Merge branch 'main' into dev-script-create-tasks

* add tests around truncating context

* remove comments

.changeset/.mighty-tools-remain.md

@@ -0,0 +1,7 @@
+---
+"claude-dev": minor
+---
+Add Bedrock prompt caching support (optional).
+    
+This feature protected under checkbox because it is not yet rolled out to everyone, and if you will try to send cache headers, and its not enabled for you, you will get error.
+

.changeset/afraid-items-help.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+feat(bedrock): adding Amazon Nova

.changeset/beige-monkeys-prove.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+Improve file handling for NextJS folder naming conventions and increase file listing limits. Fix glob pattern interpretation issues with parentheses in folder names

.changeset/eighty-tables-warn.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+Handle input too large Anthropic

.changeset/eleven-shirts-play.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+Fix "See more" not showing up for tasks after task un-fold

.changeset/fresh-falcons-hang.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+Fix gpt-4.5-preview's supportsPromptCache value to true

.changeset/nasty-pigs-camp.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": minor
+---
+
+Added a script to create test tasks in dev mode

.changeset/nice-boats-kick.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+updated move context management out of cline

.changeset/serious-spoons-knock.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": minor
+---
+
+Added support for SambaNova QwQ-32B model

.changeset/short-pants-serve.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": minor
+---
+
+Add OpenAI "dynamic" model chatgpt-4o-latest

.changeset/tasty-cheetahs-vanish.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+DangerButton.tsx to Tailwind

.clinerules

@@ -0,0 +1,517 @@
+# Cline Extension Architecture & Development Guide
+
+## Project Overview
+
+Cline is a VSCode extension that provides AI assistance through a combination of a core extension backend and a React-based webview frontend. The extension is built with TypeScript and follows a modular architecture pattern.
+
+## Architecture Overview
+
+```mermaid
+graph TB
+    subgraph VSCode Extension Host
+        subgraph Core Extension
+            ExtensionEntry[Extension Entry<br/>src/extension.ts]
+            ClineProvider[ClineProvider<br/>src/core/webview/ClineProvider.ts]
+            ClineClass[Cline Class<br/>src/core/Cline.ts]
+            GlobalState[VSCode Global State]
+            SecretsStorage[VSCode Secrets Storage]
+        end
+
+        subgraph Webview UI
+            WebviewApp[React App<br/>webview-ui/src/App.tsx]
+            ExtStateContext[ExtensionStateContext<br/>webview-ui/src/context/ExtensionStateContext.tsx]
+            ReactComponents[React Components]
+        end
+
+        subgraph Storage
+            TaskStorage[Task Storage<br/>Per-Task Files & History]
+            CheckpointSystem[Git-based Checkpoints]
+        end
+    end
+
+    %% Core Extension Data Flow
+    ExtensionEntry --> ClineProvider
+    ClineProvider --> ClineClass
+    ClineClass --> GlobalState
+    ClineClass --> SecretsStorage
+    ClineClass --> TaskStorage
+    ClineClass --> CheckpointSystem
+
+    %% Webview Data Flow
+    WebviewApp --> ExtStateContext
+    ExtStateContext --> ReactComponents
+
+    %% Bidirectional Communication
+    ClineProvider <-->|postMessage| ExtStateContext
+
+    style GlobalState fill:#f9f,stroke:#333,stroke-width:2px
+    style SecretsStorage fill:#f9f,stroke:#333,stroke-width:2px
+    style ExtStateContext fill:#bbf,stroke:#333,stroke-width:2px
+    style ClineProvider fill:#bfb,stroke:#333,stroke-width:2px
+```
+
+## Definitions 
+
+- core extension: Anything inside the src folder starting with the Cline.ts file
+- core extension state: Managed by the ClineProvider class in src/core/webview/ClineProvider.ts, which serves as the single source of truth for the extension's state. It manages multiple types of persistent storage (global state, workspace state, and secrets), handles state distribution to both the core extension and webview components, and coordinates state across multiple extension instances. This includes managing API configurations, task history, settings, and MCP configurations.
+- webview: Anything inside the webview-ui. All the react or view's seen by the user and user interaction compone
+- webview state: Managed by ExtensionStateContext in webview-ui/src/context/ExtensionStateContext.tsx, which provides React components with access to the extension's state through a context provider pattern. It maintains local state for UI components, handles real-time updates through message events, manages partial message updates, and provides methods for state modifications. The context includes extension version, messages, task history, theme, API configurations, MCP servers, marketplace catalog, and workspace file paths. It synchronizes with the core extension through VSCode's message passing system and provides type-safe access to state through a custom hook (useExtensionState).
+
+### Core Extension State
+
+The `ClineProvider` class manages multiple types of persistent storage:
+
+- **Global State:** Stored across all VSCode instances. Used for settings and data that should persist globally.
+- **Workspace State:** Specific to the current workspace. Used for task-specific data and settings.
+- **Secrets:** Secure storage for sensitive information like API keys.
+
+The `ClineProvider` handles the distribution of state to both the core extension and webview components. It also coordinates state across multiple extension instances, ensuring consistency.
+
+### Webview State
+
+The `ExtensionStateContext` in `webview-ui/src/context/ExtensionStateContext.tsx` provides React components with access to the extension's state. It uses a context provider pattern and maintains local state for UI components. The context includes:
+
+- Extension version
+- Messages
+- Task history
+- Theme
+- API configurations
+- MCP servers
+- Marketplace catalog
+- Workspace file paths
+
+It synchronizes with the core extension through VSCode's message passing system and provides type-safe access to the state via a custom hook (`useExtensionState`).
+
+## Core Extension (Cline.ts)
+
+The Cline class is the heart of the extension, managing task execution, state persistence, and tool coordination. Each task runs in its own instance of the Cline class, ensuring isolation and proper state management.
+
+### Task Execution Loop
+
+The core task execution loop follows this pattern:
+
+```typescript
+class Cline {
+  async initiateTaskLoop(userContent: UserContent, isNewTask: boolean) {
+    while (!this.abort) {
+      // 1. Make API request and stream response
+      const stream = this.attemptApiRequest()
+      
+      // 2. Parse and present content blocks
+      for await (const chunk of stream) {
+        switch (chunk.type) {
+          case "text":
+            // Parse into content blocks
+            this.assistantMessageContent = parseAssistantMessage(chunk.text)
+            // Present blocks to user
+            await this.presentAssistantMessage()
+            break
+        }
+      }
+      
+      // 3. Wait for tool execution to complete
+      await pWaitFor(() => this.userMessageContentReady)
+      
+      // 4. Continue loop with tool result
+      const recDidEndLoop = await this.recursivelyMakeClineRequests(
+        this.userMessageContent
+      )
+    }
+  }
+}
+```
+
+### Message Streaming System
+
+The streaming system handles real-time updates and partial content:
+
+```typescript
+class Cline {
+  async presentAssistantMessage() {
+    // Handle streaming locks to prevent race conditions
+    if (this.presentAssistantMessageLocked) {
+      this.presentAssistantMessageHasPendingUpdates = true
+      return
+    }
+    this.presentAssistantMessageLocked = true
+
+    // Present current content block
+    const block = this.assistantMessageContent[this.currentStreamingContentIndex]
+    
+    // Handle different types of content
+    switch (block.type) {
+      case "text":
+        await this.say("text", content, undefined, block.partial)
+        break
+      case "tool_use":
+        // Handle tool execution
+        break
+    }
+
+    // Move to next block if complete
+    if (!block.partial) {
+      this.currentStreamingContentIndex++
+    }
+  }
+}
+```
+
+### Tool Execution Flow
+
+Tools follow a strict execution pattern:
+
+```typescript
+class Cline {
+  async executeToolWithApproval(block: ToolBlock) {
+    // 1. Check auto-approval settings
+    if (this.shouldAutoApproveTool(block.name)) {
+      await this.say("tool", message)
+      this.consecutiveAutoApprovedRequestsCount++
+    } else {
+      // 2. Request user approval
+      const didApprove = await askApproval("tool", message)
+      if (!didApprove) {
+        this.didRejectTool = true
+        return
+      }
+    }
+
+    // 3. Execute tool
+    const result = await this.executeTool(block)
+
+    // 4. Save checkpoint
+    await this.saveCheckpoint()
+
+    // 5. Return result to API
+    return result
+  }
+}
+```
+
+### Error Handling & Recovery
+
+The system includes robust error handling:
+
+```typescript
+class Cline {
+  async handleError(action: string, error: Error) {
+    // 1. Check if task was abandoned
+    if (this.abandoned) return
+    
+    // 2. Format error message
+    const errorString = `Error ${action}: ${error.message}`
+    
+    // 3. Present error to user
+    await this.say("error", errorString)
+    
+    // 4. Add error to tool results
+    pushToolResult(formatResponse.toolError(errorString))
+    
+    // 5. Cleanup resources
+    await this.diffViewProvider.revertChanges()
+    await this.browserSession.closeBrowser()
+  }
+}
+```
+
+### API Request & Token Management
+
+The Cline class handles API requests with built-in retry, streaming, and token management:
+
+```typescript
+class Cline {
+  async *attemptApiRequest(previousApiReqIndex: number): ApiStream {
+    // 1. Wait for MCP servers to connect
+    await pWaitFor(() => this.providerRef.deref()?.mcpHub?.isConnecting !== true)
+
+    // 2. Manage context window
+    const previousRequest = this.clineMessages[previousApiReqIndex]
+    if (previousRequest?.text) {
+      const { tokensIn, tokensOut } = JSON.parse(previousRequest.text)
+      const totalTokens = (tokensIn || 0) + (tokensOut || 0)
+      
+      // Truncate conversation if approaching context limit
+      if (totalTokens >= maxAllowedSize) {
+        this.conversationHistoryDeletedRange = getNextTruncationRange(
+          this.apiConversationHistory,
+          this.conversationHistoryDeletedRange,
+          totalTokens / 2 > maxAllowedSize ? "quarter" : "half"
+        )
+      }
+    }
+
+    // 3. Handle streaming with automatic retry
+    try {
+      this.isWaitingForFirstChunk = true
+      const firstChunk = await iterator.next()
+      yield firstChunk.value
+      this.isWaitingForFirstChunk = false
+      
+      // Stream remaining chunks
+      yield* iterator
+    } catch (error) {
+      // 4. Error handling with retry
+      if (isOpenRouter && !this.didAutomaticallyRetryFailedApiRequest) {
+        await setTimeoutPromise(1000)
+        this.didAutomaticallyRetryFailedApiRequest = true
+        yield* this.attemptApiRequest(previousApiReqIndex)
+        return
+      }
+      
+      // 5. Ask user to retry if automatic retry failed
+      const { response } = await this.ask(
+        "api_req_failed",
+        this.formatErrorWithStatusCode(error)
+      )
+      if (response === "yesButtonClicked") {
+        await this.say("api_req_retried")
+        yield* this.attemptApiRequest(previousApiReqIndex)
+        return
+      }
+    }
+  }
+}
+```
+
+Key features:
+
+1. **Context Window Management**
+   - Tracks token usage across requests
+   - Automatically truncates conversation when needed
+   - Preserves important context while freeing space
+   - Handles different model context sizes
+
+2. **Streaming Architecture**
+   - Real-time chunk processing
+   - Partial content handling
+   - Race condition prevention
+   - Error recovery during streaming
+
+3. **Error Handling**
+   - Automatic retry for transient failures
+   - User-prompted retry for persistent issues
+   - Detailed error reporting
+   - State cleanup on failure
+
+4. **Token Tracking**
+   - Per-request token counting
+   - Cumulative usage tracking
+   - Cost calculation
+   - Cache hit monitoring
+
+### Task State & Resumption
+
+The Cline class provides robust task state management and resumption capabilities:
+
+```typescript
+class Cline {
+  async resumeTaskFromHistory() {
+    // 1. Load saved state
+    this.clineMessages = await this.getSavedClineMessages()
+    this.apiConversationHistory = await this.getSavedApiConversationHistory()
+
+    // 2. Handle interrupted tool executions
+    const lastMessage = this.apiConversationHistory[this.apiConversationHistory.length - 1]
+    if (lastMessage.role === "assistant") {
+      const toolUseBlocks = content.filter(block => block.type === "tool_use")
+      if (toolUseBlocks.length > 0) {
+        // Add interrupted tool responses
+        const toolResponses = toolUseBlocks.map(block => ({
+          type: "tool_result",
+          tool_use_id: block.id,
+          content: "Task was interrupted before this tool call could be completed."
+        }))
+        modifiedOldUserContent = [...toolResponses]
+      }
+    }
+
+    // 3. Notify about interruption
+    const agoText = this.getTimeAgoText(lastMessage?.ts)
+    newUserContent.push({
+      type: "text",
+      text: `[TASK RESUMPTION] This task was interrupted ${agoText}. It may or may not be complete, so please reassess the task context.`
+    })
+
+    // 4. Resume task execution
+    await this.initiateTaskLoop(newUserContent, false)
+  }
+
+  private async saveTaskState() {
+    // Save conversation history
+    await this.saveApiConversationHistory()
+    await this.saveClineMessages()
+    
+    // Create checkpoint
+    const commitHash = await this.checkpointTracker?.commit()
+    
+    // Update task history
+    await this.providerRef.deref()?.updateTaskHistory({
+      id: this.taskId,
+      ts: lastMessage.ts,
+      task: taskMessage.text,
+      // ... other metadata
+    })
+  }
+}
+```
+
+Key aspects of task state management:
+
+1. **Task Persistence**
+   - Each task has a unique ID and dedicated storage directory
+   - Conversation history is saved after each message
+   - File changes are tracked through Git-based checkpoints
+   - Terminal output and browser state are preserved
+
+2. **State Recovery**
+   - Tasks can be resumed from any point
+   - Interrupted tool executions are handled gracefully
+   - File changes can be restored from checkpoints
+   - Context is preserved across VSCode sessions
+
+3. **Workspace Synchronization**
+   - File changes are tracked through Git
+   - Checkpoints are created after tool executions
+   - State can be restored to any checkpoint
+   - Changes can be compared between checkpoints
+
+4. **Error Recovery**
+   - Failed API requests can be retried
+   - Interrupted tool executions are marked
+   - Resources are cleaned up properly
+   - User is notified of state changes
+
+## Data Flow & State Management
+
+### Core Extension Role
+
+The core extension (ClineProvider) acts as the single source of truth for all persistent state. It:
+- Manages VSCode global state and secrets storage
+- Coordinates state updates between components
+- Ensures state consistency across webview reloads
+- Handles task-specific state persistence
+- Manages checkpoint creation and restoration
+
+### Terminal Management
+
+The Cline class manages terminal instances and command execution:
+
+```typescript
+class Cline {
+  async executeCommandTool(command: string): Promise<[boolean, ToolResponse]> {
+    // 1. Get or create terminal
+    const terminalInfo = await this.terminalManager.getOrCreateTerminal(cwd)
+    terminalInfo.terminal.show()
+
+    // 2. Execute command with output streaming
+    const process = this.terminalManager.runCommand(terminalInfo, command)
+    
+    // 3. Handle real-time output
+    let result = ""
+    process.on("line", (line) => {
+      result += line + "\n"
+      if (!didContinue) {
+        sendCommandOutput(line)
+      } else {
+        this.say("command_output", line)
+      }
+    })
+
+    // 4. Wait for completion or user feedback
+    let completed = false
+    process.once("completed", () => {
+      completed = true
+    })
+
+    await process
+
+    // 5. Return result
+    if (completed) {
+      return [false, `Command executed.\n${result}`]
+    } else {
+      return [
+        false,
+        `Command is still running in the user's terminal.\n${result}\n\nYou will be updated on the terminal status and new output in the future.`
+      ]
+    }
+  }
+}
+```
+
+Key features:
+1. **Terminal Instance Management**
+   - Multiple terminal support
+   - Terminal state tracking (busy/inactive)
+   - Process cooldown monitoring
+   - Output history per terminal
+
+2. **Command Execution**
+   - Real-time output streaming
+   - User feedback handling
+   - Process state monitoring
+   - Error recovery
+
+### Browser Session Management
+
+The Cline class handles browser automation through Puppeteer:
+
+```typescript
+class Cline {
+  async executeBrowserAction(action: BrowserAction): Promise<BrowserActionResult> {
+    switch (action) {
+      case "launch":
+        // 1. Launch browser with fixed resolution
+        await this.browserSession.launchBrowser()
+        return await this.browserSession.navigateToUrl(url)
+
+      case "click":
+        // 2. Handle click actions with coordinates
+        return await this.browserSession.click(coordinate)
+
+      case "type":
+        // 3. Handle keyboard input
+        return await this.browserSession.type(text)
+
+      case "close":
+        // 4. Clean up resources
+        return await this.browserSession.closeBrowser()
+    }
+  }
+}
+```
+
+Key aspects:
+1. **Browser Control**
+   - Fixed 900x600 resolution window
+   - Single instance per task lifecycle
+   - Automatic cleanup on task completion
+   - Console log capture
+
+2. **Interaction Handling**
+   - Coordinate-based clicking
+   - Keyboard input simulation
+   - Screenshot capture
+   - Error recovery
+
+## Conclusion
+
+This guide provides a comprehensive overview of the Cline extension architecture, with special focus on state management, data persistence, and code organization. Following these patterns ensures robust feature implementation with proper state handling across the extension's components.
+
+Remember:
+- Always persist important state in the extension
+- The core extension exists in the src/ folder
+- Use proper typing for all state and messages
+- Handle errors and edge cases
+- Test state persistence across webview reloads
+- Follow the established patterns for consistency
+- Place new code in appropriate directories
+- Maintain clear separation of concerns
+- Install dependencies in correct package.json
+
+## Contributing
+
+Contributions to the Cline extension are welcome! Please follow these guidelines:
+
+When adding new tools or API providers, follow the existing patterns in the `src/integrations/` and `src/api/providers/` directories, respectively. Ensure that your code is well-documented and includes appropriate error handling.
+
+The `.clineignore` file allows users to specify files and directories that Cline should not access. When implementing new features, respect the `.clineignore` rules and ensure that your code does not attempt to read or modify ignored files.

.github/CODEOWNERS

@@ -1 +1 @@
-*       @saoudrizwan @ocasta181 @NightTrek @pashpashpash
+*       @saoudrizwan @ocasta181 @NightTrek @pashpashpash @dcbartlett @saito-sv

.github/dependabot.yml

@@ -28,10 +28,7 @@ updates:
               patterns:
                   - "*"
       ignore:
-          # Ignore CRA and related packages that often have false positives
-          - dependency-name: "react-scripts"
           - dependency-name: "@testing-library/*"
-          - dependency-name: "web-vitals"
           - dependency-name: "*"
             update-types:
                 - "version-update:semver-major"

.github/pull_request_template.md

@@ -21,6 +21,7 @@
 
 -   [ ] Changes are limited to a single feature, bugfix or chore (split larger changes into separate PRs)
 -   [ ] Tests are passing (`npm test`) and code is formatted and linted (`npm run format && npm run lint`)
+-   [ ] I have created a changeset using `npm run changeset` (required for user-facing changes)
 -   [ ] I have reviewed [contributor guidelines](https://github.com/cline/cline/blob/main/CONTRIBUTING.md)
 
 ### Screenshots

.github/scripts/overwrite_changeset_changelog.py

@@ -0,0 +1,103 @@
+"""
+This script updates a specific version's release notes section in CHANGELOG.md with new content
+or reformats existing content.
+
+The script:
+1. Takes a version number, changelog path, and optionally new content as input from environment variables
+2. Finds the section in the changelog for the specified version
+3. Either:
+   a) Replaces the content with new content if provided, or
+   b) Reformats existing content by:
+      - Removing the first two lines of the changeset format
+      - Ensuring version numbers are wrapped in square brackets
+4. Writes the updated changelog back to the file
+
+Environment Variables:
+    CHANGELOG_PATH: Path to the changelog file (defaults to 'CHANGELOG.md')
+    VERSION: The version number to update/format
+    PREV_VERSION: The previous version number (used to locate section boundaries)
+    NEW_CONTENT: Optional new content to insert for this version
+"""
+
+#!/usr/bin/env python3
+
+import os
+import sys
+
+CHANGELOG_PATH = os.environ.get("CHANGELOG_PATH", "CHANGELOG.md")
+VERSION = os.environ['VERSION']
+PREV_VERSION = os.environ.get("PREV_VERSION", "")
+NEW_CONTENT = os.environ.get("NEW_CONTENT", "")
+
+def overwrite_changelog_section(changelog_text: str, new_content: str):
+    # Find the section for the specified version
+    version_pattern = f"## {VERSION}\n"
+    bracketed_version_pattern = f"## [{VERSION}]\n"
+    prev_version_pattern = f"## [{PREV_VERSION}]\n"
+    print(f"latest version: {VERSION}")
+    print(f"prev_version: {PREV_VERSION}")
+
+    # Try both unbracketed and bracketed version patterns
+    version_index = changelog_text.find(version_pattern)
+    if version_index == -1:
+        version_index = changelog_text.find(bracketed_version_pattern)
+        if version_index == -1:
+            # If version not found, add it at the top (after the first line)
+            first_newline = changelog_text.find('\n')
+            if first_newline == -1:
+                # If no newline found, just prepend
+                return f"## [{VERSION}]\n\n{changelog_text}"
+            return f"{changelog_text[:first_newline + 1]}## [{VERSION}]\n\n{changelog_text[first_newline + 1:]}"
+        else:
+            # Using bracketed version
+            version_pattern = bracketed_version_pattern
+
+    notes_start_index = version_index + len(version_pattern)
+    notes_end_index = changelog_text.find(prev_version_pattern, notes_start_index) if PREV_VERSION and prev_version_pattern in changelog_text else len(changelog_text)
+
+    if new_content:
+        return changelog_text[:notes_start_index] + f"{new_content}\n" + changelog_text[notes_end_index:]
+    else:
+        changeset_lines = changelog_text[notes_start_index:notes_end_index].split("\n")
+        # Ensure we have at least 2 lines before removing them
+        if len(changeset_lines) < 2:
+            print("Warning: Changeset content has fewer than 2 lines")
+            parsed_lines = "\n".join(changeset_lines)
+        else:
+            # Remove the first two lines from the regular changeset format, ex: \n### Patch Changes
+            parsed_lines = "\n".join(changeset_lines[2:])
+        updated_changelog = changelog_text[:notes_start_index] + parsed_lines + changelog_text[notes_end_index:]
+        # Ensure version number is bracketed
+        updated_changelog = updated_changelog.replace(f"## {VERSION}", f"## [{VERSION}]")
+        return updated_changelog
+
+try:
+    print(f"Reading changelog from: {CHANGELOG_PATH}")
+    with open(CHANGELOG_PATH, 'r') as f:
+        changelog_content = f.read()
+
+    print(f"Changelog content length: {len(changelog_content)} characters")
+    print("First 200 characters of changelog:")
+    print(changelog_content[:200])
+    print("----------------------------------------------------------------------------------")
+
+    new_changelog = overwrite_changelog_section(changelog_content, NEW_CONTENT)
+    
+    print("New changelog content:")
+    print("----------------------------------------------------------------------------------")
+    print(new_changelog)
+    print("----------------------------------------------------------------------------------")
+    
+    print(f"Writing updated changelog back to: {CHANGELOG_PATH}")
+    with open(CHANGELOG_PATH, 'w') as f:
+        f.write(new_changelog)
+
+    print(f"{CHANGELOG_PATH} updated successfully!")
+
+except FileNotFoundError:
+    print(f"Error: Changelog file not found at {CHANGELOG_PATH}")
+    sys.exit(1)
+except Exception as e:
+    print(f"Error updating changelog: {str(e)}")
+    print(f"Current working directory: {os.getcwd()}")
+    sys.exit(1)

.github/workflows/check-changeset.yml

@@ -0,0 +1,117 @@
+name: Check Changeset
+run-name: Check for Changeset in PR
+
+permissions:
+    contents: read
+    pull-requests: write
+
+on:
+    pull_request:
+        branches:
+            - main
+        types: [opened, synchronize, reopened, ready_for_review]
+
+jobs:
+    check-changeset:
+        # Skip draft PRs and dependabot PRs
+        if: github.event.pull_request.draft == false && github.actor != 'dependabot[bot]'
+        runs-on: ubuntu-latest
+        steps:
+            - name: Checkout
+              uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4
+              with:
+                  fetch-depth: 0
+                  ref: ${{ github.event.pull_request.head.sha }}
+
+            - name: Check for changeset
+              id: check-changeset
+              run: |
+                  # Debug info
+                  echo "Current directory: $(pwd)"
+                  echo "PR Base Ref: ${{ github.event.pull_request.base.ref }}"
+                  echo "PR Head Ref: ${{ github.event.pull_request.head.ref }}"
+                  echo "PR Head SHA: ${{ github.event.pull_request.head.sha }}"
+                  echo "Git status:"
+                  git status
+
+                  # Get list of changed files
+                  git fetch origin ${{ github.event.pull_request.base.ref }}
+                  CHANGED_FILES=$(git diff --name-only origin/${{ github.event.pull_request.base.ref }} HEAD)
+                  echo "Changed files:"
+                  echo "$CHANGED_FILES"
+
+                  # Check if any of the changed files are in docs/ or .github/
+                  echo "Checking if changes are docs-only..."
+                  DOCS_ONLY=true
+                  while IFS= read -r file; do
+                    if [[ ! "$file" =~ ^(docs/|.github/) ]]; then
+                      echo "Found non-docs change: $file"
+                      DOCS_ONLY=false
+                      break
+                    fi
+                  done <<< "$CHANGED_FILES"
+
+                  # If changes are docs-only, skip changeset check
+                  if [ "$DOCS_ONLY" = true ]; then
+                    echo "All changes are in docs/ or .github/, skipping changeset check"
+                    exit 0
+                  else
+                    echo "Changes include non-docs files, checking for changeset..."
+                  fi
+
+                  # Check if any changeset files are in the changed files
+                  echo "Checking for changeset files in changed files..."
+                  CHANGESET_IN_PR=false
+                  while IFS= read -r file; do
+                    if [[ "$file" =~ ^\.changeset/.*\.md$ && "$file" != ".changeset/README.md" && "$file" != ".changeset/config.json" ]]; then
+                      echo "Found changeset file in PR: $file"
+                      CHANGESET_IN_PR=true
+                      break
+                    fi
+                  done <<< "$CHANGED_FILES"
+
+                  if [ "$CHANGESET_IN_PR" = false ]; then
+                    echo "No changeset files found in changed files. Changed files in .changeset/:"
+                    echo "$CHANGED_FILES" | grep "^\.changeset/" || true
+                    echo "::error::No changeset file found in PR changes. Please run 'npm run changeset' to create one."
+                    exit 1
+                  fi
+
+            - name: Comment on PR
+              if: failure()
+              uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7
+              with:
+                  script: |
+                      const message = `This PR requires a changeset since it includes user-facing changes. Please:
+
+                      1. Run \`npm run changeset\` locally
+                      2. Choose the appropriate version bump:
+                         - \`major\` for breaking changes (1.0.0 → 2.0.0)
+                         - \`minor\` for new features (1.0.0 → 1.1.0)
+                         - \`patch\` for bug fixes (1.0.0 → 1.0.1)
+                      3. Write a clear description of your changes
+                      4. Commit the generated changeset file
+
+                      Note: Documentation-only changes do not require a changeset.`;
+
+                      // Get existing comments
+                      const comments = await github.rest.issues.listComments({
+                        owner: context.repo.owner,
+                        repo: context.repo.repo,
+                        issue_number: context.issue.number
+                      });
+
+                      // Check if we already commented
+                      const botComment = comments.data.find(comment => 
+                        comment.user.login === 'github-actions[bot]' && 
+                        comment.body.includes('This PR requires a changeset')
+                      );
+
+                      if (!botComment) {
+                        await github.rest.issues.createComment({
+                          owner: context.repo.owner,
+                          repo: context.repo.repo,
+                          issue_number: context.issue.number,
+                          body: message
+                        });
+                      }

.github/workflows/publish.yml

@@ -70,8 +70,10 @@ jobs:
                   echo "version=$VERSION" >> $GITHUB_OUTPUT
 
             - name: Create Git Tag
+              id: create_tag
               run: |
                   VERSION=v${{ steps.get_version.outputs.version }}
+                  echo "tag=$VERSION" >> $GITHUB_OUTPUT
                   echo "Tagging with $VERSION"
                   git tag "$VERSION"
                   git push origin "$VERSION"
@@ -104,6 +106,7 @@ jobs:
             - name: Create GitHub Release
               uses: softprops/action-gh-release@v1
               with:
+                  tag_name: ${{ steps.create_tag.outputs.tag }}
                   files: "*.vsix"
                   # body: ${{ steps.changelog.outputs.content }}
                   generate_release_notes: true

.gitignore

@@ -7,4 +7,6 @@ tmp
 
 .DS_Store
 
-pnpm-lock.yaml
+pnpm-lock.yaml
+
+.clineignore

.vscode/launch.json

@@ -11,7 +11,11 @@
 			"request": "launch",
 			"args": ["--extensionDevelopmentPath=${workspaceFolder}"],
 			"outFiles": ["${workspaceFolder}/dist/**/*.js"],
-			"preLaunchTask": "${defaultBuildTask}"
+			"preLaunchTask": "${defaultBuildTask}",
+			"env": {
+				"IS_DEV": "true",
+				"DEV_WORKSPACE_FOLDER": "${workspaceFolder}"
+			}
 		}
 	]
 }

.vscode/tasks.json

@@ -5,7 +5,7 @@
 	"tasks": [
 		{
 			"label": "watch",
-			"dependsOn": ["npm: build:webview", "npm: watch:tsc", "npm: watch:esbuild"],
+			"dependsOn": ["npm: build:webview", "npm: dev:webview", "npm: watch:tsc", "npm: watch:esbuild"],
 			"presentation": {
 				"reveal": "never"
 			},
@@ -23,7 +23,47 @@
 			"label": "npm: build:webview",
 			"presentation": {
 				"group": "watch",
-				"reveal": "never"
+				"reveal": "never",
+				"close": true
+			},
+			"options": {
+				"env": {
+					"IS_DEV": "true"
+				}
+			}
+		},
+		{
+			"type": "npm",
+			"script": "dev:webview",
+			"group": "build",
+			"problemMatcher": [
+				{
+					"pattern": [
+						{
+							"regexp": ".",
+							"file": 1,
+							"location": 2,
+							"message": 3
+						}
+					],
+					"background": {
+						"activeOnStart": true,
+						"beginsPattern": ".",
+						"endsPattern": "."
+					}
+				}
+			],
+			"isBackground": true,
+			"label": "npm: dev:webview",
+			"presentation": {
+				"group": "watch",
+				"reveal": "never",
+				"close": true
+			},
+			"options": {
+				"env": {
+					"IS_DEV": "true"
+				}
 			}
 		},
 		{
@@ -35,7 +75,8 @@
 			"label": "npm: watch:esbuild",
 			"presentation": {
 				"group": "watch",
-				"reveal": "never"
+				"reveal": "never",
+				"close": true
 			}
 		},
 		{
@@ -47,7 +88,8 @@
 			"label": "npm: watch:tsc",
 			"presentation": {
 				"group": "watch",
-				"reveal": "never"
+				"reveal": "never",
+				"close": true
 			}
 		},
 		{
@@ -65,6 +107,19 @@
 			"label": "tasks: watch-tests",
 			"dependsOn": ["npm: watch", "npm: watch-tests"],
 			"problemMatcher": []
+		},
+		{
+			"label": "stop",
+			"command": "echo ${input:terminate}",
+			"type": "shell"
+		}
+	],
+	"inputs": [
+		{
+			"id": "terminate",
+			"type": "command",
+			"command": "workbench.action.tasks.terminate",
+			"args": "terminateAll"
 		}
 	]
 }

.vscodeignore

@@ -23,7 +23,6 @@ demo.gif
 # Ignore all webview-ui files except the build directory (https://github.com/microsoft/vscode-webview-ui-toolkit-samples/blob/main/frameworks/hello-world-react-cra/.vscodeignore)
 webview-ui/src/**
 webview-ui/public/**
-webview-ui/scripts/**
 webview-ui/index.html
 webview-ui/README.md
 webview-ui/package.json

CHANGELOG.md

@@ -1,344 +1,480 @@
 # Changelog
 
+## [3.8.2]
+
+-   Fix bug where switching to plan/act would result in VS Code LM/OpenRouter model being reset
+
+## [3.8.0]
+
+-   Add 'Add to Cline' as an option when you right-click in a file or the terminal, making it easier to add context to your current task
+-   Add 'Fix with Cline' code action - when you see a lightbulb icon in your editor, you can now select 'Fix with Cline' to send the  code and associated errors for Cline to fix. (Cursor users can also use the 'Quick Fix (CMD + .)' menu to see this option)
+-   Add Account view to display billing and usage history for Cline account users. You can now keep track of credits used and transaction history right in the extension!
+-   Add 'Sort underling provider routing' setting to Cline/OpenRouter allowing you to sort provider used by throughput, price, latency, or the default (combination of price and uptime)
+-   Improve rich MCP display with dynamic image loading and support for GIFs
+-   Add 'Documentation' menu item to easily access Cline's docs
+-   Add OpenRouter's new usage_details feature for more reliable cost reporting 
+-   Display total space Cline takes on disk next to 'Delete all Tasks' button in History view
+-   Fix 'Context Window Exceeded' error for OpenRouter/Cline Accounts (additional support coming soon)
+-   Fix bug where OpenRouter model ID would be set to invalid value
+-   Add button to delete MCP servers in a failure state
+
+## [3.7.1]
+
+-   Fix issue with 'See more' button in task header not showing when starting new tasks
+-   Fix issue with checkpoints using local git commit hooks
+
+## [3.7.0]
+
+-   Cline now displays selectable options when asking questions or presenting a plan, saving you from having to type out responses!
+-   Add support for a `.clinerules/` directory to load multiple files at once (thanks @ryo-ma!)
+-   Prevent Cline from reading extremely large files into context that would overload context window
+-   Improve checkpoints loading performance and display warning for large projects not suited for checkpoints
+-   Add SambaNova API provider (thanks @saad-noodleseed!)
+-   Add VPC endpoint option for AWS Bedrock profiles (thanks @minorunara!)
+-   Add DeepSeek-R1 to AWS Bedrock (thanks @watany-dev!)
+
+## [3.6.5]
+
+-   Add 'Delete all Task History' button to History view
+-   Add toggle to disable model switching between Plan/Act modes in Settings (new users default to disabled)
+-   Add temperature option to OpenAI Compatible
+-   Add Kotlin support to tree-sitter parser (thanks @fumiya-kume!)
+
+## [3.6.3]
+
+-   Improve QwQ support for Alibaba (thanks @meglinge!) and OpenRouter
+-   Improve diff edit prompting to prevent immediately reverting to write_to_file when a model uses search patterns that don't match anything in the file
+-   Fix bug where new checkpoints system would revert file changes when switching between tasks
+-   Fix issue with incorrect token count for some OpenAI compatible providers
+
+## [3.6.0]
+
+-   Add Cline API as a provider option, allowing new users to sign up and get started with Cline for free
+-   Optimize checkpoints with branch-per-task strategy, reducing storage required and first task load times
+-   Fix problem with Plan/Act toggle keyboard shortcut not working in Windows (thanks @yt3trees!)
+-   Add new Gemini models to GCP Vertex (thanks @shohei-ihaya!) and Claude models AskSage (thanks @swhite24!)
+-   Improve OpenRouter/Cline error reporting
+
+## [3.5.1]
+
+-   Add timeout option to MCP servers
+-   Add Gemini Flash models to Vertex provider (thanks @jpaodev!)
+-   Add prompt caching support for AWS Bedrock provider (thanks @buger!)
+-   Add AskSage provider (thanks @swhite24!)
+
+## [3.5.0]
+
+-   Add 'Enable extended thinking' option for Claude 3.7 Sonnet, with ability to set different budgets for Plan and Act modes
+-   Add support for rich MCP responses with automatic image previews, website thumbnails, and WolframAlpha visualizations
+-   Add language preference option in Advanced Settings
+-   Add xAI Provider Integration with support for all Grok models (thanks @andrewmonostate!)
+-   Fix issue with Linux XDG pointing to incorrect path for Document folder (thanks @jonatkinson!)
+
+## [3.4.10]
+
+-   Add support for GPT-4.5 preview model
+
+## [3.4.9]
+
+-   Add toggle to let users opt-in to anonymous telemetry and error reporting
+
+## [3.4.6]
+
+-   Add support for Claude 3.7 Sonnet
+
+## [3.4.0]
+
+-   Introducing MCP Marketplace! You can now discover and install the best MCP servers right from within the extension, with new servers added regularly
+-   Add mermaid diagram support in Plan mode! You can now see visual representations of mermaid code blocks in chat, and click on them to see an expanded view
+-   Use more visual checkpoints indicators after editing files & running commands
+-   Create a checkpoint at the beginning of each task to easily revert to the initial state
+-   Add 'Terminal' context mention to reference the active terminal's contents
+-   Add 'Git Commits' context mention to reference current working changes or specific commits (thanks @mrubens!)
+-   Send current textfield contents as additional feedback when toggling from Plan to Act Mode, or when hitting 'Approve' button
+-   Add advanced configuration options for OpenAI Compatible (context window, max output, pricing, etc.)
+-   Add Alibaba Qwen 2.5 coder models, VL models, and DeepSeek-R1/V3 support
+-   Improve support for AWS Bedrock Profiles
+-   Fix Mistral provider support for non-codestral models
+-   Add advanced setting to disable browser tool
+-   Add advanced setting to set chromium executable path for browser tool
+
+## [3.3.2]
+
+-   Fix bug where OpenRouter requests would periodically not return cost/token stats, leading to context window limit errors
+-   Make checkpoints more visible and keep track of restored checkpoints
+
+## [3.3.0]
+
+-   Add .clineignore to block Cline from accessing specified file patterns
+-   Add keyboard shortcut + tooltips for Plan/Act toggle
+-   Fix bug where new files won't show up in files dropdown
+-   Add automatic retry for rate limited requests (thanks @ViezeVingertjes!)
+-   Adding reasoning_effort support for o3-mini in Advanced Settings
+-   Added support for AWS provider profiles using the AWS CLI to make the profile, enabling long lived connections to AWS bedrock
+-   Adding Requesty API provider
+-   Add Together API provider
+-   Add Alibaba Qwen API provider (thanks @aicccode!)
+
+## [3.2.13]
+
+-   Add new gemini models gemini-2.0-flash-lite-preview-02-05 and gemini-2.0-flash-001
+-   Add all available Mistral API models (thanks @ViezeVingertjes!)
+-   Add LiteLLM API provider support (thanks @him0!)
+
+## [3.2.12]
+
+-   Fix command chaining for Windows users
+-   Fix reasoning_content error for OpenAI providers
+
+## [3.2.11]
+
+-   Add OpenAI o3-mini model
+
+## [3.2.10]
+
+-   Improve support for DeepSeek-R1 (deepseek-reasoner) model for OpenRouter, OpenAI-compatible, and DeepSeek direct (thanks @Szpadel!)
+-   Show Reasoning tokens for models that support it
+-   Fix issues with switching models between Plan/Act modes
+
 ## [3.2.6]
 
-- Save last used API/model when switching between Plan and Act, for users that like to use different models for each mode
-- New Context Window progress bar in the task header to understand increased cost/generation degradation as the context increases
-- Localize READMEs and add language selector for English, Spanish, German, Chinese, and Japanese
-- Add Advanced Settings to remove MCP prompts from requests to save tokens, enable/disable checkpoints for users that don't use git (more coming soon!)
-- Add Gemini 2.0 Flash Thinking experimental model
-- Allow new users to subscribe to mailing list to get notified when new Accounts option is available
+-   Save last used API/model when switching between Plan and Act, for users that like to use different models for each mode
+-   New Context Window progress bar in the task header to understand increased cost/generation degradation as the context increases
+-   Localize READMEs and add language selector for English, Spanish, German, Chinese, and Japanese
+-   Add Advanced Settings to remove MCP prompts from requests to save tokens, enable/disable checkpoints for users that don't use git (more coming soon!)
+-   Add Gemini 2.0 Flash Thinking experimental model
+-   Allow new users to subscribe to mailing list to get notified when new Accounts option is available
 
 ## [3.2.5]
 
-- Use yellow textfield outline in Plan mode to better distinguish from Act mode
+-   Use yellow textfield outline in Plan mode to better distinguish from Act mode
 
 ## [3.2.3]
 
-- Add DeepSeek-R1 (deepseek-reasoner) model support with proper parameter handling (thanks @slavakurilyak!)
+-   Add DeepSeek-R1 (deepseek-reasoner) model support with proper parameter handling (thanks @slavakurilyak!)
 
 ## [3.2.0]
 
-- Add Plan/Act mode toggle to let you plan tasks with Cline before letting him get to work
-- Easily switch between API providers and models using a new popup menu under the chat field
-- Add VS Code LM API provider to run models provided by other VS Code extensions (e.g. GitHub Copilot). Shoutout to @julesmons, @RaySinner, and @MrUbens for putting this together!
-- Add on/off toggle for MCP servers to disable them when not in use. Thanks @MrUbens!
-- Add Auto-approve option for individual tools in MCP servers. Thanks @MrUbens!
+-   Add Plan/Act mode toggle to let you plan tasks with Cline before letting him get to work
+-   Easily switch between API providers and models using a new popup menu under the chat field
+-   Add VS Code LM API provider to run models provided by other VS Code extensions (e.g. GitHub Copilot). Shoutout to @julesmons, @RaySinner, and @MrUbens for putting this together!
+-   Add on/off toggle for MCP servers to disable them when not in use. Thanks @MrUbens!
+-   Add Auto-approve option for individual tools in MCP servers. Thanks @MrUbens!
 
 ## [3.1.10]
 
-- New icon!
+-   New icon!
 
 ## [3.1.9]
 
-- Add Mistral API provider with codestral-latest model
+-   Add Mistral API provider with codestral-latest model
 
 ## [3.1.7]
 
-- Add ability to change viewport size and headless mode when Cline asks to launch the browser
+-   Add ability to change viewport size and headless mode when Cline asks to launch the browser
 
 ## [3.1.6]
 
-- Fix bug where filepaths with Chinese characters would not show up in context mention menu (thanks @chi-chat!)
-- Update Anthropic model prices (thanks @timoteostewart!)
+-   Fix bug where filepaths with Chinese characters would not show up in context mention menu (thanks @chi-chat!)
+-   Update Anthropic model prices (thanks @timoteostewart!)
 
 ## [3.1.5]
 
-- Fix bug where Cline couldn't read "@/" import path aliases from tool results
+-   Fix bug where Cline couldn't read "@/" import path aliases from tool results
 
 ## [3.1.4]
 
-- Fix issue where checkpoints would not work for users with git commit signing enabled globally
+-   Fix issue where checkpoints would not work for users with git commit signing enabled globally
 
 ## [3.1.2]
 
-- Fix issue where LFS files would be not be ignored when creating checkpoints
+-   Fix issue where LFS files would be not be ignored when creating checkpoints
 
 ## [3.1.0]
 
-- Added checkpoints: Snapshots of workspace are automatically created whenever Cline uses a tool
-  - Compare changes: Hover over any tool use to see a diff between the snapshot and current workspace state
-  - Restore options: Choose to restore just the task state, just the workspace files, or both
-- New 'See new changes' button appears after task completion, providing an overview of all workspace changes
-- Task header now shows disk space usage with a delete button to help manage snapshot storage
+-   Added checkpoints: Snapshots of workspace are automatically created whenever Cline uses a tool
+    -   Compare changes: Hover over any tool use to see a diff between the snapshot and current workspace state
+    -   Restore options: Choose to restore just the task state, just the workspace files, or both
+-   New 'See new changes' button appears after task completion, providing an overview of all workspace changes
+-   Task header now shows disk space usage with a delete button to help manage snapshot storage
 
 ## [3.0.12]
 
-- Fix DeepSeek API cost reporting (input price is 0 since it's all either a cache read or write, different than how Anthropic reports cache usage)
+-   Fix DeepSeek API cost reporting (input price is 0 since it's all either a cache read or write, different than how Anthropic reports cache usage)
 
 ## [3.0.11]
 
-- Emphasize auto-formatting done by the editor in file edit responses for more reliable diff editing
+-   Emphasize auto-formatting done by the editor in file edit responses for more reliable diff editing
 
 ## [3.0.10]
 
-- Add DeepSeek provider to API Provider options
-- Fix context window limit errors for DeepSeek v3
+-   Add DeepSeek provider to API Provider options
+-   Fix context window limit errors for DeepSeek v3
 
 ## [3.0.9]
 
-- Fix bug where DeepSeek v3 would incorrectly escape HTML entities in diff edits
+-   Fix bug where DeepSeek v3 would incorrectly escape HTML entities in diff edits
 
 ## [3.0.8]
 
-- Mitigate DeepSeek v3 diff edit errors by adding 'auto-formatting considerations' to system prompt, encouraging model to use updated file contents as reference point for SEARCH blocks
+-   Mitigate DeepSeek v3 diff edit errors by adding 'auto-formatting considerations' to system prompt, encouraging model to use updated file contents as reference point for SEARCH blocks
 
 ## [3.0.7]
 
-- Revert to using batched file watcher to fix crash when many files would be created at once
+-   Revert to using batched file watcher to fix crash when many files would be created at once
 
 ## [3.0.6]
 
-- Fix bug where some files would be missing in the `@` context mention menu
-- Add Bedrock support in additional regions
-- Diff edit improvements
-- Add OpenRouter's middle-out transform for models that don't use prompt caching (prevents context window limit errors, but cannot be applied to models like Claude since it would continuously break the cache)
+-   Fix bug where some files would be missing in the `@` context mention menu
+-   Add Bedrock support in additional regions
+-   Diff edit improvements
+-   Add OpenRouter's middle-out transform for models that don't use prompt caching (prevents context window limit errors, but cannot be applied to models like Claude since it would continuously break the cache)
 
 ## [3.0.4]
 
-- Fix bug where gemini models would add code block artifacts to the end of text content
-- Fix context mention menu visual issues on light themes
+-   Fix bug where gemini models would add code block artifacts to the end of text content
+-   Fix context mention menu visual issues on light themes
 
 ## [3.0.2]
 
-- Adds block anchor matching for more reliable diff edits (if 3+ lines, first and last line are used as anchors to search for)
-- Add instruction to system prompt to use complete lines in diff edits to work properly with fallback strategies
-- Improves diff edit error handling
-- Adds new Gemini models
+-   Adds block anchor matching for more reliable diff edits (if 3+ lines, first and last line are used as anchors to search for)
+-   Add instruction to system prompt to use complete lines in diff edits to work properly with fallback strategies
+-   Improves diff edit error handling
+-   Adds new Gemini models
 
 ## [3.0.0]
 
-- Cline now uses a search & replace diff based approach when editing large files to prevent code deletion issues.
-- Adds support for a more comprehensive auto-approve configuration, allowing you to specify which tools require approval and which don't.
-- Adds ability to enable system notifications for when Cline needs approval or completes a task.
-- Adds support for a root-level `.clinerules` file that can be used to specify custom instructions for the project.
+-   Cline now uses a search & replace diff based approach when editing large files to prevent code deletion issues.
+-   Adds support for a more comprehensive auto-approve configuration, allowing you to specify which tools require approval and which don't.
+-   Adds ability to enable system notifications for when Cline needs approval or completes a task.
+-   Adds support for a root-level `.clinerules` file that can be used to specify custom instructions for the project.
 
