changeset

.changeset/blue-cobras-allow.md

@@ -1,5 +0,0 @@
----
-"claude-dev": patch
----
-
-Migrated updateSettings to protos, removed didUpdateSettings, altered Plan/Act toggling in settings menu

.changeset/cold-rings-share.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": minor
+---
+
+Migrate openExtensionSettings to protobus

.changeset/dull-chefs-yawn.md

@@ -2,4 +2,4 @@
 "claude-dev": patch
 ---
 
-Spring cleaning
+add back missing function

.changeset/eight-feet-sip.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": minor
+---
+
+Migrate showAccountViewClicked to protobus

.changeset/eight-otters-grow.md

@@ -1,5 +0,0 @@
----
-"claude-dev": patch
----
-
-Fixed issue where telemetry warning popup was created for every new Cline window

.changeset/eleven-monkeys-watch.md

@@ -1,5 +0,0 @@
----
-"claude-dev": minor
----
-
-Prioritize active files in file context menu

.changeset/five-bikes-impress.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+Adding Telemetry for button clicks

.changeset/five-sheep-count.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+openInBrowser protobus migration

.changeset/giant-cycles-divide.md

@@ -1,5 +0,0 @@
----
-"claude-dev": patch
----
-
-toggleWorkflow protobus migration

.changeset/good-hounds-mate.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+Use identify to enhance distinct user segmentation

.changeset/heavy-bananas-shave.md

@@ -1,5 +0,0 @@
----
-"claude-dev": patch
----
-
-Added promise to task init to prevent race condition with checkpoints

.changeset/little-toys-protect.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": minor
+---
+
+Migrate authCallback to protobus

.changeset/popular-wombats-tap.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": minor
+---
+
+Migrate openMcpSettings to protobus

.changeset/quick-rocks-guess.md

@@ -1,5 +0,0 @@
----
-"claude-dev": patch
----
-
-Fix bug where replace_in_file would not be able to handle for out-of-order SEARCH/REPLACE blocks

.changeset/rare-ducks-give.md

@@ -1,5 +0,0 @@
----
-"claude-dev": minor
----
-
-Context menu is default to File option on start up

.changeset/seven-toys-impress.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+requestTotalTasksSize protobus migration

.changeset/six-rice-end.md

@@ -1,5 +0,0 @@
----
-"claude-dev": minor
----
-
-Migrate fetchLatestServersFromHub to protobus

.changeset/smart-ladybugs-give.md

@@ -1,5 +0,0 @@
----
-"claude-dev": minor
----
-
-the response of the mcps is displayed with a collapsible which allows to focus on the model responses.

.clinerules/cline-overview.md

@@ -164,7 +164,6 @@ Key providers include:
 - **OpenRouter**: Meta-provider supporting multiple model providers
 - **AWS Bedrock**: Integration with Amazon's AI services
 - **Gemini**: Google's AI models
-- **Cerebras**: High-performance inference with Llama, Qwen, and DeepSeek models
 - **Ollama**: Local model hosting
 - **LM Studio**: Local model hosting
 - **VSCode LM**: VSCode's built-in language models

.eslintrc.json

@@ -5,7 +5,7 @@
 		"ecmaVersion": 6,
 		"sourceType": "module"
 	},
-	"plugins": ["@typescript-eslint", "eslint-rules"],
+	"plugins": ["@typescript-eslint"],
 	"rules": {
 		"@typescript-eslint/naming-convention": [
 			"warn",
@@ -19,9 +19,7 @@
 		"eqeqeq": "warn",
 		"no-throw-literal": "warn",
 		"semi": "off",
-		"react-hooks/exhaustive-deps": "off",
-		"eslint-rules/no-protobuf-object-literals": "error",
-		"eslint-rules/no-grpc-client-object-literals": "error"
+		"react-hooks/exhaustive-deps": "off"
 	},
 	"ignorePatterns": ["out", "dist", "**/*.d.ts"]
 }

.github/workflows/stale.yml

@@ -1,25 +0,0 @@
-# This workflow will only label and/or close 30 issues at a time in order to avoid exceeding a rate limit.
-# More info: https://docs.github.com/en/actions/use-cases-and-examples/project-management/closing-inactive-issues
-name: Close inactive issues
-on:
-    schedule:
-        - cron: "30 1 * * *"
-
-jobs:
-    close-issues:
-        runs-on: ubuntu-latest
-        permissions:
-            issues: write
-            pull-requests: write
-        steps:
-            - uses: actions/stale@28ca103
-              with:
-                  days-before-issue-stale: 60
-                  days-before-issue-close: 14
-                  stale-issue-label: "stale"
-                  stale-issue-message: "This issue is stale because it has been open for 60 days with no activity."
-                  close-issue-message: "This issue was closed because it has been inactive for 14 days since being marked as stale."
-                  days-before-pr-stale: -1
-                  days-before-pr-close: -1
-                  exempt-issue-labels: "pinned,security"
-                  repo-token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/test-stale.yml

@@ -1,32 +0,0 @@
-name: Test Stale Issues Workflow
-on:
-    workflow_dispatch:
-        inputs:
-            days-before-stale:
-                description: "Days before an issue becomes stale"
-                required: true
-                default: "1"
-            days-before-close:
-                description: "Days before a stale issue is closed"
-                required: true
-                default: "1"
-
-jobs:
-    test-stale:
-        runs-on: ubuntu-latest
-        permissions:
-            issues: write
-            pull-requests: write
-        steps:
-            - uses: actions/stale@28ca103
-              with:
-                  days-before-issue-stale: ${{ github.event.inputs.days-before-stale }}
-                  days-before-issue-close: ${{ github.event.inputs.days-before-close }}
-                  stale-issue-label: "stale"
-                  stale-issue-message: "This issue is stale because it has been open for ${{ github.event.inputs.days-before-stale }} days with no activity."
-                  close-issue-message: "This issue was closed because it has been inactive for ${{ github.event.inputs.days-before-close }} days since being marked as stale."
-                  days-before-pr-stale: -1
-                  days-before-pr-close: -1
-                  exempt-issue-labels: "pinned,security"
-                  repo-token: ${{ secrets.GITHUB_TOKEN }}
-                  debug-only: true

.github/workflows/test.yml

@@ -86,9 +86,8 @@ jobs:
             - name: Build Tests and Extension
               run: npm run pretest
 
-            # Unit Tests disabled due to module system conflicts between backend and webview-ui
-            # - name: Unit Tests
-            #   run: npm run test:unit
+            - name: Unit Tests
+              run: npm run test:unit
 
             # Run extension tests with coverage
             - name: Extension Tests with Coverage

.gitignore

@@ -22,18 +22,9 @@ coverage
 *evals.env
 
 # Generated proto files
+src/shared/proto/*.ts
 src/core/controller/*/methods.ts
 src/core/controller/*/index.ts
 src/core/controller/grpc-service-config.ts
-# Shared
-src/shared/proto/*.ts
-src/shared/proto/host/*.ts
-# Webview
 webview-ui/src/services/grpc-client.ts
-# Standalone
 src/standalone/server-setup.ts
-src/standalone/services/host-grpc-client.ts
-# Host bridge
-hosts/vscode/*/methods.ts
-hosts/vscode/*/index.ts
-hosts/vscode/host-grpc-service-config.ts

.mocharc.json

@@ -1,6 +1,6 @@
 {
 	"extension": ["ts"],
-	"spec": ["src/**/__tests__/*.ts", "eslint-rules/__tests__/**/*.test.ts"],
+	"spec": "src/**/__tests__/*.ts",
 	"require": ["ts-node/register", "source-map-support/register", "./src/test/requires.ts"],
 	"recursive": true
 }

.prettierignore

@@ -3,5 +3,3 @@ node_modules
 webview-ui/build/
 *.md
 package-lock.json
-src/core/prompts/system.ts
-src/core/prompts/model_prompts/claude4.ts

.vscode/launch.json

@@ -52,8 +52,7 @@
 			"env": {
 				"GRPC_TRACE": "all",
 				"GRPC_VERBOSITY": "DEBUG",
-				"NODE_PATH": "${workspaceFolder}/dist-standalone/node_modules",
-				"CLINE_DIR": "${userHome}/.cline-standalone"
+				"NODE_PATH": "${workspaceFolder}/dist-standalone/node_modules"
 			},
 			"program": "standalone.js"
 		}

CHANGELOG.md

@@ -1,55 +1,5 @@
 # Changelog
 
-## [3.17.11]
-
--   Add support for Gemini 2.5 Pro Preview 06-05 model to Vertex AI and Google Gemini providers
-
-## [3.17.10]
-
--   Add support for Qwen 3 series models with thinking mode options (Thanks @Jonny-china!)
--   Add new AskSage models: Claude 4 Sonnet, Claude 4 Opus, GPT 4.1, Gemini 2.5 Pro (Thanks @swhite24!)
--   Add VSCode walkthrough to help new users get started with Cline
--   Add support for streamable MCP servers
--   Improve Ollama model selection with filterable dropdown instead of radio buttons (Thanks @paulgear!)
--   Add setting to disable aggressive terminal reuse to help users experiencing task lockout issues
--   Fix settings dialog applying changes even when cancel button is clicked
-
-## [3.17.9]
-
--   Aligning Cline to work with Claude 4 model family (Experimental)
--   Add task timeline scrolling feature
--   Add support for uploading CSV and XLSX files for data analysis and processing
--   Add stable Grok-3 models to xAI provider (grok-3, grok-3-fast, grok-3-mini, grok-3-mini-fast) and update default model from grok-3-beta to grok-3 (Thanks @PeterDaveHello!)
--   Add new models to Vertex AI provider
--   Add new model to Nebius AI Studio
--   Remove hard-coded temperature from LM Studio API requests and add support for reasoning_content in LM Studio responses
--   Display delay information when retrying API calls for better user feedback
--   Fix AWS Bedrock credential caching issue where externally updated credentials (e.g., by AWS Identity Manager) were not detected, requiring extension restart (Thanks @DaveFres!)
--   Fix search tool overloading conversation with massive outputs by setting maximum byte limit for responses
--   Fix checkpoints functionality
--   Fix token counting for xAI provider
--   Fix Ollama provider issues
--   Fix window title display for Windows users
--   Improve chat box UI
-
-## [3.17.8]
-
--   Fix bug where terminal would get stuck and output "capture failure"
-
-## [3.17.7]
-
--   Fix diff editing reliability for Claude 4 family models by adding constraints to prevent errors with large replacements
-
-## [3.17.6]
-
--   Add Cerebras as a new API provider with 5 high-performance models including reasoning-capable models (Thanks @kevint-cerebras!)
--   Add support for uploading various file types (XML, JSON, TXT, LOG, MD, DOCX, IPYNB, PDF) alongside images
--   Add improved onboarding experience for new users with guided setup
--   Add prompt cache indicator for Gemini 2.5 Flash models
--   Update SambaNova provider with new model list and documentation links (Thanks @luisfucros!)
--   Fix diff editing support for Claude 4 family of models
--   Improve telemetry and analytics for better user experience insights
-
 ## [3.17.5]
 
 -   Fix issue with Claude 4 models where after several conversation turns, it would start making invalid diff edits

CONTRIBUTING.md

@@ -34,20 +34,18 @@ If you're planning to work on a bigger feature, please create a [feature request
 3. **Linux-specific Setup**
     VS Code extension tests on Linux require the following system libraries:
 
-    - `dbus`
-    - `libasound2`
-    - `libatk-bridge2.0-0`
     - `libatk1.0-0`
-    - `libdrm2`
-    - `libgbm1`
-    - `libgtk-3-0`
-    - `libnss3`
+    - `libatk-bridge2.0-0`
+    - `libxkbfile1`
     - `libx11-xcb1`
     - `libxcomposite1`
     - `libxdamage1`
     - `libxfixes3`
-    - `libxkbfile1`
     - `libxrandr2`
+    - `libgbm1`
+    - `libdrm2`
+    - `libgtk-3-0`
+    - `dbus`
     - `xvfb`
 
     These libraries provide necessary GUI components and system services for the test environment.
@@ -56,21 +54,9 @@ If you're planning to work on a bigger feature, please create a [feature request
     ```bash
     sudo apt update
     sudo apt install -y \
-      dbus \
-      libasound2 \
-      libatk-bridge2.0-0 \
-      libatk1.0-0 \
-      libdrm2 \
-      libgbm1 \
-      libgtk-3-0 \
-      libnss3 \
-      libx11-xcb1 \
-      libxcomposite1 \
-      libxdamage1 \
-      libxfixes3 \
-      libxkbfile1 \
-      libxrandr2 \
-      xvfb
+      libatk1.0-0 libatk-bridge2.0-0 libxkbfile1 libx11-xcb1 \
+      libxcomposite1 libxdamage1 libxfixes3 libxrandr2 libgbm1 \
+      libdrm2 libgtk-3-0 dbus xvfb
     ```
 
     - Run `npm run test:ci` to run tests locally

README.md

@@ -51,7 +51,7 @@ Thanks to [Claude 3.7 Sonnet's agentic coding capabilities](https://www.anthrop
 
 ### Use any API and Model
 
-Cline supports API providers like OpenRouter, Anthropic, OpenAI, Google Gemini, AWS Bedrock, Azure, GCP Vertex, and Cerebras. You can also configure any OpenAI compatible API, or use a local model through LM Studio/Ollama. If you're using OpenRouter, the extension fetches their latest model list, allowing you to use the newest models as soon as they're available.
+Cline supports API providers like OpenRouter, Anthropic, OpenAI, Google Gemini, AWS Bedrock, Azure, and GCP Vertex. You can also configure any OpenAI compatible API, or use a local model through LM Studio/Ollama. If you're using OpenRouter, the extension fetches their latest model list, allowing you to use the newest models as soon as they're available.
 
 The extension also keeps track of total tokens and API usage cost for the entire task loop and individual requests, keeping you informed of spend every step of the way.
 

docs/custom-model-configs/aws-bedrock-with-credentials-authentication.mdx

@@ -25,41 +25,12 @@ description: "Learn how to set up AWS Bedrock with Cline using credentials authe
 
 #### 1.2 Attach the Required Policies
 
-To ensure Cline can interact with AWS Bedrock, your IAM user or role needs specific permissions. While the `AmazonBedrockFullAccess` managed policy provides comprehensive access, for a more restricted and secure setup adhering to the principle of least privilege, the following minimal permissions are sufficient for Cline's core model invocation functionality:
-
--   `bedrock:InvokeModel`
--   `bedrock:InvokeModelWithResponseStream`
-
-You can create a custom IAM policy with these permissions and attach it to your IAM user or role.
-
-**Option 1: Minimal Permissions (Recommended for Production & Least Privilege)**
-
-1.  In the AWS IAM console, create a new policy.
-2.  Use the JSON editor to add the following policy document:
-    ```json
-    {
-    	"Version": "2012-10-17",
-    	"Statement": [
-    		{
-    			"Effect": "Allow",
-    			"Action": ["bedrock:InvokeModel", "bedrock:InvokeModelWithResponseStream"],
-    			"Resource": "*" // For enhanced security, scope this to specific model ARNs if possible.
-    		}
-    	]
-    }
-    ```
-3.  Name the policy (e.g., `ClineBedrockInvokeAccess`) and attach it to your IAM user or role.
-
-**Option 2: Using a Managed Policy (Simpler Initial Setup)**
-
--   Alternatively, you can attach the AWS managed policy **`AmazonBedrockFullAccess`**. This grants broader permissions, including the ability to list models, manage provisioning, and other Bedrock features. This might be simpler for initial setup or if you require these wider capabilities.
-    [View AmazonBedrockFullAccess Policy Details](https://docs.aws.amazon.com/bedrock/latest/userguide/security-iam.html)
-
-**Important Considerations:**
-
--   **Model Listing in Cline:** The minimal permissions (`bedrock:InvokeModel`, `bedrock:InvokeModelWithResponseStream`) are sufficient for Cline to _use_ a model if you specify the model ID directly in Cline's settings. If you rely on Cline to dynamically list available Bedrock models, you might need additional permissions like `bedrock:ListFoundationModels`.
--   **AWS Marketplace Subscriptions:** For third-party models (e.g., Anthropic Claude), ensure you have active AWS Marketplace subscriptions. This is typically managed in the AWS Bedrock console under "Model access" and might require `aws-marketplace:Subscribe` permissions if not already handled.
--   _Enterprise Tip:_ Always apply least-privilege practices. Where possible, scope resource ARNs in your IAM policies to specific models or regions. Utilize [Service Control Policies (SCPs)](https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html) for overarching governance in AWS Organizations.
+1. **Attach the Managed Policy:**
+    - Attach the **`AmazonBedrockFullAccess`** managed policy to your user/role.\
+      [View AmazonBedrockFullAccess Policy Details](https://docs.aws.amazon.com/bedrock/latest/userguide/security-iam.html)
+2. **Confirm Additional Permissions:**
+    - 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.
 
 ---
 

docs/docs.json

@@ -143,22 +143,12 @@
 				]
 			},
 			{
-				"group": "Provider Configuration",
+				"group": "Custom Model Configurations",
 				"pages": [
-					"provider-config/anthropic",
-					"provider-config/aws-bedrock-with-credentials-authentication",
-					"provider-config/aws-bedrock-with-profile-authentication",
-					"provider-config/gcp-vertex-ai",
-					"provider-config/litellm-and-cline-using-codestral",
-					"provider-config/vscode-language-model-api",
-					"provider-config/xai-grok",
-					"provider-config/mistral-ai",
-					"provider-config/deepseek",
-					"provider-config/ollama",
-					"provider-config/openai",
-					"provider-config/openai-compatible",
-					"provider-config/openrouter",
-					"provider-config/requesty"
+					"custom-model-configs/aws-bedrock-with-credentials-authentication",
+					"custom-model-configs/aws-bedrock-with-profile-authentication",
+					"custom-model-configs/gcp-vertex-ai",
+					"custom-model-configs/litellm-and-cline-using-codestral"
 				]
 			},
 			{

docs/enterprise-solutions/cloud-provider-integration.mdx

@@ -14,9 +14,9 @@ Certain scenarios may warrant using local models, including handling highly sens
 
 #### [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)](/provider-config/aws-bedrock-with-credentials-authentication)
+#### [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)](/provider-config/aws-bedrock-with-profile-authentication)
+#### [AWS Bedrock setup for SSO token (AWS Profile)](/custom-model-configs/aws-bedrock-with-profile-authentication.mdx)
 
 #### VPC Endpoint Setup
 

docs/features/plan-and-act.mdx

@@ -6,13 +6,10 @@ sidebarTitle: "Plan & Act"
 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.
 
 <Frame>
-	<iframe
-		style={{ width: "100%", aspectRatio: "16/9" }}
-		src="https://www.youtube.com/embed/b7o6URFPp64"
-		title="YouTube video player"
-		frameBorder="0"
-		allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
-		allowFullScreen></iframe>
+	<img
+		src="https://storage.googleapis.com/cline_public_images/docs/assets/planningThenActing%20(1).gif"
+		alt="Use Plan to gather context before using Act to implement the plan"
+	/>
 </Frame>
 
 #### Plan Mode: Think First

docs/getting-started/for-new-coders.mdx

@@ -13,13 +13,35 @@ Before you jump into coding, make sure you have these essentials ready:
 
 A popular, free, and powerful code editor.
 
--   [<u>Download VS Code</u>](https://code.visualstudio.com/)
+-   [Download VS Code](https://code.visualstudio.com/)
 
-📺 **Recommended YouTube Tutorial:** [<u>How to Install VS Code</u>](https://www.youtube.com/watch?v=MlIzFUI1QGA)
+📺 **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. **Organize Your Projects**
+#### 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:
 
@@ -33,36 +55,14 @@ Inside your `Cline` folder, structure projects clearly:
 
 > 💡 **Tip:** Keeping your projects organized from the start will save you time and confusion later!
 
-#### 3. **Install the Cline VS Code Extension**
+#### 4. **Install the Cline VS Code Extension**
 
 Enhance your coding workflow by installing the Cline extension directly within VS Code:
 
 -   Get Started with Cline Extension Tutorial
 
-📺 **Recommended YouTube Tutorial:** [<u>How To Install Extensions in VS Code</u>](https://www.youtube.com/watch?v=E7trgwZa-mk)
+📺 **Recommended YouTube Tutorial:** [How To Install Extensions in VS Code](https://www.youtube.com/watch?v=E7trgwZa-mk)
 
 > ✅ **Pro Tip:** After installing, reload VS Code to ensure the extension is activated properly.
 
-#### 4. **Essential Development Tools**
-
-Basic software required for coding efficiently:
-
--   Homebrew (macOS)
--   Node.js
--   Git
-
-👉 [<u>Follow our detailed guide on Installing Essential Development Tools with step-by-step help from Cline.</u>](https://docs.cline.bot/getting-started/installing-dev-essentials#installing-dev-essentials)
-
-📺 **Recommended YouTube Tutorials for Manual Installation:**
-
--   **For macOS:**
-    -   [<u>Install Homebrew on Mac</u>](https://www.youtube.com/watch?v=hwGNgVbqasc)
-    -   [<u>Install Git on macOS 2024</u>](https://www.youtube.com/watch?v=B4qsvQ5IqWk)
-    -   [<u>Install Node.js on Mac (M1 | M2 | M3)</u>](https://www.youtube.com/watch?v=I8H4wolRFBk)
--   **For Windows:**
-    -   [<u>Install Git on Windows 10/11 (2024)</u>](https://www.youtube.com/watch?v=yjxv1HuRQy0)
-    -   [<u>Install Node.js in Windows 10/11</u>](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.
-
 🎉 You're all set! Dive in and start coding smarter and faster with **Cline**.

docs/getting-started/installing-cline.mdx

@@ -60,6 +60,7 @@ Now that you have Cline installed, let's get you set up with your account:
     - DeepSeek Chat (cost-effective alternative)
     - Google Gemini 2.0 Flash
     - And more — all through your Cline account.
+4.  -
 
 ### 💻 Your First Interaction with Cline
 

docs/getting-started/our-favorite-tech-stack.mdx

@@ -69,9 +69,9 @@ Choose your AI assistant based on your needs:
 ### Getting Started
 
 1. Install the development essentials:
-    - Follow our [Development Essentials Installation Guide](https://docs.cline.bot/getting-started/installing-dev-essentials)
+    - Follow our [Development Essentials Installation Guide](https://docs.cline.bot/getting-started/getting-started-new-coders/installing-dev-essentials)
 2. Set up Cline's Memory Bank:
-    - Follow the [Memory Bank setup instructions](https://docs.cline.bot/prompting/cline-memory-bank)
+    - Follow the [Memory Bank setup instructions](https://docs.cline.bot/improving-your-prompting-skills/custom-instructions-library/cline-memory-bank)
     - Create an empty `cline_docs` folder in your project root
     - Create `projectBrief.md` in the `cline_docs` folder (see example below)
     - Tell Cline to "initialize memory bank"
@@ -197,20 +197,20 @@ git push origin main                        # Upload to GitHub
 1.  **Start of day**: Get latest changes
 
     ```bash
-    git pull origin main                     # Download latest code
+    bashCopygit pull origin main                     # Download latest code
     ```
 
 2.  **During development**: Save work regularly
 
     ```bash
-    git add .
+    bashCopygit add .
     git commit -m "Clear message about changes"
     ```
 
 3.  **End of day**: Share your progress
 
     ```bash
-    git push origin main                     # Upload to GitHub
+    bashCopygit push origin main                     # Upload to GitHub
     ```
 
 **Best Practices**

docs/getting-started/understanding-context-management.mdx

@@ -38,7 +38,7 @@ Cline actively builds context in two ways:
     - Guide focus areas
     - Share design thoughts and requirements
 
-💡 **Key Point**: Cline isn't passive - it actively seeks to understand your project. You can either let it explore or guide its focus, especially in [Plan](https://docs.cline.bot/features/plan-and-act) mode.
+💡 **Key Point**: Cline isn't passive - it actively seeks to understand your project. You can either let it explore or guide its focus, especially in [Plan](https://docs.cline.bot/exploring-clines-tools/plan-and-act-modes-a-guide-to-effective-ai-development) mode.
 
