefined /* progressStatus */,
					{ isNonInteractive: true } /* options */,
					contextCondense,
				)
			} else if (truncateResult.truncationId) {
				// Sliding window truncation occurred (fallback when condensing fails or is disabled)
				const contextTruncation: ContextTruncation = {
					truncationId: truncateResult.truncationId,
					messagesRemoved: truncateResult.messagesRemoved ?? 0,
					prevContextTokens: truncateResult.prevContextTokens,
					newContextTokens: truncateResult.newContextTokensAfterTruncation ?? 0,
				}
				await this.say(
					"sliding_window_truncation",
					undefined /* text */,
					undefined /* images */,
					false /* partial */,
					undefined /* checkpoint */,
					undefined /* progressStatus */,
					{ isNonInteractive: true } /* options */,
					undefined /* contextCondense */,
					contextTruncation,
				)
			}

			// Notify webview that context management is complete (sets isCondensing = false)
			// This removes the in-progress spinner and allows the completed result to show
			if (contextManagementWillRun && autoCondenseContext) {
				await this.providerRef
					.deref()
					?.postMessageToWebview({ type: "condenseTaskContextResponse", text: this.taskId })
			}
		}

		// Get the effective API history by filtering out condensed messages
		// This allows non-destructive condensing where messages are tagged but not deleted,
		// enabling accurate rewind operations while still sending condensed history to the API.
		const effectiveHistory = getEffectiveApiHistory(this.apiConversationHistory)
		const messagesSinceLastSummary = getMessagesSinceLastSummary(effectiveHistory)
		const messagesWithoutImages = maybeRemoveImageBlocks(messagesSinceLastSummary, this.api)
		const cleanConversationHistory = this.buildCleanConversationHistory(messagesWithoutImages as ApiMessage[])

		// Check auto-approval limits
		const approvalResult = await this.autoApprovalHandler.checkAutoApprovalLimits(
			state,
			this.combineMessages(this.clineMessages.slice(1)),
			async (type, data) => this.ask(type, data),
		)

		if (!approvalResult.shouldProceed) {
			// User did not approve, task should be aborted
			throw new Error("Auto-approval limit reached and user did not approve continuation")
		}

		// Determine if we should include native tools based on:
		// 1. Tool protocol is set to NATIVE
		// 2. Model supports native tools
		const modelInfo = this.api.getModel().info
		const toolProtocol = resolveToolProtocol(this.apiConfiguration, modelInfo)
		const shouldIncludeTools = toolProtocol === TOOL_PROTOCOL.NATIVE && (modelInfo.supportsNativeTools ?? false)

		// Build complete tools array: native tools + dynamic MCP tools, filtered by mode restrictions
		let allTools: OpenAI.Chat.ChatCompletionTool[] = []
		if (shouldIncludeTools) {
			const provider = this.providerRef.deref()
			if (!provider) {
				throw new Error("Provider reference lost during tool building")
			}

			allTools = await buildNativeToolsArray({
				provider,
				cwd: this.cwd,
				mode,
				customModes: state?.customModes,
				experiments: state?.experiments,
				apiConfiguration,
				maxReadFileLine: state?.maxReadFileLine ?? -1,
				browserToolEnabled: state?.browserToolEnabled ?? true,
				modelInfo,
				diffEnabled: this.diffEnabled,
			})
		}

		// Parallel tool calls are disabled - feature is on hold
		// Previously resolved from experiments.isEnabled(..., EXPERIMENT_IDS.MULTIPLE_NATIVE_TOOL_CALLS)
		const parallelToolCallsEnabled = false

		const metadata: ApiHandlerCreateMessageMetadata = {
			mode: mode,
			taskId: this.taskId,
			suppressPreviousResponseId: this.skipPrevResponseIdOnce,
			// Include tools and tool protocol when using native protocol and model supports it
			...(shouldIncludeTools
				? { tools: allTools, tool_choice: "auto", toolProtocol, parallelToolCalls: parallelToolCallsEnabled }
				: {}),
		}

		// Create an AbortController to allow cancelling the request mid-stream
		this.currentRequestAbortController = new AbortController()
		const abortSignal = this.currentRequestAbortController.signal
		// Reset the flag after using it
		this.skipPrevResponseIdOnce = false