 ## [2.2.0]
 
-- Add support for Model Context Protocol (MCP), enabling Cline to use custom tools like web-search tool or GitHub tool
-- Add MCP server management tab accessible via the server icon in the menu bar
-- Add ability for Cline to dynamically create new MCP servers based on user requests (e.g., "add a tool that gets the latest npm docs")
+-   Add support for Model Context Protocol (MCP), enabling Cline to use custom tools like web-search tool or GitHub tool
+-   Add MCP server management tab accessible via the server icon in the menu bar
+-   Add ability for Cline to dynamically create new MCP servers based on user requests (e.g., "add a tool that gets the latest npm docs")
 
 ## [2.1.6]
 
-- Add LM Studio as an API provider option (make sure to start the LM Studio server to use it with the extension!)
+-   Add LM Studio as an API provider option (make sure to start the LM Studio server to use it with the extension!)
 
 ## [2.1.5]
 
-- Add support for prompt caching for new Claude model IDs on OpenRouter (e.g. `anthropic/claude-3.5-sonnet-20240620`)
+-   Add support for prompt caching for new Claude model IDs on OpenRouter (e.g. `anthropic/claude-3.5-sonnet-20240620`)
 
 ## [2.1.4]
 
-- AWS Bedrock fixes (add missing regions, support for cross-region inference, and older Sonnet model for regions where new model is not available)
+-   AWS Bedrock fixes (add missing regions, support for cross-region inference, and older Sonnet model for regions where new model is not available)
 
 ## [2.1.3]
 
-- Add support for Claude 3.5 Haiku, 66% cheaper than Sonnet with similar intelligence
+-   Add support for Claude 3.5 Haiku, 66% cheaper than Sonnet with similar intelligence
 
 ## [2.1.2]
 
-- Misc. bug fixes
-- Update README with new browser feature
+-   Misc. bug fixes
+-   Update README with new browser feature
 
 ## [2.1.1]
 
-- Add stricter prompt to prevent Cline from editing files during a browser session without first closing the browser
+-   Add stricter prompt to prevent Cline from editing files during a browser session without first closing the browser
 
 ## [2.1.0]
 
-- Cline now uses Anthropic's new "Computer Use" feature to launch a browser, click, type, and scroll. This gives him more autonomy in runtime debugging, end-to-end testing, and even general web use. Try asking "Look up the weather in Colorado" to see it in action! (Available with Claude 3.5 Sonnet v2)
+-   Cline now uses Anthropic's new "Computer Use" feature to launch a browser, click, type, and scroll. This gives him more autonomy in runtime debugging, end-to-end testing, and even general web use. Try asking "Look up the weather in Colorado" to see it in action! (Available with Claude 3.5 Sonnet v2)
 
 ## [2.0.19]
 
-- Fix model info for Claude 3.5 Sonnet v1 on OpenRouter
+-   Fix model info for Claude 3.5 Sonnet v1 on OpenRouter
 
 ## [2.0.18]
 
-- Add support for both v1 and v2 of Claude 3.5 Sonnet for GCP Vertex and AWS Bedrock (for cases where the new model is not enabled yet or unavailable in your region)
+-   Add support for both v1 and v2 of Claude 3.5 Sonnet for GCP Vertex and AWS Bedrock (for cases where the new model is not enabled yet or unavailable in your region)
 
 ## [2.0.17]
 
-- Update Anthropic model IDs
+-   Update Anthropic model IDs
 
 ## [2.0.16]
 
-- Adjustments to system prompt
+-   Adjustments to system prompt
 
 ## [2.0.15]
 
-- Fix bug where modifying Cline's edits would lead him to try to re-apply the edits
-- Fix bug where weaker models would display file contents before using the write_to_file tool
-- Fix o1-mini and o1-preview errors when using OpenAI native
+-   Fix bug where modifying Cline's edits would lead him to try to re-apply the edits
+-   Fix bug where weaker models would display file contents before using the write_to_file tool
+-   Fix o1-mini and o1-preview errors when using OpenAI native
 
 ## [2.0.14]
 
-- Gracefully cancel requests while stream could be hanging
+-   Gracefully cancel requests while stream could be hanging
 
 ## [2.0.13]
 
-- Detect code omission and show warning with troubleshooting link
+-   Detect code omission and show warning with troubleshooting link
 
 ## [2.0.12]
 
-- Keep cursor out of the way during file edit streaming animation
+-   Keep cursor out of the way during file edit streaming animation
 
 ## [2.0.11]
 
-- Adjust prompts around read_file to prevent re-reading files unnecessarily
+-   Adjust prompts around read_file to prevent re-reading files unnecessarily
 
 ## [2.0.10]
 
-- More adjustments to system prompt to prevent lazy coding
+-   More adjustments to system prompt to prevent lazy coding
 
 ## [2.0.9]
 
-- Update system prompt to try to prevent Cline from lazy coding (`// rest of code here...`)
+-   Update system prompt to try to prevent Cline from lazy coding (`// rest of code here...`)
 
 ## [2.0.8]
 
-- Fix o1-mini and o1-preview for OpenAI
-- Fix diff editor not opening sometimes in slow environments like project idx
+-   Fix o1-mini and o1-preview for OpenAI
+-   Fix diff editor not opening sometimes in slow environments like project idx
 
 ## [2.0.7]
 
-- Misc. bug fixes
+-   Misc. bug fixes
 
 ## [2.0.6]
 
-- Update URLs to https://github.com/cline/cline
+-   Update URLs to https://github.com/cline/cline
 
 ## [2.0.5]
 
-- Fixed bug where Cline's edits would stream into the active tab when switching tabs during a write_to_file
-- Added explanation in task continuation prompt that an interrupted write_to_file reverts the file to its original contents, preventing unnecessary re-reads
-- Fixed non-first chunk error handling in case stream fails mid-way through
+-   Fixed bug where Cline's edits would stream into the active tab when switching tabs during a write_to_file
+-   Added explanation in task continuation prompt that an interrupted write_to_file reverts the file to its original contents, preventing unnecessary re-reads
+-   Fixed non-first chunk error handling in case stream fails mid-way through
 
 ## [2.0.0]
 
-- New name! Meet Cline, an AI assistant that can use your CLI and Editor
-- Responses are now streamed with a yellow text decoration animation to keep track of Cline's progress as he edits files
-- New Cancel button to give Cline feedback if he goes off in the wrong direction, giving you more control over tasks
-- Re-imagined tool calling prompt resulting in ~40% fewer requests to accomplish tasks + better performance with other models
-- Search and use any model with OpenRouter
+-   New name! Meet Cline, an AI assistant that can use your CLI and Editor
+-   Responses are now streamed with a yellow text decoration animation to keep track of Cline's progress as he edits files
+-   New Cancel button to give Cline feedback if he goes off in the wrong direction, giving you more control over tasks
+-   Re-imagined tool calling prompt resulting in ~40% fewer requests to accomplish tasks + better performance with other models
+-   Search and use any model with OpenRouter
 
 ## [1.9.7]
 
-- Only auto-include error diagnostics after file edits, removed warnings to keep Claude from getting distracted in projects with strict linting rules
+-   Only auto-include error diagnostics after file edits, removed warnings to keep Claude from getting distracted in projects with strict linting rules
 
 ## [1.9.6]
 
-- Added support for new Google Gemini models `gemini-1.5-flash-002` and `gemini-1.5-pro-002`
-- Updated system prompt to be more lenient when terminal output doesn't stream back properly
-- Adjusted system prompt to prevent overuse of the inspect_site tool
-- Increased global line height for improved readability
+-   Added support for new Google Gemini models `gemini-1.5-flash-002` and `gemini-1.5-pro-002`
+-   Updated system prompt to be more lenient when terminal output doesn't stream back properly
+-   Adjusted system prompt to prevent overuse of the inspect_site tool
+-   Increased global line height for improved readability
 
 ## [1.9.0]
 
-- Claude can now use a browser! This update adds a new `inspect_site` tool that captures screenshots and console logs from websites (including localhost), making it easier for Claude to troubleshoot issues on his own.
-- Improved automatic linter/compiler debugging by only sending Claude new errors that result from his edits, rather than reporting all workspace problems.
+-   Claude can now use a browser! This update adds a new `inspect_site` tool that captures screenshots and console logs from websites (including localhost), making it easier for Claude to troubleshoot issues on his own.
+-   Improved automatic linter/compiler debugging by only sending Claude new errors that result from his edits, rather than reporting all workspace problems.
 
 ## [1.8.0]
 
-- You can now use '@' in the textarea to add context!
-    - @url: Paste in a URL for the extension to fetch and convert to markdown, useful when you want to give Claude the latest docs!
-    - @problems: Add workspace errors and warnings for Claude to fix, no more back-and-forth about debugging
-    - @file: Adds a file's contents so you don't have to waste API requests approving read file (+ type to search files)
-    - @folder: Adds folder's files all at once to speed up your workflow even more
+-   You can now use '@' in the textarea to add context!
+    -   @url: Paste in a URL for the extension to fetch and convert to markdown, useful when you want to give Claude the latest docs!
+    -   @problems: Add workspace errors and warnings for Claude to fix, no more back-and-forth about debugging
+    -   @file: Adds a file's contents so you don't have to waste API requests approving read file (+ type to search files)
+    -   @folder: Adds folder's files all at once to speed up your workflow even more
 
 ## [1.7.0]
 
-- Adds problems monitoring to keep Claude updated on linter/compiler/build issues, letting him proactively fix errors on his own! (adding missing imports, fixing type errors, etc.)
+-   Adds problems monitoring to keep Claude updated on linter/compiler/build issues, letting him proactively fix errors on his own! (adding missing imports, fixing type errors, etc.)
 
 ## [1.6.5]
 
-- Adds support for OpenAI o1, Azure OpenAI, and Google Gemini (free for up to 15 requests per minute!)
-- Task header can now be collapsed to provide more space for viewing conversations
-- Adds fuzzy search and sorting to Task History, making it easier to find specific tasks
+-   Adds support for OpenAI o1, Azure OpenAI, and Google Gemini (free for up to 15 requests per minute!)
+-   Task header can now be collapsed to provide more space for viewing conversations
+-   Adds fuzzy search and sorting to Task History, making it easier to find specific tasks
 
 ## [1.6.0]
 
-- Commands now run directly in your terminal thanks to VSCode 1.93's new shell integration updates! Plus a new 'Proceed While Running' button to let Claude continue working while commands run, sending him new output along the way (i.e. letting him react to server errors as he edits files)
+-   Commands now run directly in your terminal thanks to VSCode 1.93's new shell integration updates! Plus a new 'Proceed While Running' button to let Claude continue working while commands run, sending him new output along the way (i.e. letting him react to server errors as he edits files)
 
 ## [1.5.27]
 
-- Claude's changes now appear in your file's Timeline, allowing you to easily view a diff of each edit. This is especially helpful if you want to revert to a previous version. No need for git—everything is tracked by VSCode's local history!
-- Updated system prompt to keep Claude from re-reading files unnecessarily
+-   Claude's changes now appear in your file's Timeline, allowing you to easily view a diff of each edit. This is especially helpful if you want to revert to a previous version. No need for git—everything is tracked by VSCode's local history!
+-   Updated system prompt to keep Claude from re-reading files unnecessarily
 
 ## [1.5.19]
 
-- Adds support for OpenAI compatible API providers (e.g. Ollama!)
+-   Adds support for OpenAI compatible API providers (e.g. Ollama!)
 
 ## [1.5.13]
 
-- New terminal emulator! When Claude runs commands, you can now type directly in the terminal (+ support for Python environments)
-- Adds search to Task History
+-   New terminal emulator! When Claude runs commands, you can now type directly in the terminal (+ support for Python environments)
+-   Adds search to Task History
 
 ## [1.5.6]
 
-- You can now edit Claude's changes before accepting! When he edits or creates a file, you can modify his changes directly in the right side of the diff view (+ hover over the 'Revert Block' arrow button in the center to undo `// rest of code here` shenanigans)
+-   You can now edit Claude's changes before accepting! When he edits or creates a file, you can modify his changes directly in the right side of the diff view (+ hover over the 'Revert Block' arrow button in the center to undo `// rest of code here` shenanigans)
 
 ## [1.5.4]
 
-- Adds support for reading .pdf and .docx files (try "turn my business_plan.docx into a company website")
+-   Adds support for reading .pdf and .docx files (try "turn my business_plan.docx into a company website")
 
 ## [1.5.0]
 
-- Adds new `search_files` tool that lets Claude perform regex searches in your project, making it easy for him to refactor code, address TODOs and FIXMEs, remove dead code, and more!
+-   Adds new `search_files` tool that lets Claude perform regex searches in your project, making it easy for him to refactor code, address TODOs and FIXMEs, remove dead code, and more!
 
 ## [1.4.0]
 
-- Adds "Always allow read-only operations" setting to let Claude read files and view directories without needing approval (off by default)
-- Implement sliding window context management to keep tasks going past 200k tokens
-- Adds Google Cloud Vertex AI support and updates Claude 3.5 Sonnet max output to 8192 tokens for all providers.
-- Improves system prompt to gaurd against lazy edits (less "//rest of code here")
+-   Adds "Always allow read-only operations" setting to let Claude read files and view directories without needing approval (off by default)
+-   Implement sliding window context management to keep tasks going past 200k tokens
+-   Adds Google Cloud Vertex AI support and updates Claude 3.5 Sonnet max output to 8192 tokens for all providers.
+-   Improves system prompt to gaurd against lazy edits (less "//rest of code here")
 
 ## [1.3.0]
 
-- Adds task history
+-   Adds task history
 
 ## [1.2.0]
 
-- Adds support for Prompt Caching to significantly reduce costs and response times (currently only available through Anthropic API for Claude 3.5 Sonnet and Claude 3.0 Haiku)
+-   Adds support for Prompt Caching to significantly reduce costs and response times (currently only available through Anthropic API for Claude 3.5 Sonnet and Claude 3.0 Haiku)
 
 ## [1.1.1]
 
-- Adds option to choose other Claude models (+ GPT-4o, DeepSeek, and Mistral if you use OpenRouter)
-- Adds option to add custom instructions to the end of the system prompt
+-   Adds option to choose other Claude models (+ GPT-4o, DeepSeek, and Mistral if you use OpenRouter)
+-   Adds option to add custom instructions to the end of the system prompt
 
 ## [1.1.0]
 
-- Paste images in chat to use Claude's vision capabilities and turn mockups into fully functional applications or fix bugs with screenshots
+-   Paste images in chat to use Claude's vision capabilities and turn mockups into fully functional applications or fix bugs with screenshots
 
 ## [1.0.9]
 
-- Add support for OpenRouter and AWS Bedrock
+-   Add support for OpenRouter and AWS Bedrock
 
 ## [1.0.8]
 
-- Shows diff view of new or edited files right in the editor
+-   Shows diff view of new or edited files right in the editor
 
 ## [1.0.7]
 
-- Replace `list_files` and `analyze_project` with more explicit `list_files_top_level`, `list_files_recursive`, and `view_source_code_definitions_top_level` to get source code definitions only for files relevant to the task
+-   Replace `list_files` and `analyze_project` with more explicit `list_files_top_level`, `list_files_recursive`, and `view_source_code_definitions_top_level` to get source code definitions only for files relevant to the task
 
 ## [1.0.6]
 
-- Interact with CLI commands by sending messages to stdin and terminating long-running processes like servers
-- Export tasks to markdown files (useful as context for future tasks)
+-   Interact with CLI commands by sending messages to stdin and terminating long-running processes like servers
+-   Export tasks to markdown files (useful as context for future tasks)
 
 ## [1.0.5]
 
-- Claude now has context about vscode's visible editors and opened tabs
+-   Claude now has context about vscode's visible editors and opened tabs
 
 ## [1.0.4]
 
-- Open in the editor (using menu bar or `Claude Dev: Open In New Tab` in command palette) to see how Claude updates your workspace more clearly
-- New `analyze_project` tool to help Claude get a comprehensive overview of your project's source code definitions and file structure
-- Provide feedback to tool use like terminal commands and file edits
-- Updated max output tokens to 8192 so less lazy coding (`// rest of code here...`)
-- Added ability to retry failed API requests (helpful for rate limits)
-- Quality of life improvements like markdown rendering, memory optimizations, better theme support
+-   Open in the editor (using menu bar or `Claude Dev: Open In New Tab` in command palette) to see how Claude updates your workspace more clearly
+-   New `analyze_project` tool to help Claude get a comprehensive overview of your project's source code definitions and file structure
+-   Provide feedback to tool use like terminal commands and file edits
+-   Updated max output tokens to 8192 so less lazy coding (`// rest of code here...`)
+-   Added ability to retry failed API requests (helpful for rate limits)
+-   Quality of life improvements like markdown rendering, memory optimizations, better theme support
 
 ## [0.0.6]
 
-- Initial release
+-   Initial release

CONTRIBUTING.md

@@ -56,20 +56,30 @@ Anyone can contribute code to Cline, but we ask that you follow these guidelines
     - Update existing tests if your changes affect them
     - Include both unit tests and integration tests where appropriate
 
-4. **Commit Guidelines**
+4. **Version Management with Changesets**
+
+    - Create a changeset for any user-facing changes using `npm run changeset`
+    - Choose the appropriate version bump:
+        - `major` for breaking changes (1.0.0 → 2.0.0)
+        - `minor` for new features (1.0.0 → 1.1.0)
+        - `patch` for bug fixes (1.0.0 → 1.0.1)
+    - Write clear, descriptive changeset messages that explain the impact
+    - Documentation-only changes don't require changesets
+
+5. **Commit Guidelines**
 
     - Write clear, descriptive commit messages
     - Use conventional commit format (e.g., "feat:", "fix:", "docs:")
     - Reference relevant issues in commits using #issue-number
 
-5. **Before Submitting**
+6. **Before Submitting**
 
     - Rebase your branch on the latest main
     - Ensure your branch builds successfully
     - Double-check all tests are passing
     - Review your changes for any debugging code or console logs
 
-6. **Pull Request Description**
+7. **Pull Request Description**
     - Clearly describe what your changes do
     - Include steps to test the changes
     - List any breaking changes

LICENSE

@@ -186,7 +186,7 @@
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright 2024 Cline Bot Inc.
+   Copyright 2025 Cline Bot Inc.
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
@@ -198,4 +198,4 @@
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
-   limitations under the License.
+   limitations under the License.

README.md

@@ -1,5 +1,5 @@
 <div align="center"><sub>
-English | <a href="https://github.com/cline/cline/blob/main/locales/es/README.md" target="_blank">Español</a> | <a href="https://github.com/cline/cline/blob/main/locales/de/README.md" target="_blank">Deutsch</a> | <a href="https://github.com/cline/cline/blob/main/locales/ja/README.md" target="_blank">日本語</a> | <a href="https://github.com/cline/cline/blob/main/locales/zh-cn/README.md" target="_blank">简体中文</a> | <a href="https://github.com/cline/cline/blob/main/locales/zh-tw/README.md" target="_blank">繁體中文</a>
+English | <a href="https://github.com/cline/cline/blob/main/locales/es/README.md" target="_blank">Español</a> | <a href="https://github.com/cline/cline/blob/main/locales/de/README.md" target="_blank">Deutsch</a> | <a href="https://github.com/cline/cline/blob/main/locales/ja/README.md" target="_blank">日本語</a> | <a href="https://github.com/cline/cline/blob/main/locales/zh-cn/README.md" target="_blank">简体中文</a> | <a href="https://github.com/cline/cline/blob/main/locales/zh-tw/README.md" target="_blank">繁體中文</a> | <a href="https://github.com/cline/cline/blob/main/locales/ko/README.md" target="_blank">한국어</a>
 </sub></div>
 
 # Cline – \#1 on OpenRouter
@@ -24,7 +24,7 @@ English | <a href="https://github.com/cline/cline/blob/main/locales/es/README.md
 <a href="https://github.com/cline/cline/discussions/categories/feature-requests?discussions_q=is%3Aopen+category%3A%22Feature+Requests%22+sort%3Atop" target="_blank"><strong>Feature Requests</strong></a>
 </td>
 <td align="center">
-<a href="https://cline.bot/join-us" target="_blank"><strong>We're Hiring!</strong></a>
+<a href="https://docs.cline.bot/getting-started/getting-started-new-coders" target="_blank"><strong>Getting Started</strong></a>
 </td>
 </tbody>
 </table>
@@ -32,7 +32,7 @@ English | <a href="https://github.com/cline/cline/blob/main/locales/es/README.md
 
 Meet Cline, an AI assistant that can use your **CLI** a**N**d **E**ditor.
 
-Thanks to [Claude 3.5 Sonnet's agentic coding capabilities](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf), Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.
+Thanks to [Claude 3.7 Sonnet's agentic coding capabilities](https://www.anthropic.com/claude/sonnet), Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.
 
 1. Enter your task and add images to convert mockups into functional apps or fix bugs with screenshots.
 2. Cline starts by analyzing your file structure & source code ASTs, running regex searches, and reading relevant files to get up to speed in existing projects. By carefully managing what information is added to context, Cline can provide valuable assistance even for large, complex projects without overwhelming the context window.
@@ -187,4 +187,4 @@ To contribute to the project, start with our [Contributing Guide](CONTRIBUTING.m
 
 ## License
 
-[Apache 2.0 © 2024 Cline Bot Inc.](./LICENSE)
+[Apache 2.0 © 2025 Cline Bot Inc.](./LICENSE)

docs/PRIVACY.md

@@ -1,99 +1 @@
-# Cline Privacy Policy
-
-Cline Bot Inc. ("Cline," "we," "our," and/or "us") values the privacy of individuals who use our VS Code extension and related services (collectively, our "Services"). This privacy policy explains how we collect, use, and disclose information from users of our Services.
-
-## Key Points
-
--   Cline operates entirely client-side as a VS Code extension
--   No code or data is collected, stored, or transmitted to Cline's servers
--   Your data is only sent to your chosen AI provider (e.g., Anthropic, OpenAI) when you explicitly request assistance
--   All processing happens locally on your machine
--   API keys are stored securely in VS Code's built-in settings storage
-
-## Information We Process
-
-### A. Information You Provide
-
--   **API Keys**: When you choose to use certain AI model providers (OpenRouter, Anthropic, OpenAI, etc.), you provide API keys. These are stored securely and locally in your VS Code settings.
--   **Communications**: If you contact us directly (e.g., via Discord or email), we may receive information like your name, email address, and message contents.
-
-### B. Information Processing
-
-Cline functions solely as a client-side VS Code extension that facilitates communication between your editor and your chosen AI model provider:
-
-1. **File Contents**:
-
-    - Only sent to your chosen AI provider when you explicitly request assistance
-    - Never stored or transmitted to Cline's servers
-    - Only the specific files/content you select are included
-
-2. **Terminal Commands**:
-
-    - Processed entirely locally on your machine
-    - Require explicit user confirmation before execution
-    - No command history is transmitted to Cline
-
-3. **Browser Integration**:
-    - Screenshots and console logs are processed locally
-    - Temporary data is cleared after task completion
-
-## Data Security
-
-1. **Local-Only Processing**:
-
-    - All operations happen on your local machine
-    - No central servers or data collection
-    - No telemetry or usage statistics gathered
-    - No account creation required
-
-2. **API Key Security**:
-
-    - Stored using VS Code's secure settings storage system
-    - Never transmitted to Cline's servers
-    - You can remove/modify keys at any time
-
-3. **User Control**:
-    - Explicit approval required for file changes
-    - Terminal commands require confirmation
-    - Browser actions need explicit permission
-    - You control which AI provider to use
-
-## Communication with AI Providers
-
-When you request assistance:
-
-1. Selected content is sent directly to your chosen AI provider
-2. No data passes through Cline's servers
-3. Provider's own privacy policy applies to this communication:
-    - [Anthropic Privacy Policy](https://www.anthropic.com/privacy)
-    - [OpenAI Privacy Policy](https://openai.com/privacy)
-    - [OpenRouter Privacy Policy](https://openrouter.ai/privacy)
-
-## Error Handling & Debugging
-
--   Error logs are processed locally
--   No automatic error reporting to Cline
--   You control what information to include when reporting issues
-
-## Children's Privacy
-
-We do not knowingly collect, maintain, or use personal information from children under 18 years of age, and no part of our Service(s) is directed to children. If you learn that a child has provided us with personal information in violation of this Privacy Policy, then you may alert us at support@cline.bot.
-
-## Changes to Privacy Policy
-
-We will post any changes to this policy on our GitHub repository. Significant changes will be announced in our Discord community.
-
-## Security Concerns & Auditing
-
--   Cline is open source and available for security audit
--   Our client-side architecture ensures no central point of data collection
--   You can inspect exactly what data is being sent to AI providers
--   Enterprise users can implement additional access controls through VS Code
-
-## Contact Us
-
-For privacy-related questions or concerns:
-
--   Open an issue on our [GitHub repository](https://github.com/cline/cline)
--   Join our [Discord community](https://discord.gg/cline)
--   Email: support@cline.bot
+See [https://cline.bot/privacy](https://cline.bot/privacy) for our privacy policy.

docs/README.md

@@ -28,7 +28,7 @@ Welcome to the Cline documentation - your comprehensive guide to using and exten
 
 -   **Interested in contributing?** We welcome your input:
     -   Feel free to submit a pull request
-    -   [Contribution Guidelines](CONTRIBUTING.md)
+    -   [Contribution Guidelines](../CONTRIBUTING.md)
 
 ## Additional Resources
 

docs/architecture/README.md

@@ -0,0 +1,43 @@
+# Cline Extension Architecture
+
+This directory contains architectural documentation for the Cline VSCode extension.
+
+## Extension Architecture Diagram
+
+The [extension-architecture.mmd](./extension-architecture.mmd) file contains a Mermaid diagram showing the high-level architecture of the Cline extension. The diagram illustrates:
+
+1. **Core Extension**
+   - Extension entry point and main classes
+   - State management through VSCode's global state and secrets storage
+   - Core business logic in the Cline class
+
+2. **Webview UI**
+   - React-based user interface
+   - State management through ExtensionStateContext
+   - Component hierarchy
+
+3. **Storage**
+   - Task-specific storage for history and state
+   - Git-based checkpoint system for file changes
+
+4. **Data Flow**
+   - Core extension data flow between components
+   - Webview UI data flow
+   - Bidirectional communication between core and webview
+
+## Viewing the Diagram
+
+To view the diagram:
+1. Install a Mermaid diagram viewer extension in VSCode
+2. Open extension-architecture.mmd
+3. Use the extension's preview feature to render the diagram
+
+You can also view the diagram on GitHub, which has built-in Mermaid rendering support.
+
+## Color Scheme
+
+The diagram uses a high-contrast color scheme for better visibility:
+- Pink (#ff0066): Global state and secrets storage components
+- Blue (#0066ff): Extension state context
+- Green (#00cc66): Cline provider
+- All components use white text for maximum readability

docs/architecture/extension-architecture.mmd

@@ -0,0 +1,41 @@
+graph TB
+    subgraph VSCode Extension Host
+        subgraph Core Extension
+            ExtensionEntry[Extension Entry<br/>src/extension.ts]
+            ClineProvider[ClineProvider<br/>src/core/webview/ClineProvider.ts]
+            ClineClass[Cline Class<br/>src/core/Cline.ts]
+            GlobalState[VSCode Global State]
+            SecretsStorage[VSCode Secrets Storage]
+        end
+
+        subgraph Webview UI
+            WebviewApp[React App<br/>webview-ui/src/App.tsx]
+            ExtStateContext[ExtensionStateContext<br/>webview-ui/src/context/ExtensionStateContext.tsx]
+            ReactComponents[React Components]
+        end
+
+        subgraph Storage
+            TaskStorage[Task Storage<br/>Per-Task Files & History]
+            CheckpointSystem[Git-based Checkpoints]
+        end
+    end
+
+    %% Core Extension Data Flow
+    ExtensionEntry --> ClineProvider
+    ClineProvider --> ClineClass
+    ClineClass --> GlobalState
+    ClineClass --> SecretsStorage
+    ClineClass --> TaskStorage
+    ClineClass --> CheckpointSystem
+
+    %% Webview Data Flow
+    WebviewApp --> ExtStateContext
+    ExtStateContext --> ReactComponents
+
+    %% Bidirectional Communication
+    ClineProvider <-->|postMessage| ExtStateContext
+
+    style GlobalState fill:#ff0066,stroke:#333,stroke-width:2px,color:#ffffff
+    style SecretsStorage fill:#ff0066,stroke:#333,stroke-width:2px,color:#ffffff
+    style ExtStateContext fill:#0066ff,stroke:#333,stroke-width:2px,color:#ffffff
+    style ClineProvider fill:#00cc66,stroke:#333,stroke-width:2px,color:#ffffff

docs/cline-customization/clineignore.md

@@ -0,0 +1,54 @@
+### .clineignore Support
+
+To give you more control over which files are accessible to Cline, we've implemented `.clineignore` functionality, similar to `.gitignore`. This allows you to specify files and directories that Cline should **not** access or process. This is useful for:
+
+*   **Privacy:** Preventing Cline from accessing sensitive or private files in your workspace.
+*   **Performance:**  Excluding large directories or files that are irrelevant to your tasks, potentially improving the efficiency of Cline.
+*   **Context Management:**  Focusing Cline's attention on the relevant parts of your project.
+
+**How to use `.clineignore`**
+
+1.  **Create a `.clineignore` file:** In the root directory of your workspace (the same level as your `.vscode` folder, or the top level folder you opened in VS Code), create a new file named `.clineignore`.
+
+2.  **Define ignore patterns:** Open the `.clineignore` file and specify the patterns for files and directories you want Cline to ignore. The syntax is the same as `.gitignore`:
+
+    *   Each line in the file represents a pattern.
+    *   **Standard glob patterns are supported:**
+        *   `*` matches zero or more characters
+        *   `?` matches one character
+        *   `[]` matches a character range
+        *   `**` matches any number of directories and subdirectories.
+
+    *   **Directory patterns:** Append `/` to the end of a pattern to specify a directory.
+    *   **Negation patterns:** Start a pattern with `!` to negate (un-ignore) a previously ignored pattern.
+    *   **Comments:** Start a line with `#` to add comments.
+
+    **Example `.clineignore` file:**
+
+    ```
+    # Ignore log files
+    *.log
+
+    # Ignore the entire 'node_modules' directory
+    node_modules/
+
+    # Ignore all files in the 'temp' directory and its subdirectories
+    temp/**
+
+    # But DO NOT ignore 'important.log' even if it's in the root
+    !important.log
+
+    # Ignore any file named 'secret.txt' in any subdirectory
+    **/secret.txt
+    ```
+
+3.  **Cline respects your `.clineignore`:** Once you save the `.clineignore` file, Cline will automatically recognize and apply these rules.
+
+    *   **File Access Control:** Cline will not be able to read the content of ignored files using tools like `read_file`. If you attempt to use a tool on an ignored file, Cline will inform you that access is blocked due to `.clineignore` settings.
+    *   **File Listing:** When you ask Cline to list files in a directory (e.g., using `list_files`), ignored files and directories will still be listed, but they will be marked with a **🔒** symbol next to their name to indicate that they are ignored. This helps you understand which files Cline can and cannot interact with.
+
+4.  **Dynamic Updates:** Cline monitors your `.clineignore` file for changes. If you modify, create, or delete your `.clineignore` file, Cline will automatically update its ignore rules without needing to restart VS Code or the extension.
+
+**In Summary**
+
+The `.clineignore` file provides a powerful and flexible way to control Cline's access to your workspace files, enhancing privacy, performance, and context management. By leveraging familiar `.gitignore` syntax, you can easily tailor Cline's focus to the most relevant parts of your projects.

docs/getting-started-new-coders/installing-dev-essentials.md

@@ -102,4 +102,4 @@ The **Problems** section in VS Code shows any errors or warnings in your code. Y
 
 ## Next Steps
 
-After installing these tools, you'll be ready to start coding! Return to the [Getting Started with Cline for New Coders](getting-started-new-coders.md) guide to continue your journey.
+After installing these tools, you'll be ready to start coding! Return to the [Getting Started with Cline for New Coders](../getting-started-new-coders/README.md) guide to continue your journey.

docs/mcp/mcp-quickstart.md

@@ -38,7 +38,7 @@ STOP! Before proceeding, you MUST verify these requirements:
  <img src="https://github.com/user-attachments/assets/abf908b1-be98-4894-8dc7-ef3d27943a47" alt="MCP Server Panel" width="400" />
 
 1. The MCP settings files should be display in a tab in VS Code.
-1. Replce the file's contents with this code:
+1. Replace the file's contents with this code:
 
 For Windows:
 
@@ -96,7 +96,7 @@ You should witness Cline:
 1. Update the mcp setting json file
 1. Start the server and start the server
 
-The mcp seetings file should now look like this:
+The mcp settings file should now look like this:
 
 _For a Windows machine:_
 

docs/prompting/README.md

@@ -128,6 +128,27 @@ Cline's system prompt, on the other hand, is not user-editable ([here's where yo
 -   Focus on Desired Outcomes: Describe the results you want, not the specific steps.
 -   Test and Iterate: Experiment to find what works best for your workflow.
 
+
+### Support for Loading Files from the `.clinerules/` Directory
+All files under the `.clinerules/` directory are recursively loaded, and their contents are merged into clineRulesFileInstructions.
+
+#### Example 1:
+```
+.clinerules/
+├── .local-clinerules
+└── .project-clinerules
+```
+
+#### Example 2:
+```
+.clinerules/
+├── .clinerules-nextjs
+├── .clinerules-serverside
+└── tests/
+    ├── .pytest-clinerules
+    └── .jest-clinerules
+```
+
 ## Prompting Cline 💬
 
 **Prompting is how you communicate your needs for a given task in the back-and-forth chat with Cline.** Cline understands natural language, so write conversationally.

docs/prompting/custom instructions library/raw-instructions/cline-memory-bank.md

@@ -0,0 +1,153 @@
+# Cline's Memory Bank
+
+I am Cline, an expert software engineer with a unique characteristic: my memory resets completely between sessions. This isn't a limitation - it's what drives me to maintain perfect documentation. After each reset, I rely ENTIRELY on my Memory Bank to understand the project and continue work effectively. I MUST read ALL memory bank files at the start of EVERY task - this is not optional.
+
+## Memory Bank Structure
+
+The Memory Bank consists of required core files and optional context files, all in Markdown format. Files build upon each other in a clear hierarchy:
+
+```mermaid
+flowchart TD
+    PB[projectbrief.md] --> PC[productContext.md]
+    PB --> SP[systemPatterns.md]
+    PB --> TC[techContext.md]
+    
+    PC --> AC[activeContext.md]
+    SP --> AC
+    TC --> AC
+    
+    AC --> P[progress.md]
+```
+
+### Core Files (Required)
+1. `projectbrief.md`
+   - Foundation document that shapes all other files
+   - Created at project start if it doesn't exist
+   - Defines core requirements and goals
+   - Source of truth for project scope
+
+2. `productContext.md`
+   - Why this project exists
+   - Problems it solves
+   - How it should work
+   - User experience goals
+
+3. `activeContext.md`
+   - Current work focus
+   - Recent changes
+   - Next steps
+   - Active decisions and considerations
+
+4. `systemPatterns.md`
+   - System architecture
+   - Key technical decisions
+   - Design patterns in use
+   - Component relationships
+
+5. `techContext.md`
+   - Technologies used
+   - Development setup
+   - Technical constraints
+   - Dependencies
+
+6. `progress.md`
+   - What works
+   - What's left to build
+   - Current status
+   - Known issues
+
+### Additional Context
+Create additional files/folders within memory-bank/ when they help organize:
+- Complex feature documentation
+- Integration specifications
+- API documentation
+- Testing strategies
+- Deployment procedures
+
+## Core Workflows
+
+### Plan Mode
+```mermaid
+flowchart TD
+    Start[Start] --> ReadFiles[Read Memory Bank]
+    ReadFiles --> CheckFiles{Files Complete?}
+    
+    CheckFiles -->|No| Plan[Create Plan]
+    Plan --> Document[Document in Chat]
+    
+    CheckFiles -->|Yes| Verify[Verify Context]
+    Verify --> Strategy[Develop Strategy]
+    Strategy --> Present[Present Approach]
+```
+
+### Act Mode
+```mermaid
+flowchart TD
+    Start[Start] --> Context[Check Memory Bank]
+    Context --> Update[Update Documentation]
+    Update --> Rules[Update .clinerules if needed]
+    Rules --> Execute[Execute Task]
+    Execute --> Document[Document Changes]
+```
+
+## Documentation Updates
+
+Memory Bank updates occur when:
+1. Discovering new project patterns
+2. After implementing significant changes
+3. When user requests with **update memory bank** (MUST review ALL files)
+4. When context needs clarification
+
+```mermaid
+flowchart TD
+    Start[Update Process]
+    
+    subgraph Process
+        P1[Review ALL Files]
+        P2[Document Current State]
+        P3[Clarify Next Steps]
+        P4[Update .clinerules]
+        
+        P1 --> P2 --> P3 --> P4
+    end
+    
+    Start --> Process
+```
+
+Note: When triggered by **update memory bank**, I MUST review every memory bank file, even if some don't require updates. Focus particularly on activeContext.md and progress.md as they track current state.
+
+## Project Intelligence (.clinerules)
+
+The .clinerules file is my learning journal for each project. It captures important patterns, preferences, and project intelligence that help me work more effectively. As I work with you and the project, I'll discover and document key insights that aren't obvious from the code alone.
+
+```mermaid
+flowchart TD
+    Start{Discover New Pattern}
+    
+    subgraph Learn [Learning Process]
+        D1[Identify Pattern]
+        D2[Validate with User]
+        D3[Document in .clinerules]
+    end
+    
+    subgraph Apply [Usage]
+        A1[Read .clinerules]
+        A2[Apply Learned Patterns]
+        A3[Improve Future Work]
+    end
+    
+    Start --> Learn
+    Learn --> Apply
+```
+
+### What to Capture
+- Critical implementation paths
+- User preferences and workflow
+- Project-specific patterns
+- Known challenges
+- Evolution of project decisions
+- Tool usage patterns
+
+The format is flexible - focus on capturing valuable insights that help me work more effectively with you and the project. Think of .clinerules as a living document that grows smarter as we work together.
+
+REMEMBER: After every memory reset, I begin completely fresh. The Memory Bank is my only link to previous work. It must be maintained with precision and clarity, as my effectiveness depends entirely on its accuracy.

esbuild.js

@@ -52,6 +52,7 @@ const copyWasmFiles = {
 				"java",
 				"php",
 				"swift",
+				"kotlin",
 			]
 
 			languages.forEach((lang) => {

locales/ar-sa/CODE_OF_CONDUCT.md

@@ -0,0 +1,47 @@
+# ميثاق المساهمين
+
+## تعهدنا
+
+نحن المساهمون والقائمون على هذا المشروع، نتعهد بتوفير بيئة مفتوحة ومرحبة، ونجعل المشاركة في مشروعنا ومجتمعنا تجربة خالية من التحرش للجميع، بغض النظر عن العمر، أو حجم الجسم، أو الإعاقة، أو العرق، أو الخصائص الجنسية، أو الهوية الجنسية والتعبير عنها، أو مستوى الخبرة، أو التعليم، أو الوضع الاجتماعي والاقتصادي، أو الجنسية، أو المظهر الشخصي، أو الدين، أو الهوية الجنسية والتوجه الجنسي.
+
+## معاييرنا
+
+أمثلة على السلوك الذي يساهم في خلق بيئة إيجابية تشمل:
+
+- استخدام لغة ترحيبية وشاملة
+- احترام وجهات النظر والخبرات المختلفة
+- تقبل النقد البناء برحابة صدر
+- التركيز على ما هو الأفضل للمجتمع
+- إظهار التعاطف تجاه أعضاء المجتمع الآخرين
+
+أمثلة على السلوك غير المقبول من قبل المشاركين تشمل:
+
+- استخدام لغة أو صور جنسية والاهتمام الجنسي غير المرغوب فيه أو التحرش الجنسي
+- التصيد، والتعليقات المهينة/المسيئة، والهجمات الشخصية أو السياسية
+- التحرش العلني أو الخاص
+- نشر معلومات الآخرين الخاصة، مثل العنوان الفعلي أو الإلكتروني، دون إذن صريح
+- أي سلوك آخر يمكن اعتباره غير لائق في بيئة مهنية
+
+## مسؤولياتنا
+
+يتحمل القائمون على المشروع مسؤولية توضيح معايير السلوك المقبول، ومن المتوقع أن يتخذوا إجراءات تصحيحية مناسبة وعادلة استجابة لأي حالات سلوك غير مقبول.
+
+يحق للقائمين على المشروع إزالة أو تعديل أو رفض التعليقات والالتزامات والتعليمات البرمجية وتعديلات wiki والمشكلات والمساهمات الأخرى التي لا تتماشى مع مدونة قواعد السلوك هذه، أو حظر أي مساهم بشكل مؤقت أو دائم بسبب سلوكيات أخرى يعتبرونها غير لائقة أو مهددة أو مسيئة أو ضارة، كما أنهم يتحملون مسؤولية ذلك.
+
+## النطاق
+
+تنطبق مدونة قواعد السلوك هذه داخل مساحات المشروع وفي الأماكن العامة عندما يمثل الفرد المشروع أو مجتمعه. تتضمن أمثلة تمثيل مشروع أو مجتمع استخدام عنوان بريد إلكتروني رسمي للمشروع، أو النشر عبر حساب رسمي على وسائل التواصل الاجتماعي، أو العمل كممثل معين في حدث عبر الإنترنت أو خارجه. يمكن للقائمين على المشروع تحديد وتوضيح تمثيل المشروع بشكل أكبر.
+
+## التنفيذ
+
+يمكن الإبلاغ عن حالات السلوك المسيء أو التحرش أو السلوك غير المقبول عن طريق الاتصال بفريق المشروع على hi@cline.bot. ستتم مراجعة جميع الشكاوى والتحقيق فيها وستؤدي إلى استجابة تعتبر ضرورية ومناسبة للظروف. يلتزم فريق المشروع بالحفاظ على السرية فيما يتعلق بالمبلغ عن الحادث. يمكن نشر مزيد من التفاصيل حول سياسات التنفيذ المحددة بشكل منفصل.
+
+قد يواجه القائمون على المشروع الذين لا يتبعون أو يفرضون مدونة قواعد السلوك بحسن نية تداعيات مؤقتة أو دائمة على النحو الذي يحدده الأعضاء الآخرون في قيادة المشروع.
+
+## الإسناد
+
+تم اقتباس مدونة قواعد السلوك هذه من [تعهد المساهم][homepage]، الإصدار 1.4، متاح على https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
+
+[homepage]: https://www.contributor-covenant.org
+
+للحصول على إجابات للأسئلة الشائعة حول مدونة قواعد السلوك هذه، راجع https://www.contributor-covenant.org/faq

