* Refactor GeminiHandler to remove caching logic and update pricing structure
* Removed the enhanced caching system and related logic from GeminiHandler.
* Updated the pricing structure for cache reads in both geminiModels and vertexModels.
* Simplified the message creation process by eliminating unnecessary cache checks and operations.
* Fixing Gemini and vertex cache pricing
* Fixing Gemini and vertex cache pricing
* Update src/api/providers/gemini.ts
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Increasing file sizes for files that can be read by cline
* Update src/integrations/misc/extract-text.ts
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Increasing file sizes for files that can be read by cline
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* fix(bedrock): application inference profile is not work
* chore: add change set
* chore: change the encoding condition to whether it contains a slash
* fix excessive markdown format character escaping
* add changeset
* made it a little more robust
---------
Co-authored-by: Wesley Smith <wes@neofactory.ai>
Co-authored-by: Cline Evaluation <cline@example.com>
* enable text area while cline is doing stuff
* changeset
* add sendingDisabled to dependency array
---------
Co-authored-by: Elephant Lumps <celestial_vault@Elephants-MacBook-Pro.local>
* copy button in task header
* changeset
* added copy buttons to assistant messages that show up on hover
* added aria
---------
Co-authored-by: Cline Evaluation <cline@example.com>
- Added a check for azureApiVersion to determine if the endpoint is an Azure endpoint.
- Included conditions to check for 'azure.com' and 'azure.us' in the openAiBaseUrl.
- Ensured that the openAiModelId does not include 'deepseek' when determining the Azure endpoint.
* Improve time display and filter out resume_task in Task Timeline
* changeset
* polishing it up a little
* a little bigger
* more tooltips + task header
* further refinement
* spacing
* moving delete button up one row conditionally
* removed log
---------
Co-authored-by: Cline Evaluation <cline@example.com>
* Add handling of git message
* ✨ Add commit message generation feature
- Implemented commit message generation functionality in controller
- Added new command to generate commit messages from git diff
- Added error handling for commit message generation
- Updated API handler to support commit message generation
- Added new icon for commit message command
- Updated keybindings for commit message generation
- Added command to command palette for easier access
- Improved error handling and logging
- Added support for generating commit messages from staged changes
- Updated documentation and comments
* Handle user dismissing the dialog (selectedAction is undefined)
* Apply code review suggestions
No default keybinding
The task is not cancelable
Unused import removed
Cleaner message
* round 1
* round 2 - searchFiles integration attempt
* undo streaming search experiments
* Start state.proto and related migrations
* state subscription
* get the main state flow using it
* correct stream ending early, debug statements
* clean up build-proto service config
* autogenerate index.tses
* auto-generate grpc-client service exports
* rename web-content -> web to make codegen work
* cleaned up streaming flow & cancels
* v3.14.0 Release Notes
v3.14.0 Release Notes
* prettier
* uhh prettier ?
* rename GrpcRequestRegistry file
* auto-generate directory for new services in the config
* generate template proto if it doesn't exist and provide instructions
* format fix
* add models service back to new system
---------
Co-authored-by: Andrei Edell <andrei@nugbase.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Change bug report template
* it should be text area
* [TRIVIAL] Add npm script for issue creation
* Adjust script & add changeset
* Use cline repo
* remove comment
* open should work on any platform
* add collection method
* collect messages
* changeset
* remove commented out parts
* remove check to send events anytime a new task is created while on an existing task
* Update src/core/controller/task/clearTask.ts
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Update src/services/telemetry/TelemetryService.ts
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Lower border radius
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
Co-authored-by: Ara <arafat.da.khan@gmail.com>
* deleteTasksWithIDs protobus migration
* Moved deleteTasksWithIds to dedicated message type
* Created common StringArrayRequest
* Delete webview-ui/.vite-port
* feat: support batch history deletion
Single history item deletion is too small and "Delete All History" is
too large on granuality.
For long term Cline users and Cline devs/testers it would be convenient
to batch deletion these history items.
On `HistoryView` page, this commit add:
1. `CheckBox` for every history item
2. `Select All` & `Deselect All` buttons (work with search filter)
3. `Delete Selected` button for batch deletion (only appears when
item(s) is/are selected)
History task's `onclick` is pointed to `showTaskWithId` for quick
showing this task.
* fix failed ellipsis checking
* HistoryView: remove unused import
* fix: style improvement
1. Selection buttons moved up to align with 'Done' button
2. Delete All History button hidden when any items are selected
3. Checkboxes moved below and align with message text
* restore unnecessary changes
* Improve styles and Delete selected button
* changeset
---------
Co-authored-by: frostbournesb <frostbournesb@protonmail.com>
* feat: Add support for custom model ID in AWS Bedrock provider
* preserve settings when switching Act-Plan modes
* Use base model ID for ApiHandler behavior determination when using a custom model on AWS Bedrock.
* Run pretest in CI to build all tests
* Alias paths when running tests
* Bundle ES modules with esbuild
* alias packages
* Preserve the test scripts exit code and display the output
* Remove outdated test
* Add drag-and-drop functionality to ChatTextArea component
- Introduced state management for drag feedback with `isDraggingOver`.
- Implemented drag event handlers: `handleDragEnter`, `handleDragLeave`, and updated `onDragOver`.
- Enhanced visual feedback during drag-and-drop with dashed outline and transition effects.
- Reset drag state on drop event.
* New Ast salvage
* shift to drag
* shift to drag
* shift to drag
* shift to drag
* shift to drag
* shift to drag
* quote
* quote
* 500ms -> 100ms
* updated language and 250ms delay sweetspot
* better transitions
---------
Co-authored-by: Cline Evaluation <cline@example.com>
* add protos to more dependsOn, also make it so that the scripts are always displayed and the window does not automatically close
* changeset
* add back build script
* Support for custom timeout
* Make custom timeout visible only for ollama
* Remove parameters from other providers, only kept for ollama
* Update webview-ui/src/components/settings/ApiOptions.tsx
Co-authored-by: nomaven <arafat.da.khan@gmail.com>
---------
Co-authored-by: nomaven <arafat.da.khan@gmail.com>
* add title tags
* add tooltips, change Cline Rules name, introduce contrast to auto approve + dismiss when click outside
* change to prompts and add hook for click outside to close
* use useClickAway, delete unused component, rename back to cline rules
---------
Co-authored-by: celestial-vault <58194240+celestial-vault@users.noreply.github.com>
* cancelTask protobuf
* changeset
* corrected changeset
* fixing bad push
* more fixes
* one small change
* ONE more change
* missing await
---------
Co-authored-by: Andrei Eternal <garoth@gmail.com>
* Use grpc-tools module to install protoc
Add dependencies for npm modules that provide the protoc binary and the ts plugin.
Don't include protos in sub-directories to prevent including node_modules.
* Move proto generator dependencies into top level package.json
* Keep package.json
Otherwise node cannot tell build-proto.js is a module.
* add github action for creating linear tickets for unconnected PRs
* changset
* only load fetch if not present
* omit fetch
* add error handling
* fix gql query
* only run for opened PRs
* break out into actions
* fix folders
* checkout first
* remove the actions
* add sync
* remove sync
* Enhance fixWithCline command execution by focusing chat input and adding a delay before processing the fixWithCline command.
* feat: add OpenRouter base URL and balance display component
* refactor: remove supportsComputerUse from modelInfo and related components, replacing with supportsImages where applicable
* feat: add OpenRouter base URL and balance display component
* feat: add OpenRouter base URL and balance display component
* feat: add OpenRouter base URL and balance display component
* feat: add OpenRouter base URL and balance display component
* feat: add OpenRouter base URL and balance display component
* Enhance fixWithCline command execution by focusing chat input and adding a delay before processing the fixWithCline command.
* feat: add OpenRouter base URL and balance display component
* feat: add OpenRouter base URL and balance display component
* feat: add OpenRouter base URL and balance display component
* added a a difference between react state saves and core state saves so that the provider settings dont reset other set settings
* added changeset
* Update .changeset/thirty-bugs-admire.md
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* changed button text to say Save
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* using ndoe shell instead of vs code terminal for commands + always using latest vsix
* 30s max time for commands in test mode
* removed overwhelming logs
* better 30s termination
* base
* format
* test base
* new model
* menu base
* highlights
* nits
* menu wrap
* consider cursor
* cursor position
* color
* spacing
* highlighting boxes
* styles
* formatting new call
* rm
* changeset
* css styles
* format
* Fix the chat context menu removing UTF8 characters causing pure UTF8 character filenames not to display in the menu
* fix: Refactor the function constructNewFileContent using a state switching mechanism, and fix the issue of inaccurate SEARCH-REPLACE delimiters generated by some large models through lookahead processing
* Merge diff.ts with diff2.ts; Mark the original constructNewFileContent as @deprecated.
* Add detailed comments to explain test cases for nested markers
* fix: Non-error logs from the MCP server are also output as error logs, causing abnormal server display.(#2589)
* Modified to make 'error' case-insensitive.(#2589)
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* fix: use Prettier code style
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Fixed to be able to use DeepSeek model in Azure.
* fix
* fix .changeset
* fix src\api\providers\deepseek.ts
* fix src\api\providers\openai.ts
* Fixed to be able to use DeepSeek model in Azure.
* fix
* fix .changeset
* fix src\api\providers\deepseek.ts
* fix src\api\providers\openai.ts
* fix package-lock.json
* Revert "fix package-lock.json"
This reverts commit dc52e97057.
* fix
* fix
* Allow setting extra headers for openai compatible api
* Fix to the extra headers form
* Properly store header state
* fix prettier
* Cleanup styles
---------
Co-authored-by: mbradshaw <mbradshaw@indeed.com>
Co-authored-by: frostbournesb <frostbournesb@protonmail.com>
* User message editing
* restore and send
* dont redo if the message is the same
* select by default
* resolve conflicts
* handle workspace restore
* add title to buttons
* don't allow restoring files if there is no workspace
* fix
* fix messaging
* fix text
* fix type
* Make command to focus on chat input
* Allow cmd to focus from anywhere
* changeset
* fix unit test
* Jump to chat input from anywhere
* fix focusChatInput call after opening ext
* - add ability to send context with an options selection
- add sourcemaps for debugging in the webview
* remove colon if there is no message
* resolve conflicts
* remove sourcemap
* add fetching global cline rules files
* add toggle functionality to clinerules
* selectively filter out OS generated files from read directory
* remove .file filtering
* remove duplicate imports
* pass path to global rules directory in system prompt
* empty commit to trigger tests
* initial protobuf setup & rough domains
* delete old protos for now
* phase 1
* initial working demo
* simplify call a bit more
* remomve some comments
* use common.proto
* remove redundant browser-service layer, clean up naming
* delete mcp proto for now
* better client layout & easier service imports
* a reflection-based way to create grpc services automatically
* better code layout for grpc implementations
* switch to auto-generating the method registration via bash
* hook protobufs into package.json scripts
* make service implementations more generic
* warn user that they must install protoc deps
* delete old message passing for getBrowserConnectionInfo
* format fix
* format fix
* rewrite build-protos in node & update package.json
* don't protoc during package
* change how imports work based on feedback
* package lock seems necessary now
---------
Co-authored-by: Andrei Edell <andrei@nugbase.com>
Set correct cacheReadsPrice (cached input price) for gpt-4.1, gpt-4.1 mini, and gpt-4.1 nano based on official OpenAI pricing. No changes to cacheWritesPrice as per current OpenAI documentation. This ensures prompt caching costs are accurately reflected for these models in cost calculations.
* Fix browser tool actions not being grouped because of checkpoints
* Fix bug where hovering mouse over checkpoint and not moving would make popover disappear
* Fix duplicate checkpoints bug
* Create slow-hornets-flash.md
* Remove streaming animation between chunks of edits
* Add quick scrolling animation between chunks of changes
* Modify prompts to handle large files
* Modify prompt to handle multi-edits to same file
* Add diff edit indicator
* Create dirty-guests-shout.md
* Refactor Task class to use global state for API provider ID in telemetry events because this.apiProvider is readonly and shows the old value on model switch
* Updating README
* Updating README
* Updating README
* Updating README
* Updating README
* Updating README
Adding model information to Requesty provider.
- Add a new model picker component for Requesty.
- Enable controlling thinking budget via a slider
IMPORTANT:
Model information is fetched ONLY(!) when the user chooses "requesty"
as their provider to avoid any boot latency.
* added message catching to test server
* added message catching to test server
* fixing logger initialization
* fixed race condition
* adding logging
* removed redundant if condition
* Fixes issue where deleting tasks wasn't clearing the task metadata or context history files; let model recording fail gracefully
* Create clean-boats-film.md
---------
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* Enhance chat component interactivity by adding row index and hover state management. Updated BrowserSessionRow, ChatRow, and CheckmarkControl to support row-specific hover effects and state tracking, improving user experience during interactions.
* Adding hovered row index
* Adding hovered row index
* Adding hovered row index
* add metadata for model and apiProvider so it's available to Cline
* fix test
* check for existing array in case of old task
* only write if the metadata changes
* feat: add tiered pricing for gemini-2.5-pro
* fix: ensure price tiers are sorted before lookup
* refactor: remove old prices
* refactor(settings): improve model tier pricing display clarity
- Clarify token limit display using full numbers instead of 'k'.
- Specify price unit as '/million tokens' for better understanding.
* add cmd + quote keybinding to add to cline chat
* changeset
* auto focus and start cursor on new line for easy UX
* changeset
* Remove extra new line character
---------
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* base context manager
* responses
* changeset
* Disable unit tests until runner is updated (#2733)
---------
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* Add dispatch trigger and restrictions to changeset converter.