		// The provider accepts reasoning items alongside standard messages; cast to the expected parameter type.
		const stream = this.api.createMessage(
			systemPrompt,
			cleanConversationHistory as unknown as Anthropic.Messages.MessageParam[],
			metadata,
		)
		const iterator = stream[Symbol.asyncIterator]()

		// Set up abort handling - when the signal is aborted, clean up the controller reference
		abortSignal.addEventListener("abort", () => {
			console.log(`[Task#${this.taskId}.${this.instanceId}] AbortSignal triggered for current request`)
			this.currentRequestAbortController = undefined
		})

		try {
			// Awaiting first chunk to see if it will throw an error.
			this.isWaitingForFirstChunk = true

			// Race between the first chunk and the abort signal
			const firstChunkPromise = iterator.next()
			const abortPromise = new Promise<never>((_, reject) => {
				if (abortSignal.aborted) {
					reject(new Error("Request cancelled by user"))
				} else {
					abortSignal.addEventListener("abort", () => {
						reject(new Error("Request cancelled by user"))
					})
				}
			})

			const firstChunk = await Promise.race([firstChunkPromise, abortPromise])
			yield firstChunk.value
			this.isWaitingForFirstChunk = false
		} catch (error) {
			this.isWaitingForFirstChunk = false
			this.currentRequestAbortController = undefined
			const isContextWindowExceededError = checkContextWindowExceededError(error)

			// If it's a context window error and we haven't exceeded max retries for this error type
			if (isContextWindowExceededError && retryAttempt < MAX_CONTEXT_WINDOW_RETRIES) {
				console.warn(
					`[Task#${this.taskId}] Context window exceeded for model ${this.api.getModel().id}. ` +
						`Retry attempt ${retryAttempt + 1}/${MAX_CONTEXT_WINDOW_RETRIES}. ` +
						`Attempting automatic truncation...`,
				)
				await this.handleContextWindowExceededError()
				// Retry the request after handling the context window error
				yield* this.attemptApiRequest(retryAttempt + 1)
				return
			}

			// note that this api_req_failed ask is unique in that we only present this option if the api hasn't streamed any content yet (ie it fails on the first chunk due), as it would allow them to hit a retry button. However if the api failed mid-stream, it could be in any arbitrary state where some tools may have executed, so that error is handled differently and requires cancelling the task entirely.
			if (autoApprovalEnabled && alwaysApproveResubmit) {
				let errorMsg

				if (error.error?.metadata?.raw) {
					errorMsg = JSON.stringify(error.error.metadata.raw, null, 2)
				} else if (error.message) {
					errorMsg = error.message
				} else {
					errorMsg = "Unknown error"
				}

				// Apply shared exponential backoff and countdown UX
				await this.backoffAndAnnounce(retryAttempt, error, errorMsg)

				// CRITICAL: Check if task was aborted during the backoff countdown
				// This prevents infinite loops when users cancel during auto-retry
				// Without this check, the recursive call below would continue even after abort
				if (this.abort) {
					throw new Error(
						`[Task#attemptApiRequest] task ${this.taskId}.${this.instanceId} aborted during retry`,
					)
				}

				// Delegate generator output from the recursive call with
				// incremented retry count.
				yield* this.attemptApiRequest(retryAttempt + 1)

				return
			} else {
				const { response } = await this.ask(
					"api_req_failed",
					error.message ?? JSON.stringify(serializeError(error), null, 2),
				)

				if (response !== "yesButtonClicked") {
					// This will never happen since if noButtonClicked, we will
					// clear current task, aborting this instance.
					throw new Error("API request failed")
				}

				await this.say("api_req_retried")

				// Delegate generator output from the recursive call.
				yield* this.attemptApiRequest()
				return
			}
		}

		// No error, so we can continue to yield all remaining chunks.
		// (Needs to be placed outside of try/catch since it we want caller to
		// handle errors not with api_req_failed as that is reserved for first
		// chunk failures only.)
		// This delegates to another generator or iterable object. In this case,
		// it's saying "yield all remaining values from this iterator". This
		// effectively passes along all subsequent chunks from the original
		// stream.
		yield* iterator
	}