 ### Context & Context Windows
 
@@ -93,7 +93,7 @@ Context files help maintain understanding across sessions. They serve as documen
 
 #### Approaches to Context Files
 
-1. **Evergreen Project Context (i.e.** [**Memory Bank**](https://docs.cline.bot/prompting/cline-memory-bank)**)**
+1. **Evergreen Project Context (i.e.** [**Memory Bank**](https://docs.cline.bot/improving-your-prompting-skills/custom-instructions-library/cline-memory-bank)**)**
     - Living documentation that evolves with your project
     - Updated as architecture and patterns emerge
     - Example: The Memory Bank pattern maintains files like `techContext.md` and `systemPatterns.md`
@@ -151,7 +151,7 @@ Context files help maintain understanding across sessions. They serve as documen
     - Use Plan mode for complex discussions
     - Start fresh sessions when needed
 3. **Team Projects**
-    - Share common context files (consider using [.clinerules](https://docs.cline.bot/features/cline-rules) files in project roots)
+    - Share common context files (consider using [.clinerules](https://docs.cline.bot/improving-your-prompting-skills/prompting) files in project roots)
     - Document architectural decisions
     - Maintain consistent patterns
     - Keep documentation current

docs/provider-config/anthropic.mdx

@@ -1,61 +0,0 @@
----
-title: "Anthropic"
-description: "Learn how to configure and use Anthropic Claude models with Cline. Covers API key setup, model selection, and advanced features like prompt caching."
----
-
-**Website:** [https://www.anthropic.com/](https://www.anthropic.com/)
-
-### Getting an API Key
-
-1.  **Sign Up/Sign In:** Go to the [Anthropic Console](https://console.anthropic.com/). Create an account or sign in.
-2.  **Navigate to API Keys:** Go to the [API keys](https://console.anthropic.com/settings/keys) section.
-3.  **Create a Key:** Click "Create Key". Give your key a descriptive name (e.g., "Cline").
-4.  **Copy the Key:** **Important:** Copy the API key _immediately_. You will not be able to see it again. Store it securely.
-
-### Supported Models
-
-Cline supports the following Anthropic Claude models:
-
--   `claude-opus-4-20250514`
--   `claude-opus-4-20250514:thinking` (Extended Thinking variant)
--   `claude-sonnet-4-20250514` (Recommended)
--   `claude-sonnet-4-20250514:thinking` (Extended Thinking variant)
--   `claude-3-7-sonnet-20250219`
--   `claude-3-7-sonnet-20250219:thinking` (Extended Thinking variant)
--   `claude-3-5-sonnet-20241022`
--   `claude-3-5-haiku-20241022`
--   `claude-3-opus-20240229`
--   `claude-3-haiku-20240307`
-
-See [Anthropic's Model Documentation](https://docs.anthropic.com/en/docs/about-claude/models) for more details on each model's capabilities.
-
-### Configuration in Cline
-
-1.  **Open Cline Settings:** Click the settings icon (⚙️) in the Cline panel.
-2.  **Select Provider:** Choose "Anthropic" from the "API Provider" dropdown.
-3.  **Enter API Key:** Paste your Anthropic API key into the "Anthropic API Key" field.
-4.  **Select Model:** Choose your desired Claude model from the "Model" dropdown.
-5.  **(Optional) Custom Base URL:** If you need to use a custom base URL for the Anthropic API, check "Use custom base URL" and enter the URL. Most users won't need to adjust this setting.
-
-### Extended Thinking
-
-Anthropic models offer an "Extended Thinking" feature, designed to give them enhanced reasoning capabilities for complex tasks. This feature allows the model to output its step-by-step thought process before delivering a final answer, providing transparency and enabling more thorough analysis for challenging prompts.
-
-When extended thinking is in Cline, the model generates `thinking` content blocks that detail its internal reasoning. These insights are then incorporated into its final response.
-Cline users can leverage this by checking the `Enable Extended Thinking` box below the model selection menu after selecting a Claude Model from any provider.
-
-**Key Aspects of Extended Thinking:**
-
--   **Supported Models:** This feature is available for select models, including variants of Claude Opus 4, Claude Sonnet 4, and Claude Sonnet 3.7. The specific models listed in the "Supported Models" section above with the `:thinking` suffix are pre-configured in Cline to utilize this.
--   **Summarized Thinking (Claude 4):** For Claude 4 models, the API returns a summary of the full thinking process to balance insight with efficiency and prevent misuse. You are billed for the full thinking tokens, not just the summary.
--   **Streaming:** Extended thinking responses, including the `thinking` blocks, can be streamed.
--   **Tool Use & Prompt Caching:** Extended thinking interacts with tool use (requiring thinking blocks to be passed back) and prompt caching (with specific behaviors around cache invalidation and context).
-
-For comprehensive details on how extended thinking works, including API examples, interaction with tool use, prompt caching, and pricing, please refer to the [official Anthropic documentation on Extended Thinking](https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking).
-
-### Tips and Notes
-
--   **Prompt Caching:** Claude 3 models support [prompt caching](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching), which can significantly reduce costs and latency for repeated prompts.
--   **Context Window:** Claude models have large context windows (200,000 tokens), allowing you to include a significant amount of code and context in your prompts.
--   **Pricing:** Refer to the [Anthropic Pricing](https://www.anthropic.com/pricing) page for the latest pricing information.
--   **Rate Limits:** Anthropic has strict rate limits based on [usage tiers](https://docs.anthropic.com/en/api/rate-limits#requirements-to-advance-tier). If you're repeatedly hitting rate limits, consider contacting Anthropic sales or accessing Claude through a different provider like [OpenRouter](/provider-config/openrouter) or [Requesty](/provider-config/requesty).

docs/provider-config/deepseek.mdx

@@ -1,33 +0,0 @@
----
-title: "DeepSeek"
-description: "Learn how to configure and use DeepSeek models like deepseek-chat and deepseek-reasoner with Cline."
----
-
-Cline supports accessing models through the DeepSeek API, including `deepseek-chat` and `deepseek-reasoner`.
-
-**Website:** [https://platform.deepseek.com/](https://platform.deepseek.com/)
-
-### Getting an API Key
-
-1.  **Sign Up/Sign In:** Go to the [DeepSeek Platform](https://platform.deepseek.com/). Create an account or sign in.
-2.  **Navigate to API Keys:** Find your API keys in the [API keys](https://platform.deepseek.com/api_keys) section of the platform.
-3.  **Create a Key:** Click "Create new API key". Give your key a descriptive name (e.g., "Cline").
-4.  **Copy the Key:** **Important:** Copy the API key _immediately_. You will not be able to see it again. Store it securely.
-
-### Supported Models
-
-Cline supports the following DeepSeek models:
-
--   `deepseek-v3-0324` (Recommended for coding tasks)
--   `deepseek-r1` (Recommended for reasoning tasks)
-
-### Configuration in Cline
-
-1.  **Open Cline Settings:** Click the ⚙️ icon in the Cline panel.
-2.  **Select Provider:** Choose "DeepSeek" from the "API Provider" dropdown.
-3.  **Enter API Key:** Paste your DeepSeek API key into the "DeepSeek API Key" field.
-4.  **Select Model:** Choose your desired model from the "Model" dropdown.
-
-### Tips and Notes
-
--   **Pricing:** Refer to the [DeepSeek Pricing](https://api-docs.deepseek.com/quick_start/pricing/) page for details on model costs.

docs/provider-config/mistral-ai.mdx

@@ -1,53 +0,0 @@
----
-title: "Mistral"
-description: "Learn how to configure and use Mistral AI models, including Codestral, with Cline. Covers API key setup and model selection."
----
-
-Cline supports accessing models through the Mistral AI API, including both standard Mistral models and the code-specialized Codestral model.
-
-**Website:** [https://mistral.ai/](https://mistral.ai/)
-
-### Getting an API Key
-
-1.  **Sign Up/Sign In:** Go to the [Mistral Platform](https://console.mistral.ai/). Create an account or sign in. You may need to go through a verification process.
-2.  **Create an API Key:**
-    -   [La Plateforme API Key](https://console.mistral.ai/api-keys/) and/or
-    -   [Codestral API Key](https://console.mistral.ai/codestral)
-
-### Supported Models
-
-Cline supports the following Mistral models:
-
--   pixtral-large-2411
--   ministral-3b-2410
--   ministral-8b-2410
--   mistral-small-latest
--   mistral-medium-latest
--   mistral-small-2501
--   pixtral-12b-2409
--   open-mistral-nemo-2407
--   open-codestral-mamba
--   codestral-2501
--   devstral-small-2505
-
-**Note:** Model availability and specifications may change.
-Refer to the [Mistral AI documentation](https://docs.mistral.ai/api/) and [Mistral Model Overview](https://docs.mistral.ai/getting-started/models/models_overview/) for the most current information.
-
-### Configuration in Cline
-
-1.  **Open Cline Settings:** Click the settings icon (⚙️) in the Cline panel.
-2.  **Select Provider:** Choose "Mistral" from the "API Provider" dropdown.
-3.  **Enter API Key:** Paste your Mistral API key into the "Mistral API Key" field if you're using a standard `mistral` model. If you intend to use `codestral-latest`, see the "Using Codestral" section below.
-4.  **Select Model:** Choose your desired model from the "Model" dropdown.
-
-### Using Codestral
-
-[Codestral](https://docs.mistral.ai/capabilities/code_generation/) is a model specifically designed for code generation and interaction.
-For Codestral, you can use different endpoints (Default: codestral.mistral.ai).
-If using the La Plateforme API Key for Codestral, change the **Codestral Base Url** to: `https://api.mistral.ai`
-
-To use Codestral with Cline:
-
-1.  **Select "Mistral" as the API Provider in Cline Settings.**
-2.  **Select a Codestral Model** (e.g., `codestral-latest`) from the "Model" dropdown.
-3.  **Enter your Codestral API Key** (from `codestral.mistral.ai`) or your La Plateforme API Key (from `api.mistral.ai`) into the appropriate API key field in Cline.

docs/provider-config/ollama.mdx

@@ -1,78 +0,0 @@
----
-title: "Ollama"
----
-
-Cline supports running models locally using Ollama. This approach offers privacy, offline access, and potentially reduced costs. It requires some initial setup and a sufficiently powerful computer. Because of the present state of consumer hardware, it's not recommended to use Ollama with Cline as performance will likely be poor for average hardware configurations.
-
-**Website:** [https://ollama.com/](https://ollama.com/)
-
-### Setting up Ollama
-
-1.  **Download and Install Ollama:**
-    Obtain the Ollama installer for your operating system from the [Ollama website](https://ollama.com/) and follow their installation guide. Ensure Ollama is running. You can typically start it with:
-
-    ```bash
-    ollama serve
-    ```
-
-2.  **Download a Model:**
-    Ollama supports a wide variety of models. A list of available models can be found on the [Ollama model library](https://ollama.com/library). Some models recommended for coding tasks include:
-
-    -   `codellama:7b-code` (a good, smaller starting point)
-    -   `codellama:13b-code` (offers better quality, larger size)
-    -   `codellama:34b-code` (provides even higher quality, very large)
-    -   `qwen2.5-coder:32b`
-    -   `mistralai/Mistral-7B-Instruct-v0.1` (a solid general-purpose model)
-    -   `deepseek-coder:6.7b-base` (effective for coding)
-    -   `llama3:8b-instruct-q5_1` (suitable for general tasks)
-
-    To download a model, open your terminal and execute:
-
-    ```bash
-    ollama pull <model_name>
-    ```
-
-    For instance:
-
-    ```bash
-    ollama pull qwen2.5-coder:32b
-    ```
-
-3.  **Configure the Model's Context Window:**
-    By default, Ollama models often use a context window of 2048 tokens, which can be insufficient for many Cline requests. A minimum of 12,000 tokens is advisable for decent results, with 32,000 tokens being ideal. To adjust this, you'll modify the model's parameters and save it as a new version.
-
-    First, load the model (using `qwen2.5-coder:32b` as an example):
-
-    ```bash
-    ollama run qwen2.5-coder:32b
-    ```
-
-    Once the model is loaded within the Ollama interactive session, set the context size parameter:
-
-    ```
-    /set parameter num_ctx 32768
-    ```
-
-    Then, save this configured model with a new name:
-
-    ```
-    /save your_custom_model_name
-    ```
-
-    (Replace `your_custom_model_name` with a name of your choice.)
-
-4.  **Configure Cline:**
-    -   Open the Cline sidebar (usually indicated by the Cline icon).
-    -   Click the settings gear icon (⚙️).
-    -   Select "ollama" as the API Provider.
-    -   Enter the Model name you saved in the previous step (e.g., `your_custom_model_name`).
-    -   (Optional) Adjust the base URL if Ollama is running on a different machine or port. The default is `http://localhost:11434`.
-    -   (Optional) Configure the Model context size in Cline's Advanced settings. This helps Cline manage its context window effectively with your customized Ollama model.
-
-### Tips and Notes
-
--   **Resource Demands:** Running large language models locally can be demanding on system resources. Ensure your computer meets the requirements for your chosen model.
--   **Model Choice:** Experiment with various models to discover which best fits your specific tasks and preferences.
--   **Offline Capability:** After downloading a model, you can use Cline with that model even without an internet connection.
--   **Token Usage Tracking:** Cline tracks token usage for models accessed via Ollama, allowing you to monitor consumption.
--   **Ollama's Own Documentation:** For more detailed information, consult the official [Ollama documentation](https://ollama.com/docs).

docs/provider-config/openai-compatible.mdx

@@ -1,72 +0,0 @@
----
-title: "OpenAI Compatible"
-description: "Learn how to configure Cline with various AI model providers that offer OpenAI-compatible APIs."
----
-
-Cline supports a wide range of AI model providers that offer APIs compatible with the OpenAI API standard. This allows you to use models from providers _other than_ OpenAI, while still utilizing a familiar API interface. This includes providers such as:
-
--   **Local models** running through tools like Ollama and LM Studio (which are covered in their respective sections).
--   **Cloud providers** like Perplexity, Together AI, Anyscale, and many others.
--   **Any other provider** that offers an OpenAI-compatible API endpoint.
-
-This document focuses on setting up providers _other than_ the official OpenAI API (which has its own [dedicated configuration page](/provider-config/openai)).
-
-### General Configuration
-
-The key to using an OpenAI-compatible provider with Cline is to configure these main settings:
-
-1.  **Base URL:** This is the API endpoint specific to the provider. It will _not_ be `https://api.openai.com/v1` (that URL is for the official OpenAI API).
-2.  **API Key:** This is the secret key you obtain from your chosen provider.
-3.  **Model ID:** This is the specific name or identifier for the model you wish to use.
-
-You'll find these settings in the Cline settings panel (click the ⚙️ icon):
-
--   **API Provider:** Select "OpenAI Compatible".
--   **Base URL:** Enter the base URL provided by your chosen provider. **This is a crucial step.**
--   **API Key:** Enter your API key from the provider.
--   **Model:** Choose or enter the model ID.
--   **Model Configuration:** This section allows you to customize advanced parameters for the model, such as:
-    -   Max Output Tokens
-    -   Context Window size
-    -   Image Support capabilities
-    -   Computer Use (e.g., for models with tool/function calling)
-    -   Input Price (per token/million tokens)
-    -   Output Price (per token/million tokens)
-
-### Supported Models (for OpenAI Native Endpoint)
-
-While the "OpenAI Compatible" provider type allows connecting to various endpoints, if you are connecting directly to the official OpenAI API (or an endpoint that mirrors it exactly), Cline recognizes the following model IDs based on the `openAiNativeModels` definition in its source code:
-
--   `o3-mini`
--   `o3-mini-high`
--   `o3-mini-low`
--   `o1`
--   `o1-preview`
--   `o1-mini`
--   `gpt-4.5-preview`
--   `gpt-4o`
--   `gpt-4o-mini`
-
-**Note:** If you are using a different OpenAI-compatible provider (such as Together AI, Anyscale, etc.), the available model IDs will differ. Always refer to your specific provider's documentation for their supported model names and any unique configuration details.
-
-### v0 (Vercel SDK) in Cline:
-
--   For developers working with v0, their [AI SDK documentation](https://vercel.com/docs/v0/cline) provides valuable insights and examples for integrating various models, many of which are OpenAI-compatible. This can be a helpful resource for understanding how to structure calls and manage configurations when using Cline with services deployed on or integrated with Vercel.
-
--   v0 can be used in Cline with the OpenAI Compatible provider.
-
--   ### Quickstart
-
--   1. With the OpenAI Compatible provider selected, set the Base URL to https://api.v0.dev/v1.
--   2. Paste in your v0 API Key
--   3. Set the Model ID: v0-1.0-md
--   4. Click Verify to confirm the connection.
-
-### Troubleshooting
-
--   **"Invalid API Key":** Double-check that you've entered the API key correctly and that it's for the correct provider.
--   **"Model Not Found":** Ensure you're using a valid model ID for your chosen provider and that it's available at the specified Base URL.
--   **Connection Errors:** Verify the Base URL is correct, that your provider's API is accessible from your machine, and that there are no firewall or network issues.
--   **Unexpected Results:** If you're getting unexpected outputs, try a different model or double-check all configuration parameters.
-
-By using an OpenAI-compatible provider, you can leverage the flexibility of Cline with a wider array of AI models. Remember to always consult your provider's documentation for the most accurate and up-to-date information.

docs/provider-config/openai.mdx

@@ -1,48 +0,0 @@
----
-title: "OpenAI"
-description: "Learn how to configure and use official OpenAI models with Cline."
----
-
-Cline supports accessing models directly through the official OpenAI API.
-
-**Website:** [https://openai.com/](https://openai.com/)
-
-### Getting an API Key
-
-1.  **Sign Up/Sign In:** Visit the [OpenAI Platform](https://platform.openai.com/). You'll need to create an account or sign in if you already have one.
-2.  **Navigate to API Keys:** Once logged in, go to the [API keys section](https://platform.openai.com/api-keys) of your account.
-3.  **Create a Key:** Click on "Create new secret key". It's good practice to give your key a descriptive name (e.g., "Cline API Key").
-4.  **Copy the Key:** **Crucial:** Copy the generated API key immediately. For security reasons, OpenAI will not show it to you again. Store this key in a safe and secure location.
-
-### Supported Models
-
-Cline is compatible with a variety of OpenAI models, including but not limited to:
-
--   'o3'
--   `o3-mini` (medium reasoning effort)
--   'o4-mini'
--   `o3-mini-high` (high reasoning effort)
--   `o3-mini-low` (low reasoning effort)
--   `o1`
--   `o1-preview`
--   `o1-mini`
--   `gpt-4.5-preview`
--   `gpt-4o`
--   `gpt-4o-mini`
--   'gpt-4.1'
--   'gpt-4.1-mini'
-
-For the most current list of available models and their capabilities, please refer to the official [OpenAI Models documentation](https://platform.openai.com/docs/models).
-
-### Configuration in Cline
-
-1.  **Open Cline Settings:** Click the settings gear icon (⚙️) in the Cline panel.
-2.  **Select Provider:** Choose "OpenAI" from the "API Provider" dropdown menu.
-3.  **Enter API Key:** Paste your OpenAI API key into the "OpenAI API Key" field.
-4.  **Select Model:** Choose your desired model from the "Model" dropdown list.
-5.  **(Optional) Base URL:** If you need to use a proxy or a custom base URL for the OpenAI API, you can enter it here. Most users will not need to change this from the default.
-
-### Tips and Notes
-
--   **Pricing:** Be sure to review the [OpenAI Pricing page](https://openai.com/pricing) for detailed information on the costs associated with different models.
--   **Azure OpenAI Service:** If you are looking to use the Azure OpenAI service, please note that specific documentation for Azure OpenAI with Cline may be found separately, or you might need to configure it as an OpenAI-compatible endpoint if such functionality is supported by Cline for custom configurations.

docs/provider-config/openrouter.mdx

@@ -1,40 +0,0 @@
----
-title: "OpenRouter"
-description: "Learn how to use OpenRouter with Cline to access a wide variety of language models through a single API."
----
-
-OpenRouter is an AI platform that provides access to a wide variety of language models from different providers, all through a single API. This can simplify setup and allow you to easily experiment with different models.
-
-**Website:** [https://openrouter.ai/](https://openrouter.ai/)
-
-### Getting an API Key
-
-1.  **Sign Up/Sign In:** Go to the [OpenRouter website](https://openrouter.ai/). Sign in with your Google or GitHub account.
-2.  **Get an API Key:** Go to the [keys page](https://openrouter.ai/keys). You should see an API key listed. If not, create a new key.
-3.  **Copy the Key:** Copy the API key.
-
-### Supported Models
-
-OpenRouter supports a large and growing number of models. Cline automatically fetches the list of available models. Refer to the [OpenRouter Models page](https://openrouter.ai/models) for the complete and up-to-date list.
-
-### Configuration in Cline
-
-1.  **Open Cline Settings:** Click the settings icon (⚙️) in the Cline panel.
-2.  **Select Provider:** Choose "OpenRouter" from the "API Provider" dropdown.
-3.  **Enter API Key:** Paste your OpenRouter API key into the "OpenRouter API Key" field.
-4.  **Select Model:** Choose your desired model from the "Model" dropdown.
-5.  **(Optional) Custom Base URL:** If you need to use a custom base URL for the OpenRouter API, check "Use custom base URL" and enter the URL. Leave this blank for most users.
-
-### Supported Transforms
-
-OpenRouter provides an [optional "middle-out" message transform](https://openrouter.ai/docs/features/message-transforms) to help with prompts that exceed the maximum context size of a model. You can enable it by checking the "Compress prompts and message chains to the context size" box.
-
-### Tips and Notes
-
--   **Model Selection:** OpenRouter offers a wide range of models. Experiment to find the best one for your needs.
--   **Pricing:** OpenRouter charges based on the underlying model's pricing. See the [OpenRouter Models page](https://openrouter.ai/models) for details.
--   **Prompt Caching:**
-    -   OpenRouter passes caching requests to underlying models that support it. Check the [OpenRouter Models page](https://openrouter.ai/models) to see which models offer caching.
-    -   For most models, caching should activate automatically if supported by the model itself (similar to how Requesty works).
-    -   **Exception for Gemini Models via OpenRouter:** Due to potential response delays sometimes observed with Google's caching mechanism when accessed via OpenRouter, a manual activation step is required _specifically for Gemini models_.
-    -   If using a **Gemini model** via OpenRouter, you **must manually check** the "Enable Prompt Caching" box in the provider settings to activate caching for that model. This checkbox serves as a temporary workaround. For non-Gemini models on OpenRouter, this checkbox is not necessary for caching.

docs/provider-config/requesty.mdx

@@ -1,38 +0,0 @@
----
-title: "Requesty"
-description: "Learn how to use Requesty with Cline to access and optimize over 150 large language models."
----
-
-Cline supports accessing models through the [Requesty](https://www.requesty.ai/) AI platform. Requesty provides an easy and optimized API for interacting with 150+ large language models (LLMs).
-
-**Website:** [https://www.requesty.ai/](https://www.requesty.ai/)
-
-### Getting an API Key
-
-1.  **Sign Up/Sign In:** Go to the [Requesty website](https://www.requesty.ai/) and create an account or sign in.
-2.  **Get API Key:** You can get an API key from the [API Management](https://app.requesty.ai/manage-api) section of your Requesty dashboard.
-
-### Supported Models
-
-Requesty provides access to a wide range of models. Cline will automatically fetch the latest list of available models. You can see the full list of available models on the [Model List](https://app.requesty.ai/router/list) page.
-
-### Configuration in Cline
-
-1.  **Open Cline Settings:** Click the settings icon (⚙️) in the Cline panel.
-2.  **Select Provider:** Choose "Requesty" from the "API Provider" dropdown.
-3.  **Enter API Key:** Paste your Requesty API key into the "Requesty API Key" field.
-4.  **Select Model:** Choose your desired model from the "Model" dropdown.
-
-### Tips and Notes
-
--   **Optimizations**: Requesty offers a range of in-flight cost optimizations to lower your costs.
--   **Unified and simplified billing**: Unrestricted access to all providers and models, automatic balance top ups and more via a single [API key](https://app.requesty.ai/manage-api).
--   **Cost tracking**: Track cost per model, coding language, changed file, and more via the [Cost dashboard](https://app.requesty.ai/cost-management) or the [Requesty VS Code extension](https://marketplace.visualstudio.com/items?itemName=Requesty.requesty).
--   **Stats and logs**: See your [coding stats dashboard](https://app.requesty.ai/usage-stats) or go through your [LLM interaction logs](https://app.requesty.ai/logs).
--   **Fallback policies**: Keep your LLM working for you with fallback policies when providers are down.
--   **Prompt Caching:** Some providers support prompt caching. [Search models with caching](https://app.requesty.ai/router/list).
-
-### Relevant resources
-
--   [Requesty Youtube channel](https://www.youtube.com/@requestyAI)
--   [Requesty Discord](https://requesty.ai/discord)

docs/provider-config/vscode-language-model-api.mdx

@@ -1,51 +0,0 @@
----
-title: "VS Code Language Model API"
-description: "Learn how to use Cline with the experimental VS Code Language Model API, enabling access to models from GitHub Copilot and other compatible extensions."
----
-
-Cline offers _experimental_ support for the [VS Code Language Model API](https://code.visualstudio.com/api/extension-guides/language-model). This API enables extensions to grant access to language models directly within the VS Code environment. Consequently, you might be able to leverage models from:
-
--   **GitHub Copilot:** Provided you have an active Copilot subscription and the extension installed.
--   **Other VS Code Extensions:** Any extension that implements the Language Model API.
-
-**Important Note:** This integration is currently in an experimental phase and might not perform as anticipated. Its functionality relies on other extensions correctly implementing the VS Code Language Model API.
-
-### Prerequisites
-
--   **VS Code:** The Language Model API is accessible via VS Code (it is not currently supported by Cursor).
--   **A Language Model Provider Extension:** An extension that furnishes a language model is required. Examples include:
-    -   **GitHub Copilot:** With a Copilot subscription, the GitHub Copilot and GitHub Copilot Chat extensions can serve as model providers.
-    -   **Alternative Extensions:** Explore the VS Code Marketplace for extensions mentioning "Language Model API" or "lm". Other experimental options may be available
-
-### Configuration Steps
-
-1. **Ensure Copilot Account is Active and Extensions are installed:** User logged into either the Copilot or Copilot Chat extension should be able to gain access via Cline.
-2. **Access Cline Settings:** Click the gear icon (⚙️) located in the Cline panel.
-3. **Choose Provider:** Select "VS Code LM API" from the "API Provider" dropdown menu.
-4. **Select Model:** If the Copilot extension(s) are installed and the user is logged into their Copilot account, the "Language Model" dropdown will populate with available models after a short time. The naming convention is `vendor/family`. For instance, if Copilot is active, you might encounter options such as:
-    - `copilot - gpt-3.5-turbo`
-    - `copilot - gpt-4o-mini`
-    - `copilot - gpt-4`
-    - `copilot - gpt-4-turbo`
-    - `copilot - gpt-4o`
-    - `copilot - claude-3.5-sonnet` **NOTE:** this model does not work.
-    - `copilot - gemini-2.0-flash`
-    - `copilot - gpt-4.1`
-
-For best results with the VSCode LM API Provider, we suggest using the OpenAI Models (GPT 3, 4, 4.1, 4o etc.)
-
-### Current Limitations
-
--   **Experimental API Status:** The VS Code Language Model API is still under active development. Anticipate potential changes and instability.
--   **Dependency on Extensions:** This feature is entirely contingent on other extensions making models available. Cline does not directly control the list of accessible models.
--   **Restricted Functionality:** The VS Code Language Model API might not encompass all features available through other API providers (e.g., image input capabilities, streaming responses, detailed usage metrics).
--   **No Direct Cost Management:** Users are subject to the pricing structures and terms of service of the extension providing the model. Cline cannot directly monitor or regulate associated costs.
--   **GitHub Copilot Rate Throttling:** When employing the VS Code LM API with GitHub Copilot, be mindful that GitHub may enforce rate limits on Copilot usage. These limitations are governed by GitHub, not Cline.
-
-### Troubleshooting Tips
-
--   **Models Not Appearing:**
-    -   Confirm that VS Code is installed.
-    -   Verify that a language model provider extension (e.g., GitHub Copilot, GitHub Copilot Chat) is installed and enabled.
-    -   If utilizing Copilot, ensure you have previously sent a Copilot Chat message using the desired model.
--   **Unexpected Operation:** Should you encounter unforeseen behavior, it is likely an issue stemming from the underlying Language Model API or the provider extension. Consider reporting the problem to the developers of the provider extension.