locales/ar-sa/CONTRIBUTING.md

@@ -0,0 +1,93 @@
+# المساهمة في Cline
+
+نحن سعداء لاهتمامك بالمساهمة في Cline. سواء كنت تصلح خطأً أو تضيف ميزة أو تحسن الوثائق لدينا، فإن كل مساهمة تجعل Cline أذكى! للحفاظ على مجتمعنا نابضًا بالحياة وترحيبيًا، يجب على جميع الأعضاء الالتزام بـ [مدونة قواعد السلوك](CODE_OF_CONDUCT.md) لدينا.
+
+## الإبلاغ عن الأخطاء أو المشكلات
+
+تساعد تقارير الأخطاء على جعل Cline أفضل للجميع! قبل إنشاء مشكلة جديدة، يرجى [البحث عن المشكلات الموجودة](https://github.com/cline/cline/issues) لتجنب الازدواجية. عندما تكون جاهزًا للإبلاغ عن خطأ، انتقل إلى [صفحة المشكلات](https://github.com/cline/cline/issues/new/choose) حيث ستجد قالبًا لمساعدتك في ملء المعلومات ذات الصلة.
+
+<blockquote class='warning-note'>
+     🔐 <b>مهم:</b> إذا اكتشفت ثغرة أمنية، فيرجى استخدام <a href="https://github.com/cline/cline/security/advisories/new">أداة الأمان على Github للإبلاغ عنها بشكل خاص</a>.
+</blockquote>
+
+## تحديد ما يجب العمل عليه
+
+تبحث عن مساهمة أولى جيدة؟ تحقق من المشكلات المميزة بـ ["good first issue"](https://github.com/cline/cline/labels/good%20first%20issue) أو ["help wanted"](https://github.com/cline/cline/labels/help%20wanted). تم تحديد هذه المشكلات خصيصًا للمساهمين الجدد والمجالات التي نرحب فيها بالمساعدة!
+
+نرحب أيضًا بالمساهمات في [الوثائق](https://github.com/cline/cline/tree/main/docs) لدينا! سواء كان تصحيح أخطاء إملائية، أو تحسين الأدلة الحالية، أو إنشاء محتوى تعليمي جديد - نود بناء مستودع موارد مدفوع من المجتمع يساعد الجميع على الاستفادة القصوى من Cline. يمكنك البدء بالغوص في `/docs` والبحث عن مجالات تحتاج إلى تحسين.
+
+إذا كنت تخطط للعمل على ميزة أكبر، فيرجى إنشاء [طلب ميزة](https://github.com/cline/cline/discussions/categories/feature-requests?discussions_q=is%3Aopen+category%3A%22Feature+Requests%22+sort%3Atop) أولاً حتى نتمكن من مناقشة ما إذا كان ذلك يتماشى مع رؤية Cline.
+
+## إعداد التطوير
+
+1. **إضافات VS Code**
+
+    - عند فتح المشروع، سيطالبك VS Code بتثبيت الإضافات الموصى بها
+    - هذه الإضافات مطلوبة للتطوير - يرجى قبول جميع مطالبات التثبيت
+    - إذا تجاهلت المطالبات، يمكنك تثبيتها يدويًا من لوحة الإضافات
+
+2. **التطوير المحلي**
+    - قم بتشغيل `npm run install:all` لتثبيت التبعيات
+    - قم بتشغيل `npm run test` لتشغيل الاختبارات محليًا
+    - قبل تقديم طلب السحب، قم بتشغيل `npm run format:fix` لتنسيق التعليمات البرمجية الخاصة بك
+
+## كتابة وتقديم التعليمات البرمجية
+
+يمكن لأي شخص المساهمة بالتعليمات البرمجية في Cline، لكننا نطلب منك اتباع هذه الإرشادات لضمان دمج مساهماتك بسلاسة:
+
+1. **احتفظ بطلبات السحب مركزة**
+
+    - قيد طلبات السحب بميزة واحدة أو إصلاح خطأ
+    - قسم التغييرات الأكبر إلى طلبات سحب أصغر ومتصلة
+    - قسم التغييرات إلى التزامات منطقية يمكن مراجعتها بشكل مستقل
+
+2. **جودة التعليمات البرمجية**
+
+    - قم بتشغيل `npm run lint` للتحقق من نمط التعليمات البرمجية
+    - قم بتشغيل `npm run format` لتنسيق التعليمات البرمجية تلقائيًا
+    - يجب أن تجتاز جميع طلبات السحب عمليات التحقق المستمر التي تشمل كلاً من التنضيد والتنسيق
+    - تعامل مع أي تحذيرات أو أخطاء ESLint قبل التقديم
+    - اتبع أفضل ممارسات TypeScript والحفاظ على سلامة النوع
+
+3. **الاختبار**
+
+    - أضف اختبارات للميزات الجديدة
+    - قم بتشغيل `npm test` للتأكد من اجتياز جميع الاختبارات
+    - قم بتحديث الاختبارات الحالية إذا كانت تغييراتك تؤثر عليها
+    - تضمين كل من اختبارات الوحدة واختبارات التكامل حيثما كان ذلك مناسبًا
+
+4. **إدارة الإصدار مع Changesets**
+
+    - أنشئ changeset لأي تغييرات واجهة المستخدم باستخدام `npm run changeset`
+    - اختر زيادة الإصدار المناسبة:
+        - `major` للتغييرات الكبيرة (1.0.0 → 2.0.0)
+        - `minor` للميزات الجديدة (1.0.0 → 1.1.0)
+        - `patch` لإصلاحات الأخطاء (1.0.0 → 1.0.1)
+    - اكتب رسائل changeset واضحة ووصفية تشرح التأثير
+    - لا تتطلب التغييرات في الوثائق فقط changesets
+
+5. **إرشادات الالتزام (Commit Guidelines)**
+
+   - اكتب رسائل التزام واضحة وواصفة  
+   - استخدم تنسيق الالتزام التقليدي (مثل: "feat:", "fix:", "docs:")  
+   - أشر إلى القضايا ذات الصلة في الالتزامات باستخدام #رقم-القضية  
+
+6. **قبل الإرسال**
+
+   - قم بإعادة دمج فرعك مع أحدث إصدار من الفرع الرئيسي  
+   - تأكد من أن الفرع الخاص بك يُبنى بنجاح  
+   - تحقق من اجتياز جميع الاختبارات  
+   - راجع التغييرات الخاصة بك للتأكد من عدم وجود تعليمات تصحيح الأخطاء أو سجلات وحدة التحكم  
+
+7. **وصف طلب السحب (Pull Request Description)**
+
+   - صف بوضوح ما تقوم به التغييرات  
+   - قم بتضمين خطوات لاختبار التغييرات  
+   - أدرج أي تغييرات غير متوافقة  
+   - أضف لقطات شاشة للتغييرات في واجهة المستخدم  
+
+## اتفاقية المساهمة  
+
+من خلال إرسال طلب سحب، فإنك توافق على أن مساهماتك سيتم ترخيصها بنفس ترخيص المشروع ([Apache 2.0](LICENSE)).  
+
+تذكر: المساهمة في Cline لا تقتصر فقط على كتابة الكود - إنها تتعلق بأن تكون جزءًا من مجتمع يُشكل مستقبل التطوير بمساعدة الذكاء الاصطناعي. لنبنِ شيئًا رائعًا معًا! 🚀

locales/ar-sa/README.md

@@ -0,0 +1,189 @@
+<div align="center"><sub>
+العربية | <a href="https://github.com/cline/cline/blob/main/locales/es/README.md" target="_blank">الإسبانية</a> | <a href="https://github.com/cline/cline/blob/main/locales/de/README.md" target="_blank">الألمانية</a> | <a href="https://github.com/cline/cline/blob/main/locales/ja/README.md" target="_blank">اليابانية</a> | <a href="https://github.com/cline/cline/blob/main/locales/zh-cn/README.md" target="_blank">الصينية المبسطة</a> | <a href="https://github.com/cline/cline/blob/main/locales/zh-tw/README.md" target="_blank">الصينية التقليدية</a> | <a href="https://github.com/cline/cline/blob/main/locales/pt-BR/README.md" target="_blank">البرتغالية</a>
+</sub></div>
+
+# Cline – \#1 على OpenRouter
+
+<p align="center">
+  <img src="https://media.githubusercontent.com/media/cline/cline/main/assets/docs/demo.gif" width="100%" />
+</p>
+
+<div align="center">
+<table>
+<tbody>
+<td align="center">
+<a href="https://marketplace.visualstudio.com/items?itemName=saoudrizwan.claude-dev" target="_blank"><strong>تنزيل من متجر VS</strong></a>
+</td>
+<td align="center">
+<a href="https://discord.gg/cline" target="_blank"><strong>Discord</strong></a>
+</td>
+<td align="center">
+<a href="https://www.reddit.com/r/cline/" target="_blank"><strong>r/cline</strong></a>
+</td>
+<td align="center">
+<a href="https://github.com/cline/cline/discussions/categories/feature-requests?discussions_q=is%3Aopen+category%3A%22Feature+Requests%22+sort%3Atop" target="_blank"><strong>طلبات الميزات</strong></a>
+</td>
+<td align="center">
+<a href="https://docs.cline.bot/getting-started/getting-started-new-coders" target="_blank"><strong>البدء</strong></a>
+</td>
+</tbody>
+</table>
+</div>
+
+التقى Cline، مساعد الذكاء الاصطناعي الذي يمكنه استخدام **سطر الأوامر** و **محرر النصوص** الخاص بك.
+
+بفضل [قدرات Claude 3.7 Sonnet على التعليمات البرمجية الوكيلة](https://www.anthropic.com/claude/sonnet)، يمكن لـ Cline التعامل مع مهام تطوير البرامج المعقدة خطوة بخطوة. مع الأدوات التي تسمح له بإنشاء وتعديل الملفات، واستكشاف المشاريع الكبيرة، واستخدام المتصفح، وتنفيذ أوامر الطرفية (بعد منحك الإذن)، يمكنه مساعدتك بطرق تتجاوز إكمال الكود أو الدعم الفني. يمكن لـ Cline أيضًا استخدام بروتوكول سياق النموذج (MCP) لإنشاء أدوات جديدة وتوسيع قدراته الخاصة. في حين تعمل النصوص البرمجية الآلية المستقلة تقليديًا في بيئات محاصرة، توفر هذه الإضافة واجهة رسومية لموافقة المستخدم على كل تغيير في الملف وأمر طرفية، مما يوفر طريقة آمنة وسهلة الاستخدام لاستكشاف إمكانات الذكاء الاصطناعي الوكيل.
+
+1. أدخل مهمتك وأضف الصور لتحويل المحاكاة إلى تطبيقات وظيفية أو إصلاح الأخطاء مع لقطات الشاشة.
+2. يبدأ Cline بتحليل هيكل الملفات الخاصة بك وشجرة التعريف المصدرية، وإجراء عمليات بحث regex، وقراءة الملفات ذات الصلة للاطلاع على المشاريع الحالية. من خلال إدارة المعلومات التي يتم إضافتها إلى السياق بعناية، يمكن لـ Cline تقديم مساعدة قيمة حتى للمشاريع الكبيرة والمعقدة دون إرهاق نافذة السياق.
+3. بمجرد حصول Cline على المعلومات التي يحتاجها، يمكنه:
+    - إنشاء وتعديل الملفات + مراقبة أخطاء Linter/Compiler أثناء السير، مما يسمح له بإصلاح المشكلات مثل الواردات المفقودة وأخطاء البناء النحوي بمفرده.
+    - تنفيذ الأوامر مباشرة في الطرفية الخاصة بك ومراقبة إخراجها أثناء العمل، مما يسمح له على سبيل المثال بالاستجابة لمشكلات خادم التطوير بعد تعديل ملف.
+    - بالنسبة لمهام تطوير الويب، يمكن لـ Cline إطلاق الموقع في متصفح بلا رأس، والنقر، وكتابة النص، والتمرير، والتقاط لقطات الشاشة + سجلات وحدة التحكم، مما يسمح له بإصلاح أخطاء وقت التشغيل والأخطاء البصرية.
+4. عند اكتمال المهمة، سيقدم Cline النتيجة لك مع أمر طرفية مثل `open -a "Google Chrome" index.html`، والذي تقوم بتشغيله بنقرة زر.
+
+> [!TIP]
+> استخدم اختصار `CMD/CTRL + Shift + P` لفتح لوحة الأوامر واكتب "Cline: Open In New Tab" لفتح الإضافة كعلامة تبويب في محرر النصوص الخاص بك. يتيح لك هذا استخدام Cline جنبًا إلى جنب مع مستكشف الملفات الخاص بك، ورؤية كيف يغير مساحة العمل الخاصة بك بوضوح أكبر.
+
+---
+
+<img align="right" width="340" src="https://github.com/user-attachments/assets/3cf21e04-7ce9-4d22-a7b9-ba2c595e88a4">
+
+### استخدم أي واجهة برمجة تطبيقات ونموذج
+
+يدعم Cline مقدمي واجهات برمجة التطبيقات مثل OpenRouter و Anthropic و OpenAI و Google Gemini و AWS Bedrock و Azure و GCP Vertex. يمكنك أيضًا تكوين أي واجهة برمجة تطبيقات متوافقة مع OpenAI، أو استخدام نموذج محلي من خلال LM Studio/Ollama. إذا كنت تستخدم OpenRouter، فستقوم الإضافة بجلب قائمة النماذج الأحدث الخاصة بهم، مما يسمح لك باستخدام أحدث النماذج بمجرد توفرها.
+
+تتتبع الإضافة أيضًا إجمالي الرموز والاستخدام الخاص بواجهة برمجة التطبيقات لدورة المهمة بأكملها وطلبات فردية، مما يبقيك على اطلاع بالإنفاق في كل خطوة.
+
+<!-- Transparent pixel to create line break after floating image -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="left" width="370" src="https://github.com/user-attachments/assets/81be79a8-1fdb-4028-9129-5fe055e01e76">
+
+### تشغيل الأوامر في الطرفية
+
+بفضل [تحديثات تكامل الشل الجديدة في VSCode v1.93](https://code.visualstudio.com/updates/v1_93#_terminal-shell-integration-api)، يمكن لـ Cline تنفيذ الأوامر مباشرة في الطرفية الخاصة بك وتلقي الإخراج. يسمح له هذا بأداء مجموعة واسعة من المهام، من تثبيت الحزم وتشغيل سكربتات البناء إلى نشر التطبيقات، وإدارة قواعد البيانات، وتنفيذ الاختبارات، وذلك بالتكيف مع بيئة التطوير الخاصة بك وسلسلة الأدوات للقيام بالعمل على النحو الصحيح.
+
+بالنسبة للعمليات الطويلة المدى مثل خوادم التطوير، استخدم زر "المتابعة أثناء التشغيل" للسماح لـ Cline بالاستمرار في المهمة بينما يعمل الأمر في الخلفية. أثناء عمل Cline، سيتم إخباره بأي إخراج طرفية جديد على الطريق، مما يسمح له بالاستجابة للمشكلات التي قد تنشأ، مثل أخطاء وقت الإنشاء عند تعديل الملفات.
+
+<!-- Transparent pixel to create line break after floating image -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="right" width="400" src="https://github.com/user-attachments/assets/c5977833-d9b8-491e-90f9-05f9cd38c588">
+
+### إنشاء وتعديل الملفات
+
+يمكن لـ Cline إنشاء وتعديل الملفات مباشرة في محرر النصوص الخاص بك، وعرض الاختلافات. يمكنك تعديل أو إلغاء تغييرات Cline مباشرة في محرر الاختلافات، أو تقديم ملاحظات في الدردشة حتى تكون راضيًا عن النتيجة. يراقب Cline أيضًا أخطاء Linter/Compiler (الواردات المفقودة، أخطاء البناء النحوي، إلخ) حتى يتمكن من إصلاح المشكلات التي تنشأ أثناء السير بمفرده.
+
+يتم تسجيل جميع التغييرات التي أجراها Cline في جدول زمني للملف، مما يوفر طريقة سهلة لتتبع وإلغاء التعديلات إذا لزم الأمر.
+
+<!-- Transparent pixel to create line break after floating image -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="left" width="370" src="https://github.com/user-attachments/assets/bc2e85ba-dfeb-4fe6-9942-7cfc4703cbe5">
+
+### استخدم المتصفح
+
+مع قدرة [استخدام الكمبيوتر](https://www.anthropic.com/news/3-5-models-and-computer-use) الجديدة لـ Claude 3.5 Sonnet، يمكن لـ Cline إطلاق متصفح، والنقر على العناصر، وكتابة النص، والتمرير، والتقاط لقطات الشاشة وسجلات وحدة التحكم في كل خطوة. يسمح له هذا بالتصحيح التفاعلي، واختبار نهاية إلى نهاية، وحتى الاستخدام العام للويب! يمنحه هذا الاستقلالية لإصلاح الأخطاء البصرية وأخطاء وقت التشغيل دون الحاجة إلى نسخ ولصق سجلات الأخطاء بنفسك.
+
+حاول طلب من Cline "اختبار التطبيق"، وشاهده يشغل أمرًا مثل `npm run dev`، ويطلق خادم التطوير المحلي في متصفح، ويجري سلسلة من الاختبارات للتأكد من أن كل شيء يعمل. [شاهد عرضًا توضيحيًا هنا.](https://x.com/sdrzn/status/1850880547825823989)
+
+<!-- Transparent pixel to create line break after floating image -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="right" width="350" src="https://github.com/user-attachments/assets/ac0efa14-5c1f-4c26-a42d-9d7c56f5fadd">
+
+### "إضافة أداة التي..."
+
+شكراً لـ [بروتوكول سياق النموذج](https://github.com/modelcontextprotocol)، يمكن لـ Cline توسيع قدراته من خلال الأدوات المخصصة. بينما يمكنك استخدام [الخوادم التي أنشأها المجتمع](https://github.com/modelcontextprotocol/servers)، يمكن لـ Cline بدلاً من ذلك إنشاء أدوات وتثبيتها مصممة خصيصًا لتناسب سير عملك. ما عليك سوى أن تطلب من Cline "إضافة أداة"، وسيتولى كل شيء، من إنشاء خادم MCP جديد إلى تثبيته في الامتداد. تصبح هذه الأدوات المخصصة بعد ذلك جزءًا من مجموعة أدوات Cline، جاهزة للاستخدام في المهام المستقبلية.
+
+- **"أضف أداة تجلب تذاكر Jira"**: استرجع تذاكر AC وقم بتشغيل Cline  
+- **"أضف أداة تدير AWS EC2s"**: تحقق من مقاييس الخادم وقم بتوسيع أو تقليص عدد الحالات  
+- **"أضف أداة تجلب أحدث حوادث PagerDuty"**: استرجع التفاصيل واطلب من Cline إصلاح الأخطاء  
+
+<!-- بكسل شفاف لإنشاء فاصل سطر بعد الصورة العائمة -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="left" width="360" src="https://github.com/user-attachments/assets/7fdf41e6-281a-4b4b-ac19-020b838b6970">
+
+### إضافة السياق
+
+**`@url`**: الصق رابط URL ليقوم الامتداد بجلبه وتحويله إلى Markdown، مفيد عندما تريد تزويد Cline بأحدث الوثائق  
+
+**`@problems`**: أضف أخطاء وتحذيرات بيئة العمل ('لوحة المشكلات') ليتمكن Cline من إصلاحها  
+
+**`@file`**: يضيف محتويات ملف حتى لا تضطر إلى إهدار طلبات API بالموافقة على قراءة الملف (+ البحث في الملفات)  
+
+**`@folder`**: يضيف جميع ملفات المجلد دفعة واحدة لتسريع سير العمل بشكل أكبر  
+
+<!-- بكسل شفاف لإنشاء فاصل سطر بعد الصورة العائمة -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="right" width="350" src="https://github.com/user-attachments/assets/140c8606-d3bf-41b9-9a1f-4dbf0d4c90cb">
+
+### نقاط التحقق: المقارنة والاستعادة
+
+أثناء عمل Cline على مهمة، يأخذ الامتداد لقطة من بيئة العمل في كل خطوة. يمكنك استخدام زر "Compare" لرؤية الفرق بين اللقطة وبيئة العمل الحالية، وزر "Restore" للعودة إلى تلك النقطة.
+
+على سبيل المثال، عند العمل مع خادم ويب محلي، يمكنك استخدام "استعادة بيئة العمل فقط" لاختبار إصدارات مختلفة من تطبيقك بسرعة، ثم استخدام "استعادة المهمة وبيئة العمل" عندما تجد الإصدار الذي تريد المتابعة منه. يتيح لك ذلك استكشاف أساليب مختلفة بأمان دون فقدان التقدم.
+
+<!-- بكسل شفاف لإنشاء فاصل سطر بعد الصورة العائمة -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+## المساهمة
+
+للمساهمة في المشروع، ابدأ بـ [دليل المساهمة](CONTRIBUTING.md) لتعلم الأساسيات. يمكنك أيضًا الانضمام إلى [خادم Discord](https://discord.gg/cline) للدردشة مع المساهمين الآخرين في قناة `#contributors`. إذا كنت تبحث عن عمل بدوام كامل، تحقق من الوظائف المتاحة على [صفحة التوظيف](https://cline.bot/join-us)!  
+
+<details>
+<summary>تعليمات التطوير المحلي</summary>
+
+1. استنساخ المستودع _(يتطلب [git-lfs](https://git-lfs.com/))_:
+    ```bash
+    git clone https://github.com/cline/cline.git
+    ```
+2. افتح المشروع في VSCode:
+    ```bash
+    code cline
+    ```
+3. قم بتثبيت التبعيات اللازمة للامتداد وواجهة الويب:
+    ```bash
+    npm run install:all
+    ```
+4. قم بالتشغيل بالضغط على `F5` (أو من `Run` -> `Start Debugging`) لفتح نافذة VSCode جديدة مع تحميل الامتداد. (قد تحتاج إلى تثبيت [إضافة esbuild problem matchers](https://marketplace.visualstudio.com/items?itemName=connor4312.esbuild-problem-matchers) إذا واجهت مشكلات في بناء المشروع.)
+
+</details>
+
+<details>
+<summary>إنشاء طلب سحب (Pull Request)</summary>
+
+1. قبل إنشاء PR، قم بإنشاء إدخال للتغييرات:
+    ```bash
+    npm run changeset
+    ```
+   سيطلب منك تحديد:
+   - نوع التغيير (رئيسي، ثانوي، إصلاح)
+     - `رئيسي` → تغييرات غير متوافقة (1.0.0 → 2.0.0)
+     - `ثانوي` → ميزات جديدة (1.0.0 → 1.1.0)
+     - `إصلاح` → إصلاحات للأخطاء (1.0.0 → 1.0.1)
+   - وصف التغييرات التي قمت بها  
+
+2. قم بحفظ التغييرات وملف `.changeset` الذي تم إنشاؤه  
+
+3. ادفع فرعك وأنشئ PR على GitHub. سيقوم CI بـ:
+   - تشغيل الاختبارات والفحوصات  
+   - سيقوم Changesetbot بإنشاء تعليق يوضح تأثير الإصدار  
+   - عند الدمج مع الفرع الرئيسي، سيقوم Changesetbot بإنشاء PR لحزم الإصدار  
+   - عند دمج PR لحزم الإصدار، سيتم نشر إصدار جديد  
+
+</details>
+
+## الرخصة
+
+[Apache 2.0 © 2025 Cline Bot Inc.](./LICENSE)

locales/de/README.md

@@ -28,7 +28,7 @@
 
 Lernen Sie Cline kennen, einen KI-Assistenten, der Ihre **CLI** u**N**d **E**ditor nutzen kann.
 
-Dank der [agentischen Codierungsfähigkeiten von Claude 3.5 Sonnet](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf) kann Cline komplexe Softwareentwicklungsaufgaben Schritt für Schritt bewältigen. Mit Werkzeugen, die ihm das Erstellen und Bearbeiten von Dateien, das Erkunden großer Projekte, die Nutzung des Browsers und das Ausführen von Terminalbefehlen (nach Ihrer Genehmigung) ermöglichen, kann er Ihnen auf eine Weise helfen, die über die Codevervollständigung oder technischen Support hinausgeht. Cline kann sogar das Model Context Protocol (MCP) verwenden, um neue Werkzeuge zu erstellen und seine eigenen Fähigkeiten zu erweitern. Während autonome KI-Skripte traditionell in sandboxed Umgebungen laufen, bietet diese Erweiterung eine Mensch-in-der-Schleife-GUI, um jede Dateiänderung und jeden Terminalbefehl zu genehmigen, was eine sichere und zugängliche Möglichkeit bietet, das Potenzial agentischer KI zu erkunden.
+Dank der [agentischen Codierungsfähigkeiten von Claude 3.7 Sonnet](https://www.anthropic.com/claude/sonnet) kann Cline komplexe Softwareentwicklungsaufgaben Schritt für Schritt bewältigen. Mit Werkzeugen, die ihm das Erstellen und Bearbeiten von Dateien, das Erkunden großer Projekte, die Nutzung des Browsers und das Ausführen von Terminalbefehlen (nach Ihrer Genehmigung) ermöglichen, kann er Ihnen auf eine Weise helfen, die über die Codevervollständigung oder technischen Support hinausgeht. Cline kann sogar das Model Context Protocol (MCP) verwenden, um neue Werkzeuge zu erstellen und seine eigenen Fähigkeiten zu erweitern. Während autonome KI-Skripte traditionell in sandboxed Umgebungen laufen, bietet diese Erweiterung eine Mensch-in-der-Schleife-GUI, um jede Dateiänderung und jeden Terminalbefehl zu genehmigen, was eine sichere und zugängliche Möglichkeit bietet, das Potenzial agentischer KI zu erkunden.
 
 1. Geben Sie Ihre Aufgabe ein und fügen Sie Bilder hinzu, um Mockups in funktionale Apps zu konvertieren oder Fehler mit Screenshots zu beheben.
 2. Cline beginnt mit der Analyse Ihrer Dateistruktur und Quellcode-ASTs, führt Regex-Suchen durch und liest relevante Dateien, um sich in bestehenden Projekten zurechtzufinden. Durch sorgfältiges Management der hinzugefügten Informationen kann Cline wertvolle Unterstützung auch bei großen, komplexen Projekten bieten, ohne das Kontextfenster zu überladen.
@@ -158,5 +158,5 @@ Um zum Projekt beizutragen, beginnen Sie mit unserem [Beitragsleitfaden](CONTRIB
 
 ## Lizenz
 
-[Apache 2.0 © 2024 Cline Bot Inc.](./LICENSE)
+[Apache 2.0 © 2025 Cline Bot Inc.](./LICENSE)
 

locales/es/README.md

@@ -28,7 +28,7 @@
 
 Conozca a Cline, un asistente de IA que puede usar su **CLI** y **E**ditor.
 
-Gracias a las [habilidades de codificación agencial de Claude 3.5 Sonnet](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf), Cline puede abordar tareas complejas de desarrollo de software paso a paso. Con herramientas que le permiten crear y editar archivos, explorar grandes proyectos, usar el navegador y ejecutar comandos de terminal (con su aprobación), puede ayudarle de una manera que va más allá de la autocompletación de código o el soporte técnico. Cline incluso puede usar el Model Context Protocol (MCP) para crear nuevas herramientas y expandir sus propias capacidades. Mientras que los scripts de IA autónomos tradicionalmente se ejecutan en entornos aislados, esta extensión ofrece una GUI con un humano en el bucle para aprobar cada cambio de archivo y comando de terminal, proporcionando una forma segura y accesible de explorar el potencial de la IA agencial.
+Gracias a las [habilidades de codificación agencial de Claude 3.7 Sonnet](https://www.anthropic.com/claude/sonnet), Cline puede abordar tareas complejas de desarrollo de software paso a paso. Con herramientas que le permiten crear y editar archivos, explorar grandes proyectos, usar el navegador y ejecutar comandos de terminal (con su aprobación), puede ayudarle de una manera que va más allá de la autocompletación de código o el soporte técnico. Cline incluso puede usar el Model Context Protocol (MCP) para crear nuevas herramientas y expandir sus propias capacidades. Mientras que los scripts de IA autónomos tradicionalmente se ejecutan en entornos aislados, esta extensión ofrece una GUI con un humano en el bucle para aprobar cada cambio de archivo y comando de terminal, proporcionando una forma segura y accesible de explorar el potencial de la IA agencial.
 
 1. Ingrese su tarea y agregue imágenes para convertir maquetas en aplicaciones funcionales o solucionar errores con capturas de pantalla.
 2. Cline comenzará analizando su estructura de archivos y ASTs de código fuente, realizando búsquedas Regex y leyendo archivos relevantes para orientarse en proyectos existentes. Al gestionar cuidadosamente la información agregada, Cline puede proporcionar asistencia valiosa incluso en proyectos grandes y complejos sin sobrecargar la ventana de contexto.
@@ -158,4 +158,4 @@ Para contribuir al proyecto, comience con nuestra [guía de contribución](CONTR
 
 ## Licencia
 
-[Apache 2.0 © 2024 Cline Bot Inc.](./LICENSE)
+[Apache 2.0 © 2025 Cline Bot Inc.](./LICENSE)

locales/ja/README.md

@@ -28,7 +28,7 @@
 
 Clineは、**CLI**と**エディター**を使用できるAIアシスタントです。
 
-[Claude 3.5 Sonnetのエージェント的コーディング機能](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf)のおかげで、Clineは複雑なソフトウェア開発タスクをステップバイステップで処理できます。ファイルの作成と編集、大規模プロジェクトの探索、ブラウザの使用、ターミナルコマンドの実行（許可後）などのツールを使用して、コード補完や技術サポートを超えた支援を提供します。Clineは、Model Context Protocol (MCP)を使用して新しいツールを作成し、自身の機能を拡張することもできます。自律的なAIスクリプトは通常サンドボックス環境で実行されますが、この拡張機能はファイル変更やターミナルコマンドを承認するための人間インターフェースを提供し、エージェント的AIの可能性を安全かつアクセスしやすい方法で探求できます。
+[Claude 3.7 Sonnetのエージェント的コーディング機能](https://www.anthropic.com/claude/sonnet)のおかげで、Clineは複雑なソフトウェア開発タスクをステップバイステップで処理できます。ファイルの作成と編集、大規模プロジェクトの探索、ブラウザの使用、ターミナルコマンドの実行（許可後）などのツールを使用して、コード補完や技術サポートを超えた支援を提供します。Clineは、Model Context Protocol (MCP)を使用して新しいツールを作成し、自身の機能を拡張することもできます。自律的なAIスクリプトは通常サンドボックス環境で実行されますが、この拡張機能はファイル変更やターミナルコマンドを承認するための人間インターフェースを提供し、エージェント的AIの可能性を安全かつアクセスしやすい方法で探求できます。
 
 1. タスクを入力し、モックアップを機能するアプリに変換したり、スクリーンショットでバグを修正したりします。
 2. Clineは、ファイル構造とソースコードASTの分析、正規表現検索の実行、関連ファイルの読み取りから始め、既存プロジェクトに精通します。コンテキストに追加される情報を慎重に管理することで、大規模で複雑なプロジェクトでもコンテキストウィンドウを圧倒することなく貴重な支援を提供できます。
@@ -158,4 +158,4 @@ Clineがタスクを進める中で、拡張機能は各ステップでワーク
 
 ## ライセンス
 
-[Apache 2.0 © 2024 Cline Bot Inc.](./LICENSE)
+[Apache 2.0 © 2025 Cline Bot Inc.](./LICENSE)

locales/ko/CODE_OF_CONDUCT.md

@@ -0,0 +1,47 @@
+# 기여자 행동 강령
+
+## 서약
+
+우리는 개방적이고 환영하는 환경을 조성하기 위해 노력하며, 기여자 및 유지 관리자로서 모든 사람이 차별과 괴롭힘 없이 프로젝트와 커뮤니티에 참여할 수 있도록 최선을 다할 것을 서약합니다. 이는 연령, 체형, 장애, 민족성, 성적 특성, 성 정체성 및 표현, 경험 수준, 교육 수준, 사회·경제적 지위, 국적, 외모, 인종, 종교, 성 정체성과 성적 지향에 관계없이 모든 사람에게 적용됩니다.
+
+## 행동 기준
+
+긍정적인 환경을 조성하기 위한 바람직한 행동의 예시:
+
+- 환영하고 포용적인 언어 사용하기
+- 서로 다른 관점과 경험을 존중하기
+- 건설적인 비판을 우아하게 수용하기
+- 커뮤니티에 최선이 되는 것에 집중하기
+- 다른 커뮤니티 구성원들에 대한 공감 보여주기
+
+참여자가 해서는 안 되는 행동의 예시:
+
+- 성적인 언어와 이미지 사용, 원치 않는 성적 관심이나 접근
+- 트롤링, 모욕적/경멸적인 댓글, 개인적 또는 정치적 공격
+- 공개적 또는 사적인 괴롭힘
+- 상대방의 동의 없이 개인정보(실제 주소나 전자 주소 등) 공개하기
+- 전문적 환경에서 부적절하다고 여겨질 수 있는 기타 행위
+
+## 책임
+
+프로젝트 유지 관리자는 허용 가능한 행동 기준을 명확히 설명할 책임이 있으며, 부적절한 행동이 발생할 경우 적절하고 공정한 시정 조치를 취해야 합니다.
+
+프로젝트 유지 관리자는 본 행동 강령에 부합하지 않는 댓글, 커밋, 코드, 위키 수정, 이슈 및 기타 기여를 삭제, 수정 또는 거부할 권리와 책임이 있으며, 부적절하다고 판단되는 행동(위협적이거나, 공격적이거나, 해로운 행위 등)을 한 기여자를 일시적 또는 영구적으로 차단할 권리를 가집니다.
+
+## 범위
+
+이 행동 강령은 프로젝트 공간과 개인이 프로젝트나 커뮤니티를 대표하는 공개 공간에서 모두 적용됩니다. 프로젝트 또는 커뮤니티를 대표하는 예로는 공식 프로젝트 이메일 주소 사용, 공식 소셜 미디어 계정을 통한 게시, 온라인 또는 오프라인 행사에서 지정된 대표자로 활동하는 경우 등이 포함됩니다. 프로젝트의 대표성은 프로젝트 유지 관리자가 추가로 정의하고 명확히 할 수 있습니다.
+
+## 집행
+
+학대, 괴롭힘 또는 기타 용납할 수 없는 행동은 프로젝트 팀에 hi@cline.bot을 통해 신고 할 수 있습니다. 모든 신고는 검토 및 조사되며, 상황에 따라 필요하고 적절한 조치가 취해질 것입니다. 프로젝트 팀은 사건 신고자의 신원을 보호할 의무가 있습니다. 특정 시행 정책에 대한 추가 세부 사항은 별도로 게시될 수 있습니다.
+
+행동 강령을 성실히 준수하거나 집행하지 않는 프로젝트 유지관리자는 프로젝트 리더십의 구성원에 의해 일시적 또는 영구적인 제재를 받을 수 있습니다.
+
+## 출처
+
+이 행동 강령은 [Contributor Covenant][homepage] 버전 1.4에서 수정되었으며, https://www.contributor-covenant.org/version/1/4/code-of-conduct.html 에서 확인할 수 있습니다.
+
+[homepage]: https://www.contributor-covenant.org
+
+이 행동 강령에 대한 일반적인 질문에 대한 답변은 https://www.contributor-covenant.org/faq 를 참조하시기 바랍니다.

locales/ko/CONTRIBUTING.md

@@ -0,0 +1,92 @@
+# Cline에 기여하기
+
+Cline에 기여하는 것에 관심을 가져주셔서 감사합니다! 버그 수정, 기능 추가, 문서 개선 등 모든 기여는 Cline을 더욱 스마트하게 만드는 데 기여합니다. 활기차고 환영하는 커뮤니티를 유지하기 위해 모든 구성원은 [행동 강령](CODE_OF_CONDUCT.md)을 준수해야 합니다.
+
+## 버그와 문제 보고
+
+버그 보고는 Cline을 모두에게 더 나은 것으로 만드는 데 도움이 됩니다! 새로운 이슈를 생성하기 전에, 중복을 피하기 위해 [기존 이슈를 검색](https://github.com/cline/cline/issues)해 주세요. 버그를 보고할 준비가 되었다면, [이슈 페이지](https://github.com/cline/cline/issues/new/choose)로 이동하여 관련 정보를 작성하기 위한 템플릿을 사용해 주세요.
+
+<blockquote class='warning-note'>
+    🔐 <b>중요:</b> 보안 취약점을 발견한 경우, <a href="https://github.com/cline/cline/security/advisories/new">GitHub 보안 도구를 사용하여 비공개로 보고</a>해 주세요.
+</blockquote>
+
+## 작업 내용 결정하기
+
+첫 기여를 찾고 계신가요? ["good first issue"](https://github.com/cline/cline/labels/good%20first%20issue)나 ["help wanted"](https://github.com/cline/cline/labels/help%20wanted) 라벨이 붙은 이슈를 확인해 보세요. 이러한 이슈들은 새로운 기여자를 위해 특별히 선정된 작업으로, 도움이 필요한 영역이 표시되어 있습니다!
+
+또한, [문서](https://github.com/cline/cline/tree/main/docs)에 대한 기여도 환영합니다! 오타 수정, 기존 가이드 개선, 새로운 교육 콘텐츠 작성 등, 커뮤니티 주도의 리소스 저장소를 구축하는 데 여러분의 도움이 필요합니다. `/docs`를 살펴보고 개선이 필요한 부분을 찾아보세요.
+
+큰 기능에 대해 작업할 계획이 있다면, 먼저 [기능 요청](https://github.com/cline/cline/discussions/categories/feature-requests?discussions_q=is%3Aopen+category%3A%22Feature+Requests%22+sort%3Atop)을 생성하여 이것이 Cline의 비전과 부합하는지 논의하는 것이 좋습니다.
+
+## 개발 환경 설정
+
+1. **VS Code 확장 프로그램**
+
+    - 프로젝트를 열면 VS Code가 권장 확장 프로그램 설치를 안내합니다
+    - 개발을 위해 이 확장 프로그램들이 필요하므로, 설치 안내를 수락해 주세요.
+    - 프롬프트를 닫은 경우 확장 프로그램 패널에서 수동으로 설치할 수 있습니다
+
+2. **로컬 개발**
+    - `npm run install:all`을 실행하여 의존성을 설치합니다
+    - `npm run test`를 실행하여 로컬에서 테스트를 실행합니다
+    - PR을 제출하기 전에 `npm run format:fix`를 실행하여 코드를 포맷팅합니다
+
+## 코드 작성과 제출
+
+누구나 Cline에 코드를 기여할 수 있지만, 기여가 원활하게 통합되도록 다음 가이드라인을 따라주세요:
+
+1. **Pull Request 집중하기**
+
+    - PR은 단일 기능 또는 버그 수정으로 제한해 주세요
+    - 큰 변경사항은 작은 관련 PR로 분할해 주세요
+    - 논리적으로 독립적인 커밋 단위로 나누어 리뷰가 용이하도록 구성하세요.
+
+2. **코드 품질**
+
+    - `npm run lint`를 실행하여 코드 스타일을 체크합니다
+    - `npm run format`을 실행하여 코드를 자동으로 포맷팅합니다
+    - 모든 PR은 린팅과 포맷팅을 포함한 CI 체크를 통과해야 합니다
+    - 제출 전에 ESLint 경고나 에러를 모두 해결해 주세요
+    - TypeScript 모범 사례를 따르고, 타입 안전성을 유지해 주세요
+
+3. **테스트**
+
+    - 새로운 기능에는 테스트를 추가해 주세요
+    - `npm test`를 실행하여 모든 테스트가 통과하는지 확인해 주세요
+    - 변경사항이 기존 테스트에 영향을 미치는 경우 해당 테스트를 업데이트해 주세요
+    - 적절한 경우 단위 테스트와 통합 테스트를 모두 포함해 주세요
+
+4. **Changesets를 활용한 버전 관리**
+
+    - 사용자에게 영향을 미치는 변경 사항이 있는 경우, `npm run changeset`을 실행하여 changeset을 생성해 주세요
+    - 적절한 버전 증가 옵션을 선택하세요:
+        - `major` 호환되지 않는 변경 (1.0.0 → 2.0.0)
+        - `minor` 새로운 기능 추가 (1.0.0 → 1.1.0)
+        - `patch` 버그 수정 (1.0.0 → 1.0.1)
+    - 영향을 설명하는 명확한 변경사항 메시지를 작성해 주세요
+    - 문서 변경만 있는 경우 changeset이 필요하지 않습니다
+
+5. **커밋 가이드라인**
+
+    - 명확하고 설명적인 커밋 메시지를 작성해 주세요
+    - 컨벤셔널 커밋 형식(예: "feat:", "fix:", "docs:")을 사용해 주세요
+    - 커밋에서 관련 이슈를 #issue-number를 사용하여 참조해 주세요
+
+6. **제출 전 확인사항**
+
+    - 최신 main에 브랜치를 리베이스해 주세요
+    - 브랜치가 정상적으로 빌드되는지 확인해 주세요
+    - 모든 테스트가 통과하는지 다시 확인해 주세요
+    - 디버그 코드나 콘솔 로그가 없는지 변경사항을 확인해 주세요
+
+7. **Pull Request 설명**
+    - 변경 내용을 명확하게 설명해 주세요
+    - 변경사항을 테스트하는 방법을 포함해 주세요
+    - 호환되지 않는 변경 사항이 있다면 목록으로 작성해주세요
+    - UI 변경이 있는 경우, 스크린샷을 추가해 주세요
+
+## 기여 동의서
+
+Pull Request를 제출함으로써, 귀하의 기여가 프로젝트와 동일한 라이선스([Apache 2.0](/LICENSE)) 에 따라 제공됨에 동의하는 것입니다.
+
+기억하세요: Cline에 기여하는 것은 코드를 작성하는 것뿐만 아니라, AI 지원 개발의 미래를 형성하는 커뮤니티의 일원이 되는 것입니다. 함께 멋진 것을 만들어봅시다! 🚀

locales/ko/README.md

@@ -0,0 +1,172 @@
+# Cline - 최고의 OpenRouter
+
+<p align="center">
+    <img src="https://media.githubusercontent.com/media/cline/cline/main/assets/docs/demo.gif" width="100%" />
+</p>
+
+<div align="center">
+<table>
+<tbody>
+<td align="center">
+<a href="https://marketplace.visualstudio.com/items?itemName=saoudrizwan.claude-dev" target="_blank"><strong>VS Marketplace에서 다운로드</strong></a>
+</td>
+<td align="center">
+<a href="https://discord.gg/cline" target="_blank"><strong>Discord</strong></a>
+</td>
+<td align="center">
+<a href="https://www.reddit.com/r/cline/" target="_blank"><strong>r/cline</strong></a>
+</td>
+<td align="center">
+<a href="https://github.com/cline/cline/discussions/categories/feature-requests?discussions_q=is%3Aopen+category%3A%22Feature+Requests%22+sort%3Atop" target="_blank"><strong>기능 요청</strong></a>
+</td>
+<td align="center">
+<a href="https://cline.bot/join-us" target="_blank"><strong>채용 정보</strong></a>
+</td>
+</tbody>
+</table>
+</div>
+
+Cline을 만나보세요, **CLI** 및 **에디터**를 활용할 수 있는 AI 어시스턴트입니다.
+
+[Claude 3.7 Sonnet의 에이전트형 코딩 기능](https://www.anthropic.com/claude/sonnet) 덕분에, Cline은 복잡한 소프트웨어 개발 작업을 단계별로 처리할 수 있습니다. 파일 생성과 편집, 대규모 프로젝트 탐색, 브라우저 사용, 터미널 명령 실행(권한 허가 필요) 등의 도구를 사용하여 단순 코드 완성이나 기술 지원을 넘어서는 도움을 제공합니다. Cline은 Model Context Protocol(MCP)를 사용하여 새로운 도구를 만들고 자신의 기능을 확장할 수도 있습니다. 자율적인 AI 스크립트는 일반적으로 샌드박스 환경에서 실행되지만, 이 확장 프로그램은 모든 파일 변경 및 터미널 명령을 승인할 수 있는 사람이 개입가능한 GUI를 제공하여, 에이전트형 AI의 잠재력을 보다 안전하고 쉽게 탐색할 수 있도록 합니다.
+
+1. 작업을 입력하고, 목업을 기능하는 앱으로 변환하거나 스크린샷으로 버그를 수정합니다.
+2. Cline은 파일 구조와 소스코드 AST의 분석, 정규식 검색 실행, 관련 파일 읽기부터 시작하여 기존 프로젝트를 파악합니다. 또한, 어떤 정보를 컨텍스트에 추가할지를 신중하게 관리하여, 대규모 복잡한 프로젝트에서도 컨텍스트 윈도우를 과부하시키지 않으면서도 효과적인 지원을 제공합니다.
+3. Cline이 필요한 정보를 얻은 후 다음과 같은 작업을 할 수 있습니다:
+    - 파일 생성과 편집 + 린터/컴파일러 오류 모니터링을 수행하여 누락된 임포트나 구문 오류 등의 문제를 자동으로 수정합니다.
+    - 터미널에서 명령을 직접 실행하고 작업 중에 출력을 모니터링합니다. 이를 통해 파일 편집 후 개발 서버의 문제에 대응할 수 있습니다.
+    - 웹 개발 작업에서는 헤드리스 브라우저로 사이트를 실행하고, 클릭, 입력, 스크롤, 스크린샷과 콘솔 로그 캡처를 수행하여 런타임 오류나 시각적 버그를 수정합니다.
+4. 작업이 완료되면 Cline은 `open -a "Google Chrome" index.html`과 같은 터미널 명령을 제공하여 버튼 클릭 한 번으로 결과를 확인할 수 있도록 합니다.
+
+> [!TIP]
+> `CMD/CTRL + Shift + P` 단축키를 사용하여 명령 팔레트를 열고 "Cline: Open In New Tab"을 입력하여 에디터의 탭으로 확장 프로그램을 엽니다. 이를 통해 파일 탐색기와 병행하여 Cline을 사용하고 워크스페이스의 변경을 더 명확하게 확인할 수 있습니다.
+
+---
+
+<img align="right" width="340" src="https://github.com/user-attachments/assets/3cf21e04-7ce9-4d22-a7b9-ba2c595e88a4">
+
+### 어떤 API나 모델이든 사용 가능
+
+Cline은 OpenRouter, Anthropic, OpenAI, Google Gemini, AWS Bedrock, Azure, GCP Vertex 등의 API 제공자를 지원합니다. 또한 OpenAI 호환 API를 설정하거나 LM Studio/Ollama를 통해 로컬 모델을 사용할 수도 있습니다. OpenRouter를 사용하는 경우, 확장 프로그램에서 최신 모델 목록을 가져와 바로 최신 모델을 사용할 수 있게 합니다.
+
+또한, Cline은 전체 작업 루프와 개별 요청별로 토큰 사용량과 API 비용을 추적하여, 진행 중인 작업의 비용을 실시간으로 확인할 수 있도록 도와줍니다.
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="left" width="370" src="https://github.com/user-attachments/assets/81be79a8-1fdb-4028-9129-5fe055e01e76">
+
+### 터미널에서 명령 실행
+
+VSCode v1.93의 새로운 [셸 통합 업데이트](https://code.visualstudio.com/updates/v1_93#_terminal-shell-integration-api) 덕분에, Cline은 터미널에서 명령을 직접 실행하고 출력을 받을 수 있습니다. 이를 통해 패키지 설치나 빌드 스크립트 실행부터 애플리케이션 배포, 데이터베이스 관리, 테스트 실행까지 광범위한 작업을 수행할 수 있습니다. Cline은 개발 환경과 도구 체인에 맞추어 정확하게 작업을 실행합니다.
+
+개발 서버와 같은 오래 실행되는 프로세스의 경우, "실행 중 계속"(Proceed While Running) 버튼을 사용하여 명령이 백그라운드에서 실행되는 동안 Cline이 작업을 계속할 수 있게 합니다. 작업이 진행되는 동안 Cline은 새로운 터미널 출력을 실시간으로 확인하여, 파일 편집 시 발생하는 컴파일 오류와 같은 문제에 즉시 대응할 수 있습니다.
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="right" width="400" src="https://github.com/user-attachments/assets/c5977833-d9b8-491e-90f9-05f9cd38c588">
+
+### 파일 생성과 편집
+
+Cline은 에디터 내에서 파일을 생성 및 편집하고 변경의 Diff 뷰로 표시합니다. Diff 뷰 에디터에서 Cline의 변경을 직접 편집하거나 되돌릴 수 있으며, 채팅에서 피드백을 제공하여 만족할 때까지 개선 요청할 수 있습니다. Cline은 린터/컴파일러 오류(누락된 임포트, 구문 오류 등)도 모니터링하고 발생한 문제를 자동으로 수정합니다.
+
+Cline에 의한 모든 변경은 파일의 타임라인에 기록되어 필요할 때 변경을 추적하고 되돌릴 수 있는 간단한 방법을 제공합니다.
+
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="left" width="370" src="https://github.com/user-attachments/assets/bc2e85ba-dfeb-4fe6-9942-7cfc4703cbe5">
+
+### 브라우저 사용
+
+Claude 3.5 Sonnet의 새로운 [컴퓨터 사용](https://www.anthropic.com/news/3-5-models-and-computer-use) 기능으로 인해, Cline은 브라우저를 실행하고 요소를 클릭하고 텍스트를 입력하고 스크롤하며 각 단계에서 스크린샷과 콘솔 로그를 캡처할 수 있습니다. 이를 통해 인터랙티브한 디버깅, 엔드투엔드 테스트, 심지어 일반적인 웹 탐색까지 가능해집니다. 이로 인해 오류 로그를 수동으로 복사 & 붙여넣기 할 필요 없이 시각적 버그나 런타임 문제를 자율적으로 수정할 수 있습니다.
+
+Cline에게 "앱을 테스트해줘"라고 요청하면, `npm run dev`와 같은 명령을 실행하고 로컬에서 실행 중인 개발 서버를 브라우저에서 실행하여 일련의 테스트를 수행하고 모든 것이 정상적으로 작동하는지 확인합니다. [데모는 여기를 참조하세요.](https://x.com/sdrzn/status/1850880547825823989)
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="right" width="350" src="https://github.com/user-attachments/assets/ac0efa14-5c1f-4c26-a42d-9d7c56f5fadd">
+
+### "도구를 추가 해주세요."
+
+Cline은 [Model Context Protocol](https://github.com/modelcontextprotocol)을 활용하여 커스텀 도구를 생성하고 기능을 확장할 수 있습니다. 기존의 [커뮤니티 서버](https://github.com/modelcontextprotocol/servers)를 사용할 수도 있지만, Cline은 사용자의 워크플로우에 최적화된 도구를 직접 제작하고 설치할 수도 있습니다. "~ 도구를 추가해주세요."라고 요청만 하면, Cline은 새로운 MCP 서버 생성부터 확장 프로그램 내 설치까지 모두 자동으로 처리합니다. 이러한 커스텀 도구는 Cline의 툴키트의 일부가 되어 향후 작업에서 사용할 수 있게 됩니다.
+
+- "Jira 티켓을 가져오는 도구를 추가해주세요": 티켓 AC를 가져와 Cline에게 작업을 요청
+- "AWS EC2를 관리하는 도구를 추가해주세요": 서버 메트릭을 확인하고 인스턴스를 확장 또는 축소
+- "최신 PagerDuty 인시던트를 가져오는 도구를 추가해주세요": 최신 장애 정보를 가져와 Cline에게 버그 수정 요청
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="left" width="360" src="https://github.com/user-attachments/assets/7fdf41e6-281a-4b4b-ac19-020b838b6970">
+
+### 컨텍스트 추가
+
+**`@url`：** URL을 붙여넣으면 확장이 해당 페이지를 가져와 Markdown으로 변환합니다. 최신 문서를 Cline에게 제공할 때 유용합니다.
+
+**`@problems`：** Cline이 수정할 워크스페이스 오류와 경고(Problems' panel)를 추가합니다.
+
+**`@file`：** 파일의 내용을 추가하여, 파일을 읽는 데 API 요청을 허비하지 않고도 Cline이 접근할 수 있도록 합니다. (+ 파일 검색 가능)
+
+**`@folder`：** 폴더 내 모든 파일을 한 번에 추가하여 워크플로우를 더욱 빠르게 진행할 수 있습니다.
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="right" width="350" src="https://github.com/user-attachments/assets/140c8606-d3bf-41b9-9a1f-4dbf0d4c90cb">
+
+### 체크포인트: 비교 및 복원
+
+Cline이 작업을 진행하는 동안 확장 프로그램은 각 단계에서 워크스페이스의 스냅샷을 저장합니다. “Compare” 버튼을 사용하여 스냅샷과 현재 워크스페이스의 차이를 확인하고, “Restore” 버튼을 사용하여 해당 시점으로 롤백할 수 있습니다.
+
+예를 들어, 로컬 웹 서버에서 작업 중일 때 “Restore Workspace Only”을 사용하여 서로 다른 버전의 앱을 신속하게 테스트하고, “Restore Task and Workspace”을 사용하여 계속 진행할 버전을 찾을 수 있습니다. 이를 통해 진행 상황을 잃지 않고 안전하게 다양한 접근 방식을 실험할 수 있습니다.
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+## 기여
+
+프로젝트에 기여하려면, [기여 가이드](CONTRIBUTING.md)에서 기본 사항을 익히세요. 또한, [Discord](https://discord.gg/cline)에 참여하여 `#contributors` 채널에서 다른 기여자들과 이야기할 수 있습니다. 풀타임 직업을 찾고 있다면, [채용 페이지](https://cline.bot/join-us)에서 열려있는 포지션을 확인하세요.
+
+<details>
+<summary>로컬 개발 방법</summary>
+
+1. 리포지토리를 클론합니다 _(Requires [git-lfs](https://git-lfs.com/))_：
+        ```bash
+        git clone https://github.com/cline/cline.git
+        ```
+2. 프로젝트를 VSCode에서 엽니다：
+        ```bash
+        code cline
+        ```
+3. 확장 프로그램과 webview-gui의 필요한 의존성을 설치합니다：
+        ```bash
+        npm run install:all
+        ```
+4. `F5`를 눌러(또는 `Run`->`Start Debugging`), 확장 프로그램이 로드된 새로운 VSCode 창을 엽니다. (프로젝트 빌드에 문제가 있는 경우, [esbuild problem matchers extension](https://marketplace.visualstudio.com/items?itemName=connor4312.esbuild-problem-matchers)을 설치해야 할 수도 있습니다.)
+
+</details>
+
+<details>
+<summary>Pull Request 생성 방법</summary>
+
+1. PR을 만들기 전, 변경 사항을 기록하는 changeset 항목을 생성:
+    ```bash
+    npm run changeset
+    ```
+   이후 프롬프트에서 다음 정보를 입력하세요:
+   - 변경 유형 (major, minor, patch)
+     - `major` → 호환되지 않는 변경 (1.0.0 → 2.0.0)
+     - `minor` → 새로운 기능 추가 (1.0.0 → 1.1.0)
+     - `patch` → 버그 수정 (1.0.0 → 1.0.1)
+   - 변경 사항 설명 입력
+
+2. 변경 사항과 생성된 `.changeset` 파일을 커밋 후 브랜치를 푸시하고 GitHub에서 PR을 생성하세요.
+
+3. 브랜치를 푸시하고 GitHub에서 PR을 생성하세요. CI가 다음과 같은 작업을 수행합니다:
+   - 테스트 및 코드 검증 실행
+   - Changesetbot이 버전 변경 영향을 보여주는 코멘트를 생성
+   - 브랜치가 메인에 머지되면, Changesetbot이 버전 패키지 PR을 생성
+   - 버전 패키지 PR이 머지되면, 새로운 릴리즈가 게시됨
+
+</details>
+
+## 라이센스
+
+[Apache 2.0 © 2025 Cline Bot Inc.](/LICENSE)