	// Shared exponential backoff for retries (first-chunk and mid-stream)
	private async backoffAndAnnounce(retryAttempt: number, error: any, header?: string): Promise<void> {
		try {
			const state = await this.providerRef.deref()?.getState()
			const baseDelay = state?.requestDelaySeconds || 5

			let exponentialDelay = Math.min(
				Math.ceil(baseDelay * Math.pow(2, retryAttempt)),
				MAX_EXPONENTIAL_BACKOFF_SECONDS,
			)

			// Respect provider rate limit window
			let rateLimitDelay = 0
			const rateLimit = state?.apiConfiguration?.rateLimitSeconds || 0
			if (Task.lastGlobalApiRequestTime && rateLimit > 0) {
				const elapsed = performance.now() - Task.lastGlobalApiRequestTime
				rateLimitDelay = Math.ceil(Math.min(rateLimit, Math.max(0, rateLimit * 1000 - elapsed) / 1000))
			}

			// Prefer RetryInfo on 429 if present
			if (error?.status === 429) {
				const retryInfo = error?.errorDetails?.find(
					(d: any) => d["@type"] === "type.googleapis.com/google.rpc.RetryInfo",
				)
				const match = retryInfo?.retryDelay?.match?.(/^(\d+)s$/)
				if (match) {
					exponentialDelay = Number(match[1]) + 1
				}
			}

			const finalDelay = Math.max(exponentialDelay, rateLimitDelay)
			if (finalDelay <= 0) return

			// Build header text; fall back to error message if none provided
			let headerText
			if (error.status) {
				// This sets the message as just the error code, for which
				// ChatRow knows how to handle and use an i18n'd error string
				// In development, hardcode headerText to an HTTP status code to check it
				headerText = error.status
			} else if (error?.message) {
				headerText = error.message
			} else {
				headerText = "Unknown error"
			}

			headerText = headerText ? `${headerText}\n` : ""

			// Show countdown timer with exponential backoff
			for (let i = finalDelay; i > 0; i--) {
				// Check abort flag during countdown to allow early exit
				if (this.abort) {
					throw new Error(`[Task#${this.taskId}] Aborted during retry countdown`)
				}

				await this.say("api_req_retry_delayed", `${headerText}\n↻ ${i}s...`, undefined, true)
				await delay(1000)
			}

			await this.say("api_req_retry_delayed", headerText, undefined, false)
		} catch (err) {
			console.error("Exponential backoff failed:", err)
		}
	}

	// Checkpoints

	public async checkpointSave(force: boolean = false, suppressMessage: boolean = false) {
		return checkpointSave(this, force, suppressMessage)
	}

	private buildCleanConversationHistory(
		messages: ApiMessage[],
	): Array<
		Anthropic.Messages.MessageParam | { type: "reasoning"; encrypted_content: string; id?: string; summary?: any[] }
	> {
		type ReasoningItemForRequest = {
			type: "reasoning"
			encrypted_content: string
			id?: string
			summary?: any[]
		}

		const cleanConversationHistory: (Anthropic.Messages.MessageParam | ReasoningItemForRequest)[] = []

		for (const msg of messages) {
			// Standalone reasoning: send encrypted, skip plain text
			if (msg.type === "reasoning") {
				if (msg.encrypted_content) {
					cleanConversationHistory.push({
						type: "reasoning",
						summary: msg.summary,
						encrypted_content: msg.encrypted_content!,
						...(msg.id ? { id: msg.id } : {}),
					})
				}
				continue
			}