* Update .github/workflows/changeset-converter.yml
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Update action to specific version
* Fix format, Update package-lock version
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* make ServerRow not optionally not expandable
* changeset
* factor out servers toggle list
* changeset
* add servers modal
* changest
* Reduce padding in modal
* separate fetch useEffect for more efficient rendering
---------
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* manual port
* successfully open remote chrome
* clean up auto-detect vs specified path
* move the browser settings into regular settings
* changeset & prettier
* correct chrome path description, remove some old comments, and rename headless mode to local mode
* rename incorrect headless mode to 'local mode'
* Sub-PR of hugelung/remote_browser: clicking browser widget's gear opens basic settings & scrolls down with a highlight (#2439)
* first version of scrolling to browser settings
* really nice generic scroll to settings & highlight
* formatting & changeset
---------
Co-authored-by: Andrei Edell <andrei@nugbase.com>
* added feature to detect and display chrome path as placeholder in browser settings (#2442)
Co-authored-by: Andrei Edell <garoth@gmail.com>
* Features to relaunch browser in debug, test connection (#2440)
* Features to Relaunch browser in debug, test connection
* Update src/services/browser/BrowserSession.ts
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Update webview-ui/src/components/browser/BrowserSettingsMenu.tsx
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
---------
Co-authored-by: Andrei Edell <garoth@gmail.com>
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* fix a merge conflict resolution error
* fix linter issue
* clarify settings descriptions
* Remove sketchy network scanning code
* respect viewport size in remote host
* headless browser fix (#2451)
* Disable notifications in browser
* start of info panel popover (#2453)
* start of info panel popover
* remove duplicated message & prettier fix
* Revert "remove duplicated message & prettier fix"
This reverts commit dcefef35aa.
* info styling, close browser tab, hide headless info
---------
Co-authored-by: Andrei Edell <andrei@nugbase.com>
* remove headless checkbox
* settings layout rework & more auto
* new chrome flags experiments
* make headless choice automatic & phrasing & visual cleanups
* auto-recheck chrome connection every second
- while we are looking at settings
- while we have remote debugging enabled
* continuous remote connection testing & ux cleanup
* remove advanced settings from package.json
* format fixes
* dont display connection type after dc to smooth over ui of reloading tasks
* seems we need package-lock now for ci
* Revert "remove advanced settings from package.json"
This reverts commit 5defe4a8ca.
* relaunch correctly with default session
* prevent about:blank opening on relaunch
* Resolve merge conflicts with refactor
* add browser tool telemetry
* try launching chrome using node spawn_child to detach it
* browser settings update
* do async dispose for browsersession
* remove duplicated message implementation
* Remove remote browser settings from configuration, and enhance browser settings UI with an advanced settings button.
* Remove updateBrowserSettings
* Fix text with chrome path
* fix arafat's pr note about multiple timers
* fix saoud's note about require use
* Remote browser logging (#2682)
* logging
* reduce logging levels
---------
Co-authored-by: Andrei Edell <andrei@nugbase.com>
* Make browser status popup adapt to viewport width
* remove requires for exec/spawn
* remove unneeded comments
* error telemetry
* remove headless mode / settings everywhere
* migrate values list to simple endpoint string
* fix log spam and clean up a comment
* Fixes; copy
* Remove local state since we're already using extension state
* Remove unnecessary remoteBrowserHost and remoteBrowserEnabled states
* Fix status wrapping
---------
Co-authored-by: Andrei Edell <andrei@nugbase.com>
Co-authored-by: canvrno <46584286+canvrno@users.noreply.github.com>
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
Co-authored-by: canvrno <kevin@cline.bot>
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
Co-authored-by: frostbournesb <frostbournesb@protonmail.com>
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* Feature: Drag and Drop
* leading slash
Insert multiple files sequencially
Folder drop
Older mention mechanism restore
Multiple files droped
Webview not neccesary
comments removed
More comments
things
restored code
removed comment
* handleTextDrop
* StopPrograpation not need it
* Multiple folders drag and drop
* changesets
* Comments removed
* More comments removed
* Consolidate drag-and-drop message types
* Context menu fileSearchResult error
* package lock version
* inputValue and comments on removeMention restored
* reorganize directory structure
* rename back files to make diff more readable
* rename back because it didn't help
* rename index files to their component names
* fix addLocalServerForm imports
* Fix: Better Windows path support
* Move to 'chai' for test running
* Fix: Let's start with what we know
* Chore: Add 'root' level file path test, remove less useful tests
* Chore: Add 'root' level file path test, remove less useful tests
---------
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* feat: add extended thinking slider to LiteLLM provider
Signed-off-by: Jorge García Rey <jorgegar@inditex.com>
* feat: add changeset
Signed-off-by: Jorge García Rey <jorgegar@inditex.com>
* fix: format
Signed-off-by: Jorge García Rey <jorgegar@inditex.com>
---------
Signed-off-by: Jorge García Rey <jorgegar@inditex.com>
* add coverage to github workflows
* add changeset
* continue to run on errors
* address comments from ellipsis-dev
* add unit tests, confirm passing
* remove pyproject.toml approach to deps instalL
* use github_output env var
* add verbose mode for debugging
* verbose was not being captured
* std out, not print
* remove 1000 line dump...
* print every line separately to prevent clipping
* build extension before testing
* clean up debugging prints
* break coverage.py into smaller files
* break coverage.py into smaller files
* Relative module names not supported
* rename coverage to coverage_check to avoid naming collision
* rename coverage to coverage_check to avoid naming collision
* debugging missing coverage files
* output error on coverage report
* handling ellipsis-dev comments
* see if we need vscode test deps
* experimenting to try to get it running
* use absolute paths
* put everything in root directory
* address more comments from ellipsis-dev
* import run_command in extraction.py
* fix verbose flag
* use parent parser
* ensure safe command test will allow our commands
* make sure we install before coverage
* update tests to ensure run
---------
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* Add disk.ts and move out ensureTaskDirectoryExists
* refactor: move disk operations out of Task
* Move prompts out of Task
* Remove legacy tool_use conversion
* task feedback telemetry
* only showing first time
* Update webview-ui/src/components/chat/ChatRow.tsx
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* package lock
* lint
* no need to pass messageTs
* using type from webviewmessage
* Fix merge conflicts
* Fix whitespace issue
* Update TaskFeedbackButtons to use VSCodeButton for feedback options
- Replaced custom FeedbackButton component with VSCodeButton for improved consistency with VSCode UI.
- Removed unnecessary animation state and feedback text, simplifying the component structure.
- Added IconWrapper for better styling of feedback icons.
- Adjusted layout and spacing in ButtonsContainer for a cleaner appearance.
* Move feedback icons placement
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* feat: add `string.test.ts`
refactor: type improvement of variable `match` in file `src/api/transform/o1-format.ts`
* feat: add more test with function `removeInvalidChars`
* refactor: Replace ClineProvider with Controller for improved architecture
- Replaced instances of ClineProvider with Controller in extension.ts and related files to enhance code organization and maintainability.
- Introduced a new Controller class to manage interactions previously handled by ClineProvider, streamlining the extension's functionality.
- Updated command registrations and message handling to utilize the new Controller structure, ensuring consistent behavior across the extension.
- Removed the ClineProvider class and its associated methods, consolidating functionality within the Controller class.
- Added new state management and task handling capabilities within the Controller to support the updated architecture.
* clean up
* refactor: Update Task class to use Controller reference
- Replaced all instances of ClineProvider with Controller in the Task class to align with the recent architectural changes.
- Updated references for context management, task history, and message handling to utilize the new Controller structure.
- Ensured consistent behavior across the Task class by adapting to the Controller's methods and properties.
* refactor: Simplify WebviewProvider listeners structure
* Fixes
* Make controller a dependency of webview
* refactor: Improve message listener in WebviewProvider
- Updated the setWebviewMessageListener method to use an arrow function for the message handler, preserving the 'this' context of the controller.
- Added detailed comments explaining the importance of maintaining the correct 'this' context when passing methods as callbacks in JavaScript/TypeScript.
* Add doc
* Add to chat for visible webview
* Fixes
* fix: Update Google Gemini API key link
Google updated where you can sign up for API keys. This is the new link that will take people closer to where they can generate an API key.
* Add changeset
* feat(extension): add access to history, mcp, and new task buttons in popped-out view
- Added new commands to the editor/title section in package.json to ensure buttons are available in the popped-out view.
- Updated command registrations in src/extension.ts to use ClineProvider.getVisibleInstance() for better instance management.
* chore: run changeset
* Move restart/delete server and all toggle all
* changeset
* move buttons back to the bottom and show icons even when expanded
* Only display auto-approve all if auto-approve mcp is enabled
* Move auto-approve setting to bottom
---------
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* Add Coverage Reporting
* automate tests via github workflow
* ensure documents are cleaned up at the end of the workflow
* add changeset
* backout github workflow changes
* update changeset to reflect split
---------
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* take into account max_tokens for OpenAI Compatible provider
* change set
* considering default -1 value
* checking maxTokens is set and greater than 0
---------
Co-authored-by: Felipe Albuquerque <felipe.albuquerque@dell.com>
* feat: add gemini 2.5 pro to Google AI Studio avaliable Models
* Create cuddly-countries-tap.md
---------
Co-authored-by: Daniel Steigman <35793213+NightTrek@users.noreply.github.com>
* Accounts Modal mocked
* fix dividers
* Fix flex styling
* Fix account card in other views
* Move AccountInfoCard to tailwind and fix flex styling
* Get credits data from endpoint
* refactor creditshistorytable
* prettier
* changeset
* Properly connect and format data from endpoint
* Overflow scroll box
* linter
* Update webview-ui/src/utils/format.ts
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Make svg asset a component
* fix svg type
* Use clineprovider weakref
* Move shared types to shared folder
* Make account view buttons full width
* Make history table take full height
* Update webview-ui/src/components/account/AccountView.tsx
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* Calculate and display total tasks and checkpoints size
* changeset
* Remove logs and add try/catch to file deletion
* call postMessage from HistoryView instead
* Add question options
* Fixes
* Fix taskheader for anthropic only showing cache info after first request
* Add plan mode options
* Fixes
* Start task header not expanded
* feat: Enable VPC endpoint configuration for Amazon Bedrock in AWS Profile mode
This update allows specifying a VPC endpoint when connecting to Amazon Bedrock using AWS Profile mode. It ensures that all API requests stay within a private network and do not traverse the public internet.
* Hide VPC textfield behind toggle
---------
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* Set up branch
* Feat/add sambanova provider (#2142)
* feat(api): Add SambaNova provider type definitions
- Add 'sambanova' to ApiProvider type
- Add sambanovaApiKey to ApiHandlerOptions interface
- Add SambaNova model definitions
* feat(api): Implement SambaNova provider handler
- Create SambanovaHandler class
- Implement createMessage and getModel methods
- Register the provider in the API factory
* feat(ui): Add SambaNova provider UI components
- Add SambaNova to provider dropdown
- Add UI components for API key and model selection
* feat(storage): Update secret storage for SambaNova API key
- Update SecretKey type to include sambanovaApiKey
- Update getState method to include the SambaNova API key
- Update API configuration handler to store the SambaNova API key
* feat(sambanova): format fix
* feat(sambanova): adding previously untracked files
* fix: will ensure that when no model ID is explicitly selected for the Sambanova provider, it will use the default model ID that's already defined in the codebase (Meta-Llama-3.3-70B-Instruct)
* fix: changing how the dropdown is created by following existing pattern
* fix: changing how the dropdown is created by following existing pattern
* fix: added SamanovaHandler to buildApiHandler
---------
Co-authored-by: saad.khan.hd <saad.khan@hd.digital>
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* support deepseek and qwen models
* remove unused imports
* Add missing API provider implementation
---------
Co-authored-by: saad-noodleseed <saad@noodleseed.com>
Co-authored-by: saad.khan.hd <saad.khan@hd.digital>
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* Revert "Merge pull request #1964 from cline/ocasta181/ENG-209"
This reverts commit ca17a06618, reversing
changes made to 6b9c2a1a45.
* Set hard 300kb limit on file size cline reads into context
* Add changeset
* add temperature to openai compatible model configuration
* prevent type errors
* improved options layout
* changeset
* move temperature to openaimodelinfo
* type error
* use nullish coalescing operator
* Allow user to pass decimal values
* Rename openAiTemperature to temperature
---------
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* add qwen qwq-plus model
* rename variable
* set up branch
* segment alibaba models between mainland and international
* allow temperature passing to qwq
* changeset
---------
Co-authored-by: yaojunWang <gooqle.com.hk@gmail.com>
* remove claude tool use backwards compatability
* remove anthropic tool use from mistal-format
* further simplify mistral-format
* fix linting error in unrelated file
* welcome page now shows login button
* adding cline apikey to context
* added cline provider + making sure welcome page closes
* adjusting welcome page language
* swapped cline provider to use openai flavor requests
* handling credit limit errors (super hacky ugh)
* welcome view hiding api options by default
* added back account page and relying more heavily on the firebase custom token to ensure persistent login
* persisting login state through window reloads
* renaming Account -> Cline Account
* use openrouter format with cline api
* Update welcome experience
* Fix error handling
* added generation details tracking to cline provider
* small edit to account view
* logging cline instead of openrouter
* logging cline instead of openrouter
* response.data instead of response.data.data
* set isdev to false for prerelease
* changeset added
* Update tricky-zebras-talk.md
* Update tricky-zebras-talk.md
* welcome page language
* more logging and updated authentication system to be more robust and reliable
* only removing custom token on explicit log out action
* even more aggressive custom token fetching + storing in apiConfig
* moving firebase auth logic to webview because nodejs firebase token refresh is not supported
* cleaned up all old logic for extension server side auth persistence
* reconciling merge conflicts with main
* reconciling merge conflicts
* package-lock.json
* package lock
* package-lock
* packagejson + lock
* use standard API Request Failed title for all API errors while maintaining detailed credit limit information in error content
* deleting packagejson line for vertexai
* reverting package-lock changes
* package-lock.json straight from main
* removing redundant csp allowance
* Fix package-lock
* Add missing options to cline stream
* Remove duplicate csp
* Remove email subscribe
* Update welcome page and cline account view
* Fixes
* Fix errors
---------
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* rebased to main
* Added files from patch
* restored ClineProvider call to Migration deletes, added try try catch
* Restored changes to Cline.ts
* Updated tests
* Updated tests, prettier
* Optimize commit operation
* Fixed branch deletion, cleanup
* Cleanup
* minor cleanuop
* changeset
* Fix checkpoint tracker initial commit not tracking any files
* Ensure we are getting hash from branch and not main
* Revert first commit logic
* Change to get the correct hash for 'See new changes' on new and resumed tasks
* Make checkpoints commits async
* Update .changeset/cold-beers-laugh.md
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
---------
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* updated service with specific events
* added telemetry to understand task creation and tool usage and task completion
* updated the telemetry system to track system messages and user messages
* added better message counting telemetry
* removed a create task which was suppose to be a restart
* updated so we can detect task completion properly
* switched to production key
* added changeset
* Modify telemetry signatures
* Fixes
* remove redundant task created
* Update src/services/telemetry/TelemetryService.ts
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Clean up apiconfiguration
---------
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Fixed problem with “win+shift+a” shortcut not working in Windows
* fix package-lock.json
* Revert "fix package-lock.json"
This reverts commit 1ffdfef4f3.