locales/pt-BR/CODE_OF_CONDUCT.md

@@ -0,0 +1,51 @@
+# Código de Conduta para Contribuidores
+
+## Nosso Compromisso
+
+
+Com o objetivo de promover um ambiente aberto e acolhedor, nós, como contribuidores e mantenedores, nos comprometemos a tornar a participação em nosso projeto e comunidade uma experiência livre de assédio para todos, independentemente de idade, tamanho corporal, deficiência, etnia, características sexuais, identidade e expressão de gênero, nível de experiência, educação, status socioeconômico, nacionalidade, aparência pessoal, raça, religião ou orientação sexual.
+
+## Nossos Padrões
+
+Exemplos de comportamentos que contribuem para criar um ambiente positivo incluem:
+
+-   Uso de linguagem acolhedora e inclusiva
+-   Respeito por diferentes pontos de vista e experiências
+-   Aceitar críticas de maneira construtiva
+-   Foco no que é melhor para a comunidade
+-   Ser empático com outros membros da comunidade
+
+
+Exemplos de comportamentos inaceitáveis por parte dos participantes incluem:
+
+-   Uso de linguagem ou imagens sexualizadas e atenção ou avanços sexuais indesejados
+-   Trollar, insultar, fazer comentários depreciativos, ataques pessoais ou políticos
+-   Assédio público ou privado
+-   Divulgar informações privadas sem autorização, como endereços físicos ou eletrônicos, sem permissão explícita
+-   Outras condutas que poderiam ser consideradas inadequadas em um ambiente profissional
+
+## Nossas Responsabilidades
+
+Os mantenedores do projeto são responsáveis por esclarecer os padrões de comportamento aceitáveis e devem tomar ações corretivas apropriadas e justas em resposta a qualquer instância de comportamento inaceitável.
+
+Os mantenedores têm o direito e a responsabilidade de remover, editar ou rejeitar comentários, commits, códigos, edições no wiki, issues e outras contribuições que não estejam alinhadas com este Código de Conduta. Também podem banir temporária ou permanentemente qualquer colaborador cujo comportamento seja considerado inapropriado, ameaçador, ofensivo ou prejudicial.
+
+## Escopo
+
+Este Código de Conduta se aplica tanto aos espaços do projeto quanto aos espaços públicos
+quando uma pessoa representa o projeto ou sua comunidade. Exemplos de
+representação de um projeto ou comunidade incluem o uso de um endereço de e-mail oficial do projeto,
+publicar em uma conta oficial de mídia social ou atuar como representante designado
+em um evento online ou offline. A representação de um projeto pode
+ser mais especificamente definido e esclarecido pelos mantenedores do projeto.
+
+## Aplicação
+
+Casos de comportamento abusivo, assediador ou inaceitáveis podem ser reportados entrando em contato com a equipe do projeto pelo email hi@cline.bot. Todas as queixas serão revisadas e investigadas confidencialmente. Mais detalhes sobre políticas específicas podem ser publicados separadamente.
+
+Os mantenedores que não seguirem ou aplicarem este Código de Conduta de boa fé podem enfrentar repercussões temporárias ou permanentes determinadas por outros membros da liderança do projeto.
+
+## Atribuição
+
+Este Código de Conduta é adaptado do [Contributor Covenant](https://www.contributor-covenant.org), versão 1.4, disponível em https://www.contributor-covenant.org/version/1/4/code-of-conduct.html.
+

locales/pt-BR/CONTRIBUTING.md

@@ -0,0 +1,83 @@
+# Contribuir para o Cline
+
+Estamos felizes por você estar interessado em contribuir com o Cline. Seja corrigindo um erro, adicionando uma funcionalidade ou melhorando nossa documentação, cada contribuição torna o Cline mais inteligente! Para manter nossa comunidade viva e acolhedora, todos os membros devem cumprir nosso Código de Conduta [Código de Conduta](CODE_OF_CONDUCT.md).
+
+## Relatar erros ou problemas
+
+Relatar erros ajuda a melhorar o Cline para todos! Antes de criar um novo issue, revise as [issues existentes](https://github.com/cline/cline/issues) para evitar duplicações. Quando estiver pronto para relatar um erro, vá até nossa [página de Issues](https://github.com/cline/cline/issues/new/choose), onde você encontrará um modelo que ajudará a preencher as informações relevantes.
+
+<blockquote class='warning-note'>
+    🔐 <b>Importante:</b> Se você descobrir uma vulnerabilidade de segurança, utilize a <a href="https://github.com/cline/cline/security/advisories/new">ferramenta de segurança do GitHub</a> para relatá-la de forma privada.
+</blockquote>
+
+## Escolher no que trabalhar
+
+Procurando uma boa primeira contribuição? Consulte os problemas marcados com ["good first issue"](https://github.com/cline/cline/labels/good%20first%20issue) ou ["help wanted"](https://github.com/cline/cline/labels/help%20wanted). Estes foram especialmente selecionados para novos colaboradores e são áreas em que adoraríamos receber ajuda!
+
+Também damos boas-vindas a contribuições para nossa [documentação](https://github.com/cline/cline/tree/main/docs). Seja corrigindo erros de digitação, melhorando guias existentes ou criando novos conteúdos educativos, queremos construir um repositório de recursos gerido pela comunidade que ajude todos a tirar o máximo proveito do Cline. Você pode começar explorando `/docs` e procurando áreas que precisam de melhorias.
+
+Se planeja trabalhar em uma funcionalidade maior, crie primeiro uma [solicitação de funcionalidade](https://github.com/cline/cline/discussions/categories/feature-requests?discussions_q=is%3Aopen+category%3A%22Feature+Requests%22+sort%3Atop) para que possamos discutir se ela se alinha à visão do Cline.
+
+## Configurar o ambiente de desenvolvimento
+
+1. **Extensões do VS Code**
+
+    - Ao abrir o projeto, o VS Code solicitará que você instale as extensões recomendadas.
+    - Essas extensões são necessárias para o desenvolvimento – aceite todas as solicitações de instalação.
+    - Caso tenha rejeitado as solicitações, você pode instalá-las manualmente na seção de extensões.
+
+2. **Desenvolvimento local**
+    - Execute `npm run install:all` para instalar as dependências.
+    - Execute `npm run test` para rodar os testes localmente.
+    - Antes de enviar um PR, execute `npm run format:fix` para formatar seu código.
+
+## Escrever e enviar código
+
+Qualquer pessoa pode contribuir com código para o Cline, mas pedimos que siga estas diretrizes para garantir que suas contribuições sejam integradas sem problemas:
+
+1. **Mantenha os Pull Requests focados**
+
+    - Limite os PRs a uma única funcionalidade ou correção de erro.
+    - Divida alterações maiores em PRs menores e coerentes.
+    - Divida as alterações em commits lógicos que possam ser revisados independentemente.
+
+2. **Qualidade do código**
+
+    - Execute `npm run lint` para verificar o estilo do código.
+    - Execute `npm run format` para formatar automaticamente o código.
+    - Todos os PRs devem passar nas verificações do CI, que incluem linting e formatação.
+    - Resolva todos os avisos ou erros do ESLint antes de enviar.
+    - Siga as melhores práticas para TypeScript e mantenha a segurança dos tipos.
+
+3. **Testes**
+
+    - Adicione testes para novas funcionalidades.
+    - Execute `npm test` para garantir que todos os testes passem.
+    - Atualize testes existentes caso suas alterações os afetem.
+    - Inclua tanto testes unitários quanto de integração onde for apropriado.
+
+4. **Diretrizes de commits**
+
+    - Escreva mensagens de commit claras e descritivas.
+    - Use o formato convencional (por exemplo, "feat:", "fix:", "docs:").
+    - Faça referência aos issues relevantes nos commits usando #número-do-issue.
+
+5. **Antes de enviar**
+
+    - Faça rebase com sua branch com a última versão da branch principal (main).
+    - Certifique-se de que sua branch seja construída corretamente.
+    - Verifique se todos os testes passam.
+    - Revise suas alterações para remover qualquer código de depuração ou logs desnecessários.
+
+6. **Descrição do Pull Request**
+    - Descreva claramente o que suas alterações fazem.
+    - Inclua passos para testar as alterações.
+    - Liste quaisquer mudanças importantes.
+    - Adicione capturas de tela para mudanças na interface do usuário.
+
+## Acordo de contribuição
+
+Ao enviar um Pull Request, você concorda que suas contribuições serão licenciadas sob a mesma licença do projeto ([Apache 2.0](LICENSE)).
+
+Lembre-se: Contribuir com o Cline não é apenas escrever código – é fazer parte de uma comunidade que está moldando o futuro do desenvolvimento assistido por IA. Vamos criar algo incrível juntos! 🚀
+

locales/pt-BR/README.md

@@ -0,0 +1,161 @@
+# Cline – #1 no OpenRouter
+
+<p align="center">
+        <img src="https://media.githubusercontent.com/media/cline/cline/main/assets/docs/demo.gif" width="100%" />
+</p>
+
+<div align="center">
+<table>
+<tbody>
+<td align="center">
+<a href="https://marketplace.visualstudio.com/items?itemName=saoudrizwan.claude-dev" target="_blank"><strong>Baixar no VS Marketplace</strong></a>
+</td>
+<td align="center">
+<a href="https://discord.gg/cline" target="_blank"><strong>Discord</strong></a>
+</td>
+<td align="center">
+<a href="https://www.reddit.com/r/cline/" target="_blank"><strong>r/cline</strong></a>
+</td>
+<td align="center">
+<a href="https://github.com/cline/cline/discussions/categories/feature-requests?discussions_q=is%3Aopen+category%3A%22Feature+Requests%22+sort%3Atop" target="_blank"><strong>Solicitação de Funcionalidades</strong></a>
+</td>
+<td align="center">
+<a href="https://cline.bot/join-us" target="_blank"><strong>Estamos Contratando!</strong></a>
+</td>
+</tbody>
+</table>
+</div>
+
+Conheça o Cline: um assistente de IA que pode usar seu **CLI** e **Editor**.
+
+Graças às [habilidades avançadas do Claude 3.7 Sonnet](https://www.anthropic.com/claude/sonnet), o Cline pode lidar com tarefas complexas de desenvolvimento de software passo a passo. Com ferramentas que permitem criar e editar arquivos, explorar grandes projetos, usar o navegador e executar comandos no terminal (com sua aprovação), ele pode ajudar você de maneiras que vão além da inclusão de código ou suporte técnico. O Cline pode é capaz inclusive de usar o Model Context Protocol (MCP) para criar novas ferramentas e expandir seus próprios recursos. Embora os scripts de IA autônomas tradicionalmente sejam executados em ambientes isolados, esta extensão oferece uma GUI com um humano no circuito para aprovar cada alteração de arquivo e comando de terminal, fornecendo uma maneira segura e acessível de explorar todo o potencial da IA.
+
+1. Insira sua tarefa e adicione imagens para transformar mockups em aplicativos funcionais ou corrigir erros através de capturas de tela.
+
+2. O Cline começará analisando a estrutura do seu arquivo e os ASTs do código-fonte, fazendo pesquisas com Regex e lendo arquivos relevantes para se orientar em projetos existentes. Ao gerenciar cuidadosamente as informações agregadas, o Cline pode fornecer assistência valiosa mesmo em projetos grandes e complexos, sem sobrecarregar a janela de contexto.
+3. Assim que ele tiver as informações necessárias, o Cline poderá:
+                - Criar e editar arquivos + monitorar erros de Linter/Compilador, para que você possa corrigir proativamente problemas como importações ausentes e erros de sintaxe.
+                - Executar comandos diretamente no terminal e monitorar o resultado, para que você possa responder a problemas do servidor de desenvolvimento após editar um arquivo.
+                - Para tarefas de desenvolvimento web, o Cline pode iniciar o site em um navegador headless, clicar, digitar, fazer scroll e capturar capturas de tela + registros de console, para que você possa corrigir erros em tempo de execução e erros visuais.
+
+> [!TIP]
+> Use o atalho de teclado `CMD/CTRL + Shift + P` para abrir a lista de comandos possiveis e digite "Cline: Abrir em nova aba" para abrir a extensão como uma aba no seu editor. Dessa forma, você pode usar o Cline junto com seu explorador de arquivos e ver mais claramente como seu espaço de trabalho muda.
+
+---
+
+<img align="right" width="340" src="https://github.com/user-attachments/assets/3cf21e04-7ce9-4d22-a7b9-ba2c595e88a4">
+
+### Use qualquer API ou modelo
+
+O Cline oferece suporte a provedores de API como OpenRouter, Anthropic, OpenAI, Google Gemini, AWS Bedrock, Azure e GCP Vertex. Você também pode configurar qualquer API compatível com OpenAI ou usar um modelo local via LM Studio/Ollama. Se você usar o OpenRouter, a extensão recuperará sua lista de modelos mais recentes, para que você possa usar os modelos mais novos assim que estiverem disponíveis.
+
+A extensão também rastreia o uso total de tokens e os custos da API para todo o ciclo de tarefas e solicitações individuais, para que você seja informado sobre as despesas em cada etapa.
+
+<!-- Pixel transparente para criar uma quebra de linha após a imagem flutuante -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="left" width="370" src="https://github.com/user-attachments/assets/81be79a8-1fdb-4028-9129-5fe055e01e76">
+
+### Executar comandos no terminal
+
+Graças às novas [atualizações de integração do Shell no VSCode v1.93](https://code.visualstudio.com/updates/v1_93#_terminal-shell-integration-api), o Cline pode executar comandos diretamente no seu terminal e receber o resultado. Isso permite que você execute uma variedade de tarefas, desde instalar pacotes e executar build scripts para fazer deploy de aplicações, gerenciar bancos de dados e executar testes, adaptando-se ao seu ambiente de desenvolvimento e ferramentas para fazer o trabalho corretamente.
+
+Para processos de longa duração, como servidores de desenvolvimento, use o botão "Continuar durante a execução" para permitir que o Cline continue a tarefa enquanto o comando é executado em segundo plano. Enquanto Cline trabalha, você será notificado sobre novas saídas do terminal, para que possa responder a problemas que possam surgir, como erros de compilação ao editar arquivos.
+
+<!-- Pixel transparente para criar uma quebra de linha após a imagem flutuante -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="right" width="400" src="https://github.com/user-attachments/assets/c5977833-d9b8-491e-90f9-05f9cd38c588">
+
+### Criar e editar arquivos
+
+Cline pode criar e editar arquivos diretamente no seu editor, apresentando um diff com as alterações. Você pode editar ou reverter as alterações do Cline diretamente no editor de diff ou fornecer feedback no chat até ficar satisfeito com o resultado. Cline também monitora erros de linter/compilador (importações ausentes, erros de sintaxe, etc.) para que possa corrigir problemas que surgem ao longo do caminho por conta própria.
+
+Todas as alterações feitas pelo Cline são registradas na Linha do tempo do arquivo, fornecendo uma maneira fácil de rastrear e reverter modificações, caso seja necessário.
+
+<!-- Pixel transparente para criar uma quebra de linha após a imagem flutuante -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="left" width="370" src="https://github.com/user-attachments/assets/bc2e85ba-dfeb-4fe6-9942-7cfc4703cbe5">
+
+### Uso do navegador
+
+Com a nova habilidade de [uso de computador](https://www.anthropic.com/news/3-5-models-and-computer-use) do Claude Sonnet 3.5, Cline pode abrir um navegador, clicar em elementos, digitar texto e rolar, capturando a tela e logs de console. Isso permite depurar de maneira interativa, testes end-to-end e até mesmo uso geral da web. Isso lhe dá autonomia para solucionar erros visuais e problemas em tempo de execução sem precisar copiar e colar logs dos erros.
+
+Tente pedir a Cline para "testar o aplicativo" e observe enquanto o Cline executa um comando como `npm run dev`, inicia seu servidor de desenvolvimento local em um navegador e executa uma série de testes para confirmar se tudo funciona. [Veja uma demonstração aqui.](https://x.com/sdrzn/status/1850880547825823989)
+
+<!-- Pixel transparente para crear un salto de línea después de la imagen flotante -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="right" width="350" src="https://github.com/user-attachments/assets/ac0efa14-5c1f-4c26-a42d-9d7c56f5fadd">
+
+### "adicione uma ferramenta que..."
+
+Graças ao [Model Context Protocol](https://github.com/modelcontextprotocol), o Cline pode expandir seus recursos por meio de ferramentas personalizadas. Embora você possa usar [servidores criados pela comunidade](https://github.com/modelcontextprotocol/servers), Cline pode criar e instalar ferramentas especificamente para seu fluxo de trabalho. Basta pedir ao Cline para "adicionar uma ferramenta" e ele cuidará de tudo, desde a criação de um novo servidor MCP até a instalação na extensão. Essas ferramentas personalizadas se tornam parte do conjunto de ferramentas da Cline e estão prontas para serem usadas em tarefas futuras.
+
+- "adicione uma ferramenta que recupere tickets do Jira": Recupere ACs de tickets e coloque Cline para trabalhar
+- "adicione uma ferramenta que gerencie AWS EC2s": verifique as métricas do servidor e aumente ou diminua as instâncias
+- "adicione uma ferramenta para recuperar os últimos incidentes do PagerDuty": Recupere detalhes e peça ao Cline para corrigir erros
+
+<!-- Pixel transparente para crear un salto de línea después de la imagen flotante -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="left" width="360" src="https://github.com/user-attachments/assets/7fdf41e6-281a-4b4b-ac19-020b838b6970">
+
+### Adicione contexto
+
+**`@url`:** Insira uma URL para a extensão recuperar e converter para Markdown, que é útil quando você deseja fornecer ao Cline documentos mais recentes
+
+**`@problems`:** Adicionar erros e avisos do espaço de trabalho (painel 'Problemas') que o Cline deve corrigir
+
+**`@file`:** Adicione o conteúdo de um arquivo para que você não precise desperdiçar solicitações de API para aprovar a leitura do arquivo (+ para pesquisar arquivos)
+
+**`@folder`:** Adicione arquivos de uma pasta por vez para acelerar ainda mais seu fluxo de trabalho
+
+<!-- Pixel transparente para criar uma quebra de linha após a imagem flutuante -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+<img align="right" width="350" src="https://github.com/user-attachments/assets/140c8606-d3bf-41b9-9a1f-4dbf0d4c90cb">
+
+### Checkpoints: Comparar e Restaurar
+
+Enquanto Cline trabalha em uma tarefa, a extensão cria um instantâneo de seu espaço de trabalho em cada etapa. Você pode usar o botão "Comparar" para ver a diferença entre o instantâneo e seu espaço de trabalho atual, e o botão "Restaurar" para retornar a esse ponto.
+
+Por exemplo, se estiver trabalhando com um servidor web local, você pode usar 'Restaurar somente o espaço de trabalho' para testar rapidamente diferentes versões do seu aplicativo e, em seguida, 'Restaurar tarefa e espaço de trabalho' quando encontrar a versão na qual deseja continuar trabalhando. Isso permite que você explore diferentes abordagens com segurança sem perder o progresso.
+
+<!-- Pixel transparente para crear un salto de línea después de la imagen flotante -->
+
+<img width="2000" height="0" src="https://github.com/user-attachments/assets/ee14e6f7-20b8-4391-9091-8e8e25561929"><br>
+
+## Contribuições
+
+Para contribuir com o projeto, comece com nosso [Guia de Contribuição](CONTRIBUTING.md) para aprender o básico. Você também pode entrar no nosso [Discord](https://discord.gg/cline) para bater papo com outros colaboradores no canal `#contributors`. Se você está procurando um emprego de período integral, confira nossas vagas em aberto na nossa [página de carreiras](https://cline.bot/join-us).
+
+<details>
+<summary>Instruções para desenvolvimento local</summary>
+
+1. Clone o repositório _(Necessário [git-lfs](https://git-lfs.com/))_:
+                ```bash
+                git clone https://github.com/cline/cline.git
+                ```
+2. Abra o projeto no VSCode:
+                ```bash
+                code cline
+                ```
+3. Instale as dependências necessárias para a extensão e webview-gui:
+                ```bash
+                npm run install:all
+                ```
+4. Inicie pressionando `F5` (ou `Executar`->`Iniciar Depuração`) para abrir uma nova janela do VSCode com a extensão carregada. (Pode ser necessário instalar a [extensão esbuild problem matchers](https://marketplace.visualstudio.com/items?itemName=connor4312.esbuild-problem-matchers) se você encontrar problemas ao compilar seu projeto.)
+
+</details>
+
+## Licença
+
+[Apache 2.0 © 2025 Cline Bot Inc.](./LICENSE)

locales/zh-cn/README.md

@@ -28,7 +28,7 @@
 
 认识 Cline，一个可以使用你的 **CLI** 和 **编辑器** 的 AI 助手。
 
-感谢 [Claude 3.5 Sonnet 的代理编码能力](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf)，Cline 可以一步步处理复杂的软件开发任务。通过允许他创建和编辑文件、探索大型项目、使用浏览器和执行终端命令（在你授予权限后），他可以提供超越代码完成或技术支持的帮助。Cline 甚至可以使用 Model Context Protocol (MCP) 创建新工具并扩展自己的能力。虽然自主 AI 脚本传统上在沙盒环境中运行，但此扩展提供了一个人机交互的 GUI 来批准每个文件更改和终端命令，提供了一种安全且可访问的方式来探索代理 AI 的潜力。
+感谢 [Claude 3.7 Sonnet 的代理编码能力](https://www.anthropic.com/claude/sonnet)，Cline 可以一步步处理复杂的软件开发任务。通过允许他创建和编辑文件、探索大型项目、使用浏览器和执行终端命令（在你授予权限后），他可以提供超越代码完成或技术支持的帮助。Cline 甚至可以使用 Model Context Protocol (MCP) 创建新工具并扩展自己的能力。虽然自主 AI 脚本传统上在沙盒环境中运行，但此扩展提供了一个人机交互的 GUI 来批准每个文件更改和终端命令，提供了一种安全且可访问的方式来探索代理 AI 的潜力。
 
 1. 输入你的任务并添加图像，将模型转换为功能应用程序或通过截图修复错误。
 2. Cline 首先分析你的文件结构和源代码 AST，运行正则表达式搜索，并阅读相关文件以了解现有项目。通过仔细管理添加到上下文中的信息，Cline 即使在大型复杂项目中也能提供有价值的帮助，而不会使上下文窗口过载。
@@ -158,5 +158,5 @@ Cline 所做的所有更改都会记录在你的文件时间轴中，提供了
 
 ## 许可证
 
-[Apache 2.0 © 2024 Cline Bot Inc.](./LICENSE)
+[Apache 2.0 © 2025 Cline Bot Inc.](./LICENSE)
 

locales/zh-tw/README.md

@@ -28,7 +28,7 @@
 
 認識 Cline，一個可以使用你的 **CLI** 和 **編輯器** 的 AI 助手。
 
-感謝 [Claude 3.5 Sonnet 的代理編碼能力](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf)，Cline 可以一步步處理複雜的軟件開發任務。通過允許他創建和編輯文件、探索大型項目、使用瀏覽器和執行終端命令（在你授予權限後），他可以提供超越代碼完成或技術支持的幫助。Cline 甚至可以使用 Model Context Protocol (MCP) 創建新工具並擴展自己的能力。雖然自主 AI 腳本傳統上在沙盒環境中運行，但此擴展提供了一個人機交互的 GUI 來批准每個文件更改和終端命令，提供了一種安全且可訪問的方式來探索代理 AI 的潛力。
+感謝 [Claude 3.7 Sonnet 的代理編碼能力](https://www.anthropic.com/claude/sonnet)，Cline 可以一步步處理複雜的軟件開發任務。通過允許他創建和編輯文件、探索大型項目、使用瀏覽器和執行終端命令（在你授予權限後），他可以提供超越代碼完成或技術支持的幫助。Cline 甚至可以使用 Model Context Protocol (MCP) 創建新工具並擴展自己的能力。雖然自主 AI 腳本傳統上在沙盒環境中運行，但此擴展提供了一個人機交互的 GUI 來批准每個文件更改和終端命令，提供了一種安全且可訪問的方式來探索代理 AI 的潛力。
 
 1. 輸入你的任務並添加圖像，將模型轉換為功能應用程序或通過截圖修復錯誤。
 2. Cline 首先分析你的文件結構和源代碼 AST，運行正則表達式搜索，並閱讀相關文件以了解現有項目。通過仔細管理添加到上下文中的信息，Cline 即使在大型複雜項目中也能提供有價值的幫助，而不會使上下文窗口過載。
@@ -158,4 +158,4 @@ Cline 所做的所有更改都會記錄在你的文件時間軸中，提供了
 
 ## 許可證
 
-[Apache 2.0 © 2024 Cline Bot Inc.](./LICENSE)
+[Apache 2.0 © 2025 Cline Bot Inc.](./LICENSE)

package.json

@@ -2,12 +2,8 @@
 	"name": "claude-dev",
 	"displayName": "Cline",
 	"description": "Autonomous coding agent right in your IDE, capable of creating/editing files, running commands, using the browser, and more with your permission every step of the way.",
-	"version": "3.2.8",
+	"version": "3.8.2",
 	"icon": "assets/icons/icon.png",
-	"galleryBanner": {
-		"color": "#617A91",
-		"theme": "dark"
-	},
 	"engines": {
 		"vscode": "^1.84.0"
 	},
@@ -85,6 +81,11 @@
 				"title": "Open in Editor",
 				"icon": "$(link-external)"
 			},
+			{
+				"command": "cline.accountButtonClicked",
+				"title": "Account",
+				"icon": "$(account)"
+			},
 			{
 				"command": "cline.settingsButtonClicked",
 				"title": "Settings",
@@ -94,6 +95,32 @@
 				"command": "cline.openInNewTab",
 				"title": "Open In New Tab",
 				"category": "Cline"
+			},
+			{
+				"command": "cline.dev.createTestTasks",
+				"title": "Create Test Tasks",
+				"category": "Cline",
+				"when": "cline.isDevMode"
+			},
+			{
+				"command": "cline.openDocumentation",
+				"title": "Documentation",
+				"icon": "$(book)"
+			},
+			{
+				"command": "cline.addToChat",
+				"title": "Add to Cline",
+				"category": "Cline"
+			},
+			{
+				"command": "cline.addTerminalOutputToChat",
+				"title": "Add to Cline",
+				"category": "Cline"
+			},
+			{
+				"command": "cline.fixWithCline",
+				"title": "Fix with Cline",
+				"category": "Cline"
 			}
 		],
 		"menus": {
@@ -119,9 +146,32 @@
 					"when": "view == claude-dev.SidebarProvider"
 				},
 				{
-					"command": "cline.settingsButtonClicked",
+					"command": "cline.openDocumentation",
 					"group": "navigation@5",
 					"when": "view == claude-dev.SidebarProvider"
+				},
+				{
+					"command": "cline.accountButtonClicked",
+					"group": "navigation@6",
+					"when": "view == claude-dev.SidebarProvider"
+				},
+				{
+					"command": "cline.settingsButtonClicked",
+					"group": "navigation@7",
+					"when": "view == claude-dev.SidebarProvider"
+				}
+			],
+			"editor/context": [
+				{
+					"command": "cline.addToChat",
+					"group": "navigation",
+					"when": "editorHasSelection"
+				}
+			],
+			"terminal/context": [
+				{
+					"command": "cline.addTerminalOutputToChat",
+					"group": "navigation"
 				}
 			]
 		},
@@ -160,7 +210,57 @@
 				"cline.enableCheckpoints": {
 					"type": "boolean",
 					"default": true,
-					"description": "Enables extension to save checkpoints of workspace throughout the task."
+					"description": "Enables extension to save checkpoints of workspace throughout the task. Uses git under the hood which may not work well with large workspaces."
+				},
+				"cline.disableBrowserTool": {
+					"type": "boolean",
+					"default": false,
+					"description": "Disables extension from spawning browser session."
+				},
+				"cline.modelSettings.o3Mini.reasoningEffort": {
+					"type": "string",
+					"enum": [
+						"low",
+						"medium",
+						"high"
+					],
+					"default": "medium",
+					"description": "Controls the reasoning effort when using the o3-mini model. Higher values may result in more thorough but slower responses."
+				},
+				"cline.chromeExecutablePath": {
+					"type": "string",
+					"default": null,
+					"description": "Path to Chrome executable for browser use functionality. If not set, the extension will attempt to find or download it automatically."
+				},
+				"cline.preferredLanguage": {
+					"type": "string",
+					"enum": [
+						"English",
+						"Arabic - العربية",
+						"Portuguese - Português (Brasil)",
+						"Czech - Čeština",
+						"French - Français",
+						"German - Deutsch",
+						"Hindi - हिन्दी",
+						"Hungarian - Magyar",
+						"Italian - Italiano",
+						"Japanese - 日本語",
+						"Korean - 한국어",
+						"Polish - Polski",
+						"Portuguese - Português (Portugal)",
+						"Russian - Русский",
+						"Simplified Chinese - 简体中文",
+						"Spanish - Español",
+						"Traditional Chinese - 繁體中文",
+						"Turkish - Türkçe"
+					],
+					"default": "English",
+					"description": "The language that Cline should use for communication."
+				},
+				"cline.mcpMarketplace.enabled": {
+					"type": "boolean",
+					"default": true,
+					"description": "Controls whether the MCP Marketplace is enabled."
 				}
 			}
 		}
@@ -176,18 +276,19 @@
 		"watch-tests": "tsc -p . -w --outDir out",
 		"pretest": "npm run compile-tests && npm run compile && npm run lint",
 		"check-types": "tsc --noEmit",
-		"lint": "eslint src --ext ts",
+		"lint": "eslint src --ext ts && eslint webview-ui/src --ext ts",
 		"format": "prettier . --check",
 		"format:fix": "prettier . --write",
 		"test": "vscode-test",
 		"install:all": "npm install && cd webview-ui && npm install",
-		"start:webview": "cd webview-ui && npm run start",
+		"dev:webview": "cd webview-ui && npm run dev",
 		"build:webview": "cd webview-ui && npm run build",
 		"test:webview": "cd webview-ui && npm run test",
 		"publish:marketplace": "vsce publish && ovsx publish",
 		"publish:marketplace:prerelease": "vsce publish --pre-release && ovsx publish --pre-release",
 		"prepare": "husky",
-		"changeset": "changeset"
+		"changeset": "changeset",
+		"version-packages": "changeset version"
 	},
 	"devDependencies": {
 		"@changesets/cli": "^2.27.12",
@@ -196,51 +297,65 @@
 		"@types/mocha": "^10.0.7",
 		"@types/node": "20.x",
 		"@types/should": "^11.2.0",
+		"@types/sinon": "^17.0.4",
 		"@types/vscode": "^1.84.0",
 		"@typescript-eslint/eslint-plugin": "^7.14.1",
 		"@typescript-eslint/parser": "^7.11.0",
 		"@vscode/test-cli": "^0.0.9",
 		"@vscode/test-electron": "^2.4.0",
 		"chai": "^4.3.10",
-		"esbuild": "^0.21.5",
+		"esbuild": "^0.25.0",
 		"eslint": "^8.57.0",
 		"husky": "^9.1.7",
 		"npm-run-all": "^4.1.5",
 		"prettier": "^3.3.3",
 		"should": "^13.2.3",
+		"sinon": "^19.0.2",
 		"typescript": "^5.4.5"
 	},
 	"dependencies": {
-		"@anthropic-ai/bedrock-sdk": "^0.10.2",
-		"@anthropic-ai/sdk": "^0.26.0",
-		"@anthropic-ai/vertex-sdk": "^0.4.1",
+		"@anthropic-ai/bedrock-sdk": "^0.12.4",
+		"@anthropic-ai/sdk": "^0.37.0",
+		"@anthropic-ai/vertex-sdk": "^0.6.4",
+		"@aws-sdk/client-bedrock-runtime": "^3.758.0",
+		"@google-cloud/vertexai": "^1.9.3",
 		"@google/generative-ai": "^0.18.0",
-		"@mistralai/mistralai": "^1.3.6",
-		"@modelcontextprotocol/sdk": "^1.0.1",
+		"@mistralai/mistralai": "^1.5.0",
+		"@modelcontextprotocol/sdk": "^1.7.0",
+		"@opentelemetry/api": "^1.4.1",
+		"@opentelemetry/exporter-trace-otlp-http": "^0.39.1",
+		"@opentelemetry/resources": "^1.30.1",
+		"@opentelemetry/sdk-node": "^0.39.1",
+		"@opentelemetry/sdk-trace-node": "^1.30.1",
+		"@opentelemetry/semantic-conventions": "^1.30.0",
 		"@types/clone-deep": "^4.0.4",
 		"@types/get-folder-size": "^3.0.4",
 		"@types/pdf-parse": "^1.1.4",
 		"@types/turndown": "^5.0.5",
 		"@vscode/codicons": "^0.0.36",
-		"axios": "^1.7.4",
+		"axios": "^1.8.2",
 		"cheerio": "^1.0.0",
 		"chokidar": "^4.0.1",
 		"clone-deep": "^4.0.1",
 		"default-shell": "^2.2.0",
-		"delay": "^6.0.0",
 		"diff": "^5.2.0",
 		"execa": "^9.5.2",
 		"fast-deep-equal": "^3.1.3",
 		"firebase": "^11.2.0",
 		"get-folder-size": "^5.0.0",
 		"globby": "^14.0.2",
+		"ignore": "^7.0.3",
 		"isbinaryfile": "^5.0.2",
 		"mammoth": "^1.8.0",
 		"monaco-vscode-textmate-theme-converter": "^0.1.7",
-		"openai": "^4.61.0",
+		"ollama": "^0.5.13",
+		"open-graph-scraper": "^6.9.0",
+		"openai": "^4.83.0",
 		"os-name": "^6.0.0",
+		"p-timeout": "^6.1.4",
 		"p-wait-for": "^5.0.2",
 		"pdf-parse": "^1.1.1",
+		"posthog-node": "^4.8.1",
 		"puppeteer-chromium-resolver": "^23.0.0",
 		"puppeteer-core": "^23.4.0",
 		"serialize-error": "^11.0.3",
@@ -249,6 +364,6 @@
 		"tree-sitter-wasms": "^0.1.11",
 		"turndown": "^7.2.0",
 		"web-tree-sitter": "^0.22.6",
-		"zod": "^3.23.8"
+		"zod": "^3.24.2"
 	}
 }

src/api/index.ts

@@ -9,14 +9,23 @@ import { OllamaHandler } from "./providers/ollama"
 import { LmStudioHandler } from "./providers/lmstudio"
 import { GeminiHandler } from "./providers/gemini"
 import { OpenAiNativeHandler } from "./providers/openai-native"
-import { ApiStream } from "./transform/stream"
+import { ApiStream, ApiStreamUsageChunk } from "./transform/stream"
 import { DeepSeekHandler } from "./providers/deepseek"
+import { RequestyHandler } from "./providers/requesty"
+import { TogetherHandler } from "./providers/together"
+import { QwenHandler } from "./providers/qwen"
 import { MistralHandler } from "./providers/mistral"
 import { VsCodeLmHandler } from "./providers/vscode-lm"
+import { ClineHandler } from "./providers/cline"
+import { LiteLlmHandler } from "./providers/litellm"
+import { AskSageHandler } from "./providers/asksage"
+import { XAIHandler } from "./providers/xai"
+import { SambanovaHandler } from "./providers/sambanova"
 
 export interface ApiHandler {
 	createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream
 	getModel(): { id: string; info: ModelInfo }
+	getApiStreamUsage?(): Promise<ApiStreamUsageChunk | undefined>
 }
 
 export interface SingleCompletionHandler {
@@ -46,10 +55,26 @@ export function buildApiHandler(configuration: ApiConfiguration): ApiHandler {
 			return new OpenAiNativeHandler(options)
 		case "deepseek":
 			return new DeepSeekHandler(options)
+		case "requesty":
+			return new RequestyHandler(options)
+		case "together":
+			return new TogetherHandler(options)
+		case "qwen":
+			return new QwenHandler(options)
 		case "mistral":
 			return new MistralHandler(options)
 		case "vscode-lm":
 			return new VsCodeLmHandler(options)
+		case "cline":
+			return new ClineHandler(options)
+		case "litellm":
+			return new LiteLlmHandler(options)
+		case "asksage":
+			return new AskSageHandler(options)
+		case "xai":
+			return new XAIHandler(options)
+		case "sambanova":
+			return new SambanovaHandler(options)
 		default:
 			return new AnthropicHandler(options)
 	}

src/api/providers/anthropic.ts

@@ -1,5 +1,6 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { Stream as AnthropicStream } from "@anthropic-ai/sdk/streaming"
+import { withRetry } from "../retry"
 import { anthropicDefaultModelId, AnthropicModelId, anthropicModels, ApiHandlerOptions, ModelInfo } from "../../shared/api"
 import { ApiHandler } from "../index"
 import { ApiStream } from "../transform/stream"
@@ -16,12 +17,18 @@ export class AnthropicHandler implements ApiHandler {
 		})
 	}
 