docs/provider-config/xai-grok.mdx

@@ -1,85 +0,0 @@
----
-title: "xAI (Grok)"
-description: "Learn how to configure and use xAI's Grok models with Cline, including API key setup, supported models, and reasoning capabilities."
----
-
-xAI is the company behind Grok, a large language model known for its conversational abilities and large context window. Grok models are designed to provide helpful, informative, and contextually relevant responses.
-
-**Website:** [https://x.ai/](https://x.ai/)
-
-### Getting an API Key
-
-1.  **Sign Up/Sign In:** Go to the [xAI Console](https://console.x.ai/). Create an account or sign in.
-2.  **Navigate to API Keys:** Go to the API keys section in your dashboard.
-3.  **Create a Key:** Click to create a new API key. Give your key a descriptive name (e.g., "Cline").
-4.  **Copy the Key:** **Important:** Copy the API key _immediately_. You will not be able to see it again. Store it securely.
-
-### Supported Models
-
-Cline supports the following xAI Grok models:
-
-#### Grok-3 Models
-
--   `grok-3-beta` (Default) - xAI's Grok-3 beta model with 131K context window
--   `grok-3-fast-beta` - xAI's Grok-3 fast beta model with 131K context window
--   `grok-3-mini-beta` - xAI's Grok-3 mini beta model with 131K context window
--   `grok-3-mini-fast-beta` - xAI's Grok-3 mini fast beta model with 131K context window
-
-#### Grok-2 Models
-
--   `grok-2-latest` - xAI's Grok-2 model - latest version with 131K context window
--   `grok-2` - xAI's Grok-2 model with 131K context window
--   `grok-2-1212` - xAI's Grok-2 model (version 1212) with 131K context window
-
-#### Grok Vision Models
-
--   `grok-2-vision-latest` - xAI's Grok-2 Vision model - latest version with image support and 32K context window
--   `grok-2-vision` - xAI's Grok-2 Vision model with image support and 32K context window
--   `grok-2-vision-1212` - xAI's Grok-2 Vision model (version 1212) with image support and 32K context window
--   `grok-vision-beta` - xAI's Grok Vision Beta model with image support and 8K context window
-
-#### Legacy Models
-
--   `grok-beta` - xAI's Grok Beta model (legacy) with 131K context window
-
-### Configuration in Cline
-
-1.  **Open Cline Settings:** Click the settings icon (⚙️) in the Cline panel.
-2.  **Select Provider:** Choose "xAI" from the "API Provider" dropdown.
-3.  **Enter API Key:** Paste your xAI API key into the "xAI API Key" field.
-4.  **Select Model:** Choose your desired Grok model from the "Model" dropdown.
-
-### Reasoning Capabilities
-
-Grok 3 Mini models feature specialized reasoning capabilities, allowing them to "think before responding" - particularly useful for complex problem-solving tasks.
-
-#### Reasoning-Enabled Models
-
-Reasoning is only supported by:
-
--   `grok-3-mini-beta`
--   `grok-3-mini-fast-beta`
-
-The Grok 3 models `grok-3-beta` and `grok-3-fast-beta` do not support reasoning.
-
-#### Controlling Reasoning Effort
-
-When using reasoning-enabled models, you can control how hard the model thinks with the `reasoning_effort` parameter:
-
--   `low`: Minimal thinking time, using fewer tokens for quick responses
--   `high`: Maximum thinking time, leveraging more tokens for complex problems
-
-Choose `low` for simple queries that should complete quickly, and `high` for harder problems where response latency is less important.
-
-#### Key Features
-
--   **Step-by-Step Problem Solving**: The model thinks through problems methodically before delivering an answer
--   **Math & Quantitative Strength**: Excels at numerical challenges and logic puzzles
--   **Reasoning Trace Access**: The model's thinking process is available via the `reasoning_content` field in the response completion object
-
-### Tips and Notes
-
--   **Context Window:** Most Grok models feature large context windows (up to 131K tokens), allowing you to include substantial amounts of code and context in your prompts.
--   **Vision Capabilities:** Select vision-enabled models (`grok-2-vision-latest`, `grok-2-vision`, etc.) when you need to process or analyze images.
--   **Pricing:** Pricing varies by model, with input costs ranging from $0.3 to $5.0 per million tokens and output costs from $0.5 to $25.0 per million tokens. Refer to the xAI documentation for the most current pricing information.
--   **Performance Tradeoffs:** "Fast" variants typically offer quicker response times but may have higher costs, while "mini" variants are more economical but may have reduced capabilities.

eslint-rules/__tests__/no-grpc-client-object-literals.test.ts

@@ -1,174 +0,0 @@
-const { RuleTester: GrpcRuleTester } = require("eslint")
-const grpcRule = require("../no-grpc-client-object-literals")
-
-const grpcRuleTester = new GrpcRuleTester({
-	parser: require.resolve("@typescript-eslint/parser"),
-	parserOptions: {
-		ecmaVersion: 2020,
-		sourceType: "module",
-		ecmaFeatures: {
-			jsx: true,
-		},
-	},
-})
-
-grpcRuleTester.run("no-grpc-client-object-literals", grpcRule, {
-	valid: [
-		// Valid case: Using .create() method with gRPC client
-		{
-			code: `
-                import { TogglePlanActModeRequest } from '@shared/proto/state';
-                import { StateServiceClient } from '../services/grpc-client';
-                
-                StateServiceClient.togglePlanActMode(
-                    TogglePlanActModeRequest.create({
-                        chatSettings: {
-                            mode: PlanActMode.PLAN,
-                            preferredLanguage: 'en',
-                        },
-                    })
-                );
-            `,
-		},
-		// Valid case: Using .fromPartial() method with gRPC client
-		{
-			code: `
-                import { TogglePlanActModeRequest, ChatSettings } from '@shared/proto/state';
-                import { StateServiceClient } from '../services/grpc-client';
-                
-                const chatSettings = ChatSettings.fromPartial({
-                    mode: PlanActMode.PLAN,
-                    preferredLanguage: 'en',
-                });
-                
-                StateServiceClient.togglePlanActMode(
-                    TogglePlanActModeRequest.create({
-                        chatSettings: chatSettings,
-                    })
-                );
-            `,
-		},
-		// Valid case: Regular function call with object literal (not a gRPC client)
-		{
-			code: `
-                function processData(data) {
-                    console.log(data);
-                }
-                
-                processData({
-                    id: 123,
-                    name: 'test',
-                });
-            `,
-		},
-		// Valid case: Using proper nested protobuf objects
-		{
-			code: `
-                import { TogglePlanActModeRequest, ChatSettings } from '@shared/proto/state';
-                import { StateServiceClient } from '../services/grpc-client';
-                
-                // Using proper nested protobuf objects
-                const chatSettings = ChatSettings.create({
-                    mode: 0,
-                    preferredLanguage: 'en',
-                });
-                
-                const request = TogglePlanActModeRequest.create({
-                    chatSettings: chatSettings,
-                });
-                
-                StateServiceClient.togglePlanActMode(request);
-            `,
-		},
-		// Valid case: Object literal in second parameter (should not be checked)
-		{
-			code: `
-                import { StateSubscribeRequest } from '@shared/proto/state';
-                import { StateServiceClient } from '../services/grpc-client';
-                
-                const request = StateSubscribeRequest.create({
-                    topics: ['apiConfig', 'tasks']
-                });
-                
-                // Second parameter is an object literal but should not trigger the rule
-                StateServiceClient.subscribe(request, {
-                    metadata: {
-                        userId: 123,
-                        sessionId: "abc-123"
-                    }
-                });
-            `,
-		},
-	],
-	invalid: [
-		// Invalid case: Using object literal directly with gRPC client
-		{
-			code: `
-                import { StateServiceClient } from '../services/grpc-client';
-                
-                StateServiceClient.togglePlanActMode({
-                    chatSettings: {
-                        mode: 0,
-                        preferredLanguage: 'en',
-                    },
-                });
-            `,
-			errors: [{ messageId: "useProtobufMethod" }],
-		},
-		// Invalid case: Using object literal with nested properties
-		{
-			code: `
-                import { ChatSettings } from '@shared/proto/state';
-                import { StateServiceClient } from '../services/grpc-client';
-                
-                const chatSettings = ChatSettings.create({
-                    mode: 0,
-                    preferredLanguage: 'en',
-                });
-                
-                StateServiceClient.togglePlanActMode({
-                    chatSettings: {
-                        mode: 1,
-                        preferredLanguage: 'fr',
-                    },
-                });
-            `,
-			errors: [{ messageId: "useProtobufMethod" }],
-		},
-		// Invalid case: Nested object literal in protobuf create method
-		{
-			code: `
-                import { TogglePlanActModeRequest, ChatSettings } from '@shared/proto/state';
-                import { StateServiceClient } from '../services/grpc-client';
-                
-                // Using nested object literal instead of ChatSettings.create()
-                const request = TogglePlanActModeRequest.create({
-                    chatSettings: {
-                        mode: 0,
-                        preferredLanguage: 'en',
-                    },
-                });
-                
-                StateServiceClient.togglePlanActMode(request);
-            `,
-			errors: [{ messageId: "useProtobufMethod" }],
-		},
-		// Invalid case: Object literal as first parameter to subscribe method
-		{
-			code: `
-                import { StateServiceClient } from '../services/grpc-client';
-                
-                // First parameter is an object literal, which should trigger the rule
-                StateServiceClient.subscribe({
-                    topics: ['apiConfig', 'tasks']
-                }, {
-                    metadata: {
-                        userId: 123,
-                        sessionId: "abc-123"
-                    }
-                });
-            `,
-			errors: [{ messageId: "useProtobufMethod" }],
-		},
-	],
-})

eslint-rules/__tests__/no-protobuf-object-literals.test.ts

@@ -1,214 +0,0 @@
-const { RuleTester } = require("eslint")
-const rule = require("../no-protobuf-object-literals")
-
-const ruleTester = new RuleTester({
-	parser: require.resolve("@typescript-eslint/parser"),
-	parserOptions: {
-		ecmaVersion: 2020,
-		sourceType: "module",
-		ecmaFeatures: {
-			jsx: true,
-		},
-	},
-})
-
-ruleTester.run("no-protobuf-object-literals", rule, {
-	valid: [
-		// Valid case: Using .create() method
-		{
-			code: `
-        import { State } from '@shared/proto/state';
-        
-        const state = State.create({
-          stateJson: '{"apiConfig":{"provider":"anthropic","model":"claude-3-haiku"}}'
-        });
-      `,
-		},
-		// Valid case: Using .fromPartial() method
-		{
-			code: `
-        import { ChatSettings } from '@shared/proto/state';
-        
-        const settings = ChatSettings.fromPartial({
-          mode: 0,
-          preferredLanguage: 'en',
-          openAiReasoningEffort: 'thorough'
-        });
-      `,
-		},
-		// Valid case: Object literal not used with protobuf type
-		{
-			code: `
-        interface MyInterface {
-          id: number;
-          name: string;
-        }
-        
-        const obj: MyInterface = {
-          id: 123,
-          name: 'test'
-        };
-      `,
-		},
-		// Valid case: Using object literal for non-protobuf import
-		{
-			code: `
-        import { SomeType } from '@some/other/package';
-
-        const obj: SomeType = {
-          id: 123,
-          name: 'test'
-        };
-      `,
-		},
-		// Valid case: Regular function call with object literal (should not be flagged)
-		{
-			code: `
-        import { State } from '@shared/proto/state';
-
-        // This should not be flagged because it's a regular function call
-        // not directly tied to a protobuf type
-        process({
-          id: 123,
-          name: 'test',
-          data: { nested: true }
-        });
-      `,
-		},
-	],
-	invalid: [
-		// Invalid case: Using object literal with imported protobuf type
-		{
-			code: `
-        import { State } from '@shared/proto/state';
-
-        const state: State = {
-          stateJson: '{"apiConfig":{"provider":"anthropic","model":"claude-3-haiku"}}'
-        };
-      `,
-			output: `
-        import { State } from '@shared/proto/state';
-
-        const state: State = State.create({
-          stateJson: '{"apiConfig":{"provider":"anthropic","model":"claude-3-haiku"}}'
-        });
-      `,
-			errors: [{ messageId: "useProtobufMethod" }],
-		},
-		// Invalid case: Using object literal with namespaced protobuf type
-		{
-			code: `
-        import * as stateProto from '@shared/proto/state';
-
-        const state: stateProto.State = {
-          stateJson: '{"apiConfig":{"provider":"anthropic","model":"claude-3-haiku"}}'
-        };
-      `,
-			output: `
-        import * as stateProto from '@shared/proto/state';
-
-        const state: stateProto.State = stateProto.State.create({
-          stateJson: '{"apiConfig":{"provider":"anthropic","model":"claude-3-haiku"}}'
-        });
-      `,
-			errors: [{ messageId: "useProtobufMethodGeneric" }],
-		},
-		// Invalid case: Using object literal in a return statement (with protobuf return type)
-		{
-			code: `
-        import { ChatSettings } from '@shared/proto/state';
-
-        function createSettings(): ChatSettings {
-          return {
-            mode: 0,
-            preferredLanguage: 'en',
-            openAiReasoningEffort: 'thorough'
-          };
-        }
-      `,
-			output: `
-        import { ChatSettings } from '@shared/proto/state';
-
-        function createSettings(): ChatSettings {
-          return ChatSettings.create({
-            mode: 0,
-            preferredLanguage: 'en',
-            openAiReasoningEffort: 'thorough'
-          });
-        }
-      `,
-			errors: [{ messageId: "useProtobufMethod" }],
-		},
-		// Invalid case: Using object literal in a function parameter (with protobuf types imported)
-		{
-			code: `
-        import { ChatContent } from '@shared/proto/state';
-
-        function processContent(content: ChatContent) {
-          // process the content
-        }
-
-        processContent({
-          message: 'Hello, this is a test message',
-          images: ['image1.png', 'image2.jpg'],
-          files: ['file1.txt', 'file2.pdf']
-        });
-      `,
-			output: `
-        import { ChatContent } from '@shared/proto/state';
-
-        function processContent(content: ChatContent) {
-          // process the content
-        }
-
-        processContent(ChatContent.create({
-          message: 'Hello, this is a test message',
-          images: ['image1.png', 'image2.jpg'],
-          files: ['file1.txt', 'file2.pdf']
-        }));
-      `,
-			errors: [{ messageId: "useProtobufMethodGeneric" }],
-		},
-		// Invalid case: Using object literal in assignment expression
-		{
-			code: `
-        import { State } from '@shared/proto/state';
-
-        let state: State;
-        state = {
-          stateJson: '{"apiConfig":{"provider":"anthropic","model":"claude-3-haiku"}}'
-        };
-      `,
-			output: `
-        import { State } from '@shared/proto/state';
-
-        let state: State;
-        state = State.create({
-          stateJson: '{"apiConfig":{"provider":"anthropic","model":"claude-3-haiku"}}'
-        });
-      `,
-			errors: [{ messageId: "useProtobufMethod" }],
-		},
-		// Test with custom protobufPackages option
-		{
-			code: `
-        import { CustomProto } from 'custom/proto/package';
-
-        const obj: CustomProto = {
-          field1: 'value',
-          field2: 123
-        };
-      `,
-			output: `
-        import { CustomProto } from 'custom/proto/package';
-
-        const obj: CustomProto = CustomProto.create({
-          field1: 'value',
-          field2: 123
-        });
-      `,
-			options: [{ protobufPackages: ["custom/proto"] }],
-			errors: [{ messageId: "useProtobufMethod" }],
-		},
-	],
-})

eslint-rules/index.js

@@ -1,19 +0,0 @@
-// eslint-rules/index.js
-const noProtobufObjectLiterals = require("./no-protobuf-object-literals")
-const noGrpcClientObjectLiterals = require("./no-grpc-client-object-literals")
-
-module.exports = {
-	rules: {
-		"no-protobuf-object-literals": noProtobufObjectLiterals,
-		"no-grpc-client-object-literals": noGrpcClientObjectLiterals,
-	},
-	configs: {
-		recommended: {
-			plugins: ["local"],
-			rules: {
-				"local/no-protobuf-object-literals": "error",
-				"local/no-grpc-client-object-literals": "error",
-			},
-		},
-	},
-}

eslint-rules/no-grpc-client-object-literals.js

@@ -1,216 +0,0 @@
-const { ESLintUtils } = require("@typescript-eslint/utils")
-
-const createRule = ESLintUtils.RuleCreator((name) => `https://cline.bot/eslint-rules/${name}`)
-
-module.exports = createRule({
-	name: "no-grpc-client-object-literals",
-	meta: {
-		type: "problem",
-		docs: {
-			description:
-				"Enforce using .create() or .fromPartial() for gRPC service client parameters instead of object literals",
-			recommended: "error",
-		},
-		messages: {
-			useProtobufMethod:
-				"Use the appropriate protobuf .create() or .fromPartial() method instead of " +
-				"object literal for gRPC client parameters.\n" +
-				"Found: {{code}}\n" +
-				"gRPC client methods should always receive properly created protobuf objects.",
-		},
-		schema: [],
-	},
-	defaultOptions: [],
-
-	create(context) {
-		// Check if a name matches the gRPC service client pattern using regex
-		// Must start with an uppercase letter and end with ServiceClient
-		const isGrpcServiceClient = (name) => {
-			return typeof name === "string" && /^[A-Z].*ServiceClient$/.test(name)
-		}
-
-		const safeObjectExpressions = new Map() // Track object expressions in create/fromPartial calls
-
-		return {
-			// Skip object literals inside create() or fromPartial() method calls
-			CallExpression(node) {
-				if (
-					node.callee &&
-					node.callee.type === "MemberExpression" &&
-					(node.callee.property.name === "create" || node.callee.property.name === "fromPartial") &&
-					node.arguments.length > 0 &&
-					node.arguments[0].type === "ObjectExpression"
-				) {
-					// Track this object expression as being used with create/fromPartial
-					safeObjectExpressions.set(node.arguments[0], { isProblematic: false })
-				}
-			},
-
-			// Track create/fromPartial calls that contain nested object literals
-			"CallExpression[callee.type='MemberExpression'][callee.property.name=/^(create|fromPartial)$/]"(node) {
-				if (node.arguments.length > 0 && node.arguments[0].type === "ObjectExpression") {
-					// Track problematic nested object literals
-					const nestedObjectLiterals = new Map() // Map of object expressions to their containing property paths
-
-					// Search for nested object literals
-					const queue = [
-						...node.arguments[0].properties.map((prop) => ({
-							property: prop,
-							path: prop.key && prop.key.name ? prop.key.name : "unknown",
-						})),
-					]
-
-					while (queue.length > 0) {
-						const { property, path } = queue.shift()
-
-						// Skip spread elements
-						if (property.type !== "Property") continue
-
-						// If this is an object literal, mark it as problematic
-						if (property.value.type === "ObjectExpression") {
-							nestedObjectLiterals.set(property.value, path)
-
-							// Add nested properties to queue
-							queue.push(
-								...property.value.properties.map((prop) => ({
-									property: prop,
-									path: `${path}.${prop.key && prop.key.name ? prop.key.name : "unknown"}`,
-								})),
-							)
-						}
-					}
-
-					// For each problematic nested object, track it with its path
-					nestedObjectLiterals.forEach((path, objectExpr) => {
-						safeObjectExpressions.set(objectExpr, {
-							isProblematic: true,
-							path: path,
-							parentNode: node,
-						})
-					})
-				}
-			},
-
-			// Check calls to gRPC service clients
-			"CallExpression[callee.type='MemberExpression']"(node) {
-				// Get the object (left side) of the member expression
-				const callee = node.callee
-				if (callee.object && callee.object.type === "Identifier") {
-					const objectName = callee.object.name
-
-					// Check if this is a call to one of our gRPC service clients
-					if (isGrpcServiceClient(objectName)) {
-						// Only check the first argument of gRPC service client calls
-						if (node.arguments.length > 0) {
-							const arg = node.arguments[0] // Only check the first parameter
-							if (arg.type === "ObjectExpression" && !safeObjectExpressions.has(arg)) {
-								// This is an object literal being passed directly to a gRPC client
-								const sourceCode = context.getSourceCode()
-								const callText = sourceCode.getText(node).trim()
-
-								context.report({
-									node: arg,
-									messageId: "useProtobufMethod",
-									data: {
-										code: callText,
-									},
-								})
-							} else if (arg.type === "ObjectExpression") {
-								// Search for nested object literals that aren't protected
-								const queue = [...arg.properties]
-								while (queue.length > 0) {
-									const property = queue.shift()
-
-									// Skip spread elements
-									if (property.type !== "Property") continue
-
-									// Check value
-									if (
-										property.value.type === "ObjectExpression" &&
-										!safeObjectExpressions.has(property.value)
-									) {
-										// Found a nested object literal
-										const sourceCode = context.getSourceCode()
-										const propertyText = sourceCode.getText(property).trim()
-
-										context.report({
-											node: property.value,
-											messageId: "useProtobufMethod",
-											data: {
-												code: `${objectName}.${callee.property.name}(... ${propertyText} ...)`,
-											},
-										})
-									}
-
-									// Add any nested properties to the queue
-									if (property.value.type === "ObjectExpression") {
-										queue.push(...property.value.properties)
-									}
-								}
-							} else if (arg.type === "Identifier") {
-								// This is a variable - check if it references a problematic protobuf object
-								const varName = arg.name
-								const sourceCode = context.getSourceCode()
-								const scope = sourceCode.getScope(node)
-
-								// Find the variable declaration
-								const variable = scope.variables.find((v) => v.name === varName)
-								if (variable && variable.references && variable.references.length > 0) {
-									// Look for definitions
-									const def = variable.defs.find(
-										(d) => d.node && d.node.type === "VariableDeclarator" && d.node.init,
-									)
-
-									if (
-										def &&
-										def.node.init.type === "CallExpression" &&
-										def.node.init.callee.type === "MemberExpression" &&
-										(def.node.init.callee.property.name === "create" ||
-											def.node.init.callee.property.name === "fromPartial")
-									) {
-										// Flag if we find problematic nested object literals in this create/fromPartial call
-										const callText = sourceCode.getText(node).trim()
-										const initCallText = sourceCode.getText(def.node.init).trim()
-
-										// Check for nested object literals in init node
-										let foundNestedLiteral = false
-										if (
-											def.node.init.arguments.length > 0 &&
-											def.node.init.arguments[0].type === "ObjectExpression"
-										) {
-											// Find any nested object literals
-											const queue = [...def.node.init.arguments[0].properties]
-											while (queue.length > 0 && !foundNestedLiteral) {
-												const property = queue.shift()
-
-												// Skip spread elements
-												if (property.type !== "Property") continue
-
-												if (property.value.type === "ObjectExpression") {
-													foundNestedLiteral = true
-
-													context.report({
-														node,
-														messageId: "useProtobufMethod",
-														data: {
-															code: `${callText} - using request created with nested object literal at: ${property.key.name}`,
-														},
-													})
-												}
-
-												// Add any nested properties to the queue
-												if (property.value.type === "ObjectExpression") {
-													queue.push(...property.value.properties)
-												}
-											}
-										}
-									}
-								}
-							}
-						}
-					}
-				}
-			},
-		}
-	},
-})

