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@@ -1,5 +0,0 @@
---
"claude-dev": patch
---
Add environment variable injection to esbuild config
+61 -66
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@@ -1,69 +1,64 @@
name: 🐛 Bug Report
description: File a bug report
labels: ['bug']
labels: ["bug"]
body:
- type: markdown
attributes:
value: |
**Important:** All bug reports must be reproducible using Claude Sonnet 4. Cline uses complex prompts so less capable models may not work as expected.
- type: dropdown
id: plugin-type
attributes:
label: Plugin Type
description: Which plugin are you reporting a bug for?
options:
- VSCode Extension
- JetBrains Plugin
default: 0
validations:
required: true
- type: input
id: cline-version
attributes:
label: Cline Version
description: What version of Cline are you using? (You can find this at the bottom of the Settings view)
placeholder: 'e.g., 1.2.3'
validations:
required: true
- type: textarea
id: what-happened
attributes:
label: What happened?
description: Also tell us, what did you expect to happen?
placeholder: Tell us what you see!
validations:
required: true
- type: textarea
id: steps
attributes:
label: Steps to reproduce
description: How do you trigger this bug? Please walk us through it step by step.
value: |
1.
2.
3.
validations:
required: false
- type: input
id: provider-model
attributes:
label: Provider/Model
description: What provider and model were you using when the issue occurred?
placeholder: 'e.g., cline:anthropic/claude-sonnet-4, gemini:gemini-2.5-pro-exp-03-25'
validations:
required: false
- type: textarea
id: system-info
attributes:
label: System Information
description: What operating system and hardware are you using?
placeholder: |
Operating System: Windows 11, macOS Sonoma, Ubuntu 22.04, etc.
Hardware: CPU, GPU, RAM specifications if relevant
e.g.,
OS: Windows 11
CPU: Intel Core i7-11700K
GPU: NVIDIA GeForce RTX 3070
RAM: 32GB DDR4
validations:
required: false
- type: markdown
attributes:
value: |
**Important:** All bug reports must be reproducible using Claude 4 Sonnet. Cline uses complex prompts so less capable models may not work as expected.
- type: textarea
id: what-happened
attributes:
label: What happened?
description: Also tell us, what did you expect to happen?
placeholder: Tell us what you see!
validations:
required: true
- type: textarea
id: steps
attributes:
label: Steps to reproduce
description: How do you trigger this bug? Please walk us through it step by step.
value: |
1.
2.
3.
validations:
required: false
- type: textarea
id: logs
attributes:
label: Relevant API REQUEST output
description: Please copy and paste any relevant output. This will be automatically formatted into code, so no need for backticks.
render: shell
- type: input
id: provider-model
attributes:
label: Provider/Model
description: What provider and model were you using when the issue occurred?
placeholder: "e.g., cline:anthropic/claude-3.7-sonnet, gemini:gemini-2.5-pro-exp-03-25"
validations:
required: true
- type: textarea
id: system-info
attributes:
label: System Information
description: What operating system and hardware are you using?
placeholder: |
Operating System: Windows 11, macOS Sonoma, Ubuntu 22.04, etc.
Hardware: CPU, GPU, RAM specifications if relevant
e.g.,
OS: Windows 11
CPU: Intel Core i7-11700K
GPU: NVIDIA GeForce RTX 3070
RAM: 32GB DDR4
validations:
required: true
- type: input
id: cline-version
attributes:
label: Cline Version
description: What version of Cline are you using? (You can find this at the bottom of the Settings view)
placeholder: "e.g., 1.2.3"
validations:
required: true
-75
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@@ -1,75 +0,0 @@
name: "Publish Nightly Release"
on:
schedule:
- cron: '0 12 * * *' # 4 AM PST (UTC-8) = 12 UTC
workflow_dispatch:
permissions:
contents: write
packages: write
checks: write
pull-requests: write
jobs:
test:
uses: ./.github/workflows/test.yml
publish:
needs: test
name: Publish Cline (Nightly) Extension
if: github.repository == 'cline/cline'
runs-on: ubuntu-latest
environment: PublishNightly
steps:
- uses: actions/checkout@v4
- name: Check for recent commits
run: |
if [ $(git rev-list --count HEAD --since="24 hours ago") -eq 0 ]; then
echo "No commits in last 24 hours, exiting"
exit 0
fi
echo "Found recent commits, proceeding with build"
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: "lts/*"
# Cache root dependencies - only reuse if package-lock.json exactly matches
- name: Cache root dependencies
uses: actions/cache@v4
id: root-cache
with:
path: node_modules
key: ${{ runner.os }}-npm-${{ hashFiles('package-lock.json') }}
# Cache webview-ui dependencies - only reuse if package-lock.json exactly matches
- name: Cache webview-ui dependencies
uses: actions/cache@v4
id: webview-cache
with:
path: webview-ui/node_modules
key: ${{ runner.os }}-npm-webview-${{ hashFiles('webview-ui/package-lock.json') }}
- name: Install root dependencies
if: steps.root-cache.outputs.cache-hit != 'true'
run: npm ci --include=optional
- name: Install webview-ui dependencies
if: steps.webview-cache.outputs.cache-hit != 'true'
run: cd webview-ui && npm ci --include=optional
- name: Install Publishing Tools
run: npm install -g @vscode/vsce ovsx
- name: Publish Extension as Pre-release
env:
VSCE_PAT: ${{ secrets.VSCE_PAT }}
OVSX_PAT: ${{ secrets.OVSX_PAT }}
TELEMETRY_SERVICE_API_KEY: ${{ secrets.TELEMETRY_SERVICE_API_KEY }}
ERROR_SERVICE_API_KEY: ${{ secrets.ERROR_SERVICE_API_KEY }}
CLINE_ENVIRONMENT: production
run: npm run publish:marketplace:nightly
-2
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@@ -95,8 +95,6 @@ jobs:
VSCE_PAT: ${{ secrets.VSCE_PAT }}
OVSX_PAT: ${{ secrets.OVSX_PAT }}
CLINE_ENVIRONMENT: production
TELEMETRY_SERVICE_API_KEY: ${{ secrets.TELEMETRY_SERVICE_API_KEY }}
ERROR_SERVICE_API_KEY: ${{ secrets.ERROR_SERVICE_API_KEY }}
run: |
# Required to generate the .vsix
vsce package --allow-package-secrets sendgrid --out "cline-${{ steps.get_version.outputs.version }}.vsix"
+1 -1
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@@ -1 +1 @@
lint-staged
lint-staged --no-stash
+3 -3
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@@ -3,13 +3,13 @@
"ts"
],
"spec": [
"src/**/__tests__/*.ts"
"src/**/__tests__/*.ts",
"eslint-rules/__tests__/**/*.test.ts"
],
"require": [
"ts-node/register",
"source-map-support/register",
"./src/test/requires.ts"
],
"recursive": true,
"exit": true
"recursive": true
}
+8 -55
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@@ -12,7 +12,6 @@
"args": [
"--extensionDevelopmentPath=${workspaceFolder}",
"--disable-workspace-trust",
"--disable-extensions", // Avoid conflicts with installed extensions
"${workspaceFolder}"
],
"outFiles": [
@@ -32,7 +31,6 @@
"args": [
"--extensionDevelopmentPath=${workspaceFolder}",
"--disable-workspace-trust",
"--disable-extensions", // Avoid conflicts with installed extensions
"${workspaceFolder}"
],
"outFiles": [
@@ -52,7 +50,6 @@
"args": [
"--extensionDevelopmentPath=${workspaceFolder}",
"--disable-workspace-trust",
"--disable-extensions", // Avoid conflicts with installed extensions
"${workspaceFolder}"
],
"outFiles": [
@@ -74,7 +71,7 @@
"--user-data-dir=${workspaceFolder}/dist/tmp/user",
"--profile-temp",
"--sync=off",
"--disable-extensions", // Avoid conflicts with installed extensions
"--disable-extensions",
"--extensionDevelopmentPath=${workspaceFolder}",
"${workspaceFolder}"
],
@@ -94,7 +91,7 @@
{
"type": "node",
"request": "launch",
"name": "Debug Test Standalone Core Api Server (test:sca-server)",
"name": "Run cline-core service",
"skipFiles": [
"<node_internals>/**"
],
@@ -103,62 +100,18 @@
"${workspaceFolder}/**",
"!**/node_modules/**"
],
"cwd": "${workspaceFolder}",
"cwd": "${workspaceFolder}/dist-standalone",
"outFiles": [
"${workspaceFolder}/dist/**/*.js",
"${workspaceFolder}/dist-standalone/**/*.js"
],
"preLaunchTask": "compile-standalone",
"runtimeExecutable": "npx",
"runtimeArgs": [
"tsx"
],
"program": "scripts/test-standalone-core-api-server.ts",
"env": {
"PROTOBUS_PORT": "26040",
"HOSTBRIDGE_PORT": "26041",
"WORKSPACE_DIR": "${workspaceFolder}",
"E2E_TEST": "true",
"CLINE_ENVIRONMENT": "local"
// Turns on grpc debug log.
//"GRPC_TRACE": "all",
//"GRPC_VERBOSITY": "DEBUG",
"NODE_PATH": "${workspaceFolder}/dist-standalone/node_modules"
},
"console": "integratedTerminal",
"internalConsoleOptions": "neverOpen"
},
{
"type": "node",
"request": "launch",
"name": "Debug Current Test File",
"skipFiles": [
"<node_internals>/**"
],
"sourceMaps": true,
"resolveSourceMapLocations": [
"${workspaceFolder}/**",
"!**/node_modules/**"
],
"cwd": "${workspaceFolder}",
"runtimeExecutable": "npx",
"runtimeArgs": [
"mocha"
],
"args": [
"--require",
"ts-node/register",
"--require",
"source-map-support/register",
"--require",
"./src/test/requires.ts",
"--exit",
"${file}"
],
"env": {
"TS_NODE_PROJECT": "./tsconfig.unit-test.json",
"NODE_ENV": "test",
"IS_DEV": "true",
"CLINE_ENVIRONMENT": "local"
},
"console": "integratedTerminal",
"internalConsoleOptions": "openOnSessionStart"
"program": "cline-core.js"
}
]
}
+11 -6
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@@ -21,11 +21,16 @@
},
// Enable Lint and format using Biome
"biome.enabled": true,
"editor.defaultFormatter": "biomejs.biome",
"editor.codeActionsOnSave": {
"source.fixAll.biome": "explicit",
"source.removeUnused.biome": "always",
"source.removeUnusedImports": "always",
"source.organizeImports.biome": "always"
"[typescript]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[typescriptreact]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[jsonc]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[json]": {
"editor.defaultFormatter": "biomejs.biome"
}
}
-57
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@@ -1,62 +1,5 @@
# Changelog
## [3.28.5]
- Fixed issue with Posthog API key related to telemetry
## [3.28.4]
- Fix bug where some Windows machines had API request hanging
- Fix bug where 'Proceed while running' action button would be disabled after running an interactive command
- Fix prompt cache info not being displayed in History
## [3.28.3]
- Fixed issue with start new task button
- Feature to generate commit message for staged changes, with unstaged as fallback
## [3.28.2]
- Fix for focus chain settings
## [3.28.1]
- Requesty: use base URL to get models and API keys
- Removed focus chain feature flag
## [3.28.0]
- Synchronized Task History: Real-time task history synchronization across all Cline instances
- Optimized GPT-5 Integration: Fine-tuned system prompts for improved performance with GPT-5 model family
- Deep Planning Improvements: Optimized prompts for Windows/PowerShell environments and dependency exclusion
- Streamlined UI Experience: ESC key navigation, cleaner approve/reject buttons, and improved editor panel focus
- Smart Provider Search: Improved search functionality in API provider dropdown for faster model selection
- Added per-provider thinking tokens configurability
- Added Ollama custom prompt options
- Enhanced SAP AI Core Provider: Orchestration mode support and improved model visibility
- Added Dify.ai API Integration
- SambaNova Updates: Added DeepSeek-V3.1 model
- Better Gemini rate limit handling
- OpenAI Reasoning Effort: Minimal reasoning effort configuration for OpenAI models
- Fixed LiteLLM Caching: Anthropic caching compatibility when using LiteLLM
- Fixed Ollama default endpoint connections
- Fixed AutoApprove menu overflow
- Fixed extended thinking token issue with Anthropic models
- Fixed issue with slash commands removing text from prompt
## [3.27.2]
- Remove `grok-code-fast-1` promotion deadline
## [3.27.1]
- Add new Kimi K2 model to groq and moonshot providers
## [3.27.0]
- Fix `grok-code-fast-1` model information
- Add call to action for trying free `grok-code-fast-1` in Announcement banner
## [3.26.7]
- Add 200k context window variant for Claude Sonnet 4 to OpenRouter and Cline providers
+3 -3
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@@ -30,9 +30,9 @@ English | <a href="https://github.com/cline/cline/blob/main/locales/es/README.md
</table>
</div>
Meet Cline, an AI assistant that can use your **CLI** a**N**d **E**ditor.
Meet Cline (pronounced /klaɪn/, like "Klein"), an AI assistant that can use your **CLI** a**N**d **E**ditor.
Thanks to [Claude Sonnet's agentic coding capabilities](https://www.anthropic.com/claude/sonnet), Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.
Thanks to [Claude 3.7 Sonnet's agentic coding capabilities](https://www.anthropic.com/claude/sonnet), Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.
1. Enter your task and add images to convert mockups into functional apps or fix bugs with screenshots.
2. Cline starts by analyzing your file structure & source code ASTs, running regex searches, and reading relevant files to get up to speed in existing projects. By carefully managing what information is added to context, Cline can provide valuable assistance even for large, complex projects without overwhelming the context window.
@@ -87,7 +87,7 @@ All changes made by Cline are recorded in your file's Timeline, providing an eas
### Use the Browser
With Claude Sonnet's new [Computer Use](https://www.anthropic.com/news/3-5-models-and-computer-use) capability, Cline can launch a browser, click elements, type text, and scroll, capturing screenshots and console logs at each step. This allows for interactive debugging, end-to-end testing, and even general web use! This gives him autonomy to fixing visual bugs and runtime issues without you needing to handhold and copy-pasting error logs yourself.
With Claude 3.5 Sonnet's new [Computer Use](https://www.anthropic.com/news/3-5-models-and-computer-use) capability, Cline can launch a browser, click elements, type text, and scroll, capturing screenshots and console logs at each step. This allows for interactive debugging, end-to-end testing, and even general web use! This gives him autonomy to fixing visual bugs and runtime issues without you needing to handhold and copy-pasting error logs yourself.