+	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const model = this.getModel()
-		let stream: AnthropicStream<Anthropic.Beta.PromptCaching.Messages.RawPromptCachingBetaMessageStreamEvent>
+		let stream: AnthropicStream<Anthropic.RawMessageStreamEvent>
 		const modelId = model.id
+
+		let budget_tokens = this.options.thinkingBudgetTokens || 0
+		const reasoningOn = modelId.includes("3-7") && budget_tokens !== 0 ? true : false
+
 		switch (modelId) {
 			// 'latest' alias does not support cache_control
+			case "claude-3-7-sonnet-20250219":
 			case "claude-3-5-sonnet-20241022":
 			case "claude-3-5-haiku-20241022":
 			case "claude-3-opus-20240229":
@@ -35,11 +42,14 @@ export class AnthropicHandler implements ApiHandler {
 				)
 				const lastUserMsgIndex = userMsgIndices[userMsgIndices.length - 1] ?? -1
 				const secondLastMsgUserIndex = userMsgIndices[userMsgIndices.length - 2] ?? -1
-				stream = await this.client.beta.promptCaching.messages.create(
+				stream = await this.client.messages.create(
 					{
 						model: modelId,
+						thinking: reasoningOn ? { type: "enabled", budget_tokens: budget_tokens } : undefined,
 						max_tokens: model.info.maxTokens || 8192,
-						temperature: 0,
+						// "Thinking isn’t compatible with temperature, top_p, or top_k modifications as well as forced tool use."
+						// (https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#important-considerations-when-using-extended-thinking)
+						temperature: reasoningOn ? undefined : 0,
 						system: [
 							{
 								text: systemPrompt,
@@ -86,6 +96,7 @@ export class AnthropicHandler implements ApiHandler {
 						// https://github.com/anthropics/anthropic-sdk-typescript?tab=readme-ov-file#default-headers
 						// https://github.com/anthropics/anthropic-sdk-typescript/commit/c920b77fc67bd839bfeb6716ceab9d7c9bbe7393
 						switch (modelId) {
+							case "claude-3-7-sonnet-20250219":
 							case "claude-3-5-sonnet-20241022":
 							case "claude-3-5-haiku-20241022":
 							case "claude-3-opus-20240229":
@@ -144,6 +155,20 @@ export class AnthropicHandler implements ApiHandler {
 					break
 				case "content_block_start":
 					switch (chunk.content_block.type) {
+						case "thinking":
+							yield {
+								type: "reasoning",
+								reasoning: chunk.content_block.thinking || "",
+							}
+							break
+						case "redacted_thinking":
+							// Handle redacted thinking blocks - we still mark it as reasoning
+							// but note that the content is encrypted
+							yield {
+								type: "reasoning",
+								reasoning: "[Redacted thinking block]",
+							}
+							break
 						case "text":
 							// we may receive multiple text blocks, in which case just insert a line break between them
 							if (chunk.index > 0) {
@@ -161,12 +186,22 @@ export class AnthropicHandler implements ApiHandler {
 					break
 				case "content_block_delta":
 					switch (chunk.delta.type) {
+						case "thinking_delta":
+							yield {
+								type: "reasoning",
+								reasoning: chunk.delta.thinking,
+							}
+							break
 						case "text_delta":
 							yield {
 								type: "text",
 								text: chunk.delta.text,
 							}
 							break
+						case "signature_delta":
+							// We don't need to do anything with the signature in the client
+							// It's used when sending the thinking block back to the API
+							break
 					}
 					break
 				case "content_block_stop":

src/api/providers/asksage.ts

@@ -0,0 +1,115 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import { ApiHandler } from ".."
+import {
+	ApiHandlerOptions,
+	ModelInfo,
+	AskSageModelId,
+	askSageModels,
+	askSageDefaultModelId,
+	askSageDefaultURL,
+} from "../../shared/api"
+import { ApiStream } from "../transform/stream"
+
+type AskSageRequest = {
+	system_prompt: string
+	message: {
+		user: "gpt" | "me"
+		message: string
+	}[]
+	model: string
+	dataset: "none"
+}
+
+type AskSageResponse = {
+	uuid: string
+	status: number
+	// Response status
+	response: string
+	// Generated response message
+	message: string
+}
+
+export class AskSageHandler implements ApiHandler {
+	private options: ApiHandlerOptions
+	private apiUrl: string
+	private apiKey: string
+
+	constructor(options: ApiHandlerOptions) {
+		console.log("init api url", options.asksageApiUrl, askSageDefaultURL)
+		this.options = options
+		this.apiKey = options.asksageApiKey || ""
+		this.apiUrl = options.asksageApiUrl || askSageDefaultURL
+
+		if (!this.apiKey) {
+			throw new Error("AskSage API key is required")
+		}
+	}
+
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		try {
+			const model = this.getModel()
+
+			// Transform messages into AskSageRequest format
+			const formattedMessages = messages.map((msg) => {
+				const content = Array.isArray(msg.content)
+					? msg.content.map((block) => ("text" in block ? block.text : "")).join("")
+					: msg.content
+
+				return {
+					user: msg.role === "assistant" ? ("gpt" as const) : ("me" as const),
+					message: content,
+				}
+			})
+
+			const request: AskSageRequest = {
+				system_prompt: systemPrompt,
+				message: formattedMessages,
+				model: model.id,
+				dataset: "none",
+			}
+
+			// Make request to AskSage API
+			const response = await fetch(`${this.apiUrl}/query`, {
+				method: "POST",
+				headers: {
+					"Content-Type": "application/json",
+					"x-access-tokens": this.apiKey,
+				},
+				body: JSON.stringify(request),
+			})
+
+			if (!response.ok) {
+				const error = await response.text()
+				throw new Error(`AskSage API error: ${error}`)
+			}
+
+			const result = (await response.json()) as AskSageResponse
+
+			if (!result.message) {
+				throw new Error("No content in AskSage response")
+			}
+
+			// Return entire response as a single chunk since streaming is not supported
+			yield {
+				type: "text",
+				text: result.message,
+			}
+		} catch (error) {
+			if (error instanceof Error) {
+				throw new Error(`AskSage request failed: ${error.message}`)
+			}
+		}
+	}
+
+	getModel(): { id: string; info: ModelInfo } {
+		const modelId = this.options.apiModelId
+		if (modelId && modelId in askSageModels) {
+			const id = modelId as AskSageModelId
+			return { id, info: askSageModels[id] }
+		}
+		return {
+			id: askSageDefaultModelId,
+			info: askSageModels[askSageDefaultModelId],
+		}
+	}
+}

src/api/providers/bedrock.ts

@@ -1,58 +1,103 @@
 import AnthropicBedrock from "@anthropic-ai/bedrock-sdk"
 import { Anthropic } from "@anthropic-ai/sdk"
+import { withRetry } from "../retry"
 import { ApiHandler } from "../"
+import { convertToR1Format } from "../transform/r1-format"
 import { ApiHandlerOptions, bedrockDefaultModelId, BedrockModelId, bedrockModels, ModelInfo } from "../../shared/api"
+import { calculateApiCostOpenAI } from "../../utils/cost"
 import { ApiStream } from "../transform/stream"
+import { fromNodeProviderChain } from "@aws-sdk/credential-providers"
+import {
+	BedrockRuntimeClient,
+	ConversationRole,
+	ConverseStreamCommand,
+	InvokeModelWithResponseStreamCommand,
+} from "@aws-sdk/client-bedrock-runtime"
 
 // https://docs.anthropic.com/en/api/claude-on-amazon-bedrock
 export class AwsBedrockHandler implements ApiHandler {
 	private options: ApiHandlerOptions
-	private client: AnthropicBedrock
 
 	constructor(options: ApiHandlerOptions) {
 		this.options = options
-		this.client = new AnthropicBedrock({
-			// Authenticate by either providing the keys below or use the default AWS credential providers, such as
-			// using ~/.aws/credentials or the "AWS_SECRET_ACCESS_KEY" and "AWS_ACCESS_KEY_ID" environment variables.
-			...(this.options.awsAccessKey ? { awsAccessKey: this.options.awsAccessKey } : {}),
-			...(this.options.awsSecretKey ? { awsSecretKey: this.options.awsSecretKey } : {}),
-			...(this.options.awsSessionToken ? { awsSessionToken: this.options.awsSessionToken } : {}),
-
-			// awsRegion changes the aws region to which the request is made. By default, we read AWS_REGION,
-			// and if that's not present, we default to us-east-1. Note that we do not read ~/.aws/config for the region.
-			awsRegion: this.options.awsRegion,
-		})
 	}
 
+	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		// cross region inference requires prefixing the model id with the region
-		let modelId: string
-		if (this.options.awsUseCrossRegionInference) {
-			let regionPrefix = (this.options.awsRegion || "").slice(0, 3)
-			switch (regionPrefix) {
-				case "us-":
-					modelId = `us.${this.getModel().id}`
-					break
-				case "eu-":
-					modelId = `eu.${this.getModel().id}`
-					break
-				default:
-					// cross region inference is not supported in this region, falling back to default model
-					modelId = this.getModel().id
-					break
-			}
-		} else {
-			modelId = this.getModel().id
+		let modelId = await this.getModelId()
+		const model = this.getModel()
+
+		// Check if this is an Amazon Nova model
+		if (modelId.includes("amazon.nova")) {
+			yield* this.createNovaMessage(systemPrompt, messages, modelId, model)
+			return
 		}
 
-		const stream = await this.client.messages.create({
+		// Check if this is a Deepseek model
+		if (modelId.includes("deepseek")) {
+			yield* this.createDeepseekMessage(systemPrompt, messages, modelId, model)
+			return
+		}
+
+		let budget_tokens = this.options.thinkingBudgetTokens || 0
+		const reasoningOn = modelId.includes("3-7") && budget_tokens !== 0 ? true : false
+
+		// Get model info and message indices for caching
+		const userMsgIndices = messages.reduce((acc, msg, index) => (msg.role === "user" ? [...acc, index] : acc), [] as number[])
+		const lastUserMsgIndex = userMsgIndices[userMsgIndices.length - 1] ?? -1
+		const secondLastMsgUserIndex = userMsgIndices[userMsgIndices.length - 2] ?? -1
+
+		// Create anthropic client, using sessions created or renewed after this handler's
+		// initialization, and allowing for session renewal if necessary as well
+		const client = await this.getAnthropicClient()
+
+		const stream = await client.messages.create({
 			model: modelId,
-			max_tokens: this.getModel().info.maxTokens || 8192,
-			temperature: 0,
-			system: systemPrompt,
-			messages,
+			max_tokens: model.info.maxTokens || 8192,
+			thinking: reasoningOn ? { type: "enabled", budget_tokens: budget_tokens } : undefined,
+			temperature: reasoningOn ? undefined : 0,
+			system: [
+				{
+					text: systemPrompt,
+					type: "text",
+					...(this.options.awsBedrockUsePromptCache === true && {
+						cache_control: { type: "ephemeral" },
+					}),
+				},
+			],
+			messages: messages.map((message, index) => {
+				if (index === lastUserMsgIndex || index === secondLastMsgUserIndex) {
+					return {
+						...message,
+						content:
+							typeof message.content === "string"
+								? [
+										{
+											type: "text",
+											text: message.content,
+											...(this.options.awsBedrockUsePromptCache === true && {
+												cache_control: { type: "ephemeral" },
+											}),
+										},
+									]
+								: message.content.map((content, contentIndex) =>
+										contentIndex === message.content.length - 1
+											? {
+													...content,
+													...(this.options.awsBedrockUsePromptCache === true && {
+														cache_control: { type: "ephemeral" },
+													}),
+												}
+											: content,
+									),
+					}
+				}
+				return message
+			}),
 			stream: true,
 		})
+
 		for await (const chunk of stream) {
 			switch (chunk.type) {
 				case "message_start":
@@ -61,6 +106,8 @@ export class AwsBedrockHandler implements ApiHandler {
 						type: "usage",
 						inputTokens: usage.input_tokens || 0,
 						outputTokens: usage.output_tokens || 0,
+						cacheWriteTokens: usage.cache_creation_input_tokens || undefined,
+						cacheReadTokens: usage.cache_read_input_tokens || undefined,
 					}
 					break
 				case "message_delta":
@@ -70,9 +117,22 @@ export class AwsBedrockHandler implements ApiHandler {
 						outputTokens: chunk.usage.output_tokens || 0,
 					}
 					break
-
 				case "content_block_start":
 					switch (chunk.content_block.type) {
+						case "thinking":
+							yield {
+								type: "reasoning",
+								reasoning: chunk.content_block.thinking || "",
+							}
+							break
+						case "redacted_thinking":
+							// Handle redacted thinking blocks - we still mark it as reasoning
+							// but note that the content is encrypted
+							yield {
+								type: "reasoning",
+								reasoning: "[Redacted thinking block]",
+							}
+							break
 						case "text":
 							if (chunk.index > 0) {
 								yield {
@@ -89,6 +149,12 @@ export class AwsBedrockHandler implements ApiHandler {
 					break
 				case "content_block_delta":
 					switch (chunk.delta.type) {
+						case "thinking_delta":
+							yield {
+								type: "reasoning",
+								reasoning: chunk.delta.thinking,
+							}
+							break
 						case "text_delta":
 							yield {
 								type: "text",
@@ -112,4 +178,487 @@ export class AwsBedrockHandler implements ApiHandler {
 			info: bedrockModels[bedrockDefaultModelId],
 		}
 	}
+
+	// Default AWS region
+	private static readonly DEFAULT_REGION = "us-east-1"
+
+	/**
+	 * Gets AWS credentials using the provider chain
+	 * Centralizes credential retrieval logic for all AWS services
+	 */
+	private async getAwsCredentials(): Promise<{
+		accessKeyId: string
+		secretAccessKey: string
+		sessionToken?: string
+	}> {
+		// Create AWS credentials by executing an AWS provider chain
+		const providerChain = fromNodeProviderChain()
+		return await AwsBedrockHandler.withTempEnv(
+			() => {
+				AwsBedrockHandler.setEnv("AWS_REGION", this.options.awsRegion)
+				AwsBedrockHandler.setEnv("AWS_ACCESS_KEY_ID", this.options.awsAccessKey)
+				AwsBedrockHandler.setEnv("AWS_SECRET_ACCESS_KEY", this.options.awsSecretKey)
+				AwsBedrockHandler.setEnv("AWS_SESSION_TOKEN", this.options.awsSessionToken)
+				AwsBedrockHandler.setEnv("AWS_PROFILE", this.options.awsProfile)
+			},
+			() => providerChain(),
+		)
+	}
+
+	/**
+	 * Gets the AWS region to use, with fallback to default
+	 */
+	private getRegion(): string {
+		return this.options.awsRegion || AwsBedrockHandler.DEFAULT_REGION
+	}
+
+	/**
+	 * Creates a BedrockRuntimeClient with the appropriate credentials
+	 */
+	private async getBedrockClient(): Promise<BedrockRuntimeClient> {
+		const credentials = await this.getAwsCredentials()
+
+		return new BedrockRuntimeClient({
+			region: this.getRegion(),
+			credentials: {
+				accessKeyId: credentials.accessKeyId,
+				secretAccessKey: credentials.secretAccessKey,
+				sessionToken: credentials.sessionToken,
+			},
+			...(this.options.awsBedrockEndpoint && { endpoint: this.options.awsBedrockEndpoint }),
+		})
+	}
+
+	/**
+	 * Creates an AnthropicBedrock client with the appropriate credentials
+	 */
+	private async getAnthropicClient(): Promise<AnthropicBedrock> {
+		const credentials = await this.getAwsCredentials()
+
+		// Return an AnthropicBedrock client with the resolved/assumed credentials.
+		return new AnthropicBedrock({
+			awsAccessKey: credentials.accessKeyId,
+			awsSecretKey: credentials.secretAccessKey,
+			awsSessionToken: credentials.sessionToken,
+			awsRegion: this.getRegion(),
+			...(this.options.awsBedrockEndpoint && { baseURL: this.options.awsBedrockEndpoint }),
+		})
+	}
+
+	/**
+	 * Gets the appropriate model ID, accounting for cross-region inference if enabled
+	 */
+	async getModelId(): Promise<string> {
+		if (this.options.awsUseCrossRegionInference) {
+			let regionPrefix = this.getRegion().slice(0, 3)
+			switch (regionPrefix) {
+				case "us-":
+					return `us.${this.getModel().id}`
+				case "eu-":
+					return `eu.${this.getModel().id}`
+				case "ap-":
+					return `apac.${this.getModel().id}`
+				default:
+					// cross region inference is not supported in this region, falling back to default model
+					return this.getModel().id
+			}
+		}
+		return this.getModel().id
+	}
+
+	private static async withTempEnv<R>(updateEnv: () => void, fn: () => Promise<R>): Promise<R> {
+		const previousEnv = { ...process.env }
+
+		try {
+			updateEnv()
+			return await fn()
+		} finally {
+			process.env = previousEnv
+		}
+	}
+
+	private static setEnv(key: string, value: string | undefined) {
+		if (key !== "" && value !== undefined) {
+			process.env[key] = value
+		}
+	}
+
+	/**
+	 * Creates a message using the Deepseek R1 model through AWS Bedrock
+	 */
+	private async *createDeepseekMessage(
+		systemPrompt: string,
+		messages: Anthropic.Messages.MessageParam[],
+		modelId: string,
+		model: { id: BedrockModelId; info: ModelInfo },
+	): ApiStream {
+		// Get Bedrock client with proper credentials
+		const client = await this.getBedrockClient()
+
+		// Format prompt for DeepSeek R1 according to documentation
+		const formattedPrompt = this.formatDeepseekR1Prompt(systemPrompt, messages)
+
+		// Prepare the request based on DeepSeek R1's expected format
+		const command = new InvokeModelWithResponseStreamCommand({
+			modelId: modelId,
+			contentType: "application/json",
+			accept: "application/json",
+			body: JSON.stringify({
+				prompt: formattedPrompt,
+				max_tokens: model.info.maxTokens || 8000,
+				temperature: 0,
+			}),
+		})
+
+		// Track token usage
+		const inputTokenEstimate = this.estimateInputTokens(systemPrompt, messages)
+		let outputTokens = 0
+		let isFirstChunk = true
+		let accumulatedTokens = 0
+		const TOKEN_REPORT_THRESHOLD = 100 // Report usage after accumulating this many tokens
+
+		// Execute the streaming request
+		const response = await client.send(command)
+
+		if (response.body) {
+			for await (const chunk of response.body) {
+				if (chunk.chunk?.bytes) {
+					try {
+						// Parse the response chunk
+						const decodedChunk = new TextDecoder().decode(chunk.chunk.bytes)
+						const parsedChunk = JSON.parse(decodedChunk)
+
+						// Report usage on first chunk
+						if (isFirstChunk) {
+							isFirstChunk = false
+							const totalCost = calculateApiCostOpenAI(model.info, inputTokenEstimate, 0, 0, 0)
+							yield {
+								type: "usage",
+								inputTokens: inputTokenEstimate,
+								outputTokens: 0,
+								totalCost: totalCost,
+							}
+						}
+
+						// Handle DeepSeek R1 response format
+						if (parsedChunk.choices && parsedChunk.choices.length > 0) {
+							// For non-streaming response (full response)
+							const text = parsedChunk.choices[0].text
+							if (text) {
+								const chunkTokens = this.estimateTokenCount(text)
+								outputTokens += chunkTokens
+								accumulatedTokens += chunkTokens
+
+								yield {
+									type: "text",
+									text: text,
+								}
+
+								if (accumulatedTokens >= TOKEN_REPORT_THRESHOLD) {
+									const totalCost = calculateApiCostOpenAI(model.info, 0, accumulatedTokens, 0, 0)
+									yield {
+										type: "usage",
+										inputTokens: 0,
+										outputTokens: accumulatedTokens,
+										totalCost: totalCost,
+									}
+									accumulatedTokens = 0
+								}
+							}
+						} else if (parsedChunk.delta?.text) {
+							// For streaming response (delta updates)
+							const text = parsedChunk.delta.text
+							const chunkTokens = this.estimateTokenCount(text)
+							outputTokens += chunkTokens
+							accumulatedTokens += chunkTokens
+
+							yield {
+								type: "text",
+								text: text,
+							}
+							// Report aggregated token usage only when threshold is reached
+							if (accumulatedTokens >= TOKEN_REPORT_THRESHOLD) {
+								const totalCost = calculateApiCostOpenAI(model.info, 0, accumulatedTokens, 0, 0)
+								yield {
+									type: "usage",
+									inputTokens: 0,
+									outputTokens: accumulatedTokens,
+									totalCost: totalCost,
+								}
+								accumulatedTokens = 0
+							}
+						}
+					} catch (error) {
+						console.error("Error parsing Deepseek response chunk:", error)
+						// Propagate the error by yielding a text response with error information
+						yield {
+							type: "text",
+							text: `[ERROR] Failed to parse Deepseek response: ${error instanceof Error ? error.message : String(error)}`,
+						}
+					}
+				}
+			}
+
+			// Report any remaining accumulated tokens at the end of the stream
+			if (accumulatedTokens > 0) {
+				const totalCost = calculateApiCostOpenAI(model.info, 0, accumulatedTokens, 0, 0)
+				yield {
+					type: "usage",
+					inputTokens: 0,
+					outputTokens: accumulatedTokens,
+					totalCost: totalCost,
+				}
+			}
+
+			// Add final total cost calculation that includes both input and output tokens
+			const finalTotalCost = calculateApiCostOpenAI(model.info, inputTokenEstimate, outputTokens, 0, 0)
+			yield {
+				type: "usage",
+				inputTokens: inputTokenEstimate,
+				outputTokens: outputTokens,
+				totalCost: finalTotalCost,
+			}
+		}
+	}
+
+	/**
+	 * Formats prompt for DeepSeek R1 model according to documentation
+	 * First uses convertToR1Format to merge consecutive messages with the same role,
+	 * then converts to the string format that DeepSeek R1 expects
+	 */
+	private formatDeepseekR1Prompt(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): string {
+		// First use convertToR1Format to merge consecutive messages with the same role
+		const r1Messages = convertToR1Format([{ role: "user", content: systemPrompt }, ...messages])
+
+		// Then convert to the special string format expected by DeepSeek R1
+		let combinedContent = ""
+
+		for (const message of r1Messages) {
+			let content = ""
+
+			if (message.content) {
+				if (typeof message.content === "string") {
+					content = message.content
+				} else {
+					// Extract text content from message parts
+					content = message.content
+						.filter((part) => part.type === "text")
+						.map((part) => part.text)
+						.join("\n")
+				}
+			}
+
+			combinedContent += message.role === "user" ? "User: " + content + "\n" : "Assistant: " + content + "\n"
+		}
+
+		// Format according to DeepSeek R1's expected prompt format
+		return `<｜begin▁of▁sentence｜><｜User｜>${combinedContent}<｜Assistant｜><think>\n`
+	}
+
+	/**
+	 * Estimates token count based on text length (approximate)
+	 * Note: This is a rough estimation, as the actual token count depends on the tokenizer
+	 */
+	private estimateInputTokens(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): number {
+		// For Deepseek R1, we estimate the token count of the formatted prompt
+		// The formatted prompt includes special tokens and consistent formatting
+		const formattedPrompt = this.formatDeepseekR1Prompt(systemPrompt, messages)
+		return Math.ceil(formattedPrompt.length / 4)
+	}
+
+	/**
+	 * Estimates token count for a text string
+	 */
+	private estimateTokenCount(text: string): number {
+		// Approximate 4 characters per token
+		return Math.ceil(text.length / 4)
+	}
+
+	/**
+	 * Creates a message using Amazon Nova models through AWS Bedrock
+	 * Implements support for Nova Micro, Nova Lite, and Nova Pro models
+	 */
+	private async *createNovaMessage(
+		systemPrompt: string,
+		messages: Anthropic.Messages.MessageParam[],
+		modelId: string,
+		model: { id: BedrockModelId; info: ModelInfo },
+	): ApiStream {
+		// Get Bedrock client with proper credentials
+		const client = await this.getBedrockClient()
+
+		// Format messages for Nova model
+		const formattedMessages = this.formatNovaMessages(messages)
+
+		// Prepare request for Nova model
+		const command = new ConverseStreamCommand({
+			modelId: modelId,
+			messages: formattedMessages,
+			system: systemPrompt ? [{ text: systemPrompt }] : undefined,
+			inferenceConfig: {
+				maxTokens: model.info.maxTokens || 5000,
+				temperature: 0,
+				// topP: 0.9, // Alternative: use topP instead of temperature
+			},
+		})
+
+		// Execute the streaming request and handle response
+		try {
+			const response = await client.send(command)
+
+			if (response.stream) {
+				let hasReportedInputTokens = false
+
+				for await (const chunk of response.stream) {
+					// Handle metadata events with token usage information
+					if (chunk.metadata?.usage) {
+						// Report complete token usage from the model itself
+						const inputTokens = chunk.metadata.usage.inputTokens || 0
+						const outputTokens = chunk.metadata.usage.outputTokens || 0
+						yield {
+							type: "usage",
+							inputTokens,
+							outputTokens,
+							totalCost: calculateApiCostOpenAI(model.info, inputTokens, outputTokens, 0, 0),
+						}
+						hasReportedInputTokens = true
+					}
+
+					// Handle content delta (text generation)
+					if (chunk.contentBlockDelta?.delta?.text) {
+						yield {
+							type: "text",
+							text: chunk.contentBlockDelta.delta.text,
+						}
+					}
+
+					// Handle reasoning content if present
+					if (chunk.contentBlockDelta?.delta?.reasoningContent?.text) {
+						yield {
+							type: "reasoning",
+							reasoning: chunk.contentBlockDelta.delta.reasoningContent.text,
+						}
+					}
+
+					// Handle errors
+					if (chunk.internalServerException) {
+						yield {
+							type: "text",
+							text: `[ERROR] Internal server error: ${chunk.internalServerException.message}`,
+						}
+					} else if (chunk.modelStreamErrorException) {
+						yield {
+							type: "text",
+							text: `[ERROR] Model stream error: ${chunk.modelStreamErrorException.message}`,
+						}
+					} else if (chunk.validationException) {
+						yield {
+							type: "text",
+							text: `[ERROR] Validation error: ${chunk.validationException.message}`,
+						}
+					} else if (chunk.throttlingException) {
+						yield {
+							type: "text",
+							text: `[ERROR] Throttling error: ${chunk.throttlingException.message}`,
+						}
+					} else if (chunk.serviceUnavailableException) {
+						yield {
+							type: "text",
+							text: `[ERROR] Service unavailable: ${chunk.serviceUnavailableException.message}`,
+						}
+					}
+				}
+			}
+		} catch (error) {
+			console.error("Error processing Nova model response:", error)
+			yield {
+				type: "text",
+				text: `[ERROR] Failed to process Nova response: ${error instanceof Error ? error.message : String(error)}`,
+			}
+		}
+	}
+
+	/**
+	 * Formats messages for Amazon Nova models according to the SDK specification
+	 */
+	private formatNovaMessages(messages: Anthropic.Messages.MessageParam[]): { role: ConversationRole; content: any[] }[] {
+		return messages.map((message) => {
+			// Determine role (user or assistant)
+			const role = message.role === "user" ? ConversationRole.USER : ConversationRole.ASSISTANT
+
+			// Process content based on type
+			let content: any[] = []
+
+			if (typeof message.content === "string") {
+				// Simple text content
+				content = [{ text: message.content }]
+			} else if (Array.isArray(message.content)) {
+				// Convert Anthropic content format to Nova content format
+				content = message.content
+					.map((item) => {
+						// Text content
+						if (item.type === "text") {
+							return { text: item.text }
+						}
+
+						// Image content
+						if (item.type === "image") {
+							// Handle different image source formats
+							let imageData: Uint8Array
+							let format = "jpeg" // default format
+
+							// Extract format from media_type if available
+							if (item.source.media_type) {
+								// Extract format from media_type (e.g., "image/jpeg" -> "jpeg")
+								const formatMatch = item.source.media_type.match(/image\/(\w+)/)
+								if (formatMatch && formatMatch[1]) {
+									format = formatMatch[1]
+									// Ensure format is one of the allowed values
+									if (!["png", "jpeg", "gif", "webp"].includes(format)) {
+										format = "jpeg" // Default to jpeg if not supported
+									}
+								}
+							}
+
+							// Get image data
+							try {
+								if (typeof item.source.data === "string") {
+									// Handle base64 encoded data
+									const base64Data = item.source.data.replace(/^data:image\/\w+;base64,/, "")
+									imageData = new Uint8Array(Buffer.from(base64Data, "base64"))
+								} else if (item.source.data && typeof item.source.data === "object") {
+									// Try to convert to Uint8Array
+									imageData = new Uint8Array(Buffer.from(item.source.data as any))
+								} else {
+									console.error("Unsupported image data format")
+									return null // Skip this item if format is not supported
+								}
+							} catch (error) {
+								console.error("Could not convert image data to Uint8Array:", error)
+								return null // Skip this item if conversion fails
+							}
+
+							return {
+								image: {
+									format,
+									source: {
+										bytes: imageData,
+									},
+								},
+							}
+						}
+
+						// Return null for unsupported content types
+						return null
+					})
+					.filter(Boolean) // Remove any null items
+			}
+
+			// Return formatted message
+			return {
+				role,
+				content,
+			}
+		})
+	}
 }

src/api/providers/cline.ts

@@ -0,0 +1,123 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+import { ApiHandler } from "../"
+import { ApiHandlerOptions, ModelInfo, openRouterDefaultModelId, openRouterDefaultModelInfo } from "../../shared/api"
+import { createOpenRouterStream } from "../transform/openrouter-stream"
+import { ApiStream, ApiStreamUsageChunk } from "../transform/stream"
+import axios from "axios"
+import { OpenRouterErrorResponse } from "./types"
+
+export class ClineHandler implements ApiHandler {
+	private options: ApiHandlerOptions
+	private client: OpenAI
+	lastGenerationId?: string
+
+	constructor(options: ApiHandlerOptions) {
+		this.options = options
+		this.client = new OpenAI({
+			baseURL: "https://api.cline.bot/v1",
+			apiKey: this.options.clineApiKey || "",
+		})
+	}
+
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		this.lastGenerationId = undefined
+
+		const stream = await createOpenRouterStream(
+			this.client,
+			systemPrompt,
+			messages,
+			this.getModel(),
+			this.options.o3MiniReasoningEffort,
+			this.options.thinkingBudgetTokens,
+			this.options.openRouterProviderSorting,
+		)
+
+		let didOutputUsage: boolean = false
+
+		for await (const chunk of stream) {
+			// openrouter returns an error object instead of the openai sdk throwing an error
+			if ("error" in chunk) {
+				const error = chunk.error as OpenRouterErrorResponse["error"]
+				console.error(`Cline API Error: ${error?.code} - ${error?.message}`)
+				// Include metadata in the error message if available
+				const metadataStr = error.metadata ? `\nMetadata: ${JSON.stringify(error.metadata, null, 2)}` : ""
+				throw new Error(`Cline API Error ${error.code}: ${error.message}${metadataStr}`)
+			}
+
+			if (!this.lastGenerationId && chunk.id) {
+				this.lastGenerationId = chunk.id
+			}
+
+			const delta = chunk.choices[0]?.delta
+			if (delta?.content) {
+				yield {
+					type: "text",
+					text: delta.content,
+				}
+			}
+
+			// Reasoning tokens are returned separately from the content
+			if ("reasoning" in delta && delta.reasoning) {
+				yield {
+					type: "reasoning",
+					// @ts-ignore-next-line
+					reasoning: delta.reasoning,
+				}
+			}
+
+			if (!didOutputUsage && chunk.usage) {
+				yield {
+					type: "usage",
+					inputTokens: chunk.usage.prompt_tokens || 0,
+					outputTokens: chunk.usage.completion_tokens || 0,
+					// @ts-ignore-next-line
+					totalCost: chunk.usage.cost || 0,
+				}
+				didOutputUsage = true
+			}
+		}
+
+		// Fallback to generation endpoint if usage chunk not returned
+		if (!didOutputUsage) {
+			const apiStreamUsage = await this.getApiStreamUsage()
+			if (apiStreamUsage) {
+				yield apiStreamUsage
+			}
+		}
+	}
+
+	async getApiStreamUsage(): Promise<ApiStreamUsageChunk | undefined> {
+		if (this.lastGenerationId) {
+			try {
+				const response = await axios.get(`https://api.cline.bot/v1/generation?id=${this.lastGenerationId}`, {
+					headers: {
+						Authorization: `Bearer ${this.options.clineApiKey}`,
+					},
+					timeout: 15_000, // this request hangs sometimes
+				})
+
+				const generation = response.data
+				return {
+					type: "usage",
+					inputTokens: generation?.native_tokens_prompt || 0,
+					outputTokens: generation?.native_tokens_completion || 0,
+					totalCost: generation?.total_cost || 0,
+				}
+			} catch (error) {
+				// ignore if fails
+				console.error("Error fetching cline generation details:", error)
+			}
+		}
+		return undefined
+	}
+
+	getModel(): { id: string; info: ModelInfo } {
+		const modelId = this.options.openRouterModelId
+		const modelInfo = this.options.openRouterModelInfo
+		if (modelId && modelInfo) {
+			return { id: modelId, info: modelInfo }
+		}
+		return { id: openRouterDefaultModelId, info: openRouterDefaultModelInfo }
+	}
+}

src/api/providers/deepseek.ts

@@ -1,9 +1,12 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import OpenAI from "openai"
+import { withRetry } from "../retry"
 import { ApiHandler } from "../"
 import { ApiHandlerOptions, DeepSeekModelId, ModelInfo, deepSeekDefaultModelId, deepSeekModels } from "../../shared/api"
+import { calculateApiCostOpenAI } from "../../utils/cost"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
+import { convertToR1Format } from "../transform/r1-format"
 
 export class DeepSeekHandler implements ApiHandler {
 	private options: ApiHandlerOptions
@@ -17,12 +20,56 @@ export class DeepSeekHandler implements ApiHandler {
 		})
 	}
 
+	private async *yieldUsage(info: ModelInfo, usage: OpenAI.Completions.CompletionUsage | undefined): ApiStream {
+		// Deepseek reports total input AND cache reads/writes,
+		// see context caching: https://api-docs.deepseek.com/guides/kv_cache)
+		// where the input tokens is the sum of the cache hits/misses, just like OpenAI.
+		// This affects:
+		// 1) context management truncation algorithm, and
+		// 2) cost calculation
+
+		// Deepseek usage includes extra fields.
+		// Safely cast the prompt token details section to the appropriate structure.
+		interface DeepSeekUsage extends OpenAI.CompletionUsage {
+			prompt_cache_hit_tokens?: number
+			prompt_cache_miss_tokens?: number
+		}
+		const deepUsage = usage as DeepSeekUsage
+
+		const inputTokens = deepUsage?.prompt_tokens || 0
+		const outputTokens = deepUsage?.completion_tokens || 0
+		const cacheReadTokens = deepUsage?.prompt_cache_hit_tokens || 0
+		const cacheWriteTokens = deepUsage?.prompt_cache_miss_tokens || 0
+		const totalCost = calculateApiCostOpenAI(info, inputTokens, outputTokens, cacheWriteTokens, cacheReadTokens)
+		yield {
+			type: "usage",
+			inputTokens: inputTokens,
+			outputTokens: outputTokens,
+			cacheWriteTokens: cacheWriteTokens,
+			cacheReadTokens: cacheReadTokens,
+			totalCost: totalCost,
+		}
+	}
+
+	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const model = this.getModel()
+
+		const isDeepseekReasoner = model.id.includes("deepseek-reasoner")
+
+		let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
+			{ role: "system", content: systemPrompt },
+			...convertToOpenAiMessages(messages),
+		]
+
+		if (isDeepseekReasoner) {
+			openAiMessages = convertToR1Format([{ role: "user", content: systemPrompt }, ...messages])
+		}
+
 		const stream = await this.client.chat.completions.create({
 			model: model.id,
 			max_completion_tokens: model.info.maxTokens,
-			messages: [{ role: "system", content: systemPrompt }, ...convertToOpenAiMessages(messages)],
+			messages: openAiMessages,
 			stream: true,
 			stream_options: { include_usage: true },
 			// Only set temperature for non-reasoner models
@@ -38,17 +85,16 @@ export class DeepSeekHandler implements ApiHandler {
 				}
 			}
 
-			if (chunk.usage) {
+			if (delta && "reasoning_content" in delta && delta.reasoning_content) {
 				yield {
-					type: "usage",
-					inputTokens: chunk.usage.prompt_tokens || 0, // (deepseek reports total input AND cache reads/writes, see context caching: https://api-docs.deepseek.com/guides/kv_cache) where the input tokens is the sum of the cache hits/misses, while anthropic reports them as separate tokens. This is important to know for 1) context management truncation algorithm, and 2) cost calculation (NOTE: we report both input and cache stats but for now set input price to 0 since all the cost calculation will be done using cache hits/misses)
-					outputTokens: chunk.usage.completion_tokens || 0,
-					// @ts-ignore-next-line
-					cacheReadTokens: chunk.usage.prompt_cache_hit_tokens || 0,
-					// @ts-ignore-next-line
-					cacheWriteTokens: chunk.usage.prompt_cache_miss_tokens || 0,
+					type: "reasoning",
+					reasoning: (delta.reasoning_content as string | undefined) || "",
 				}
 			}
+
+			if (chunk.usage) {
+				yield* this.yieldUsage(model.info, chunk.usage)
+			}
 		}
 	}
 

src/api/providers/gemini.ts

@@ -1,5 +1,6 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { GoogleGenerativeAI } from "@google/generative-ai"
+import { withRetry } from "../retry"
 import { ApiHandler } from "../"
 import { ApiHandlerOptions, geminiDefaultModelId, GeminiModelId, geminiModels, ModelInfo } from "../../shared/api"
 import { convertAnthropicMessageToGemini } from "../transform/gemini-format"
@@ -17,6 +18,7 @@ export class GeminiHandler implements ApiHandler {
 		this.client = new GoogleGenerativeAI(options.geminiApiKey)
 	}
 
+	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const model = this.client.getGenerativeModel({
 			model: this.getModel().id,

src/api/providers/litellm.ts

@@ -0,0 +1,67 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+import { ApiHandlerOptions, liteLlmDefaultModelId, liteLlmModelInfoSaneDefaults } from "../../shared/api"
+import { ApiHandler } from ".."
+import { ApiStream } from "../transform/stream"
+import { convertToOpenAiMessages } from "../transform/openai-format"
+
+export class LiteLlmHandler implements ApiHandler {
+	private options: ApiHandlerOptions
+	private client: OpenAI
+
+	constructor(options: ApiHandlerOptions) {
+		this.options = options
+		this.client = new OpenAI({
+			baseURL: this.options.liteLlmBaseUrl || "http://localhost:4000",
+			apiKey: this.options.liteLlmApiKey || "noop",
+		})
+	}
+
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		const formattedMessages = convertToOpenAiMessages(messages)
+		const systemMessage: OpenAI.Chat.ChatCompletionSystemMessageParam = {
+			role: "system",
+			content: systemPrompt,
+		}
+		const modelId = this.options.liteLlmModelId || liteLlmDefaultModelId
+		const isOminiModel = modelId.includes("o1-mini") || modelId.includes("o3-mini")
+		let temperature: number | undefined = 0
+
+		if (isOminiModel) {
+			temperature = undefined // does not support temperature
+		}
+
+		const stream = await this.client.chat.completions.create({
+			model: this.options.liteLlmModelId || liteLlmDefaultModelId,
+			messages: [systemMessage, ...formattedMessages],
+			temperature,
+			stream: true,
+			stream_options: { include_usage: true },
+		})
+
+		for await (const chunk of stream) {
+			const delta = chunk.choices[0]?.delta
+			if (delta?.content) {
+				yield {
+					type: "text",
+					text: delta.content,
+				}
+			}
+
+			if (chunk.usage) {
+				yield {
+					type: "usage",
+					inputTokens: chunk.usage.prompt_tokens || 0,
+					outputTokens: chunk.usage.completion_tokens || 0,
+				}
+			}
+		}
+	}
+
+	getModel() {
+		return {
+			id: this.options.liteLlmModelId || liteLlmDefaultModelId,
+			info: liteLlmModelInfoSaneDefaults,
+		}
+	}
+}

src/api/providers/mistral.ts

@@ -1,5 +1,6 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { Mistral } from "@mistralai/mistralai"
+import { withRetry } from "../retry"
 import { ApiHandler } from "../"
 import {
 	ApiHandlerOptions,
@@ -21,11 +22,11 @@ export class MistralHandler implements ApiHandler {
 	constructor(options: ApiHandlerOptions) {
 		this.options = options
 		this.client = new Mistral({
-			serverURL: "https://codestral.mistral.ai",
 			apiKey: this.options.mistralApiKey,
 		})
 	}
 
+	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const stream = await this.client.chat.stream({
 			model: this.getModel().id,

src/api/providers/ollama.ts

@@ -1,40 +1,35 @@
 import { Anthropic } from "@anthropic-ai/sdk"
-import OpenAI from "openai"
+import { Message, Ollama } from "ollama"
 import { ApiHandler } from "../"
 import { ApiHandlerOptions, ModelInfo, openAiModelInfoSaneDefaults } from "../../shared/api"
-import { convertToOpenAiMessages } from "../transform/openai-format"
+import { convertToOllamaMessages } from "../transform/ollama-format"
 import { ApiStream } from "../transform/stream"
 
 export class OllamaHandler implements ApiHandler {
 	private options: ApiHandlerOptions
-	private client: OpenAI
+	private client: Ollama
 
 	constructor(options: ApiHandlerOptions) {
 		this.options = options
-		this.client = new OpenAI({
-			baseURL: (this.options.ollamaBaseUrl || "http://localhost:11434") + "/v1",
-			apiKey: "ollama",
-		})
+		this.client = new Ollama({ host: this.options.ollamaBaseUrl || "http://localhost:11434" })
 	}
 
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
-		const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
-			{ role: "system", content: systemPrompt },
-			...convertToOpenAiMessages(messages),
-		]
+		const ollamaMessages: Message[] = [{ role: "system", content: systemPrompt }, ...convertToOllamaMessages(messages)]
 
-		const stream = await this.client.chat.completions.create({
+		const stream = await this.client.chat({
 			model: this.getModel().id,
-			messages: openAiMessages,
-			temperature: 0,
+			messages: ollamaMessages,
 			stream: true,
+			options: {
+				num_ctx: Number(this.options.ollamaApiOptionsCtxNum) || 32768,
+			},
 		})
 		for await (const chunk of stream) {
-			const delta = chunk.choices[0]?.delta
-			if (delta?.content) {
+			if (typeof chunk.message.content === "string") {
 				yield {
 					type: "text",
-					text: delta.content,
+					text: chunk.message.content,
 				}
 			}
 		}

src/api/providers/openai-native.ts

@@ -1,5 +1,6 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import OpenAI from "openai"
+import { withRetry } from "../retry"
 import { ApiHandler } from "../"
 import {
 	ApiHandlerOptions,
@@ -9,7 +10,9 @@ import {
 	openAiNativeModels,
 } from "../../shared/api"
 import { convertToOpenAiMessages } from "../transform/openai-format"
+import { calculateApiCostOpenAI } from "../../utils/cost"
 import { ApiStream } from "../transform/stream"
+import { ChatCompletionReasoningEffort } from "openai/resources/chat/completions.mjs"
 
 export class OpenAiNativeHandler implements ApiHandler {
 	private options: ApiHandlerOptions
@@ -22,30 +25,70 @@ export class OpenAiNativeHandler implements ApiHandler {
 		})
 	}
 
+	private async *yieldUsage(info: ModelInfo, usage: OpenAI.Completions.CompletionUsage | undefined): ApiStream {
+		const inputTokens = usage?.prompt_tokens || 0
+		const outputTokens = usage?.completion_tokens || 0
+		const cacheReadTokens = usage?.prompt_tokens_details?.cached_tokens || 0
+		const cacheWriteTokens = 0
+		const totalCost = calculateApiCostOpenAI(info, inputTokens, outputTokens, cacheWriteTokens, cacheReadTokens)
+		yield {
+			type: "usage",
+			inputTokens: inputTokens,
+			outputTokens: outputTokens,
+			cacheWriteTokens: cacheWriteTokens,
+			cacheReadTokens: cacheReadTokens,
+			totalCost: totalCost,
+		}
+	}
+
+	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
-		switch (this.getModel().id) {
+		const model = this.getModel()
+
+		switch (model.id) {
 			case "o1":
 			case "o1-preview":
 			case "o1-mini": {
 				// o1 doesnt support streaming, non-1 temp, or system prompt
 				const response = await this.client.chat.completions.create({
-					model: this.getModel().id,
+					model: model.id,
 					messages: [{ role: "user", content: systemPrompt }, ...convertToOpenAiMessages(messages)],
 				})
 				yield {
 					type: "text",
 					text: response.choices[0]?.message.content || "",
 				}
-				yield {
-					type: "usage",
-					inputTokens: response.usage?.prompt_tokens || 0,
-					outputTokens: response.usage?.completion_tokens || 0,
+
+				yield* this.yieldUsage(model.info, response.usage)
+
+				break
+			}
+			case "o3-mini": {
+				const stream = await this.client.chat.completions.create({
+					model: model.id,
+					messages: [{ role: "developer", content: systemPrompt }, ...convertToOpenAiMessages(messages)],
+					stream: true,
+					stream_options: { include_usage: true },
+					reasoning_effort: (this.options.o3MiniReasoningEffort as ChatCompletionReasoningEffort) || "medium",
+				})
+				for await (const chunk of stream) {
+					const delta = chunk.choices[0]?.delta
+					if (delta?.content) {
+						yield {
+							type: "text",
+							text: delta.content,
+						}
+					}
+					if (chunk.usage) {
+						// Only last chunk contains usage
+						yield* this.yieldUsage(model.info, chunk.usage)
+					}
 				}
 				break
 			}
 			default: {
 				const stream = await this.client.chat.completions.create({
-					model: this.getModel().id,
+					model: model.id,
 					// max_completion_tokens: this.getModel().info.maxTokens,
 					temperature: 0,
 					messages: [{ role: "system", content: systemPrompt }, ...convertToOpenAiMessages(messages)],
@@ -61,14 +104,9 @@ export class OpenAiNativeHandler implements ApiHandler {
 							text: delta.content,
 						}
 					}
-
-					// contains a null value except for the last chunk which contains the token usage statistics for the entire request
 					if (chunk.usage) {
-						yield {
-							type: "usage",
-							inputTokens: chunk.usage.prompt_tokens || 0,
-							outputTokens: chunk.usage.completion_tokens || 0,
-						}
+						// Only last chunk contains usage
+						yield* this.yieldUsage(model.info, chunk.usage)
 					}
 				}
 			}

src/api/providers/openai.ts

@@ -1,9 +1,12 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import OpenAI, { AzureOpenAI } from "openai"
+import { withRetry } from "../retry"
 import { ApiHandlerOptions, azureOpenAiDefaultApiVersion, ModelInfo, openAiModelInfoSaneDefaults } from "../../shared/api"
 import { ApiHandler } from "../index"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
+import { convertToR1Format } from "../transform/r1-format"
+import { ChatCompletionReasoningEffort } from "openai/resources/chat/completions.mjs"
 
 export class OpenAiHandler implements ApiHandler {
 	private options: ApiHandlerOptions
@@ -12,7 +15,8 @@ export class OpenAiHandler implements ApiHandler {
 	constructor(options: ApiHandlerOptions) {
 		this.options = options
 		// Azure API shape slightly differs from the core API shape: https://github.com/openai/openai-node?tab=readme-ov-file#microsoft-azure-openai
-		if (this.options.openAiBaseUrl?.toLowerCase().includes("azure.com")) {
+		// Use azureApiVersion to determine if this is an Azure endpoint, since the URL may not always contain 'azure.com'
+		if (this.options.azureApiVersion || this.options.openAiBaseUrl?.toLowerCase().includes("azure.com")) {
 			this.client = new AzureOpenAI({
 				baseURL: this.options.openAiBaseUrl,
 				apiKey: this.options.openAiApiKey,
@@ -26,15 +30,34 @@ export class OpenAiHandler implements ApiHandler {
 		}
 	}
 