* Add retries to bedrock createMessage
Add retries to Bedrock's createMessage as indicated by [this](https://github.com/cline/cline/pull/1605#issuecomment-2665904349)
Similar to [this comment](https://github.com/cline/cline/pull/1605#issuecomment-2666290702) I am also experiencing a 429 every once in a while. Measuring a before/after, it's about a 90% improvement when there's no prompt caching. I'm going to add some logging and see if I can track it down further but honestly this is probably worth it as is.
* Add changeset
* 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
* Add changeset
* Update supported models
* Fix copy
---------
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* Extract reuseable ModelDescriptionMarkdown from OpenRouter model picker
* Requesty: Add model picker component
* Refactor readOpenRouterModels to allow any dynamic list filename
* Extract parsePrice to allow reuse by other providers
* Simplify model display name switch case
* Requesty: Add dynamic model list fetching from API
* Requesty: Add default model selection
* Requesty: Specify max_tokens when sending request
* Add changeset
---------
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* Add OpenAI compatible cost calculation
* Requesty: Prepare for correct price calculation
* Native OpenAI: Update model caching info
According to [OpenAI's
website](https://platform.openai.com/docs/guides/prompt-caching),
gpt-4o, gpt-4o-mini, o1-preview and o1-mini support caching.
For gpt-4o, even though gpt-4o-2024-05-13 and
chatgpt-4o-latest do no support caching, users will see there are no
cached tokens, which will help avoid confusion.
* Native OpenAI: Call getModel once
* Native OpenAI: Extract yield usage into method
* Native OpenAI: Add caching and cost info to task header
* DeepSeek: Add cost info to task header
* Add changeset
**Branch-Per-Task:** Each repo now has a single Shadow Git repo, with separate branches per task (instead of one Shadow Git repo per task).
- **Legacy Support:** Existing Checkpoints remain functional, while all new Checkpoints use branch-per-task.
- **Commits:** Legacy tasks commit to legacy Checkpoints; new tasks commit using branch-per-task.
- **Diffing & Deletions:** Both legacy and branch-per-task Checkpoints support diffing and deletion.
No migration needed—existing tasks stay as-is, and new tasks adopt **branch-per-task** automatically.
* Initial webview vite migration
* Make vite work
* Fix test running
* Enable HMR, disable vite chunking
* Silence type checking errors
* Vite doesn't use browserslist
* get rid of breaking css flag
* add doc to getHMRHtmlContent
* Make it work
* Changeset
* Add IS_DEV to env definitions
* Update tasks to include HMR
* Update CSP image rules
* prettier
* reintroduce IS_DEV in env
* add new deps to pkg lock
---------
Co-authored-by: Dennis Bartlett <bartlett.dc.1@gmail.com>
* showing images after mcp responses
* images now open in a webview tab
* Open Graph link metadata display for MCP responses
* almost totally working rich mcp response display with images and embeds
* closer
* header for response display
* updated styling of mcp responses
* default to plain text if rich response is loading
* formatting fix
* added changeset output
* remove some old code
* add the dashed border back
* avoid XSS attacks by sanitizing the preview image urls and embeds
* remove incorrect vendor prefix css
* delete old version of open image implementation
* undo some comment removals and cleanups to make PR easier to read
---------
Co-authored-by: Andrei Edell <andrei@nugbase.com>
* feat(vertex): Add prompt caching support for Claude on Vertex AI
* Remove countTokens update claude 3.7
* claude-3-7-sonnet@20250219 support in Vertex AI as default model
* v0.1 of the cline rules file for the extension
* added changeset
* improved the cline rules file
* added new version of the webview state definition
* added more in depth pass from gemini
* Reapply "Add IS_DEV and Hot Reloading to debug. (#1895)" (#1917)
This reverts commit 25ea46aa8d.
* Update TODO to be more explicit. Update logic for checking IS_DEV
* Update TODO with even more explanation. (Now with 2x more explanation per explanation
Anthropic's Bedrock SDK creates an AWS credential provider chain [1]
for each request it needs to sign. By doing so right before actually
having to sign the request, it can utilize any session created after
VSCode launched (i.e. outside of the process), and it can renew the
sessions every time necessary transparently for the user.
Cline, on the other hand, by transforming the provided AWS_PROFILE into
a key / secret / session, as part of client initialization, completely
short-circuits this, making it very difficult for users in companies where
sessions are short-lived. Furthermore, Cline would silently ignore the
provided AWS_PROFILE if there isn't a current/non-expired session at the time
of initialization, pass null keys to the Bedrock SDK, which would then
make use the default profile, which may not be configured or authorized
to use AWS Bedrock (as most AWS SSO hub accounts would). From the
perspective of the user, this would manifest itself as an "supported
country" error or unhelpful errors that are basically impossible to
debug without attaching a debugger to Cline.. and such developers may
end up reaching out to their DevOps/IT teams for help, which also could
turn into a waste of time.
This PR addresses the aforementioned issues by resolving the credentials on
every invocation.
1: https://github.com/anthropics/anthropic-sdk-typescript/blob/61b55599d50d9c93840e4736cb756cb3a62b0696/packages/bedrock-sdk/src/auth.ts#L19
* add alibaba qwen-max qwen-plus qwen-turbo qwen-coder-plus stable/latest models
* add alibaba qwen-max qwen-plus qwen-turbo qwen-coder-plus stable/latest models
* Provide the api line choice for international user
* Remove redundant code
* Copy fixes
* Create dry-socks-talk.md
* fix problem what is when you use Qwen api provider and then you want to change the api provider ,the apiline dropdown will obscure your api provider drop-down options
* feat: add qwen2.5-coder models
Description
Add new models as list:
qwen2.5-coder-32b-instruct
qwen2.5-coder-14b-instruct
qwen2.5-coder-7b-instruct
qwen2.5-coder-3b-instruct
Doc: https://help.aliyun.com/zh/model-studio/getting-started/models#9f8890ce29g5u
* add changeset
* feat: add all alibaba qwen2.5 coder models
---------
Co-authored-by: yaojunWang <gooqle.com.hk@gmail.com>
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
Co-authored-by: 刘耸 <song.liu@yo-star.com>
* feat: add support for qwen vl models
* feat: add support for qwen vl models
* feat: updated the price of the Qianwen model following the BaiLian platform documentation
---------
Co-authored-by: 执无 <jiyong.wjy@alibaba-inc.com>
* add alibaba qwen-max qwen-plus qwen-turbo qwen-coder-plus stable/latest models
* add alibaba qwen-max qwen-plus qwen-turbo qwen-coder-plus stable/latest models
* Provide the api line choice for international user
* Remove redundant code
* Copy fixes
* Create dry-socks-talk.md
* fix problem what is when you use Qwen api provider and then you want to change the api provider ,the apiline dropdown will obscure your api provider drop-down options
---------
Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
* Show status code / message when API request error occurs.
* Moved logic to a helper method.
* Different error message format.
* Removed old comment.
---------
Co-authored-by: Michael Overhorst <m.overhorst@spotonmedics.nl>
- Add all available Mistral models with specific version numbers
- Include Premier models (Mistral Large, Pixtral, Ministral, etc.)
- Include Free models (Mistral Small, Pixtral 12B, etc.)
- Set correct token limits and pricing for each model
Fixes#1609
* Provide explicit command chaining instructions
* Added shell detection for powershell
The default-shell library being used only returns cmd for windows users. This change will utilize VS Code API calls to determine the user's shell/terminal settings. MacOS & Linux will, for now, continue to use the existing method. Still working on tests.
* Replaced default-shell, added tests
Replaced default-shell with local code that replicates the old behavior on macOS & Linux
Windows shell detection uses VS Code settings to get the user's default terminal profile
Adjusted prompt change
* One small change
* Removed & attributed old package + typo
* Added VSC load for other OSes, refactor, better tests
* Fixed system.ts explicit git lines
* Added back changes for terminal-command-chaining
* One minor, but important change
* wip
* LLMFileAccessController and tests
* added class and tests
* cleaning up
* formatting
* removing some defaults
* package json and remove defaults list
# 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.
- **Core Extension**: Anything inside the src folder, organized into modular components
- **Core Extension State**: Managed by the Controller class in src/core/controller/index.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 components
- **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 Architecture
The core extension follows a clear hierarchical structure:
1.**WebviewProvider** (src/core/webview/index.ts): Manages the webview lifecycle and communication
2.**Controller** (src/core/controller/index.ts): Handles webview messages and task management
3.**Task** (src/core/task/index.ts): Executes API requests and tool operations
This architecture provides clear separation of concerns:
- WebviewProvider focuses on VSCode webview integration
- Controller manages state and coordinates tasks
- Task handles the execution of AI requests and tool operations
### WebviewProvider Implementation
The WebviewProvider class in `src/core/webview/index.ts` is responsible for:
- Managing multiple active instances through a static set (`activeInstances`)
- Implementing HTML content generation with proper CSP headers
- Supporting Hot Module Replacement (HMR) for development
- Setting up message listeners between the webview and extension
The WebviewProvider maintains a reference to the Controller and delegates message handling to it. It also handles the creation of both sidebar and tab panel webviews, allowing Cline to be used in different contexts within VSCode.
### Core Extension State
The `Controller` 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 `Controller` handles the distribution of state to both the core extension and webview components. It also coordinates state across multiple extension instances, ensuring consistency.
State synchronization between instances is handled through:
- File-based storage for task history and conversation data
- VSCode's global state API for settings and configuration
- Secrets storage for sensitive information
- Event listeners for file changes and configuration updates
The Controller implements methods for:
- Saving and loading task state
- Managing API configurations
- Handling user authentication
- Coordinating MCP server connections
- Managing task history and checkpoints
### 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`).
The ExtensionStateContext handles:
- Real-time updates through message events
- Partial message updates for streaming content
- State modifications through setter methods
- Type-safe access to state through a custom hook
## API Provider System
Cline supports multiple AI providers through a modular API provider system. Each provider is implemented as a separate module in the `src/api/providers/` directory and follows a common interface.
### API Provider Architecture
The API system consists of:
1.**API Handlers**: Provider-specific implementations in `src/api/providers/`
2.**API Transformers**: Stream transformation utilities in `src/api/transform/`
3.**API Configuration**: User settings for API keys and endpoints
4.**API Factory**: Builder function to create the appropriate handler
Key providers include:
- **Anthropic**: Direct integration with Claude models
- **OpenRouter**: Meta-provider supporting multiple model providers
- **AWS Bedrock**: Integration with Amazon's AI services
- **Gemini**: Google's AI models
- **Ollama**: Local model hosting
- **LM Studio**: Local model hosting
- **VSCode LM**: VSCode's built-in language models
### API Configuration Management
API configurations are stored securely:
- API keys are stored in VSCode's secrets storage
- Model selections and non-sensitive settings are stored in global state
- The Controller manages switching between providers and updating configurations
The system supports:
- Secure storage of API keys
- Model selection and configuration
- Automatic retry and error handling
- Token usage tracking and cost calculation
- Context window management
### Plan/Act Mode API Configuration
Cline supports separate model configurations for Plan and Act modes:
- Different models can be used for planning vs. execution
- The system preserves model selections when switching modes
- The Controller handles the transition between modes and updates the API configuration accordingly
## Task Execution System
The Task class is responsible for executing AI requests and tool operations. Each task runs in its own instance of the Task class, ensuring isolation and proper state management.
### Task Execution Loop
The core task execution loop follows this pattern:
- 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
### Context Management System
The Context Management System handles conversation history truncation to prevent context window overflow errors. Implemented in the `ContextManager` class, it ensures long-running conversations remain within model context limits while preserving critical context.
Key features:
1.**Model-Aware Sizing**: Dynamically adjusts based on different model context windows (64K for DeepSeek, 128K for most models, 200K for Claude).
2.**Proactive Truncation**: Monitors token usage and preemptively truncates conversations when approaching limits, maintaining buffers of 27K-40K tokens depending on the model.
3.**Intelligent Preservation**: Always preserves the original task message and maintains the user-assistant conversation structure when truncating.
4.**Adaptive Strategies**: Uses different truncation strategies based on context pressure - removing half of the conversation for moderate pressure or three-quarters for severe pressure.
5.**Error Recovery**: Includes specialized detection for context window errors from different providers with automatic retry and more aggressive truncation when needed.
### Task State & Resumption
The Task class provides robust task state management and resumption capabilities:
consttask=`Set up the MCP server from ${mcpDetails.githubUrl}...`
// Initialize task and show chat view
awaitthis.initClineWithTask(task)
}
}
```
## 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 follows a WebviewProvider -> Controller -> Task flow
- 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.