Try asking Cline to "test the app", and watch as he runs a command like `npm run dev`, launches your locally running dev server in a browser, and performs a series of tests to confirm that everything works. [See a demo here.](https://x.com/sdrzn/status/1850880547825823989)
+3 -11
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@@ -37,8 +37,7 @@
"useYield": "off",
"noConstructorReturn": "off",
"noInvalidPositionAtImportRule": "off",
"noSwitchDeclarations": "off",
"noUnusedImports": "error"
"noSwitchDeclarations": "off"
},
"a11y": "off",
"style": {
@@ -123,8 +122,7 @@
"!**/node_modules/**",
"!**/webview-ui/build/**",
"!**/generated/**",
"!**/proto/**",
"!**/tests/specs/**"
"!**/proto/**"
]
},
"plugins": [
@@ -136,12 +134,7 @@
"**",
"!**/hosts/vscode/**",
"!**/test/**",
"!**/*.test.ts",
"!src/dev/**",
"!src/extension.ts",
"!src/integrations/git/commit-message-generator.ts",
"!src/integrations/terminal/**",
"!src/core/controller/ui/openWalkthrough.ts"
"!src/extension.ts"
],
"plugins": [
"src/dev/grit/vscode-api.grit"
@@ -154,7 +147,6 @@
"!src/core/storage/FileContextTracker.ts",
"!src/core/context/context-tracking/FileContextTracker.ts",
"!src/common.ts",
"!src/services/logging/distinctId.ts",
"!src/core/storage/utils/state-helpers.ts",
"!src/extension.ts"
],
-1
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@@ -60,7 +60,6 @@
"getting-started/what-is-cline",
"getting-started/model-selection-guide",
"getting-started/installing-cline",
"getting-started/installing-cline-jetbrains",
"getting-started/task-management",
"getting-started/understanding-context-management",
{
@@ -56,7 +56,7 @@ Cline is your AI assistant that can:
## Available Tools
For the most up-to-date implementation details, you can view the full source code in the [Cline repository](https://github.com/cline/cline/blob/main/src/core/prompts/system-prompt/tools).
For the most up-to-date implementation details, you can view the full source code in the [Cline repository](https://github.com/cline/cline/blob/main/src/core/Cline.ts).
Cline has access to the following tools for various tasks:
@@ -1,135 +0,0 @@
---
title: "Installing Cline for JetBrains (Early Access)"
description: "Get early access to Cline in your favorite JetBrains IDE with the same powerful AI assistance you know from VSCode."
---
<Frame>
<img
src="https://storage.googleapis.com/cline_public_images/docs/assets/jetbrains-logo.svg"
alt="JetBrains logo"
style={{ width: "200px", height: "auto", margin: "0 auto 20px auto", display: "block" }}
/>
</Frame>
Cline for JetBrains works almost identically to Cline in VSCode. All the core features work properly: diff editing, using tools, logging in with different providers, MCP servers, Cline rules and workflows, and more.
<Frame>
<img
src="https://storage.googleapis.com/cline_public_images/docs/assets/jetbrains-demo-hifi.gif"
alt="Cline running in JetBrains IDE showing AI assistance"
/>
</Frame>
<Note>Cline for JetBrains is in early access. All core features are functional, with ongoing improvements based on user feedback.</Note>
## Installation
As part of our early access program, Cline for JetBrains is available through direct download before its official marketplace release. You'll need to install it manually from a downloaded file:
### Manual Installation from Disk
1. **Download the Plugin:**
- Go to [https://plugins.jetbrains.com/plugin/28247-cline/versions/eap](https://plugins.jetbrains.com/plugin/28247-cline/versions/eap)
- Click **Download** to get the `.zip` file
<Frame>
<img
src="https://storage.googleapis.com/cline_public_images/docs/assets/cline-jetbrains-marketplace-download.png"
alt="JetBrains plugin marketplace showing Cline download page"
/>
</Frame>
2. **Install from Disk:**
- Open your JetBrains IDE
- Go to **IntelliJ IDEA** (or whichever IDE you are in) → **Settings**
<Frame>
<img
src="https://storage.googleapis.com/cline_public_images/docs/assets/cline-jetbrains-settings.png"
alt="JetBrains IDE settings dialog"
/>
</Frame>
- Select **Plugins** from the left sidebar
- Click the gear icon ⚙️ and select **Install Plugin from Disk...**
<Frame>
<img
src="https://storage.googleapis.com/cline_public_images/docs/assets/cline-jetbrains-install-disk.png"
alt="JetBrains IDE settings showing Install Plugin from Disk option"
/>
</Frame>
- Select the downloaded `.zip` file
<Frame>
<img
src="https://storage.googleapis.com/cline_public_images/docs/assets/cline-jetbrains-zip-file.png"
alt="File selection dialog showing Cline plugin zip file"
/>
</Frame>
- Restart your IDE when prompted
## Getting Started with Cline
After installation, you'll find Cline in your IDE:
1. **Open Cline:**
- Look for the Cline tool window (usually on the right side)
- Or go to **View** → **Tool Windows** → **Cline**
2. **Sign In (optional, BYOK is also available):**
- Click **Sign In** in the Cline panel
- You'll be taken to [app.cline.bot](https://app.cline.bot) to create your account
- No credit card needed to get started with free credits
3. **Start Coding:**
- Try this first prompt: "Hey Cline! Can you help me create a simple Hello World program in this project?"
## Key Differences from VSCode
While Cline for JetBrains includes all the same powerful features, there's one important difference to be aware of:
**Terminal Integration:** The terminal inside JetBrains isn't integrated with Cline the same way it is in VSCode. Cline can execute commands, but the output will only appear in the webview if you expand the **Command Output** section.
This means:
- Commands still run successfully
- You can see the output by clicking to expand Command Output in the chat
- Terminal commands work the same way, just with a different display
## What Works
Everything else works exactly like VSCode:
- **Diff Editing:** Cline can read, write, and edit files with the same precision
- **Tool Usage:** All of Cline's tools (file operations, web browsing, etc.) work identically
- **API Providers:** Connect to Anthropic, OpenAI, local models, and more
- **MCP Servers:** Full support for Model Context Protocol servers
- **Cline Rules:** Custom instructions and workflows work the same way
- **@ Mentions:** Reference files, folders, problems, and more
- **Drag & Drop:** Add files and images to conversations
## Tips for JetBrains Users
- **Project Context:** Cline automatically understands your project structure, just like in VSCode
- **Language Support:** Cline works with any language your JetBrains IDE supports
- **Debugging Help:** Share error messages and stack traces directly in the chat
- **Code Review:** Ask Cline to review your code changes before committing
## Troubleshooting
If you don't see the Cline tool window after installation:
- Restart your IDE completely
- Check **View** → **Tool Windows** → **Cline**
- Ensure the plugin is enabled in **Settings** → **Plugins**
Having other issues? Join our [Discord community](https://discord.gg/cline) for help from the team and other users.
## Next Steps
Now that you have Cline installed, you might want to:
- Learn about [model selection](/getting-started/model-selection-guide) to choose the best AI provider
- Explore [@ mentions](/features/at-mentions/overview) to reference files and context efficiently
- Set up [Cline rules](/features/cline-rules) for your specific workflow
- Try [MCP servers](/mcp/mcp-overview) to extend Cline's capabilities
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@@ -1,14 +0,0 @@
// HubSpot Tracking Code for Cline Documentation
;(() => {
// Check if HubSpot script is already loaded to prevent duplicates
if (!document.getElementById("hs-script-loader")) {
var script = document.createElement("script")
script.type = "text/javascript"
script.id = "hs-script-loader"
script.async = true
script.src = "https://js-na2.hs-scripts.com/243656267.js"
// Append the script to the document head
document.head.appendChild(script)
}
})()
+7 -24
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@@ -7,13 +7,12 @@ SAP AI Core and the generative AI hub help you to integrate LLMs and AI into new
**Website:** [SAP Help Portal](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/what-is-sap-ai-core)
### Getting a Service Binding
> 💡 **Information**
>
> SAP AI Core, and Generative AI Hub, are offerings from SAP BTP.
> You need an active SAP BTP contract and a existing subaccount with a SAP AI Core instance with the `extended` service plan (For more details about SAP AI Core service plans and their capabilities, see the [Service Plans documentation](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/service-plans)) to perform these steps.
### Getting a Service Binding
> You need an active SAP BTP contract and a existing subaccount with a SAP AI Core instance to perform these steps.
1. **Access:** Go to your subaccount via [BTP Cloud Cockpit](cockpit.btp.cloud.sap/cockpit)
2. **Create a Service Binding:** Go to "Instances and Subscriptions", select your SAP AI Core service instance and click on Service Bindings > Create.
@@ -33,30 +32,14 @@ Refer to the [Generative AI Hub Supported Models page](https://me.sap.com/notes/
5. **Enter Base URL:** Add the `.serviceurls.AI_API_URL` field from the service binding into the "AI Core Base URL" field.
6. **Enter Auth URL:** Add the `.url` field from the service binding into the "AI Core Auth URL" field.
7. **Enter Resource Group:** Add the resource group where you have your model deployments. See [Create a Deployment for a Generative AI Model](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/create-deployment-for-generative-ai-model-in-sap-ai-core).
8. **Configure Orchestration Mode:** If you have an `extended` service plan, the "Orchestration Mode" checkbox will automatically appear.
9. **Select Model:** Choose your desired model from the "Model" dropdown.
### Orchestration Mode vs Native API
**Orchestration Mode:**
- **Simplified usage:** Provides access to all available models without requiring individual deployments using the [Harmonized API](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/harmonized-api)
**Native API Mode:**
- **Manual deployments:** Requires manual model deployment and management in your SAP AI Core service instance
8. **Select Model:** Choose your desired model from the "Model" dropdown.
### Tips and Notes
- **Service Plan Requirement:** You must have the SAP AI Core `extended` service plan to use LLMs with Cline. Other service plans do not provide access to Generative AI Hub.
- **Orchestration Mode (Recommended):** Keep Orchestration Mode enabled for the simplest setup. It provides automatic access to all available models without requiring manual deployments.
- **Native API Mode:** Only disable Orchestration Mode if you have specific requirements that necessitate direct AI Core API access or need features not supported by the orchestration mode.
- **When using Native API Mode:**
- **Model Selection:** The model dropdown displays models in two separate lists:
- **Deployed Models:** These models are already deployed in your specified resource group and are ready to use immediately.
- **Not Deployed Models:** These models don't have active deployments in your specified resource group. You won't be able to use these models until you create deployments for them in SAP AI Core.
- **Creating Deployments:** To use a model that has not been deployed yet, you'll need to create a deployment in your SAP AI Core service instance. See [Create a Deployment for a Generative AI Model](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/create-deployment-for-generative-ai-model-in-sap-ai-core) for instructions.
- **Model Selection:** The model dropdown displays models in two separate lists:
- **Deployed Models:** These models are already deployed in your specified resource group and are ready to use immediately.
- **Not Deployed Models:** These models don't have active deployments in your specified resource group. You won't be able to use these models until you create deployments for them in SAP AI Core.
- **Creating Deployments:** To use a not deployed model, you'll need to create a deployment in your resource group in sap ai core service instance. See [Create a Deployment for a Generative AI Model](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/create-deployment-for-generative-ai-model-in-sap-ai-core) for instructions.
#### Configuring Reasoning Effort for OpenAI Models
-38
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@@ -49,44 +49,6 @@ All models feature:
4. **Enter API Key:** Paste your Z AI API key into the "Z AI API Key" field.
5. **Select Model:** Choose your desired model from the "Model" dropdown.
### GLM Coding Plans
Z AI offers subscription plans specifically designed for coding applications. These plans provide cost-effective access to GLM-4.5 models through a prompt-based structure rather than traditional API usage billing.
#### Plan Options
**GLM Coding Lite** - $3/month
- 120 prompts per 5-hour cycle
- Access to GLM-4.5 model
- Works exclusively through coding tools like Cline
**GLM Coding Pro** - $15/month
- 600 prompts per 5-hour cycle
- Access to GLM-4.5 model
- Works exclusively through coding tools like Cline
Both plans offer promotional pricing for the first month: Lite drops from \$6 to \$3, Pro drops from \$30 to \$15.
<Frame>
<img src="https://storage.googleapis.com/cline_public_images/docs/assets/zAI-coding-plan.png" alt="zAI subscription page showing GLM Coding Lite and Pro plans with pricing" />
</Frame>
#### Setting up GLM Coding Plans
To use the GLM Coding Plans with Cline:
1. **Subscribe:** Go to [https://z.ai/subscribe](https://z.ai/subscribe) and choose your plan.
2. **Create API Key:** After subscribing, log into your zAI dashboard and create an API key for your coding plan.
3. **Configure in Cline:** Open Cline settings, select "Z AI" as your provider, and paste your API key into the "Z AI API Key" field.
<Frame>
<img src="https://storage.googleapis.com/cline_public_images/docs/assets/zAI-provider.png" alt="Cline settings with zAI provider selected and API key field highlighted" />
</Frame>
The setup connects your subscription directly to Cline, giving you access to GLM-4.5's tool-calling capabilities optimized for coding workflows.
### Z AI's Hybrid Intelligence
Z AI's GLM-4.5 series introduces revolutionary capabilities that set it apart from conventional language models:
+3 -12
View File
@@ -130,16 +130,7 @@ const baseConfig = {
sourcemap: !production,
logLevel: "silent",
define: production
? {
"import.meta.url": "_importMetaUrl",
"process.env.IS_DEV": JSON.stringify(!production),
...(process.env.TELEMETRY_SERVICE_API_KEY && process.env.ERROR_SERVICE_API_KEY
? {
"process.env.TELEMETRY_SERVICE_API_KEY": JSON.stringify(process.env.TELEMETRY_SERVICE_API_KEY),
"process.env.ERROR_SERVICE_API_KEY": JSON.stringify(process.env.ERROR_SERVICE_API_KEY),
}
: {}),
}
? { "import.meta.url": "_importMetaUrl", "process.env.IS_DEV": JSON.stringify(!production) }
: { "import.meta.url": "_importMetaUrl" },
tsconfig: path.resolve(__dirname, "tsconfig.json"),
plugins: [
@@ -169,9 +160,9 @@ const standaloneConfig = {
...baseConfig,
entryPoints: ["src/standalone/cline-core.ts"],
outfile: `${destDir}/cline-core.js`,
// These modules need to load files from the module directory at runtime,
// These gRPC protos need to load files from the module directory at runtime,
// so they cannot be bundled.