+	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
-		const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
+		const modelId = this.options.openAiModelId ?? ""
+		const isDeepseekReasoner = modelId.includes("deepseek-reasoner")
+		const isO3Mini = modelId.includes("o3-mini")
+
+		let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
 			{ role: "system", content: systemPrompt },
 			...convertToOpenAiMessages(messages),
 		]
+		let temperature: number | undefined = this.options.openAiModelInfo?.temperature ?? openAiModelInfoSaneDefaults.temperature
+		let reasoningEffort: ChatCompletionReasoningEffort | undefined = undefined
+
+		if (isDeepseekReasoner) {
+			openAiMessages = convertToR1Format([{ role: "user", content: systemPrompt }, ...messages])
+		}
+
+		if (isO3Mini) {
+			openAiMessages = [{ role: "developer", content: systemPrompt }, ...convertToOpenAiMessages(messages)]
+			temperature = undefined // does not support temperature
+			reasoningEffort = (this.options.o3MiniReasoningEffort as ChatCompletionReasoningEffort) || "medium"
+		}
+
 		const stream = await this.client.chat.completions.create({
-			model: this.options.openAiModelId ?? "",
+			model: modelId,
 			messages: openAiMessages,
-			temperature: 0,
+			temperature,
+			reasoning_effort: reasoningEffort,
 			stream: true,
 			stream_options: { include_usage: true },
 		})
@@ -46,6 +69,14 @@ export class OpenAiHandler implements ApiHandler {
 					text: delta.content,
 				}
 			}
+
+			if (delta && "reasoning_content" in delta && delta.reasoning_content) {
+				yield {
+					type: "reasoning",
+					reasoning: (delta.reasoning_content as string | undefined) || "",
+				}
+			}
+
 			if (chunk.usage) {
 				yield {
 					type: "usage",
@@ -59,7 +90,7 @@ export class OpenAiHandler implements ApiHandler {
 	getModel(): { id: string; info: ModelInfo } {
 		return {
 			id: this.options.openAiModelId ?? "",
-			info: openAiModelInfoSaneDefaults,
+			info: this.options.openAiModelInfo ?? openAiModelInfoSaneDefaults,
 		}
 	}
 }

src/api/providers/openrouter.ts

@@ -1,15 +1,18 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import axios from "axios"
+import { setTimeout as setTimeoutPromise } from "node:timers/promises"
 import OpenAI from "openai"
 import { ApiHandler } from "../"
 import { ApiHandlerOptions, ModelInfo, openRouterDefaultModelId, openRouterDefaultModelInfo } from "../../shared/api"
-import { convertToOpenAiMessages } from "../transform/openai-format"
-import { ApiStream } from "../transform/stream"
-import delay from "delay"
+import { withRetry } from "../retry"
+import { createOpenRouterStream } from "../transform/openrouter-stream"
+import { ApiStream, ApiStreamUsageChunk } from "../transform/stream"
+import { OpenRouterErrorResponse } from "./types"
 
 export class OpenRouterHandler implements ApiHandler {
 	private options: ApiHandlerOptions
 	private client: OpenAI
+	lastGenerationId?: string
 
 	constructor(options: ApiHandlerOptions) {
 		this.options = options
@@ -23,110 +26,34 @@ export class OpenRouterHandler implements ApiHandler {
 		})
 	}
 
+	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
-		const model = this.getModel()
+		this.lastGenerationId = undefined
 
-		// Convert Anthropic messages to OpenAI format
-		const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
-			{ role: "system", content: systemPrompt },
-			...convertToOpenAiMessages(messages),
-		]
+		const stream = await createOpenRouterStream(
+			this.client,
+			systemPrompt,
+			messages,
+			this.getModel(),
+			this.options.o3MiniReasoningEffort,
+			this.options.thinkingBudgetTokens,
+			this.options.openRouterProviderSorting,
+		)
 
-		// prompt caching: https://openrouter.ai/docs/prompt-caching
-		// this is specifically for claude models (some models may 'support prompt caching' automatically without this)
-		switch (model.id) {
-			case "anthropic/claude-3.5-sonnet":
-			case "anthropic/claude-3.5-sonnet:beta":
-			case "anthropic/claude-3.5-sonnet-20240620":
-			case "anthropic/claude-3.5-sonnet-20240620:beta":
-			case "anthropic/claude-3-5-haiku":
-			case "anthropic/claude-3-5-haiku:beta":
-			case "anthropic/claude-3-5-haiku-20241022":
-			case "anthropic/claude-3-5-haiku-20241022:beta":
-			case "anthropic/claude-3-haiku":
-			case "anthropic/claude-3-haiku:beta":
-			case "anthropic/claude-3-opus":
-			case "anthropic/claude-3-opus:beta":
-				openAiMessages[0] = {
-					role: "system",
-					content: [
-						{
-							type: "text",
-							text: systemPrompt,
-							// @ts-ignore-next-line
-							cache_control: { type: "ephemeral" },
-						},
-					],
-				}
-				// Add cache_control to the last two user messages
-				// (note: this works because we only ever add one user message at a time, but if we added multiple we'd need to mark the user message before the last assistant message)
-				const lastTwoUserMessages = openAiMessages.filter((msg) => msg.role === "user").slice(-2)
-				lastTwoUserMessages.forEach((msg) => {
-					if (typeof msg.content === "string") {
-						msg.content = [{ type: "text", text: msg.content }]
-					}
-					if (Array.isArray(msg.content)) {
-						// NOTE: this is fine since env details will always be added at the end. but if it weren't there, and the user added a image_url type message, it would pop a text part before it and then move it after to the end.
-						let lastTextPart = msg.content.filter((part) => part.type === "text").pop()
-
-						if (!lastTextPart) {
-							lastTextPart = { type: "text", text: "..." }
-							msg.content.push(lastTextPart)
-						}
-						// @ts-ignore-next-line
-						lastTextPart["cache_control"] = { type: "ephemeral" }
-					}
-				})
-				break
-			default:
-				break
-		}
-
-		// Not sure how openrouter defaults max tokens when no value is provided, but the anthropic api requires this value and since they offer both 4096 and 8192 variants, we should ensure 8192.
-		// (models usually default to max tokens allowed)
-		let maxTokens: number | undefined
-		switch (model.id) {
-			case "anthropic/claude-3.5-sonnet":
-			case "anthropic/claude-3.5-sonnet:beta":
-			case "anthropic/claude-3.5-sonnet-20240620":
-			case "anthropic/claude-3.5-sonnet-20240620:beta":
-			case "anthropic/claude-3-5-haiku":
-			case "anthropic/claude-3-5-haiku:beta":
-			case "anthropic/claude-3-5-haiku-20241022":
-			case "anthropic/claude-3-5-haiku-20241022:beta":
-				maxTokens = 8_192
-				break
-		}
-
-		// Removes messages in the middle when close to context window limit. Should not be applied to models that support prompt caching since it would continuously break the cache.
-		let shouldApplyMiddleOutTransform = !model.info.supportsPromptCache
-		// except for deepseek (which we set supportsPromptCache to true for), where because the context window is so small our truncation algo might miss and we should use openrouter's middle-out transform as a fallback to ensure we don't exceed the context window (FIXME: once we have a more robust token estimator we should not rely on this)
-		if (model.id === "deepseek/deepseek-chat") {
-			shouldApplyMiddleOutTransform = true
-		}
-
-		// @ts-ignore-next-line
-		const stream = await this.client.chat.completions.create({
-			model: model.id,
-			max_tokens: maxTokens,
-			temperature: 0,
-			messages: openAiMessages,
-			stream: true,
-			transforms: shouldApplyMiddleOutTransform ? ["middle-out"] : undefined,
-		})
-
-		let genId: string | undefined
+		let didOutputUsage: boolean = false
 
 		for await (const chunk of stream) {
 			// openrouter returns an error object instead of the openai sdk throwing an error
 			if ("error" in chunk) {
-				const error = chunk.error as { message?: string; code?: number }
+				const error = chunk.error as OpenRouterErrorResponse["error"]
 				console.error(`OpenRouter API Error: ${error?.code} - ${error?.message}`)
-				throw new Error(`OpenRouter API Error ${error?.code}: ${error?.message}`)
+				// Include metadata in the error message if available
+				const metadataStr = error.metadata ? `\nMetadata: ${JSON.stringify(error.metadata, null, 2)}` : ""
+				throw new Error(`OpenRouter API Error ${error.code}: ${error.message}${metadataStr}`)
 			}
 
-			if (!genId && chunk.id) {
-				genId = chunk.id
+			if (!this.lastGenerationId && chunk.id) {
+				this.lastGenerationId = chunk.id
 			}
 
 			const delta = chunk.choices[0]?.delta
@@ -136,39 +63,76 @@ export class OpenRouterHandler implements ApiHandler {
 					text: delta.content,
 				}
 			}
-			// if (chunk.usage) {
-			// 	yield {
-			// 		type: "usage",
-			// 		inputTokens: chunk.usage.prompt_tokens || 0,
-			// 		outputTokens: chunk.usage.completion_tokens || 0,
-			// 	}
-			// }
+
+			// Reasoning tokens are returned separately from the content
+			if ("reasoning" in delta && delta.reasoning) {
+				yield {
+					type: "reasoning",
+					// @ts-ignore-next-line
+					reasoning: delta.reasoning,
+				}
+			}
+
+			if (!didOutputUsage && chunk.usage) {
+				yield {
+					type: "usage",
+					inputTokens: chunk.usage.prompt_tokens || 0,
+					outputTokens: chunk.usage.completion_tokens || 0,
+					// @ts-ignore-next-line
+					totalCost: chunk.usage.cost || 0,
+				}
+				didOutputUsage = true
+			}
 		}
 
-		await delay(500) // FIXME: necessary delay to ensure generation endpoint is ready
+		// Fallback to generation endpoint if usage chunk not returned
+		if (!didOutputUsage) {
+			const apiStreamUsage = await this.getApiStreamUsage()
+			if (apiStreamUsage) {
+				yield apiStreamUsage
+			}
+		}
+	}
 
+	async getApiStreamUsage(): Promise<ApiStreamUsageChunk | undefined> {
+		if (this.lastGenerationId) {
+			await setTimeoutPromise(500) // FIXME: necessary delay to ensure generation endpoint is ready
+			try {
+				const generationIterator = this.fetchGenerationDetails(this.lastGenerationId)
+				const generation = (await generationIterator.next()).value
+				// console.log("OpenRouter generation details:", generation)
+				return {
+					type: "usage",
+					// cacheWriteTokens: 0,
+					// cacheReadTokens: 0,
+					// openrouter generation endpoint fails often
+					inputTokens: generation?.native_tokens_prompt || 0,
+					outputTokens: generation?.native_tokens_completion || 0,
+					totalCost: generation?.total_cost || 0,
+				}
+			} catch (error) {
+				// ignore if fails
+				console.error("Error fetching OpenRouter generation details:", error)
+			}
+		}
+		return undefined
+	}
+
+	@withRetry({ maxRetries: 4, baseDelay: 250, maxDelay: 1000, retryAllErrors: true })
+	async *fetchGenerationDetails(genId: string) {
+		// console.log("Fetching generation details for:", genId)
 		try {
 			const response = await axios.get(`https://openrouter.ai/api/v1/generation?id=${genId}`, {
 				headers: {
 					Authorization: `Bearer ${this.options.openRouterApiKey}`,
 				},
-				timeout: 5_000, // this request hangs sometimes
+				timeout: 15_000, // this request hangs sometimes
 			})
-
-			const generation = response.data?.data
-			console.log("OpenRouter generation details:", response.data)
-			yield {
-				type: "usage",
-				// cacheWriteTokens: 0,
-				// cacheReadTokens: 0,
-				// openrouter generation endpoint fails often
-				inputTokens: generation?.native_tokens_prompt || 0,
-				outputTokens: generation?.native_tokens_completion || 0,
-				totalCost: generation?.total_cost || 0,
-			}
+			yield response.data?.data
 		} catch (error) {
 			// ignore if fails
 			console.error("Error fetching OpenRouter generation details:", error)
+			throw error
 		}
 	}
 
@@ -178,9 +142,6 @@ export class OpenRouterHandler implements ApiHandler {
 		if (modelId && modelInfo) {
 			return { id: modelId, info: modelInfo }
 		}
-		return {
-			id: openRouterDefaultModelId,
-			info: openRouterDefaultModelInfo,
-		}
+		return { id: openRouterDefaultModelId, info: openRouterDefaultModelInfo }
 	}
 }

src/api/providers/qwen.ts

@@ -0,0 +1,99 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+import { ApiHandler } from "../"
+import {
+	ApiHandlerOptions,
+	ModelInfo,
+	mainlandQwenModels,
+	internationalQwenModels,
+	mainlandQwenDefaultModelId,
+	internationalQwenDefaultModelId,
+	MainlandQwenModelId,
+	InternationalQwenModelId,
+} from "../../shared/api"
+import { convertToOpenAiMessages } from "../transform/openai-format"
+import { ApiStream } from "../transform/stream"
+import { convertToR1Format } from "../transform/r1-format"
+
+export class QwenHandler implements ApiHandler {
+	private options: ApiHandlerOptions
+	private client: OpenAI
+
+	constructor(options: ApiHandlerOptions) {
+		this.options = options
+		this.client = new OpenAI({
+			baseURL:
+				this.options.qwenApiLine === "china"
+					? "https://dashscope.aliyuncs.com/compatible-mode/v1"
+					: "https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
+			apiKey: this.options.qwenApiKey,
+		})
+	}
+
+	getModel(): { id: MainlandQwenModelId | InternationalQwenModelId; info: ModelInfo } {
+		const modelId = this.options.apiModelId
+		// Branch based on API line to let poor typescript know what to do
+		if (this.options.qwenApiLine === "china") {
+			return {
+				id: (modelId as MainlandQwenModelId) ?? mainlandQwenDefaultModelId,
+				info: mainlandQwenModels[modelId as MainlandQwenModelId] ?? mainlandQwenModels[mainlandQwenDefaultModelId],
+			}
+		} else {
+			return {
+				id: (modelId as InternationalQwenModelId) ?? internationalQwenDefaultModelId,
+				info:
+					internationalQwenModels[modelId as InternationalQwenModelId] ??
+					internationalQwenModels[internationalQwenDefaultModelId],
+			}
+		}
+	}
+
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		const model = this.getModel()
+		const isDeepseekReasoner = model.id.includes("deepseek-r1")
+		let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
+			{ role: "system", content: systemPrompt },
+			...convertToOpenAiMessages(messages),
+		]
+		if (isDeepseekReasoner) {
+			openAiMessages = convertToR1Format([{ role: "user", content: systemPrompt }, ...messages])
+		}
+		const stream = await this.client.chat.completions.create({
+			model: model.id,
+			max_completion_tokens: model.info.maxTokens,
+			messages: openAiMessages,
+			stream: true,
+			stream_options: { include_usage: true },
+			...(model.id === "deepseek-r1" ? {} : { temperature: 0 }),
+		})
+
+		for await (const chunk of stream) {
+			const delta = chunk.choices[0]?.delta
+			if (delta?.content) {
+				yield {
+					type: "text",
+					text: delta.content,
+				}
+			}
+
+			if (delta && "reasoning_content" in delta && delta.reasoning_content) {
+				yield {
+					type: "reasoning",
+					reasoning: (delta.reasoning_content as string | undefined) || "",
+				}
+			}
+
+			if (chunk.usage) {
+				yield {
+					type: "usage",
+					inputTokens: chunk.usage.prompt_tokens || 0,
+					outputTokens: chunk.usage.completion_tokens || 0,
+					// @ts-ignore-next-line
+					cacheReadTokens: chunk.usage.prompt_cache_hit_tokens || 0,
+					// @ts-ignore-next-line
+					cacheWriteTokens: chunk.usage.prompt_cache_miss_tokens || 0,
+				}
+			}
+		}
+	}
+}

src/api/providers/requesty.ts

@@ -0,0 +1,96 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+import { ApiHandlerOptions, ModelInfo, openAiModelInfoSaneDefaults } from "../../shared/api"
+import { ApiHandler } from "../index"
+import { withRetry } from "../retry"
+import { convertToOpenAiMessages } from "../transform/openai-format"
+import { ApiStream } from "../transform/stream"
+
+export class RequestyHandler implements ApiHandler {
+	private options: ApiHandlerOptions
+	private client: OpenAI
+
+	constructor(options: ApiHandlerOptions) {
+		this.options = options
+		this.client = new OpenAI({
+			baseURL: "https://router.requesty.ai/v1",
+			apiKey: this.options.requestyApiKey,
+			defaultHeaders: {
+				"HTTP-Referer": "https://cline.bot",
+				"X-Title": "Cline",
+			},
+		})
+	}
+
+	@withRetry()
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		const modelId = this.options.requestyModelId ?? ""
+
+		let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
+			{ role: "system", content: systemPrompt },
+			...convertToOpenAiMessages(messages),
+		]
+
+		// @ts-ignore-next-line
+		const stream = await this.client.chat.completions.create({
+			model: modelId,
+			messages: openAiMessages,
+			temperature: 0,
+			stream: true,
+			stream_options: { include_usage: true },
+			...(modelId === "openai/o3-mini" ? { reasoning_effort: this.options.o3MiniReasoningEffort || "medium" } : {}),
+		})
+
+		for await (const chunk of stream) {
+			const delta = chunk.choices[0]?.delta
+			if (delta?.content) {
+				yield {
+					type: "text",
+					text: delta.content,
+				}
+			}
+
+			if (delta && "reasoning_content" in delta && delta.reasoning_content) {
+				yield {
+					type: "reasoning",
+					reasoning: (delta.reasoning_content as string | undefined) || "",
+				}
+			}
+
+			// Requesty usage includes an extra field for Anthropic use cases.
+			// Safely cast the prompt token details section to the appropriate structure.
+			interface RequestyUsage extends OpenAI.CompletionUsage {
+				prompt_tokens_details?: {
+					caching_tokens?: number
+					cached_tokens?: number
+				}
+				total_cost?: number
+			}
+
+			if (chunk.usage) {
+				const usage = chunk.usage as RequestyUsage
+				const inputTokens = usage.prompt_tokens || 0
+				const outputTokens = usage.completion_tokens || 0
+				const cacheWriteTokens = usage.prompt_tokens_details?.caching_tokens || undefined
+				const cacheReadTokens = usage.prompt_tokens_details?.cached_tokens || undefined
+				const totalCost = 0 // TODO: Replace with calculateApiCostOpenAI(model.info, inputTokens, outputTokens, cacheWriteTokens, cacheReadTokens)
+
+				yield {
+					type: "usage",
+					inputTokens: inputTokens,
+					outputTokens: outputTokens,
+					cacheWriteTokens: cacheWriteTokens,
+					cacheReadTokens: cacheReadTokens,
+					totalCost: totalCost,
+				}
+			}
+		}
+	}
+
+	getModel(): { id: string; info: ModelInfo } {
+		return {
+			id: this.options.requestyModelId ?? "",
+			info: openAiModelInfoSaneDefaults,
+		}
+	}
+}

src/api/providers/sambanova.ts

@@ -0,0 +1,75 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+import { withRetry } from "../retry"
+import { ApiHandlerOptions, ModelInfo, SambanovaModelId, sambanovaDefaultModelId, sambanovaModels } from "../../shared/api"
+import { ApiHandler } from "../index"
+import { convertToOpenAiMessages } from "../transform/openai-format"
+import { ApiStream } from "../transform/stream"
+import { convertToR1Format } from "../transform/r1-format"
+
+export class SambanovaHandler implements ApiHandler {
+	private options: ApiHandlerOptions
+	private client: OpenAI
+
+	constructor(options: ApiHandlerOptions) {
+		this.options = options
+		this.client = new OpenAI({
+			baseURL: "https://api.sambanova.ai/v1",
+			apiKey: this.options.sambanovaApiKey,
+		})
+	}
+
+	@withRetry()
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		const model = this.getModel()
+
+		let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
+			{ role: "system", content: systemPrompt },
+			...convertToOpenAiMessages(messages),
+		]
+
+		const modelId = model.id.toLowerCase()
+
+		if (modelId.includes("deepseek") || modelId.includes("qwen") || modelId.includes("qwq")) {
+			openAiMessages = convertToR1Format([{ role: "user", content: systemPrompt }, ...messages])
+		}
+
+		const stream = await this.client.chat.completions.create({
+			model: this.getModel().id,
+			messages: openAiMessages,
+			temperature: 0,
+			stream: true,
+			stream_options: { include_usage: true },
+		})
+
+		for await (const chunk of stream) {
+			const delta = chunk.choices[0]?.delta
+			if (delta?.content) {
+				yield {
+					type: "text",
+					text: delta.content,
+				}
+			}
+
+			if (chunk.usage) {
+				yield {
+					type: "usage",
+					inputTokens: chunk.usage.prompt_tokens || 0,
+					outputTokens: chunk.usage.completion_tokens || 0,
+				}
+			}
+		}
+	}
+
+	getModel(): { id: string; info: ModelInfo } {
+		const modelId = this.options.apiModelId
+		if (modelId && modelId in sambanovaModels) {
+			const id = modelId as SambanovaModelId
+			return { id, info: sambanovaModels[id] }
+		}
+		return {
+			id: sambanovaDefaultModelId,
+			info: sambanovaModels[sambanovaDefaultModelId],
+		}
+	}
+}

src/api/providers/together.ts

@@ -0,0 +1,75 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+import { withRetry } from "../retry"
+import { ApiHandlerOptions, ModelInfo, openAiModelInfoSaneDefaults } from "../../shared/api"
+import { ApiHandler } from "../index"
+import { convertToOpenAiMessages } from "../transform/openai-format"
+import { ApiStream } from "../transform/stream"
+import { convertToR1Format } from "../transform/r1-format"
+
+export class TogetherHandler implements ApiHandler {
+	private options: ApiHandlerOptions
+	private client: OpenAI
+
+	constructor(options: ApiHandlerOptions) {
+		this.options = options
+		this.client = new OpenAI({
+			baseURL: "https://api.together.xyz/v1",
+			apiKey: this.options.togetherApiKey,
+		})
+	}
+
+	@withRetry()
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		const modelId = this.options.togetherModelId ?? ""
+		const isDeepseekReasoner = modelId.includes("deepseek-reasoner")
+
+		let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
+			{ role: "system", content: systemPrompt },
+			...convertToOpenAiMessages(messages),
+		]
+
+		if (isDeepseekReasoner) {
+			openAiMessages = convertToR1Format([{ role: "user", content: systemPrompt }, ...messages])
+		}
+
+		const stream = await this.client.chat.completions.create({
+			model: modelId,
+			messages: openAiMessages,
+			temperature: 0,
+			stream: true,
+			stream_options: { include_usage: true },
+		})
+		for await (const chunk of stream) {
+			const delta = chunk.choices[0]?.delta
+			if (delta?.content) {
+				yield {
+					type: "text",
+					text: delta.content,
+				}
+			}
+
+			if (delta && "reasoning_content" in delta && delta.reasoning_content) {
+				yield {
+					type: "reasoning",
+					reasoning: (delta.reasoning_content as string | undefined) || "",
+				}
+			}
+
+			if (chunk.usage) {
+				yield {
+					type: "usage",
+					inputTokens: chunk.usage.prompt_tokens || 0,
+					outputTokens: chunk.usage.completion_tokens || 0,
+				}
+			}
+		}
+	}
+
+	getModel(): { id: string; info: ModelInfo } {
+		return {
+			id: this.options.togetherModelId ?? "",
+			info: openAiModelInfoSaneDefaults,
+		}
+	}
+}

src/api/providers/types.ts

@@ -0,0 +1,22 @@
+// For the following openrouter error type sources, see the docs here:
+// https://openrouter.ai/docs/api-reference/errors
+
+export type OpenRouterErrorResponse = {
+	error: {
+		message: string
+		code: number
+		metadata?: OpenRouterProviderErrorMetadata | OpenRouterModerationErrorMetadata | Record<string, unknown>
+	}
+}
+
+export type OpenRouterProviderErrorMetadata = {
+	provider_name: string // The name of the provider that encountered the error
+	raw: unknown // The raw error from the provider
+}
+
+export type OpenRouterModerationErrorMetadata = {
+	reasons: string[] // Why your input was flagged
+	flagged_input: string // The text segment that was flagged, limited to 100 characters. If the flagged input is longer than 100 characters, it will be truncated in the middle and replaced with ...
+	provider_name: string // The name of the provider that requested moderation
+	model_slug: string
+}

src/api/providers/vertex.ts

@@ -1,76 +1,270 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { AnthropicVertex } from "@anthropic-ai/vertex-sdk"
+import { withRetry } from "../retry"
 import { ApiHandler } from "../"
 import { ApiHandlerOptions, ModelInfo, vertexDefaultModelId, VertexModelId, vertexModels } from "../../shared/api"
 import { ApiStream } from "../transform/stream"
+import { VertexAI } from "@google-cloud/vertexai"
 
 // https://docs.anthropic.com/en/api/claude-on-vertex-ai
 export class VertexHandler implements ApiHandler {
 	private options: ApiHandlerOptions
-	private client: AnthropicVertex
+	private clientAnthropic: AnthropicVertex
+	private clientVertex: VertexAI
 
 	constructor(options: ApiHandlerOptions) {
 		this.options = options
-		this.client = new AnthropicVertex({
+		this.clientAnthropic = new AnthropicVertex({
 			projectId: this.options.vertexProjectId,
 			// https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude#regions
 			region: this.options.vertexRegion,
 		})
+		this.clientVertex = new VertexAI({
+			project: this.options.vertexProjectId,
+			location: this.options.vertexRegion,
+		})
 	}
 
+	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
-		const stream = await this.client.messages.create({
-			model: this.getModel().id,
-			max_tokens: this.getModel().info.maxTokens || 8192,
-			temperature: 0,
-			system: systemPrompt,
-			messages,
-			stream: true,
-		})
-		for await (const chunk of stream) {
-			switch (chunk.type) {
-				case "message_start":
-					const usage = chunk.message.usage
-					yield {
-						type: "usage",
-						inputTokens: usage.input_tokens || 0,
-						outputTokens: usage.output_tokens || 0,
-					}
-					break
-				case "message_delta":
-					yield {
-						type: "usage",
-						inputTokens: 0,
-						outputTokens: chunk.usage.output_tokens || 0,
-					}
-					break
+		const model = this.getModel()
+		const modelId = model.id
 
-				case "content_block_start":
-					switch (chunk.content_block.type) {
-						case "text":
-							if (chunk.index > 0) {
+		if (modelId.includes("claude")) {
+			let budget_tokens = this.options.thinkingBudgetTokens || 0
+			const reasoningOn = modelId.includes("3-7") && budget_tokens !== 0 ? true : false
+
+			let stream
+			switch (modelId) {
+				case "claude-3-7-sonnet@20250219":
+				case "claude-3-5-sonnet-v2@20241022":
+				case "claude-3-5-sonnet@20240620":
+				case "claude-3-5-haiku@20241022":
+				case "claude-3-opus@20240229":
+				case "claude-3-haiku@20240307": {
+					// Find indices of user messages for cache control
+					const userMsgIndices = messages.reduce(
+						(acc, msg, index) => (msg.role === "user" ? [...acc, index] : acc),
+						[] as number[],
+					)
+					const lastUserMsgIndex = userMsgIndices[userMsgIndices.length - 1] ?? -1
+					const secondLastMsgUserIndex = userMsgIndices[userMsgIndices.length - 2] ?? -1
+
+					stream = await this.clientAnthropic.beta.messages.create(
+						{
+							model: modelId,
+							max_tokens: model.info.maxTokens || 8192,
+							thinking: reasoningOn ? { type: "enabled", budget_tokens: budget_tokens } : undefined,
+							temperature: reasoningOn ? undefined : 0,
+							system: [
+								{
+									text: systemPrompt,
+									type: "text",
+									cache_control: { type: "ephemeral" },
+								},
+							],
+							messages: messages.map((message, index) => {
+								if (index === lastUserMsgIndex || index === secondLastMsgUserIndex) {
+									return {
+										...message,
+										content:
+											typeof message.content === "string"
+												? [
+														{
+															type: "text",
+															text: message.content,
+															cache_control: {
+																type: "ephemeral",
+															},
+														},
+													]
+												: message.content.map((content, contentIndex) =>
+														contentIndex === message.content.length - 1
+															? {
+																	...content,
+																	cache_control: {
+																		type: "ephemeral",
+																	},
+																}
+															: content,
+													),
+									}
+								}
+								return {
+									...message,
+									content:
+										typeof message.content === "string"
+											? [
+													{
+														type: "text",
+														text: message.content,
+													},
+												]
+											: message.content,
+								}
+							}),
+							stream: true,
+						},
+						{
+							headers: {},
+						},
+					)
+					break
+				}
+				default: {
+					stream = await this.clientAnthropic.beta.messages.create({
+						model: modelId,
+						max_tokens: model.info.maxTokens || 8192,
+						temperature: 0,
+						system: [
+							{
+								text: systemPrompt,
+								type: "text",
+							},
+						],
+						messages: messages.map((message) => ({
+							...message,
+							content:
+								typeof message.content === "string"
+									? [
+											{
+												type: "text",
+												text: message.content,
+											},
+										]
+									: message.content,
+						})),
+						stream: true,
+					})
+					break
+				}
+			}
+			for await (const chunk of stream) {
+				switch (chunk.type) {
+					case "message_start":
+						const usage = chunk.message.usage
+						yield {
+							type: "usage",
+							inputTokens: usage.input_tokens || 0,
+							outputTokens: usage.output_tokens || 0,
+							cacheWriteTokens: usage.cache_creation_input_tokens || undefined,
+							cacheReadTokens: usage.cache_read_input_tokens || undefined,
+						}
+						break
+					case "message_delta":
+						yield {
+							type: "usage",
+							inputTokens: 0,
+							outputTokens: chunk.usage.output_tokens || 0,
+						}
+						break
+					case "message_stop":
+						break
+					case "content_block_start":
+						switch (chunk.content_block.type) {
+							case "thinking":
+								yield {
+									type: "reasoning",
+									reasoning: chunk.content_block.thinking || "",
+								}
+								break
+							case "redacted_thinking":
+								// Handle redacted thinking blocks - we still mark it as reasoning
+								// but note that the content is encrypted
+								yield {
+									type: "reasoning",
+									reasoning: "[Redacted thinking block]",
+								}
+								break
+
+							case "text":
+								if (chunk.index > 0) {
+									yield {
+										type: "text",
+										text: "\n",
+									}
+								}
 								yield {
 									type: "text",
-									text: "\n",
+									text: chunk.content_block.text,
 								}
+								break
+						}
+						break
+					case "content_block_delta":
+						switch (chunk.delta.type) {
+							case "thinking_delta":
+								yield {
+									type: "reasoning",
+									reasoning: chunk.delta.thinking,
+								}
+								break
+							case "text_delta":
+								yield {
+									type: "text",
+									text: chunk.delta.text,
+								}
+								break
+						}
+						break
+					case "content_block_stop":
+						break
+				}
+			}
+		} else {
+			// gemini
+			const generativeModel = this.clientVertex.getGenerativeModel({
+				model: this.getModel().id,
+				systemInstruction: {
+					role: "system",
+					parts: [{ text: systemPrompt }],
+				},
+			})
+			const request = {
+				contents: [
+					{
+						role: "user",
+						parts: messages.map((m) => {
+							if (typeof m.content === "string") {
+								return { text: m.content }
+							} else if (Array.isArray(m.content)) {
+								return {
+									text: m.content
+										.map((block) => {
+											if (typeof block === "string") {
+												return block
+											} else if (block.type === "text") {
+												return block.text
+											} else {
+												console.log("Unsupported block type", block)
+												return ""
+											}
+										})
+										.join(" "),
+								}
+							} else {
+								return { text: "" }
 							}
+						}),
+					},
+				],
+			}
+			const streamingResult = await generativeModel.generateContentStream(request)
+			for await (const chunk of streamingResult.stream) {
+				// If usage data is available, yield it similarly:
+				// yield { type: "usage", inputTokens: 0, outputTokens: 0 }
+				// Otherwise, just yield text:
+				const candidates = chunk.candidates || []
+				for (const candidate of candidates) {
+					for (const part of candidate.content?.parts || []) {
+						if (part.text) {
 							yield {
 								type: "text",
-								text: chunk.content_block.text,
+								text: part.text,
 							}
-							break
+						}
 					}
-					break
-				case "content_block_delta":
-					switch (chunk.delta.type) {
-						case "text_delta":
-							yield {
-								type: "text",
-								text: chunk.delta.text,
-							}
-							break
-					}
-					break
+				}
 			}
 		}
 	}

src/api/providers/vscode-lm.ts

@@ -1,7 +1,7 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import * as vscode from "vscode"
 import { ApiHandler, SingleCompletionHandler } from "../"
-import { calculateApiCost } from "../../utils/cost"
+import { calculateApiCostAnthropic } from "../../utils/cost"
 import { ApiStream } from "../transform/stream"
 import { convertToVsCodeLmMessages } from "../transform/vscode-lm-format"
 import { SELECTOR_SEPARATOR, stringifyVsCodeLmModelSelector } from "../../shared/vsCodeSelectorUtils"
@@ -525,7 +525,7 @@ export class VsCodeLmHandler implements ApiHandler, SingleCompletionHandler {
 				type: "usage",
 				inputTokens: totalInputTokens,
 				outputTokens: totalOutputTokens,
-				totalCost: calculateApiCost(this.getModel().info, totalInputTokens, totalOutputTokens),
+				totalCost: calculateApiCostAnthropic(this.getModel().info, totalInputTokens, totalOutputTokens),
 			}
 		} catch (error: unknown) {
 			this.ensureCleanState()

src/api/providers/xai.ts

@@ -0,0 +1,64 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+import { ApiHandler } from "../"
+import { ApiHandlerOptions, XAIModelId, ModelInfo, xaiDefaultModelId, xaiModels } from "../../shared/api"
+import { convertToOpenAiMessages } from "../transform/openai-format"
+import { ApiStream } from "../transform/stream"
+
+export class XAIHandler implements ApiHandler {
+	private options: ApiHandlerOptions
+	private client: OpenAI
+
+	constructor(options: ApiHandlerOptions) {
+		this.options = options
+		this.client = new OpenAI({
+			baseURL: "https://api.x.ai/v1",
+			apiKey: this.options.xaiApiKey,
+		})
+	}
+
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		const stream = await this.client.chat.completions.create({
+			model: this.getModel().id,
+			max_completion_tokens: this.getModel().info.maxTokens,
+			temperature: 0,
+			messages: [{ role: "system", content: systemPrompt }, ...convertToOpenAiMessages(messages)],
+			stream: true,
+			stream_options: { include_usage: true },
+		})
+
+		for await (const chunk of stream) {
+			const delta = chunk.choices[0]?.delta
+			if (delta?.content) {
+				yield {
+					type: "text",
+					text: delta.content,
+				}
+			}
+
+			if (chunk.usage) {
+				yield {
+					type: "usage",
+					inputTokens: 0,
+					outputTokens: chunk.usage.completion_tokens || 0,
+					// @ts-ignore-next-line
+					cacheReadTokens: chunk.usage.prompt_cache_hit_tokens || 0,
+					// @ts-ignore-next-line
+					cacheWriteTokens: chunk.usage.prompt_cache_miss_tokens || 0,
+				}
+			}
+		}
+	}
+
+	getModel(): { id: XAIModelId; info: ModelInfo } {
+		const modelId = this.options.apiModelId
+		if (modelId && modelId in xaiModels) {
+			const id = modelId as XAIModelId
+			return { id, info: xaiModels[id] }
+		}
+		return {
+			id: xaiDefaultModelId,
+			info: xaiModels[xaiDefaultModelId],
+		}
+	}
+}

src/api/retry.test.ts

@@ -0,0 +1,216 @@
+import { describe, it } from "mocha"
+import "should"
+import { withRetry } from "./retry"
+
+describe("Retry Decorator", () => {
+	describe("withRetry", () => {
+		it("should not retry on success", async () => {
+			let callCount = 0
+			class TestClass {
+				@withRetry()
+				async *successMethod() {
+					callCount++
+					yield "success"
+				}
+			}
+
+			const test = new TestClass()
+			const result = []
+			for await (const value of test.successMethod()) {
+				result.push(value)
+			}
+
+			callCount.should.equal(1)
+			result.should.deepEqual(["success"])
+		})
+
+		it("should retry on rate limit (429) error", async () => {
+			let callCount = 0
+			class TestClass {
+				@withRetry({ maxRetries: 2, baseDelay: 10, maxDelay: 100 })
+				async *failMethod() {
+					callCount++
+					if (callCount === 1) {
+						const error: any = new Error("Rate limit exceeded")
+						error.status = 429
+						throw error
+					}
+					yield "success after retry"
+				}
+			}
+
+			const test = new TestClass()
+			const result = []
+			for await (const value of test.failMethod()) {
+				result.push(value)
+			}
+
+			callCount.should.equal(2)
+			result.should.deepEqual(["success after retry"])
+		})
+
+		it("should not retry on non-rate-limit errors", async () => {
+			let callCount = 0
+			class TestClass {
+				@withRetry()
+				async *failMethod() {
+					callCount++
+					throw new Error("Regular error")
+				}
+			}
+
+			const test = new TestClass()
+			try {
+				for await (const _ of test.failMethod()) {
+					// Should not reach here
+				}
+				throw new Error("Should have thrown")
+			} catch (error: any) {
+				error.message.should.equal("Regular error")
+				callCount.should.equal(1)
+			}
+		})
+
+		it("should respect retry-after header with delta seconds", async () => {
+			let callCount = 0
+			const startTime = Date.now()
+			class TestClass {
+				@withRetry({ maxRetries: 2, baseDelay: 1000 }) // Use large baseDelay to ensure header takes precedence
+				async *failMethod() {
+					callCount++
+					if (callCount === 1) {
+						const error: any = new Error("Rate limit exceeded")
+						error.status = 429
+						error.headers = { "retry-after": "0.01" } // 10ms delay
+						throw error
+					}
+					yield "success after retry"
+				}
+			}
+
+			const test = new TestClass()
+			const result = []
+			for await (const value of test.failMethod()) {
+				result.push(value)
+			}
+
+			const duration = Date.now() - startTime
+			duration.should.be.approximately(10, 10) // Allow 10ms variance
+			callCount.should.equal(2)
+			result.should.deepEqual(["success after retry"])
+		})
+
+		it("should respect retry-after header with Unix timestamp", async () => {
+			let callCount = 0
+			const startTime = Date.now()
+			const retryTimestamp = Math.floor(Date.now() / 1000) + 0.01 // 10ms in the future
+
+			class TestClass {
+				@withRetry({ maxRetries: 2, baseDelay: 1000 }) // Use large baseDelay to ensure header takes precedence
+				async *failMethod() {
+					callCount++
+					if (callCount === 1) {
+						const error: any = new Error("Rate limit exceeded")
+						error.status = 429
+						error.headers = { "retry-after": retryTimestamp.toString() }
+						throw error
+					}
+					yield "success after retry"
+				}
+			}
+
+			const test = new TestClass()
+			const result = []
+			for await (const value of test.failMethod()) {
+				result.push(value)
+			}
+
+			const duration = Date.now() - startTime
+			duration.should.be.approximately(10, 10) // Allow 10ms variance
+			callCount.should.equal(2)
+			result.should.deepEqual(["success after retry"])
+		})
+
+		it("should use exponential backoff when no retry-after header", async () => {
+			let callCount = 0
+			const startTime = Date.now()
+			class TestClass {
+				@withRetry({ maxRetries: 2, baseDelay: 10, maxDelay: 100 })
+				async *failMethod() {
+					callCount++
+					if (callCount === 1) {
+						const error: any = new Error("Rate limit exceeded")
+						error.status = 429
+						throw error
+					}
+					yield "success after retry"
+				}
+			}
+
+			const test = new TestClass()
+			const result = []
+			for await (const value of test.failMethod()) {
+				result.push(value)
+			}
+
+			const duration = Date.now() - startTime
+			// First retry should be after baseDelay (10ms)
+			duration.should.be.approximately(10, 10)
+			callCount.should.equal(2)
+			result.should.deepEqual(["success after retry"])
+		})
+
+		it("should respect maxDelay", async () => {
+			let callCount = 0
+			const startTime = Date.now()
+			class TestClass {
+				@withRetry({ maxRetries: 3, baseDelay: 50, maxDelay: 10 })
+				async *failMethod() {
+					callCount++
+					if (callCount < 3) {
+						const error: any = new Error("Rate limit exceeded")
+						error.status = 429
+						throw error
+					}
+					yield "success after retries"
+				}
+			}
+
+			const test = new TestClass()
+			const result = []
+			for await (const value of test.failMethod()) {
+				result.push(value)
+			}
+
+			const duration = Date.now() - startTime
+			// Both retries should be capped at maxDelay (10ms each)
+			duration.should.be.approximately(20, 20)
+			callCount.should.equal(3)
+			result.should.deepEqual(["success after retries"])
+		})
+
+		it("should throw after maxRetries attempts", async () => {
+			let callCount = 0
+			class TestClass {
+				@withRetry({ maxRetries: 2, baseDelay: 10 })
+				async *failMethod() {
+					callCount++
+					const error: any = new Error("Rate limit exceeded")
+					error.status = 429
+					throw error
+				}
+			}
+
+			const test = new TestClass()
+			try {
+				for await (const _ of test.failMethod()) {
+					// Should not reach here
+				}
+				throw new Error("Should have thrown")
+			} catch (error: any) {
+				error.message.should.equal("Rate limit exceeded")
+				callCount.should.equal(2) // Initial attempt + 1 retry
+			}
+		})
+	})
+})

src/api/retry.ts

@@ -0,0 +1,64 @@
+interface RetryOptions {
+	maxRetries?: number
+	baseDelay?: number
+	maxDelay?: number
+	retryAllErrors?: boolean
+}
+
+const DEFAULT_OPTIONS: Required<RetryOptions> = {
+	maxRetries: 3,
+	baseDelay: 1_000,
+	maxDelay: 10_000,
+	retryAllErrors: false,
+}
+
+export function withRetry(options: RetryOptions = {}) {
+	const { maxRetries, baseDelay, maxDelay, retryAllErrors } = { ...DEFAULT_OPTIONS, ...options }
+
+	return function (_target: any, _propertyKey: string, descriptor: PropertyDescriptor) {
+		const originalMethod = descriptor.value
+
+		descriptor.value = async function* (...args: any[]) {
+			for (let attempt = 0; attempt < maxRetries; attempt++) {
+				try {
+					yield* originalMethod.apply(this, args)
+					return
+				} catch (error: any) {
+					const isRateLimit = error?.status === 429
+					const isLastAttempt = attempt === maxRetries - 1
+
+					if ((!isRateLimit && !retryAllErrors) || isLastAttempt) {
+						throw error
+					}
+
+					// Get retry delay from header or calculate exponential backoff
+					// Check various rate limit headers
+					const retryAfter =
+						error.headers?.["retry-after"] ||
+						error.headers?.["x-ratelimit-reset"] ||
+						error.headers?.["ratelimit-reset"]
+
+					let delay: number
+					if (retryAfter) {
+						// Handle both delta-seconds and Unix timestamp formats
+						const retryValue = parseInt(retryAfter, 10)
+						if (retryValue > Date.now() / 1000) {
+							// Unix timestamp
+							delay = retryValue * 1000 - Date.now()
+						} else {
+							// Delta seconds
+							delay = retryValue * 1000
+						}
+					} else {
+						// Use exponential backoff if no header
+						delay = Math.min(maxDelay, baseDelay * Math.pow(2, attempt))
+					}
+
+					await new Promise((resolve) => setTimeout(resolve, delay))
+				}
+			}
+		}
+
+		return descriptor
+	}
+}

src/api/transform/gemini-format.ts

@@ -1,26 +1,7 @@
 import { Anthropic } from "@anthropic-ai/sdk"
-import {
-	Content,
-	EnhancedGenerateContentResponse,
-	FunctionCallPart,
-	FunctionDeclaration,
-	FunctionResponsePart,
-	InlineDataPart,
-	Part,
-	SchemaType,
-	TextPart,
-} from "@google/generative-ai"
+import { Content, EnhancedGenerateContentResponse, InlineDataPart, Part, TextPart } from "@google/generative-ai"
 
-export function convertAnthropicContentToGemini(
-	content:
-		| string
-		| Array<
-				| Anthropic.Messages.TextBlockParam
-				| Anthropic.Messages.ImageBlockParam
-				| Anthropic.Messages.ToolUseBlockParam
-				| Anthropic.Messages.ToolResultBlockParam
-		  >,
-): Part[] {
+export function convertAnthropicContentToGemini(content: string | Anthropic.ContentBlockParam[]): Part[] {
 	if (typeof content === "string") {
 		return [{ text: content } as TextPart]
 	}
@@ -38,55 +19,6 @@ export function convertAnthropicContentToGemini(
 						mimeType: block.source.media_type,
 					},
 				} as InlineDataPart
-			case "tool_use":
-				return {
-					functionCall: {
-						name: block.name,
-						args: block.input,
-					},
-				} as FunctionCallPart
-			case "tool_result":
-				const name = block.tool_use_id.split("-")[0]
-				if (!block.content) {
-					return []
-				}
-				if (typeof block.content === "string") {
-					return {
-						functionResponse: {
-							name,
-							response: {
-								name,
-								content: block.content,
-							},
-						},
-					} as FunctionResponsePart
-				} else {
-					// The only case when tool_result could be array is when the tool failed and we're providing ie user feedback potentially with images
-					const textParts = block.content.filter((part) => part.type === "text")
-					const imageParts = block.content.filter((part) => part.type === "image")
-					const text = textParts.length > 0 ? textParts.map((part) => part.text).join("\n\n") : ""
-					const imageText = imageParts.length > 0 ? "\n\n(See next part for image)" : ""
-					return [
-						{
-							functionResponse: {
-								name,
-								response: {
-									name,
-									content: text + imageText,
-								},
-							},
-						} as FunctionResponsePart,
-						...imageParts.map(
-							(part) =>
-								({
-									inlineData: {
-										data: part.source.data,
-										mimeType: part.source.media_type,
-									},
-								}) as InlineDataPart,
-						),
-					]
-				}
 			default:
 				throw new Error(`Unsupported content block type: ${(block as any).type}`)
 		}
@@ -100,26 +32,6 @@ export function convertAnthropicMessageToGemini(message: Anthropic.Messages.Mess
 	}
 }
 
-export function convertAnthropicToolToGemini(tool: Anthropic.Messages.Tool): FunctionDeclaration {
-	return {
-		name: tool.name,
-		description: tool.description || "",
-		parameters: {
-			type: SchemaType.OBJECT,
-			properties: Object.fromEntries(
-				Object.entries(tool.input_schema.properties || {}).map(([key, value]) => [
-					key,
-					{
-						type: (value as any).type.toUpperCase(),
-						description: (value as any).description || "",
-					},
-				]),
-			),
-			required: (tool.input_schema.required as string[]) || [],
-		},
-	}
-}
-
 /*
 It looks like gemini likes to double escape certain characters when writing file contents: https://discuss.ai.google.dev/t/function-call-string-property-is-double-escaped/37867
 */
@@ -133,23 +45,7 @@ export function convertGeminiResponseToAnthropic(response: EnhancedGenerateConte
 	// Add the main text response
 	const text = response.text()
 	if (text) {
-		content.push({ type: "text", text })
-	}
-
-	// Add function calls as tool_use blocks
-	const functionCalls = response.functionCalls()
-	if (functionCalls) {
-		functionCalls.forEach((call, index) => {
-			if ("content" in call.args && typeof call.args.content === "string") {
-				call.args.content = unescapeGeminiContent(call.args.content)
-			}
-			content.push({
-				type: "tool_use",
-				id: `${call.name}-${index}-${Date.now()}`,
-				name: call.name,
-				input: call.args,
-			})
-		})
+		content.push({ type: "text", text, citations: null })
 	}
 