# 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
@@ -38,8 +37,12 @@ docs/**
!node_modules/@vscode/codicons/dist/codicon.css
!node_modules/@vscode/codicons/dist/codicon.ttf
# Include KaTeX CSS and fonts for LaTeX rendering
!webview-ui/node_modules/katex/dist/katex.min.css
!webview-ui/node_modules/katex/dist/fonts/**
# Include default themes JSON files used in getTheme
- Disables autocaptures when initializing feature flags
## [3.14.0]
- Add support for custom model ID in AWS Bedrock provider, enabling use of Application Inference Profile (Thanks @clicube!)
- Add more robust caching & cache tracking for gemini & vertex providers
- Add support for LaTeX rendering
- Add support for custom API request timeout. Timeouts were 15-30s, but can now be configured via settings for OpenRouter/Cline & Ollama (Thanks @WingsDrafterwork!)
- Add truncation notice when truncating manually
- Add a timeout setting for the terminal connection, allowing users to set a time to wait for terminal startup
- Add copy button to code blocks
- Add copy button to markdown blocks (Thanks @weshoke!)
- Add checkpoints to more messages
- Add slash command to create a new rules file (/newrule)
- Add cache ui for open router and cline provider
- Add Amazon Nova Premier model to Bedrock (Thanks @watany!)
- Add support for cursorrules and windsurfrules
- Add support for batch history deletion (Thanks @danix800!)
- Improve Drag & Drop experience
- Create clinerules folder when creating new rule if it's needed
- Enable pricing calculation for gemini and vertex providers
- Refactor message handling to not show the MCP View of the server modal
- Migrate the addRemoteServer to protobus (Thanks @DaveFres!)
- Update task header to be expanded by default
- Update Gemini cache TTL time to 15 minutes
- Fix race condition in terminal command usage
- Fix to correctly handle `import.meta.url`, avoiding leading slash in pathname for Windows (Thanks @DaveFres!)
- Fix for git commit mentions in repos with no git commits
- Fix cost calculation (Thanks @BarreiroT!)
## [3.13.3]
- Add download counts to MCP marketplace items
- Add `/compact` command
- Add prompt caching to gemini models in cline / openrouter providers
- Add tooltips to bottom row menu
## [3.13.2]
- Add Gemini 2.5 Flash model to Vertex and Gemini Providers (Thanks monotykamary!)
- Add Caching to gemini provider (Thanks arafatkatze!)
- Add thinking budget support to Gemini Models (Thanks monotykamary!)
- Add !include .file directive support for .clineignore (Thanks watany-dev!)
- Improve slash command functionality
- Improve prompting for new task tool
- Fix o1 temperature being passed to the azure api (Thanks treeleaves30760!)
- Fix to make "add new rule file" button functional
- Fix Ollama provider timeout, allowing for a larger loading time (Thanks suvarchal!)
- Fix Non-UTF-8 File Handling: Improve Encoding Detection to Prevent Garbled Text and Binary Misclassification (Thanks yt3trees!)
- Fix settings to not reset by changing providers
- Fix terminal outputs missing commas
- Fix terminal errors caused by starting non-alphanumeric outputs
- Fix auto approve settings becoming unset
- Fix Mermaid syntax error in documentation (Thanks tuki0918!)
- Remove supportsComputerUse restriction and support browser use through any model that supports images (Thanks arafatkatze!)
## [3.13.1]
- Fix bug where task cancellation during thinking stream would result in error state
## [3.13.0]
- Add Cline rules popover under the chat field, allowing you to easily add, enable & disable workspace level or global rule files
- Add new slash command menu letting you type “/“ to do quick actions like creating new tasks
- Add ability to edit past messages, with options to restore your workspace back to that point
- Allow sending a message when selecting an option provided by the question or plan tool
- Add command to jump to Cline's chat input
- Add support for OpenAI o3 & 4o-mini (Thanks @PeterDaveHello and @arafatkatze!)
- Add baseURL option for Google Gemini provider (Thanks @owengo and @olivierhub!)
- Add support for Azure's DeepSeek model. (Thanks @yt3trees!)
- Add ability for models that support it to receive image responses from MCP servers (Thanks @rikaaa0928!)
- Improve search and replace diff editing by making it more flexible with models that fail to follow structured output instructions. (Thanks @chi-cat!)
- Add detection of Ctrl+C termination in terminal, improving output reading issues
- Fix issue where some commands with large output would cause UI to freeze
- Fix issue with xAI reasoning content not being parsed (Thanks @mrubens!)
## [3.12.3]
- Add copy button to MermaidBlock component (Thanks @cacosub7!)
- Add the ability to fetch from global cline rules files
- Add icon to indicate when a file outside of the users workspace is edited
## [3.12.2]
- Add gpt-4.1
## [3.12.1]
- Use visual checkpoint indicator to make it clear when checkpoints are created
- Big shoutout to @samuel871211 for numerous code quality improvements, refactoring contributions, and webview performance improvements!
- Use improved context manager
## [3.12.0]
- Add favorite toggles for models when using the Cline & OpenRouter providers
- Add auto-approve options for edits/reads outside of the workspace
- Improve diff editing animation for large files
- Add indicator showing number of diff edits when Cline edits a file
- Add streaming support and reasoning effort option to xAI's Grok 3 Mini
- Add settings button to MCP popover to easily modify installed servers
- Fix bug where browser tool actions would show unparsed results in the chat view
- Fix issue with new checkpoints popover hiding too quickly
- Fix duplicate checkpoints bug
- Improve Ollama provider with retry mechanism, timeout handling, and improved error handling (thanks suvarchal!)
## [3.11.0]
- Redesign checkpoint UI to declutter chat view by using a subtle indicator line that expands to a popover on hover, with a new date indicator for when it was created
- Add support for xAI's provider's Grok 3 models
- Add more robust error tracking for users opted in to telemetry (thank you for helping us make Cline better!)
## [3.10.1]
- Add CMD+' keyboard shortcut to add selected text to Cline
- Cline now auto focuses the text field when using 'Add to Cline' shortcut
- Add new 'Create New Task' tool to let Cline start a new task autonomously!
- Fix Mermaid diagram issues
- Fix Gemini provider cost calculation to take new tiered pricing structure into account
## [3.10.0]
- Add setting to let browser tool use local Chrome via remote debugging, enabling session-based browsing. Replaces sessionless Chromium, unlocking debugging and productivity workflows tied to your real browser state.
- Add new auto-approve option to approve _ALL_ commands (use at your own risk!)
- Add modal in the chat area to more easily enable or disable MCP servers
- Add drag and drop of file/folders into cline chat (Thanks eljapi!)
- Add prompt caching for LiteLLM + Claude (Thanks sammcj!)
- Add Improved context management
- Fix MCP auto approve toggle issues being out of sync with settings
## [3.9.2]
- Add recommended models for Cline provider
- Add ability to detect when user edits files manually so Cline knows to re-read, leading to reduced diff edit errors
- Add improvements to file mention searching for faster searching
- Add scoring logic to file mentions to sort and exclude results based on relevance
- Add Support for Bytedance Doubao (Thanks Tunixer!)
- Fix to prevent duplicate BOM (Thanks bamps53!)
## [3.9.1]
- Add Gemini 2.5 Pro Preview 03-25 to Google Provider
## [3.9.0]
- Add Enable extended thinking for LiteLLM provider (Thanks @jorgegarciarey!)
- Add a tab for configuring local MCP Servers
- Fix issue with DeepSeek API provider token counting + context management
- Fix issues with checkpoints hanging under certain conditions
## [3.8.6]
- Add UI for adding remote servers
- Add Mentions Feature Guide and update related documentation
- Fix bug where menu would open in sidebar and open tab
- Fix issue with Cline accounts not showing user info in popout tabs
- Fix bug where menu buttons wouldn't open view in sidebar
## [3.8.5]
- Add support for remote MCP Servers using SSE
- Add gemini-2.5-pro-exp-03-25 to Vertex AI (thanks @arri-cc!)
- Add access to history, mcp, and new task buttons in popout view
- Add task feedback telemetry (thumbs up/down on task completion)
- Add toggle disabled for remote servers
- Move the MCP Restart and Delete buttons and add an auto-approve all toggle
- Update Requestly UX for model selection (thanks @arafatkatze!)
- Add escape for html content for gemini when running commands
- Improve search and replace edit failure behaviors
## [3.8.4]
- Add Sambanova Deepseek-V3-0324
- Add cost calculation support for LiteLLM provider
- Fix bug where Cline would use plan_mode_response bug without response parameter
## [3.8.3]
- Add support for SambaNova QwQ-32B model
- Add OpenAI "dynamic" model chatgpt-4o-latest
- Add Amazon Nova models to AWS Bedrock
- Improve file handling for NextJS folder naming (fixes issues with parentheses in folder names)
- Add Gemini 2.5 Pro to Google AI Studio available models
- Handle "input too large" errors for Anthropic
- Fix "See more" not showing up for tasks after task un-fold
- Fix gpt-4.5-preview's supportsPromptCache value to true
## [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 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 guard 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
@@ -32,7 +32,7 @@ English | <a href="./locales/es/README.md" target="_blank">Español</a> | <a hre
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
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:
- 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)
description: "Learn how to set up AWS Bedrock with Cline using credentials authentication. This guide covers AWS environment setup, regional access verification, and secure integration with the Cline VS Code extension."
---
### Overview
- **AWS Bedrock:** A fully managed service that offers access to leading generative AI models (e.g., Anthropic Claude, Amazon Titan) through AWS.\
[Learn more about AWS Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html).
- **Cline:** A VS Code extension that acts as a coding assistant by integrating with AI models—empowering developers to generate code, debug, and analyze data.
- **Enterprise Focus:** This guide is tailored for organizations with established AWS environments (using IAM roles, AWS SSO, AWS Organizations, etc.) to ensure secure and compliant usage.
---
### Step 1: Prepare Your AWS Environment
#### 1.1 Create or Use an IAM Role/User
1. **Sign in to the AWS Management Console:**\
[AWS Console](https://aws.amazon.com/console/)
2. **Access IAM:**
- Search for **IAM (Identity and Access Management)** in the AWS Console.
- Either create a new IAM user or use your enterprise's AWS SSO to assume a dedicated role for Bedrock access.
- [AWS IAM User Guide](https://docs.aws.amazon.com/IAM/latest/UserGuide/introduction.html)
#### 1.2 Attach the Required Policies
1. **Attach the Managed Policy:**
- Attach the **`AmazonBedrockFullAccess`** managed policy to your user/role.\
- Ensure your policy includes permissions for model invocation (e.g., `bedrock:InvokeModel` and `bedrock:InvokeModelWithResponseStream`), model listing, and AWS Marketplace actions (like `aws-marketplace:Subscribe`).
- _Enterprise Tip:_ Apply least-privilege practices by scoping resource ARNs and using [Service Control Policies (SCPs)](https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html) to restrict access where necessary.
---
### Step 2: Verify Regional and Model Access
#### 2.1 Choose and Confirm a Region
1. **Select a Region:**\
AWS Bedrock is available in multiple regions (e.g., US East, Europe, Asia Pacific). Choose the region that meets your latency and compliance needs.\
[AWS Global Infrastructure](https://aws.amazon.com/about-aws/global-infrastructure/regions_az/)
2. **Verify Model Access:**
- In the AWS Bedrock console, confirm that the models your team requires (e.g., Anthropic Claude, Amazon Titan) are marked as "Access granted."
- **Note:** Some advanced models might require an [Inference Profile](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-profiles-prereq.html) if not available on-demand.
#### 2.2 Set Up AWS Marketplace Subscriptions (if needed)
1. **Subscribe to Third-Party Models:**
- Navigate to the AWS Bedrock console and locate the model subscription section.
- For models from third-party providers (e.g., Anthropic), accept the terms to subscribe.
- Model subscriptions are often managed centrally. Confirm with your cloud team if a standard subscription process is in place.
---
### Step 3: Configure the Cline VS Code Extension
#### 3.1 Install and Open Cline
1. **Install VS Code:**\
Download from the [VS Code website](https://code.visualstudio.com/).
2. **Install the Cline Extension:**
- Open VS Code.
- Go to the Extensions Marketplace (`Ctrl+Shift+X` or `Cmd+Shift+X`).
- Search for **Cline** and install it.
#### 3.2 Configure Cline Settings
1. **Open Cline Settings:**
- Click on the settings ⚙️ to select your API Provider.
2. **Select AWS Bedrock as the API Provider:**
- From the API Provider dropdown, choose **AWS Bedrock**.
3. **Enter Your AWS Credentials:**
- Input your **Access Key** and **Secret Key** (or use temporary credentials if using AWS SSO).
- Specify the correct **AWS Region** (e.g., `us-east-1` or your enterprise-approved region).
4. **Select a Model:**
- Choose an on-demand model (e.g., **anthropic.claude-3-5-sonnet-20241022-v2:0**).
5. **Save and Test:**
- Click **Done/Save** to apply your settings.
- Test the integration by sending a simple prompt (e.g., "Generate a Python function to check if a number is prime.").
---
### Step 4: Security, Monitoring, and Best Practices
1. **Secure Access:**
- Prefer AWS SSO/federated roles over long-lived IAM credentials.
- [AWS IAM Best Practices](https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html)
2. **Enhance Network Security:**
- Consider setting up [AWS PrivateLink](https://docs.aws.amazon.com/vpc/latest/userguide/endpoint-services-overview.html) to securely connect to Bedrock.
3. **Monitor and Log Activity:**
- Enable AWS CloudTrail to log Bedrock API calls.
- Use CloudWatch to monitor metrics like invocation count, latency, and token usage.
- Set up alerts for abnormal activity.
4. **Handle Errors and Manage Costs:**
- Implement exponential backoff for throttling errors.
- Use AWS Cost Explorer and set billing alerts to track usage.\
- Periodically review IAM roles and CloudTrail logs.
- Follow internal data privacy and governance policies.
---
### Conclusion
By following these steps, your enterprise team can securely integrate AWS Bedrock with the Cline VS Code extension to accelerate development:
1. **Prepare Your AWS Environment:** Create or use a secure IAM role/user, attach the `AmazonBedrockFullAccess` policy, and ensure necessary permissions.