			// Preferred path: assistant message with embedded reasoning as first content block
			if (msg.role === "assistant") {
				const rawContent = msg.content

				const contentArray: Anthropic.Messages.ContentBlockParam[] = Array.isArray(rawContent)
					? (rawContent as Anthropic.Messages.ContentBlockParam[])
					: rawContent !== undefined
						? ([
								{ type: "text", text: rawContent } satisfies Anthropic.Messages.TextBlockParam,
							] as Anthropic.Messages.ContentBlockParam[])
						: []

				const [first, ...rest] = contentArray

				// Check if this message has reasoning_details (OpenRouter format for Gemini 3, etc.)
				const msgWithDetails = msg
				if (msgWithDetails.reasoning_details && Array.isArray(msgWithDetails.reasoning_details)) {
					// Build the assistant message with reasoning_details
					let assistantContent: Anthropic.Messages.MessageParam["content"]

					if (contentArray.length === 0) {
						assistantContent = ""
					} else if (contentArray.length === 1 && contentArray[0].type === "text") {
						assistantContent = (contentArray[0] as Anthropic.Messages.TextBlockParam).text
					} else {
						assistantContent = contentArray
					}

					// Create message with reasoning_details property
					cleanConversationHistory.push({
						role: "assistant",
						content: assistantContent,
						reasoning_details: msgWithDetails.reasoning_details,
					} as any)

					continue
				}

				// Embedded reasoning: encrypted (send) or plain text (skip)
				const hasEncryptedReasoning =
					first && (first as any).type === "reasoning" && typeof (first as any).encrypted_content === "string"
				const hasPlainTextReasoning =
					first && (first as any).type === "reasoning" && typeof (first as any).text === "string"

				if (hasEncryptedReasoning) {
					const reasoningBlock = first as any

					// Send as separate reasoning item (OpenAI Native)
					cleanConversationHistory.push({
						type: "reasoning",
						summary: reasoningBlock.summary ?? [],
						encrypted_content: reasoningBlock.encrypted_content,
						...(reasoningBlock.id ? { id: reasoningBlock.id } : {}),
					})

					// Send assistant message without reasoning
					let assistantContent: Anthropic.Messages.MessageParam["content"]

					if (rest.length === 0) {
						assistantContent = ""
					} else if (rest.length === 1 && rest[0].type === "text") {
						assistantContent = (rest[0] as Anthropic.Messages.TextBlockParam).text
					} else {
						assistantContent = rest
					}

					cleanConversationHistory.push({
						role: "assistant",
						content: assistantContent,
					} satisfies Anthropic.Messages.MessageParam)

					continue
				} else if (hasPlainTextReasoning) {
					// Check if the model's preserveReasoning flag is set
					// If true, include the reasoning block in API requests
					// If false/undefined, strip it out (stored for history only, not sent back to API)
					const shouldPreserveForApi = this.api.getModel().info.preserveReasoning === true
					let assistantContent: Anthropic.Messages.MessageParam["content"]

					if (shouldPreserveForApi) {
						// Include reasoning block in the content sent to API
						assistantContent = contentArray
					} else {
						// Strip reasoning out - stored for history only, not sent back to API
						if (rest.length === 0) {
							assistantContent = ""
						} else if (rest.length === 1 && rest[0].type === "text") {
							assistantContent = (rest[0] as Anthropic.Messages.TextBlockParam).text
						} else {
							assistantContent = rest
						}
					}

					cleanConversationHistory.push({
						role: "assistant",
						content: assistantContent,
					} satisfies Anthropic.Messages.MessageParam)

					continue
				}
			}

			// Default path for regular messages (no embedded reasoning)
			if (msg.role) {
				cleanConversationHistory.push({
					role: msg.role,
					content: msg.content as Anthropic.Messages.ContentBlockParam[] | string,
				})
			}
		}

		return cleanConversationHistory
	}
	public async checkpointRestore(options: CheckpointRestoreOptions) {
		return checkpointRestore(this, options)
	}

	public async checkpointDiff(options: CheckpointDiffOptions) {
		return checkpointDiff(this, options)
	}

	// Metrics

	public combineMessages(messages: ClineMessage[]) {
		return combineApiRequests(combineCommandSequences(messages))
	}

	public getTokenUsage(): TokenUsage {
		return getApiMetrics(this.combineMessages(this.clineMessages.slice(1)))
	}

	public recordToolUsage(toolName: ToolName) {
		if (!this.toolUsage[toolName]) {
			this.toolUsage[toolName] = { attempts: 0, failures: 0 }
		}

		this.toolUsage[toolName].attempts++
	}

	public recordToolError(toolName: ToolName, error?: string) {
		if (!this.toolUsage[toolName]) {
			this.toolUsage[toolName] = { attempts: 0, failures: 0 }
		}

		this.toolUsage[toolName].failures++

		if (error) {
			this.emit(RooCodeEventName.TaskToolFailed, this.taskId, toolName, error)
		}
	}