eslint-rules/no-protobuf-object-literals.js

@@ -1,556 +0,0 @@
-const { ESLintUtils } = require("@typescript-eslint/utils")
-
-const createRule = ESLintUtils.RuleCreator((name) => `https://cline.bot/eslint-rules/${name}`)
-
-module.exports = createRule({
-	name: "no-protobuf-object-literals",
-	meta: {
-		type: "problem",
-		docs: {
-			description: "Enforce using .create() or .fromPartial() for protobuf objects instead of object literals",
-			recommended: "error",
-		},
-		fixable: "code",
-		messages: {
-			useProtobufMethod:
-				"Use {{typeName}}.create() or {{typeName}}.fromPartial() instead of " +
-				"object literal for protobuf type from @shared/proto\n" +
-				"Found: {{code}}\n  Suggestion: " +
-				"{{typeName}}.create({{objectContent}})",
-			useProtobufMethodGeneric:
-				"Use .create() or .fromPartial() instead of object literal for protobuf " +
-				"type from @shared/proto\n  Found: {{code}}",
-		},
-		schema: [
-			{
-				type: "object",
-				properties: {
-					protobufPackages: {
-						type: "array",
-						items: { type: "string" },
-						default: ["shared/proto/"],
-					},
-				},
-				additionalProperties: false,
-			},
-		],
-	},
-	defaultOptions: [{ protobufPackages: ["shared/proto/"] }],
-
-	create(context, [options]) {
-		const protobufPackages = options.protobufPackages
-		const protobufImports = new Set() // Set of imported protobuf types
-		const protobufNamespaceImports = new Set() // For namespace imports like "import * as proto"
-		const safeObjectExpressions = new Set() // Track object expressions in create/fromPartial calls
-
-		return {
-			// Skip object literals inside create() or fromPartial() method calls
-			CallExpression(node) {
-				if (
-					node.callee &&
-					node.callee.type === "MemberExpression" &&
-					(node.callee.property.name === "create" || node.callee.property.name === "fromPartial") &&
-					node.arguments.length > 0 &&
-					node.arguments[0].type === "ObjectExpression"
-				) {
-					// Track this object expression as being used with create/fromPartial
-					safeObjectExpressions.add(node.arguments[0])
-				}
-			},
-
-			// Track imports from protobuf packages
-			ImportDeclaration(node) {
-				const packageName = node.source.value
-
-				if (matchesProtobufPackage(packageName, protobufPackages)) {
-					// This is a protobuf package.
-					node.specifiers.forEach((spec) => {
-						if (spec.type === "ImportSpecifier") {
-							// import { MyRequest } from '@shared/proto'
-							protobufImports.add(spec.imported.name)
-						} else if (spec.type === "ImportNamespaceSpecifier") {
-							// import * as proto from '@shared/proto'
-							protobufNamespaceImports.add(spec.local.name)
-						}
-					})
-				}
-			},
-
-			// Check variable declarations with type annotations
-			"VariableDeclarator > ObjectExpression"(node) {
-				// Skip if this is inside a create/fromPartial call
-				if (safeObjectExpressions.has(node)) {
-					return
-				}
-
-				// Found object literal in variable declaration
-				const declarator = node.parent
-
-				if (declarator.id && declarator.id.typeAnnotation) {
-					const typeName = getTypeName(declarator.id.typeAnnotation.typeAnnotation)
-					if (typeName) {
-						// Check if it's a direct protobuf import
-						if (protobufImports.has(typeName)) {
-							//console.log('🚨 VIOLATION: Using object literal for protobuf type:', typeName);
-							const sourceCode = context.getSourceCode()
-							const declaratorText = sourceCode.getText(declarator)
-							const objectText = sourceCode.getText(node)
-
-							context.report({
-								node,
-								messageId: "useProtobufMethod",
-								data: {
-									typeName,
-									code: declaratorText,
-									objectContent: objectText,
-								},
-								fix(fixer) {
-									// Replace the object literal with Type.create() call
-									return fixer.replaceText(node, `${typeName}.create(${objectText})`)
-								},
-							})
-							return
-						}
-
-						// Check if it's a namespaced protobuf type (e.g., proto.MyRequest)
-						if (isNamespacedProtobufType(protobufNamespaceImports, typeName)) {
-							//console.log('🚨 VIOLATION: Using object literal for namespaced protobuf type:', typeName);
-							const sourceCode = context.getSourceCode()
-							const declaratorText = sourceCode.getText(declarator)
-							context.report({
-								node,
-								messageId: "useProtobufMethodGeneric",
-								data: { code: declaratorText },
-								fix(fixer) {
-									// For namespaced types, use the full type name to call create()
-									return fixer.replaceText(node, `${typeName}.create(${sourceCode.getText(node)})`)
-								},
-							})
-						}
-					}
-				}
-			},
-
-			// Check assignment expressions
-			"AssignmentExpression > ObjectExpression"(node) {
-				// Skip if this is inside a create/fromPartial call
-				if (safeObjectExpressions.has(node)) {
-					return
-				}
-
-				const assignment = node.parent
-
-				// For assignment to variables without inline type annotation
-				if (assignment.left && assignment.right === node) {
-					let typeName = null
-
-					// Check if there's a typeAnnotation directly on the left
-					if (assignment.left.typeAnnotation) {
-						typeName = getTypeName(assignment.left.typeAnnotation.typeAnnotation)
-					}
-					// Otherwise try to infer from the variable name if it's a simple identifier
-					else if (assignment.left.type === "Identifier") {
-						const varName = assignment.left.name
-						// Check variable declarations in the current scope
-						const sourceCode = context.getSourceCode()
-						const scope = sourceCode.getScope(node)
-						const variable = scope.variables.find((v) => v.name === varName)
-						if (variable && variable.defs.length > 0) {
-							const def = variable.defs[0]
-							if (def.node.id && def.node.id.typeAnnotation) {
-								typeName = getTypeName(def.node.id.typeAnnotation.typeAnnotation)
-							}
-						}
-					}
-
-					if (typeName && protobufImports.has(typeName)) {
-						//console.log('🚨 VIOLATION: Using object literal in assignment for protobuf type:', typeName);
-						const sourceCode = context.getSourceCode()
-						const assignmentText = sourceCode.getText(assignment.left) + " = "
-						const objectText = sourceCode.getText(node)
-
-						context.report({
-							node,
-							messageId: "useProtobufMethod",
-							data: {
-								typeName,
-								code: assignmentText + "{",
-								objectContent: objectText,
-							},
-							fix(fixer) {
-								// Replace the object literal with Type.create() call in assignments
-								return fixer.replaceText(node, `${typeName}.create(${objectText})`)
-							},
-						})
-					}
-				}
-			},
-
-			// Check return statements
-			"ReturnStatement > ObjectExpression"(node) {
-				// Skip if this is inside a create/fromPartial call
-				if (safeObjectExpressions.has(node)) {
-					return
-				}
-
-				// Find the parent function to get its return type
-				const functionNode = findParentFunction(node)
-				if (!functionNode) {
-					return
-				}
-
-				// Try to get the return type using our enhanced helper
-				const sourceCode = context.getSourceCode()
-				let returnTypeName = getFunctionReturnType(functionNode, sourceCode)
-
-				// For async functions with Promise<Type> return type, extract the inner type
-				if (returnTypeName && returnTypeName.startsWith("Promise<") && returnTypeName.endsWith(">")) {
-					returnTypeName = returnTypeName.slice(8, -1)
-				}
-
-				// Check if the return type is a protobuf type
-				if (returnTypeName) {
-					if (protobufImports.has(returnTypeName)) {
-						//console.log('🚨 VIOLATION: Return type is a protobuf type:', returnTypeName);
-						const sourceCode = context.getSourceCode()
-						const returnText = sourceCode.getText(node.parent)
-						context.report({
-							node,
-							messageId: "useProtobufMethod",
-							data: {
-								typeName: returnTypeName,
-								code: returnText,
-								objectContent: sourceCode.getText(node),
-							},
-							fix(fixer) {
-								// Replace the object literal with Type.create() call in return statements
-								return fixer.replaceText(node, `${returnTypeName}.create(${sourceCode.getText(node)})`)
-							},
-						})
-						return
-					}
-
-					// Check if it's a namespaced protobuf type
-					if (isNamespacedProtobufType(protobufNamespaceImports, returnTypeName)) {
-						const sourceCode = context.getSourceCode()
-						const returnText = sourceCode.getText(node.parent)
-						//console.log('🚨 VIOLATION: Return type is a namespaced protobuf type:', returnTypeName);
-						context.report({
-							node,
-							messageId: "useProtobufMethodGeneric",
-							data: { code: returnText },
-							fix(fixer) {
-								// For namespaced types in return statements, we need to extract the full type name
-								const objectCode = sourceCode.getText(node)
-								// Since we may not know the exact type, we'll use the more generic namespaced type
-								return fixer.replaceText(node, `${returnTypeName}.create(${objectCode})`)
-							},
-						})
-						return
-					}
-				}
-
-				// Final fallback - if there are any protobuf imports and the function signature
-				// mentions a return type that matches one of the imported types
-				const functionText = functionNode ? sourceCode.getText(functionNode) : ""
-
-				for (const protoType of protobufImports) {
-					// Use more precise regex to match return type patterns specifically
-					// Rather than just checking if the type name appears anywhere in the signature
-					const returnTypeRegex = new RegExp(
-						// Match arrow function return type
-						`=>\\s*:?\\s*${protoType}\\b|` +
-							// Match function declaration return type
-							`\\)\\s*:?\\s*${protoType}\\b|` +
-							// Match Promise return type
-							`\\)\\s*:?\\s*Promise<\\s*${protoType}\\s*>|` +
-							// Match function type in variable declaration
-							`:\\s*\\(.*\\)\\s*=>\\s*${protoType}\\b`,
-					)
-
-					if (returnTypeRegex.test(functionText)) {
-						const returnText = sourceCode.getText(node.parent)
-						//console.log('🚨 VIOLATION: regex matched protobuf type:', functionText);
-						context.report({
-							node,
-							messageId: "useProtobufMethod",
-							data: {
-								typeName: protoType,
-								code: returnText,
-								objectContent: sourceCode.getText(node),
-							},
-							fix(fixer) {
-								// Replace the object literal with Type.create() call
-								return fixer.replaceText(node, `${protoType}.create(${sourceCode.getText(node)})`)
-							},
-						})
-						return
-					}
-				}
-				// Check for namespace imports too
-				for (const namespace of protobufNamespaceImports) {
-					// Similar to above, but for namespaced types
-					const namespaceReturnTypeRegex = new RegExp(
-						// Match arrow function return type
-						`=>\\s*:?\\s*${namespace}\\.\\w+\\b|` +
-							// Match function declaration return type
-							`\\)\\s*:?\\s*${namespace}\\.\\w+\\b|` +
-							// Match Promise return type
-							`\\)\\s*:?\\s*Promise<\\s*${namespace}\\.\\w+\\s*>|` +
-							// Match function type in variable declaration
-							`:\\s*\\(.*\\)\\s*=>\\s*${namespace}\\.\\w+\\b`,
-					)
-
-					if (namespaceReturnTypeRegex.test(functionText)) {
-						const returnText = sourceCode.getText(node.parent)
-						//console.log('🚨 VIOLATION: regex matched namespaced protobuf type:', functionText, "namespace:", namespace);
-						context.report({
-							node,
-							messageId: "useProtobufMethodGeneric",
-							data: { code: returnText },
-							fix(fixer) {
-								// For namespaced types based on function signature patterns
-								// Extract the namespace and type from the function text using more precise patterns
-								const match = functionText.match(
-									new RegExp(
-										// Match return type patterns more precisely
-										`\\)\\s*:?\\s*(${namespace}\\.[\\w]+)\\b|` + // Function declaration
-											`=>\\s*:?\\s*(${namespace}\\.[\\w]+)\\b|` + // Arrow function
-											`Promise<\\s*(${namespace}\\.[\\w]+)\\s*>`, // Promise wrapped
-									),
-								)
-								if (match) {
-									const fullType = match[1] || match[2]
-									return fixer.replaceText(node, `${fullType}.create(${sourceCode.getText(node)})`)
-								}
-								// Fallback - we can't determine the exact type, but we know it's from the namespace
-								// Use a namespace-based approach
-								return fixer.replaceText(node, `${namespace}.create(${sourceCode.getText(node)})`)
-							},
-						})
-						return
-					}
-				}
-			},
-
-			// Check function call arguments (more selective approach)
-			"CallExpression > ObjectExpression"(node) {
-				// Skip if this is inside a create/fromPartial call
-				if (safeObjectExpressions.has(node)) {
-					return
-				}
-
-				// We need to be more selective to avoid false positives
-				// Only warn if:
-				// 1. The function is called on a protobuf namespace
-				// 2. The call argument has a type annotation that matches a protobuf type
-				// 3. The call is to a function that we know takes a protobuf type
-
-				// Check if it's a call on a protobuf namespace
-				if (
-					node.parent.callee &&
-					node.parent.callee.type === "MemberExpression" &&
-					node.parent.callee.object.type === "Identifier"
-				) {
-					const namespace = node.parent.callee.object.name
-					if (protobufNamespaceImports.has(namespace)) {
-						const sourceCode = context.getSourceCode()
-						const callText = sourceCode.getText(node.parent)
-						//console.log('🚨 VIOLATION: Check function call arguments object literal:', callText);
-						context.report({
-							node,
-							messageId: "useProtobufMethodGeneric",
-							data: { code: callText },
-							fix(fixer) {
-								// For calls on a protobuf namespace
-								const memberExpr = node.parent.callee
-								// Try to determine if this is calling a method that expects a specific type
-								const methodName = memberExpr.property.name
-
-								// If method name looks like 'create' + Type, we can infer the type
-								const possibleTypeName = methodName.replace(/^create/, "")
-
-								// Check if namespace has a type with this name
-								// Since we can't directly check at lint time, we'll use the namespace + inferred type
-								if (possibleTypeName && possibleTypeName !== methodName) {
-									return fixer.replaceText(
-										node,
-										`${namespace}.${possibleTypeName}.create(${sourceCode.getText(node)})`,
-									)
-								}
-
-								// Fallback - use a more generic approach with namespace
-								return fixer.replaceText(node, `${namespace}.create(${sourceCode.getText(node)})`)
-							},
-						})
-						return
-					}
-				}
-
-				// For regular function calls with object literals, check if there are protobuf imports
-				// and if the function might expect a protobuf type
-				if (node.parent.callee) {
-					// This is a more permissive check to catch cases like processContent({ ... })
-					// which might be passing a protobuf type
-					const sourceCode = context.getSourceCode()
-					const scope = sourceCode.getScope(node)
-
-					// Try to find the function definition
-					if (node.parent.callee.type === "Identifier") {
-						const functionName = node.parent.callee.name
-						const variable = scope.variables.find((v) => v.name === functionName)
-
-						// If we found the function and it has parameter type annotations
-						// that match protobuf types, flag it
-						if (variable && variable.defs.length > 0) {
-							const def = variable.defs[0]
-							if (def.node.params && node.parent.arguments.indexOf(node) < def.node.params.length) {
-								const param = def.node.params[node.parent.arguments.indexOf(node)]
-								if (param.typeAnnotation) {
-									const typeName = getTypeName(param.typeAnnotation.typeAnnotation)
-									if (
-										typeName &&
-										(protobufImports.has(typeName) ||
-											isNamespacedProtobufType(protobufNamespaceImports, typeName))
-									) {
-										const callText = sourceCode.getText(node.parent)
-										//console.log('🚨 VIOLATION: Function call arguments object literal:', callText);
-										context.report({
-											node,
-											messageId: "useProtobufMethodGeneric",
-											data: { code: callText },
-											fix(fixer) {
-												// For function calls with protobuf type parameters
-												return fixer.replaceText(node, `${typeName}.create(${sourceCode.getText(node)})`)
-											},
-										})
-										return
-									}
-								}
-							}
-						}
-					}
-				}
-			},
-		}
-	},
-})
-
-// Helper functions
-function getTypeName(typeAnnotation) {
-	if (!typeAnnotation) {
-		return null
-	}
-
-	if (typeAnnotation.type === "TSTypeReference") {
-		if (typeAnnotation.typeName.type === "Identifier") {
-			return typeAnnotation.typeName.name
-		} else if (typeAnnotation.typeName.type === "TSQualifiedName") {
-			// Handle namespaced types like proto.MyRequest
-			return `${typeAnnotation.typeName.left.name}.${typeAnnotation.typeName.right.name}`
-		}
-	}
-	return null
-}
-
-function matchesProtobufPackage(packageName, protobufPackages) {
-	return protobufPackages.some((protobufPackage) => {
-		// Remove leading and trailing @ and / from protobufPackage
-		const cleanedPackage = protobufPackage.replace(/^[@\/]/, "").replace(/[\/]$/, "")
-		const pattern = new RegExp(`(.*[@/]|)${escapeRegex(cleanedPackage)}[/].*`)
-		return pattern.test(packageName)
-	})
-}
-
-// Helper function to escape special regex characters
-function escapeRegex(string) {
-	return string.replace(/[.*+?^${}()|[\]\\]/g, "\\$&")
-}
-
-// Helper to extract function return type more reliably
-function getFunctionReturnType(functionNode, sourceCode) {
-	// 1. Check explicit return type annotation
-	if (functionNode.returnType) {
-		return getTypeName(functionNode.returnType.typeAnnotation)
-	}
-
-	// 2. For variable declarations like const foo: (arg: Type) => ReturnType = ...
-	if (functionNode.parent && functionNode.parent.type === "VariableDeclarator") {
-		const declarator = functionNode.parent
-		if (declarator.id && declarator.id.typeAnnotation) {
-			const typeAnnotation = declarator.id.typeAnnotation.typeAnnotation
-
-			// Handle function type annotations
-			if (typeAnnotation.type === "TSFunctionType" && typeAnnotation.typeAnnotation) {
-				return getTypeName(typeAnnotation.typeAnnotation)
-			}
-
-			// Handle type references to function types
-			if (typeAnnotation.type === "TSTypeReference") {
-				// This might be a type like Promise<ReturnType>
-				if (
-					typeAnnotation.typeName.name === "Promise" &&
-					typeAnnotation.typeParameters &&
-					typeAnnotation.typeParameters.params.length > 0
-				) {
-					return getTypeName(typeAnnotation.typeParameters.params[0])
-				}
-			}
-		}
-	}
-
-	// 3. For class methods, check if it's part of an interface implementation
-	if (
-		functionNode.parent &&
-		functionNode.parent.type === "MethodDefinition" &&
-		functionNode.parent.parent &&
-		functionNode.parent.parent.type === "ClassBody"
-	) {
-		const className = getEnclosingClassName(functionNode)
-		const methodName = functionNode.parent.key.name
-
-		if (className && methodName) {
-			// Look for interface declarations in the scope
-			const scope = sourceCode.getScope(functionNode)
-			// This would require more complex scope analysis which is limited in ESLint
-			// For now, we'll return null and rely on other methods
-		}
-	}
-
-	return null
-}
-
-// Helper to get the class name for a method
-function getEnclosingClassName(node) {
-	let current = node.parent
-	while (current) {
-		if (current.type === "ClassDeclaration" && current.id) {
-			return current.id.name
-		}
-		current = current.parent
-	}
-	return null
-}
-function isNamespacedProtobufType(protobufNamespaceImports, typeName) {
-	if (!typeName.includes(".")) {
-		return false
-	}
-
-	const namespace = typeName.split(".")[0]
-	return protobufNamespaceImports.has(namespace)
-}
-
-function findParentFunction(node) {
-	let current = node.parent
-	while (current) {
-		if (
-			current.type === "FunctionDeclaration" ||
-			current.type === "FunctionExpression" ||
-			current.type === "ArrowFunctionExpression"
-		) {
-			return current
-		}
-		current = current.parent
-	}
-	return null
-}

eslint-rules/package.json

@@ -1,31 +0,0 @@
-{
-	"name": "eslint-plugin-eslint-rules",
-	"version": "1.0.0",
-	"description": "Custom ESLint rules for Cline",
-	"main": "index.js",
-	"scripts": {
-		"test": "mocha --no-config --require ts-node/register __tests__/**/*.test.ts"
-	},
-	"keywords": [
-		"eslint",
-		"eslintplugin"
-	],
-	"author": "Cline Bot Inc.",
-	"license": "Apache-2.0",
-	"dependencies": {
-		"@typescript-eslint/utils": "^8.33.0"
-	},
-	"devDependencies": {
-		"@types/eslint": "^8.0.0",
-		"@types/mocha": "^10.0.7",
-		"@types/node": "^20.0.0",
-		"@typescript-eslint/parser": "^7.14.1",
-		"eslint": "^8.57.0",
-		"mocha": "^10.0.0",
-		"ts-node": "^10.9.2",
-		"typescript": "^5.4.5"
-	},
-	"peerDependencies": {
-		"eslint": ">=8.0.0"
-	}
-}

eslint-rules/tsconfig.json

@@ -1,16 +0,0 @@
-{
-	"compilerOptions": {
-		"target": "es2020",
-		"module": "commonjs",
-		"moduleResolution": "node",
-		"esModuleInterop": true,
-		"strict": true,
-		"skipLibCheck": true,
-		"forceConsistentCasingInFileNames": true,
-		"outDir": "dist",
-		"resolveJsonModule": true,
-		"declaration": true
-	},
-	"include": ["**/*.ts", "**/*.js", "**/*.tsx", "__tests__/**/*"],
-	"exclude": ["node_modules", "dist"]
-}

hosts/vscode/host-grpc-handler.ts

@@ -1,197 +0,0 @@
-import { v4 as uuidv4 } from "uuid"
-import { hostServiceHandlers } from "./host-grpc-service-config"
-import { GrpcRequestRegistry } from "../../src/core/controller/grpc-request-registry"
-
-/**
- * Type definition for a streaming response handler
- */
-export type StreamingResponseHandler = (response: any, isLast?: boolean, sequenceNumber?: number) => Promise<void>
-
-// Registry to track active gRPC requests and their cleanup functions
-const requestRegistry = new GrpcRequestRegistry()
-
-/**
- * Callback interface for streaming requests
- */
-export interface StreamingCallbacks<T = any> {
-	onResponse: (response: T) => void
-	onError?: (error: Error) => void
-	onComplete?: () => void
-}
-
-/**
- * Handles gRPC requests from the webview
- */
-export class GrpcHandler {
-	constructor() {}
-
-	/**
-	 * Handle a gRPC request from the webview
-	 * @param service The service name
-	 * @param method The method name
-	 * @param message The request message
-	 * @param requestId The request ID for response correlation
-	 * @param streamingCallbacks Optional callbacks for streaming responses
-	 * @returns For unary requests: the response message or error. For streaming requests: a cancel function.
-	 */
-	async handleRequest<T = any>(
-		service: string,
-		method: string,
-		message: any,
-		requestId: string,
-		streamingCallbacks?: StreamingCallbacks<T>,
-	): Promise<
-		| {
-				message?: any
-				error?: string
-				request_id: string
-		  }
-		| (() => void)
-	> {
-		// If streaming callbacks are provided, handle as a streaming request
-		if (streamingCallbacks) {
-			let completionCalled = false
-
-			// Create a response handler that will call the client's callbacks
-			const responseHandler: StreamingResponseHandler = async (response, isLast = false, sequenceNumber) => {
-				try {
-					// Call the client's onResponse callback with the response
-					streamingCallbacks.onResponse(response)
-
-					// If this is the last response, call the onComplete callback
-					if (isLast && streamingCallbacks.onComplete && !completionCalled) {
-						completionCalled = true
-						streamingCallbacks.onComplete()
-					}
-				} catch (error) {
-					// If there's an error in the callback, call the onError callback
-					if (streamingCallbacks.onError) {
-						streamingCallbacks.onError(error instanceof Error ? error : new Error(String(error)))
-					}
-				}
-			}
-
-			// Register the response handler with the registry
-			requestRegistry.registerRequest(
-				requestId,
-				() => {
-					console.log(`[DEBUG] Cleaning up streaming request: ${requestId}`)
-					if (streamingCallbacks.onComplete && !completionCalled) {
-						completionCalled = true
-						streamingCallbacks.onComplete()
-					}
-				},
-				{ type: "streaming_request", service, method },
-				responseHandler,
-			)
-
-			// Call the streaming handler directly
-			console.log(`[DEBUG] Streaming gRPC host call to ${service}.${method} req:${requestId}`)
-			try {
-				await this.handleStreamingRequest(service, method, message, requestId)
-			} catch (error) {
-				if (streamingCallbacks.onError) {
-					streamingCallbacks.onError(error instanceof Error ? error : new Error(String(error)))
-				}
-			}
-
-			// Return a function to cancel the stream
-			return () => {
-				console.log(`[DEBUG] Cancelling streaming request: ${requestId}`)
-				this.cancelRequest(requestId)
-			}
-		}
-
-		// Handle as a unary request
-		try {
-			// Get the service handler from the config
-			const serviceConfig = hostServiceHandlers[service]
-			if (!serviceConfig) {
-				throw new Error(`Unknown service: ${service}`)
-			}
-
-			// Handle unary request
-			return {
-				message: await serviceConfig.requestHandler(method, message),
-				request_id: requestId,
-			}
-		} catch (error) {
-			return {
-				error: error instanceof Error ? error.message : String(error),
-				request_id: requestId,
-			}
-		}
-	}
-
-	/**
-	 * Cancel a gRPC request
-	 * @param requestId The request ID to cancel
-	 * @returns True if the request was found and cancelled, false otherwise
-	 */
-	public async cancelRequest(requestId: string): Promise<boolean> {
-		const cancelled = requestRegistry.cancelRequest(requestId)
-
-		if (cancelled) {
-			// Get the registered response handler from the registry
-			const requestInfo = requestRegistry.getRequestInfo(requestId)
-			if (requestInfo && requestInfo.responseStream) {
-				try {
-					// Send cancellation confirmation using the registered response handler
-					await requestInfo.responseStream(
-						{ cancelled: true },
-						true, // Mark as last message
-					)
-				} catch (e) {
-					console.error(`Error sending cancellation response for ${requestId}:`, e)
-				}
-			}
-		} else {
-			console.log(`[DEBUG] Request not found for cancellation: ${requestId}`)
-		}
-
-		return cancelled
-	}
-
-	/**
-	 * Handle a streaming gRPC request
-	 * @param service The service name
-	 * @param method The method name
-	 * @param message The request message
-	 * @param requestId The request ID for response correlation
-	 */
-	private async handleStreamingRequest(service: string, method: string, message: any, requestId: string): Promise<void> {
-		// Get the service handler from the config
-		const serviceConfig = hostServiceHandlers[service]
-		if (!serviceConfig) {
-			throw new Error(`Unknown service: ${service}`)
-		}
-
-		// Check if the service supports streaming
-		if (!serviceConfig.streamingHandler) {
-			throw new Error(`Service ${service} does not support streaming`)
-		}
-
-		// Get the registered response handler from the registry
-		const requestInfo = requestRegistry.getRequestInfo(requestId)
-		if (!requestInfo || !requestInfo.responseStream) {
-			throw new Error(`No response handler registered for request: ${requestId}`)
-		}
-
-		// Use the registered response handler
-		const responseStream = requestInfo.responseStream
-
-		// Handle streaming request and pass the requestId to all streaming handlers
-		await serviceConfig.streamingHandler(method, message, responseStream, requestId)
-
-		// Don't send a final message here - the stream should stay open for future updates
-		// The stream will be closed when the client disconnects or when the service explicitly ends it
-	}
-}
-
-/**
- * Get the request registry instance
- * This allows other parts of the code to access the registry
- */
-export function getRequestRegistry(): GrpcRequestRegistry {
-	return requestRegistry
-}

hosts/vscode/host-grpc-service.ts

@@ -1,138 +0,0 @@
-import { StreamingResponseHandler } from "./host-grpc-handler"
-
-/**
- * Generic type for service method handlers
- */
-export type ServiceMethodHandler = (message: any) => Promise<any>
-
-/**
- * Type for streaming method handlers
- */
-export type StreamingMethodHandler = (message: any, responseStream: StreamingResponseHandler, requestId?: string) => Promise<void>
-
-/**
- * Method metadata including streaming information
- */
-export interface MethodMetadata {
-	isStreaming: boolean
-}
-
-/**
- * Generic service registry for gRPC services
- */
-export class ServiceRegistry {
-	private serviceName: string
-	private methodRegistry: Record<string, ServiceMethodHandler> = {}
-	private streamingMethodRegistry: Record<string, StreamingMethodHandler> = {}
-	private methodMetadata: Record<string, MethodMetadata> = {}
-
-	/**
-	 * Create a new service registry
-	 * @param serviceName The name of the service (used for logging)
-	 */
-	constructor(serviceName: string) {
-		this.serviceName = serviceName
-	}
-
-	/**
-	 * Register a method handler
-	 * @param methodName The name of the method to register
-	 * @param handler The handler function for the method
-	 * @param metadata Optional metadata about the method
-	 */
-	registerMethod(methodName: string, handler: ServiceMethodHandler | StreamingMethodHandler, metadata?: MethodMetadata): void {
-		const isStreaming = metadata?.isStreaming || false
-
-		if (isStreaming) {
-			this.streamingMethodRegistry[methodName] = handler as StreamingMethodHandler
-		} else {
-			this.methodRegistry[methodName] = handler as ServiceMethodHandler
-		}
-
-		this.methodMetadata[methodName] = { isStreaming, ...metadata }
-		console.log(`Registered ${this.serviceName} method: ${methodName}${isStreaming ? " (streaming)" : ""}`)
-	}
-
-	/**
-	 * Check if a method is a streaming method
-	 * @param method The method name
-	 * @returns True if the method is a streaming method
-	 */
-	isStreamingMethod(method: string): boolean {
-		return this.methodMetadata[method]?.isStreaming || false
-	}
-
-	/**
-	 * Get a streaming method handler
-	 * @param method The method name
-	 * @returns The streaming method handler or undefined if not found
-	 */
-	getStreamingHandler(method: string): StreamingMethodHandler | undefined {
-		return this.streamingMethodRegistry[method]
-	}
-
-	/**
-	 * Handle a service request
-	 * @param method The method name
-	 * @param message The request message
-	 * @returns The response message
-	 */
-	async handleRequest(method: string, message: any): Promise<any> {
-		const handler = this.methodRegistry[method]
-
-		if (!handler) {
-			if (this.isStreamingMethod(method)) {
-				throw new Error(`Method ${method} is a streaming method and should be handled with handleStreamingRequest`)
-			}
-			throw new Error(`Unknown ${this.serviceName} method: ${method}`)
-		}
-
-		return handler(message)
-	}
-
-	/**
-	 * Handle a streaming service request
-	 * @param method The method name
-	 * @param message The request message
-	 * @param responseStream The streaming response handler
-	 * @param requestId The request ID for correlation and cleanup
-	 */
-	async handleStreamingRequest(
-		method: string,
-		message: any,
-		responseStream: StreamingResponseHandler,
-		requestId?: string,
-	): Promise<void> {
-		const handler = this.streamingMethodRegistry[method]
-
-		if (!handler) {
-			if (this.methodRegistry[method]) {
-				throw new Error(`Method ${method} is not a streaming method and should be handled with handleRequest`)
-			}
-			throw new Error(`Unknown ${this.serviceName} streaming method: ${method}`)
-		}
-
-		await handler(message, responseStream, requestId)
-	}
-}
-
-/**
- * Create a service registry factory function
- * @param serviceName The name of the service
- * @returns An object with register and handle functions
- */
-export function createServiceRegistry(serviceName: string) {
-	const registry = new ServiceRegistry(serviceName)
-
-	return {
-		registerMethod: (methodName: string, handler: ServiceMethodHandler | StreamingMethodHandler, metadata?: MethodMetadata) =>
-			registry.registerMethod(methodName, handler, metadata),
-
-		handleRequest: (method: string, message: any) => registry.handleRequest(method, message),
-
-		handleStreamingRequest: (method: string, message: any, responseStream: StreamingResponseHandler, requestId?: string) =>
-			registry.handleStreamingRequest(method, message, responseStream, requestId),
-
-		isStreamingMethod: (method: string) => registry.isStreamingMethod(method),
-	}
-}