2. **Verify Region and Model Access:** Confirm that your selected region supports your required models and subscribe via AWS Marketplace if needed.
3. **Configure Cline in VS Code:** Install and set up Cline with your AWS credentials and choose an appropriate model.
4. **Implement Security and Monitoring:** Use best practices for IAM, network security, monitoring, and cost management.
For further details, consult the [AWS Bedrock Documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html) and coordinate with your internal cloud team. Happy coding!
---
_This guide will be updated as AWS Bedrock and Cline evolve. Always refer to the latest documentation and internal policies for up-to-date practices._
description: "Learn how to configure AWS Bedrock to use AWS Profiles for authentication with Cline, focusing on SSO/Federated roles for secure access."
---
### Overview
Cline offers the option of utilizing AWS credentials or AWS profiles to access AWS Bedrock services. SSO/Federated roles are suggested over Legacy IAM configuration; this guide describes how to configure your environment so that Cline uses SSO roles for authentication.
---
### Configuration Steps
1. Install the [latest version](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html) of AWS CLI
- Follow the AWS docs to install your OS-specific version of AWS CLI
2. [Configure IAM authentication](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-sso.html) with the AWS CLI
- If you do not already have AWS access through the IAM Identity Center, follow the [IAM User Guide](https://docs.aws.amazon.com/singlesignon/latest/userguide/getting-started.html) to set up IAM users and roles. Ensure you have a `PowerUserAccess` role.
- If you have access to AWS through your employer, open your AWS access portal and find the appropriate account. Ensure you have `PowerUserAccess` permissions.
- Open the `Access keys` link and note the `SSO start URL` and `SSO region`, which are needed in the next step
3. Continue configuring your profile using [the `aws configure sso` CLI wizard](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-sso.html#cli-configure-sso-configure)
- Once configured, use the following command to authenticate the AWS CLI: `aws sso login --profile <AWS-profile-name>`
- Note which profile name you attach to your AWS account, this is needed to configure Cline in the following steps
4. If you haven't already done so, install VSCode and the Cline extension. Consult the [Getting Started](/getting-started) page for guidance.
5. Open the Cline extension, then click on the settings button ⚙️ to select your API Provider.
- From the API Provider dropdown, select AWS Bedrock
- Select the AWS Profile radio button, then enter the AWS Profile Name from step 3
- Select your AWS Region from the dropdown menu
- Selecting the cross-region inference checkbox is required for some models
description: "Configure GCP Vertex AI with Cline to access leading generative AI models like Claude 3.5 Sonnet v2. This guide covers GCP environment setup, authentication, and secure integration for enterprise teams."
---
### Overview
**GCP Vertex AI:**\
A fully managed service that provides access to leading generative AI models—such as Anthropic's Claude 3.5 Sonnet v2—through Google Cloud.\
[Learn more about GCP Vertex AI](https://cloud.google.com/vertex-ai).
This guide is tailored for organizations with established GCP environments (leveraging IAM roles, service accounts, and best practices in resource management) to ensure secure and compliant usage.
- This instructs Google Cloud client libraries (and Cline) to use this key
5. **Restart VS Code:**\
Launch VS Code from a terminal where the `GOOGLE_APPLICATION_CREDENTIALS` variable is set
---
### Step 5: Security, Monitoring, and Best Practices
#### 5.1 Enforce Least Privilege
- **Principle of Least Privilege:**\
Only grant the minimum necessary permissions. Custom roles can offer finer control compared to broad predefined roles
- **Best Practices:**\
Refer to [GCP IAM Best Practices](https://cloud.google.com/iam/docs/best-practices)
#### 5.2 Manage Resource Access
- **Project vs. Resource-Level Access:**\
Access can be managed at both levels. Note that resource-level permissions (e.g., for BigQuery or Cloud Storage) add to, but do not override, project-level policies
#### 5.3 Monitor Usage and Quotas
- **Model Observability Dashboard:**
- In the Vertex AI Console, navigate to the **Model Observability** dashboard
- Monitor metrics such as request throughput, latency, and error rates (including 429 quota errors)
- **Quota Management:**
- If you encounter 429 errors, check the **IAM & Admin > Quotas** page
- Request a quota increase if necessary\
[Learn more about GCP Vertex AI Quotas](https://cloud.google.com/vertex-ai/docs/quotas)
#### 5.4 Service Agents and Cross-Project Considerations
- **Service Agents:**\
Be aware of the different service agents:
- Vertex AI Service Agent
- Vertex AI RAG Data Service Agent
- Vertex AI Custom Code Service Agent
- Vertex AI Extension Service Agent
- **Cross-Project Access:**\
For resources in other projects (e.g., BigQuery, Cloud Storage), ensure that the appropriate roles (BigQuery Data Viewer, Storage Object Viewer) are assigned
---
### Conclusion
By following these steps, your enterprise team can securely integrate GCP Vertex AI with the Cline VS Code extension to harness the power of **Claude 3.5 Sonnet v2**:
- **Prepare Your GCP Environment:**\
Create or use a project, configure IAM with least privilege, and ensure necessary roles (including the Vertex AI Service Agent role) are attached
- **Verify Regional and Model Access:**\
Confirm that your chosen region supports Claude 3.5 Sonnet v2 and that the model is enabled
- **Configure Cline in VS Code:**\
Install Cline, enter your project ID, select the appropriate region, and choose the model
- **Set Up Authentication:**\
Use either user credentials (via `gcloud auth application-default login`) or a service account with a JSON key
- **Implement Security and Monitoring:**\
Adhere to best practices for IAM, manage resource access carefully, and monitor usage with the Model Observability dashboard
For further details, please consult the [GCP Vertex AI Documentation](https://cloud.google.com/vertex-ai/docs) and your internal security policies.\
Happy coding!
_This guide will be updated as GCP Vertex AI and Cline evolve. Always refer to the latest documentation for current practices._
description: "Learn how to set up and run LiteLLM with Cline using the Codestral model. This guide covers Docker setup, configuration, and integration with Cline."
---
### Using LiteLLM with Cline
This guide demonstrates how to run a demo for LiteLLM starting with the Codestral model for use with Cline.
#### Prerequisites
- [Docker CLI or Docker Desktop](https://www.docker.com/get-started/) installed to run the LiteLLM image locally
- For this example config: A Codestral API Key (different from the Mistral API Keys)
#### Setup
1. **Create a `.env` file and fill in the appropriate field**
```bash
# Tip: Use the following command to generate a random alphanumeric key:
_Note: Although this is limited to localhost, it's a good practice set LITELLM_MASTER_KEY to something secure_
2. **Configuration**
We'll need to create a `config.yaml` file to contain our LiteLLM configuration. In this case we'll just have one model, 'codestral-latest' and label it 'codestral'
```yaml
model_list:
- model_name: codestral
litellm_params:
model: codestral/codestral-latest
api_key: os.environ/CODESTRAL_API_KEY
```
#### Running the Demo
1. **Startup the LiteLLM docker container**
```bash
docker run \
--env-file .env \
-v $(pwd)/config.yaml:/app/config.yaml \
-p 127.0.0.1:4000:4000 \
ghcr.io/berriai/litellm:main-latest \
--config /app/config.yaml --detailed_debug
```
2. **Setup Cline**
Once the LiteLLM server is up and running you can set it up in Cline:
- Base URL should be `http://0.0.0.0:4000/v1`
- API Key should be the one you set in `.env` for LITELLM_MASTER_KEY
- Model ID is `codestral` or whatever you named it under `config.yaml`
Cline supports major cloud providers like AWS Bedrock and Google's Cloud Vertex; whichever your team currently uses is appropriate, and there's no need to change providers to utilize Cline's features.
For the purpose of this document, we assume your organization will use cloud-based frontier models. Cloud inference providers offer cutting-edge capabilities and the flexibility to select models which best suit your needs.
Certain scenarios may warrant using local models, including handling highly sensitive data, applications requiring consistent low-latency responses, or compliance with strict data sovereignty requirements. If your team needs to utilize local models, see [Running Local Models ](/running-models-locally/read-me-first.mdx)with Cline.
---
## AWS Bedrock Setup Guides
#### [IAM Security Best Practices](https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html) (For administrators)
#### [AWS Bedrock setup for Legacy IAM (AWS Credentials)](/custom-model-configs/aws-bedrock-with-credentials-authentication.mdx)
#### [AWS Bedrock setup for SSO token (AWS Profile)](/custom-model-configs/aws-bedrock-with-profile-authentication.mdx)
#### VPC Endpoint Setup
To protect your team's data, Cline supports VPC (Virtual Private Cloud) endpoints, which create private connections between your data and AWS Bedrock. AWS VPCs enhance security by eliminating the need for public IP addresses, network gateways, or complex firewall rules—essentially creating a private highway for data that bypasses the public internet entirely. By keeping traffic within AWS's private network, teams also benefit from lower latency and more predictable performance when accessing services like AWS Bedrock or custom APIs. For those working with confidential information or operating in highly regulated industries like healthcare or finance, VPCs offers the perfect balance between the accessibility of cloud services and the security of private infrastructure.
---
1. Consult the [AWS guide](https://docs.aws.amazon.com/bedrock/latest/userguide/vpc-interface-endpoints.html) to creating VPC endpoints. This document specifies pre-requisites and describes the syntax used for creating VPC endpoints.
2. Follow the directions for [creating a VPC endpoint](https://docs.aws.amazon.com/vpc/latest/privatelink/create-interface-endpoint.html#create-interface-endpoint-aws) in the AWS console. The image below pertains to steps 4 and 5 of the AWS guide linked above.
**Creating standardized project instructions ensures that all team members work within consistent guidelines. Start by documenting your project's technical foundation, then identify which information needs to be included in the instructions. The exact scope will vary depending on your team's needs, but generally it's best to provide as much information as possible. By creating comprehensive instructions that all team members follow, you establish a shared understanding of how code should be written, tested, and deployed across your project, resulting in more maintainable and consistent software.**
---
Here are a few topics and examples to consider for your team's custom instructions:
1. **Testing framework and specific commands**
- "All components must include Jest tests with at least 85% coverage. Run tests using `npm run test:coverage` before submitting any pull request."
2. **Explicit library preferences**
- "Use React Query for data fetching and state management. Avoid Redux unless specifically required for complex global state. For styling, use Tailwind CSS with our custom theme configuration found in `src/styles/theme.js.`"
3. **Where to find documentation**
- "All API documentation is available in our internal Notion workspace under 'Engineering > API Reference'. For component usage examples, refer to our Storybook instance at `https://storybook.internal.company.com`"
4. **Which MCP servers to use, and for which purposes**
- "For database operations, use the Postgres MCP server with credentials stored in 1Password under 'Development > Database'. For deployments, use the AWS MCP server which requires the deployment role from IAM. Refer to `docs/mcp-setup.md` for configuration instructions."
5. **Coding conventions specific to your project**
- "Name all React components using PascalCase and all helper functions using camelCase. Place components in the `src/components` directory organized by feature, not by type. Always use TypeScript interfaces for prop definitions."
**Model Context Protocol (MCP) servers expand Cline's capabilities by providing standardized access to external data sources and executable functions. By implementing MCP servers, LLM tools can dynamically retrieve and incorporate relevant information from both local and remote data sources. This capability ensures that the models operate with the most current and contextually appropriate data, improving the accuracy and relevance of their outputs.**
---
### Secure Architecture Fundamentals
MCP servers follow a client-server architecture where hosts (LLM applications like Cline) initiate connections through a transport layer to MCP servers. This architecture inherently provides security benefits as it maintains clear separation between components. Enterprise deployments should focus on the proper implementation of this architecture to ensure secure operations, particularly regarding the message exchange patterns and connection lifecycle management. For MCP architecture details, see [MCP Architecture](https://modelcontextprotocol.io/docs/concepts/architecture), and for latest specifications, see [MCP Specifications](https://spec.modelcontextprotocol.io/specification/2024-11-05/).
### Transport Layer Security
For enterprise environments, selecting the appropriate transport mechanism is crucial. While stdio transport works efficiently for local processes, HTTP with Server-Sent Events (SSE) transport requires additional security measures. TLS should be used for all remote connections whenever possible. This is especially important when MCP servers are deployed across different network segments within corporate infrastructure.
### Message Validation and Access Control
The MCP architecture defines standard error codes and message types (Requests, Results, Errors, and Notifications), providing a structured framework for secure communication. Security teams should consider message validation, sanitizing inputs, checking message size limits, and verifying JSON-RPC format. Additionally, implementing resource protection through access controls, path validation, and request rate limiting helps prevent potential abuse of MCP server capabilities.
### Monitoring and Compliance
For enterprise compliance requirements, implementing comprehensive logging of protocol events, message flows, and errors is essential. The MCP architecture supports diagnostic capabilities including health checks, connection state monitoring, and resource usage tracking. Organizations should extend these capabilities to meet their specific compliance needs, particularly for audit trails of all MCP server interactions and resource access patterns.
By leveraging the client-server design of the MCP architecture and implementing appropriate security controls at each layer, enterprises can safely integrate MCP servers into their environments while maintaining their security posture and meeting regulatory requirements.
#### Cline addresses enterprise security concerns through its unique client-side architecture that prioritizes data privacy, secure cloud integration, and transparent operations. Below is a comprehensive overview of how Cline maintains robust security measures for enterprise environments.
---
### Client-Side Architecture
Cline operates exclusively as a client-side VSCode extension with zero server-side components. This fundamental design choice ensures that your code and data remain within your secure environment at all times. Unlike traditional AI assistants that send data to external servers for processing, Cline connects directly to your chosen cloud provider's AI endpoints, keeping all sensitive information within your infrastructure boundaries.
alt="Cline's relationship to local and remote assets"
/>
</Frame>
### Data Privacy Commitment
Cline implements a strict zero data retention policy, meaning your intellectual property never leaves your secure environment. The extension does not collect, store, or transmit your code to any central servers. This approach significantly reduces potential attack vectors that might otherwise be introduced through data transmission to third-party systems. Telemetry collection is optional and requires explicit consent.