	// Getters

	public get taskStatus(): TaskStatus {
		if (this.interactiveAsk) {
			return TaskStatus.Interactive
		}

		if (this.resumableAsk) {
			return TaskStatus.Resumable
		}

		if (this.idleAsk) {
			return TaskStatus.Idle
		}

		return TaskStatus.Running
	}

	public get taskAsk(): ClineMessage | undefined {
		return this.idleAsk || this.resumableAsk || this.interactiveAsk
	}

	public get queuedMessages(): QueuedMessage[] {
		return this.messageQueueService.messages
	}

	public get tokenUsage(): TokenUsage | undefined {
		if (this.tokenUsageSnapshot && this.tokenUsageSnapshotAt) {
			return this.tokenUsageSnapshot
		}

		this.tokenUsageSnapshot = this.getTokenUsage()
		this.tokenUsageSnapshotAt = this.clineMessages.at(-1)?.ts

		return this.tokenUsageSnapshot
	}

	public get cwd() {
		return this.workspacePath
	}

	/**
	 * Provides convenient access to high-level message operations.
	 * Uses lazy initialization - the MessageManager is only created when first accessed.
	 * Subsequent accesses return the same cached instance.
	 *
	 * ## Important: Single Coordination Point
	 *
	 * **All MessageManager operations must go through this getter** rather than
	 * instantiating `new MessageManager(task)` directly. This ensures:
	 * - A single shared instance for consistent behavior
	 * - Centralized coordination of all rewind/message operations
	 * - Ability to add internal state or instrumentation in the future
	 *
	 * @example
	 * ```typescript
	 * // Correct: Use the getter
	 * await task.messageManager.rewindToTimestamp(ts)
	 *
	 * // Incorrect: Do NOT create new instances directly
	 * // const manager = new MessageManager(task) // Don't do this!
	 * ```
	 */
	get messageManager(): MessageManager {
		if (!this._messageManager) {
			this._messageManager = new MessageManager(this)
		}
		return this._messageManager
	}

	/**
	 * Broadcast browser session updates to the browser panel (if open)
	 */
	private broadcastBrowserSessionUpdate(): void {
		const provider = this.providerRef.deref()
		if (!provider) {
			return
		}

		try {
			const { BrowserSessionPanelManager } = require("../webview/BrowserSessionPanelManager")
			const panelManager = BrowserSessionPanelManager.getInstance(provider)

			// Get browser session messages
			const browserSessionStartIndex = this.clineMessages.findIndex(
				(m) =>
					m.ask === "browser_action_launch" ||
					(m.say === "browser_session_status" && m.text?.includes("opened")),
			)

			const browserSessionMessages =
				browserSessionStartIndex !== -1 ? this.clineMessages.slice(browserSessionStartIndex) : []

			const isBrowserSessionActive = this.browserSession?.isSessionActive() ?? false

			// Update the panel asynchronously
			panelManager.updateBrowserSession(browserSessionMessages, isBrowserSessionActive).catch((error: Error) => {
				console.error("Failed to broadcast browser session update:", error)
			})
		} catch (error) {
			// Silently fail if panel manager is not available
			console.debug("Browser panel not available for update:", error)
		}
	}

	/**
	 * Process any queued messages by dequeuing and submitting them.
	 * This ensures that queued user messages are sent when appropriate,
	 * preventing them from getting stuck in the queue.
	 *
	 * @param context - Context string for logging (e.g., the calling tool name)
	 */
	public processQueuedMessages(): void {
		try {
			if (!this.messageQueueService.isEmpty()) {
				const queued = this.messageQueueService.dequeueMessage()
				if (queued) {
					setTimeout(() => {
						this.submitUserMessage(queued.text, queued.images).catch((err) =>
							console.error(`[Task] Failed to submit queued message:`, err),
						)
					}, 0)
				}
			}
		} catch (e) {
			console.error(`[Task] Queue processing error:`, e)
		}
	}
}