hosts/vscode/uri/file.ts

@@ -1,20 +0,0 @@
-import * as vscode from "vscode"
-import { Uri } from "../../../src/shared/proto/host/uri"
-import { StringRequest } from "../../../src/shared/proto/common"
-
-/**
- * Creates a file URI from a file path
- * @param request The request containing the file path
- * @returns A URI object representing the file
- */
-export async function file(request: StringRequest): Promise<Uri> {
-	const uri = vscode.Uri.file(request.value)
-	return Uri.create({
-		scheme: uri.scheme,
-		authority: uri.authority,
-		path: uri.path,
-		query: uri.query,
-		fragment: uri.fragment,
-		fsPath: uri.fsPath,
-	})
-}

hosts/vscode/uri/joinPath.ts

@@ -1,28 +0,0 @@
-import * as vscode from "vscode"
-import { JoinPathRequest, Uri } from "../../../src/shared/proto/host/uri"
-
-/**
- * Joins a URI with additional path segments
- * @param request The request containing the base URI and path segments
- * @returns A new URI with the path segments joined
- */
-export async function joinPath(request: JoinPathRequest): Promise<Uri> {
-	// Convert proto Uri to vscode.Uri
-	if (!request.base) {
-		throw new Error("Base URI is required")
-	}
-	const baseUri = vscode.Uri.parse(`${request.base.scheme}://${request.base.authority}${request.base.path}`)
-
-	// Join paths
-	const result = vscode.Uri.joinPath(baseUri, ...request.pathSegments)
-
-	// Convert back to proto Uri
-	return Uri.create({
-		scheme: result.scheme,
-		authority: result.authority,
-		path: result.path,
-		query: result.query,
-		fragment: result.fragment,
-		fsPath: result.fsPath,
-	})
-}

hosts/vscode/uri/parse.ts

@@ -1,20 +0,0 @@
-import * as vscode from "vscode"
-import { Uri } from "../../../src/shared/proto/host/uri"
-import { StringRequest } from "../../../src/shared/proto/common"
-
-/**
- * Parses a string URI into a Uri object
- * @param request The request containing the URI string
- * @returns A URI object representing the parsed URI
- */
-export async function parse(request: StringRequest): Promise<Uri> {
-	const uri = vscode.Uri.parse(request.value)
-	return Uri.create({
-		scheme: uri.scheme,
-		authority: uri.authority,
-		path: uri.path,
-		query: uri.query,
-		fragment: uri.fragment,
-		fsPath: uri.fsPath,
-	})
-}

hosts/vscode/watch/subscribeToFile.ts

@@ -1,225 +0,0 @@
-import * as fs from "fs/promises"
-import * as fsSync from "fs"
-import { SubscribeToFileRequest, FileChangeEvent, FileChangeEvent_ChangeType } from "../../../src/shared/proto/host/watch"
-import { StreamingResponseHandler, getRequestRegistry } from "../host-grpc-handler"
-
-// Debounce configuration
-const DEBOUNCE_DELAY = 100 // ms
-
-// Keep track of active file watchers
-const fileWatchers = new Map<
-	string,
-	{
-		watcher: fsSync.FSWatcher
-		subscribers: Set<StreamingResponseHandler>
-		lastEventTime: Map<FileChangeEvent_ChangeType, number> // Track last event time by event type
-	}
->()
-
-/**
- * Subscribe to file changes
- * @param request The request containing the file path
- * @param responseStream The streaming response handler
- * @param requestId The ID of the request (passed by the gRPC handler)
- */
-export async function subscribeToFile(
-	request: SubscribeToFileRequest,
-	responseStream: StreamingResponseHandler,
-	requestId?: string,
-): Promise<void> {
-	const filePath = request.path
-	console.log(`[DEBUG] Setting up file subscription for ${filePath}`)
-
-	try {
-		// We don't send an initial event to avoid triggering handlers immediately
-		console.log(`[DEBUG] Now watching file: ${filePath}`)
-
-		// Set up or reuse file watcher
-		if (!fileWatchers.has(filePath)) {
-			// Create a new watcher for this file using Node.js fs.watch API
-			// This is more reliable than the VSCode FileSystemWatcher for detecting file saves
-			const watcher = fsSync.watch(filePath, { persistent: true }, async (eventType, filename) => {
-				if (eventType === "change") {
-					try {
-						const content = await fs.readFile(filePath, "utf8")
-						console.log(`[DEBUG] File changed: ${filePath}`)
-
-						// Get the watcher info
-						const watcherInfo = fileWatchers.get(filePath)
-						if (watcherInfo) {
-							// Check if this event should be debounced
-							const eventType = FileChangeEvent_ChangeType.CHANGED
-							const now = Date.now()
-							const lastTime = watcherInfo.lastEventTime.get(eventType) || 0
-
-							if (now - lastTime < DEBOUNCE_DELAY) {
-								console.log(
-									`[DEBUG] Debouncing change event for ${filePath} (${now - lastTime}ms since last event)`,
-								)
-								return // Skip this event due to debounce
-							}
-
-							// Update the last event time
-							watcherInfo.lastEventTime.set(eventType, now)
-
-							// Notify all subscribers
-							for (const subscriber of watcherInfo.subscribers) {
-								try {
-									await subscriber({
-										path: filePath,
-										type: eventType,
-										content,
-									})
-								} catch (error) {
-									console.error(`Error sending file change event: ${error}`)
-									watcherInfo.subscribers.delete(subscriber)
-								}
-							}
-						}
-					} catch (error) {
-						console.error(`Error reading changed file: ${error}`)
-					}
-				} else if (eventType === "rename") {
-					// In Node.js fs.watch, 'rename' can mean either creation or deletion
-					// We need to check if the file exists to determine which it is
-					try {
-						await fs.access(filePath)
-						// File exists, so it was created or renamed
-						const content = await fs.readFile(filePath, "utf8")
-						console.log(`[DEBUG] File created/renamed: ${filePath}`)
-
-						// Get the watcher info
-						const watcherInfo = fileWatchers.get(filePath)
-						if (watcherInfo) {
-							// Check if this event should be debounced
-							const eventType = FileChangeEvent_ChangeType.CREATED
-							const now = Date.now()
-							const lastTime = watcherInfo.lastEventTime.get(eventType) || 0
-
-							if (now - lastTime < DEBOUNCE_DELAY) {
-								console.log(
-									`[DEBUG] Debouncing creation event for ${filePath} (${now - lastTime}ms since last event)`,
-								)
-								return // Skip this event due to debounce
-							}
-
-							// Update the last event time
-							watcherInfo.lastEventTime.set(eventType, now)
-
-							// Notify all subscribers
-							for (const subscriber of watcherInfo.subscribers) {
-								try {
-									await subscriber({
-										path: filePath,
-										type: eventType,
-										content,
-									})
-								} catch (error) {
-									console.error(`Error sending file creation event: ${error}`)
-									watcherInfo.subscribers.delete(subscriber)
-								}
-							}
-						}
-					} catch (error) {
-						// File doesn't exist, so it was deleted
-						console.log(`[DEBUG] File deleted: ${filePath}`)
-
-						// Get the watcher info
-						const watcherInfo = fileWatchers.get(filePath)
-						if (watcherInfo) {
-							// Check if this event should be debounced
-							const eventType = FileChangeEvent_ChangeType.DELETED
-							const now = Date.now()
-							const lastTime = watcherInfo.lastEventTime.get(eventType) || 0
-
-							if (now - lastTime < DEBOUNCE_DELAY) {
-								console.log(
-									`[DEBUG] Debouncing deletion event for ${filePath} (${now - lastTime}ms since last event)`,
-								)
-								return // Skip this event due to debounce
-							}
-
-							// Update the last event time
-							watcherInfo.lastEventTime.set(eventType, now)
-
-							// Notify all subscribers
-							for (const subscriber of watcherInfo.subscribers) {
-								try {
-									await subscriber({
-										path: filePath,
-										type: eventType,
-										content: "",
-									})
-								} catch (error) {
-									console.error(`Error sending file deletion event: ${error}`)
-									watcherInfo.subscribers.delete(subscriber)
-								}
-							}
-
-							// Clean up the watcher
-							cleanupWatcher(filePath)
-						}
-					}
-				}
-			})
-
-			// Set up the watcher info
-			const watcherInfo = {
-				watcher,
-				subscribers: new Set<StreamingResponseHandler>(),
-				lastEventTime: new Map<FileChangeEvent_ChangeType, number>(),
-			}
-
-			fileWatchers.set(filePath, watcherInfo)
-		}
-
-		// Add this subscriber to the watcher
-		const watcherInfo = fileWatchers.get(filePath)!
-		watcherInfo.subscribers.add(responseStream)
-
-		// Register cleanup when the connection is closed
-		const cleanup = () => {
-			console.log(`[DEBUG] Cleaning up file subscription for ${filePath}`)
-			const watcherInfo = fileWatchers.get(filePath)
-			if (watcherInfo) {
-				watcherInfo.subscribers.delete(responseStream)
-
-				// If no subscribers left, clean up the watcher
-				if (watcherInfo.subscribers.size === 0) {
-					cleanupWatcher(filePath)
-				}
-			}
-		}
-
-		// Register the cleanup function with the request registry
-		if (requestId) {
-			getRequestRegistry().registerRequest(
-				requestId,
-				cleanup,
-				{ type: "file_subscription", path: filePath },
-				responseStream,
-			)
-		}
-	} catch (error) {
-		console.error(`Error setting up file subscription: ${error}`)
-		// Send an error response
-		await responseStream({
-			path: filePath,
-			type: FileChangeEvent_ChangeType.DELETED,
-			content: `Error: ${error instanceof Error ? error.message : String(error)}`,
-		})
-	}
-}
-
-/**
- * Clean up a file watcher
- * @param filePath The path of the file to clean up
- */
-function cleanupWatcher(filePath: string): void {
-	const watcherInfo = fileWatchers.get(filePath)
-	if (watcherInfo) {
-		watcherInfo.watcher.close()
-		fileWatchers.delete(filePath)
-		console.log(`[DEBUG] Removed file watcher for ${filePath}`)
-	}
-}

package.json

@@ -2,7 +2,7 @@
 	"name": "claude-dev",
 	"displayName": "Cline",
 	"description": "Autonomous coding agent right in your IDE, capable of creating/editing files, running commands, using the browser, and more with your permission every step of the way.",
-	"version": "3.17.11",
+	"version": "3.17.5",
 	"icon": "assets/icons/icon.png",
 	"engines": {
 		"vscode": "^1.84.0"
@@ -46,58 +46,6 @@
 	],
 	"main": "./dist/extension.js",
 	"contributes": {
-		"walkthroughs": [
-			{
-				"id": "ClineWalkthrough",
-				"title": "Meet Cline, your new coding partner",
-				"description": "Cline codes like a developer because it thinks like one. Here are 5 ways to put it to work:",
-				"steps": [
-					{
-						"id": "welcome",
-						"title": "Start with a Goal, Not Just a Prompt",
-						"description": "Tell Cline what you want to achieve. It plans, asks, and then codes, like a true partner.",
-						"media": {
-							"markdown": "walkthrough/step1.md"
-						}
-					},
-					{
-						"id": "learn",
-						"title": "Let Cline Learn Your Codebase",
-						"description": "Point Cline to your project. It builds understanding to make smart, context-aware changes.",
-						"media": {
-							"markdown": "walkthrough/step2.md"
-						}
-					},
-					{
-						"id": "advanced-features",
-						"title": "Always Use the Best AI Models",
-						"description": "Cline empowers you with State-of-the-Art AI, connecting to top models (Anthropic, Gemini, OpenAI & more).",
-						"media": {
-							"markdown": "walkthrough/step3.md"
-						}
-					},
-					{
-						"id": "mcp",
-						"title": "Extend with Powerful Tools (MCP)",
-						"description": "Connect to databases, APIs, or discover new capabilities in the MCP Marketplace.",
-						"media": {
-							"markdown": "walkthrough/step4.md"
-						}
-					},
-					{
-						"id": "getting-started",
-						"title": "You're Always in Control",
-						"description": "Review Cline's plans and diffs. Approve changes before they happen. No surprises.",
-						"media": {
-							"markdown": "walkthrough/step5.md"
-						},
-						"content": {
-							"path": "walkthrough/step5.md"
-						}
-					}
-				]
-			}
-		],
 		"viewsContainers": {
 			"activitybar": [
 				{
@@ -110,7 +58,13 @@
 					"id": "claude-dev-ActivityBar",
 					"title": "Cline (Ctrl+')",
 					"icon": "assets/icons/icon.svg",
-					"when": "!isMac"
+					"when": "isWindows"
+				},
+				{
+					"id": "claude-dev-ActivityBar",
+					"title": "Cline (Ctrl+')",
+					"icon": "assets/icons/icon.svg",
+					"when": "isLinux || !isMac && !isWindows"
 				}
 			]
 		},
@@ -195,11 +149,6 @@
 				"command": "cline.improveCode",
 				"title": "Improve with Cline",
 				"category": "Cline"
-			},
-			{
-				"command": "cline.openWalkthrough",
-				"title": "Open Walkthrough",
-				"category": "Cline"
 			}
 		],
 		"keybindings": [
@@ -334,9 +283,9 @@
 		"postprotos": "prettier src/shared/proto src/core/controller webview-ui/src/services src/standalone/server-setup.ts --write --log-level silent",
 		"compile-tests": "node ./scripts/build-tests.js",
 		"watch-tests": "tsc -p . -w --outDir out",
-		"pretest": "npm run compile-tests && npm run compile && npm run compile-standalone && npm run lint",
+		"pretest": "npm run compile-tests && npm run compile && npm run lint",
 		"check-types": "npm run protos && tsc --noEmit",
-		"lint": "eslint src --ext ts && eslint webview-ui/src --ext ts && cd webview-ui && npm run lint",
+		"lint": "eslint src --ext ts && eslint webview-ui/src --ext ts",
 		"format": "prettier . --check",
 		"format:fix": "prettier . --write",
 		"test": "npm-run-all test:unit test:integration",
@@ -373,15 +322,13 @@
 		"@types/turndown": "^5.0.5",
 		"@types/vscode": "^1.84.0",
 		"@typescript-eslint/eslint-plugin": "^7.14.1",
-		"@typescript-eslint/parser": "^7.18.0",
-		"@typescript-eslint/utils": "^8.33.0",
+		"@typescript-eslint/parser": "^7.11.0",
 		"@vscode/test-cli": "^0.0.10",
 		"@vscode/test-electron": "^2.4.1",
 		"chai": "^4.3.10",
 		"chalk": "^5.3.0",
 		"esbuild": "^0.25.0",
 		"eslint": "^8.57.0",
-		"eslint-plugin-eslint-rules": "file:eslint-rules",
 		"grpc-tools": "^1.13.0",
 		"husky": "^9.1.7",
 		"mintlify": "^4.0.515",
@@ -400,9 +347,8 @@
 		"@anthropic-ai/bedrock-sdk": "^0.12.4",
 		"@anthropic-ai/sdk": "^0.37.0",
 		"@anthropic-ai/vertex-sdk": "^0.6.4",
-		"@aws-sdk/client-bedrock-runtime": "^3.821.0",
+		"@aws-sdk/client-bedrock-runtime": "^3.758.0",
 		"@bufbuild/protobuf": "^2.2.5",
-		"@cerebras/cerebras_cloud_sdk": "^1.35.0",
 		"@google-cloud/vertexai": "^1.9.3",
 		"@google/genai": "^0.13.0",
 		"@grpc/grpc-js": "^1.9.15",
@@ -416,7 +362,6 @@
 		"@opentelemetry/sdk-trace-node": "^1.30.1",
 		"@opentelemetry/semantic-conventions": "^1.30.0",
 		"@sentry/browser": "^9.12.0",
-		"@streamparser/json": "^0.0.22",
 		"@vscode/codicons": "^0.0.36",
 		"archiver": "^7.0.1",
 		"axios": "^1.8.2",
@@ -426,7 +371,6 @@
 		"clone-deep": "^4.0.1",
 		"default-shell": "^2.2.0",
 		"diff": "^5.2.0",
-		"exceljs": "^4.4.0",
 		"execa": "^9.5.2",
 		"fast-deep-equal": "^3.1.3",
 		"firebase": "^11.2.0",
@@ -452,14 +396,12 @@
 		"posthog-node": "^4.8.1",
 		"puppeteer-chromium-resolver": "^23.0.0",
 		"puppeteer-core": "^23.4.0",
-		"reconnecting-eventsource": "^1.6.4",
 		"serialize-error": "^11.0.3",
 		"simple-git": "^3.27.0",
 		"strip-ansi": "^7.1.0",
 		"tree-sitter-wasms": "^0.1.11",
 		"ts-morph": "^25.0.1",
 		"turndown": "^7.2.0",
-		"vscode-uri": "^3.1.0",
 		"web-tree-sitter": "^0.22.6",
 		"zod": "^3.24.2"
 	}

proto/build-proto.js

@@ -6,7 +6,6 @@ import { fileURLToPath } from "url"
 import { execSync } from "child_process"
 import { globby } from "globby"
 import chalk from "chalk"
-import os from "os"
 
 import { createRequire } from "module"
 const require = createRequire(import.meta.url)
@@ -40,25 +39,13 @@ const serviceNameMap = {
 }
 const serviceDirs = Object.keys(serviceNameMap).map((serviceKey) => path.join(ROOT_DIR, "src", "core", "controller", serviceKey))
 
-// List of host gRPC services (IDE API bridge)
-// These services are implemented in the IDE extension and called by the standalone Cline Core
-const hostServiceNameMap = {
-	uri: "host.UriService",
-	watch: "host.WatchService",
-	// Add new host services here
-}
-const hostServiceDirs = Object.keys(hostServiceNameMap).map((serviceKey) => path.join(ROOT_DIR, "hosts", "vscode", serviceKey))
-
 async function main() {
 	console.log(chalk.bold.blue("Starting Protocol Buffer code generation..."))
 
-	// Check for Apple Silicon compatibility before proceeding
-	checkAppleSiliconCompatibility()
-
 	// Define output directories
 	const TS_OUT_DIR = path.join(ROOT_DIR, "src", "shared", "proto")
 
-	// Create output directories if they don't exist
+	// Create output directory if it doesn't exist
 	await fs.mkdir(TS_OUT_DIR, { recursive: true })
 
 	// Clean up existing generated files
@@ -73,7 +60,7 @@ async function main() {
 
 	// Process all proto files
 	console.log(chalk.cyan("Processing proto files from"), SCRIPT_DIR)
-	const protoFiles = await globby("**/*.proto", { cwd: SCRIPT_DIR, realpath: true })
+	const protoFiles = await globby("*.proto", { cwd: SCRIPT_DIR, realpath: true })
 
 	// Build the protoc command with proper path handling for cross-platform
 	const tsProtocCommand = [
@@ -81,8 +68,6 @@ async function main() {
 		`--proto_path="${SCRIPT_DIR}"`,
 		`--plugin=protoc-gen-ts_proto="${tsProtoPlugin}"`,
 		`--ts_proto_out="${TS_OUT_DIR}"`,
-		"--ts_proto_opt=exportCommonSymbols=false",
-		"--ts_proto_opt=outputIndex=true",
 		"--ts_proto_opt=outputServices=generic-definitions,env=node,esModuleInterop=true,useDate=false,useOptionals=messages",
 		...protoFiles,
 	].join(" ")
@@ -96,6 +81,7 @@ async function main() {
 
 	const descriptorOutDir = path.join(ROOT_DIR, "dist-standalone", "proto")
 	await fs.mkdir(descriptorOutDir, { recursive: true })
+
 	const descriptorFile = path.join(descriptorOutDir, "descriptor_set.pb")
 	const descriptorProtocCommand = [
 		protoc,
@@ -116,11 +102,8 @@ async function main() {
 	console.log(chalk.green(`TypeScript files generated in: ${TS_OUT_DIR}`))
 
 	await generateMethodRegistrations()
-	await generateHostMethodRegistrations()
 	await generateServiceConfig()
-	await generateHostServiceConfig()
 	await generateGrpcClientConfig()
-	await generateHostGrpcClientConfig()
 }
 
 /**
@@ -263,7 +246,7 @@ async function generateMethodRegistrations() {
 // Import all method implementations
 import { registerMethod } from "./index"\n`
 
-		// Import implementations directly
+		// Add imports for all implementation files
 		for (const file of implementationFiles) {
 			const baseName = path.basename(file, ".ts")
 			methodsContent += `import { ${baseName} } from "./${baseName}"\n`
@@ -437,242 +420,6 @@ service ${serviceClassName} {
 	}
 }
 