### Cloud Provider Integration
Enterprise teams can access cutting-edge AI models through their existing cloud deployments. Cline supports seamless integration with:
- AWS Bedrock
- Google Cloud Vertex AI
- Microsoft Azure
These integrations utilize your organization's existing security credentials, including native IAM role assumption for AWS. This ensures that all AI processing occurs within your corporate cloud environment, maintaining compliance with your established security protocols.
### Open-Source Transparency
Cline's codebase is completely open-source, allowing for comprehensive security auditing by your internal teams. This transparency enables security professionals to verify exactly how the extension functions and confirm that it adheres to your organization's security requirements. Organizations can review the code to ensure it aligns with their security policies before deployment.
### Controlled Modifications
The extension implements safeguards against unauthorized changes to your codebase. Cline requires explicit user approval for all file modifications and terminal commands, preventing accidental or unwanted alterations. This approval-based workflow maintains the integrity of your projects while still providing AI assistance.
### Enterprise Deployment Support
For organizations with strict security review processes, Cline provides comprehensive documentation including detailed deployment diagrams, sequence diagrams illustrating all data flows, and complete security posture documentation. These materials facilitate thorough security reviews and help demonstrate compliance with enterprise data handling standards and regulations.
### Access Control
Enterprise editions of Cline (planned for Q2 2025) will include centralized administration features that allow organizations to:
- Manage user access with customizable permission levels
- Provision accounts with corporate credentials
- Immediately revoke access when needed
- Control which AI providers and LLM endpoints can be used
- Deploy standardized settings across the organization
- Prevent unauthorized use of personal API keys
### Compliance and Governance
Cline's architecture supports compliance with data sovereignty requirements and enterprise data handling regulations. The planned Enterprise Complete edition will further enhance governance with detailed audit logging, compliance reporting, and automated policy enforcement mechanisms.
By combining client-side processing, direct cloud provider integration, and transparent operations, Cline offers enterprise teams a secure way to leverage AI assistance while maintaining strict control over their sensitive code and data.
description: "When working with AI coding assistants, it's easy to lose control as they make rapid changes to your codebase. That's why we built Checkpoints - your safety net for experimenting confidently."
---
Checkpoints automatically save snapshots of your workspace after each step in a task. This powerful feature lets you:
- Track and review changes made during a task
- Roll back to any previous point if needed
- Experiment confidently with auto-approve mode
- Maintain full control over your workspace
### ⚙️ How Checkpoints Work
Cline creates a checkpoint after each tool use (file edits, commands, etc.). These checkpoints:
- Work alongside your Git workflow without interference
- Maintain context between restores
- Use a shadow Git repository to track changes
For example, if you're working on a feature and Cline makes multiple file changes, each change creates a checkpoint. This means you can review each modification and, if needed, roll back to any point without affecting your main Git repository.
#### Viewing Changes & Restoring to Checkpoint
After each tool use, you can:
1. Click the "Compare" button to see modified files
2. Click the "Restore" button to open restore options
- **Restore Workspace Only**: Reset codebase while preserving task context
Example: If Cline makes changes you don't like while styling a component, you can use "Restore Workspace Only" to revert the code changes while keeping the conversation context, allowing you to try a different approach.
### 💡 Use Cases
Checkpoints let you be more experimental with Cline. While human coding is often methodical and iterative, AI can make substantial changes quickly. Checkpoints help you track these changes and revert if needed.
#### 1. Using Auto-Approve Mode
- Provides safety net for rapid iterations
- Makes it easy to undo unexpected results
#### 2. Testing Different Approaches
- Try multiple solutions confidently
- Compare different implementations
- Quickly revert to working states
- Ideal for exploring different design patterns or architectural approaches
<Frame caption="In this case, I didn't like the changes Cline made to my robot dog-walking website (still working on the robots) and I wanted to revert both the codebase and the task to before any changes were made so I could start fresh.">
1. Use checkpoints as safety nets when experimenting
2. Leverage auto-approve mode more confidently, knowing you can always roll back
3. Restore selectively based on needs:
- Use "Restore Task and Workspace" for a fresh start, reversing changes to files and the task conversation.
- Use "Restore Task Only" to try different prompts, but leave all files as they exist
- Use "Restore Workspace Only" to attempt different implementations, or prune context from the task
🛟 Checkpoints are your safety net when working with Cline, enabling you to experiment freely while maintaining full control over your codebase. Whether you're refactoring a complex component, trying different implementation approaches, or using auto-approve mode for rapid development, checkpoints ensure you can always review changes and roll back if needed.
#### 🗑️ Deleting Checkpoints
You can delete all checkpoints by using the **"Delete All History"** button in the task history menu. Note that this will also delete all tasks. Checkpoints are stored in VS Code's globalStorage.
---
## Editing Messages
Cline allows you to edit chat messages in a task after they've been submitted (with the exception of the message that started the task).
Perhaps you didn't get the results you wanted, thought of a better way to phrase your request, or need to add more information. Editing your message allows you to re-submit a request without starting over or restoring your files or workspace with checkpoints. There are two Restore options:
- **"Restore Chat"** restores just the task state and re-submits an API request to your provider with your edited message.
- **"Restore All"** restores both the task state and workspace state before re-submitting an API request. "Workspace state" refers to the condition of your workspace (files, content, etc.) at different points in the conversation.
**Interactive Editing:**
- Messages can be clicked to enter edit mode
- Cline automatically selects all text when entering edit mode
**Keyboard Shortcuts:**
- Escape: Exit edit mode
- Enter: Restore just the task
- Cmd/Ctrl + Enter: Restore the task and workspace
- Example: "Create a new React component called Header"
2. **Provide Context**
- Use @ mentions to add files, folders, or URLs
- Example: "@file:src/components/App.tsx"
3. **Review Changes**
- Cline will show diffs before making changes
- You can edit or reject changes
## Key Features
1. **File Editing**
- Create new files
- Modify existing code
- Search and replace across files
2. **Terminal Commands**
- Run npm commands
- Start development servers
- Install dependencies
3. **Code Analysis**
- Find and fix errors
- Refactor code
- Add documentation
4. **Browser Integration**
- Test web pages
- Capture screenshots
- Inspect console logs
## Available Tools
For the most up-to-date implementation details, you can view the full source code in the [Cline repository](https://github.com/cline/cline/blob/main/src/core/Cline.ts).
Cline has access to the following tools for various tasks:
1. **File Operations**
- `write_to_file`: Create or overwrite files
- `read_file`: Read file contents
- `replace_in_file`: Make targeted edits to files
- `search_files`: Search files using regex
- `list_files`: List directory contents
2. **Terminal Operations**
- `execute_command`: Run CLI commands
- `list_code_definition_names`: List code definitions
3. **MCP Tools**
- `use_mcp_tool`: Use tools from MCP servers
- `access_mcp_resource`: Access MCP server resources
- Users can create custom MCP tools that Cline can then access
- Example: Create a weather API tool that Cline can use to fetch forecasts
4. **Interaction Tools**
- `ask_followup_question`: Ask user for clarification
- `attempt_completion`: Present final results
Each tool has specific parameters and usage patterns. Here are some examples:
- Create a new file (write_to_file):
```xml
<write_to_file>
<path>src/components/Header.tsx</path>
<content>
// Header component code
</content>
</write_to_file>
```
- Search for a pattern (search_files):
```xml
<search_files>
<path>src</path>
<regex>function\s+\w+\(</regex>
<file_pattern>*.ts</file_pattern>
</search_files>
```
- Run a command (execute_command):
```xml
<execute_command>
<command>npm install axios</command>
<requires_approval>false</requires_approval>
</execute_command>
```
## Common Tasks
1. **Create a New Component**
- "Create a new React component called Footer"
2. **Fix a Bug**
- "Fix the error in src/utils/format.ts"
3. **Refactor Code**
- "Refactor the Button component to use TypeScript"
4. **Run Commands**
- "Run npm install to add axios"
## Getting Help
- [Join the Discord community](https://discord.gg/cline)
### The `new_task` Tool & Context Management Strategies
#### Overview
Cline includes a powerful internal tool, `new_task`, designed to help manage workflow continuity and context preservation, especially during complex or long-running tasks. This tool, combined with Cline's awareness of its own context window usage and the flexibility of `.clinerules`, enables sophisticated strategies for breaking down work and ensuring seamless transitions between task sessions.
Understanding the core capabilities and how they interact with custom rules is key to leveraging this feature effectively.
#### Core Capabilities
Two fundamental capabilities enable advanced context management:
1. **The `new_task` Tool:**
- **Function:** Allows Cline, upon user approval, to end the current task session and immediately start a new one.
- **Context Preloading:** Crucially, Cline can **preload** this new task session with specific context provided within the tool's `<context>` block. This context can be anything Cline or a `.clinerules` file defines – summaries, code snippets, next steps, project state, etc.
2. **Context Window Awareness:**
- **Tracking:** Cline internally tracks the percentage of its available context window currently being used during a task.
- **Visibility:** This information is visible in the `environment_details` provided to Cline in its prompt.
#### Using the `/newtask` Slash Command
As a quick alternative to Cline suggesting the `newtask` tool or defining complex rules, you can directly initiate the process using a Slash Command.
- **How:** Simply type `/newtask` in the chat input field.
- **Action:** Cline will propose creating a new task, typically suggesting context based on the current session (similar to its default behavior when using the tool). You will still get the `ask_followup_question` prompt to confirm and potentially modify the context before the new task is created.
- **Benefit:** Provides a fast, user-initiated way to leverage the `new_task` functionality for branching explorations or managing long sessions without waiting for Cline to suggest it.
#### Default Behavior (Without `.clinerules`)
By default, without specific `.clinerules` dictating its behavior:
- **Tool Availability:** The `new_task` tool exists, and Cline _can_ choose to use it.
- **Context Awareness:** Cline _is_ aware of its context usage percentage.
- **No Automatic Trigger:** Cline **will not** automatically initiate a task handoff _solely_ based on context usage reaching a specific percentage (like 50%). The decision to suggest using `new_task` comes from the AI model's reasoning based on the overall task progress and prompt instructions.
- **Basic Context Preloading:** If `new_task` is used without specific rules defining the `<context>` block structure, Cline will attempt to preload relevant information based on its current understanding (e.g., a basic summary of progress and next steps), but this may be less comprehensive than a rule-driven approach.
#### The Power of `.clinerules`: Enabling Custom Workflows
While the core capabilities exist by default, the true power, automation, and customization emerge when you combine `new_task` and context awareness with custom workflows defined in `.clinerules`. This allows you to precisely control _when_ and _how_ Cline manages context and task continuity.
Key benefits of using `.clinerules` with `new_task`:
- **Automated Context Management:** Define rules to automatically trigger handoffs at specific context percentages (e.g., >50%, >70%) or token counts, ensuring optimal performance and preventing context loss.
- **Model-Specific Optimization:** Tailor handoff triggers based on known thresholds for different LLMs (e.g., trigger earlier for models known to degrade past a certain token count).
- **Intelligent Breakpoints:** Instruct Cline via rules to find logical stopping points (e.g., after completing a function or test) _after_ a context threshold is passed, ensuring cleaner handoffs.
- **Structured Task Decomposition:** Use Plan Mode to define subtasks, then use `.clinerules` to have Cline automatically create a new task via `new_task` upon completing each subtask, preloading the context for the _next_ subtask.
- **Custom Context Packaging:** Mandate the exact structure and content of the `<context>` block in `.clinerules` for highly detailed and consistent handoffs (see example below).
- **Improved Memory Persistence:** Use `new_task` context blocks as a primary, integrated way to persist information across sessions, potentially replacing or supplementing file-based memory systems.
- **Workflow Automation:** Define rules for specific scenarios, like always preloading certain setup instructions or project boilerplate when starting tasks of a particular type.
#### Example Rule-Driven Workflow: Task Handoff Process
A common workflow, **driven by specific `.clinerules` like the example below**, involves these steps:
1. **Trigger Identification (Rule-Based):** Cline monitors for handoff points defined in the rules (e.g., context usage > 50%, task completion).
2. **User Confirmation:** Cline uses `ask_followup_question` to propose creating a new task, often showing the intended context defined by the rules.
```xml
<ask_followup_question>
<question>I've completed [specific accomplishment] and context usage is high (XX%). Would you like me to create a new task to continue with [remaining work], preloading the following context?</question>
<options>["Yes, create new task", "Modify context first", "No, continue this session"]</options>
</ask_followup_question>
```
3. **User Control:** You can approve, deny, or ask Cline to modify the context before the new task is created.
4. **Context Packaging (`new_task` Tool):** If approved, Cline uses `new_task`, packaging the context according to the structure mandated by the `.clinerules`.
5. **New Task Creation:** The current task ends, and a new session begins immediately, preloaded with the specified context.
#### The Handoff Context Block (Rule-Defined Structure)
The effectiveness of rule-driven handoffs depends heavily on how `.clinerules` define the `<context>` block. A comprehensive structure often includes:
- **`## Completed Work`**: Detailed list of accomplishments, files modified/created, key decisions.
- **`## Current State`**: Project status, running processes, key file states.
- **`## Next Steps`**: Clear, prioritized list of remaining tasks, implementation details, known challenges.
- **`## Reference Information`**: Links, code snippets, patterns, user preferences.
- **Actionable Start:** A clear instruction for the immediate next action.
#### Potential Use Cases & Workflows
The flexibility of `new_task` combined with `.clinerules` opens up many possibilities:
- **Proactive Context Window Management:** Automatically trigger handoffs at specific percentages (e.g., 50%, 70%) or token counts to maintain optimal performance.
- **Intelligent Breakpoints:** Instruct Cline to find logical stopping points (e.g., after completing a function or test) _after_ a context threshold is passed, ensuring cleaner handoffs.