external: ["vscode", "@grpc/reflection", "grpc-health-check", "better-sqlite3"],
external: ["vscode", "@grpc/reflection", "grpc-health-check"],
}
// E2E build script configuration
+2 -3
View File
@@ -1,6 +1,5 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { ToolParamName } from "../../src/core/assistant-message"
import { ClineDefaultTool } from "../../src/shared/tools"
import { ToolUseName, ToolParamName } from "../../src/core/assistant-message"
export interface InputMessage {
role: "user" | "assistant"
@@ -89,7 +88,7 @@ export interface TestResult {
}
export interface ExtractedToolCall {
name: ClineDefaultTool
name: ToolUseName
input: Partial<Record<ToolParamName, string>>
}
+65 -467
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File diff suppressed because it is too large Load Diff
+15 -17
View File
@@ -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": "3.28.5",
"version": "3.26.7",
"icon": "assets/icons/icon.png",
"engines": {
"vscode": "^1.84.0"
@@ -102,8 +102,15 @@
"activitybar": [
{
"id": "claude-dev-ActivityBar",
"title": "Cline",
"icon": "assets/icons/icon.svg"
"title": "Cline (⌘+')",
"icon": "assets/icons/icon.svg",
"when": "isMac"
},
{
"id": "claude-dev-ActivityBar",
"title": "Cline (Ctrl+')",
"icon": "assets/icons/icon.svg",
"when": "!isMac"
}
]
},
@@ -341,9 +348,7 @@
"package": "npm run check-types && npm run build:webview && npm run lint && node esbuild.mjs --production",
"protos": "node scripts/build-proto.mjs",
"postprotos": "biome format src/shared/proto src/core/controller src/hosts/ webview-ui/src/services src/generated --write --no-errors-on-unmatched",
"clean:build": "rimraf dist dist-standalone webview-ui/build src/generated out/",
"clean:deps": "rimraf node_modules webview-ui/node_modules",
"clean:all": "npm run clean:build && npm run clean:deps",
"clean": "rimraf dist dist-standalone webview-ui/build src/generated out/",
"compile-tests": "node ./scripts/build-tests.js",
"watch-tests": "tsc -p . -w --outDir out",
"check-types": "npm run protos && npx tsc --noEmit && cd webview-ui && npx tsc -b --noEmit",
@@ -357,18 +362,15 @@
"test:integration": "vscode-test",
"test:unit": "TS_NODE_PROJECT='./tsconfig.unit-test.json' mocha",
"test:coverage": "vscode-test --coverage",
"test:sca-server": "npx tsx watch scripts/test-standalone-core-api-server.ts",
"test:tp-orchestrator": "npx tsx scripts/testing-platform-orchestrator.ts",
"e2e": "playwright test -c playwright.config.ts",
"test:e2e": "playwright install && vsce package --allow-package-secrets sendgrid --out dist/e2e.vsix && node src/test/e2e/utils/build.mjs && playwright test",
"test:e2e:optimal": "vsce package --allow-package-secrets sendgrid --out dist/e2e.vsix && node src/test/e2e/utils/build.mjs && playwright test",
"test:e2e": "playwright install && vsce package --no-dependencies --allow-package-secrets sendgrid --out dist/e2e.vsix && node src/test/e2e/utils/build.mjs && playwright test",
"test:e2e:optimal": "vsce package --no-dependencies --allow-package-secrets sendgrid --out dist/e2e.vsix && node src/test/e2e/utils/build.mjs && playwright test",
"install:all": "npm install && cd webview-ui && npm install",
"dev:webview": "cd webview-ui && npm run dev",
"build:webview": "cd webview-ui && npm run build",
"test:webview": "cd webview-ui && npm run test",
"publish:marketplace": "vsce publish --allow-package-secrets sendgrid && ovsx publish",
"publish:marketplace:prerelease": "vsce publish --allow-package-secrets sendgrid --pre-release && ovsx publish --pre-release",
"publish:marketplace:nightly": "node ./scripts/publish-nightly.mjs",
"prepare": "husky",
"changeset": "changeset",
"version-packages": "changeset version",
@@ -386,7 +388,6 @@
"@biomejs/biome": "^2.1.4",
"@bufbuild/buf": "^1.54.0",
"@changesets/cli": "^2.27.12",
"@types/better-sqlite3": "^7.6.13",
"@types/chai": "^5.0.1",
"@types/clone-deep": "^4.0.4",
"@types/diff": "^5.2.1",
@@ -410,7 +411,6 @@
"lint-staged": "^16.1.0",
"minimatch": "^3.0.3",
"npm-run-all": "^4.1.5",
"prebuild-install": "^7.1.3",
"protoc-gen-ts": "^0.8.7",
"proxyquire": "^2.1.3",
"rimraf": "^6.0.1",
@@ -429,7 +429,7 @@
"@bufbuild/protobuf": "^2.2.5",
"@cerebras/cerebras_cloud_sdk": "^1.35.0",
"@google-cloud/vertexai": "^1.9.3",
"@google/genai": "^1.11.0",
"@google/genai": "1.0.0",
"@grpc/grpc-js": "^1.9.15",
"@grpc/reflection": "^1.0.4",
"@mistralai/mistralai": "^1.5.0",
@@ -441,8 +441,6 @@
"@opentelemetry/sdk-trace-node": "^1.30.1",
"@opentelemetry/semantic-conventions": "^1.30.0",
"@playwright/test": "^1.53.2",
"@sap-ai-sdk/ai-api": "^1.17.0",
"@sap-ai-sdk/orchestration": "^1.17.0",
"@sentry/browser": "^9.12.0",
"@streamparser/json": "^0.0.22",
"@types/uuid": "^10.0.0",
@@ -479,7 +477,7 @@
"p-timeout": "^6.1.4",
"p-wait-for": "^5.0.2",
"pdf-parse": "^1.1.1",
"posthog-node": "^5.8.0",
"posthog-node": "^4.8.1",
"puppeteer-chromium-resolver": "^23.0.0",
"puppeteer-core": "^23.4.0",
"reconnecting-eventsource": "^1.6.4",
+6 -1
View File
@@ -2,7 +2,6 @@ syntax = "proto3";
package cline;
import "cline/common.proto";
import "cline/state.proto";
option java_package = "bot.cline.proto";
option java_multiple_files = true;
@@ -11,6 +10,7 @@ service BrowserService {
rpc testBrowserConnection(StringRequest) returns (BrowserConnection);
rpc discoverBrowser(EmptyRequest) returns (BrowserConnection);
rpc getDetectedChromePath(EmptyRequest) returns (ChromePath);
rpc updateBrowserSettings(UpdateBrowserSettingsRequest) returns (Boolean);
rpc relaunchChromeDebugMode(EmptyRequest) returns (String);
}
@@ -31,6 +31,11 @@ message ChromePath {
bool is_bundled = 2;
}
message Viewport {
int32 width = 1;
int32 height = 2;
}
message BrowserSettings {
Viewport viewport = 1;
optional string remote_browser_host = 2;
+6
View File
@@ -8,16 +8,19 @@ message Metadata {
}
message EmptyRequest {
Metadata metadata = 1;
}
message Empty {
}
message StringRequest {
Metadata metadata = 1;
string value = 2;
}
message StringArrayRequest {
Metadata metadata = 1;
repeated string value = 2;
}
@@ -26,6 +29,7 @@ message String {
}
message Int64Request {
Metadata metadata = 1;
int64 value = 2;
}
@@ -34,6 +38,7 @@ message Int64 {
}
message BytesRequest {
Metadata metadata = 1;
bytes value = 2;
}
@@ -42,6 +47,7 @@ message Bytes {
}
message BooleanRequest {
Metadata metadata = 1;
bool value = 2;
}
+48 -69
View File
@@ -32,7 +32,7 @@ service ModelsService {
// Refreshes and returns Baseten models
rpc refreshBasetenModels(EmptyRequest) returns (OpenRouterCompatibleModelInfo);
// Fetches available models from SAP AI Core
rpc getSapAiCoreModels(SapAiCoreModelsRequest) returns (SapAiCoreModelsResponse);
rpc getSapAiCoreModels(SapAiCoreModelsRequest) returns (StringArray);
}
// List of VS Code LM models
@@ -50,20 +50,20 @@ message LanguageModelChatSelector {
// Price tier for tiered pricing models
message PriceTier {
int64 token_limit = 1; // Upper limit (inclusive) of input tokens for this price
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 int64 max_budget = 1; // Max allowed thinking budget tokens
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 {
int64 context_window = 1;
int32 context_window = 1;
optional double input_price = 2;
optional double output_price = 3;
optional double cache_writes_price = 4;
@@ -108,19 +108,6 @@ message SapAiCoreModelsRequest {
string resource_group = 6;
}
// SAP AI Core model with deployment information
message SapAiCoreModelDeployment {
string model_name = 1;
string deployment_id = 2;
}
// Response for SAP AI Core models with orchestration availability
message SapAiCoreModelsResponse {
repeated SapAiCoreModelDeployment deployments = 1;
bool orchestration_available = 2;
}
// Request for updating API configuration
message UpdateApiConfigurationRequest {
Metadata metadata = 1;
@@ -163,13 +150,12 @@ enum ApiProvider {
ZAI = 31;
VERCEL_AI_GATEWAY = 32;
QWEN_CODE = 33;
DIFY = 34;
}
// Model info for OpenAI-compatible models
message OpenAiCompatibleModelInfo {
optional int64 max_tokens = 1;
optional int64 context_window = 2;
optional int32 max_tokens = 1;
optional int32 context_window = 2;
optional bool supports_images = 3;
bool supports_prompt_cache = 4;
optional double input_price = 5;
@@ -186,8 +172,8 @@ message OpenAiCompatibleModelInfo {
// Model info for LiteLLM models
message LiteLLMModelInfo {
optional int64 max_tokens = 1;
optional int64 context_window = 2;
optional int32 max_tokens = 1;
optional int32 context_window = 2;
optional bool supports_images = 3;
bool supports_prompt_cache = 4;
optional double input_price = 5;
@@ -239,8 +225,8 @@ message ModelsApiConfiguration {
optional string requesty_base_url = 33;
optional string together_api_key = 34;
optional string fireworks_api_key = 35;
optional int64 fireworks_model_max_completion_tokens = 36;
optional int64 fireworks_model_max_tokens = 37;
optional int32 fireworks_model_max_completion_tokens = 36;
optional int32 fireworks_model_max_tokens = 37;
optional string qwen_api_key = 38;
optional string doubao_api_key = 39;
optional string mistral_api_key = 40;
@@ -252,35 +238,32 @@ message ModelsApiConfiguration {
optional string xai_api_key = 46;
optional string sambanova_api_key = 47;
optional string cerebras_api_key = 48;
optional int64 request_timeout_ms = 49;
optional int32 request_timeout_ms = 49;
optional string sap_ai_core_client_id = 50;
optional string sap_ai_core_client_secret = 51;
optional string sap_ai_resource_group = 52;
optional string sap_ai_core_token_url = 53;
optional string sap_ai_core_base_url = 54;
optional bool sap_ai_core_use_orchestration_mode = 55;
optional string moonshot_api_key = 56;
optional string moonshot_api_line = 57;
optional string aws_authentication = 58;
optional string aws_bedrock_api_key = 59;
optional string cline_account_id = 60;
optional string groq_api_key = 61;
optional string hugging_face_api_key = 62;
optional string huawei_cloud_maas_api_key = 63;
optional string baseten_api_key = 64;
optional string ollama_api_key = 65;
optional string zai_api_key = 66;
optional string zai_api_line = 67;
optional string lm_studio_max_tokens = 68;
optional string vercel_ai_gateway_api_key = 69;
optional string qwen_code_oauth_path = 70;
optional string dify_api_key = 71;
optional string dify_base_url = 72;
optional string moonshot_api_key = 55;
optional string moonshot_api_line = 56;
optional string aws_authentication = 57;
optional string aws_bedrock_api_key = 58;
optional string cline_account_id = 59;
optional string groq_api_key = 60;
optional string hugging_face_api_key = 61;
optional string huawei_cloud_maas_api_key = 62;
optional string baseten_api_key = 63;
optional string ollama_api_key = 64;
optional string zai_api_key = 65;
optional string zai_api_line = 66;
optional string lm_studio_max_tokens = 67;
optional string vercel_ai_gateway_api_key = 68;
optional string qwen_code_oauth_path = 69;
// Plan mode configurations
optional ApiProvider plan_mode_api_provider = 100;
optional string plan_mode_api_model_id = 101;
optional int64 plan_mode_thinking_budget_tokens = 102;
optional int32 plan_mode_thinking_budget_tokens = 102;
optional string plan_mode_reasoning_effort = 103;
optional LanguageModelChatSelector plan_mode_vs_code_lm_model_selector = 104;
optional bool plan_mode_aws_bedrock_custom_selected = 105;
@@ -298,23 +281,21 @@ message ModelsApiConfiguration {
optional string plan_mode_together_model_id = 117;
optional string plan_mode_fireworks_model_id = 118;
optional string plan_mode_sap_ai_core_model_id = 119;
optional string plan_mode_sap_ai_core_deployment_id = 120;
optional string plan_mode_groq_model_id = 121;
optional OpenRouterModelInfo plan_mode_groq_model_info = 122;
optional string plan_mode_hugging_face_model_id = 123;
optional OpenRouterModelInfo plan_mode_hugging_face_model_info = 124;
optional string plan_mode_huawei_cloud_maas_model_id = 125;
optional OpenRouterModelInfo plan_mode_huawei_cloud_maas_model_info = 126;
optional string plan_mode_baseten_model_id = 127;
optional OpenRouterModelInfo plan_mode_baseten_model_info = 128;
optional string plan_mode_vercel_ai_gateway_model_id = 129;
optional OpenRouterModelInfo plan_mode_vercel_ai_gateway_model_info = 130;
optional string plan_mode_groq_model_id = 120;
optional OpenRouterModelInfo plan_mode_groq_model_info = 121;
optional string plan_mode_hugging_face_model_id = 122;
optional OpenRouterModelInfo plan_mode_hugging_face_model_info = 123;
optional string plan_mode_huawei_cloud_maas_model_id = 124;
optional OpenRouterModelInfo plan_mode_huawei_cloud_maas_model_info = 125;
optional string plan_mode_baseten_model_id = 126;
optional OpenRouterModelInfo plan_mode_baseten_model_info = 127;
optional string plan_mode_vercel_ai_gateway_model_id = 128;
optional OpenRouterModelInfo plan_mode_vercel_ai_gateway_model_info = 129;
// Act mode configurations
optional ApiProvider act_mode_api_provider = 200;
optional string act_mode_api_model_id = 201;
optional int64 act_mode_thinking_budget_tokens = 202;
optional int32 act_mode_thinking_budget_tokens = 202;
optional string act_mode_reasoning_effort = 203;
optional LanguageModelChatSelector act_mode_vs_code_lm_model_selector = 204;
optional bool act_mode_aws_bedrock_custom_selected = 205;
@@ -332,18 +313,16 @@ message ModelsApiConfiguration {
optional string act_mode_together_model_id = 217;
optional string act_mode_fireworks_model_id = 218;
optional string act_mode_sap_ai_core_model_id = 219;
optional string act_mode_sap_ai_core_deployment_id = 220;
optional string act_mode_groq_model_id = 221;
optional OpenRouterModelInfo act_mode_groq_model_info = 222;
optional string act_mode_hugging_face_model_id = 223;
optional OpenRouterModelInfo act_mode_hugging_face_model_info = 224;
optional string act_mode_huawei_cloud_maas_model_id = 225;
optional OpenRouterModelInfo act_mode_huawei_cloud_maas_model_info = 226;
optional string act_mode_baseten_model_id = 227;
optional OpenRouterModelInfo act_mode_baseten_model_info = 228;
optional string act_mode_vercel_ai_gateway_model_id = 229;
optional OpenRouterModelInfo act_mode_vercel_ai_gateway_model_info = 230;
optional string act_mode_groq_model_id = 220;
optional OpenRouterModelInfo act_mode_groq_model_info = 221;
optional string act_mode_hugging_face_model_id = 222;
optional OpenRouterModelInfo act_mode_hugging_face_model_info = 223;
optional string act_mode_huawei_cloud_maas_model_id = 224;
optional OpenRouterModelInfo act_mode_huawei_cloud_maas_model_info = 225;
optional string act_mode_baseten_model_id = 226;
optional OpenRouterModelInfo act_mode_baseten_model_info = 227;
optional string act_mode_vercel_ai_gateway_model_id = 228;
optional OpenRouterModelInfo act_mode_vercel_ai_gateway_model_info = 229;
repeated string favorited_model_ids = 300;
}
+1 -20
View File
@@ -8,6 +8,7 @@ service StateService {
rpc getLatestState(EmptyRequest) returns (State);
rpc updateTerminalConnectionTimeout(UpdateTerminalConnectionTimeoutRequest) returns (UpdateTerminalConnectionTimeoutResponse);
rpc updateTerminalReuseEnabled(BooleanRequest) returns (Empty);
rpc updateDefaultTerminalProfile(StringRequest) returns (TerminalProfileUpdateResponse);
rpc getAvailableTerminalProfiles(EmptyRequest) returns (TerminalProfiles);
rpc subscribeToState(EmptyRequest) returns (stream State);
rpc toggleFavoriteModel(StringRequest) returns (Empty);
@@ -55,7 +56,6 @@ enum OpenaiReasoningEffort {
LOW = 0;
MEDIUM = 1;
HIGH = 2;
MINIMAL = 3;
}
enum McpDisplayMode {
@@ -106,16 +106,6 @@ message TelemetrySettingRequest {
TelemetrySettingEnum setting = 2;
}
// Browser settings for UpdateSettingsRequest
message BrowserSettingsUpdate {
optional Viewport viewport = 1;
optional string remote_browser_host = 2;
optional bool remote_browser_enabled = 3;
optional string chrome_executable_path = 4;
optional bool disable_tool_use = 5;
optional string custom_args = 6;
}
// Message for updating settings
message UpdateSettingsRequest {
Metadata metadata = 1;
@@ -136,8 +126,6 @@ message UpdateSettingsRequest {
optional FocusChainSettings focus_chain_settings = 17;
optional bool use_auto_condense = 18;
optional string custom_prompt = 19;
optional BrowserSettingsUpdate browser_settings = 20;
optional string default_terminal_profile = 21;
}
// Complete API Configuration message
@@ -206,8 +194,6 @@ message ApiConfiguration {
optional string lm_studio_max_tokens = 61;
optional string vercel_ai_gateway_api_key = 62;
optional string qwen_code_oauth_path = 63;
optional string dify_api_key = 64;
optional string dify_base_url = 65;
// Plan mode configurations
optional string plan_mode_api_provider = 100;
@@ -280,11 +266,6 @@ message FocusChainSettings {
int32 remind_cline_interval = 2;
}
message Viewport {
int32 width = 1;
int32 height = 2;
}
message UpdateTerminalConnectionTimeoutResponse {
optional int32 timeout_ms = 1;
}
-30
View File
@@ -17,20 +17,7 @@ service EnvService {
// Returns a stable machine identifier for telemetry distinctId purposes.