-/**
- * Generate method registration files for host services
- */
-async function generateHostMethodRegistrations() {
-	console.log(chalk.cyan("Generating host method registration files..."))
-
-	// Parse proto files for streaming methods
-	const hostProtoFiles = await globby("*.proto", { cwd: path.join(SCRIPT_DIR, "host") })
-	const streamingMethodsMap = await parseProtoForStreamingMethods(hostProtoFiles, path.join(SCRIPT_DIR, "host"))
-
-	for (const serviceDir of hostServiceDirs) {
-		try {
-			await fs.access(serviceDir)
-		} catch (error) {
-			console.log(chalk.cyan(`Creating directory ${serviceDir} for new host service`))
-			await fs.mkdir(serviceDir, { recursive: true })
-		}
-
-		const serviceName = path.basename(serviceDir)
-		const registryFile = path.join(serviceDir, "methods.ts")
-		const indexFile = path.join(serviceDir, "index.ts")
-
-		const fullServiceName = hostServiceNameMap[serviceName]
-		const streamingMethods = streamingMethodsMap.get(fullServiceName) || []
-
-		console.log(chalk.cyan(`Generating method registrations for host ${serviceName}...`))
-
-		// Get all TypeScript files in the service directory
-		const files = await globby("*.ts", { cwd: serviceDir })
-
-		// Filter out index.ts and methods.ts
-		const implementationFiles = files.filter((file) => file !== "index.ts" && file !== "methods.ts")
-
-		// Create the methods.ts file with header
-		let methodsContent = `// AUTO-GENERATED FILE - DO NOT MODIFY DIRECTLY
-// Generated by proto/build-proto.js
-
-// Import all method implementations
-import { registerMethod } from "./index"\n`
-
-		// Import implementations directly
-		for (const file of implementationFiles) {
-			const baseName = path.basename(file, ".ts")
-			methodsContent += `import { ${baseName} } from "./${baseName}"\n`
-		}
-
-		// Add streaming methods information
-		if (streamingMethods.length > 0) {
-			methodsContent += `\n// Streaming methods for this service
-export const streamingMethods = ${JSON.stringify(
-				streamingMethods.map((m) => m.name),
-				null,
-				2,
-			)}\n`
-		}
-
-		// Add registration function
-		methodsContent += `\n// Register all ${serviceName} service methods
-export function registerAllMethods(): void {
-\t// Register each method with the registry\n`
-
-		// Add registration statements
-		for (const file of implementationFiles) {
-			const baseName = path.basename(file, ".ts")
-			const isStreaming = streamingMethods.some((m) => m.name === baseName)
-
-			if (isStreaming) {
-				methodsContent += `\tregisterMethod("${baseName}", ${baseName}, { isStreaming: true })\n`
-			} else {
-				methodsContent += `\tregisterMethod("${baseName}", ${baseName})\n`
-			}
-		}
-
-		// Close the function
-		methodsContent += `}`
-
-		// Write the methods.ts file
-		await fs.writeFile(registryFile, methodsContent)
-		console.log(chalk.green(`Generated ${registryFile}`))
-
-		// Generate index.ts file
-		const capitalizedServiceName = serviceName.charAt(0).toUpperCase() + serviceName.slice(1)
-		const indexContent = `// AUTO-GENERATED FILE - DO NOT MODIFY DIRECTLY
-// Generated by proto/build-proto.js
-
-import { createServiceRegistry, ServiceMethodHandler, StreamingMethodHandler } from "../host-grpc-service"
-import { StreamingResponseHandler } from "../host-grpc-handler"
-import { registerAllMethods } from "./methods"
-
-// Create ${serviceName} service registry
-const ${serviceName}Service = createServiceRegistry("${serviceName}")
-
-// Export the method handler types and registration function
-export type ${capitalizedServiceName}MethodHandler = ServiceMethodHandler
-export type ${capitalizedServiceName}StreamingMethodHandler = StreamingMethodHandler
-export const registerMethod = ${serviceName}Service.registerMethod
-
-// Export the request handlers
-export const handle${capitalizedServiceName}ServiceRequest = ${serviceName}Service.handleRequest
-export const handle${capitalizedServiceName}ServiceStreamingRequest = ${serviceName}Service.handleStreamingRequest
-export const isStreamingMethod = ${serviceName}Service.isStreamingMethod
-
-// Register all ${serviceName} methods
-registerAllMethods()`
-
-		// Write the index.ts file
-		await fs.writeFile(indexFile, indexContent)
-		console.log(chalk.green(`Generated ${indexFile}`))
-	}
-
-	console.log(chalk.green("Host method registration files generated successfully."))
-}
-
-/**
- * Generate a service configuration file for host services
- */
-async function generateHostServiceConfig() {
-	console.log(chalk.cyan("Generating host service configuration file..."))
-
-	const serviceImports = []
-	const serviceConfigs = []
-
-	// Add all services from the hostServiceNameMap
-	for (const [dirName, fullServiceName] of Object.entries(hostServiceNameMap)) {
-		const capitalizedName = dirName.charAt(0).toUpperCase() + dirName.slice(1)
-		serviceImports.push(
-			`import { handle${capitalizedName}ServiceRequest, handle${capitalizedName}ServiceStreamingRequest } from "./${dirName}/index"`,
-		)
-		serviceConfigs.push(`
-  "${fullServiceName}": {
-    requestHandler: handle${capitalizedName}ServiceRequest,
-    streamingHandler: handle${capitalizedName}ServiceStreamingRequest
-  }`)
-	}
-
-	const content = `// AUTO-GENERATED FILE - DO NOT MODIFY DIRECTLY
-// Generated by proto/build-proto.js
-
-import { StreamingResponseHandler } from "./host-grpc-handler"
-${serviceImports.join("\n")}
-
-/**
- * Configuration for a host service handler
- */
-export interface HostServiceHandlerConfig {
-  requestHandler: (method: string, message: any) => Promise<any>;
-  streamingHandler: (method: string, message: any, responseStream: StreamingResponseHandler, requestId?: string) => Promise<void>;
-}
-
-/**
- * Map of host service names to their handler configurations
- */
-export const hostServiceHandlers: Record<string, HostServiceHandlerConfig> = {${serviceConfigs.join(",")}
-};`
-
-	const configPath = path.join(ROOT_DIR, "hosts", "vscode", "host-grpc-service-config.ts")
-	await fs.mkdir(path.dirname(configPath), { recursive: true })
-	await fs.writeFile(configPath, content)
-	console.log(chalk.green(`Generated host service configuration at ${configPath}`))
-}
-
-/**
- * Generate a gRPC client configuration file for host services
- */
-async function generateHostGrpcClientConfig() {
-	console.log(chalk.cyan("Generating host gRPC client configuration..."))
-
-	const serviceImports = []
-	const serviceClientCreations = []
-	const serviceExports = []
-
-	// Process each service in the hostServiceNameMap
-	for (const [dirName, fullServiceName] of Object.entries(hostServiceNameMap)) {
-		const capitalizedName = dirName.charAt(0).toUpperCase() + dirName.slice(1)
-
-		// Add import statement
-		serviceImports.push(`import { ${capitalizedName}ServiceDefinition } from "@shared/proto/host/${dirName}"`)
-
-		// Add client creation
-		serviceClientCreations.push(
-			`const ${capitalizedName}ServiceClient = createGrpcClient(${capitalizedName}ServiceDefinition)`,
-		)
-
-		// Add to exports
-		serviceExports.push(`${capitalizedName}ServiceClient`)
-	}
-
-	// Generate the file content
-	const content = `// AUTO-GENERATED FILE - DO NOT MODIFY DIRECTLY
-// Generated by proto/build-proto.js
-
-import { createGrpcClient } from "./host-grpc-client-base"
-${serviceImports.join("\n")}
-
-${serviceClientCreations.join("\n")}
-
-export {
-	${serviceExports.join(",\n\t")}
-}`
-
-	const configPath = path.join(ROOT_DIR, "src", "standalone", "services", "host-grpc-client.ts")
-	await fs.mkdir(path.dirname(configPath), { recursive: true })
-	await fs.writeFile(configPath, content)
-	console.log(chalk.green(`Generated host gRPC client at ${configPath}`))
-}
-
-// Check for Apple Silicon compatibility
-function checkAppleSiliconCompatibility() {
-	// Only run check on macOS
-	if (process.platform !== "darwin") {
-		return
-	}
-
-	// Check if running on Apple Silicon
-	const cpuArchitecture = os.arch()
-	if (cpuArchitecture === "arm64") {
-		try {
-			// Check if Rosetta is installed
-			const rosettaCheck = execSync('/usr/bin/pgrep oahd || echo "NOT_INSTALLED"').toString().trim()
-
-			if (rosettaCheck === "NOT_INSTALLED") {
-				console.log(chalk.yellow("Detected Apple Silicon (ARM64) architecture."))
-				console.log(
-					chalk.red("Rosetta 2 is NOT installed. The npm version of protoc is not compatible with Apple Silicon."),
-				)
-				console.log(chalk.cyan("Please install Rosetta 2 using the following command:"))
-				console.log(chalk.cyan("  softwareupdate --install-rosetta --agree-to-license"))
-				console.log(chalk.red("Aborting build process."))
-				process.exit(1)
-			}
-		} catch (error) {
-			console.log(chalk.yellow("Could not determine Rosetta installation status. Proceeding anyway."))
-		}
-	}
-}
-
 // Run the main function
 main().catch((error) => {
 	console.error(chalk.red("Error:"), error)

proto/common.proto

@@ -58,13 +58,3 @@ message Boolean {
 message StringArray {
   repeated string values = 1;
 }
-
-message StringArrays {
-  repeated string values1 = 1;
-  repeated string values2 = 2;
-}
-
-message KeyValuePair {
-  string key = 1;
-  string value = 2;
-}

proto/file.proto

@@ -31,9 +31,6 @@ service FileService {
 
   // Select images from the file system and return as data URLs
   rpc selectImages(EmptyRequest) returns (StringArray);
-
-  // Select images and other files from the file system and returns as data URLs & paths respectively
-  rpc selectFiles(BooleanRequest) returns (StringArrays);
   
   // Convert URIs to workspace-relative paths
   rpc getRelativePaths(RelativePathsRequest) returns (RelativePaths);
@@ -52,15 +49,6 @@ service FileService {
   
   // Refreshes all rule toggles (Cline, External, and Workflows)
   rpc refreshRules(EmptyRequest) returns (RefreshedRules);
-
-  // Opens a task's conversation history file on disk
-  rpc openTaskHistory(StringRequest) returns (Empty);
-  
-  // Toggles a workflow on or off
-  rpc toggleWorkflow(ToggleWorkflowRequest) returns (ClineRulesToggles);
-
-  // Subscribe to workspace file updates
-  rpc subscribeToWorkspaceUpdates(EmptyRequest) returns (stream StringArray);
 }
 
 // Response for refreshRules operation
@@ -167,11 +155,3 @@ message ToggleCursorRuleRequest {
   string rule_path = 2;   // Path to the rule file
   bool enabled = 3;       // Whether to enable or disable the rule
 }
-
-// Request to toggle a workflow on or off
-message ToggleWorkflowRequest {
-  Metadata metadata = 1;
-  string workflow_path = 2;
-  bool enabled = 3;
-  bool is_global = 4;
-}

proto/host/uri.proto

@@ -1,36 +0,0 @@
-syntax = "proto3";
-
-package host;
-option java_package = "bot.cline.host.proto";
-option java_multiple_files = true;
-
-import "common.proto";
-
-// UriService provides methods for working with URIs in the IDE
-service UriService {
-  // Create a new file URI from a file path
-  rpc file(cline.StringRequest) returns (Uri);
-  
-  // Join a URI with additional path segments
-  rpc joinPath(JoinPathRequest) returns (Uri);
-  
-  // Parse a string URI into a Uri object
-  rpc parse(cline.StringRequest) returns (Uri);
-}
-
-// Uri represents a URI in the IDE
-message Uri {
-  string scheme = 1;
-  string authority = 2;
-  string path = 3;
-  string query = 4;
-  string fragment = 5;
-  string fsPath = 6;
-}
-
-// Request for joining path segments to a URI
-message JoinPathRequest {
-  cline.Metadata metadata = 1;
-  Uri base = 2;
-  repeated string pathSegments = 3;
-}

proto/host/watch.proto

@@ -1,32 +0,0 @@
-syntax = "proto3";
-
-package host;
-option java_package = "bot.cline.host.proto";
-option java_multiple_files = true;
-
-import "common.proto";
-
-// WatchService provides methods for watching files in the IDE
-service WatchService {
-  // Subscribe to file changes
-  rpc subscribeToFile(SubscribeToFileRequest) returns (stream FileChangeEvent);
-}
-
-// Request to subscribe to file changes
-message SubscribeToFileRequest {
-  cline.Metadata metadata = 1;
-  string path = 2;
-}
-
-// Event representing a file change
-message FileChangeEvent {
-  enum ChangeType {
-    CREATED = 0;
-    CHANGED = 1;
-    DELETED = 2;
-  }
-  
-  string path = 1;
-  ChangeType type = 2;
-  string content = 3; // Optional content of the file after change
-}

proto/mcp.proto

@@ -16,10 +16,6 @@ service McpService {
   rpc toggleToolAutoApprove(ToggleToolAutoApproveRequest) returns (McpServers);
   rpc refreshMcpMarketplace(EmptyRequest) returns (McpMarketplaceCatalog);
   rpc openMcpSettings(EmptyRequest) returns (Empty);
-  
-  // Subscribe to MCP marketplace catalog updates
-  rpc subscribeToMcpMarketplaceCatalog(EmptyRequest) returns (stream McpMarketplaceCatalog);
-  rpc getLatestMcpServers(Empty) returns (McpServers);
 }
 
 message ToggleMcpServerRequest {

proto/models.proto

@@ -20,8 +20,6 @@ service ModelsService {
   rpc refreshOpenAiModels(OpenAiModelsRequest) returns (StringArray);
   // Refreshes and returns Requesty models
   rpc refreshRequestyModels(EmptyRequest) returns (OpenRouterCompatibleModelInfo);
-  // Subscribe to OpenRouter models updates
-  rpc subscribeToOpenRouterModels(EmptyRequest) returns (stream OpenRouterCompatibleModelInfo);
 }
 
 // List of VS Code LM models
@@ -37,42 +35,17 @@ message VsCodeLmModel {
   string id = 4;
 }
 
-// Price tier for tiered pricing models
-message PriceTier {
-  int32 token_limit = 1;  // Upper limit (inclusive) of input tokens for this price
-  double price = 2;       // Price per million tokens for this tier
-}
-
-// Thinking configuration for models that support thinking/reasoning
-message ThinkingConfig {
-  optional int32 max_budget = 1;                    // Max allowed thinking budget tokens
-  optional double output_price = 2;                 // Output price per million tokens when budget > 0
-  repeated PriceTier output_price_tiers = 3;        // Optional: Tiered output price when budget > 0
-}
-
-// Model tier for tiered pricing structures
-message ModelTier {
-  int32 context_window = 1;
-  optional double input_price = 2;
-  optional double output_price = 3;
-  optional double cache_writes_price = 4;
-  optional double cache_reads_price = 5;
-}
-
 // For OpenRouterCompatibleModelInfo structure in OpenRouterModels
 message OpenRouterModelInfo {
-  optional int32 max_tokens = 1;
-  optional int32 context_window = 2;
-  optional bool supports_images = 3;
+  int32 max_tokens = 1;
+  int32 context_window = 2;
+  bool supports_images = 3;
   bool supports_prompt_cache = 4;
-  optional double input_price = 5;
-  optional double output_price = 6;
-  optional double cache_writes_price = 7;
-  optional double cache_reads_price = 8;
-  optional string description = 9;
-  optional ThinkingConfig thinking_config = 10;
-  optional bool supports_global_endpoint = 11;
-  repeated ModelTier tiers = 12;
+  double input_price = 5;
+  double output_price = 6;
+  double cache_writes_price = 7;
+  double cache_reads_price = 8;
+  string description = 9;
 }
 
 // Shared response message for model information

proto/state.proto

@@ -1,7 +1,5 @@
 syntax = "proto3";
 package cline;
-option java_package = "bot.cline.proto";
-option java_multiple_files = true;
 
 import "common.proto";
 
@@ -13,7 +11,6 @@ service StateService {
   rpc togglePlanActMode(TogglePlanActModeRequest) returns (Empty);
   rpc updateTerminalConnectionTimeout(Int64Request) returns (Int64);
   rpc updateAutoApprovalSettings(AutoApprovalSettingsRequest) returns (Empty);
-  rpc updateSettings(UpdateSettingsRequest) returns (Empty);
 }
 
 message State {
@@ -40,7 +37,6 @@ message ChatSettings {
 message ChatContent {
   optional string message = 1;
   repeated string images = 2;
-  repeated string files = 3;
 }
 
 // Message for auto approval settings
@@ -65,126 +61,3 @@ message AutoApprovalSettingsRequest {
   bool enable_notifications = 6;
   repeated string favorites = 7;
 }
-
-// Message for updating settings
-message UpdateSettingsRequest {
-  Metadata metadata = 1;
-  optional ApiConfiguration api_configuration = 2;
-  optional string custom_instructions_setting = 3;
-  optional string telemetry_setting = 4;
-  optional bool plan_act_separate_models_setting = 5;
-  optional bool enable_checkpoints_setting = 6;
-  optional bool mcp_marketplace_enabled = 7;
-  optional ChatSettings chat_settings = 8;
-  optional int64 shell_integration_timeout = 9;
-  optional bool terminal_reuse_enabled = 10;
-  optional bool mcp_responses_collapsed = 11;
-}
-
-// Complete API Configuration message
-message ApiConfiguration {
-  // Core API fields
-  optional string api_provider = 1;
-  optional string api_model_id = 2;
-  optional string api_key = 3; // anthropic
-  optional string api_base_url = 4;
-  
-  // Provider-specific API keys
-  optional string cline_api_key = 5;
-  optional string openrouter_api_key = 6;
-  optional string anthropic_base_url = 7;
-  optional string openai_api_key = 8;
-  optional string openai_native_api_key = 9;
-  optional string gemini_api_key = 10;
-  optional string deepseek_api_key = 11;
-  optional string requesty_api_key = 12;
-  optional string together_api_key = 13;
-  optional string fireworks_api_key = 14;
-  optional string qwen_api_key = 15;
-  optional string doubao_api_key = 16;
-  optional string mistral_api_key = 17;
-  optional string nebius_api_key = 18;
-  optional string asksage_api_key = 19;
-  optional string xai_api_key = 20;
-  optional string sambanova_api_key = 21;
-  optional string cerebras_api_key = 22;
-  
-  // Model IDs
-  optional string openrouter_model_id = 23;
-  optional string openai_model_id = 24;
-  optional string anthropic_model_id = 25;
-  optional string bedrock_model_id = 26;
-  optional string vertex_model_id = 27;
-  optional string gemini_model_id = 28;
-  optional string ollama_model_id = 29;
-  optional string lm_studio_model_id = 30;
-  optional string litellm_model_id = 31;
-  optional string requesty_model_id = 32;
-  optional string together_model_id = 33;
-  optional string fireworks_model_id = 34;
-  
-  // AWS Bedrock fields
-  optional bool aws_bedrock_custom_selected = 35;
-  optional string aws_bedrock_custom_model_base_id = 36;
-  optional string aws_access_key = 37;
-  optional string aws_secret_key = 38;
-  optional string aws_session_token = 39;
-  optional string aws_region = 40;
-  optional bool aws_use_cross_region_inference = 41;
-  optional bool aws_bedrock_use_prompt_cache = 42;
-  optional bool aws_use_profile = 43;
-  optional string aws_profile = 44;
-  optional string aws_bedrock_endpoint = 45;
-  
-  // Vertex AI fields
-  optional string vertex_project_id = 46;
-  optional string vertex_region = 47;
-  
-  // Base URLs and endpoints
-  optional string openai_base_url = 48;
-  optional string ollama_base_url = 49;
-  optional string lm_studio_base_url = 50;
-  optional string gemini_base_url = 51;
-  optional string litellm_base_url = 52;
-  optional string asksage_api_url = 53;
-  
-  // LiteLLM specific fields
-  optional string litellm_api_key = 54;
-  optional bool litellm_use_prompt_cache = 55;
-  
-  // Model configuration
-  optional int64 thinking_budget_tokens = 56;
-  optional string reasoning_effort = 57;
-  optional int64 request_timeout_ms = 58;
-  
-  // Fireworks specific
-  optional int64 fireworks_model_max_completion_tokens = 59;
-  optional int64 fireworks_model_max_tokens = 60;
-  
-  // Azure specific
-  optional string azure_api_version = 61;
-  
-  // Ollama specific
-  optional string ollama_api_options_ctx_num = 62;
-  
-  // Qwen specific
-  optional string qwen_api_line = 63;
-  
-  // OpenRouter specific
-  optional string openrouter_provider_sorting = 64;
-  
-  // VSCode LM (stored as JSON string due to complex type)
-  optional string vscode_lm_model_selector = 65;
-  
-  // Model info objects (stored as JSON strings)
-  optional string openrouter_model_info = 66;
-  optional string openai_model_info = 67;
-  optional string requesty_model_info = 68;
-  optional string litellm_model_info = 69;
-  
-  // OpenAI headers (stored as JSON string)
-  optional string openai_headers = 70;
-  
-  // Favorited model IDs
-  repeated string favorited_model_ids = 71;
-}

proto/task.proto

@@ -33,8 +33,6 @@ service TaskService {
   rpc taskFeedback(StringRequest) returns (Empty);
   // Shows task completion changes diff in a view
   rpc taskCompletionViewChanges(Int64Request) returns (Empty);
-  // Executes a quick win task with command and title
-  rpc executeQuickWin(ExecuteQuickWinRequest) returns (Empty);
 }
 
 // Request message for creating a new task
@@ -42,7 +40,6 @@ message NewTaskRequest {
   Metadata metadata = 1;
   string text = 2;
   repeated string images = 3;
-  repeated string files = 4;
 }
 
 // Request message for toggling task favorite status
@@ -107,12 +104,4 @@ message AskResponseRequest {
   string response_type = 2; 
   string text = 3;
   repeated string images = 4;
-  repeated string files = 5;
-}
-
-// Request for executing a quick win task
-message ExecuteQuickWinRequest {
-  Metadata metadata = 1;
-  string command = 2;
-  string title = 3;
 }

proto/ui.proto

@@ -6,253 +6,11 @@ option java_multiple_files = true;
 
 import "common.proto";
 
-// Enum for webview provider types
-enum WebviewProviderType {
-  SIDEBAR = 0;
-  TAB = 1;
-}
-
-// Define a new message type for webview provider info
-message WebviewProviderTypeRequest {
-  Metadata metadata = 1;
-  WebviewProviderType providerType = 2;
-}
-
-// Enum for ClineMessage type
-enum ClineMessageType {
-  ASK = 0;
-  SAY = 1;
-}
-
-// Enum for ClineAsk types
-enum ClineAsk {
-  FOLLOWUP = 0;
-  PLAN_MODE_RESPOND = 1;
-  COMMAND = 2;
-  COMMAND_OUTPUT = 3;
-  COMPLETION_RESULT = 4;
-  TOOL = 5;
-  API_REQ_FAILED = 6;
-  RESUME_TASK = 7;
-  RESUME_COMPLETED_TASK = 8;
-  MISTAKE_LIMIT_REACHED = 9;
-  AUTO_APPROVAL_MAX_REQ_REACHED = 10;
-  BROWSER_ACTION_LAUNCH = 11;
-  USE_MCP_SERVER = 12;
-  NEW_TASK = 13;
-  CONDENSE = 14;
-  REPORT_BUG = 15;
-}
-
-// Enum for ClineSay types
-enum ClineSay {
-  TASK = 0;
-  ERROR = 1;
-  API_REQ_STARTED = 2;
-  API_REQ_FINISHED = 3;
-  TEXT = 4;
-  REASONING = 5;
-  COMPLETION_RESULT_SAY = 6;
-  USER_FEEDBACK = 7;
-  USER_FEEDBACK_DIFF = 8;
-  API_REQ_RETRIED = 9;
-  COMMAND_SAY = 10;
-  COMMAND_OUTPUT_SAY = 11;
-  TOOL_SAY = 12;
-  SHELL_INTEGRATION_WARNING = 13;
-  BROWSER_ACTION_LAUNCH_SAY = 14;
-  BROWSER_ACTION = 15;
-  BROWSER_ACTION_RESULT = 16;
-  MCP_SERVER_REQUEST_STARTED = 17;
-  MCP_SERVER_RESPONSE = 18;
-  USE_MCP_SERVER_SAY = 19;
-  DIFF_ERROR = 20;
-  DELETED_API_REQS = 21;
-  CLINEIGNORE_ERROR = 22;
-  CHECKPOINT_CREATED = 23;
-  LOAD_MCP_DOCUMENTATION = 24;
-  INFO = 25;
-}
-
-// Enum for ClineSayTool tool types
-enum ClineSayToolType {
-  EDITED_EXISTING_FILE = 0;
-  NEW_FILE_CREATED = 1;
-  READ_FILE = 2;
-  LIST_FILES_TOP_LEVEL = 3;
-  LIST_FILES_RECURSIVE = 4;
-  LIST_CODE_DEFINITION_NAMES = 5;
-  SEARCH_FILES = 6;
-  WEB_FETCH = 7;
-}
-
-// Enum for browser actions
-enum BrowserAction {
-  LAUNCH = 0;
-  CLICK = 1;
-  TYPE = 2;
-  SCROLL_DOWN = 3;
-  SCROLL_UP = 4;
-  CLOSE = 5;
-}
-
-// Enum for MCP server request types
-enum McpServerRequestType {
-  USE_MCP_TOOL = 0;
-  ACCESS_MCP_RESOURCE = 1;
-}
-
-// Enum for API request cancel reasons
-enum ClineApiReqCancelReason {
-  STREAMING_FAILED = 0;
-  USER_CANCELLED = 1;
-  RETRIES_EXHAUSTED = 2;
-}
-
-// Message for conversation history deleted range
-message ConversationHistoryDeletedRange {
-  int32 start_index = 1;
-  int32 end_index = 2;
-}
-
-// Message for ClineSayTool
-message ClineSayTool {
-  ClineSayToolType tool = 1;
-  string path = 2;
-  string diff = 3;
-  string content = 4;
-  string regex = 5;
-  string file_pattern = 6;
-  bool operation_is_located_in_workspace = 7;
-}
-
-// Message for ClineSayBrowserAction
-message ClineSayBrowserAction {
-  BrowserAction action = 1;
-  string coordinate = 2;
-  string text = 3;
-}
-
-// Message for BrowserActionResult
-message BrowserActionResult {
-  string screenshot = 1;
-  string logs = 2;
-  string current_url = 3;
-  string current_mouse_position = 4;
-}
-
-// Message for ClineAskUseMcpServer
-message ClineAskUseMcpServer {
-  string server_name = 1;
-  McpServerRequestType type = 2;
-  string tool_name = 3;
-  string arguments = 4;
-  string uri = 5;
-}
-
-// Message for ClinePlanModeResponse
-message ClinePlanModeResponse {
-  string response = 1;
-  repeated string options = 2;
-  string selected = 3;
-}
-
-// Message for ClineAskQuestion
-message ClineAskQuestion {
-  string question = 1;
-  repeated string options = 2;
-  string selected = 3;
-}
-
-// Message for ClineAskNewTask
-message ClineAskNewTask {
-  string context = 1;
-}
-
-// Message for API request retry status
-message ApiReqRetryStatus {
-  int32 attempt = 1;
-  int32 max_attempts = 2;
-  int32 delay_sec = 3;
-  string error_snippet = 4;
-}
-
-// Message for ClineApiReqInfo
-message ClineApiReqInfo {
-  string request = 1;
-  int32 tokens_in = 2;
-  int32 tokens_out = 3;
-  int32 cache_writes = 4;
-  int32 cache_reads = 5;
-  double cost = 6;
-  ClineApiReqCancelReason cancel_reason = 7;
-  string streaming_failed_message = 8;
-  ApiReqRetryStatus retry_status = 9;
-}
-
-// Main ClineMessage type
-message ClineMessage {
-  int64 ts = 1;
-  ClineMessageType type = 2;
-  ClineAsk ask = 3;
-  ClineSay say = 4;
-  string text = 5;
-  string reasoning = 6;
-  repeated string images = 7;
-  repeated string files = 8;
-  bool partial = 9;
-  string last_checkpoint_hash = 10;
-  bool is_checkpoint_checked_out = 11;
-  bool is_operation_outside_workspace = 12;
-  int32 conversation_history_index = 13;
-  ConversationHistoryDeletedRange conversation_history_deleted_range = 14;
-  
-  // Additional fields for specific ask/say types
-  ClineSayTool say_tool = 15;
-  ClineSayBrowserAction say_browser_action = 16;
-  BrowserActionResult browser_action_result = 17;
-  ClineAskUseMcpServer ask_use_mcp_server = 18;
-  ClinePlanModeResponse plan_mode_response = 19;
-  ClineAskQuestion ask_question = 20;
-  ClineAskNewTask ask_new_task = 21;
-  ClineApiReqInfo api_req_info = 22;
-}
-
 // UiService provides methods for managing UI interactions
 service UiService {
   // Scrolls to a specific settings section in the settings view
-  rpc scrollToSettings(StringRequest) returns (KeyValuePair);
+  rpc scrollToSettings(StringRequest) returns (Empty);
   
   // Marks the current announcement as shown and returns whether an announcement should still be shown
   rpc onDidShowAnnouncement(EmptyRequest) returns (Boolean);
-  
-  // Subscribe to addToInput events (when user adds content via context menu)
-  rpc subscribeToAddToInput(EmptyRequest) returns (stream String);
-  
-  // Subscribe to MCP button clicked events
-  rpc subscribeToMcpButtonClicked(WebviewProviderTypeRequest) returns (stream Empty);
-  
-  // Subscribe to history button click events
-  rpc subscribeToHistoryButtonClicked(WebviewProviderTypeRequest) returns (stream Empty);
-  
-  // Subscribe to chat button clicked events (when the chat button is clicked in VSCode)
-  rpc subscribeToChatButtonClicked(EmptyRequest) returns (stream Empty);
-  
-  // Subscribe to account button click events
-  rpc subscribeToAccountButtonClicked(EmptyRequest) returns (stream Empty);
-  
-  // Subscribe to settings button clicked events
-  rpc subscribeToSettingsButtonClicked(WebviewProviderTypeRequest) returns (stream Empty);
-  
-  // Subscribe to partial message updates (streaming Cline messages as they're built)
-  rpc subscribeToPartialMessage(EmptyRequest) returns (stream ClineMessage);
-  
-  // Subscribe to theme change events
-  rpc subscribeToTheme(EmptyRequest) returns (stream String);
-  
-  // Initialize webview when it launches
-  rpc initializeWebview(EmptyRequest) returns (Empty);
-  
-  // Subscribe to relinquish control events
-  rpc subscribeToRelinquishControl(EmptyRequest) returns (stream Empty);
 }

scripts/generate-server-setup.mjs

@@ -32,15 +32,13 @@ function generateHandlersAndExports() {
 		handlerSetup.push(`    server.addService(proto.cline.${name}.service, {`)
 		for (const [rpcName, rpc] of Object.entries(def.service)) {
 			imports.push(`import { ${rpcName} } from "../core/controller/${dir}/${rpcName}"`)
-			const requestType = "proto.cline." + rpc.requestType.type.name
 			if (rpc.requestStream) {
 				throw new Error("Request streaming is not supported")
 			}
 			if (rpc.responseStream) {
-				handlerSetup.push(`        ${rpcName}: wrapStreamingResponse<${requestType},void>(${rpcName}, controller),`)
+				handlerSetup.push(`        ${rpcName}: wrapStreamingResponse(${rpcName}, controller),`)
 			} else {
-				const responseType = "proto.cline." + rpc.responseType.type.name
-				handlerSetup.push(`         ${rpcName}: wrapper<${requestType},${responseType}>(${rpcName}, controller),`)
+				handlerSetup.push(`         ${rpcName}: wrapper(${rpcName}, controller),`)
 			}
 		}
 		handlerSetup.push(`    });`)
@@ -60,11 +58,11 @@ const scriptName = path.basename(fileURLToPath(import.meta.url))
 let output = `// GENERATED CODE -- DO NOT EDIT!
 // Generated by ${scriptName}
 import * as grpc from "@grpc/grpc-js"
-import * as proto from "@/shared/proto"
 import { Controller } from "../core/controller"
 import { GrpcHandlerWrapper, GrpcStreamingResponseHandlerWrapper } from "./grpc-types"
 