- **Structured Task Decomposition:** Use Plan Mode to define subtasks, then use `.clinerules` to have Cline automatically create a new task via `new_task` upon completing each subtask.
- **Automated Session Summaries:** Configure the `<context>` block to always include a summary of the previous session's key discussion points.
- **Preloading Boilerplate/Setup:** Start new tasks related to specific projects preloaded with standard setup instructions or file templates.
- **"Memory Bank" Alternative:** Use `new_task` context blocks as the primary way to persist information across sessions, potentially replacing file-based memory systems.
Experimenting with `.clinerules` is encouraged to discover workflows that best suit your needs!
#### Example `.clinerules`: Task Handoff Strategy Guide
Below is an example `.clinerules` file focused specifically on using `new_task` for context window management. **Remember, this is just one specific strategy; the core `new_task` tool can be used differently with other custom rules.**
````markdown
# You MUST use the `new_task` tool: Task Handoff Strategy Guide
**⚠️ CRITICAL INSTRUCTIONS - YOU MUST FOLLOW THESE GUIDELINES ⚠️**
This guide provides **MANDATORY** instructions for effectively breaking down complex tasks and implementing a smooth handoff process between tasks. You **MUST** follow these guidelines to ensure continuity, context preservation, and efficient task completion.
You **MUST** monitor the context window usage displayed in the environment details. When usage exceeds 50% of the available context window, you **MUST** initiate a task handoff using the `new_task` tool.
Example of context window usage over 50% with a 200K context window:
**IMPORTANT**: When you see context window usage at or above 50%, you MUST:
1. Complete your current logical step
2. Use the `ask_followup_question` tool to offer creating a new task
3. If approved, use the `new_task` tool with comprehensive handoff instructions
## Task Breakdown in Plan Mode - REQUIRED PROCESS
Plan Mode is specifically designed for analyzing complex tasks and breaking them into manageable subtasks. When in Plan Mode, you **MUST**:
### 1. Initial Task Analysis - REQUIRED
- **MUST** begin by thoroughly understanding the full scope of the user's request
- **MUST** identify all major components and dependencies of the task
- **MUST** consider potential challenges, edge cases, and prerequisites
### 2. Strategic Task Decomposition - REQUIRED
- **MUST** break the overall task into logical, discrete subtasks
- **MUST** prioritize subtasks based on dependencies (what must be completed first)
- **MUST** aim for subtasks that can be completed within a single session (15-30 minutes of work)
- **MUST** consider natural breaking points where context switching makes sense
### 3. Creating a Task Roadmap - REQUIRED
- **MUST** present a clear, numbered list of subtasks to the user
- **MUST** explain dependencies between subtasks
- **MUST** provide time estimates for each subtask when possible
- **MUST** use Mermaid diagrams to visualize task flow and dependencies when helpful
\`\`\`mermaid
graph TD
A[Main Task] --> B[Subtask 1: Setup]
A --> C[Subtask 2: Core Implementation]
A --> D[Subtask 3: Testing]
A --> E[Subtask 4: Documentation]
B --> C
C --> D
\`\`\`
### 4. Getting User Approval - REQUIRED
- **MUST** ask for user feedback on the proposed task breakdown
- **MUST** adjust the plan based on user priorities or additional requirements
- **MUST** confirm which subtask to begin with
- **MUST** request the user to toggle to Act Mode when ready to implement
## Task Implementation and Handoff Process - MANDATORY PROCEDURES
When implementing tasks in Act Mode, you **MUST** follow these guidelines for effective task handoff:
### 1. Focused Implementation - REQUIRED
- **MUST** focus on completing the current subtask fully
- **MUST** document progress clearly through comments and commit messages
- **MUST** create checkpoints at logical completion points
### 2. Recognizing Completion Points - CRITICAL
You **MUST** identify natural handoff points when:
- The current subtask is fully completed
- You've reached a logical stopping point in a larger subtask
- The implementation is taking longer than expected and can be continued later
- The task scope has expanded beyond the original plan
- **CRITICAL**: The context window usage exceeds 50% (e.g., 100,000+ tokens for a 200K context window)
### 3. Initiating the Handoff Process - MANDATORY ACTION
When you've reached a completion point, you **MUST**:
1. Summarize what has been accomplished so far
2. Clearly state what remains to be done
3. **MANDATORY**: Use the `ask_followup_question` tool to offer creating a new task:
\`\`\`xml
<ask_followup_question>
<question>I've completed [specific accomplishment]. Would you like me to create a new task to continue with [remaining work]?</question>
<options>["Yes, create a new task", "No, continue in this session", "Let me think about it"]</options>
</ask_followup_question>
\`\`\`
### 4. Creating a New Task with Context - REQUIRED ACTION
If the user agrees to create a new task, you **MUST** use the `new_task` tool with comprehensive handoff instructions:
\`\`\`xml
<new_task>
<context>
# Task Continuation: [Brief Task Title]
## Completed Work
- [Detailed list of completed items]
- [Include specific files modified/created]
- [Note any important decisions made]
## Current State
- [Description of the current state of the project]
- [Any running processes or environment setup]
- [Key files and their current state]
## Next Steps
- [Detailed list of remaining tasks]
- [Specific implementation details to address]
- [Any known challenges to be aware of]
## Reference Information
- [Links to relevant documentation]
- [Important code snippets or patterns to follow]
- [Any user preferences noted during the current session]
Please continue the implementation by [specific next action].
</context>
</new_task>
\`\`\`
### 5. Detailed Context Transfer - MANDATORY COMPONENTS
When creating a new task, you **MUST** always include:
#### Project Context - REQUIRED
- **MUST** include the overall goal and purpose of the project
- **MUST** include key architectural decisions and patterns
- **MUST** include technology stack and dependencies
#### Implementation Details - REQUIRED
- **MUST** list files created or modified in the current session
- **MUST** describe specific functions, classes, or components implemented
- **MUST** explain design patterns being followed
- **MUST** outline testing approach
#### Progress Tracking - REQUIRED
- **MUST** provide checklist of completed items
- **MUST** provide checklist of remaining items
- **MUST** note any blockers or challenges encountered
#### User Preferences - REQUIRED
- **MUST** note coding style preferences mentioned by the user
- **MUST** document specific approaches requested by the user
- **MUST** highlight priority areas identified by the user
## Best Practices for Effective Handoffs - MANDATORY GUIDELINES
### 1. Maintain Continuity - REQUIRED
- **MUST** use consistent terminology between tasks
- **MUST** reference previous decisions and their rationale
- **MUST** maintain the same architectural approach unless explicitly changing direction
### 2. Preserve Context - REQUIRED
- **MUST** include relevant code snippets in the handoff
- **MUST** summarize key discussions from the previous session
- **MUST** reference specific files and line numbers when applicable
### 3. Set Clear Next Actions - REQUIRED
- **MUST** begin the handoff with a clear, actionable next step
- **MUST** prioritize remaining tasks
- **MUST** highlight any decisions that need to be made
### 4. Document Assumptions - REQUIRED
- **MUST** clearly state any assumptions made during implementation
- **MUST** note areas where user input might be needed
- **MUST** identify potential alternative approaches
### 5. Optimize for Resumability - REQUIRED
- **MUST** structure the handoff so the next session can begin working immediately
- **MUST** include setup instructions if environment configuration is needed
- **MUST** provide a quick summary at the top for rapid context restoration
## Example Task Handoff
### Example #1 of an effective task handoff:
\`\`\`xml
<new_task>
<context>
# Task Continuation: Implement User Authentication System
## Completed Work
- Created basic Express.js server structure
- Implemented MongoDB connection and user schema
- Completed user registration endpoint with password hashing
- Added input validation using Joi
- Created initial test suite for registration endpoint
## Current State
- Server runs successfully on port 3000
- MongoDB connection is established
- Registration endpoint (/api/users/register) is fully functional
- Test suite passes for all registration scenarios
## Next Steps
1. Implement login endpoint (/api/users/login)
- Use bcrypt to compare passwords
- Generate JWT token upon successful login
- Add proper error handling for invalid credentials
2. Create authentication middleware
- Verify JWT tokens
- Extract user information
- Handle expired tokens
3. Add protected routes that require authentication
4. Implement password reset functionality
## Reference Information
- JWT secret should be stored in .env file
- Follow the existing error handling pattern in routes/users.js
- User schema is defined in models/User.js
- Test patterns are established in tests/auth.test.js
Please continue by implementing the login endpoint following the same patterns established in the registration endpoint.
</context>
</new_task>
\`\`\`
### Example #2 of an ineffective task handoff:
_(Note: The example provided in the original rules showing "YOLO MODE Implementation" seems less like a direct handoff context block and more like a general status update with future considerations. A true ineffective handoff might lack detail in 'Current State' or 'Next Steps')._
## When to Use Task Handoffs - MANDATORY TRIGGERS
You **MUST** initiate task handoffs in these scenarios:
1. **CRITICAL**: When context window usage exceeds 50% (e.g., 100,000+ tokens for a 200K context window)
2. **Long-running projects** that exceed a single session
3. **Complex implementations** with multiple distinct phases
4. **When context window limitations** are approaching
5. **When switching focus areas** within a larger project
6. **When different expertise** might be beneficial for different parts of the task
**⚠️ FINAL REMINDER - CRITICAL INSTRUCTION ⚠️**
You **MUST** monitor the context window usage in the environment details section. When it exceeds 50% (e.g., "105,000 / 200,000 tokens (53%)"), you **MUST** proactively initiate the task handoff process using the `ask_followup_question` tool followed by the `new_task` tool. You MUST use the `new_task` tool.
By strictly following these guidelines, you'll ensure smooth transitions between tasks, maintain project momentum, and provide the best possible experience for users working on complex, multi-session projects.
```markdown
## User Interaction & Workflow Considerations
- **Linear Flow:** Currently, using `new_task` creates a linear sequence. The old task ends, and the new one begins. The old task history remains accessible for backtracking.
- **User Approval:** You always have control, approving the handoff and having the chance to modify the context Cline proposes to carry forward.
- **Flexibility:** The core `new_task` tool is a flexible building block. Experiment with `.clinerules` to create workflows that best suit your needs, whether for strict context management, task decomposition, or other creative uses.
title: "Plan & Act Modes: A Guide to Effective AI Development"
---
## Overview
Plan & Act modes represent Cline's approach to structured AI development, emphasizing thoughtful planning before implementation. This dual-mode system helps developers create more maintainable, accurate code while reducing iteration time.
description: "Remote browser support allows Cline to utilize a remote Chrome instance, leveraging authentication tokens and session cookies relevant to certain web development test cases."
icon: globe-pointer
---
The Remote Browser feature in Cline allows the AI assistant to interact with web content directly through a controlled browser instance. This enables several powerful capabilities:
- Viewing and interacting with websites
- Testing locally running web applications
- Monitoring console logs and errors
- Performing browser actions like clicking, typing, and scrolling
## Remote Browser in Cline
### What is Remote Browser?
Remote Browser allows Cline to view and interact with websites directly. This feature enables Cline to:
- Visit websites and view their content
- Test your locally running web applications
- Fill out forms and click on elements
- Capture screenshots of what it sees
- Scroll through pages to see more content
### How to Use Remote Browser
#### Basic Commands
You can ask Cline to use the browser with simple instructions:
- **Open a website**: "Use the browser to check the website at [https://example.com](https://example.com/)"
- **Click on elements**: "Click the login button"
- **Type text**: "Type 'Hello world' in the search box"
- **Scroll the page**: "Scroll down to see more content"
- **Close the browser**: "Close the browser now"
#### Example Workflows
**Testing a Web Application:**
```javascript
Can you start my React app with "npm start" and then check if it's working properly at http://localhost:3000?
```
**Analyzing a Website:**
```javascript
Can you visit https://example.com and tell me what you think about its design and layout?
```
**Filling Out a Form:**
```javascript
Please go to https://example.com/contact, fill out the contact form with some test data, and submit it.
```
### Important Things to Know
#### One Browser at a Time
Cline can only use one browser at a time. If you want to visit a different website, you can either:
- Ask Cline to navigate to a new URL within the same browser session
- Ask Cline to close the current browser and open a new one
#### Browser Must Be Closed Before Using Other Tools
If you want Cline to edit files or run commands after using the browser, you must first ask it to close the browser:
```javascript
Close the browser and then update the CSS file to fix the alignment issue we saw.
```
#### What Cline Sees
The browser has a fixed viewport size (900x600 pixels by default), similar to a small laptop screen. Cline will share screenshots after each action so you can see exactly what it sees.
#### Console Logs
Cline captures browser console logs, which can be helpful for debugging web applications. These logs are included with each screenshot.
### Common Use Cases
- **Web Development**: Test your websites and web applications
- **UI/UX Review**: Get feedback on website design and usability
- **Content Research**: Have Cline browse websites to gather information
- **Form Testing**: Verify that forms work correctly
- **Responsive Design Testing**: Check how websites look at different screen sizes
### Troubleshooting
- **If a website doesn't load**: Try providing a direct URL with the http:// or https:// prefix
- **If clicking doesn't work**: Try describing the location of the element more precisely
- **If the browser seems stuck**: Ask Cline to close the browser and try again
### Using Remote Browser with VS Code in WSL
When running VS Code in WSL, you'll need to configure Windows to allow WSL to connect to Chrome. Follow these steps:
Cline provides slash commands as a quick way to invoke specific tools or actions directly from the chat input, offering shortcuts for common operations. This page details the available slash commands and their usage.
#### /newtask
The `/newtask` slash command provides a fast, user-initiated way to leverage the `new_task` tool's functionality for branching explorations or managing long sessions without waiting for Cline to suggest it.
**Functionality:**
1. **Initiation:** Typing `/newtask` in the chat input signals Cline to prepare for starting a new task session.
2. **Context Proposal:** Cline proposes creating a new task and typically suggests context to preload based on the current session (summarizing key aspects like current work, technical concepts, relevant files, problems solved, and next steps).