rpc getMachineId(cline.EmptyRequest) returns (cline.String);
// Returns the name and version of the host IDE or environment.
rpc getHostVersion(cline.EmptyRequest) returns (GetHostVersionResponse);
// Returns the URI scheme for URIs that will redirect to the host environment.
// e.g. vscode, idea, pycharm, etc. If the host does not support URIs it should
// return an empty uriScheme.
rpc getUriScheme(cline.EmptyRequest) returns (GetUriSchemeResponse);
// Returns the telemetry settings of the host environment. This may return UNSUPPORTED
// if the host does not specify telemetry settings for the plugin.
rpc getTelemetrySettings(cline.EmptyRequest) returns (GetTelemetrySettingsResponse);
// Returns events when the telemetry settings change.
rpc subscribeToTelemetrySettings(cline.EmptyRequest) returns (stream TelemetrySettingsEvent);
}
message GetHostVersionResponse {
@@ -39,20 +26,3 @@ message GetHostVersionResponse {
// The version of the host platform, e.g. 1.103.0
optional string version = 2;
}
enum Setting {
UNSUPPORTED = 0; // This host does not support this setting.
ENABLED = 1;
DISABLED = 2;
}
message GetTelemetrySettingsResponse {
Setting is_enabled = 1;
}
message TelemetrySettingsEvent {
Setting is_enabled = 1;
}
message GetUriSchemeResponse {
string uri_scheme = 1;
}
+36
View File
@@ -0,0 +1,36 @@
syntax = "proto3";
package host;
option java_package = "bot.cline.host.proto";
option java_multiple_files = true;
import "cline/common.proto";
/**
* The watch service is only here as example of a streaming rpc in the host bridge.
* This being replaced with a native JS file watcher.
*/
// 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
}
+4
View File
@@ -4,6 +4,8 @@ package host;
option java_package = "bot.cline.host.proto";
option java_multiple_files = true;
import "cline/common.proto";
// Provides methods for working with IDE windows and editors.
service WindowService {
// Opens a text document in the IDE editor and returns editor information.
@@ -38,6 +40,7 @@ service WindowService {
}
message ShowTextDocumentRequest {
cline.Metadata metadata = 1;
string path = 2;
optional ShowTextDocumentOptions options = 3;
}
@@ -56,6 +59,7 @@ message TextEditorInfo {
}
message ShowOpenDialogueRequest {
cline.Metadata metadata = 1;
optional bool can_select_many = 2;
optional string open_label = 3;
optional ShowOpenDialogueFilterOption filters = 4;
+2 -7
View File
@@ -18,15 +18,14 @@ service WorkspaceService {
// Get diagnostics from the workspace.
rpc getDiagnostics(GetDiagnosticsRequest) returns (GetDiagnosticsResponse);
// Returns workspace items (files/folders) matching a query for mention autocomplete
rpc searchWorkspaceItems(SearchWorkspaceItemsRequest) returns (SearchWorkspaceItemsResponse);
// Makes the problems panel/pane visible in the IDE and focuses it.
rpc openProblemsPanel(OpenProblemsPanelRequest) returns (OpenProblemsPanelResponse);
// Opens the IDE file explorer panel and selects a file or directory.
rpc openInFileExplorerPanel(OpenInFileExplorerPanelRequest) returns (OpenInFileExplorerPanelResponse);
// Opens and focuses the Cline sidebar panel in the host IDE.
rpc openClineSidebarPanel(OpenClineSidebarPanelRequest) returns (OpenClineSidebarPanelResponse);
}
message GetWorkspacePathsRequest {
@@ -87,7 +86,3 @@ message OpenInFileExplorerPanelRequest {
string path = 1;
}
message OpenInFileExplorerPanelResponse {}
// Request/response for opening the Cline sidebar
message OpenClineSidebarPanelRequest {}
message OpenClineSidebarPanelResponse {}
+49 -2
View File
@@ -10,6 +10,7 @@ import * as path from "path"
import { rmrf } from "./file-utils.mjs"
import { main as generateHostBridgeClient } from "./generate-host-bridge-client.mjs"
import { main as generateProtoBusSetup } from "./generate-protobus-setup.mjs"
import { loadProtoDescriptorSet } from "./proto-utils.mjs"
const require = createRequire(import.meta.url)
const PROTOC = path.join(require.resolve("grpc-tools"), "../bin/protoc")
@@ -30,13 +31,14 @@ const TS_PROTO_OPTIONS = [
"esModuleInterop=true",
"outputServices=generic-definitions", // output generic ServiceDefinitions
"outputIndex=true", // output an index file for each package which exports all protos in the package.
"useOptionals=none", // scalar and message fields are required unless they are marked as optional.
"useOptionals=messages", // Message fields are optional, scalars are not.
"useDate=false", // Timestamp fields will not be automatically converted to Date.
]
async function main() {
await cleanup()
await compileProtos()
await checkProtos()
await generateProtoBusSetup()
await generateHostBridgeClient()
}
@@ -57,7 +59,7 @@ async function compileProtos() {
tsProtoc(TS_OUT_DIR, protoFiles, TS_PROTO_OPTIONS)
// grpc-js is used to generate service impls for the ProtoBus service.
tsProtoc(GRPC_JS_OUT_DIR, protoFiles, ["outputServices=grpc-js", ...TS_PROTO_OPTIONS])
tsProtoc(GRPC_JS_OUT_DIR, protoFiles, ["outputServices=grpc-js,outputClientImpl=false", ...TS_PROTO_OPTIONS])
// nice-js is used for the Host Bridge client impls because it uses promises.
tsProtoc(NICE_JS_OUT_DIR, protoFiles, ["outputServices=nice-grpc,useExactTypes=false", ...TS_PROTO_OPTIONS])
@@ -185,6 +187,51 @@ function checkAppleSiliconCompatibility() {
}
}
const int64TypeNames = ["TYPE_INT64", "TYPE_UINT64", "TYPE_SINT64", "TYPE_FIXED64", "TYPE_SFIXED64"]
async function checkProtos() {
const proto = await loadProtoDescriptorSet()
const int64Fields = []
for (const [packageName, packageDef] of Object.entries(proto)) {
for (const [messageName, def] of Object.entries(packageDef)) {
// Skip service definitions
if (def && typeof def === "object" && "service" in def) {
continue
}
// Check message fields
if (def && def.type && def.type.field) {
for (const field of def.type.field) {
if (int64TypeNames.includes(field.type)) {
const name = `${packageName}.${messageName}.${field.name}`
int64Fields.push({
name: name,
type: field.type,
})
}
}
}
}
}
if (int64Fields.length > 0) {
console.log(chalk.yellow(`\nWarning: Found ${int64Fields.length} fields using 64-bit integer types`))
for (const field of int64Fields) {
const typeNames = {
TYPE_INT64: "int64",
TYPE_UINT64: "uint64",
TYPE_SINT64: "sint64",
TYPE_FIXED64: "fixed64",
TYPE_SFIXED64: "sfixed64",
}
log_verbose(chalk.yellow(` - ${field.name} (${typeNames[field.type]})`))
}
log_verbose(chalk.yellow("\nWARNING: 64-bit integer fields detected in proto definitions"))
log_verbose(chalk.yellow("JavaScript cannot safely represent integers larger than 2^53-1 (Number.MAX_SAFE_INTEGER)."))
log_verbose(chalk.yellow("Consider using string representation for large numbers or implementing BigInt support.\n"))
}
}
function log_verbose(s) {
if (process.argv.includes("-v") || process.argv.includes("--verbose")) {
console.log(s)
+21 -87
View File
@@ -6,102 +6,40 @@ import fs from "fs"
import { cp } from "fs/promises"
import { glob } from "glob"
import minimatch from "minimatch"
import os from "os"
import path from "path"
import { rmrf } from "./file-utils.mjs"
const BUILD_DIR = "dist-standalone"
const BINARIES_DIR = `${BUILD_DIR}/binaries`
const RUNTIME_DEPS_DIR = "standalone/runtime-files"
const IS_DEBUG_BUILD = process.env.IS_DEBUG_BUILD === "true"
// This should match the node version packaged with the JetBrains plugin.
const TARGET_NODE_VERSION = "22.15.0"
const TARGET_PLATFORMS = [
{ platform: "win32", arch: "x64", targetDir: "win-x64" },
{ platform: "darwin", arch: "x64", targetDir: "darwin-x64" },
{ platform: "darwin", arch: "arm64", targetDir: "darwin-arm64" },
{ platform: "linux", arch: "x64", targetDir: "linux-x64" },
]
const SUPPORTED_BINARY_MODULES = ["better-sqlite3"]
const UNIVERSAL_BUILD = !process.argv.includes("-s")
const IS_VERBOSE = process.argv.includes("-v") || process.argv.includes("--verbose")
async function main() {
await installNodeDependencies()
if (UNIVERSAL_BUILD) {
console.log("Building universal package for all platforms...")
await packageAllBinaryDeps()
} else {
console.log(`Building package for ${os.platform()}-${os.arch()}...`)
}
await zipDistribution()
}
async function installNodeDependencies() {
// Clean modules from any previous builds
await rmrf(path.join(BUILD_DIR, "node_modules"))
await rmrf(path.join(BINARIES_DIR))
await cpr(RUNTIME_DEPS_DIR, BUILD_DIR)
console.log("Running npm install in distribution directory...")
execSync("npm install", { stdio: "inherit", cwd: BUILD_DIR })
const cwd = process.cwd()
process.chdir(BUILD_DIR)
// Move the vscode directory into node_modules.
// It can't be installed using npm because it will create a symlink which cannot be unzipped correctly on windows.
fs.renameSync(`${BUILD_DIR}/vscode`, `${BUILD_DIR}/node_modules/vscode`)
}
/**
* Downloads prebuilt binaries for each platform for the modules that include binaries. It uses `npx prebuild-install`
* to download the binary.
*
* The modules are downloaded to dist-standalone/binaries/{os}-{platform}/.
* When cline-core is installed, the installer should use the correct module for the current platform.
*/
async function packageAllBinaryDeps() {
// Check for native .node modules.
const allNativeModules = await glob("**/*.node", { cwd: path.join(BUILD_DIR, "node_modules"), nodir: true })
const isAllowed = (path) => SUPPORTED_BINARY_MODULES.some((allowed) => path.includes(allowed))
const blocked = allNativeModules.filter((x) => !isAllowed(x))
if (blocked.length > 0) {
console.error(`Error: Native node modules cannot be included in the standalone distribution:\n\n${blocked.join("\n")}`)
console.error(
"\nThese modules must support prebuilt-install and be added to the supported list in scripts/package-standalone.mjs",
)
try {
execSync("npm install", { stdio: "inherit" })
// Move the vscode directory into node_modules.