 ${imports}
+
 export function addServices(
 	server: grpc.Server,
 	proto: any,

scripts/package-standalone.mjs

@@ -39,7 +39,7 @@ const output = fs.createWriteStream(zipPath)
 const archive = archiver("zip", { zlib: { level: 9 } })
 
 output.on("close", () => {
-	console.log(`Created ${zipPath} (${(archive.pointer() / 1024 / 1024).toFixed(1)} MB)`)
+	console.log(`Created ${zipPath} (${archive.pointer()} bytes)`)
 })
 
 archive.on("error", (err) => {

src/api/index.ts

@@ -24,7 +24,6 @@ import { FireworksHandler } from "./providers/fireworks"
 import { AskSageHandler } from "./providers/asksage"
 import { XAIHandler } from "./providers/xai"
 import { SambanovaHandler } from "./providers/sambanova"
-import { CerebrasHandler } from "./providers/cerebras"
 
 export interface ApiHandler {
 	createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream
@@ -85,8 +84,6 @@ export function buildApiHandler(configuration: ApiConfiguration): ApiHandler {
 			return new XAIHandler(options)
 		case "sambanova":
 			return new SambanovaHandler(options)
-		case "cerebras":
-			return new CerebrasHandler(options)
 		default:
 			return new AnthropicHandler(options)
 	}

src/api/providers/anthropic.ts

@@ -133,7 +133,7 @@ export class AnthropicHandler implements ApiHandler {
 		}
 
 		for await (const chunk of stream) {
-			switch (chunk?.type) {
+			switch (chunk.type) {
 				case "message_start":
 					// tells us cache reads/writes/input/output
 					const usage = chunk.message.usage

src/api/providers/asksage.ts

@@ -9,7 +9,6 @@ import {
 	askSageDefaultURL,
 } from "@shared/api"
 import { ApiStream } from "../transform/stream"
-import { withRetry } from "../retry"
 
 type AskSageRequest = {
 	system_prompt: string
@@ -46,7 +45,6 @@ export class AskSageHandler implements ApiHandler {
 		}
 	}
 
-	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		try {
 			const model = this.getModel()

src/api/providers/bedrock.ts

@@ -120,7 +120,7 @@ export class AwsBedrockHandler implements ApiHandler {
 		)
 
 		for await (const chunk of stream) {
-			switch (chunk?.type) {
+			switch (chunk.type) {
 				case "message_start":
 					const usage = chunk.message.usage
 					yield {
@@ -223,19 +223,8 @@ export class AwsBedrockHandler implements ApiHandler {
 		secretAccessKey: string
 		sessionToken?: string
 	}> {
-		// Configure provider options
-		const providerOptions: any = {}
-		if (this.options.awsUseProfile) {
-			// For profile-based auth, always use ignoreCache to detect credential file changes
-			// This solves the AWS Identity Manager issue where credential files change externally
-			providerOptions.ignoreCache = true
-			if (this.options.awsProfile) {
-				providerOptions.profile = this.options.awsProfile
-			}
-		}
-
 		// Create AWS credentials by executing an AWS provider chain
-		const providerChain = fromNodeProviderChain(providerOptions)
+		const providerChain = fromNodeProviderChain()
 		return await AwsBedrockHandler.withTempEnv(
 			() => {
 				AwsBedrockHandler.setEnv("AWS_REGION", this.options.awsRegion)

src/api/providers/cerebras.ts

@@ -1,169 +0,0 @@
-import { Anthropic } from "@anthropic-ai/sdk"
-import Cerebras from "@cerebras/cerebras_cloud_sdk"
-import { withRetry } from "../retry"
-import { ApiHandlerOptions, ModelInfo, CerebrasModelId, cerebrasDefaultModelId, cerebrasModels } from "@shared/api"
-import { ApiHandler } from "../index"
-import { ApiStream } from "@api/transform/stream"
-
-export class CerebrasHandler implements ApiHandler {
-	private options: ApiHandlerOptions
-	private client: Cerebras
-
-	constructor(options: ApiHandlerOptions) {
-		this.options = options
-
-		// Clean and validate the API key
-		const cleanApiKey = this.options.cerebrasApiKey?.trim()
-
-		if (!cleanApiKey) {
-			throw new Error("Cerebras API key is required")
-		}
-
-		this.client = new Cerebras({
-			apiKey: cleanApiKey,
-			timeout: 30000, // 30 second timeout
-		})
-	}
-
-	@withRetry()
-	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
-		// Convert Anthropic messages to Cerebras format
-		const cerebrasMessages: Array<{
-			role: "system" | "user" | "assistant"
-			content: string
-		}> = [{ role: "system", content: systemPrompt }]
-
-		// Convert Anthropic messages to Cerebras format
-		for (const message of messages) {
-			if (message.role === "user") {
-				const content = Array.isArray(message.content)
-					? message.content
-							.map((block) => {
-								if (block.type === "text") {
-									return block.text
-								} else if (block.type === "image") {
-									return "[Image content not supported in Cerebras]"
-								}
-								return ""
-							})
-							.join("\n")
-					: message.content
-				cerebrasMessages.push({ role: "user", content })
-			} else if (message.role === "assistant") {
-				const content = Array.isArray(message.content)
-					? message.content
-							.map((block) => {
-								if (block.type === "text") {
-									return block.text
-								}
-								return ""
-							})
-							.join("\n")
-					: message.content || ""
-				cerebrasMessages.push({ role: "assistant", content })
-			}
-		}
-
-		try {
-			const stream = await this.client.chat.completions.create({
-				model: this.getModel().id,
-				messages: cerebrasMessages,
-				temperature: 0,
-				stream: true,
-			})
-
-			// Handle streaming response
-			let reasoning: string | null = null // Track reasoning content for models that support thinking
-			const modelId = this.getModel().id
-			const isReasoningModel = modelId.includes("qwen") || modelId.includes("deepseek-r1-distill")
-
-			for await (const chunk of stream as any) {
-				// Type assertion for the streaming chunk
-				const streamChunk = chunk as any
-
-				if (streamChunk.choices?.[0]?.delta?.content) {
-					const content = streamChunk.choices[0].delta.content
-
-					// Handle reasoning models (Qwen and DeepSeek R1 Distill) that use <think> tags
-					if (isReasoningModel) {
-						// Check if we're entering or continuing reasoning mode
-						if (reasoning || content.includes("<think>")) {
-							reasoning = (reasoning || "") + content
-
-							// Clean the content by removing think tags for display
-							let cleanContent = content.replace(/<think>/g, "").replace(/<\/think>/g, "")
-
-							// Only yield reasoning content if there's actual content after cleaning
-							if (cleanContent.trim()) {
-								yield {
-									type: "reasoning",
-									reasoning: cleanContent,
-								}
-							}
-
-							// Check if reasoning is complete
-							if (reasoning.includes("</think>")) {
-								reasoning = null
-							}
-						} else {
-							// Regular content outside of thinking tags
-							yield {
-								type: "text",
-								text: content,
-							}
-						}
-					} else {
-						// Non-reasoning models - just yield text content
-						yield {
-							type: "text",
-							text: content,
-						}
-					}
-				}
-
-				// Handle usage information from Cerebras API
-				// Usage is typically only available in the final chunk
-				if (streamChunk.usage) {
-					const totalCost = this.calculateCost({
-						inputTokens: streamChunk.usage.prompt_tokens || 0,
-						outputTokens: streamChunk.usage.completion_tokens || 0,
-					})
-
-					yield {
-						type: "usage",
-						inputTokens: streamChunk.usage.prompt_tokens || 0,
-						outputTokens: streamChunk.usage.completion_tokens || 0,
-						cacheReadTokens: 0,
-						cacheWriteTokens: 0,
-						totalCost,
-					}
-				}
-			}
-		} catch (error) {
-			throw error
-		}
-	}
-
-	getModel(): { id: string; info: ModelInfo } {
-		const modelId = this.options.apiModelId
-		if (modelId && modelId in cerebrasModels) {
-			const id = modelId as CerebrasModelId
-			return { id, info: cerebrasModels[id] }
-		}
-		return {
-			id: cerebrasDefaultModelId,
-			info: cerebrasModels[cerebrasDefaultModelId],
-		}
-	}
-
-	private calculateCost({ inputTokens, outputTokens }: { inputTokens: number; outputTokens: number }): number {
-		const model = this.getModel()
-		const inputPrice = model.info.inputPrice || 0
-		const outputPrice = model.info.outputPrice || 0
-
-		const inputCost = (inputPrice / 1_000_000) * inputTokens
-		const outputCost = (outputPrice / 1_000_000) * outputTokens
-
-		return inputCost + outputCost
-	}
-}

src/api/providers/cline.ts

@@ -6,7 +6,6 @@ import { createOpenRouterStream } from "../transform/openrouter-stream"
 import { ApiStream, ApiStreamUsageChunk } from "../transform/stream"
 import axios from "axios"
 import { OpenRouterErrorResponse } from "./types"
-import { withRetry } from "../retry"
 
 export class ClineHandler implements ApiHandler {
 	private options: ApiHandlerOptions
@@ -26,12 +25,7 @@ export class ClineHandler implements ApiHandler {
 		})
 	}
 
-	@withRetry()
-	async *createMessage(
-		systemPrompt: string,
-		messages: Anthropic.Messages.MessageParam[],
-		systemPromptCacheOnly: boolean = false,
-	): ApiStream {
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		this.lastGenerationId = undefined
 
 		const stream = await createOpenRouterStream(
@@ -39,7 +33,6 @@ export class ClineHandler implements ApiHandler {
 			systemPrompt,
 			messages,
 			this.getModel(),
-			systemPromptCacheOnly,
 			this.options.reasoningEffort,
 			this.options.thinkingBudgetTokens,
 			this.options.openRouterProviderSorting,

src/api/providers/doubao.ts

@@ -4,7 +4,6 @@ import { Anthropic } from "@anthropic-ai/sdk"
 import OpenAI from "openai"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
-import { withRetry } from "../retry"
 
 export class DoubaoHandler implements ApiHandler {
 	private options: ApiHandlerOptions
@@ -29,7 +28,6 @@ export class DoubaoHandler implements ApiHandler {
 		}
 	}
 
-	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const model = this.getModel()
 		let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [

src/api/providers/gemini.ts

@@ -171,22 +171,8 @@ export class GeminiHandler implements ApiHandler {
 
 				// Gemini doesn't include status codes in their errors
 				// https://github.com/googleapis/js-genai/blob/61f7f27b866c74333ca6331883882489bcb708b9/src/_api_client.ts#L569
-				const rateLimitPatterns = [
-					/got status: 429/i,
-					/429 Too Many Requests/i,
-					/rate limit exceeded/i,
-					/too many requests/i,
-				]
-
-				const isRateLimit =
-					error.name === "ClientError" && rateLimitPatterns.some((pattern) => pattern.test(error.message))
-
-				if (isRateLimit) {
-					const rateLimitError = Object.assign(new Error(error.message), {
-						...error,
-						status: 429,
-					})
-					throw rateLimitError
+				if (error.name === "ClientError" && error.message.includes("got status: 429 Too Many Requests.")) {
+					;(error as any).status = 429
 				}
 			} else {
 				apiError = String(error)

src/api/providers/litellm.ts

@@ -4,7 +4,6 @@ import { ApiHandlerOptions, liteLlmDefaultModelId, liteLlmModelInfoSaneDefaults
 import { ApiHandler } from ".."
 import { ApiStream } from "../transform/stream"
 import { convertToOpenAiMessages } from "../transform/openai-format"
-import { withRetry } from "../retry"
 
 export class LiteLlmHandler implements ApiHandler {
 	private options: ApiHandlerOptions
@@ -52,7 +51,6 @@ export class LiteLlmHandler implements ApiHandler {
 		}
 	}
 
-	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const formattedMessages = convertToOpenAiMessages(messages)
 		const systemMessage: OpenAI.Chat.ChatCompletionSystemMessageParam = {

src/api/providers/lmstudio.ts

@@ -4,7 +4,6 @@ import { ApiHandler } from "../"
 import { ApiHandlerOptions, ModelInfo, openAiModelInfoSaneDefaults } from "@shared/api"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
-import { withRetry } from "../retry"
 
 export class LmStudioHandler implements ApiHandler {
 	private options: ApiHandlerOptions
@@ -18,7 +17,6 @@ export class LmStudioHandler implements ApiHandler {
 		})
 	}
 
-	@withRetry({ retryAllErrors: true })
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
 			{ role: "system", content: systemPrompt },
@@ -29,6 +27,7 @@ export class LmStudioHandler implements ApiHandler {
 			const stream = await this.client.chat.completions.create({
 				model: this.getModel().id,
 				messages: openAiMessages,
+				temperature: 0,
 				stream: true,
 			})
 			for await (const chunk of stream) {
@@ -39,12 +38,6 @@ export class LmStudioHandler implements ApiHandler {
 						text: delta.content,
 					}
 				}
-				if (delta && "reasoning_content" in delta && delta.reasoning_content) {
-					yield {
-						type: "reasoning",
-						reasoning: (delta.reasoning_content as string | undefined) || "",
-					}
-				}
 			}
 		} catch (error) {
 			// LM Studio doesn't return an error code/body for now

src/api/providers/ollama.ts

@@ -80,9 +80,7 @@ export class OllamaHandler implements ApiHandler {
 	getModel(): { id: string; info: ModelInfo } {
 		return {
 			id: this.options.ollamaModelId || "",
-			info: this.options.ollamaApiOptionsCtxNum
-				? { ...openAiModelInfoSaneDefaults, contextWindow: Number(this.options.ollamaApiOptionsCtxNum) || 32768 }
-				: openAiModelInfoSaneDefaults,
+			info: openAiModelInfoSaneDefaults,
 		}
 	}
 }

src/api/providers/openai.ts

@@ -98,10 +98,6 @@ export class OpenAiHandler implements ApiHandler {
 					type: "usage",
 					inputTokens: chunk.usage.prompt_tokens || 0,
 					outputTokens: chunk.usage.completion_tokens || 0,
-					// @ts-ignore-next-line
-					cacheReadTokens: chunk.usage.prompt_tokens_details?.cached_tokens || 0,
-					// @ts-ignore-next-line
-					cacheWriteTokens: chunk.usage.prompt_cache_miss_tokens || 0,
 				}
 			}
 		}

src/api/providers/openrouter.ts

@@ -27,11 +27,7 @@ export class OpenRouterHandler implements ApiHandler {
 	}
 
 	@withRetry()
-	async *createMessage(
-		systemPrompt: string,
-		messages: Anthropic.Messages.MessageParam[],
-		systemPromptCacheOnly: boolean = false,
-	): ApiStream {
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		this.lastGenerationId = undefined
 
 		const stream = await createOpenRouterStream(
@@ -39,7 +35,6 @@ export class OpenRouterHandler implements ApiHandler {
 			systemPrompt,
 			messages,
 			this.getModel(),
-			systemPromptCacheOnly,
 			this.options.reasoningEffort,
 			this.options.thinkingBudgetTokens,
 			this.options.openRouterProviderSorting,

src/api/providers/qwen.ts

@@ -14,7 +14,6 @@ import {
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
 import { convertToR1Format } from "../transform/r1-format"
-import { withRetry } from "../retry"
 
 export class QwenHandler implements ApiHandler {
 	private options: ApiHandlerOptions
@@ -49,41 +48,23 @@ export class QwenHandler implements ApiHandler {
 		}
 	}
 
-	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const model = this.getModel()
 		const isDeepseekReasoner = model.id.includes("deepseek-r1")
-		const isReasoningModelFamily = model.id.includes("qwen3") || ["qwen-plus-latest", "qwen-turbo-latest"].includes(model.id)
-
 		let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
 			{ role: "system", content: systemPrompt },
 			...convertToOpenAiMessages(messages),
 		]
-
-		let temperature: number | undefined = 0
-		// Configuration for extended thinking
-		const budgetTokens = this.options.thinkingBudgetTokens || 0
-		const reasoningOn = budgetTokens !== 0 ? true : false
-		const thinkingArgs = isReasoningModelFamily
-			? {
-					enable_thinking: reasoningOn,
-					thinking_budget: reasoningOn ? budgetTokens : undefined,
-				}
-			: undefined
-
-		if (isDeepseekReasoner || (reasoningOn && isReasoningModelFamily)) {
+		if (isDeepseekReasoner) {
 			openAiMessages = convertToR1Format([{ role: "user", content: systemPrompt }, ...messages])
-			temperature = undefined
 		}
-
 		const stream = await this.client.chat.completions.create({
 			model: model.id,
 			max_completion_tokens: model.info.maxTokens,
 			messages: openAiMessages,
 			stream: true,
 			stream_options: { include_usage: true },
-			temperature,
-			...thinkingArgs,
+			...(model.id === "deepseek-r1" ? {} : { temperature: 0 }),
 		})
 
 		for await (const chunk of stream) {

src/api/providers/vertex.ts

@@ -154,7 +154,7 @@ export class VertexHandler implements ApiHandler {
 		}
 
 		for await (const chunk of stream) {
-			switch (chunk?.type) {
+			switch (chunk.type) {
 				case "message_start":
 					const usage = chunk.message.usage
 					yield {

src/api/providers/vscode-lm.ts

@@ -7,7 +7,6 @@ import { convertToVsCodeLmMessages } from "@api/transform/vscode-lm-format"
 import { SELECTOR_SEPARATOR, stringifyVsCodeLmModelSelector } from "@shared/vsCodeSelectorUtils"
 import { ApiHandlerOptions, ModelInfo, openAiModelInfoSaneDefaults } from "@shared/api"
 import type { LanguageModelChatSelector as LanguageModelChatSelectorFromTypes } from "./types"
-import { withRetry } from "../retry"
 
 // Cline does not update VSCode type definitions or engine requirements to maintain compatibility.
 // This declaration (as seen in src/integrations/TerminalManager.ts) provides types for the Language Model API in newer versions of VSCode.
@@ -407,7 +406,6 @@ export class VsCodeLmHandler implements ApiHandler, SingleCompletionHandler {
 		return content
 	}
 
-	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		// Ensure clean state before starting a new request
 		this.ensureCleanState()

src/api/providers/xai.ts

@@ -5,7 +5,6 @@ import { ApiHandlerOptions, XAIModelId, ModelInfo, xaiDefaultModelId, xaiModels
 import { convertToOpenAiMessages } from "@api/transform/openai-format"
 import { ApiStream } from "@api/transform/stream"
 import { ChatCompletionReasoningEffort } from "openai/resources/chat/completions"
-import { withRetry } from "../retry"
 
 export class XAIHandler implements ApiHandler {
 	private options: ApiHandlerOptions
@@ -19,7 +18,6 @@ export class XAIHandler implements ApiHandler {
 		})
 	}
 
-	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const modelId = this.getModel().id
 		// ensure reasoning effort is either "low" or "high" for grok-3-mini
@@ -60,10 +58,10 @@ export class XAIHandler implements ApiHandler {
 			if (chunk.usage) {
 				yield {
 					type: "usage",
-					inputTokens: chunk.usage.prompt_tokens || 0,
+					inputTokens: 0,
 					outputTokens: chunk.usage.completion_tokens || 0,
 					// @ts-ignore-next-line
-					cacheReadTokens: chunk.usage.prompt_tokens_details?.cached_tokens || 0,
+					cacheReadTokens: chunk.usage.prompt_cache_hit_tokens || 0,
 					// @ts-ignore-next-line
 					cacheWriteTokens: chunk.usage.prompt_cache_miss_tokens || 0,
 				}

src/api/transform/openrouter-stream.ts

@@ -9,7 +9,6 @@ export async function createOpenRouterStream(
 	systemPrompt: string,
 	messages: Anthropic.Messages.MessageParam[],
 	model: { id: string; info: ModelInfo },
-	systemPromptCacheOnly: boolean,
 	reasoningEffort?: string,
 	thinkingBudgetTokens?: number,
 	openRouterProviderSorting?: string,
@@ -56,25 +55,23 @@ export async function createOpenRouterStream(
 			}
 			// Add cache_control to the last two user messages
 			// (note: this works because we only ever add one user message at a time, but if we added multiple we'd need to mark the user message before the last assistant message)
-			if (!systemPromptCacheOnly) {
-				const lastTwoUserMessages = openAiMessages.filter((msg) => msg.role === "user").slice(-2)
-				lastTwoUserMessages.forEach((msg) => {
-					if (typeof msg.content === "string") {
-						msg.content = [{ type: "text", text: msg.content }]
-					}
-					if (Array.isArray(msg.content)) {
-						// NOTE: this is fine since env details will always be added at the end. but if it weren't there, and the user added a image_url type message, it would pop a text part before it and then move it after to the end.
-						let lastTextPart = msg.content.filter((part) => part.type === "text").pop()
+			const lastTwoUserMessages = openAiMessages.filter((msg) => msg.role === "user").slice(-2)
+			lastTwoUserMessages.forEach((msg) => {
+				if (typeof msg.content === "string") {
+					msg.content = [{ type: "text", text: msg.content }]
+				}
+				if (Array.isArray(msg.content)) {
+					// NOTE: this is fine since env details will always be added at the end. but if it weren't there, and the user added a image_url type message, it would pop a text part before it and then move it after to the end.
+					let lastTextPart = msg.content.filter((part) => part.type === "text").pop()
 
-						if (!lastTextPart) {
-							lastTextPart = { type: "text", text: "..." }
-							msg.content.push(lastTextPart)
-						}
-						// @ts-ignore-next-line
-						lastTextPart["cache_control"] = { type: "ephemeral" }
+					if (!lastTextPart) {
+						lastTextPart = { type: "text", text: "..." }
+						msg.content.push(lastTextPart)
 					}
-				})
-			}
+					// @ts-ignore-next-line
+					lastTextPart["cache_control"] = { type: "ephemeral" }
+				}
+			})
 			break
 		default:
 			break
@@ -136,7 +133,7 @@ export async function createOpenRouterStream(
 	}
 