3. **User Confirmation:** You will receive a confirmation prompt (via the `ask_followup_question` tool) displaying the proposed context. You can approve it directly or modify the context before the new task begins.
4. **New Session:** Upon confirmation, Cline ends the current task session and immediately starts a new one, preloaded with the approved context.
**Benefit:** Allows you to cleanly branch your work or start a new phase while carrying over essential background information ("knowledge transfer") without manual copying or losing the thread of the previous session.
#### /smol (alias /compact)
The `/smol` slash command (with `/compact` as an alias) allows you to condense the chat history **within your current task**. This is useful when a conversation becomes very long, potentially impacting performance or making it harder for the model to maintain focus.
**Functionality:**
1. **Initiation:** Typing `/smol` or `/compact` tells Cline you want to condense the current chat history. You can optionally add instructions after the command to guide the summarization process (e.g., `/smol focus only on the database changes` or `/smol be concise, use bullet points`).
2. **Summarization:** Cline analyzes the conversation history, considering any additional instructions provided, and generates a summary focusing on key elements: recent discussion points, important decisions, technical concepts, relevant files, problems solved, and planned next steps. Cline determines the appropriate length and detail for the summary. It retains the beginning and very recent parts of the chat while summarizing the middle sections.
3. **User Confirmation:** Cline presents this generated summary to you via a confirmation prompt and asks if it accurately reflects the essential context.
4. **Condensing:** If you approve the summary, Cline replaces the summarized middle portion of the chat history in its active context with the generated summary. This reduces the overall token count for subsequent interactions within the _same task_.
5. **Feedback:** If you reject the summary or provide feedback, Cline will retain the original history and incorporate your feedback for future actions.
**Benefit:** Helps maintain focus and manage token usage during very long, continuous tasks (like deep debugging or extended feature development) without needing to start an entirely new task session. Allows user guidance on the summarization focus.
#### When to Use Which?
Choosing between `/newtask` and `/smol` depends on your goal:
- Use `/smol` (or `/compact`) when:
- You want to continue the **same task**, but the chat history has become very long or costly.
- You need to reduce token usage for upcoming interactions within the current workflow.
- Example: Deep debugging session where you want to summarize previous steps before continuing.
- Use `/newtask` when:
- You have finished one phase of work and want to start a **fresh, related task**.
- You want to branch your exploration while preserving key context from the previous session.
- Example: Moving from developing Feature A to starting work on Feature B, carrying over relevant architectural decisions.
#### Why Manage Context?
While Cline supports large context windows, actively managing context using tools and commands like `/newtask` and `/smol` is often beneficial:
- **Performance:** Large language models can sometimes experience performance degradation or lose focus when context windows become extremely full (e.g., over 50-75% capacity, depending on the model). Condensing or resetting context can help maintain optimal performance.
- **Relevance:** Summarizing or starting fresh ensures the most relevant information is prioritized in the context window.
- **Cost:** Reducing the number of tokens sent to the model in each turn can help manage costs, especially with more expensive models.
Using `/newtask` and `/smol` provides you with direct control over the conversation context, allowing for more efficient and effective interaction with Cline.
description: "Welcome to Cline, your AI-powered coding companion! This guide will help you quickly set up your development environment and begin your coding journey with ease."
---
> 💡 **Tip:** If you're completely new to coding, take your time with each step. There's no rush — Cline is here to guide you!
### 🚀 Getting Started
Before you jump into coding, make sure you have these essentials ready:
#### 1. **VS Code**
A popular, free, and powerful code editor.
- [Download VS Code](https://code.visualstudio.com/)
📺 **Recommended YouTube Tutorial:** [How to Install VS Code](https://www.youtube.com/watch?v=MlIzFUI1QGA)
> ✅ **Pro Tip:** Install VS Code in your Applications folder (macOS) or Program Files (Windows) for easy access from your dock or start menu.
#### 2. **Essential Development Tools**
Basic software required for coding efficiently:
- Homebrew (macOS)
- Node.js
- Git
👉 Follow our detailed guide on Installing Essential Development Tools with step-by-step help from Cline.
📺 **Recommended YouTube Tutorials:**
- **For macOS:**
- [Install Homebrew on Mac](https://www.youtube.com/watch?v=hwGNgVbqasc)
- [Install Git on MacOS 2024](https://www.youtube.com/watch?v=B4qsvQ5IqWk)
- [Install Node.js on Mac (M1 | M2 | M3)](https://www.youtube.com/watch?v=I8H4wolRFBk)
- **For Windows:**
- [Install Git on Windows 10/11 (2024)](https://www.youtube.com/watch?v=yjxv1HuRQy0)
- [Install Node.js in Windows 10/11](https://www.youtube.com/watch?v=uCgAuOYpJd0)
> ⚠️ **Note:** If you run into permission issues during installation, try running your terminal or command prompt as an administrator.
#### 3. **Organize Your Projects**
Create a dedicated folder named `Cline` in your Documents folder for all your coding projects:
1. **Install the Extension:** Click the "Install" button next to the Cline extension.
2. **Open Cline:**
- Click the Cline icon in the Activity Bar.
- Or, use the command palette (`Ctrl/Cmd + Shift + P`) and type "Cline: Open In New Tab" for a better view.
3. **Troubleshooting:** If you don't see the Cline icon, try restarting VS Code.
> ✅ **Pro Tip:** You should see the Cline chat window appear in your VS Code editor!
### 🌐 Open VSX Registry
For VS Code-compatible editors without Marketplace access (like VSCodium and Windsurf):
1. Open your editor.
2. Access the Extensions view.
3. Search for "Cline".
4. Select "Cline" by saoudrizwan and click **Install**.
5. Reload if prompted.
### 👤 Creating Your Cline Account
Now that you have Cline installed, let's get you set up with your account:
1. **Sign In to Cline:**
- Click the **Sign In** button in the Cline extension.
- You'll be taken to [app.cline.bot](https://app.cline.bot) to create your account.
2. **Start with Free Credits:**
- No credit card needed!
3. **Available AI Models:**
- Anthropic Claude 3.5-Sonnet (recommended for coding)
- DeepSeek Chat (cost-effective alternative)
- Google Gemini 2.0 Flash
- And more — all through your Cline account.
4. -
### 💻 Your First Interaction with Cline
You're ready to start building! Copy and paste this prompt into the Cline chat window:
```
Hey Cline! Could you help me create a new project folder called "hello-world" in my Cline directory and make a simple webpage that says "Hello World" in big blue text?
```
> ✅ **Pro Tip:** Cline will help you create the project folder and set up your first webpage!
### 🧩 Tips for Working with Cline
- **Ask Questions:** If you're unsure about something, ask Cline!
- **Use Screenshots:** Cline can understand images — show him what you're working on.
- **Copy and Paste Errors:** Share error messages in the chat for solutions.
- **Speak Plainly:** Use your own words — Cline will translate them into code.
### 🫂 Still Struggling?
Join our Discord community and engage with our team and other Cline users directly.
When you start coding, you'll need some essential development tools installed
on your computer. Cline can help you install everything you need in a safe,
guided way.
---
### 🧰 The Essential Tools
Here are the core tools you'll need for development:
- **Node.js & npm:** Required for JavaScript and web development
- **Git:** For tracking changes in your code and collaborating with others
- **Package Managers:** Tools that make it easy to install other development tools
- Homebrew for macOS
- Chocolatey for Windows
- apt/yum for Linux
> 💡 **Tip:** These tools are the foundation of your developer toolkit. Installing them properly will set you up for success!
### 🚀 Let Cline Install Everything
Copy one of these prompts based on your operating system and paste it into **Cline**:
#### For macOS
```
Hello Cline! I need help setting up my Mac for software development. Could you please help me install the essential development tools like Homebrew, Node.js, Git, and any other core utilities that are commonly needed for coding? I'd like you to guide me through the process step-by-step.
```
#### For Windows
```
Hello Cline! I need help setting up my Windows PC for software development. Could you please help me install the essential development tools like Node.js, Git, and any other core utilities that are commonly needed for coding? I'd like you to guide me through the process step-by-step.
```
#### For Linux
```
Hello Cline! I need help setting up my Linux system for software development. Could you please help me install the essential development tools like Node.js, Git, and any other core utilities that are commonly needed for coding? I'd like you to guide me through the process step-by-step.
```
> ✅ **Pro Tip:** Cline will show you each command before running it. You stay in control the entire time!
### 🔍 What Will Happen
Cline will guide you through the following steps:
1. Installing the appropriate package manager for your system
2. Using the package manager to install Node.js and Git
3. Showing you the exact command before it runs (you approve each step!)
4. Verifying each installation is successful
> ⚠️ **Note:** You might need to enter your computer's password for some installations. This is normal!
### 💡 Why These Tools Are Important
- **Node.js & npm:**
- Build websites with frameworks like React or Next.js
- Run JavaScript code
- Install JavaScript packages
- **Git:**
- Save different versions of your code
- Collaborate with other developers
- Back up your work
- **Package Managers:**
- Quickly install and update development tools
- Keep your environment organized and up to date
### 🧩 Notes
> 💡 **Tip:** The installation process is interactive — Cline will guide you step by step!
- All commands are shown to you for approval before they run.
- If you run into any issues, Cline will help troubleshoot them.
- You may need to enter your computer's password for certain steps.
### 🧑💻 Additional Tips for New Coders
#### Understanding the Terminal
The Terminal is an application where you can type commands to interact with your computer.
- **macOS:** Open it by searching for "Terminal" in Spotlight.
- **Example:**
```
$ open -a Terminal
```
#### Understanding VS Code Features
- **Terminal in VS Code:** Run commands directly from within VS Code!
- Go to **View > Terminal** or press \`Ctrl + \`\`.
- Example:
```
$ node -v
v16.14.0
```
- **Document View:** Where you edit your code files.
- Open files from the Explorer panel on the left.
- **Problems Section:** View errors or warnings in your code.
- Access it by clicking the lightbulb icon or **View > Problems**.
#### Common Features
- **Command Line Interface (CLI):** A powerful tool for running commands.
- **Permissions:** You might need to grant permissions to certain commands — this keeps your system secure.
Think of a context window as your AI assistant's working memory - similar to RAM in a computer. It determines how much information the model can "remember" and process at once during your conversation. This includes:
- Your code files and conversations
- The assistant's responses
- Any documentation or additional context provided
Context windows are measured in tokens (roughly 3/4 of a word in English). Different models have different context window sizes:
- Claude 3.5 Sonnet: 200K tokens
- DeepSeek Models: 128K tokens
- Gemini Flash 2.0: 1M tokens
- Gemini 1.5 Pro: 2M tokens
When you reach the limit of your context window, older information needs to be removed to make room for new information - just like clearing RAM to run new programs. This is why sometimes AI assistants might seem to "forget" earlier parts of your conversation.
Cline helps you manage this limitation with its Context Window Progress Bar, which shows:
- Input tokens (what you've sent to the model)
- Output tokens (what the model has generated)
- A visual representation of how much of your context window you've used
- The total capacity for your chosen model
<Frame caption="Visual representation of the context window usage in Cline">
| Gemini 1.5 Pro | $0.00 | $0.00 | 2M | Large context processing |
\*Costs per million tokens
### Top Picks for 2025
1. **Claude 3.5 Sonnet**
- Best overall code implementation
- Most reliable tool usage
- Expensive but worth it for critical code
2. **DeepSeek R1**
- Exceptional planning & reasoning
- Great value pricing
3. **o3-mini**
- Strong for planning with adjustable reasoning
- Three reasoning modes for different needs
- Requires OpenAI Tier 3 API access
- 200K context window
4. **DeepSeek V3**
- Reliable code implementation
- Great for daily coding
- Cost-effective for implementation
5. **Gemini Flash 2.0**
- Massive 1M context window
- Improved speed and performance
- Good all-around capabilities
### Best Models by Mode (Plan or Act)
#### Planning
1. **DeepSeek R1**
- Best reasoning capabilities in class
- Excellent at breaking down complex tasks
- Strong math/algorithm planning
- MoE architecture helps with reasoning
2. **o3-mini (high reasoning)**
- Three reasoning levels:
- High: Complex planning
- Medium: Daily tasks
- Low: Quick ideas
- 200K context helps with large projects
3. **Gemini Flash 2.0**
- Massive context window for complex planning
- Strong reasoning capabilities
- Good with multi-step tasks
#### Acting (coding)
1. **Claude 3.5 Sonnet**
- Best code quality
- Most reliable with Cline tools
- Worth the premium for critical code
2. **DeepSeek V3**
- Nearly Sonnet-level code quality
- Better API stability than R1
- Great for daily coding
- Strong tool usage
3. **Gemini 1.5 Pro**
- 2M context window
- Good with complex codebases
- Reliable API
- Strong multi-file understanding
### A Note on Local Models
While running models locally might seem appealing for cost savings, we currently don't recommend any local models for use with Cline. [Local models are significantly less reliable](https://docs.cline.bot/running-models-locally/read-me-first) at using Cline's essential tools and typically retain only 1-26% of the original model's capabilities. The full cloud version of DeepSeek-R1, for example, is 671B parameters - local versions are drastically simplified copies that struggle with complex tasks and tool usage. Even with high-end hardware (RTX 3070+, 32GB+ RAM), you'll experience slower responses, less reliable tool execution, and reduced capabilities. For the best development experience, we recommend sticking with the cloud models listed above.
### Key Takeaways
1. **Plan vs Act Matters**: Choose models based on task type
2. **Real Performance > Benchmarks**: Focus on actual Cline performance
3. **Mix & Match**: Use different models for planning and implementation
4. **Cost vs Quality**: Premium models worth it for critical code
5. **Keep Backups**: Have alternatives ready for API issues
_\*Note: Based on real usage patterns and community feedback rather than just benchmarks. Your experience may vary. This is not an exhaustive list of all the models available for use within Cline._
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