// It can't be installed using npm because it will create a symlink which cannot be unzipped correctly on windows.
fs.renameSync("vscode", path.join("node_modules", "vscode"))
} catch (error) {
console.error("Error during setup:", error)
process.exit(1)
} finally {
process.chdir(cwd)
}
for (const module of SUPPORTED_BINARY_MODULES) {
console.log(`Installing binaries for ${module}...`)
const src = path.join(BUILD_DIR, "node_modules", module)
if (!fs.existsSync(src)) {
console.warn(`Warning: Trying to install binaries for the module '${module}', but it is not being used by cline.`)
continue
}
for (const { platform, arch, targetDir } of TARGET_PLATFORMS) {
const binaryDir = `${BINARIES_DIR}/${targetDir}/node_modules`
fs.mkdirSync(binaryDir, { recursive: true })
// Copy the module from the build dir
const dest = path.join(binaryDir, module)
await cpr(src, dest)
// Download the binary libs
const v = IS_VERBOSE ? "--verbose" : ""
const cmd = `npx prebuild-install --platform=${platform} --arch=${arch} --target=${TARGET_NODE_VERSION} ${v}`
log_verbose(`${module}: ${cmd}`)
execSync(cmd, { cwd: dest, stdio: "inherit" })
log_verbose("")
}
// Remove the original module with the host platform binaries installed directly into node_modules.
log_verbose(`Cleaning up host version of ${module}`)
await rmrf(src)
log_verbose("")
// Check for native .node modules.
const nativeModules = await glob("**/*.node", { cwd: BUILD_DIR, nodir: true })
if (nativeModules.length > 0) {
console.error("Native node modules cannot be included in the standalone distribution:\n", nativeModules.join("\n"))
process.exit(1)
}
}
@@ -109,13 +47,10 @@ async function zipDistribution() {
// Zip the build directory (excluding any pre-existing output zip).
const zipPath = path.join(BUILD_DIR, "standalone.zip")
const output = fs.createWriteStream(zipPath)
const startTime = Date.now()
const archive = archiver("zip", { zlib: { level: 6 } })
const archive = archiver("zip", { zlib: { level: 3 } })
output.on("close", () => {
const endTime = Date.now()
const duration = (endTime - startTime) / 1000
console.log(`Created ${zipPath} (${(archive.pointer() / 1024 / 1024).toFixed(1)} MB) in ${duration.toFixed(2)} seconds`)
console.log(`Created ${zipPath} (${(archive.pointer() / 1024 / 1024).toFixed(1)} MB)`)
})
archive.on("warning", (err) => {
console.warn(`Warning: ${err}`)
@@ -138,7 +73,7 @@ async function zipDistribution() {
// Add the whole cline directory under "extension", except the for the ignored files.
archive.directory(process.cwd(), "extension", (entry) => {
if (isIgnored(entry.name)) {
//log_verbose("Ignoring", entry.name)
log_verbose("Ignoring", entry.name)
return false
}
return entry
@@ -210,7 +145,7 @@ function createIsIgnored(standaloneIgnores) {
let allIgnore = [...defaultIgnore, ...expandedIgnore, ...standaloneIgnores]
// Map files need to be included in the debug build. Remove .map ignores when IS_DEBUG_BUILD is set
if (IS_DEBUG_BUILD) {
if (process.env.IS_DEBUG_BUILD) {
allIgnore = allIgnore.filter((pattern) => !pattern.endsWith(".map"))
console.log("Debug build: Including .map files in package")
}
@@ -232,7 +167,6 @@ function createIsIgnored(standaloneIgnores) {
/* cp -r */
async function cpr(source, dest) {
log_verbose(`Copying ${source} -> ${dest}`)
await cp(source, dest, {
recursive: true,
preserveTimestamps: true,
@@ -241,7 +175,7 @@ async function cpr(source, dest) {
}
function log_verbose(...args) {
if (IS_VERBOSE) {
if (process.argv.includes("-v") || process.argv.includes("--verbose")) {
console.log(...args)
}
}
-377
View File
@@ -1,377 +0,0 @@
#!/usr/bin/env node
/**
* Nightly publish script for VS Code extension
* Converts package.json to testing version, packages, publishes, and restores
*
* This script:
* 1. Backs up the original package.json
* 2. Updates package.json with:
* - New version (major.minor.timestamp format)
* - Changes name to "cline-nightly"
* - Changes displayName to "Cline (Nightly)"
* 3. Packages the extension as a .vsix file
* 4. Publishes to VS Code Marketplace (if VSCE_PAT is set)
* 5. Publishes to OpenVSX Registry (if OVSX_PAT is set)
* 6. Restores the original package.json
*
* Usage:
* npm run publish:marketplace:nightly
* npm run publish:marketplace:nightly -- --dry-run
*
* Environment variables:
* VSCE_PAT - Personal Access Token for VS Code Marketplace
* OVSX_PAT - Personal Access Token for OpenVSX Registry
*
* Dependencies:
* - vsce (VS Code Extension Manager)
* - ovsx (OpenVSX CLI)
*/
import { execFileSync, execSync } from "node:child_process"
import fs from "node:fs"
import path from "node:path"
import { fileURLToPath } from "node:url"
// Get __dirname equivalent in ES modules
const __filename = fileURLToPath(import.meta.url)
const __dirname = path.dirname(__filename)
// ANSI color codes for console output
const colors = {
reset: "\x1b[0m",
red: "\x1b[31m",
green: "\x1b[32m",
yellow: "\x1b[33m",
}
// Logging utilities
const log = {
info: (msg) => console.log(`${colors.green}[INFO]${colors.reset} ${msg}`),
warn: (msg) => console.log(`${colors.yellow}[WARN]${colors.reset} ${msg}`),
error: (msg) => console.error(`${colors.red}[ERROR]${colors.reset} ${msg}`),
}
// Configuration
const config = {
// The name and display name for the nightly version
nightlyName: "cline-nightly",
nightlyDisplayName: "Cline (Nightly)",
projectRoot: path.join(__dirname, ".."),
get packageJsonPath() {
return path.join(this.projectRoot, "package.json")
},
get packageBackupPath() {
return path.join(this.projectRoot, "package.json.backup")
},
get distDir() {
return path.join(this.projectRoot, "dist")
},
get vsixPath() {
return path.join(this.distDir, "cline-nightly.vsix")
},
}
// Utility class for managing the publish process
class NightlyPublisher {
constructor() {
this.originalPackageJson = null
this.hasBackup = false
}
/**
* Check if required dependencies are installed
*/
checkDependencies() {
const dependencies = [
{ name: "vsce", check: "vsce --version" },
{ name: "npx", check: "npx --version" },
]
const missing = []
for (const dep of dependencies) {
try {
execSync(dep.check, { stdio: "ignore" })
} catch {
missing.push(dep.name)
}
}
if (missing.length > 0) {
throw new Error(
`Missing required dependencies: ${missing.join(", ")}. Please install them before running this script.`,
)
}
log.info("All dependencies are installed")
}
/**
* Check if a command exists
*/
commandExists(command) {
try {
execSync(`which ${command}`, { stdio: "ignore" })
return true
} catch {
return false
}
}
/**
* Create backup of package.json
*/
backupPackageJson() {
if (!fs.existsSync(config.packageJsonPath)) {
throw new Error(`package.json not found at ${config.packageJsonPath}`)
}
log.info("Backing up original package.json")
this.originalPackageJson = fs.readFileSync(config.packageJsonPath, "utf-8")
fs.writeFileSync(config.packageBackupPath, this.originalPackageJson)
this.hasBackup = true
}
/**
* Restore original package.json
*/
restorePackageJson() {
if (this.hasBackup && fs.existsSync(config.packageBackupPath)) {
log.info("Restoring original package.json")
fs.writeFileSync(config.packageJsonPath, this.originalPackageJson)
fs.unlinkSync(config.packageBackupPath)
this.hasBackup = false
}
}
/**
* Generate new version with timestamp
* Format: major.minor.timestamp
*/
generateVersion(currentVersion) {
// Extract major.minor from current version (e.g., "3.27.1" -> "3.27")
const versionParts = currentVersion.split(".")
if (versionParts.length < 2) {
throw new Error(`Invalid version format: ${currentVersion}`)
}
const major = versionParts[0]
const minor = versionParts[1]
const timestamp = Math.floor(Date.now() / 1000)
return `${major}.${minor}.${timestamp}`
}
/**
* Update package.json with nightly configuration
*/
updatePackageJson() {
// Replace any occurrences cline. or claude-dev with nightly name
const rawContent = fs.readFileSync(config.packageJsonPath, "utf-8")
const content = rawContent.replaceAll("claude-dev", config.nightlyName).replaceAll('"cline.', `"${config.nightlyName}.`)
const pkg = JSON.parse(content)
const currentVersion = pkg.version
if (!currentVersion) {
throw new Error("Could not read version from package.json")
}
log.info(`Current version: ${currentVersion}`)
const newVersion = this.generateVersion(currentVersion)
log.info(`New version: ${newVersion}`)
// Update package.json fields
pkg.version = newVersion
pkg.name = config.nightlyName
pkg.displayName = config.nightlyDisplayName
pkg.contributes.viewsContainers.activitybar.title = config.nightlyDisplayName
// Save updated package.json
log.info("Updating package.json for nightly build")
fs.writeFileSync(config.packageJsonPath, JSON.stringify(pkg, null, "\t"))
return newVersion
}
/**
* Package the extension
*/
packageExtension() {
// Ensure dist directory exists
if (!fs.existsSync(config.distDir)) {
fs.mkdirSync(config.distDir, { recursive: true })
}
log.info("Packaging extension")
const args = ["package", "--pre-release", "--no-update-package-json", "--no-git-tag-version", "--out", config.vsixPath]
try {
execFileSync("vsce", args, {
stdio: "inherit",
cwd: config.projectRoot,
})
log.info(`Package created: ${config.vsixPath}`)
} catch (error) {
throw new Error(`Failed to package extension: ${error.message}`)
}
}
/**
* Publish to VS Code Marketplace
*/
publishToVSCodeMarketplace() {
const token = process.env.VSCE_PAT
if (!token) {
log.warn("VSCE_PAT not set, skipping VS Code Marketplace publish")
return false
}
log.info("Publishing to VS Code Marketplace")
const args = ["publish", "--pre-release", "--no-git-tag-version", "--packagePath", config.vsixPath]
try {
execFileSync("vsce", args, {
env: { ...process.env, VSCE_PAT: token },
stdio: "inherit",
cwd: config.projectRoot,
})
log.info("Successfully published to VS Code Marketplace")
return true
} catch (error) {
throw new Error(`Failed to publish to VS Code Marketplace: ${error.message}`)
}
}
/**
* Publish to OpenVSX Registry
*/
publishToOpenVSX() {
const token = process.env.OVSX_PAT
if (!token) {
log.warn("OVSX_PAT not set, skipping OpenVSX Registry publish")
return false
}
log.info("Publishing to OpenVSX Registry")
const args = ["ovsx", "publish", "--pre-release", "--packagePath", config.vsixPath, "--pat", token]
try {
execFileSync("npx", args, {
stdio: "inherit",
cwd: config.projectRoot,
})
log.info("Successfully published to OpenVSX Registry")
return true
} catch (error) {
throw new Error(`Failed to publish to OpenVSX Registry: ${error.message}`)
}
}
/**
* Main execution flow
*/
async run(isDryRun = false) {
try {
log.info(`Starting nightly publish process${isDryRun ? " (dry run)" : ""}`)
// Step 1: Check dependencies
this.checkDependencies()
// Step 2: Backup package.json
this.backupPackageJson()
// Step 3: Update package.json
const newVersion = this.updatePackageJson()
// Step 4: Package extension
this.packageExtension()
// Step 5: Publish to marketplaces (skip if dry run)
let vsCodePublished = false
let openVSXPublished = false
if (isDryRun) {
log.info("Dry run mode: Skipping marketplace publishing")
} else {
vsCodePublished = this.publishToVSCodeMarketplace()
openVSXPublished = this.publishToOpenVSX()
}
// Summary
log.info(`Nightly publish process completed successfully${isDryRun ? " (dry run)" : ""}`)
log.info(`Package created for v${newVersion}: ${config.vsixPath}`)
if (!isDryRun && !vsCodePublished && !openVSXPublished) {
log.warn("Extension was packaged but not published to any marketplace")
log.warn("Set VSCE_PAT and/or OVSX_PAT environment variables to enable publishing")
}
} catch (error) {
log.error(`Publish failed: ${error.message}`)
process.exit(1)
} finally {
// Always restore package.json
this.restorePackageJson()
}
}
}
// Handle cleanup on process exit
const publisher = new NightlyPublisher()
process.on("exit", () => {
publisher.restorePackageJson()
})
process.on("SIGINT", () => {
log.info("\nInterrupted, cleaning up...")
publisher.restorePackageJson()
process.exit(130)
})
process.on("SIGTERM", () => {
log.info("\nTerminated, cleaning up...")
publisher.restorePackageJson()
process.exit(143)
})
// Parse command line arguments
const args = process.argv.slice(2)
const isDryRun = args.includes("--dry-run") || args.includes("-n")
const showHelp = args.includes("--help") || args.includes("-h")
if (showHelp) {
console.log(`
Nightly publish script for VS Code extension
Usage:
npm run publish:marketplace:nightly [options]
Options:
--dry-run, -n Run without actually publishing (package only)
--help, -h Show this help message
Environment variables:
VSCE_PAT Personal Access Token for VS Code Marketplace
OVSX_PAT Personal Access Token for OpenVSX Registry
Examples:
npm run publish:marketplace:nightly # Full publish
npm run publish:marketplace:nightly -- --dry-run # Package only
VSCE_PAT="token" npm run publish:marketplace:nightly # Publish to VS Code only
`)
process.exit(0)
}
// Run the publisher
publisher.run(isDryRun).catch((error) => {
log.error(error.message)
process.exit(1)
})
+9 -20
View File
@@ -3,11 +3,7 @@ import * as grpc from "@grpc/grpc-js"
import { ReflectionService } from "@grpc/reflection"
import * as health from "grpc-health-check"
import * as os from "os"
import { type DiffServiceServer, DiffServiceService } from "../src/generated/grpc-js/host/diff"
import { type EnvServiceServer, EnvServiceService } from "../src/generated/grpc-js/host/env"
import { type TestingServiceServer, TestingServiceService } from "../src/generated/grpc-js/host/testing"
import { type WindowServiceServer, WindowServiceService } from "../src/generated/grpc-js/host/window"
import { type WorkspaceServiceServer, WorkspaceServiceService } from "../src/generated/grpc-js/host/workspace"
import { host } from "src/generated/grpc-js/index"
import { getPackageDefinition } from "./proto-utils.mjs"
export async function startTestHostBridgeServer() {
@@ -18,11 +14,11 @@ export async function startTestHostBridgeServer() {
healthImpl.addToServer(server)
// Add host bridge services using the mock implementations
server.addService(WorkspaceServiceService, createMockService<WorkspaceServiceServer>("WorkspaceService"))
server.addService(WindowServiceService, createMockService<WindowServiceServer>("WindowService"))
server.addService(EnvServiceService, createMockService<EnvServiceServer>("EnvService"))
server.addService(DiffServiceService, createMockService<DiffServiceServer>("DiffService"))
server.addService(TestingServiceService, createMockService<TestingServiceServer>("TestingService"))
server.addService(host.WorkspaceServiceService, createMockService<host.WorkspaceServiceServer>("WorkspaceService"))
server.addService(host.WindowServiceService, createMockService<host.WindowServiceServer>("WindowService"))
server.addService(host.EnvServiceService, createMockService<host.EnvServiceServer>("EnvService"))
server.addService(host.DiffServiceService, createMockService<host.DiffServiceServer>("DiffService"))
server.addService(host.WatchServiceService, createMockService<host.WatchServiceServer>("WatchService"))
// Load package definition for reflection service
const packageDefinition = await getPackageDefinition()
@@ -62,9 +58,8 @@ function createMockService<T extends grpc.UntypedServiceImplementation>(serviceN
// Special cases that need specific return values
switch (prop) {
case "getWorkspacePaths":
const workspaceDir = process.env.TEST_HOSTBRIDGE_WORKSPACE_DIR || "/test-workspace"
callback(null, {
paths: [workspaceDir],
paths: ["/test-workspace"],
})
return
@@ -74,12 +69,6 @@ function createMockService<T extends grpc.UntypedServiceImplementation>(serviceN
})
return
case "getTelemetrySettings":
callback(null, {
isEnabled: 2, // Setting.DISABLED
})
return
case "clipboardReadText":
callback(null, {
value: "",
@@ -126,8 +115,8 @@ function createMockService<T extends grpc.UntypedServiceImplementation>(serviceN
})
return
// For streaming methods (like subscribeToTelemetrySettings)
case "subscribeToTelemetrySettings":
// For streaming methods (like subscribeToFile)
case "subscribeToFile":
// Just end the stream immediately
call.end()
return
-178
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@@ -1,178 +0,0 @@
#!/usr/bin/env npx tsx
/**
* Simple Cline gRPC Server
*
* This script provides a minimal way to run the Cline core gRPC service
* without requiring the full installation, while automatically mocking all external services. Simply run:
*
* # One-time setup (generates protobuf files)
* npm run compile-standalone
* npm run test:sca-server
*
* The following components are started automatically:
* 1. HostBridge test server
* 2. ClineApiServerMock (mock implementation of the Cline API)
* 3. AuthServiceMock (activated if E2E_TEST="true")
*
* Environment Variables for Customization:
* PROJECT_ROOT - Override project root directory (default: parent of scripts dir)
* CLINE_DIST_DIR - Override distribution directory (default: PROJECT_ROOT/dist-standalone)
* CLINE_CORE_FILE - Override core file name (default: cline-core.js)
* PROTOBUS_PORT - gRPC server port (default: 26040)
* HOSTBRIDGE_PORT - HostBridge server port (default: 26041)
* WORKSPACE_DIR - Working directory (default: current directory)
* E2E_TEST - Enable E2E test mode (default: true)
* CLINE_ENVIRONMENT - Environment setting (default: local)
*
* Ideal for local development, testing, or lightweight E2E scenarios.