 	// Determine stop reason
@@ -183,6 +79,8 @@ export function convertGeminiResponseToAnthropic(response: EnhancedGenerateConte
 		usage: {
 			input_tokens: response.usageMetadata?.promptTokenCount ?? 0,
 			output_tokens: response.usageMetadata?.candidatesTokenCount ?? 0,
+			cache_creation_input_tokens: null,
+			cache_read_input_tokens: null,
 		},
 	}
 }

src/api/transform/mistral-format.ts

@@ -1,5 +1,4 @@
 import { Anthropic } from "@anthropic-ai/sdk"
-import { Mistral } from "@mistralai/mistralai"
 import { AssistantMessage } from "@mistralai/mistralai/models/components/assistantmessage"
 import { SystemMessage } from "@mistralai/mistralai/models/components/systemmessage"
 import { ToolMessage } from "@mistralai/mistralai/models/components/toolmessage"
@@ -21,25 +20,15 @@ export function convertToMistralMessages(anthropicMessages: Anthropic.Messages.M
 			})
 		} else {
 			if (anthropicMessage.role === "user") {
-				const { nonToolMessages, toolMessages } = anthropicMessage.content.reduce<{
-					nonToolMessages: (Anthropic.TextBlockParam | Anthropic.ImageBlockParam)[]
-					toolMessages: Anthropic.ToolResultBlockParam[]
-				}>(
-					(acc, part) => {
-						if (part.type === "tool_result") {
-							acc.toolMessages.push(part)
-						} else if (part.type === "text" || part.type === "image") {
-							acc.nonToolMessages.push(part)
-						} // user cannot send tool_use messages
-						return acc
-					},
-					{ nonToolMessages: [], toolMessages: [] },
+				// Filter to only include text and image blocks
+				const textAndImageBlocks = anthropicMessage.content.filter(
+					(part) => part.type === "text" || part.type === "image",
 				)
 
-				if (nonToolMessages.length > 0) {
+				if (textAndImageBlocks.length > 0) {
 					mistralMessages.push({
 						role: "user",
-						content: nonToolMessages.map((part) => {
+						content: textAndImageBlocks.map((part) => {
 							if (part.type === "image") {
 								return {
 									type: "image_url",
@@ -53,37 +42,17 @@ export function convertToMistralMessages(anthropicMessages: Anthropic.Messages.M
 					})
 				}
 			} else if (anthropicMessage.role === "assistant") {
-				const { nonToolMessages, toolMessages } = anthropicMessage.content.reduce<{
-					nonToolMessages: (Anthropic.TextBlockParam | Anthropic.ImageBlockParam)[]
-					toolMessages: Anthropic.ToolUseBlockParam[]
-				}>(
-					(acc, part) => {
-						if (part.type === "tool_use") {
-							acc.toolMessages.push(part)
-						} else if (part.type === "text" || part.type === "image") {
-							acc.nonToolMessages.push(part)
-						} // assistant cannot send tool_result messages
-						return acc
-					},
-					{ nonToolMessages: [], toolMessages: [] },
-				)
+				// Only process text blocks - assistant cannot send images or other content types in Mistral's API format
+				const textBlocks = anthropicMessage.content.filter((part) => part.type === "text")
 
-				let content: string | undefined
-				if (nonToolMessages.length > 0) {
-					content = nonToolMessages
-						.map((part) => {
-							if (part.type === "image") {
-								return "" // impossible as the assistant cannot send images
-							}
-							return part.text
-						})
-						.join("\n")
+				if (textBlocks.length > 0) {
+					const content = textBlocks.map((part) => part.text).join("\n")
+
+					mistralMessages.push({
+						role: "assistant",
+						content,
+					})
 				}
-
-				mistralMessages.push({
-					role: "assistant",
-					content,
-				})
 			}
 		}
 	}

src/api/transform/o1-format.ts

@@ -376,6 +376,7 @@ export function convertO1ResponseToAnthropicMessage(
 			{
 				type: "text",
 				text: normalText,
+				citations: null,
 			},
 		],
 		model: completion.model,
@@ -396,6 +397,8 @@ export function convertO1ResponseToAnthropicMessage(
 		usage: {
 			input_tokens: completion.usage?.prompt_tokens || 0,
 			output_tokens: completion.usage?.completion_tokens || 0,
+			cache_creation_input_tokens: null,
+			cache_read_input_tokens: null,
 		},
 	}
 

src/api/transform/ollama-format.ts

@@ -0,0 +1,109 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import { Message } from "ollama"
+
+export function convertToOllamaMessages(anthropicMessages: Anthropic.Messages.MessageParam[]): Message[] {
+	const ollamaMessages: Message[] = []
+
+	for (const anthropicMessage of anthropicMessages) {
+		if (typeof anthropicMessage.content === "string") {
+			ollamaMessages.push({
+				role: anthropicMessage.role,
+				content: anthropicMessage.content,
+			})
+		} else {
+			if (anthropicMessage.role === "user") {
+				const { nonToolMessages, toolMessages } = anthropicMessage.content.reduce<{
+					nonToolMessages: (Anthropic.TextBlockParam | Anthropic.ImageBlockParam)[]
+					toolMessages: Anthropic.ToolResultBlockParam[]
+				}>(
+					(acc, part) => {
+						if (part.type === "tool_result") {
+							acc.toolMessages.push(part)
+						} else if (part.type === "text" || part.type === "image") {
+							acc.nonToolMessages.push(part)
+						}
+						return acc
+					},
+					{ nonToolMessages: [], toolMessages: [] },
+				)
+
+				// Process tool result messages FIRST since they must follow the tool use messages
+				let toolResultImages: string[] = []
+				toolMessages.forEach((toolMessage) => {
+					// The Anthropic SDK allows tool results to be a string or an array of text and image blocks, enabling rich and structured content. In contrast, the Ollama SDK only supports tool results as a single string, so we map the Anthropic tool result parts into one concatenated string to maintain compatibility.
+					let content: string
+
+					if (typeof toolMessage.content === "string") {
+						content = toolMessage.content
+					} else {
+						content =
+							toolMessage.content
+								?.map((part) => {
+									if (part.type === "image") {
+										toolResultImages.push(`data:${part.source.media_type};base64,${part.source.data}`)
+										return "(see following user message for image)"
+									}
+									return part.text
+								})
+								.join("\n") ?? ""
+					}
+					ollamaMessages.push({
+						role: "user",
+						images: toolResultImages.length > 0 ? toolResultImages : undefined,
+						content: content,
+					})
+				})
+
+				// Process non-tool messages
+				if (nonToolMessages.length > 0) {
+					ollamaMessages.push({
+						role: "user",
+						content: nonToolMessages
+							.map((part) => {
+								if (part.type === "image") {
+									return `data:${part.source.media_type};base64,${part.source.data}`
+								}
+								return part.text
+							})
+							.join("\n"),
+					})
+				}
+			} else if (anthropicMessage.role === "assistant") {
+				const { nonToolMessages, toolMessages } = anthropicMessage.content.reduce<{
+					nonToolMessages: (Anthropic.TextBlockParam | Anthropic.ImageBlockParam)[]
+					toolMessages: Anthropic.ToolUseBlockParam[]
+				}>(
+					(acc, part) => {
+						if (part.type === "tool_use") {
+							acc.toolMessages.push(part)
+						} else if (part.type === "text" || part.type === "image") {
+							acc.nonToolMessages.push(part)
+						} // assistant cannot send tool_result messages
+						return acc
+					},
+					{ nonToolMessages: [], toolMessages: [] },
+				)
+
+				// Process non-tool messages
+				let content: string = ""
+				if (nonToolMessages.length > 0) {
+					content = nonToolMessages
+						.map((part) => {
+							if (part.type === "image") {
+								return "" // impossible as the assistant cannot send images
+							}
+							return part.text
+						})
+						.join("\n")
+				}
+
+				ollamaMessages.push({
+					role: "assistant",
+					content,
+				})
+			}
+		}
+	}
+
+	return ollamaMessages
+}

src/api/transform/openai-format.ts

@@ -161,6 +161,7 @@ export function convertToAnthropicMessage(completion: OpenAI.Chat.Completions.Ch
 			{
 				type: "text",
 				text: openAiMessage.content || "",
+				citations: null,
 			},
 		],
 		model: completion.model,
@@ -181,6 +182,8 @@ export function convertToAnthropicMessage(completion: OpenAI.Chat.Completions.Ch
 		usage: {
 			input_tokens: completion.usage?.prompt_tokens || 0,
 			output_tokens: completion.usage?.completion_tokens || 0,
+			cache_creation_input_tokens: null,
+			cache_read_input_tokens: null,
 		},
 	}
 

src/api/transform/openrouter-stream.ts

@@ -0,0 +1,154 @@
+import { ModelInfo } from "../../shared/api"
+import { convertToOpenAiMessages } from "./openai-format"
+import { convertToR1Format } from "./r1-format"
+import { ApiStream, ApiStreamChunk } from "./stream"
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+import { OpenRouterErrorResponse } from "../providers/types"
+
+export async function createOpenRouterStream(
+	client: OpenAI,
+	systemPrompt: string,
+	messages: Anthropic.Messages.MessageParam[],
+	model: { id: string; info: ModelInfo },
+	o3MiniReasoningEffort?: string,
+	thinkingBudgetTokens?: number,
+	openRouterProviderSorting?: string,
+) {
+	// Convert Anthropic messages to OpenAI format
+	let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
+		{ role: "system", content: systemPrompt },
+		...convertToOpenAiMessages(messages),
+	]
+
+	// prompt caching: https://openrouter.ai/docs/prompt-caching
+	// this is specifically for claude models (some models may 'support prompt caching' automatically without this)
+	switch (model.id) {
+		case "anthropic/claude-3.7-sonnet":
+		case "anthropic/claude-3.7-sonnet:beta":
+		case "anthropic/claude-3.7-sonnet:thinking":
+		case "anthropic/claude-3-7-sonnet":
+		case "anthropic/claude-3-7-sonnet:beta":
+		case "anthropic/claude-3.5-sonnet":
+		case "anthropic/claude-3.5-sonnet:beta":
+		case "anthropic/claude-3.5-sonnet-20240620":
+		case "anthropic/claude-3.5-sonnet-20240620:beta":
+		case "anthropic/claude-3-5-haiku":
+		case "anthropic/claude-3-5-haiku:beta":
+		case "anthropic/claude-3-5-haiku-20241022":
+		case "anthropic/claude-3-5-haiku-20241022:beta":
+		case "anthropic/claude-3-haiku":
+		case "anthropic/claude-3-haiku:beta":
+		case "anthropic/claude-3-opus":
+		case "anthropic/claude-3-opus:beta":
+			openAiMessages[0] = {
+				role: "system",
+				content: [
+					{
+						type: "text",
+						text: systemPrompt,
+						// @ts-ignore-next-line
+						cache_control: { type: "ephemeral" },
+					},
+				],
+			}
+			// Add cache_control to the last two user messages
+			// (note: this works because we only ever add one user message at a time, but if we added multiple we'd need to mark the user message before the last assistant message)
+			const lastTwoUserMessages = openAiMessages.filter((msg) => msg.role === "user").slice(-2)
+			lastTwoUserMessages.forEach((msg) => {
+				if (typeof msg.content === "string") {
+					msg.content = [{ type: "text", text: msg.content }]
+				}
+				if (Array.isArray(msg.content)) {
+					// NOTE: this is fine since env details will always be added at the end. but if it weren't there, and the user added a image_url type message, it would pop a text part before it and then move it after to the end.
+					let lastTextPart = msg.content.filter((part) => part.type === "text").pop()
+
+					if (!lastTextPart) {
+						lastTextPart = { type: "text", text: "..." }
+						msg.content.push(lastTextPart)
+					}
+					// @ts-ignore-next-line
+					lastTextPart["cache_control"] = { type: "ephemeral" }
+				}
+			})
+			break
+		default:
+			break
+	}
+
+	// Not sure how openrouter defaults max tokens when no value is provided, but the anthropic api requires this value and since they offer both 4096 and 8192 variants, we should ensure 8192.
+	// (models usually default to max tokens allowed)
+	let maxTokens: number | undefined
+	switch (model.id) {
+		case "anthropic/claude-3.7-sonnet":
+		case "anthropic/claude-3.7-sonnet:beta":
+		case "anthropic/claude-3.7-sonnet:thinking":
+		case "anthropic/claude-3-7-sonnet":
+		case "anthropic/claude-3-7-sonnet:beta":
+		case "anthropic/claude-3.5-sonnet":
+		case "anthropic/claude-3.5-sonnet:beta":
+		case "anthropic/claude-3.5-sonnet-20240620":
+		case "anthropic/claude-3.5-sonnet-20240620:beta":
+		case "anthropic/claude-3-5-haiku":
+		case "anthropic/claude-3-5-haiku:beta":
+		case "anthropic/claude-3-5-haiku-20241022":
+		case "anthropic/claude-3-5-haiku-20241022:beta":
+			maxTokens = 8_192
+			break
+	}
+
+	let temperature: number | undefined = 0
+	let topP: number | undefined = undefined
+	if (
+		model.id.startsWith("deepseek/deepseek-r1") ||
+		model.id === "perplexity/sonar-reasoning" ||
+		model.id === "qwen/qwq-32b:free" ||
+		model.id === "qwen/qwq-32b"
+	) {
+		// Recommended values from DeepSeek
+		temperature = 0.7
+		topP = 0.95
+		openAiMessages = convertToR1Format([{ role: "user", content: systemPrompt }, ...messages])
+	}
+
+	let reasoning: { max_tokens: number } | undefined = undefined
+	switch (model.id) {
+		case "anthropic/claude-3.7-sonnet":
+		case "anthropic/claude-3.7-sonnet:beta":
+		case "anthropic/claude-3.7-sonnet:thinking":
+		case "anthropic/claude-3-7-sonnet":
+		case "anthropic/claude-3-7-sonnet:beta":
+			let budget_tokens = thinkingBudgetTokens || 0
+			const reasoningOn = budget_tokens !== 0 ? true : false
+			if (reasoningOn) {
+				temperature = undefined // extended thinking does not support non-1 temperature
+				reasoning = { max_tokens: budget_tokens }
+			}
+			break
+	}
+
+	// Removes messages in the middle when close to context window limit. Should not be applied to models that support prompt caching since it would continuously break the cache.
+	let shouldApplyMiddleOutTransform = !model.info.supportsPromptCache
+	// except for deepseek (which we set supportsPromptCache to true for), where because the context window is so small our truncation algo might miss and we should use openrouter's middle-out transform as a fallback to ensure we don't exceed the context window (FIXME: once we have a more robust token estimator we should not rely on this)
+	if (model.id === "deepseek/deepseek-chat") {
+		shouldApplyMiddleOutTransform = true
+	}
+
+	// @ts-ignore-next-line
+	const stream = await client.chat.completions.create({
+		model: model.id,
+		max_tokens: maxTokens,
+		temperature: temperature,
+		top_p: topP,
+		messages: openAiMessages,
+		stream: true,
+		stream_options: { include_usage: true },
+		transforms: shouldApplyMiddleOutTransform ? ["middle-out"] : undefined,
+		include_reasoning: true,
+		...(model.id === "openai/o3-mini" ? { reasoning_effort: o3MiniReasoningEffort || "medium" } : {}),
+		...(reasoning ? { reasoning } : {}),
+		...(openRouterProviderSorting ? { provider: { sort: openRouterProviderSorting } } : {}),
+	})
+
+	return stream
+}

src/api/transform/r1-format.ts

@@ -0,0 +1,92 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+
+/**
+ * Converts Anthropic messages to OpenAI format and merges consecutive messages with the same role.
+ * This is required for DeepSeek Reasoner which does not support successive messages with the same role.
+ * DeepSeek highly recommends using 'user' role instead of 'system' role for optimal performance.
+ *
+ * @param messages Array of Anthropic messages
+ * @returns Array of OpenAI messages where consecutive messages with the same role are merged together
+ */
+export function convertToR1Format(messages: Anthropic.Messages.MessageParam[]): OpenAI.Chat.ChatCompletionMessageParam[] {
+	return messages.reduce<OpenAI.Chat.ChatCompletionMessageParam[]>((merged, message) => {
+		const lastMessage = merged[merged.length - 1]
+		let messageContent: string | (OpenAI.Chat.ChatCompletionContentPartText | OpenAI.Chat.ChatCompletionContentPartImage)[] =
+			""
+		let hasImages = false
+
+		if (Array.isArray(message.content)) {
+			const textParts: string[] = []
+			const imageParts: OpenAI.Chat.ChatCompletionContentPartImage[] = []
+
+			message.content.forEach((part) => {
+				if (part.type === "text") {
+					textParts.push(part.text)
+				}
+				if (part.type === "image") {
+					hasImages = true
+					imageParts.push({
+						type: "image_url",
+						image_url: { url: `data:${part.source.media_type};base64,${part.source.data}` },
+					})
+				}
+			})
+
+			if (hasImages) {
+				const parts: (OpenAI.Chat.ChatCompletionContentPartText | OpenAI.Chat.ChatCompletionContentPartImage)[] = []
+				if (textParts.length > 0) {
+					parts.push({ type: "text", text: textParts.join("\n") })
+				}
+				parts.push(...imageParts)
+				messageContent = parts
+			} else {
+				messageContent = textParts.join("\n")
+			}
+		} else {
+			messageContent = message.content
+		}
+
+		// If the last message has the same role, merge the content
+		if (lastMessage?.role === message.role) {
+			if (typeof lastMessage.content === "string" && typeof messageContent === "string") {
+				lastMessage.content += `\n${messageContent}`
+			} else {
+				const lastContent = Array.isArray(lastMessage.content)
+					? lastMessage.content
+					: [{ type: "text" as const, text: lastMessage.content || "" }]
+
+				const newContent = Array.isArray(messageContent)
+					? messageContent
+					: [{ type: "text" as const, text: messageContent }]
+
+				if (message.role === "assistant") {
+					const mergedContent = [
+						...lastContent,
+						...newContent,
+					] as OpenAI.Chat.ChatCompletionAssistantMessageParam["content"]
+					lastMessage.content = mergedContent
+				} else {
+					const mergedContent = [...lastContent, ...newContent] as OpenAI.Chat.ChatCompletionUserMessageParam["content"]
+					lastMessage.content = mergedContent
+				}
+			}
+		} else {
+			// Adds new message with the correct type based on role
+			if (message.role === "assistant") {
+				const newMessage: OpenAI.Chat.ChatCompletionAssistantMessageParam = {
+					role: "assistant",
+					content: messageContent as OpenAI.Chat.ChatCompletionAssistantMessageParam["content"],
+				}
+				merged.push(newMessage)
+			} else {
+				const newMessage: OpenAI.Chat.ChatCompletionUserMessageParam = {
+					role: "user",
+					content: messageContent as OpenAI.Chat.ChatCompletionUserMessageParam["content"],
+				}
+				merged.push(newMessage)
+			}
+		}
+		return merged
+	}, [])
+}

src/api/transform/stream.ts

@@ -1,11 +1,16 @@
 export type ApiStream = AsyncGenerator<ApiStreamChunk>
-export type ApiStreamChunk = ApiStreamTextChunk | ApiStreamUsageChunk
+export type ApiStreamChunk = ApiStreamTextChunk | ApiStreamReasoningChunk | ApiStreamUsageChunk
 
 export interface ApiStreamTextChunk {
 	type: "text"
 	text: string
 }
 
+export interface ApiStreamReasoningChunk {
+	type: "reasoning"
+	reasoning: string
+}
+
 export interface ApiStreamUsageChunk {
 	type: "usage"
 	inputTokens: number

src/api/transform/vscode-lm-format.ts

@@ -175,6 +175,7 @@ export async function convertToAnthropicMessage(
 					return {
 						type: "text",
 						text: part.value,
+						citations: null,
 					}
 				}
 
@@ -195,6 +196,8 @@ export async function convertToAnthropicMessage(
 		usage: {
 			input_tokens: 0,
 			output_tokens: 0,
+			cache_creation_input_tokens: null,
+			cache_read_input_tokens: null,
 		},
 	}
 }

src/core/assistant-message/index.ts

@@ -45,6 +45,7 @@ export const toolParamNames = [
 	"arguments",
 	"uri",
 	"question",
+	"options",
 	"response",
 	"result",
 ] as const
@@ -58,64 +59,3 @@ export interface ToolUse {
 	params: Partial<Record<ToolParamName, string>>
 	partial: boolean
 }
-
-export interface ExecuteCommandToolUse extends ToolUse {
-	name: "execute_command"
-	// Pick<Record<ToolParamName, string>, "command"> makes "command" required, but Partial<> makes it optional
-	params: Partial<Pick<Record<ToolParamName, string>, "command" | "requires_approval">>
-}
-
-export interface ReadFileToolUse extends ToolUse {
-	name: "read_file"
-	params: Partial<Pick<Record<ToolParamName, string>, "path">>
-}
-
-export interface WriteToFileToolUse extends ToolUse {
-	name: "write_to_file"
-	params: Partial<Pick<Record<ToolParamName, string>, "path" | "content">>
-}
-
-export interface ReplaceInFileToolUse extends ToolUse {
-	name: "replace_in_file"
-	params: Partial<Pick<Record<ToolParamName, string>, "path" | "diff">>
-}
-
-export interface SearchFilesToolUse extends ToolUse {
-	name: "search_files"
-	params: Partial<Pick<Record<ToolParamName, string>, "path" | "regex" | "file_pattern">>
-}
-
-export interface ListFilesToolUse extends ToolUse {
-	name: "list_files"
-	params: Partial<Pick<Record<ToolParamName, string>, "path" | "recursive">>
-}
-
-export interface ListCodeDefinitionNamesToolUse extends ToolUse {
-	name: "list_code_definition_names"
-	params: Partial<Pick<Record<ToolParamName, string>, "path">>
-}
-
-export interface BrowserActionToolUse extends ToolUse {
-	name: "browser_action"
-	params: Partial<Pick<Record<ToolParamName, string>, "action" | "url" | "coordinate" | "text">>
-}
-
-export interface UseMcpToolToolUse extends ToolUse {
-	name: "use_mcp_tool"
-	params: Partial<Pick<Record<ToolParamName, string>, "server_name" | "tool_name" | "arguments">>
-}
-
-export interface AccessMcpResourceToolUse extends ToolUse {
-	name: "access_mcp_resource"
-	params: Partial<Pick<Record<ToolParamName, string>, "server_name" | "uri">>
-}
-
-export interface AskFollowupQuestionToolUse extends ToolUse {
-	name: "ask_followup_question"
-	params: Partial<Pick<Record<ToolParamName, string>, "question">>
-}
-
-export interface AttemptCompletionToolUse extends ToolUse {
-	name: "attempt_completion"
-	params: Partial<Pick<Record<ToolParamName, string>, "result" | "command">>
-}

src/core/context-management/ContextManager.test.ts

@@ -0,0 +1,155 @@
+import { ContextManager } from "./ContextManager"
+import { Anthropic } from "@anthropic-ai/sdk"
+import { expect } from "chai"
+
+describe("ContextManager", () => {
+	function createMessages(count: number): Anthropic.Messages.MessageParam[] {
+		const messages: Anthropic.Messages.MessageParam[] = []
+
+		messages.push({
+			role: "user",
+			content: "Initial task message",
+		})
+
+		let role: "user" | "assistant" = "assistant"
+		for (let i = 1; i < count; i++) {
+			messages.push({
+				role,
+				content: `Message ${i}`,
+			})
+			role = role === "user" ? "assistant" : "user"
+		}
+
+		return messages
+	}
+
+	describe("getNextTruncationRange", () => {
+		let contextManager: ContextManager
+
+		beforeEach(() => {
+			contextManager = new ContextManager()
+		})
+
+		it("first truncation with half keep", () => {
+			const messages = createMessages(11)
+			const result = contextManager.getNextTruncationRange(messages)
+
+			expect(result).to.deep.equal([1, 4])
+		})
+
+		it("first truncation with quarter keep", () => {
+			const messages = createMessages(11)
+			const result = contextManager.getNextTruncationRange(messages, undefined, "quarter")
+
+			expect(result).to.deep.equal([1, 6])
+		})
+
+		it("sequential truncation with half keep", () => {
+			const messages = createMessages(21)
+			const firstRange = contextManager.getNextTruncationRange(messages)
+			expect(firstRange).to.deep.equal([1, 10])
+
+			// Pass the previous range for sequential truncation
+			const secondRange = contextManager.getNextTruncationRange(messages, firstRange)
+			expect(secondRange).to.deep.equal([1, 14])
+		})
+
+		it("sequential truncation with quarter keep", () => {
+			const messages = createMessages(41)
+			const firstRange = contextManager.getNextTruncationRange(messages, undefined, "quarter")
+
+			const secondRange = contextManager.getNextTruncationRange(messages, firstRange, "quarter")
+
+			expect(secondRange[0]).to.equal(1)
+			expect(secondRange[1]).to.be.greaterThan(firstRange[1])
+		})
+
+		it("ensures the last message in range is a user message", () => {
+			const messages = createMessages(14)
+			const result = contextManager.getNextTruncationRange(messages)
+
+			// Check if the message at the end of range is a user message
+			const lastRemovedMessage = messages[result[1]]
+			expect(lastRemovedMessage.role).to.equal("user")
+
+			// Check if the next message after the range is an assistant message
+			const nextMessage = messages[result[1] + 1]
+			expect(nextMessage.role).to.equal("assistant")
+		})
+
+		it("handles small message arrays", () => {
+			const messages = createMessages(3)
+			const result = contextManager.getNextTruncationRange(messages)
+
+			expect(result).to.deep.equal([1, 0])
+		})
+
+		it("preserves the message structure when truncating", () => {
+			const messages = createMessages(20)
+			const result = contextManager.getNextTruncationRange(messages)
+
+			// Get messages after removing the range
+			const effectiveMessages = [...messages.slice(0, result[0]), ...messages.slice(result[1] + 1)]
+
+			// Check first message and alternating pattern
+			expect(effectiveMessages[0].role).to.equal("user")
+			for (let i = 1; i < effectiveMessages.length; i++) {
+				const expectedRole = i % 2 === 1 ? "assistant" : "user"
+				expect(effectiveMessages[i].role).to.equal(expectedRole)
+			}
+		})
+	})
+
+	describe("getTruncatedMessages", () => {
+		let contextManager: ContextManager
+
+		beforeEach(() => {
+			contextManager = new ContextManager()
+		})
+
+		it("returns original messages when no range is provided", () => {
+			const messages = createMessages(3)
+
+			const result = contextManager.getTruncatedMessages(messages, undefined)
+			expect(result).to.deep.equal(messages)
+		})
+
+		it("correctly removes messages in the specified range", () => {
+			const messages = createMessages(5)
+
+			const range: [number, number] = [1, 3]
+			const result = contextManager.getTruncatedMessages(messages, range)
+
+			expect(result).to.have.lengthOf(2)
+			expect(result[0]).to.deep.equal(messages[0])
+			expect(result[1]).to.deep.equal(messages[4])
+		})
+
+		it("works with a range that starts at the first message after task", () => {
+			const messages = createMessages(4)
+
+			const range: [number, number] = [1, 2]
+			const result = contextManager.getTruncatedMessages(messages, range)
+
+			expect(result).to.have.lengthOf(2)
+			expect(result[0]).to.deep.equal(messages[0])
+			expect(result[1]).to.deep.equal(messages[3])
+		})
+
+		it("correctly handles removing a range while preserving alternation pattern", () => {
+			const messages = createMessages(5)
+
+			const range: [number, number] = [1, 2]
+			const result = contextManager.getTruncatedMessages(messages, range)
+
+			expect(result).to.have.lengthOf(3)
+			expect(result[0]).to.deep.equal(messages[0])
+			expect(result[1]).to.deep.equal(messages[3])
+			expect(result[2]).to.deep.equal(messages[4])
+
+			expect(result[0].role).to.equal("user")
+			expect(result[1].role).to.equal("assistant")
+			expect(result[2].role).to.equal("user")
+		})
+	})
+})

src/core/context-management/ContextManager.ts

@@ -0,0 +1,120 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import { ClineApiReqInfo, ClineMessage } from "../../shared/ExtensionMessage"
+import { ApiHandler } from "../../api"
+import { OpenAiHandler } from "../../api/providers/openai"
+
+export class ContextManager {
+	getNewContextMessagesAndMetadata(
+		apiConversationHistory: Anthropic.Messages.MessageParam[],
+		clineMessages: ClineMessage[],
+		api: ApiHandler,
+		conversationHistoryDeletedRange: [number, number] | undefined,
+		previousApiReqIndex: number,
+	) {
+		let updatedConversationHistoryDeletedRange = false
+
+		// If the previous API request's total token usage is close to the context window, truncate the conversation history to free up space for the new request
+		if (previousApiReqIndex >= 0) {
+			const previousRequest = clineMessages[previousApiReqIndex]
+			if (previousRequest && previousRequest.text) {
+				const { tokensIn, tokensOut, cacheWrites, cacheReads }: ClineApiReqInfo = JSON.parse(previousRequest.text)
+				const totalTokens = (tokensIn || 0) + (tokensOut || 0) + (cacheWrites || 0) + (cacheReads || 0)
+				let contextWindow = api.getModel().info.contextWindow || 128_000
+				// FIXME: hack to get anyone using openai compatible with deepseek to have the proper context window instead of the default 128k. We need a way for the user to specify the context window for models they input through openai compatible
+				if (api instanceof OpenAiHandler && api.getModel().id.toLowerCase().includes("deepseek")) {
+					contextWindow = 64_000
+				}
+				let maxAllowedSize: number
+				switch (contextWindow) {
+					case 64_000: // deepseek models
+						maxAllowedSize = contextWindow - 27_000
+						break
+					case 128_000: // most models
+						maxAllowedSize = contextWindow - 30_000
+						break
+					case 200_000: // claude models
+						maxAllowedSize = contextWindow - 40_000
+						break
+					default:
+						maxAllowedSize = Math.max(contextWindow - 40_000, contextWindow * 0.8) // for deepseek, 80% of 64k meant only ~10k buffer which was too small and resulted in users getting context window errors.
+				}
+
+				// This is the most reliable way to know when we're close to hitting the context window.
+				if (totalTokens >= maxAllowedSize) {
+					// Since the user may switch between models with different context windows, truncating half may not be enough (ie if switching from claude 200k to deepseek 64k, half truncation will only remove 100k tokens, but we need to remove much more)
+					// So if totalTokens/2 is greater than maxAllowedSize, we truncate 3/4 instead of 1/2
+					// FIXME: truncating the conversation in a way that is optimal for prompt caching AND takes into account multi-context window complexity is something we need to improve
+					const keep = totalTokens / 2 > maxAllowedSize ? "quarter" : "half"
+
+					// NOTE: it's okay that we overwriteConversationHistory in resume task since we're only ever removing the last user message and not anything in the middle which would affect this range
+					conversationHistoryDeletedRange = this.getNextTruncationRange(
+						apiConversationHistory,
+						conversationHistoryDeletedRange,
+						keep,
+					)
+
+					updatedConversationHistoryDeletedRange = true
+				}
+			}
+		}
+
+		// conversationHistoryDeletedRange is updated only when we're close to hitting the context window, so we don't continuously break the prompt cache
+		const truncatedConversationHistory = this.getTruncatedMessages(apiConversationHistory, conversationHistoryDeletedRange)
+
+		return {
+			conversationHistoryDeletedRange: conversationHistoryDeletedRange,
+			updatedConversationHistoryDeletedRange: updatedConversationHistoryDeletedRange,
+			truncatedConversationHistory: truncatedConversationHistory,
+		}
+	}
+
+	public getNextTruncationRange(
+		apiMessages: Anthropic.Messages.MessageParam[],
+		currentDeletedRange: [number, number] | undefined,
+		keep: "half" | "quarter",
+	): [number, number] {
+		// Since we always keep the first message, currentDeletedRange[0] will always be 1 (for now until we have a smarter truncation algorithm)
+		const rangeStartIndex = 1
+		const startOfRest = currentDeletedRange ? currentDeletedRange[1] + 1 : 1
+
+		let messagesToRemove: number
+		if (keep === "half") {
+			// Remove half of remaining user-assistant pairs
+			// We first calculate half of the messages then divide by 2 to get the number of pairs.
+			// After flooring, we multiply by 2 to get the number of messages.
+			// Note that this will also always be an even number.
+			messagesToRemove = Math.floor((apiMessages.length - startOfRest) / 4) * 2 // Keep even number
+		} else {
+			// Remove 3/4 of remaining user-assistant pairs
+			// We calculate 3/4ths of the messages then divide by 2 to get the number of pairs.
+			// After flooring, we multiply by 2 to get the number of messages.
+			// Note that this will also always be an even number.
+			messagesToRemove = Math.floor(((apiMessages.length - startOfRest) * 3) / 4 / 2) * 2
+		}
+
+		let rangeEndIndex = startOfRest + messagesToRemove - 1
+
+		// Make sure the last message being removed is a user message, so that the next message after the initial task message is an assistant message. This preservers the user-assistant-user-assistant structure.
+		// NOTE: anthropic format messages are always user-assistant-user-assistant, while openai format messages can have multiple user messages in a row (we use anthropic format throughout cline)
+		if (apiMessages[rangeEndIndex].role !== "user") {
+			rangeEndIndex -= 1
+		}
+
+		// this is an inclusive range that will be removed from the conversation history
+		return [rangeStartIndex, rangeEndIndex]
+	}
+
+	public getTruncatedMessages(
+		messages: Anthropic.Messages.MessageParam[],
+		deletedRange: [number, number] | undefined,
+	): Anthropic.Messages.MessageParam[] {
+		if (!deletedRange) {
+			return messages
+		}
+
+		const [start, end] = deletedRange
+		// the range is inclusive - both start and end indices and everything in between will be removed from the final result.
+		// NOTE: if you try to console log these, don't forget that logging a reference to an array may not provide the same result as logging a slice() snapshot of that array at that exact moment. The following DOES in fact include the latest assistant message.
+		return [...messages.slice(0, start), ...messages.slice(end + 1)]
+	}
+}

src/core/context-management/context-error-handling.ts

@@ -0,0 +1,10 @@
+export function checkIsOpenRouterContextWindowError(error: any): boolean {
+	return error.code === 400 && error.message?.includes("context length")
+}
+
+export function checkIsAnthropicContextWindowError(response: any): boolean {
+	return (
+		response?.error?.error?.type === "invalid_request_error" &&
+		response?.error?.error?.message?.includes("prompt is too long")
+	)
+}

src/core/ignore/ClineIgnoreController.test.ts

@@ -0,0 +1,245 @@
+import { ClineIgnoreController } from "./ClineIgnoreController"
+import fs from "fs/promises"
+import path from "path"
+import os from "os"
+import { after, beforeEach, describe, it } from "mocha"
+import "should"
+
+describe("ClineIgnoreController", () => {
+	let tempDir: string
+	let controller: ClineIgnoreController
+
+	beforeEach(async () => {
+		// Create a temp directory for testing
+		tempDir = path.join(os.tmpdir(), `llm-test-${Date.now()}-${Math.random().toString(36).slice(2)}`)
+		await fs.mkdir(tempDir)
+
+		// Create default .clineignore file
+		await fs.writeFile(
+			path.join(tempDir, ".clineignore"),
+			[".env", "*.secret", "private/", "# This is a comment", "", "temp.*", "file-with-space-at-end.* ", "**/.git/**"].join(
+				"\n",
+			),
+		)
+
+		controller = new ClineIgnoreController(tempDir)
+		await controller.initialize()
+	})
+
+	after(async () => {
+		// Clean up temp directory
+		await fs.rm(tempDir, { recursive: true, force: true })
+	})
+
+	describe("Default Patterns", () => {
+		// it("should block access to common ignored files", async () => {
+		// 	const results = [
+		// 		controller.validateAccess(".env"),
+		// 		controller.validateAccess(".git/config"),
+		// 		controller.validateAccess("node_modules/package.json"),
+		// 	]
+		// 	results.forEach((result) => result.should.be.false())
+		// })
+
+		it("should allow access to regular files", async () => {
+			const results = [
+				controller.validateAccess("src/index.ts"),
+				controller.validateAccess("README.md"),
+				controller.validateAccess("package.json"),
+			]
+			results.forEach((result) => result.should.be.true())
+		})
+
+		it("should block access to .clineignore file", async () => {
+			const result = controller.validateAccess(".clineignore")
+			result.should.be.false()
+		})
+	})
+
+	describe("Custom Patterns", () => {
+		it("should block access to custom ignored patterns", async () => {
+			const results = [
+				controller.validateAccess("config.secret"),
+				controller.validateAccess("private/data.txt"),
+				controller.validateAccess("temp.json"),
+				controller.validateAccess("nested/deep/file.secret"),
+				controller.validateAccess("private/nested/deep/file.txt"),
+			]
+			results.forEach((result) => result.should.be.false())
+		})
+
+		it("should allow access to non-ignored files", async () => {
+			const results = [
+				controller.validateAccess("public/data.txt"),
+				controller.validateAccess("config.json"),
+				controller.validateAccess("src/temp/file.ts"),
+				controller.validateAccess("nested/deep/file.txt"),
+				controller.validateAccess("not-private/data.txt"),
+			]
+			results.forEach((result) => result.should.be.true())
+		})
+
+		it("should handle pattern edge cases", async () => {
+			await fs.writeFile(
+				path.join(tempDir, ".clineignore"),
+				["*.secret", "private/", "*.tmp", "data-*.json", "temp/*"].join("\n"),
+			)
+
+			controller = new ClineIgnoreController(tempDir)
+			await controller.initialize()
+
+			const results = [
+				controller.validateAccess("data-123.json"), // Should be false (wildcard)
+				controller.validateAccess("data.json"), // Should be true (doesn't match pattern)
+				controller.validateAccess("script.tmp"), // Should be false (extension match)
+			]
+
+			results[0].should.be.false() // data-123.json
+			results[1].should.be.true() // data.json
+			results[2].should.be.false() // script.tmp
+		})
+
+		// ToDo: handle negation patterns successfully
+
+		// it("should handle negation patterns", async () => {
+		// 	await fs.writeFile(
+		// 		path.join(tempDir, ".clineignore"),
+		// 		[
+		// 			"temp/*", // Ignore everything in temp
+		// 			"!temp/allowed/*", // But allow files in temp/allowed
+		// 			"docs/**/*.md", // Ignore all markdown files in docs
+		// 			"!docs/README.md", // Except README.md
+		// 			"!docs/CONTRIBUTING.md", // And CONTRIBUTING.md
+		// 			"assets/", // Ignore all assets
+		// 			"!assets/public/", // Except public assets
+		// 			"!assets/public/*.png", // Specifically allow PNGs in public assets
+		// 		].join("\n"),
+		// 	)
+
+		// 	controller = new ClineIgnoreController(tempDir)
+
+		// 	const results = [
+		// 		// Basic negation
+		// 		controller.validateAccess("temp/file.txt"), // Should be false (in temp/)
+		// 		controller.validateAccess("temp/allowed/file.txt"), // Should be true (negated)
+		// 		controller.validateAccess("temp/allowed/nested/file.txt"), // Should be true (negated with nested)
+
+		// 		// Multiple negations in same path
+		// 		controller.validateAccess("docs/guide.md"), // Should be false (matches docs/**/*.md)
+		// 		controller.validateAccess("docs/README.md"), // Should be true (negated)
+		// 		controller.validateAccess("docs/CONTRIBUTING.md"), // Should be true (negated)
+		// 		controller.validateAccess("docs/api/guide.md"), // Should be false (nested markdown)
+
+		// 		// Nested negations
+		// 		controller.validateAccess("assets/logo.png"), // Should be false (in assets/)
+		// 		controller.validateAccess("assets/public/logo.png"), // Should be true (negated and matches *.png)
+		// 		controller.validateAccess("assets/public/data.json"), // Should be true (in negated public/)
+		// 	]
+
+		// 	results[0].should.be.false() // temp/file.txt
+		// 	results[1].should.be.true() // temp/allowed/file.txt
+		// 	results[2].should.be.true() // temp/allowed/nested/file.txt
+		// 	results[3].should.be.false() // docs/guide.md
+		// 	results[4].should.be.true() // docs/README.md
+		// 	results[5].should.be.true() // docs/CONTRIBUTING.md
+		// 	results[6].should.be.false() // docs/api/guide.md
+		// 	results[7].should.be.false() // assets/logo.png
+		// 	results[8].should.be.true() // assets/public/logo.png
+		// 	results[9].should.be.true() // assets/public/data.json
+		// })
+
+		it("should handle comments in .clineignore", async () => {
+			// Create a new .clineignore with comments
+			await fs.writeFile(
+				path.join(tempDir, ".clineignore"),
+				["# Comment line", "*.secret", "private/", "temp.*"].join("\n"),
+			)
+
+			controller = new ClineIgnoreController(tempDir)
+			await controller.initialize()
+
+			const result = controller.validateAccess("test.secret")
+			result.should.be.false()
+		})
+	})
+
+	describe("Path Handling", () => {
+		it("should handle absolute paths and match ignore patterns", async () => {
+			// Test absolute path that should be allowed
+			const allowedPath = path.join(tempDir, "src/file.ts")
+			const allowedResult = controller.validateAccess(allowedPath)
+			allowedResult.should.be.true()
+
+			// Test absolute path that matches an ignore pattern (*.secret)
+			const ignoredPath = path.join(tempDir, "config.secret")
+			const ignoredResult = controller.validateAccess(ignoredPath)
+			ignoredResult.should.be.false()
+
+			// Test absolute path in ignored directory (private/)
+			const ignoredDirPath = path.join(tempDir, "private/data.txt")
+			const ignoredDirResult = controller.validateAccess(ignoredDirPath)
+			ignoredDirResult.should.be.false()
+		})
+
+		it("should handle relative paths and match ignore patterns", async () => {
+			// Test relative path that should be allowed
+			const allowedResult = controller.validateAccess("./src/file.ts")
+			allowedResult.should.be.true()
+
+			// Test relative path that matches an ignore pattern (*.secret)
+			const ignoredResult = controller.validateAccess("./config.secret")
+			ignoredResult.should.be.false()
+
+			// Test relative path in ignored directory (private/)
+			const ignoredDirResult = controller.validateAccess("./private/data.txt")
+			ignoredDirResult.should.be.false()
+		})
+
+		it("should normalize paths with backslashes", async () => {
+			const result = controller.validateAccess("src\\file.ts")
+			result.should.be.true()
+		})
+	})
+
+	describe("Batch Filtering", () => {
+		it("should filter an array of paths", async () => {
+			const paths = ["src/index.ts", ".env", "lib/utils.ts", ".git/config", "dist/bundle.js"]
+
+			const filtered = controller.filterPaths(paths)
+			filtered.should.deepEqual(["src/index.ts", "lib/utils.ts", "dist/bundle.js"])
+		})
+	})
+
+	describe("Error Handling", () => {
+		it("should handle invalid paths", async () => {
+			// Test with an invalid path containing null byte
+			const result = controller.validateAccess("\0invalid")
+			result.should.be.true()
+		})
+
+		it("should handle missing .clineignore gracefully", async () => {
+			// Create a new controller in a directory without .clineignore
+			const emptyDir = path.join(os.tmpdir(), `llm-test-empty-${Date.now()}`)
+			await fs.mkdir(emptyDir)
+
+			try {
+				const controller = new ClineIgnoreController(emptyDir)
+				await controller.initialize()
+				const result = controller.validateAccess("file.txt")
+				result.should.be.true()
+			} finally {
+				await fs.rm(emptyDir, { recursive: true, force: true })
+			}
+		})
+
+		it("should handle empty .clineignore", async () => {
+			await fs.writeFile(path.join(tempDir, ".clineignore"), "")
+
+			controller = new ClineIgnoreController(tempDir)
+			await controller.initialize()
+
+			const result = controller.validateAccess("regular-file.txt")
+			result.should.be.true()
+		})
+	})
+})

src/core/ignore/ClineIgnoreController.ts

@@ -0,0 +1,189 @@
+import path from "path"
+import { fileExistsAtPath } from "../../utils/fs"
+import fs from "fs/promises"
+import ignore, { Ignore } from "ignore"
+import * as vscode from "vscode"
+
+export const LOCK_TEXT_SYMBOL = "\u{1F512}"
+
+/**
+ * Controls LLM access to files by enforcing ignore patterns.
+ * Designed to be instantiated once in Cline.ts and passed to file manipulation services.
+ * Uses the 'ignore' library to support standard .gitignore syntax in .clineignore files.
+ */
+export class ClineIgnoreController {
+	private cwd: string
+	private ignoreInstance: Ignore
+	private disposables: vscode.Disposable[] = []
+	clineIgnoreContent: string | undefined
+
+	constructor(cwd: string) {
+		this.cwd = cwd
+		this.ignoreInstance = ignore()
+		this.clineIgnoreContent = undefined
+		// Set up file watcher for .clineignore
+		this.setupFileWatcher()
+	}
+
+	/**
+	 * Initialize the controller by loading custom patterns
+	 * Must be called after construction and before using the controller
+	 */
+	async initialize(): Promise<void> {
+		await this.loadClineIgnore()
+	}
+
+	/**
+	 * Set up the file watcher for .clineignore changes
+	 */
+	private setupFileWatcher(): void {
+		const clineignorePattern = new vscode.RelativePattern(this.cwd, ".clineignore")
+		const fileWatcher = vscode.workspace.createFileSystemWatcher(clineignorePattern)
+
+		// Watch for changes and updates
+		this.disposables.push(
+			fileWatcher.onDidChange(() => {
+				this.loadClineIgnore()
+			}),
+			fileWatcher.onDidCreate(() => {
+				this.loadClineIgnore()
+			}),
+			fileWatcher.onDidDelete(() => {
+				this.loadClineIgnore()
+			}),
+		)
+
+		// Add fileWatcher itself to disposables
+		this.disposables.push(fileWatcher)
+	}
+
+	/**
+	 * Load custom patterns from .clineignore if it exists
+	 */
+	private async loadClineIgnore(): Promise<void> {
+		try {
+			// Reset ignore instance to prevent duplicate patterns
+			this.ignoreInstance = ignore()
+			const ignorePath = path.join(this.cwd, ".clineignore")
+			if (await fileExistsAtPath(ignorePath)) {
+				const content = await fs.readFile(ignorePath, "utf8")
+				this.clineIgnoreContent = content
+				this.ignoreInstance.add(content)
+				this.ignoreInstance.add(".clineignore")
+			} else {
+				this.clineIgnoreContent = undefined
+			}
+		} catch (error) {
+			// Should never happen: reading file failed even though it exists
+			console.error("Unexpected error loading .clineignore:", error)
+		}
+	}
+
+	/**
+	 * Check if a file should be accessible to the LLM
+	 * @param filePath - Path to check (relative to cwd)
+	 * @returns true if file is accessible, false if ignored
+	 */
+	validateAccess(filePath: string): boolean {
+		// Always allow access if .clineignore does not exist
+		if (!this.clineIgnoreContent) {
+			return true
+		}
+		try {
+			// Normalize path to be relative to cwd and use forward slashes
+			const absolutePath = path.resolve(this.cwd, filePath)
+			const relativePath = path.relative(this.cwd, absolutePath).toPosix()
+
+			// Ignore expects paths to be path.relative()'d
+			return !this.ignoreInstance.ignores(relativePath)
+		} catch (error) {
+			// console.error(`Error validating access for ${filePath}:`, error)
+			// Ignore is designed to work with relative file paths, so will throw error for paths outside cwd. We are allowing access to all files outside cwd.
+			return true
+		}
+	}
+
+	/**
+	 * Check if a terminal command should be allowed to execute based on file access patterns
+	 * @param command - Terminal command to validate
+	 * @returns path of file that is being accessed if it is being accessed, undefined if command is allowed
+	 */
+	validateCommand(command: string): string | undefined {
+		// Always allow if no .clineignore exists
+		if (!this.clineIgnoreContent) {
+			return undefined
+		}
+
+		// Split command into parts and get the base command
+		const parts = command.trim().split(/\s+/)
+		const baseCommand = parts[0].toLowerCase()
+
+		// Commands that read file contents
+		const fileReadingCommands = [
+			// Unix commands
+			"cat",
+			"less",
+			"more",
+			"head",
+			"tail",
+			"grep",
+			"awk",
+			"sed",
+			// PowerShell commands and aliases
+			"get-content",
+			"gc",
+			"type",
+			"select-string",
+			"sls",
+		]
+
+		if (fileReadingCommands.includes(baseCommand)) {
+			// Check each argument that could be a file path
+			for (let i = 1; i < parts.length; i++) {
+				const arg = parts[i]
+				// Skip command flags/options (both Unix and PowerShell style)
+				if (arg.startsWith("-") || arg.startsWith("/")) {
+					continue
+				}
+				// Ignore PowerShell parameter names
+				if (arg.includes(":")) {
+					continue
+				}
+				// Validate file access
+				if (!this.validateAccess(arg)) {
+					return arg
+				}
+			}
+		}
+
+		return undefined
+	}
+
+	/**
+	 * Filter an array of paths, removing those that should be ignored
+	 * @param paths - Array of paths to filter (relative to cwd)
+	 * @returns Array of allowed paths
+	 */
+	filterPaths(paths: string[]): string[] {
+		try {
+			return paths
+				.map((p) => ({
+					path: p,
+					allowed: this.validateAccess(p),
+				}))
+				.filter((x) => x.allowed)
+				.map((x) => x.path)
+		} catch (error) {
+			console.error("Error filtering paths:", error)
+			return [] // Fail closed for security
+		}
+	}
+
+	/**
+	 * Clean up resources when the controller is no longer needed
+	 */
+	dispose(): void {
+		this.disposables.forEach((d) => d.dispose())
+		this.disposables = []
+	}
+}

src/core/mentions/index.ts

@@ -7,27 +7,32 @@ import fs from "fs/promises"
 import { extractTextFromFile } from "../../integrations/misc/extract-text"
 import { isBinaryFile } from "isbinaryfile"
 import { diagnosticsToProblemsString } from "../../integrations/diagnostics"
+import { getLatestTerminalOutput } from "../../integrations/terminal/get-latest-output"
+import { getCommitInfo } from "../../utils/git"
+import { getWorkingState } from "../../utils/git"
 
 export function openMention(mention?: string): void {
 	if (!mention) {
 		return
 	}
 