 	// Removes messages in the middle when close to context window limit. Should not be applied to models that support prompt caching since it would continuously break the cache.
-	let shouldApplyMiddleOutTransform = !model.info.supportsPromptCache || systemPromptCacheOnly
+	let shouldApplyMiddleOutTransform = !model.info.supportsPromptCache
 	// except for deepseek (which we set supportsPromptCache to true for), where because the context window is so small our truncation algo might miss and we should use openrouter's middle-out transform as a fallback to ensure we don't exceed the context window (FIXME: once we have a more robust token estimator we should not rely on this)
 	if (model.id === "deepseek/deepseek-chat") {
 		shouldApplyMiddleOutTransform = true

src/core/assistant-message/diff-json.ts

@@ -1,145 +0,0 @@
-import { JSONParser } from "@streamparser/json"
-import * as fs from "fs"
-import * as path from "path"
-import * as os from "os"
-
-// Fallback type definition based on the error message: "Property 'value' is optional in type 'ParsedElementInfo'"
-type ParsedElementInfo = {
-	value?: any
-	key?: string | number
-	parent?: any
-	stack?: any[]
-}
-
-export interface ReplacementItem {
-	old_string: string
-	new_string: string
-}
-
-export interface ChangeLocation {
-	startLine: number
-	endLine: number
-	startChar: number
-	endChar: number
-}
-
-export class StreamingJsonReplacer {
-	private currentFileContent: string
-	private parser: JSONParser
-	private onContentUpdated: (newContent: string, isFinalItem: boolean, changeLocation?: ChangeLocation) => void
-	private onErrorCallback: (error: Error) => void
-	private itemsProcessed: number = 0
-	private successfullyParsedItems: ReplacementItem[] = []
-
-	constructor(
-		initialContent: string,
-		onContentUpdatedCallback: (newContent: string, isFinalItem: boolean, changeLocation?: ChangeLocation) => void,
-		onErrorCallback: (error: Error) => void,
-	) {
-		// Initialize log file path
-		const timestamp = new Date().toISOString().replace(/[:.]/g, "-")
-
-		this.currentFileContent = initialContent
-		this.onContentUpdated = onContentUpdatedCallback
-		this.onErrorCallback = onErrorCallback
-
-		this.parser = new JSONParser({ paths: ["$.*"] })
-
-		this.parser.onValue = (parsedElementInfo: ParsedElementInfo) => {
-			const { value } = parsedElementInfo // Destructure to get value, which might be undefined
-
-			// This callback is triggered for each item matched by '$.replacements.*'
-			if (value && typeof value === "object" && "old_string" in value && "new_string" in value) {
-				const item = value as ReplacementItem // Value here is confirmed to be an object
-				if (typeof item.old_string === "string" && typeof item.new_string === "string") {
-					this.successfullyParsedItems.push(item) // Store the structurally valid item
-
-					if (this.currentFileContent.includes(item.old_string)) {
-						// Calculate the change location before making the replacement
-						const changeLocation = this.calculateChangeLocation(item.old_string, item.new_string)
-
-						const beforeLength = this.currentFileContent.length
-						this.currentFileContent = this.currentFileContent.replace(item.old_string, item.new_string)
-						const afterLength = this.currentFileContent.length
-
-						this.itemsProcessed++
-
-						// Notify that an item has been processed. The `isFinalItem` argument here is tricky
-						// as we don't know from the parser alone if this is the *absolute* last item
-						// until the stream ends. The caller (Task.ts) will manage the final update.
-						// For now, we'll pass `false` and let Task.ts handle the final diff view update.
-						this.onContentUpdated(this.currentFileContent, false, changeLocation)
-					} else {
-						const snippet = item.old_string.length > 50 ? item.old_string.substring(0, 47) + "..." : item.old_string
-						const error = new Error(`Streaming Replacement failed: 'old_string' not found. Snippet: "${snippet}"`)
-						this.onErrorCallback(error) // Call our own error callback
-					}
-				} else {
-					const error = new Error(`Invalid item structure in replacements stream: ${JSON.stringify(item)}`)
-					this.onErrorCallback(error) // Call our own error callback
-				}
-			}
-		}
-
-		this.parser.onError = (err: Error) => {
-			// Propagate the error to the caller via the callback
-			this.onErrorCallback(err)
-			// Note: The @streamparser/json library might throw synchronously on write if onError is not set,
-			// or if it re-throws. We'll ensure Task.ts wraps write/end in try-catch.
-		}
-	}
-
-	public write(jsonChunk: string): void {
-		try {
-			// Errors during write will be caught by the parser's onError or thrown.
-			this.parser.write(jsonChunk)
-		} catch (error) {
-			throw error
-		}
-	}
-
-	public getCurrentContent(): string {
-		return this.currentFileContent
-	}
-
-	public getSuccessfullyParsedItems(): ReplacementItem[] {
-		return [...this.successfullyParsedItems] // Return a copy
-	}
-
-	private calculateChangeLocation(oldStr: string, newStr: string): ChangeLocation {
-		// Find the index where the old string starts
-		const startIndex = this.currentFileContent.indexOf(oldStr)
-
-		if (startIndex === -1) {
-			// This shouldn't happen since we already checked includes(), but just in case
-			return { startLine: 0, endLine: 0, startChar: 0, endChar: 0 }
-		}
-
-		// Calculate line numbers by counting newlines before the start index
-		const contentBeforeStart = this.currentFileContent.substring(0, startIndex)
-
-		const startLine = (contentBeforeStart.match(/\n/g) || []).length
-		// Calculate the end index after replacement
-		const endIndex = startIndex + oldStr.length
-
-		const contentBeforeEnd = this.currentFileContent.substring(0, endIndex)
-
-		const endLine = (contentBeforeEnd.match(/\n/g) || []).length
-		// Calculate character positions within their respective lines
-		const lastNewlineBeforeStart = contentBeforeStart.lastIndexOf("\n")
-		const startChar = lastNewlineBeforeStart === -1 ? startIndex : startIndex - lastNewlineBeforeStart - 1
-
-		const lastNewlineBeforeEnd = contentBeforeEnd.lastIndexOf("\n")
-
-		const endChar = lastNewlineBeforeEnd === -1 ? endIndex : endIndex - lastNewlineBeforeEnd - 1
-
-		const result = {
-			startLine,
-			endLine,
-			startChar,
-			endChar,
-		}
-
-		return result
-	}
-}

src/core/assistant-message/diff.test.ts

@@ -1,9 +1,9 @@
-import { constructNewFileContent as cnfc } from "./diff"
+import { constructNewFileContent as cnfc2 } from "./diff"
 import { describe, it } from "mocha"
 import { expect } from "chai"
 
-async function cnfc2(diffContent: string, originalContent: string, isFinal: boolean): Promise<string> {
-	return cnfc(diffContent, originalContent, isFinal, "v2")
+async function cnfc(diffContent: string, originalContent: string, isFinal: boolean): Promise<string> {
+	return cnfc2(diffContent, originalContent, isFinal, "v1")
 }
 
 describe("constructNewFileContent", () => {
@@ -11,55 +11,55 @@ describe("constructNewFileContent", () => {
 		{
 			name: "empty file",
 			original: "",
-			diff: `------- SEARCH
+			diff: `<<<<<<< SEARCH
 =======
 new content
-+++++++ REPLACE`,
+>>>>>>> REPLACE`,
 			expected: "new content\n",
 			isFinal: true,
 		},
 		{
 			name: "full file replacement",
 			original: "old content",
-			diff: `------- SEARCH
+			diff: `<<<<<<< SEARCH
 =======
 new content
-+++++++ REPLACE`,
+>>>>>>> REPLACE`,
 			expected: "new content\n",
 			isFinal: true,
 		},
 		{
 			name: "exact match replacement",
 			original: "line1\nline2\nline3",
-			diff: `------- SEARCH
+			diff: `<<<<<<< SEARCH
 line2
 =======
 replaced
-+++++++ REPLACE`,
+>>>>>>> REPLACE`,
 			expected: "line1\nreplaced\nline3",
 			isFinal: true,
 		},
 		{
 			name: "line-trimmed match replacement",
 			original: "line1\n line2 \nline3",
-			diff: `------- SEARCH
+			diff: `<<<<<<< SEARCH
 line2
 =======
 replaced
-+++++++ REPLACE`,
+>>>>>>> REPLACE`,
 			expected: "line1\nreplaced\nline3",
 			isFinal: true,
 		},
 		{
 			name: "block anchor match replacement",
 			original: "line1\nstart\nmiddle\nend\nline5",
-			diff: `------- SEARCH
+			diff: `<<<<<<< SEARCH
 start
 middle
 end
 =======
 replaced
-+++++++ REPLACE`,
+>>>>>>> REPLACE`,
 			expected: "line1\nreplaced\nline5",
 			isFinal: true,
 		},
@@ -67,11 +67,11 @@ replaced
 			name: "incremental processing",
 			original: "line1\nline2\nline3",
 			diff: [
-				`------- SEARCH
+				`<<<<<<< SEARCH
 line2
 =======`,
 				"replaced\n",
-				"+++++++ REPLACE",
+				">>>>>>> REPLACE",
 			].join("\n"),
 			expected: "line1\nreplaced\n\nline3",
 			isFinal: true,
@@ -79,60 +79,60 @@ line2
 		{
 			name: "final chunk with remaining content",
 			original: "line1\nline2\nline3",
-			diff: `------- SEARCH
+			diff: `<<<<<<< SEARCH
 line2
 =======
 replaced
-+++++++ REPLACE`,
+>>>>>>> REPLACE`,
 			expected: "line1\nreplaced\nline3",
 			isFinal: true,
 		},
 		{
 			name: "multiple ordered replacements",
 			original: "First\nSecond\nThird\nFourth",
-			diff: `------- SEARCH
+			diff: `<<<<<<< SEARCH
 First
 =======
 1st
-+++++++ REPLACE
+>>>>>>> REPLACE
 
-------- SEARCH
+<<<<<<< SEARCH
 Third
 =======
 3rd
-+++++++ REPLACE`,
+>>>>>>> REPLACE`,
 			expected: "1st\nSecond\n3rd\nFourth",
 			isFinal: true,
 		},
 		{
 			name: "replace then delete",
 			original: "line1\nline2\nline3\nline4",
-			diff: `------- SEARCH
+			diff: `<<<<<<< SEARCH
 line2
 =======
 replaced
-+++++++ REPLACE
+>>>>>>> REPLACE
 
-------- SEARCH
+<<<<<<< SEARCH
 line4
 =======
-+++++++ REPLACE`,
+>>>>>>> REPLACE`,
 			expected: "line1\nreplaced\nline3\n",
 			isFinal: true,
 		},
 		{
 			name: "delete then replace",
 			original: "line1\nline2\nline3\nline4",
-			diff: `------- SEARCH
+			diff: `<<<<<<< SEARCH
 line1
 =======
-+++++++ REPLACE
+>>>>>>> REPLACE
 
-------- SEARCH
+<<<<<<< SEARCH
 line3
 =======
 replaced
-+++++++ REPLACE`,
+>>>>>>> REPLACE`,
 			expected: "line2\nreplaced\nline4",
 			isFinal: true,
 		},
@@ -155,11 +155,11 @@ replaced
 
 	it("should throw error when no match found", async () => {
 		const original = "line1\nline2\nline3"
-		const diff = `------- SEARCH
+		const diff = `<<<<<<< SEARCH
 non-existent
 =======
 replaced
-+++++++ REPLACE`
+>>>>>>> REPLACE`
 
 		try {
 			await cnfc(diff, original, true)
@@ -175,136 +175,4 @@ replaced
 			expect(err).to.be.an("error")
 		}
 	})
-
-	it("should handle missing final REPLACE marker when isFinal is true", async () => {
-		const original = "line1\nline2\nline3"
-		const diff = `------- SEARCH
-line2
-=======
-replaced`
-		// Note: missing +++++++ REPLACE marker
-
-		const result1 = await cnfc(diff, original, true) // isFinal = true
-
-		// Should still work and replace line2 with "replaced"
-		const expected = "line1\nreplaced\nline3"
-
-		expect(result1).to.equal(expected)
-	})
-
-	it("should handle missing final REPLACE marker with multiple lines of replacement", async () => {
-		const original = "function test() {\n\tconst a = 1;\n\treturn a;\n}"
-		const diff = `------- SEARCH
-	const a = 1;
-	return a;
-=======
-	const a = 42;
-	console.log('updated');
-	return a;`
-		// Note: missing +++++++ REPLACE marker
-
-		const result1 = await cnfc(diff, original, true) // isFinal = true
-		const expected = "function test() {\n\tconst a = 42;\n\tconsole.log('updated');\n\treturn a;\n}"
-
-		expect(result1).to.equal(expected)
-	})
-
-	// 	it("should NOT process incomplete replacement when isFinal is false", async () => {
-	// 		const original = "line1\nline2\nline3"
-	// 		const diff = `------- SEARCH
-	// line2
-	// =======
-	// replaced`
-	// 		// Note: missing +++++++ REPLACE marker AND isFinal = false
-
-	// 		const result1 = await cnfc(diff, original, false) // isFinal = false
-
-	// 		// Should not make any changes since the block is incomplete
-	// 		const expected = "line1\nline2\nline3"
-
-	// 		expect(result1).to.equal(expected)
-	// 	})
-})
-
-// Test cases for out-of-order search/replace blocks
-
-describe("Diff Format Out of Order Cases", () => {
-	it("should handle out-of-order replacements with different positions", async () => {
-		const isFinal = true
-		const original = "first\nsecond\nthird\nfourth\n"
-		const diff = `------- SEARCH
-fourth
-=======
-new fourth
-+++++++ REPLACE
-------- SEARCH
-second
-=======
-new second
-+++++++ REPLACE`
-		const result1 = await cnfc(diff, original, isFinal)
-		const expectedResult = "first\nnew second\nthird\nnew fourth\n"
-		expect(result1).to.equal(expectedResult)
-	})
-
-	it("should handle multiple out-of-order replacements", async () => {
-		const isFinal = true
-		const original = "one\ntwo\nthree\nfour\nfive\n"
-		const diff = `------- SEARCH
-four
-=======
-fourth
-+++++++ REPLACE
-------- SEARCH
-two
-=======
-second
-+++++++ REPLACE
-------- SEARCH
-five
-=======
-fifth
-+++++++ REPLACE`
-		const result1 = await cnfc(diff, original, isFinal)
-		const expectedResult = "one\nsecond\nthree\nfourth\nfifth\n"
-		expect(result1).to.equal(expectedResult)
-	})
-
-	it("should handle out-of-order replacements with indentation", async () => {
-		const isFinal = true
-		const original = "function test() {\n\tconst a = 1;\n\tconst b = 2;\n\tconst c = 3;\n\n}"
-		const diff = `------- SEARCH
-	const c = 3;
-=======
-	const c = 30;
-+++++++ REPLACE
-------- SEARCH
-	const a = 1;
-=======
-	const a = 10;
-+++++++ REPLACE`
-		const result1 = await cnfc(diff, original, isFinal)
-		const expectedResult = "function test() {\n\tconst a = 10;\n\tconst b = 2;\n\tconst c = 30;\n\n}"
-		expect(result1).to.equal(expectedResult)
-	})
-
-	it("should handle out-of-order replacements with empty lines", async () => {
-		const isFinal = true
-		const original = "header\n\nbody\n\nfooter\n"
-		const diff = `------- SEARCH
-footer
-=======
-new footer
-+++++++ REPLACE
-------- SEARCH
-
-body
-
-=======
-new body content
-+++++++ REPLACE`
-		const result1 = await cnfc(diff, original, isFinal)
-		const expectedResult = "header\nnew body content\nnew footer\n"
-		expect(result1).to.equal(expectedResult)
-	})
 })

src/core/assistant-message/diff.ts

@@ -1,28 +1,3 @@
-const SEARCH_BLOCK_START = "------- SEARCH"
-const SEARCH_BLOCK_END = "======="
-const REPLACE_BLOCK_END = "+++++++ REPLACE"
-
-const SEARCH_BLOCK_CHAR = "-"
-const REPLACE_BLOCK_CHAR = "+"
-
-// Replace the exact string constants with flexible regex patterns
-const SEARCH_BLOCK_START_REGEX = /^[-]{3,} SEARCH$/
-const SEARCH_BLOCK_END_REGEX = /^[=]{3,}$/
-const REPLACE_BLOCK_END_REGEX = /^[+]{3,} REPLACE$/
-
-// Helper functions to check if a line matches the flexible patterns
-function isSearchBlockStart(line: string): boolean {
-	return SEARCH_BLOCK_START_REGEX.test(line)
-}
-
-function isSearchBlockEnd(line: string): boolean {
-	return SEARCH_BLOCK_END_REGEX.test(line)
-}
-
-function isReplaceBlockEnd(line: string): boolean {
-	return REPLACE_BLOCK_END_REGEX.test(line)
-}
-
 /**
  * Attempts a line-trimmed fallback match for the given search content in the original content.
  * It tries to match `searchContent` lines against a block of lines in `originalContent` starting
@@ -175,11 +150,11 @@ function blockAnchorFallbackMatch(originalContent: string, searchContent: string
  *
  * The diff format is a custom structure that uses three markers to define changes:
  *
- *   ------- SEARCH
+ *   <<<<<<< SEARCH
  *   [Exact content to find in the original file]
  *   =======
  *   [Content to replace with]
- *   +++++++ REPLACE
+ *   >>>>>>> REPLACE
  *
  * Behavior and Assumptions:
  * 1. The file is processed chunk-by-chunk. Each chunk of `diffContent` may contain
@@ -229,7 +204,7 @@ export async function constructNewFileContent(
 	diffContent: string,
 	originalContent: string,
 	isFinal: boolean,
-	version: "v1" | "v2" = "v1",
+	version: "v1" | "v2" = "v2",
 ): Promise<string> {
 	const constructor = constructNewFileContentVersionMapping[version]
 	if (!constructor) {
@@ -246,6 +221,9 @@ const constructNewFileContentVersionMapping: Record<
 	v2: constructNewFileContentV2,
 } as const
 
+/**
+ * @deprecated
+ */
 async function constructNewFileContentV1(diffContent: string, originalContent: string, isFinal: boolean): Promise<string> {
 	let result = ""
 	let lastProcessedIndex = 0
@@ -258,10 +236,6 @@ async function constructNewFileContentV1(diffContent: string, originalContent: s
 	let searchMatchIndex = -1
 	let searchEndIndex = -1
 
-	// Track all replacements to handle out-of-order edits
-	let replacements: Array<{ start: number; end: number; content: string }> = []
-	let pendingOutOfOrderReplacement = false
-
 	let lines = diffContent.split("\n")
 
 	// If the last line looks like a partial marker but isn't recognized,
@@ -269,23 +243,23 @@ async function constructNewFileContentV1(diffContent: string, originalContent: s
 	const lastLine = lines[lines.length - 1]
 	if (
 		lines.length > 0 &&
-		(lastLine.startsWith(SEARCH_BLOCK_CHAR) || lastLine.startsWith("=") || lastLine.startsWith(REPLACE_BLOCK_CHAR)) &&
-		!isSearchBlockStart(lastLine) &&
-		!isSearchBlockEnd(lastLine) &&
-		!isReplaceBlockEnd(lastLine)
+		(lastLine.startsWith("<") || lastLine.startsWith("=") || lastLine.startsWith(">")) &&
+		lastLine !== "<<<<<<< SEARCH" &&
+		lastLine !== "=======" &&
+		lastLine !== ">>>>>>> REPLACE"
 	) {
 		lines.pop()
 	}
 
 	for (const line of lines) {
-		if (isSearchBlockStart(line)) {
+		if (line === "<<<<<<< SEARCH") {
 			inSearch = true
 			currentSearchContent = ""
 			currentReplaceContent = ""
 			continue
 		}
 
-		if (isSearchBlockEnd(line)) {
+		if (line === "=======") {
 			inSearch = false
 			inReplace = true
 
@@ -333,51 +307,31 @@ async function constructNewFileContentV1(diffContent: string, originalContent: s
 						if (blockMatch) {
 							;[searchMatchIndex, searchEndIndex] = blockMatch
 						} else {
-							// Last resort: search the entire file from the beginning
-							const fullFileIndex = originalContent.indexOf(currentSearchContent, 0)
-							if (fullFileIndex !== -1) {
-								// Found in the file - could be out of order
-								searchMatchIndex = fullFileIndex
-								searchEndIndex = fullFileIndex + currentSearchContent.length
-								if (searchMatchIndex < lastProcessedIndex) {
-									pendingOutOfOrderReplacement = true
-								}
-							} else {
-								throw new Error(
-									`The SEARCH block:\n${currentSearchContent.trimEnd()}\n...does not match anything in the file.`,
-								)
-							}
+							throw new Error(
+								`The SEARCH block:\n${currentSearchContent.trimEnd()}\n...does not match anything in the file or was searched out of order in the provided blocks.`,
+							)
 						}
 					}
 				}
 			}
 
-			// Check if this is an out-of-order replacement
-			if (searchMatchIndex < lastProcessedIndex) {
-				pendingOutOfOrderReplacement = true
-			}
-
-			// For in-order replacements, output everything up to the match location
-			if (!pendingOutOfOrderReplacement) {
-				result += originalContent.slice(lastProcessedIndex, searchMatchIndex)
-			}
+			// Output everything up to the match location
+			result += originalContent.slice(lastProcessedIndex, searchMatchIndex)
 			continue
 		}
 
-		if (isReplaceBlockEnd(line)) {
+		if (line === ">>>>>>> REPLACE") {
 			// Finished one replace block
 
-			// Store this replacement
-			replacements.push({
-				start: searchMatchIndex,
-				end: searchEndIndex,
-				content: currentReplaceContent,
-			})
+			// // Remove the artificially added linebreak in the last line of the REPLACE block
+			// if (result.endsWith("\r\n")) {
+			// 	result = result.slice(0, -2)
+			// } else if (result.endsWith("\n")) {
+			// 	result = result.slice(0, -1)
+			// }
 
-			// If this was an in-order replacement, advance lastProcessedIndex
-			if (!pendingOutOfOrderReplacement) {
-				lastProcessedIndex = searchEndIndex
-			}
+			// Advance lastProcessedIndex to after the matched section
+			lastProcessedIndex = searchEndIndex
 
 			// Reset for next block
 			inSearch = false
@@ -386,7 +340,6 @@ async function constructNewFileContentV1(diffContent: string, originalContent: s
 			currentReplaceContent = ""
 			searchMatchIndex = -1
 			searchEndIndex = -1
-			pendingOutOfOrderReplacement = false
 			continue
 		}
 
@@ -398,59 +351,16 @@ async function constructNewFileContentV1(diffContent: string, originalContent: s
 			currentSearchContent += line + "\n"
 		} else if (inReplace) {
 			currentReplaceContent += line + "\n"
-			// Only output replacement lines immediately for in-order replacements
-			if (searchMatchIndex !== -1 && !pendingOutOfOrderReplacement) {
+			// Output replacement lines immediately if we know the insertion point
+			if (searchMatchIndex !== -1) {
 				result += line + "\n"
 			}
 		}
 	}
 
-	// If this is the final chunk, we need to apply all replacements and build the final result
-	if (isFinal) {
-		// Handle the case where we're still in replace mode when processing ends
-		// and this is the final chunk - treat it as if we encountered the REPLACE marker
-		if (inReplace && searchMatchIndex !== -1) {
-			// Store this replacement
-			replacements.push({
-				start: searchMatchIndex,
-				end: searchEndIndex,
-				content: currentReplaceContent,
-			})
-
-			// If this was an in-order replacement, advance lastProcessedIndex
-			if (!pendingOutOfOrderReplacement) {
-				lastProcessedIndex = searchEndIndex
-			}
-
-			// Reset state
-			inSearch = false
-			inReplace = false
-			currentSearchContent = ""
-			currentReplaceContent = ""
-			searchMatchIndex = -1
-			searchEndIndex = -1
-			pendingOutOfOrderReplacement = false
-		}
-		// end of handling missing replace marker
-
-		// Sort replacements by start position
-		replacements.sort((a, b) => a.start - b.start)
-
-		// Rebuild the entire result by applying all replacements
-		result = ""
-		let currentPos = 0
-
-		for (const replacement of replacements) {
-			// Add original content up to this replacement
-			result += originalContent.slice(currentPos, replacement.start)
-			// Add the replacement content
-			result += replacement.content
-			// Move position to after the replaced section
-			currentPos = replacement.end
-		}
-
-		// Add any remaining original content
-		result += originalContent.slice(currentPos)
+	// If this is the final chunk, append any remaining original content
+	if (isFinal && lastProcessedIndex < originalContent.length) {
+		result += originalContent.slice(lastProcessedIndex)
 	}
 
 	return result
@@ -570,7 +480,7 @@ class NewFileContentConstructor {
 		pendingNonStandardLineLimit: number,
 	): number {
 		let removeLineCount = 0
-		if (line === SEARCH_BLOCK_START) {
+		if (line === "<<<<<<< SEARCH") {
 			removeLineCount = this.trimPendingNonStandardTrailingEmptyLines(pendingNonStandardLineLimit)
 			if (removeLineCount > 0) {
 				pendingNonStandardLineLimit = pendingNonStandardLineLimit - removeLineCount
@@ -580,7 +490,7 @@ class NewFileContentConstructor {
 				canWritependingNonStandardLines && (this.pendingNonStandardLines.length = 0)
 			}
 			this.activateSearchState()
-		} else if (line === SEARCH_BLOCK_END) {
+		} else if (line === "=======") {
 			// 校验非标内容
 			if (!this.isSearchingActive()) {
 				this.tryFixSearchBlock(pendingNonStandardLineLimit)
@@ -588,7 +498,7 @@ class NewFileContentConstructor {
 			}
 			this.activateReplaceState()
 			this.beforeReplace()
-		} else if (line === REPLACE_BLOCK_END) {
+		} else if (line === ">>>>>>> REPLACE") {
 			if (!this.isReplacingActive()) {
 				this.tryFixReplaceBlock(pendingNonStandardLineLimit)
 				canWritependingNonStandardLines && (this.pendingNonStandardLines.length = 0)
@@ -611,6 +521,7 @@ class NewFileContentConstructor {
 			} else {
 				let appendToPendingNonStandardLines = canWritependingNonStandardLines
 				if (appendToPendingNonStandardLines) {
+					console.log("unstandard line:" + line)
 					// 处理非标内容
 					this.pendingNonStandardLines.push(line)
 				}
@@ -695,11 +606,11 @@ class NewFileContentConstructor {
 		if (!lineLimit) {
 			throw new Error("Invalid SEARCH/REPLACE block structure - no lines available to process")
 		}
-		let searchTagRegexp = /^[-]{3,} SEARCH$/
+		let searchTagRegexp = /^[<]{3,} SEARCH$/
 		const searchTagIndex = this.findLastMatchingLineIndex(searchTagRegexp, lineLimit)
 		if (searchTagIndex !== -1) {
 			let fixLines = this.pendingNonStandardLines.slice(searchTagIndex, lineLimit)
-			fixLines[0] = SEARCH_BLOCK_START
+			fixLines[0] = "<<<<<<< SEARCH"
 			for (const line of fixLines) {
 				removeLineCount += this.internalProcessLine(line, false, searchTagIndex)
 			}
@@ -727,7 +638,7 @@ class NewFileContentConstructor {
 			// 	removeLineCount += this.tryFixSearchBlock(replaceBeginTagIndex)
 			// }
 			let fixLines = this.pendingNonStandardLines.slice(replaceBeginTagIndex - removeLineCount, lineLimit - removeLineCount)
-			fixLines[0] = SEARCH_BLOCK_END
+			fixLines[0] = "======="
 			for (const line of fixLines) {
 				removeLineCount += this.internalProcessLine(line, false, replaceBeginTagIndex - removeLineCount)
 			}
@@ -746,7 +657,7 @@ class NewFileContentConstructor {
 			throw new Error()
 		}
 
-		let replaceEndTagRegexp = /^[+]{3,} REPLACE$/
+		let replaceEndTagRegexp = /^[>]{3,} REPLACE$/
 		const replaceEndTagIndex = this.findLastMatchingLineIndex(replaceEndTagRegexp, lineLimit)
 		const likeReplaceEndTag = replaceEndTagIndex === lineLimit - 1
 		if (likeReplaceEndTag) {
@@ -755,7 +666,7 @@ class NewFileContentConstructor {
 			// 	removeLineCount += this.tryFixReplaceBlock(replaceEndTagIndex)
 			// }
 			let fixLines = this.pendingNonStandardLines.slice(replaceEndTagIndex - removeLineCount, lineLimit - removeLineCount)
-			fixLines[fixLines.length - 1] = REPLACE_BLOCK_END
+			fixLines[fixLines.length - 1] = ">>>>>>> REPLACE"
 			for (const line of fixLines) {
 				removeLineCount += this.internalProcessLine(line, false, replaceEndTagIndex - removeLineCount)
 			}
@@ -795,10 +706,10 @@ export async function constructNewFileContentV2(diffContent: string, originalCon
 	const lastLine = lines[lines.length - 1]
 	if (
 		lines.length > 0 &&
-		(lastLine.startsWith(SEARCH_BLOCK_CHAR) || lastLine.startsWith("=") || lastLine.startsWith(REPLACE_BLOCK_CHAR)) &&
-		lastLine !== SEARCH_BLOCK_START &&
-		lastLine !== SEARCH_BLOCK_END &&
-		lastLine !== REPLACE_BLOCK_END
+		(lastLine.startsWith("<") || lastLine.startsWith("=") || lastLine.startsWith(">")) &&
+		lastLine !== "<<<<<<< SEARCH" &&
+		lastLine !== "=======" &&
+		lastLine !== ">>>>>>> REPLACE"
 	) {
 		lines.pop()
 	}