*/
import { mkdtempSync, rmSync } from "node:fs"
import * as os from "node:os"
import { ChildProcess, execSync, spawn } from "child_process"
import * as fs from "fs"
import * as path from "path"
import { ClineApiServerMock } from "../src/test/e2e/fixtures/server/index"
// Configuration
const PROTOBUS_PORT = process.env.PROTOBUS_PORT || "26040"
const HOSTBRIDGE_PORT = process.env.HOSTBRIDGE_PORT || "26041"
const WORKSPACE_DIR = process.env.WORKSPACE_DIR || process.cwd()
const E2E_TEST = process.env.E2E_TEST || "true"
const CLINE_ENVIRONMENT = process.env.CLINE_ENVIRONMENT || "local"
// Locate the standalone build directory and core file with flexible path resolution
const projectRoot = process.env.PROJECT_ROOT || path.resolve(__dirname, "..")
const distDir = process.env.CLINE_DIST_DIR || path.join(projectRoot, "dist-standalone")
const clineCoreFile = process.env.CLINE_CORE_FILE || "cline-core.js"
const coreFile = path.join(distDir, clineCoreFile)
async function main(): Promise<void> {
console.log("Starting Simple Cline gRPC Server...")
console.log(`Workspace: ${WORKSPACE_DIR}`)
console.log(`ProtoBus Port: ${PROTOBUS_PORT}`)
console.log(`HostBridge Port: ${HOSTBRIDGE_PORT}`)
console.log(`Looking for standalone build at: ${coreFile}`)
if (!fs.existsSync(coreFile)) {
console.error(`Standalone build not found at: ${coreFile}`)
console.error("Available environment variables for customization:")
console.error(" PROJECT_ROOT - Override project root directory")
console.error(" CLINE_DIST_DIR - Override distribution directory")
console.error(" CLINE_CORE_FILE - Override core file name")
console.error("")
console.error("To build the standalone version, run: npm run compile-standalone")
process.exit(1)
}
try {
await ClineApiServerMock.startGlobalServer()
console.log("Cline API Server started in-process")
} catch (error) {
console.error("Failed to start Cline API Server:", error)
process.exit(1)
}
// Create temporary directories like e2e tests
const userDataDir = mkdtempSync(path.join(os.tmpdir(), "vsce"))
const extensionsDir = mkdtempSync(path.join(os.tmpdir(), "vsce"))
const clineTestWorkspace = mkdtempSync(path.join(os.tmpdir(), "cline-test-workspace-"))
// Start hostbridge test server in background.
// We run it as a child process to emulate how the extension currently operates
console.log("Starting HostBridge test server...")
const hostbridge: ChildProcess = spawn("npx", ["tsx", path.join(__dirname, "test-hostbridge-server.ts")], {
stdio: "pipe",
detached: false,
env: {
...process.env,
TEST_HOSTBRIDGE_WORKSPACE_DIR: clineTestWorkspace,
},
})
console.log(`Temp user data dir: ${userDataDir}`)
console.log(`Temp extensions dir: ${extensionsDir}`)
// Extract standalone.zip to the extensions directory
const standaloneZipPath = path.join(distDir, "standalone.zip")
if (!fs.existsSync(standaloneZipPath)) {
console.error(`standalone.zip not found at: ${standaloneZipPath}`)
process.exit(1)
}
console.log("Extracting standalone.zip to extensions directory...")
try {
execSync(`unzip -q "${standaloneZipPath}" -d "${extensionsDir}"`, { stdio: "inherit" })
console.log(`Successfully extracted standalone.zip to: ${extensionsDir}`)
} catch (error) {
console.error("Failed to extract standalone.zip:", error)
process.exit(1)
}
// Start the core service
// We run it as a child process to emulate how the extension currently operates
console.log("Starting Cline Core Service...")
const coreService: ChildProcess = spawn("node", [clineCoreFile], {
cwd: distDir,
env: {
...process.env,
NODE_PATH: "./node_modules",
DEV_WORKSPACE_FOLDER: WORKSPACE_DIR,
PROTOBUS_ADDRESS: `127.0.0.1:${PROTOBUS_PORT}`,
HOST_BRIDGE_ADDRESS: `localhost:${HOSTBRIDGE_PORT}`,
E2E_TEST: E2E_TEST,
CLINE_ENVIRONMENT: CLINE_ENVIRONMENT,
CLINE_DIR: userDataDir,
INSTALL_DIR: extensionsDir,
},
stdio: "inherit",
})
// Handle graceful shutdown
const shutdown = async (): Promise<void> => {
console.log(`\n Shutting down services...\n${userDataDir}\n${extensionsDir}\n${clineTestWorkspace}\n`)
hostbridge.kill()
coreService.kill()
await ClineApiServerMock.stopGlobalServer()
// Cleanup temp directories
try {
rmSync(userDataDir, { recursive: true, force: true })
rmSync(extensionsDir, { recursive: true, force: true })
rmSync(clineTestWorkspace, { recursive: true, force: true })
console.log("Cleaned up temporary directories")
} catch (error) {
console.warn("Failed to cleanup temp directories:", error)
}
process.exit(0)
}
process.on("SIGINT", shutdown)
process.on("SIGTERM", shutdown)
coreService.on("exit", (code) => {
console.log(`Core service exited with code ${code}`)
hostbridge.kill()
process.exit(code || 0)
})
hostbridge.on("exit", (code) => {
console.log(`HostBridge exited with code ${code}`)
coreService.kill()
process.exit(code || 0)
})
console.log("Cline gRPC Server is running!")
console.log(`Connect to: 127.0.0.1:${PROTOBUS_PORT}`)
console.log("Press Ctrl+C to stop")
}
if (require.main === module) {
main().catch((error) => {
console.error("Failed to start simple Cline server:", error)
process.exit(1)
})
}
-159
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@@ -1,159 +0,0 @@
#!/usr/bin/env npx tsx
/**
* Test Orchestrator
*
* Automates server lifecycle for running spec files against the standalone server.
*
* Prerequisites:
* Build standalone first: `npm run compile-standalone`
*
* Usage:
* - Single file: `npm run test:tp-orchestrator path/to/spec.json`
* - All specs dir: `npm run test:tp-orchestrator tests/specs`
*
* Flags:
* --server-logs Show server logs (hidden by default)
* --count=<number> Repeat execution N times (default: 1)
*
* Environment Variables:
* HOSTBRIDGE_PORT gRPC server port (default: 26040)
* SERVER_BOOT_DELAY Server startup delay in ms (default: 3000)
*/
import { ChildProcess, spawn } from "child_process"
import fs from "fs"
import minimist from "minimist"
import path from "path"
const STANDALONE_GRPC_SERVER_PORT = process.env.STANDALONE_GRPC_SERVER_PORT || "26040"
const SERVER_BOOT_DELAY = Number(process.env.SERVER_BOOT_DELAY) || 3000
let showServerLogs = false
function startServer(): Promise<ChildProcess> {
return new Promise((resolve, reject) => {
const server = spawn("npx", ["tsx", "scripts/test-standalone-core-api-server.ts"], {
stdio: showServerLogs ? "inherit" : "ignore",
})
server.once("error", reject)
setTimeout(() => {
if (server.killed) {
reject(new Error("Server died during startup"))
} else {
resolve(server)
}
}, SERVER_BOOT_DELAY)
})
}
function stopServer(server: ChildProcess): Promise<void> {
return new Promise((resolve) => {
server.once("exit", () => resolve())
server.kill("SIGINT")
setTimeout(() => {
if (!server.killed) {
server.kill("SIGKILL")
resolve()
}
}, 5000)
})
}
function runTestingPlatform(specFile: string): Promise<void> {
return new Promise((resolve, reject) => {
const testProcess = spawn("npx", ["ts-node", "index.ts", specFile], {
cwd: path.join(process.cwd(), "testing-platform"),
stdio: "inherit",
env: {
...process.env,
HOSTBRIDGE_PORT: STANDALONE_GRPC_SERVER_PORT,
},
})
testProcess.once("error", reject)
testProcess.once("exit", (code) => {
code === 0 ? resolve() : reject(new Error(`Exit code ${code}`))
})
})
}
async function runSpec(specFile: string): Promise<void> {
const server = await startServer()
try {
await runTestingPlatform(specFile)
console.log(`${path.basename(specFile)} passed`)
} finally {
await stopServer(server)
}
}
function collectSpecFiles(inputPath: string): string[] {
const fullPath = path.resolve(inputPath)
if (!fs.existsSync(fullPath)) throw new Error(`Path does not exist: ${fullPath}`)
const stat = fs.statSync(fullPath)
if (stat.isDirectory()) {
return fs
.readdirSync(fullPath)
.filter((f) => f.endsWith(".json"))
.map((f) => path.join(fullPath, f))
}
if (fullPath.endsWith(".json")) return [fullPath]
throw new Error("Spec path must be a JSON file or a folder containing JSON files")
}
async function runAll(inputPath: string, count: number) {
const specFiles = collectSpecFiles(inputPath)
if (specFiles.length === 0) {
console.warn(`⚠️ No spec files found in ${inputPath}`)
return
}
let success = 0
let failure = 0
const totalStart = Date.now()
for (let i = 0; i < count; i++) {
console.log(`\n🔁 Run #${i + 1} of ${count}`)
for (const specFile of specFiles) {
try {
await runSpec(specFile)
success++
} catch (err) {
console.error(`❌ run #${i + 1}: ${path.basename(specFile)} failed:`, (err as Error).message)
failure++
}
}
if (failure > 0) process.exitCode = 1
}
console.log(`✅ Passed: ${success}`)
if (failure > 0) console.log(`❌ Failed: ${failure}`)
console.log(`📋 Total specs: ${specFiles.length} Total runs: ${specFiles.length * count}`)
const totalElapsed = ((Date.now() - totalStart) / 1000).toFixed(2)
console.log(`\n🏁 All runs completed in ${totalElapsed}s`)
}
async function main() {
const args = minimist(process.argv.slice(2), { default: { count: 1 } })
const inputPath = args._[0]
const count = Number(args.count)
showServerLogs = Boolean(args["server-logs"])
if (!inputPath) {
console.error("Usage: npx tsx scripts/testing-platform-orchestrator.ts <spec-file-or-folder> [--count=N] [--server-logs]")
process.exit(1)
}
await runAll(inputPath, count)
}
if (require.main === module) {
main().catch((err) => {
console.error("❌ Fatal error:", err)
process.exit(1)
})
}
-288
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@@ -1,288 +0,0 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { ApiHandlerOptions, ModelInfo } from "@shared/api"
import { ApiHandler } from "../../core/api/index"
import { ApiStream } from "../../core/api/transform/stream"
export class DifyHandler implements ApiHandler {
private options: ApiHandlerOptions
private baseUrl: string
private apiKey: string
private conversationId: string | null = null
constructor(options: ApiHandlerOptions) {
this.options = options
this.apiKey = options.difyApiKey || ""
this.baseUrl = options.difyBaseUrl || ""
console.log("[DIFY DEBUG] Constructor called with:", {
hasApiKey: !!this.apiKey,
baseUrl: this.baseUrl,
})
if (!this.apiKey) {
throw new Error("Dify API key is required")
}
if (!this.baseUrl) {
throw new Error("Dify base URL is required")
}
}
async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
console.log("[DIFY DEBUG] createMessage called with:", {
systemPromptLength: systemPrompt?.length || 0,
messagesCount: messages?.length || 0,
})
// Convert messages to Dify format
const query = this.convertMessagesToQuery(systemPrompt, messages)
const requestBody = {
inputs: {},
query: query,
response_mode: "streaming",
conversation_id: this.conversationId || "",
user: "cline-user", // A unique user identifier
files: [],
}
const fullUrl = `${this.baseUrl}/chat-messages`
console.log("[DIFY DEBUG] Making request to:", fullUrl)
console.log("[DIFY DEBUG] Request body:", JSON.stringify(requestBody, null, 2))
console.log("[DIFY DEBUG] Current process environment variables (for proxy debugging):", process.env)
let response: Response
try {
response = await fetch(fullUrl, {
method: "POST",
headers: {
Authorization: `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify(requestBody),
})
} catch (error: any) {
console.error("[DIFY DEBUG] Network error during fetch:", error)
// Log more detailed error information if available (e.g., from undici)
const cause = error.cause ? ` | Cause: ${error.cause}` : ""
throw new Error(`Dify API network error: ${error.message}${cause}`)
}
console.log("[DIFY DEBUG] Response status:", response.status)
const headersObj: Record<string, string> = {}
response.headers.forEach((value, key) => {
headersObj[key] = value
})
console.log("[DIFY DEBUG] Response headers:", headersObj)
if (!response.ok) {
const errorText = await response.text()
console.error("[DIFY DEBUG] Error response:", errorText)
throw new Error(`Dify API error: ${response.status} ${response.statusText} - ${errorText}`)
}
if (!response.body) {
throw new Error("No response body from Dify API")
}
const reader = response.body.getReader()
const decoder = new TextDecoder()
let buffer = ""
let fullText = ""
console.log("[DIFY DEBUG] Starting to read streaming response...")