+	const cwd = vscode.workspace.workspaceFolders?.map((folder) => folder.uri.fsPath).at(0)
+	if (!cwd) {
+		return
+	}
+
 	if (mention.startsWith("/")) {
 		const relPath = mention.slice(1)
-		const cwd = vscode.workspace.workspaceFolders?.map((folder) => folder.uri.fsPath).at(0)
-		if (!cwd) {
-			return
-		}
 		const absPath = path.resolve(cwd, relPath)
 		if (mention.endsWith("/")) {
 			vscode.commands.executeCommand("revealInExplorer", vscode.Uri.file(absPath))
-			// vscode.commands.executeCommand("vscode.openFolder", , { forceNewWindow: false }) opens in new window
 		} else {
 			openFile(absPath)
 		}
 	} else if (mention === "problems") {
 		vscode.commands.executeCommand("workbench.actions.view.problems")
+	} else if (mention === "terminal") {
+		vscode.commands.executeCommand("workbench.action.terminal.focus")
 	} else if (mention.startsWith("http")) {
 		vscode.env.openExternal(vscode.Uri.parse(mention))
 	}
@@ -46,6 +51,12 @@ export async function parseMentions(text: string, cwd: string, urlContentFetcher
 				: `'${mentionPath}' (see below for file content)`
 		} else if (mention === "problems") {
 			return `Workspace Problems (see below for diagnostics)`
+		} else if (mention === "terminal") {
+			return `Terminal Output (see below for output)`
+		} else if (mention === "git-changes") {
+			return `Working directory changes (see below for details)`
+		} else if (/^[a-f0-9]{7,40}$/.test(mention)) {
+			return `Git commit '${mention}' (see below for commit info)`
 		}
 		return match
 	})
@@ -61,7 +72,10 @@ export async function parseMentions(text: string, cwd: string, urlContentFetcher
 		}
 	}
 
-	for (const mention of mentions) {
+	// Filter out duplicate mentions while preserving order
+	const uniqueMentions = Array.from(new Set(mentions))
+
+	for (const mention of uniqueMentions) {
 		if (mention.startsWith("http")) {
 			let result: string
 			if (launchBrowserError) {
@@ -99,6 +113,27 @@ export async function parseMentions(text: string, cwd: string, urlContentFetcher
 			} catch (error) {
 				parsedText += `\n\n<workspace_diagnostics>\nError fetching diagnostics: ${error.message}\n</workspace_diagnostics>`
 			}
+		} else if (mention === "terminal") {
+			try {
+				const terminalOutput = await getLatestTerminalOutput()
+				parsedText += `\n\n<terminal_output>\n${terminalOutput}\n</terminal_output>`
+			} catch (error) {
+				parsedText += `\n\n<terminal_output>\nError fetching terminal output: ${error.message}\n</terminal_output>`
+			}
+		} else if (mention === "git-changes") {
+			try {
+				const workingState = await getWorkingState(cwd)
+				parsedText += `\n\n<git_working_state>\n${workingState}\n</git_working_state>`
+			} catch (error) {
+				parsedText += `\n\n<git_working_state>\nError fetching working state: ${error.message}\n</git_working_state>`
+			}
+		} else if (/^[a-f0-9]{7,40}$/.test(mention)) {
+			try {
+				const commitInfo = await getCommitInfo(mention, cwd)
+				parsedText += `\n\n<git_commit hash="${mention}">\n${commitInfo}\n</git_commit>`
+			} catch (error) {
+				parsedText += `\n\n<git_commit hash="${mention}">\nError fetching commit info: ${error.message}\n</git_commit>`
+			}
 		}
 	}
 

src/core/prompts/responses.ts

@@ -1,15 +1,16 @@
 import { Anthropic } from "@anthropic-ai/sdk"
-import * as path from "path"
 import * as diff from "diff"
+import * as path from "path"
+import { ClineIgnoreController, LOCK_TEXT_SYMBOL } from "../ignore/ClineIgnoreController"
 
 export const formatResponse = {
 	toolDenied: () => `The user denied this operation.`,
 
-	toolDeniedWithFeedback: (feedback?: string) =>
-		`The user denied this operation and provided the following feedback:\n<feedback>\n${feedback}\n</feedback>`,
-
 	toolError: (error?: string) => `The tool execution failed with the following error:\n<error>\n${error}\n</error>`,
 
+	clineIgnoreError: (path: string) =>
+		`Access to ${path} is blocked by the .clineignore file settings. You must try to continue in the task without using this file, or ask the user to update the .clineignore file.`,
+
 	noToolsUsed: () =>
 		`[ERROR] You did not use a tool in your previous response! Please retry with a tool use.
 
@@ -46,7 +47,12 @@ Otherwise, if you have not completed the task and do not need additional informa
 		return formatImagesIntoBlocks(images)
 	},
 
-	formatFilesList: (absolutePath: string, files: string[], didHitLimit: boolean): string => {
+	formatFilesList: (
+		absolutePath: string,
+		files: string[],
+		didHitLimit: boolean,
+		clineIgnoreController?: ClineIgnoreController,
+	): string => {
 		const sorted = files
 			.map((file) => {
 				// convert absolute path to relative path
@@ -77,14 +83,30 @@ Otherwise, if you have not completed the task and do not need additional informa
 				// the shorter one comes first
 				return aParts.length - bParts.length
 			})
+
+		const clineIgnoreParsed = clineIgnoreController
+			? sorted.map((filePath) => {
+					// path is relative to absolute path, not cwd
+					// validateAccess expects either path relative to cwd or absolute path
+					// otherwise, for validating against ignore patterns like "assets/icons", we would end up with just "icons", which would result in the path not being ignored.
+					const absoluteFilePath = path.resolve(absolutePath, filePath)
+					const isIgnored = !clineIgnoreController.validateAccess(absoluteFilePath)
+					if (isIgnored) {
+						return LOCK_TEXT_SYMBOL + " " + filePath
+					}
+
+					return filePath
+				})
+			: sorted
+
 		if (didHitLimit) {
-			return `${sorted.join(
+			return `${clineIgnoreParsed.join(
 				"\n",
 			)}\n\n(File list truncated. Use list_files on specific subdirectories if you need to explore further.)`
-		} else if (sorted.length === 0 || (sorted.length === 1 && sorted[0] === "")) {
+		} else if (clineIgnoreParsed.length === 0 || (clineIgnoreParsed.length === 1 && clineIgnoreParsed[0] === "")) {
 			return "No files found."
 		} else {
-			return sorted.join("\n")
+			return clineIgnoreParsed.join("\n")
 		}
 	},
 

src/core/prompts/system.ts

@@ -1,4 +1,4 @@
-import defaultShell from "default-shell"
+import { getShell } from "../../utils/shell"
 import os from "os"
 import osName from "os-name"
 import { McpHub } from "../../services/mcp/McpHub"
@@ -38,7 +38,7 @@ Always adhere to this format for the tool use to ensure proper parsing and execu
 # Tools
 
 ## execute_command
-Description: Request to execute a CLI command on the system. Use this when you need to perform system operations or run specific commands to accomplish any step in the user's task. You must tailor your command to the user's system and provide a clear explanation of what the command does. Prefer to execute complex CLI commands over creating executable scripts, as they are more flexible and easier to run. Commands will be executed in the current working directory: ${cwd.toPosix()}
+Description: Request to execute a CLI command on the system. Use this when you need to perform system operations or run specific commands to accomplish any step in the user's task. You must tailor your command to the user's system and provide a clear explanation of what the command does. For command chaining, use the appropriate chaining syntax for the user's shell. Prefer to execute complex CLI commands over creating executable scripts, as they are more flexible and easier to run. Commands will be executed in the current working directory: ${cwd.toPosix()}
 Parameters:
 - command: (required) The CLI command to execute. This should be valid for the current operating system. Ensure the command is properly formatted and does not contain any harmful instructions.
 - requires_approval: (required) A boolean indicating whether this command requires explicit user approval before execution in case the user has auto-approve mode enabled. Set to 'true' for potentially impactful operations like installing/uninstalling packages, deleting/overwriting files, system configuration changes, network operations, or any commands that could have unintended side effects. Set to 'false' for safe operations like reading files/directories, running development servers, building projects, and other non-destructive operations.
@@ -216,9 +216,13 @@ Usage:
 Description: Ask the user a question to gather additional information needed to complete the task. This tool should be used when you encounter ambiguities, need clarification, or require more details to proceed effectively. It allows for interactive problem-solving by enabling direct communication with the user. Use this tool judiciously to maintain a balance between gathering necessary information and avoiding excessive back-and-forth.
 Parameters:
 - question: (required) The question to ask the user. This should be a clear, specific question that addresses the information you need.
+- options: (optional) An array of 2-5 options for the user to choose from. Each option should be a string describing a possible answer. You may not always need to provide options, but it may be helpful in many cases where it can save the user from having to type out a response manually.
 Usage:
 <ask_followup_question>
 <question>Your question here</question>
+<options>
+Array of options here (optional), e.g. ["Option 1", "Option 2", "Option 3"]
+</options>
 </ask_followup_question>
 
 ## attempt_completion
@@ -239,9 +243,13 @@ Your final result description here
 Description: Respond to the user's inquiry in an effort to plan a solution to the user's task. This tool should be used when you need to provide a response to a question or statement from the user about how you plan to accomplish the task. This tool is only available in PLAN MODE. The environment_details will specify the current mode, if it is not PLAN MODE then you should not use this tool. Depending on the user's message, you may ask questions to get clarification about the user's request, architect a solution to the task, and to brainstorm ideas with the user. For example, if the user's task is to create a website, you may start by asking some clarifying questions, then present a detailed plan for how you will accomplish the task given the context, and perhaps engage in a back and forth to finalize the details before the user switches you to ACT MODE to implement the solution.
 Parameters:
 - response: (required) The response to provide to the user. Do not try to use tools in this parameter, this is simply a chat response.
+- options: (optional) An array of 2-5 options for the user to choose from. Each option should be a string describing a possible choice or path forward in the planning process. This can help guide the discussion and make it easier for the user to provide input on key decisions. You may not always need to provide options, but it may be helpful in many cases where it can save the user from having to type out a response manually. Do NOT present an option to toggle to Act mode, as this will be something you need to direct the user to do manually themselves.
 Usage:
 <plan_mode_response>
 <response>Your response here</response>
+<options>
+Array of options here (optional), e.g. ["Option 1", "Option 2", "Option 3"]
+</options>
 </plan_mode_response>
 
 # Tool Use Examples
@@ -331,7 +339,24 @@ ${
 <access_mcp_resource>
 <server_name>weather-server</server_name>
 <uri>weather://san-francisco/current</uri>
-</access_mcp_resource>`
+</access_mcp_resource>
+
+## Example 6: Another example of using an MCP tool (where the server name is a unique identifier such as a URL)
+
+<use_mcp_tool>
+<server_name>github.com/modelcontextprotocol/servers/tree/main/src/github</server_name>
+<tool_name>create_issue</tool_name>
+<arguments>
+{
+  "owner": "octocat",
+  "repo": "hello-world",
+  "title": "Found a bug",
+  "body": "I'm having a problem with this.",
+  "labels": ["bug", "help wanted"],
+  "assignees": ["octocat"]
+}
+</arguments>
+</use_mcp_tool>`
 		: ""
 }
 
@@ -750,7 +775,7 @@ IMPORTANT: Regardless of what else you see in the MCP settings file, you must de
 
 (Note: the user may also ask you to install the MCP server to the Claude desktop app, in which case you would read then modify \`~/Library/Application\ Support/Claude/claude_desktop_config.json\` on macOS for example. It follows the same format of a top level \`mcpServers\` object.)
 
-6. After you have edited the MCP settings configuration file, the system will automatically run all the servers and expose the available tools and resources in the 'Connected MCP Servers' section.
+6. After you have edited the MCP settings configuration file, the system will automatically run all the servers and expose the available tools and resources in the 'Connected MCP Servers' section. (Note: If you encounter a 'not connected' error when testing a newly installed mcp server, a common cause is an incorrect build path in your MCP settings configuration. Since compiled JavaScript files are commonly output to either 'dist/' or 'build/' directories, double-check that the build path in your MCP settings matches where your files are actually being compiled. E.g. If you assumed 'build' as the folder, check tsconfig.json to see if it's using 'dist' instead.)
 
 7. Now that you have access to these new tools and resources, you may suggest ways the user can command you to invoke them - for example, with this new weather tool now available, you can invite the user to ask "what's the weather in San Francisco?"
 
@@ -796,7 +821,7 @@ You have access to two tools for working with files: **write_to_file** and **rep
 
 ## Important Considerations
 
-- Using write_to_file requires providing the file’s complete final content.  
+- Using write_to_file requires providing the file's complete final content.  
 - If you only need to make small changes to an existing file, consider using replace_in_file instead to avoid unnecessarily rewriting the entire file.
 - While write_to_file should not be your default choice, don't hesitate to use it when the situation truly calls for it.
 
@@ -809,12 +834,12 @@ You have access to two tools for working with files: **write_to_file** and **rep
 ## When to Use
 
 - Small, localized changes like updating a few lines, function implementations, changing variable names, modifying a section of text, etc.
-- Targeted improvements where only specific portions of the file’s content needs to be altered.
+- Targeted improvements where only specific portions of the file's content needs to be altered.
 - Especially useful for long files where much of the file will remain unchanged.
 
 ## Advantages
 
-- More efficient for minor edits, since you don’t need to supply the entire file content.  
+- More efficient for minor edits, since you don't need to supply the entire file content.  
 - Reduces the chance of errors that can occur when overwriting large files.
 
 # Choosing the Appropriate Tool
@@ -865,9 +890,10 @@ In each user message, the environment_details will specify the current mode. The
 ## What is PLAN MODE?
 
 - While you are usually in ACT MODE, the user may switch to PLAN MODE in order to have a back and forth with you to plan how to best accomplish the task. 
-- When starting in PLAN MODE, depending on the user's request, you may need to do some information gathering e.g. using read_file or search_files to get more context about the task. You may also ask the user clarifying questions to get a better understanding of the task.
-- Once you've gained more context about the user's request, you should architect a detailed plan for how you will accomplish the task.
+- When starting in PLAN MODE, depending on the user's request, you may need to do some information gathering e.g. using read_file or search_files to get more context about the task. You may also ask the user clarifying questions to get a better understanding of the task. You may return mermaid diagrams to visually display your understanding.
+- Once you've gained more context about the user's request, you should architect a detailed plan for how you will accomplish the task. Returning mermaid diagrams may be helpful here as well.
 - Then you might ask the user if they are pleased with this plan, or if they would like to make any changes. Think of this as a brainstorming session where you can discuss the task and plan the best way to accomplish it.
+- If at any point a mermaid diagram would make your plan clearer to help the user quickly see the structure, you are encouraged to include a Mermaid code block in the response. (Note: if you use colors in your mermaid diagrams, be sure to use high contrast colors so the text is readable.)
 - Finally once it seems like you've reached a good plan, ask the user to switch you back to ACT MODE to implement the solution.
 
 ====
@@ -941,7 +967,7 @@ ${
 SYSTEM INFORMATION
 
 Operating System: ${osName()}
-Default Shell: ${defaultShell}
+Default Shell: ${getShell()}
 Home Directory: ${os.homedir().toPosix()}
 Current Working Directory: ${cwd.toPosix()}
 
@@ -957,13 +983,24 @@ You accomplish a given task iteratively, breaking it down into clear steps and w
 4. Once you've completed the user's task, you must use the attempt_completion tool to present the result of the task to the user. You may also provide a CLI command to showcase the result of your task; this can be particularly useful for web development tasks, where you can run e.g. \`open index.html\` to show the website you've built.
 5. The user may provide feedback, which you can use to make improvements and try again. But DO NOT continue in pointless back and forth conversations, i.e. don't end your responses with questions or offers for further assistance.`
 
-export function addUserInstructions(settingsCustomInstructions?: string, clineRulesFileInstructions?: string) {
+export function addUserInstructions(
+	settingsCustomInstructions?: string,
+	clineRulesFileInstructions?: string,
+	clineIgnoreInstructions?: string,
+	preferredLanguageInstructions?: string,
+) {
 	let customInstructions = ""
+	if (preferredLanguageInstructions) {
+		customInstructions += preferredLanguageInstructions + "\n\n"
+	}
 	if (settingsCustomInstructions) {
 		customInstructions += settingsCustomInstructions + "\n\n"
 	}
 	if (clineRulesFileInstructions) {
-		customInstructions += clineRulesFileInstructions
+		customInstructions += clineRulesFileInstructions + "\n\n"
+	}
+	if (clineIgnoreInstructions) {
+		customInstructions += clineIgnoreInstructions
 	}
 
 	return `

src/core/sliding-window/index.ts

@@ -1,97 +0,0 @@
-import { Anthropic } from "@anthropic-ai/sdk"
-
-/*
-We can't implement a dynamically updating sliding window as it would break prompt cache
-every time. To maintain the benefits of caching, we need to keep conversation history
-static. This operation should be performed as infrequently as possible. If a user reaches
-a 200k context, we can assume that the first half is likely irrelevant to their current task.
-Therefore, this function should only be called when absolutely necessary to fit within
-context limits, not as a continuous process.
-*/
-// export function truncateHalfConversation(
-// 	messages: Anthropic.Messages.MessageParam[],
-// ): Anthropic.Messages.MessageParam[] {
-// 	// API expects messages to be in user-assistant order, and tool use messages must be followed by tool results. We need to maintain this structure while truncating.
-
-// 	// Always keep the first Task message (this includes the project's file structure in environment_details)
-// 	const truncatedMessages = [messages[0]]
-
-// 	// Remove half of user-assistant pairs
-// 	const messagesToRemove = Math.floor(messages.length / 4) * 2 // has to be even number
-
-// 	const remainingMessages = messages.slice(messagesToRemove + 1) // has to start with assistant message since tool result cannot follow assistant message with no tool use
-// 	truncatedMessages.push(...remainingMessages)
-
-// 	return truncatedMessages
-// }
-
-/*
-getNextTruncationRange: Calculates the next range of messages to be "deleted"
-- Takes the full messages array and optional current deleted range
-- Always preserves the first message (task message)
-- Removes 1/2 of remaining messages (rounded down to even number) after current deleted range
-- Returns [startIndex, endIndex] representing inclusive range to delete
-
-getTruncatedMessages: Constructs the truncated array using the deleted range
-- Takes full messages array and optional deleted range
-- Returns new array with messages in deleted range removed
-- Preserves order and structure of remaining messages
-
-The range is represented as [startIndex, endIndex] where both indices are inclusive
-The functions maintain the original array integrity while allowing progressive truncation 
-through the deletedRange parameter
-
-Usage example:
-const messages = [user1, assistant1, user2, assistant2, user3, assistant3];
-let deletedRange = getNextTruncationRange(messages); // [1,2] (assistant1,user2)
-let truncated = getTruncatedMessages(messages, deletedRange); 
-// [user1, assistant2, user3, assistant3]
-
-deletedRange = getNextTruncationRange(messages, deletedRange); // [2,3] (assistant2,user3) 
-truncated = getTruncatedMessages(messages, deletedRange);
-// [user1, assistant3]
-*/
-
-export function getNextTruncationRange(
-	messages: Anthropic.Messages.MessageParam[],
-	currentDeletedRange: [number, number] | undefined = undefined,
-	keep: "half" | "quarter" = "half",
-): [number, number] {
-	// Since we always keep the first message, currentDeletedRange[0] will always be 1 (for now until we have a smarter truncation algorithm)
-	const rangeStartIndex = 1
-	const startOfRest = currentDeletedRange ? currentDeletedRange[1] + 1 : 1
-
-	let messagesToRemove: number
-	if (keep === "half") {
-		// Remove half of user-assistant pairs
-		messagesToRemove = Math.floor((messages.length - startOfRest) / 4) * 2 // Keep even number
-	} else {
-		// Remove 3/4 of user-assistant pairs
-		messagesToRemove = Math.floor((messages.length - startOfRest) / 8) * 3 * 2
-	}
-
-	let rangeEndIndex = startOfRest + messagesToRemove - 1
-
-	// Make sure the last message being removed is a user message, so that the next message after the initial task message is an assistant message. This preservers the user-assistant-user-assistant structure.
-	// NOTE: anthropic format messages are always user-assitant-user-assistant, while openai format messages can have multiple user messages in a row (we use anthropic format throughout cline)
-	if (messages[rangeEndIndex].role !== "user") {
-		rangeEndIndex -= 1
-	}
-
-	// this is an inclusive range that will be removed from the conversation history
-	return [rangeStartIndex, rangeEndIndex]
-}
-
-export function getTruncatedMessages(
-	messages: Anthropic.Messages.MessageParam[],
-	deletedRange: [number, number] | undefined,
-): Anthropic.Messages.MessageParam[] {
-	if (!deletedRange) {
-		return messages
-	}
-
-	const [start, end] = deletedRange
-	// the range is inclusive - both start and end indices and everything in between will be removed from the final result.
-	// NOTE: if you try to console log these, don't forget that logging a reference to an array may not provide the same result as logging a slice() snapshot of that array at that exact moment. The following DOES in fact include the latest assistant message.
-	return [...messages.slice(0, start), ...messages.slice(end + 1)]
-}

src/dev/commands/tasks.ts

@@ -0,0 +1,288 @@
+import * as vscode from "vscode"
+import * as fs from "fs/promises"
+import * as path from "path"
+import { ClineProvider } from "../../core/webview/ClineProvider"
+import { HistoryItem } from "../../shared/HistoryItem"
+import { ClineMessage } from "../../shared/ExtensionMessage"
+
+/**
+ * Registers development-only commands for task manipulation.
+ * These are only activated in development mode.
+ */
+export function registerTaskCommands(context: vscode.ExtensionContext, provider: ClineProvider): vscode.Disposable[] {
+	return [
+		vscode.commands.registerCommand("cline.dev.createTestTasks", async () => {
+			const count = await vscode.window.showInputBox({
+				title: "Test Tasks",
+				prompt: "How many test tasks to create?",
+				value: "10",
+			})
+
+			if (!count) {
+				return
+			}
+
+			const tasksCount = parseInt(count)
+			const globalStoragePath = context.globalStorageUri.fsPath
+			const tasksDir = path.join(globalStoragePath, "tasks")
+
+			vscode.window.withProgress(
+				{
+					location: vscode.ProgressLocation.Notification,
+					title: `Creating ${tasksCount} test tasks...`,
+					cancellable: false,
+				},
+				async (progress) => {
+					for (let i = 0; i < tasksCount; i++) {
+						// Generate a timestamp to ensure unique IDs
+						const timestamp = Date.now() + i
+						const taskId = `${timestamp}`
+						const taskDir = path.join(tasksDir, taskId)
+
+						await fs.mkdir(taskDir, { recursive: true })
+
+						// Generate a task prompt
+						const taskName = getRandomTaskName(i)
+
+						// Create realistic message sequence
+						const messages = createRealisticMessageSequence(timestamp, taskName, i)
+
+						// Create API conversation history file
+						await fs.writeFile(
+							path.join(taskDir, "api_conversation_history.json"),
+							JSON.stringify(
+								[
+									{
+										role: "user",
+										content: [{ type: "text", text: `<task>\n${taskName}\n</task>` }],
+									},
+									{
+										role: "assistant",
+										content: [
+											{
+												type: "text",
+												text: `I'll help you ${taskName.toLowerCase()}. Let me break this down into steps.`,
+											},
+										],
+									},
+								],
+								null,
+								2,
+							),
+						)
+
+						// Create UI messages file with realistic message sequence
+						await fs.writeFile(path.join(taskDir, "ui_messages.json"), JSON.stringify(messages, null, 2))
+
+						// Create history item to be shown in the HistoryView
+						const historyItem: HistoryItem = {
+							id: taskId,
+							ts: timestamp,
+							task: taskName,
+							tokensIn: Math.floor(100 + Math.random() * 900), // Random token count from 100-1000
+							tokensOut: Math.floor(200 + Math.random() * 1800), // Random token count from 200-2000
+							cacheWrites: i % 3 === 0 ? Math.floor(50 + Math.random() * 150) : undefined, // Only add cache writes to every 3rd task
+							cacheReads: i % 3 === 0 ? Math.floor(20 + Math.random() * 80) : undefined, // Only add cache reads to every 3rd task
+							totalCost: Number((0.0001 + Math.random() * 0.01).toFixed(5)), // Random cost from $0.0001 to $0.0101
+							size: 1024 * 1024, // 1MB
+						}
+
+						// Update task history in global state
+						await provider.updateTaskHistory(historyItem)
+
+						progress.report({ increment: 100 / tasksCount })
+					}
+
+					// Update the UI to show the new tasks
+					await provider.postStateToWebview()
+
+					vscode.window.showInformationMessage(`Created ${tasksCount} test tasks`)
+				},
+			)
+		}),
+	]
+}
+
+/**
+ * Creates a realistic sequence of messages that would occur in a typical task
+ */
+function createRealisticMessageSequence(baseTimestamp: number, taskPrompt: string, taskIndex: number): ClineMessage[] {
+	// Use an incrementing timestamp to ensure messages appear in sequence
+	let timestamp = baseTimestamp
+	const getNextTimestamp = () => {
+		timestamp += 1000 // Add 1 second between messages
+		return timestamp
+	}
+
+	// Variables to make different test tasks look unique
+	const fileName = getRandomFileName(taskIndex)
+	const commitHash = `commit${taskIndex}${Math.floor(Math.random() * 1000000).toString(16)}`
+
+	// Create a realistic message sequence
+	const messages: ClineMessage[] = [
+		// Initial task message - uses "say" with "text" which is the format used in Cline.ts
+		{
+			ts: baseTimestamp,
+			type: "say",
+			say: "text",
+			text: taskPrompt,
+		},
+
+		// API request started
+		{
+			ts: getNextTimestamp(),
+			type: "say",
+			say: "api_req_started",
+			text: JSON.stringify({
+				request: `<task>\n${taskPrompt}\n</task>`,
+				tokensIn: Math.floor(100 + Math.random() * 200),
+				tokensOut: Math.floor(300 + Math.random() * 500),
+			}),
+		},
+
+		// Reasoning message
+		{
+			ts: getNextTimestamp(),
+			type: "say",
+			say: "reasoning",
+			text: `I'll approach this task by breaking it down into manageable steps. First, I'll analyze the requirements, then create a plan, and finally implement the solution systematically.`,
+		},
+
+		// Text response
+		{
+			ts: getNextTimestamp(),
+			type: "say",
+			say: "text",
+			text: `I'll help you with this task. Let me start by creating the necessary files and implementing the core functionality.`,
+		},
+	]
+
+	// Add task-specific messages based on index modulo to create variety
+	const messageType = taskIndex % 5
+
+	if (messageType === 0 || messageType === 2) {
+		// Tool use - file operations
+		messages.push({
+			ts: getNextTimestamp(),
+			type: "say",
+			say: "tool",
+			text: JSON.stringify({
+				tool: "newFileCreated",
+				path: fileName,
+				content: `// Sample code for ${taskPrompt}`,
+			}),
+		})
+	}
+
+	if (messageType === 1 || messageType === 3) {
+		// Command execution
+		messages.push(
+			{
+				ts: getNextTimestamp(),
+				type: "ask",
+				ask: "command",
+				text: `ls -la`,
+			},
+			{
+				ts: getNextTimestamp(),
+				type: "say",
+				say: "command_output",
+				text: `total 24\ndrwxr-xr-x 3 user staff 96 Mar 10 12:34 .\ndrwxr-xr-x 8 user staff 256 Mar 10 12:30 ..\n-rw-r--r-- 1 user staff 158 Mar 10 12:34 ${fileName}`,
+			},
+		)
+	}
+
+	if (messageType === 2 || messageType === 4) {
+		// Browser actions
+		messages.push(
+			{
+				ts: getNextTimestamp(),
+				type: "ask",
+				ask: "browser_action_launch",
+				text: `https://example.com`,
+			},
+			{
+				ts: getNextTimestamp(),
+				type: "say",
+				say: "browser_action_result",
+				text: JSON.stringify({
+					logs: "Page loaded successfully",
+					screenshot:
+						"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg==",
+				}),
+			},
+			{
+				ts: getNextTimestamp(),
+				type: "say",
+				say: "browser_action",
+				text: JSON.stringify({
+					action: "close",
+				}),
+			},
+		)
+	}
+
+	// Add checkpoint
+	messages.push({
+		ts: getNextTimestamp(),
+		type: "say",
+		say: "checkpoint_created",
+		lastCheckpointHash: commitHash,
+	})
+
+	// Add completion result (all tasks end with this)
+	messages.push({
+		ts: getNextTimestamp(),
+		type: "say",
+		say: "completion_result",
+		text: `I've completed the task to ${taskPrompt.toLowerCase()}. The implementation includes all the required functionality and meets the specifications. ${"x".repeat(1024 * 1024)}`, // 1MB file
+		lastCheckpointHash: commitHash,
+	})
+
+	return messages
+}
+
+/**
+ * Returns a random task name for test data
+ */
+function getRandomTaskName(index: number): string {
+	const tasks = [
+		"Create a simple todo application",
+		"Build a weather forecast widget",
+		"Implement a markdown parser",
+		"Design a responsive landing page",
+		"Develop a currency converter",
+		"Create a file upload component",
+		"Build a data visualization dashboard",
+		"Implement a search functionality",
+		"Create a user authentication system",
+		"Design a dark mode toggle",
+		"Build a countdown timer",
+		"Create a drag and drop interface",
+		"Implement form validation",
+		"Design a multi-step wizard",
+		"Create a notification system",
+	]
+
+	return tasks[index % tasks.length] + ` (Test ${index + 1})`
+}
+
+/**
+ * Returns a random file name for test data
+ */
+function getRandomFileName(index: number): string {
+	const files = [
+		"index.html",
+		"styles.css",
+		"script.js",
+		"app.jsx",
+		"main.ts",
+		"utils.py",
+		"config.json",
+		"server.js",
+		"data.csv",
+		"README.md",
+	]
+
+	return files[index % files.length]
+}

src/extension.ts

@@ -1,12 +1,14 @@
 // The module 'vscode' contains the VS Code extensibility API
 // Import the module and reference it with the alias vscode in your code below
-import delay from "delay"
+import { setTimeout as setTimeoutPromise } from "node:timers/promises"
 import * as vscode from "vscode"
 import { ClineProvider } from "./core/webview/ClineProvider"
 import { Logger } from "./services/logging/Logger"
 import { createClineAPI } from "./exports"
 import "./utils/path" // necessary to have access to String.prototype.toPosix
 import { DIFF_VIEW_URI_SCHEME } from "./integrations/editor/DiffViewProvider"
+import assert from "node:assert"
+import { telemetryService } from "./services/telemetry/TelemetryService"
 
 /*
 Built using https://github.com/microsoft/vscode-webview-ui-toolkit
@@ -30,6 +32,8 @@ export function activate(context: vscode.ExtensionContext) {
 
 	const sidebarProvider = new ClineProvider(context, outputChannel)
 
+	vscode.commands.executeCommand("setContext", "cline.isDevMode", IS_DEV && IS_DEV === "true")
+
 	context.subscriptions.push(
 		vscode.window.registerWebviewViewProvider(ClineProvider.sideBarId, sidebarProvider, {
 			webviewOptions: { retainContextWhenHidden: true },
@@ -86,7 +90,7 @@ export function activate(context: vscode.ExtensionContext) {
 		tabProvider.resolveWebviewView(panel)
 
 		// Lock the editor group so clicking on files doesn't open them over the panel
-		await delay(100)
+		await setTimeoutPromise(100)
 		await vscode.commands.executeCommand("workbench.action.lockEditorGroup")
 	}
 
@@ -113,14 +117,20 @@ export function activate(context: vscode.ExtensionContext) {
 	)
 
 	context.subscriptions.push(
-		vscode.commands.registerCommand("cline.accountLoginClicked", () => {
+		vscode.commands.registerCommand("cline.accountButtonClicked", () => {
 			sidebarProvider.postMessageToWebview({
 				type: "action",
-				action: "accountLoginClicked",
+				action: "accountButtonClicked",
 			})
 		}),
 	)
 
+	context.subscriptions.push(
+		vscode.commands.registerCommand("cline.openDocumentation", () => {
+			vscode.env.openExternal(vscode.Uri.parse("https://docs.cline.bot/"))
+		}),
+	)
+
 	/*
 	We use the text document content provider API to show the left side for diff view by creating a virtual document for the original content. This makes it readonly so users know to edit the right side if they want to keep their changes.
 
@@ -160,10 +170,12 @@ export function activate(context: vscode.ExtensionContext) {
 			case "/auth": {
 				const token = query.get("token")
 				const state = query.get("state")
+				const apiKey = query.get("apiKey")
 
 				console.log("Auth callback received:", {
 					token: token,
 					state: state,
+					apiKey: apiKey,
 				})
 
 				// Validate state parameter
@@ -172,8 +184,8 @@ export function activate(context: vscode.ExtensionContext) {
 					return
 				}
 
-				if (token) {
-					await visibleProvider.handleAuthCallback(token)
+				if (token && apiKey) {
+					await visibleProvider.handleAuthCallback(token, apiKey)
 				}
 				break
 			}
@@ -183,10 +195,189 @@ export function activate(context: vscode.ExtensionContext) {
 	}
 	context.subscriptions.push(vscode.window.registerUriHandler({ handleUri }))
 
+	// Register size testing commands in development mode
+	if (IS_DEV && IS_DEV === "true") {
+		// Use dynamic import to avoid loading the module in production
+		import("./dev/commands/tasks")
+			.then((module) => {
+				const devTaskCommands = module.registerTaskCommands(context, sidebarProvider)
+				context.subscriptions.push(...devTaskCommands)
+				Logger.log("Cline dev task commands registered")
+			})
+			.catch((error) => {
+				Logger.log("Failed to register dev task commands: " + error)
+			})
+	}
+
+	context.subscriptions.push(
+		vscode.commands.registerCommand("cline.addToChat", async (range?: vscode.Range, diagnostics?: vscode.Diagnostic[]) => {
+			const editor = vscode.window.activeTextEditor
+			if (!editor) {
+				return
+			}
+
+			// Use provided range if available, otherwise use current selection
+			// (vscode command passes an argument in the first param by default, so we need to ensure it's a Range object)
+			const textRange = range instanceof vscode.Range ? range : editor.selection
+			const selectedText = editor.document.getText(textRange)
+
+			if (!selectedText) {
+				return
+			}
+
+			// Get the file path and language ID
+			const filePath = editor.document.uri.fsPath
+			const languageId = editor.document.languageId
+
+			// Send to sidebar provider
+			await sidebarProvider.addSelectedCodeToChat(
+				selectedText,
+				filePath,
+				languageId,
+				Array.isArray(diagnostics) ? diagnostics : undefined,
+			)
+		}),
+	)
+
+	context.subscriptions.push(
+		vscode.commands.registerCommand("cline.addTerminalOutputToChat", async () => {
+			const terminal = vscode.window.activeTerminal
+			if (!terminal) {
+				return
+			}
+
+			// Save current clipboard content
+			const tempCopyBuffer = await vscode.env.clipboard.readText()
+
+			try {
+				// Copy the *existing* terminal selection (without selecting all)
+				await vscode.commands.executeCommand("workbench.action.terminal.copySelection")
+
+				// Get copied content
+				let terminalContents = (await vscode.env.clipboard.readText()).trim()
+
+				// Restore original clipboard content
+				await vscode.env.clipboard.writeText(tempCopyBuffer)
+
+				if (!terminalContents) {
+					// No terminal content was copied (either nothing selected or some error)
+					return
+				}
+
+				// [Optional] Any additional logic to process multi-line content can remain here
+				// For example:
+				/*
+				const lines = terminalContents.split("\n")
+				const lastLine = lines.pop()?.trim()
+				if (lastLine) {
+					let i = lines.length - 1
+					while (i >= 0 && !lines[i].trim().startsWith(lastLine)) {
+						i--
+					}
+					terminalContents = lines.slice(Math.max(i, 0)).join("\n")
+				}
+				*/
+
+				// Send to sidebar provider
+				await sidebarProvider.addSelectedTerminalOutputToChat(terminalContents, terminal.name)
+			} catch (error) {
+				// Ensure clipboard is restored even if an error occurs
+				await vscode.env.clipboard.writeText(tempCopyBuffer)
+				console.error("Error getting terminal contents:", error)
+				vscode.window.showErrorMessage("Failed to get terminal contents")
+			}
+		}),
+	)
+
+	// Register code action provider
+	context.subscriptions.push(
+		vscode.languages.registerCodeActionsProvider(
+			"*",
+			new (class implements vscode.CodeActionProvider {
+				public static readonly providedCodeActionKinds = [vscode.CodeActionKind.QuickFix]
+
+				provideCodeActions(
+					document: vscode.TextDocument,
+					range: vscode.Range,
+					context: vscode.CodeActionContext,
+				): vscode.CodeAction[] {
+					// Expand range to include surrounding 3 lines
+					const expandedRange = new vscode.Range(
+						Math.max(0, range.start.line - 3),
+						0,
+						Math.min(document.lineCount - 1, range.end.line + 3),
+						document.lineAt(Math.min(document.lineCount - 1, range.end.line + 3)).text.length,
+					)
+
+					const addAction = new vscode.CodeAction("Add to Cline", vscode.CodeActionKind.QuickFix)
+					addAction.command = {
+						command: "cline.addToChat",
+						title: "Add to Cline",
+						arguments: [expandedRange, context.diagnostics],
+					}
+
+					const fixAction = new vscode.CodeAction("Fix with Cline", vscode.CodeActionKind.QuickFix)
+					fixAction.command = {
+						command: "cline.fixWithCline",
+						title: "Fix with Cline",
+						arguments: [expandedRange, context.diagnostics],
+					}
+
+					// Only show actions when there are errors
+					if (context.diagnostics.length > 0) {
+						return [addAction, fixAction]
+					} else {
+						return []
+					}
+				}
+			})(),
+			{
+				providedCodeActionKinds: [vscode.CodeActionKind.QuickFix],
+			},
+		),
+	)
+
+	// Register the command handler
+	context.subscriptions.push(
+		vscode.commands.registerCommand("cline.fixWithCline", async (range: vscode.Range, diagnostics: any[]) => {
+			const editor = vscode.window.activeTextEditor
+			if (!editor) {
+				return
+			}
+
+			const selectedText = editor.document.getText(range)
+			const filePath = editor.document.uri.fsPath
+			const languageId = editor.document.languageId
+
+			// Send to sidebar provider with diagnostics
+			await sidebarProvider.fixWithCline(selectedText, filePath, languageId, diagnostics)
+		}),
+	)
+
 	return createClineAPI(outputChannel, sidebarProvider)
 }
 
 // This method is called when your extension is deactivated
 export function deactivate() {
+	telemetryService.shutdown()
 	Logger.log("Cline extension deactivated")
 }
+
+// TODO: Find a solution for automatically removing DEV related content from production builds.
+//  This type of code is fine in production to keep. We just will want to remove it from production builds
+//  to bring down built asset sizes.
+//
+// This is a workaround to reload the extension when the source code changes
+// since vscode doesn't support hot reload for extensions
+const { IS_DEV, DEV_WORKSPACE_FOLDER } = process.env
+
+if (IS_DEV && IS_DEV !== "false") {
+	assert(DEV_WORKSPACE_FOLDER, "DEV_WORKSPACE_FOLDER must be set in development")
+	const watcher = vscode.workspace.createFileSystemWatcher(new vscode.RelativePattern(DEV_WORKSPACE_FOLDER, "src/**/*"))
+
+	watcher.onDidChange(({ scheme, path }) => {
+		console.info(`${scheme} ${path} changed. Reloading VSCode...`)
+
+		vscode.commands.executeCommand("workbench.action.reloadWindow")
+	})
+}

src/global-constants.ts

@@ -0,0 +1,8 @@
+// NOTE: These are here temporarily until we find a better home for them
+export const GlobalFileNames = {
+	apiConversationHistory: "api_conversation_history.json",
+	uiMessages: "ui_messages.json",
+	openRouterModels: "openrouter_models.json",
+	mcpSettings: "cline_mcp_settings.json",
+	clineRules: ".clinerules",
+}

src/integrations/checkpoints/Checkpoint-test-utils.ts.bak

@@ -0,0 +1,73 @@
+import * as vscode from "vscode"
+import fs from "fs/promises"
+import path from "path"
+import os from "os"
+import CheckpointTracker from "./CheckpointTracker"
+
+export async function createTestEnvironment() {
+    // Create temp directory structure
+    const tempDir = path.join(os.tmpdir(), `checkpoint-test-${Date.now()}`)
+    await fs.mkdir(tempDir, { recursive: true })
+
+    // Create storage path outside of working directory to avoid submodule issues
+    const globalStoragePath = path.join(os.tmpdir(), `storage-${Date.now()}`)
+    await fs.mkdir(globalStoragePath, { recursive: true })
+
+    // Create test file in a subdirectory
+    const testDir = path.join(tempDir, "src")
+    await fs.mkdir(testDir, { recursive: true })
+    const testFilePath = path.join(testDir, "test.txt")
+
+    // Create .gitignore to prevent git from treating directories as submodules
+    await fs.writeFile(path.join(tempDir, ".gitignore"), "storage/\n")
+
+    // Mock VS Code workspace
+    const mockWorkspaceFolders = [
+        {
+            uri: { fsPath: tempDir },
+            name: "test",
+            index: 0,
+        },
+    ]
+
+    const originalDescriptor = Object.getOwnPropertyDescriptor(vscode.workspace, "workspaceFolders")
+    Object.defineProperty(vscode.workspace, "workspaceFolders", {
+        get: () => mockWorkspaceFolders,
+    })
+
+    // Mock findFiles to return no nested git repos
+    const originalFindFiles = vscode.workspace.findFiles
+    vscode.workspace.findFiles = async () => []
+
+    // Mock VS Code configuration
+    const originalGetConfiguration = vscode.workspace.getConfiguration
+    vscode.workspace.getConfiguration = () =>
+        ({
+            get: (key: string) => (key === "enableCheckpoints" ? true : undefined),
+        }) as any
+
+    return {
+        tempDir,
+        globalStoragePath,
+        testFilePath,
+        originalDescriptor,
+        originalFindFiles,
+        originalGetConfiguration,
+        cleanup: async () => {
+            // Restore VS Code mocks
+            if (originalDescriptor) {
+                Object.defineProperty(vscode.workspace, "workspaceFolders", originalDescriptor)
+            }
+            vscode.workspace.getConfiguration = originalGetConfiguration
+            vscode.workspace.findFiles = originalFindFiles
+
+            // Clean up temp directories
+            await fs.rm(tempDir, { recursive: true, force: true })
+            await fs.rm(globalStoragePath, { recursive: true, force: true })
+        }
+    }
+}
+
+export async function createTestTracker(globalStoragePath?: string, taskId = "test-task-1") {
+    return await CheckpointTracker.create(taskId, globalStoragePath)
+}