try {
while (true) {
const { done, value } = await reader.read()
if (done) {
console.log("[DIFY DEBUG] Stream ended naturally")
break
}
const chunk = decoder.decode(value, { stream: true })
console.log("[DIFY DEBUG] Raw chunk received:", JSON.stringify(chunk))
buffer += chunk
const lines = buffer.split("\n")
// Keep the last incomplete line in the buffer
buffer = lines.pop() || ""
for (const line of lines) {
console.log("[DIFY DEBUG] Processing line:", JSON.stringify(line))
if (line.startsWith("data: ")) {
const data = line.slice(6).trim()
console.log("[DIFY DEBUG] Extracted data:", JSON.stringify(data))
if (data === "[DONE]") {
console.log("[DIFY DEBUG] Received [DONE] signal")
return // Explicitly return on [DONE]
}
if (data === "") {
console.log("[DIFY DEBUG] Empty data line, skipping")
continue
}
try {
const parsed = JSON.parse(data)
console.log("[DIFY DEBUG] Parsed JSON:", parsed)
// Capture conversation_id as soon as it's available
if (parsed.conversation_id && !this.conversationId) {
this.conversationId = parsed.conversation_id
console.log("[DIFY DEBUG] Captured conversation_id:", this.conversationId)
}
// Handle different Dify event types based on actual Dify API
if (parsed.event === "message") {
console.log("[DIFY DEBUG] Message event, answer:", parsed.answer)
// Dify sends the full text in each "answer" chunk, so we replace.
if (typeof parsed.answer === "string") {
fullText = parsed.answer
console.log("[DIFY DEBUG] Updated fullText length:", fullText.length)
yield {
type: "text",
text: fullText,
}
}
} else if (parsed.event === "message_replace") {
console.log("[DIFY DEBUG] Replace message event:", parsed)
if (parsed.answer) {
fullText = parsed.answer // Replace instead of append
console.log("[DIFY DEBUG] Replaced fullText length:", fullText.length)
yield {
type: "text",
text: fullText,
}
}
} else if (parsed.event === "message_end") {
console.log("[DIFY DEBUG] Message end event", parsed)
// Message completed. Yield final text if we have any.
if (fullText) {
yield {
type: "text",
text: fullText,
}
}
// Yield usage data if available
if (parsed.usage) {
yield {
type: "usage",
inputTokens: parsed.usage.prompt_tokens || 0,
outputTokens: parsed.usage.completion_tokens || parsed.usage.total_tokens || 0,
totalCost: parsed.usage.total_price || 0,
}
}
return // End of stream
} else if (parsed.event === "error") {
console.error("[DIFY DEBUG] Error event:", parsed)
throw new Error(`Dify API error: ${parsed.message || "Unknown error"}`)
} else if (parsed.event === "workflow_started" || parsed.event === "workflow_finished") {
console.log("[DIFY DEBUG] Workflow event:", parsed.event)
// These are informational events, continue processing
} else if (parsed.event === "node_started" || parsed.event === "node_finished") {
console.log("[DIFY DEBUG] Node event:", parsed.event, parsed.data)
// These are informational events, continue processing
} else if (parsed.event === "ping") {
console.log("[DIFY DEBUG] Ping event received, keeping connection alive.")
// Ping event, do nothing
} else {
console.log("[DIFY DEBUG] Unknown event type:", parsed.event, "Full object:", parsed)
// Try to extract text from other possible fields
if (parsed.text) {
fullText += parsed.text
yield {
type: "text",
text: fullText,
}
} else if (parsed.content) {
fullText += parsed.content
yield {
type: "text",
text: fullText,
}
}
}
} catch (e) {
console.warn("[DIFY DEBUG] Failed to parse JSON:", data, "Error:", e)
}
} else if (line.trim() !== "") {
console.log(
"[DIFY DEBUG] Non-data line (not starting with 'data:'), trying to parse as direct JSON:",
JSON.stringify(line),
)
// Try to parse as direct JSON (fallback for non-SSE responses, though Dify uses SSE)
try {
const parsed = JSON.parse(line.trim())
console.log("[DIFY DEBUG] Parsed direct JSON:", parsed)
// Handle the same event types as above
if (parsed.event === "message" && parsed.answer) {
fullText += parsed.answer
yield {
type: "text",
text: fullText,
}
} else if (parsed.event === "message_end") {
if (fullText) {
yield {
type: "text",
text: fullText,
}
}
return
} else if (parsed.event === "error") {
console.error("[DIFY DEBUG] Direct JSON Error event:", parsed)
throw new Error(`Dify API error: ${parsed.message || "Unknown error"}`)
}
} catch (e) {
// Not JSON, continue
console.log("[DIFY DEBUG] Line is not direct JSON, continuing")
}
}
}
}
} finally {
reader.releaseLock()
console.log("[DIFY DEBUG] Stream reader released")
}
}
private convertMessagesToQuery(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): string {
// Dify's context is managed by `conversation_id`. The `query` should be the last user message.
// The system prompt is typically configured in the Dify App itself.
const lastUserMessage = messages.filter((m) => m.role === "user").pop()
if (!lastUserMessage) {
return "" // Should not happen in normal flow
}
const userQuery = Array.isArray(lastUserMessage.content)
? lastUserMessage.content.map((c) => ("text" in c ? c.text : "")).join("\n")
: (lastUserMessage.content as string)
// Only prepend the system prompt if it's the very first message of a new conversation.
if (!this.conversationId && systemPrompt) {
console.log("[DIFY DEBUG] Prepending system prompt for new conversation.")
return `${systemPrompt}\n\n---\n\n${userQuery}`
}
return userQuery
}
getModel(): { id: string; info: ModelInfo } {
return {
id: "dify-workflow",
info: {
maxTokens: 8192,
contextWindow: 128000,
supportsImages: true,
supportsPromptCache: false,
inputPrice: 0,
outputPrice: 0,
description: "Dify workflow - model selection is configured in your Dify application",
},
}
}
}
+16 -21
View File
@@ -1,22 +1,19 @@
import * as vscode from "vscode"
import {
migrateCustomInstructionsToGlobalRules,
migrateTaskHistoryToFile,
migrateWelcomeViewCompleted,
migrateWorkspaceToGlobalStorage,
} from "./core/storage/state-migrations"
import { WebviewProvider } from "./core/webview"
import { Logger } from "./services/logging/Logger"
import { PostHogClientProvider } from "./services/posthog/PostHogClientProvider"
import { EmptyRequest } from "./shared/proto/cline/common"
import { WebviewProviderType } from "./shared/webview/types"
import "./utils/path" // necessary to have access to String.prototype.toPosix
import { HostProvider } from "@/hosts/host-provider"
import { FileContextTracker } from "./core/context/context-tracking/FileContextTracker"
import { ErrorService } from "./services/error"
import { featureFlagsService } from "./services/feature-flags"
import { initializeDistinctId } from "./services/logging/distinctId"
import { PostHogClientProvider } from "./services/posthog/PostHogClientProvider"
import { telemetryService } from "./services/telemetry"
import { telemetryService } from "./services/posthog/PostHogClientProvider"
import { ShowMessageType } from "./shared/proto/host/window"
import { getLatestAnnouncementId } from "./utils/announcements"
/**
@@ -26,15 +23,18 @@ import { getLatestAnnouncementId } from "./utils/announcements"
* @returns The webview provider
*/
export async function initialize(context: vscode.ExtensionContext): Promise<WebviewProvider> {
// Set the distinct ID for logging and telemetry
await initializeDistinctId(context)
// Initialize PostHog client provider
PostHogClientProvider.getInstance()
// Setup the external services
await ErrorService.initialize()
await featureFlagsService.poll()
let distinctId = context.globalState.get<string>("cline.distinctId")
if (!distinctId) {
try {
const response = await HostProvider.env.getMachineId(EmptyRequest.create({}))
distinctId = response.value
} catch (e) {
Logger.warn(`Failed to get machine ID: ${e instanceof Error ? e.message : String(e)}`)
// PostHogProvider will fall back to uuid
}
}
PostHogClientProvider.getInstance(distinctId)
// Migrate custom instructions to global Cline rules (one-time cleanup)
await migrateCustomInstructionsToGlobalRules(context)
@@ -45,9 +45,6 @@ export async function initialize(context: vscode.ExtensionContext): Promise<Webv
// Migrate workspace storage values back to global storage (reverting previous migration)
await migrateWorkspaceToGlobalStorage(context)
// Ensure taskHistory.json exists and migrate legacy state (runs once)
await migrateTaskHistoryToFile(context)
// Clean up orphaned file context warnings (startup cleanup)
await FileContextTracker.cleanupOrphanedWarnings(context)
@@ -78,7 +75,7 @@ async function showVersionUpdateAnnouncement(context: vscode.ExtensionContext) {
const message = previousVersion
? `Cline has been updated to v${currentVersion}`
: `Welcome to Cline v${currentVersion}`
await HostProvider.workspace.openClineSidebarPanel({})
await vscode.commands.executeCommand("claude-dev.SidebarProvider.focus")
await new Promise((resolve) => setTimeout(resolve, 200))
HostProvider.window.showMessage({
type: ShowMessageType.INFORMATION,
@@ -99,9 +96,7 @@ async function showVersionUpdateAnnouncement(context: vscode.ExtensionContext) {
*/
export async function tearDown(): Promise<void> {
PostHogClientProvider.getInstance().dispose()
telemetryService.dispose()
ErrorService.get().dispose()
featureFlagsService.dispose()
// Dispose all webview instances
await WebviewProvider.disposeAllInstances()
}
+3 -20
View File
@@ -9,7 +9,6 @@ import { CerebrasHandler } from "./providers/cerebras"
import { ClaudeCodeHandler } from "./providers/claude-code"
import { ClineHandler } from "./providers/cline"
import { DeepSeekHandler } from "./providers/deepseek"
import { DifyHandler } from "./providers/dify"
import { DoubaoHandler } from "./providers/doubao"
import { FireworksHandler } from "./providers/fireworks"
import { GeminiHandler } from "./providers/gemini"
@@ -54,9 +53,9 @@ export interface ApiHandlerModel {
}
export interface ApiProviderInfo {
modelId: string
providerId: string
model: ApiHandlerModel
customPrompt?: string // "compact"
customPrompt?: string
}
export interface SingleCompletionHandler {
@@ -210,7 +209,6 @@ function createHandlerForProvider(
})
case "qwen-code":
return new QwenCodeHandler({
onRetryAttempt: options.onRetryAttempt,
qwenCodeOauthPath: options.qwenCodeOauthPath,
apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
})
@@ -313,7 +311,6 @@ function createHandlerForProvider(
})
case "baseten":
return new BasetenHandler({
onRetryAttempt: options.onRetryAttempt,
basetenApiKey: options.basetenApiKey,
basetenModelId: mode === "plan" ? options.planModeBasetenModelId : options.actModeBasetenModelId,
basetenModelInfo: mode === "plan" ? options.planModeBasetenModelInfo : options.actModeBasetenModelInfo,
@@ -331,8 +328,6 @@ function createHandlerForProvider(
thinkingBudgetTokens:
mode === "plan" ? options.planModeThinkingBudgetTokens : options.actModeThinkingBudgetTokens,
reasoningEffort: mode === "plan" ? options.planModeReasoningEffort : options.actModeReasoningEffort,
deploymentId: mode === "plan" ? options.planModeSapAiCoreDeploymentId : options.actModeSapAiCoreDeploymentId,
sapAiCoreUseOrchestrationMode: options.sapAiCoreUseOrchestrationMode,
})
case "claude-code":
return new ClaudeCodeHandler({
@@ -344,25 +339,14 @@ function createHandlerForProvider(
})
case "huawei-cloud-maas":
return new HuaweiCloudMaaSHandler({
onRetryAttempt: options.onRetryAttempt,
huaweiCloudMaasApiKey: options.huaweiCloudMaasApiKey,
huaweiCloudMaasModelId:
mode === "plan" ? options.planModeHuaweiCloudMaasModelId : options.actModeHuaweiCloudMaasModelId,
huaweiCloudMaasModelInfo:
mode === "plan" ? options.planModeHuaweiCloudMaasModelInfo : options.actModeHuaweiCloudMaasModelInfo,
})
case "dify": // Add Dify.ai handler
console.log("[DIFY DEBUG] Instantiating DifyHandler with options:", {
difyApiKeyPresent: !!options.difyApiKey,
difyBaseUrl: options.difyBaseUrl,
})
return new DifyHandler({
difyApiKey: options.difyApiKey,
difyBaseUrl: options.difyBaseUrl,
})
case "vercel-ai-gateway":
return new VercelAIGatewayHandler({
onRetryAttempt: options.onRetryAttempt,
vercelAiGatewayApiKey: options.vercelAiGatewayApiKey,
vercelAiGatewayModelId:
mode === "plan" ? options.planModeVercelAiGatewayModelId : options.actModeVercelAiGatewayModelId,
@@ -371,7 +355,6 @@ function createHandlerForProvider(
})
case "zai":
return new ZAiHandler({
onRetryAttempt: options.onRetryAttempt,
zaiApiLine: options.zaiApiLine,
zaiApiKey: options.zaiApiKey,
apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
@@ -401,7 +384,7 @@ export function buildApiHandler(configuration: ApiConfiguration, mode: Mode): Ap
const handler = createHandlerForProvider(apiProvider, options, mode)
const modelInfo = handler.getModel().info
if (modelInfo?.maxTokens && modelInfo.maxTokens > 0 && thinkingBudgetTokens > modelInfo.maxTokens) {
if (modelInfo.maxTokens && thinkingBudgetTokens > modelInfo.maxTokens) {
const clippedValue = modelInfo.maxTokens - 1
if (mode === "plan") {
options.planModeThinkingBudgetTokens = clippedValue
@@ -1,248 +0,0 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { afterEach, beforeEach, describe, it } from "mocha"
import sinon from "sinon"
import "should"
import { ClaudeCodeHandler } from "@core/api/providers/claude-code"
describe("ClaudeCodeHandler", () => {
let handler: ClaudeCodeHandler
let sandbox: sinon.SinonSandbox
beforeEach(() => {
sandbox = sinon.createSandbox()
handler = new ClaudeCodeHandler({
claudeCodePath: "/mock/path",
apiModelId: "claude-3-5-sonnet-20241022",
})
})
afterEach(() => {
sandbox.restore()
})
describe("token counting", () => {
it("should correctly handle token usage from assistant messages", async () => {
// The 'input_tokens' field represents the TOTAL number of input tokens used.
// See https://docs.anthropic.com/en/api/messages#usage-object
// Mock the runClaudeCode function
const runClaudeCodeModule = await import("@/integrations/claude-code/run")
const runClaudeCodeStub = sandbox.stub(runClaudeCodeModule, "runClaudeCode")
// Create a proper async generator mock for the Claude Code response
async function* mockGenerator() {
// First yield the system init
yield {
type: "system",
subtype: "init",
apiKeySource: "api",
}
// Yield assistant message with usage data
// Example: If base input is 70 tokens, cache read is 20, and cache creation is 10,
// then input_tokens from Anthropic API will be 100 (70 + 20 + 10)
yield {
type: "assistant",
message: {
content: [
{
type: "text",
text: "Test response",
},
],
usage: {
input_tokens: 100, // Total including cache (per Anthropic docs)
output_tokens: 50,
cache_read_input_tokens: 20, // Already included in input_tokens
cache_creation_input_tokens: 10, // Already included in input_tokens
},
stop_reason: "end_turn",
},
}
// Yield result with cost
yield {
type: "result",
result: {},
total_cost_usd: 0.005,
}
}
runClaudeCodeStub.returns(mockGenerator() as any)
const systemPrompt = "You are a helpful assistant."
const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Hello" }]
const usageData: any[] = []
// Collect the results
for await (const chunk of handler.createMessage(systemPrompt, messages)) {
if (chunk.type === "usage") {
usageData.push({
inputTokens: chunk.inputTokens,
outputTokens: chunk.outputTokens,
cacheReadTokens: chunk.cacheReadTokens,
cacheWriteTokens: chunk.cacheWriteTokens,
totalCost: chunk.totalCost,
})
}
}
// Verify token counting follows Anthropic API specification
usageData.should.have.length(1)
usageData[0].should.deepEqual({
inputTokens: 100, // Total including cache tokens (per Anthropic API docs)
outputTokens: 50,
cacheReadTokens: 20, // Tracked separately for reporting
cacheWriteTokens: 10, // Tracked separately for reporting
totalCost: 0.005,
})
// CRITICAL ASSERTION: Verify that input_tokens is NOT inflated by re-adding cache tokens
// The bug would have caused inputTokens to be incorrectly calculated as 130 (100 + 20 + 10)
// The fix ensures it remains 100, as per Anthropic's specification
usageData[0].inputTokens.should.equal(100) // Correct: matches API response
usageData[0].inputTokens.should.not.equal(130) // Would be wrong: double-counting cache tokens
})
it("should handle missing usage fields with nullish coalescing", async () => {
// Mock the runClaudeCode function
const runClaudeCodeModule = await import("@/integrations/claude-code/run")
const runClaudeCodeStub = sandbox.stub(runClaudeCodeModule, "runClaudeCode")
// Create a proper async generator mock with missing/undefined usage fields
async function* mockGenerator() {
yield {
type: "assistant",
message: {
content: [
{
type: "text",
text: "Test response",
},
],
usage: {
input_tokens: 100,
output_tokens: 50,
// cache fields are undefined/missing
},
stop_reason: "end_turn",
},
}
yield {
type: "result",
result: {},
total_cost_usd: 0.005,
}
}
runClaudeCodeStub.returns(mockGenerator() as any)
const systemPrompt = "You are a helpful assistant."
const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Hello" }]
const usageData: any[] = []
// Collect the results
for await (const chunk of handler.createMessage(systemPrompt, messages)) {
if (chunk.type === "usage") {
usageData.push({
inputTokens: chunk.inputTokens,
outputTokens: chunk.outputTokens,
cacheReadTokens: chunk.cacheReadTokens,
cacheWriteTokens: chunk.cacheWriteTokens,
})
}
}
// Verify that undefined cache tokens default to 0
usageData.should.have.length(1)
usageData[0].should.deepEqual({
inputTokens: 100,
outputTokens: 50,
cacheReadTokens: 0, // Should default to 0
cacheWriteTokens: 0, // Should default to 0
})
})
it("should handle completely missing usage object", async () => {
// Mock the runClaudeCode function
const runClaudeCodeModule = await import("@/integrations/claude-code/run")
const runClaudeCodeStub = sandbox.stub(runClaudeCodeModule, "runClaudeCode")
// Create a proper async generator mock with missing usage object
async function* mockGenerator() {
yield {
type: "assistant",
message: {
content: [
{
type: "text",
text: "Test response",
},
],
// usage is undefined
usage: undefined,
stop_reason: "end_turn",
},
}
// Need to yield a result chunk to trigger usage data emission
yield {
type: "result",
result: {},
total_cost_usd: 0,
}
}
runClaudeCodeStub.returns(mockGenerator() as any)
const systemPrompt = "You are a helpful assistant."
const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Hello" }]
const usageData: any[] = []
// Collect the results
for await (const chunk of handler.createMessage(systemPrompt, messages)) {
if (chunk.type === "usage") {
usageData.push({
inputTokens: chunk.inputTokens,
outputTokens: chunk.outputTokens,
cacheReadTokens: chunk.cacheReadTokens,
cacheWriteTokens: chunk.cacheWriteTokens,
})
}
}
// All token counts should default to 0 when usage is undefined
usageData.should.have.length(1)
usageData[0].should.deepEqual({
inputTokens: 0,
outputTokens: 0,
cacheReadTokens: 0,
cacheWriteTokens: 0,
})
})
})
describe("getModel", () => {
it("should return the correct model when specified", () => {
const handler = new ClaudeCodeHandler({
apiModelId: "claude-3-5-sonnet-20241022",
})
const model = handler.getModel()
model.id.should.equal("claude-3-5-sonnet-20241022")
})
it("should return default model when not specified", () => {
const handler = new ClaudeCodeHandler({})
const model = handler.getModel()
// The default model should be set
model.id.should.be.type("string")
model.info.should.be.type("object")
})
})
})
@@ -1,243 +0,0 @@
import Anthropic from "@anthropic-ai/sdk"
import { LiteLlmHandler, type LiteLlmModelInfoResponse } from "@core/api/providers/litellm"
import { convertToOpenAiMessages } from "@core/api/transform/openai-format"
import { expect } from "chai"
import sinon from "sinon"
const fakeClient = {
chat: {
completions: {
create: sinon.stub(),
},
},
baseURL: "fake",
}
describe("LiteLlmHandler", () => {
const originalFetch = global.fetch
const mockFetch = sinon.stub()
const mockModelFetch = (modelInfo: LiteLlmModelInfoResponse["data"][number]) => {
mockFetch.resolves({
ok: true,
json: () =>
Promise.resolve({
data: [modelInfo],
}),
})
}
let handler: LiteLlmHandler
const mockHandlerChat = () => {
sinon.stub(handler, "ensureClient" as any).returns(fakeClient)
}
const initializeHandler = (model: string) => {
handler = new LiteLlmHandler({
liteLlmApiKey: "test-api-key",
liteLlmBaseUrl: "http://localhost:4000",
liteLlmUsePromptCache: true,
liteLlmModelId: model,
})
mockHandlerChat()
}
beforeEach(() => {
global.fetch = mockFetch
// Configure the stub to return a stream that closes immediately with usage data
fakeClient.chat.completions.create.resolves(
createAsyncIterable([
{
choices: [{ delta: { content: "test response" } }],
},
{
choices: [{}],
usage: {
prompt_tokens: 100,
completion_tokens: 50,
cache_creation_input_tokens: 20,
cache_read_input_tokens: 10,
},
},
]),
)
})
afterEach(() => {
sinon.reset()
global.fetch = originalFetch
})
const createAsyncIterable = (data: any[] = []) => {
return {
[Symbol.asyncIterator]: async function* () {
yield* data
},
}
}
describe("prompt cache", () => {
const setModelData = (model: string, supportsPromptCaching: boolean) => {
mockModelFetch({
model_name: model,
litellm_params: {
model,
},
model_info: {
supports_prompt_caching: supportsPromptCaching,
input_cost_per_token: 0.01,
output_cost_per_token: 0.02,
},
})
}
describe("when the model doesn't support prompt caching", () => {
const model = "openai/gpt-5"
beforeEach(() => {
initializeHandler(model)
setModelData(model, false)
})
it("sends the system prompt and messages with the openai format", async () => {
const systemPrompt = "Test System Prompt"
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "user",
content: "first message",
},
{
role: "assistant",
content: "first response",
},
{
role: "user",
content: [
{
type: "text",
text: "test",
},
{
type: "text",
text: "second message",
},
],
},
]
for await (const _ of handler.createMessage(systemPrompt, messages)) {
}
sinon.assert.calledOnce(fakeClient.chat.completions.create)
const callArgs = fakeClient.chat.completions.create.getCall(0).args[0]
const systemPromptMessage = callArgs.messages.shift()
expect(systemPromptMessage).to.deep.equal({
role: "system",
content: systemPrompt,
})
expect(callArgs.messages).to.deep.equal(convertToOpenAiMessages(messages))
})
})
describe("when the model supports prompt caching", () => {
const model = "anthropic/claude-sonnet-4-20250514"
beforeEach(() => {
initializeHandler(model)
setModelData(model, true)
})
it("inserts the cache control in the system prompt and the last two user messages", async () => {
const systemPrompt = "Test System Prompt"
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "user",
content: "first message",
},
{
role: "assistant",
content: "first response",
},
{
role: "user",
content: [
{
type: "text",
text: "test",
},
{
type: "text",
text: "second message",
},
],
},
]
for await (const _ of handler.createMessage(systemPrompt, messages)) {
}
sinon.assert.calledOnce(fakeClient.chat.completions.create)
const callArgs = fakeClient.chat.completions.create.getCall(0).args[0]
expect(callArgs.messages[0]).to.deep.equal({
role: "system",
content: [
{
text: systemPrompt,
type: "text",
cache_control: {
type: "ephemeral",
},
},
],
})
const sentMessages = callArgs.messages
expect(sentMessages.length).to.equal(4)
const firstUserMessage = sentMessages[1]
expect(firstUserMessage).to.deep.equal({
role: "user",
content: [
{
type: "text",
text: "first message",
cache_control: {
type: "ephemeral",
},
},
],
})
const lastUserMessage = sentMessages[3]
expect(lastUserMessage.content[0]).to.deep.equal({
type: "text",
text: "test",
})
const lastContentBlock = lastUserMessage.content[lastUserMessage.content.length - 1]
expect(lastContentBlock).to.deep.equal({
type: "text",
text: "second message",
cache_control: {
type: "ephemeral",
},
})
expect(callArgs.model).to.be.a("string")
expect(callArgs.stream).to.equal(true)
expect(callArgs.stream_options).to.deep.equal({ include_usage: true })
})
})
})
})
+2 -2
View File
@@ -2,12 +2,12 @@ import { Anthropic } from "@anthropic-ai/sdk"
import { BasetenModelId, basetenDefaultModelId, basetenModels, ModelInfo } from "@shared/api"
import { calculateApiCostOpenAI } from "@utils/cost"
import OpenAI from "openai"
import { ApiHandler, CommonApiHandlerOptions } from "../"
import { ApiHandler } from "../"
import { withRetry } from "../retry"
import { convertToOpenAiMessages } from "../transform/openai-format"
import { ApiStream } from "../transform/stream"
interface BasetenHandlerOptions extends CommonApiHandlerOptions {
interface BasetenHandlerOptions {
basetenApiKey?: string
basetenModelId?: string
basetenModelInfo?: ModelInfo
+5 -9
View File
@@ -2,7 +2,7 @@ import type { Anthropic } from "@anthropic-ai/sdk"
import { filterMessagesForClaudeCode } from "@/integrations/claude-code/message-filter"
import { runClaudeCode } from "@/integrations/claude-code/run"
import { ClaudeCodeModelId, claudeCodeDefaultModelId, claudeCodeModels } from "@/shared/api"
import { type ApiHandler, CommonApiHandlerOptions } from ".."
import { CommonApiHandlerOptions, type ApiHandler } from ".."
import { withRetry } from "../retry"
import { type ApiStream, ApiStreamUsageChunk } from "../transform/stream"
@@ -118,14 +118,10 @@ export class ClaudeCodeHandler implements ApiHandler {
}
}
// According to Anthropic's API documentation:
// https://docs.anthropic.com/en/api/messages#usage-object
// The `input_tokens` field already includes both `cache_read_input_tokens` and `cache_creation_input_tokens`.
// Therefore, we should not add cache tokens to the input_tokens count again, as this would result in double-counting.
usage.inputTokens = message.usage?.input_tokens ?? 0
usage.outputTokens = message.usage?.output_tokens ?? 0
usage.cacheReadTokens = message.usage?.cache_read_input_tokens ?? 0
usage.cacheWriteTokens = message.usage?.cache_creation_input_tokens ?? 0
usage.inputTokens += message.usage.input_tokens
usage.outputTokens += message.usage.output_tokens
usage.cacheReadTokens = (usage.cacheReadTokens || 0) + (message.usage.cache_read_input_tokens || 0)
usage.cacheWriteTokens = (usage.cacheWriteTokens || 0) + (message.usage.cache_creation_input_tokens || 0)
continue
}
+2 -35
View File
@@ -32,7 +32,6 @@ export class ClineHandler implements ApiHandler {
private client: OpenAI | undefined
private readonly _baseUrl = clineEnvConfig.apiBaseUrl
lastGenerationId?: string
private lastRequestId?: string
constructor(options: ClineHandlerOptions) {
this.options = options
@@ -55,31 +54,6 @@ export class ClineHandler implements ApiHandler {
"X-Task-ID": this.options.ulid || "",
"X-Cline-Version": extensionVersion,
},
// Capture real HTTP request ID from initial streaming response headers
fetch: async (...args: Parameters<typeof fetch>): Promise<Awaited<ReturnType<typeof fetch>>> => {
const [input, init] = args
const resp = await fetch(input, init)
try {
let urlStr = ""
if (typeof input === "string") {
urlStr = input
} else if (input instanceof URL) {
urlStr = input.toString()
} else if (typeof (input as { url?: unknown }).url === "string") {
urlStr = (input as { url: string }).url
}
// Only record for chat completions (the primary streaming request)
if (urlStr.includes("/chat/completions")) {
const rid = resp.headers.get("x-request-id") || resp.headers.get("request-id")
if (rid) {
this.lastRequestId = rid
}
}
} catch {
// ignore header capture errors
}
return resp
},
})
} catch (error: any) {
throw new Error(`Error creating Cline client: ${error.message}`)
@@ -96,7 +70,6 @@ export class ClineHandler implements ApiHandler {
const client = await this.ensureClient()
this.lastGenerationId = undefined
this.lastRequestId = undefined
let didOutputUsage: boolean = false
@@ -119,7 +92,6 @@ export class ClineHandler implements ApiHandler {
const metadataStr = error.metadata ? `\nMetadata: ${JSON.stringify(error.metadata, null, 2)}` : ""
throw new Error(`Cline API Error ${error.code}: ${error.message}${metadataStr}`)
}
if (!this.lastGenerationId && chunk.id) {
this.lastGenerationId = chunk.id
}
@@ -164,9 +136,9 @@ export class ClineHandler implements ApiHandler {
if (this.getModel().id === "cline/sonic") {
totalCost = 0
}
}
if (this.getModel().id === "x-ai/grok-code-fast-1") {
if (this.getModel().id === "x-ai/grok-code-fast-1") {
totalCost = 0
}
@@ -231,11 +203,6 @@ export class ClineHandler implements ApiHandler {
return undefined
}
// Expose the last HTTP request ID captured from response headers (X-Request-ID)
getLastRequestId(): string | undefined {
return this.lastRequestId
}
getModel(): { id: string; info: ModelInfo } {
const modelId = this.options.openRouterModelId
const modelInfo = this.options.openRouterModelInfo
-655
View File
@@ -1,655 +0,0 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { ApiHandlerOptions, ModelInfo } from "../../../shared/api"
import { ApiHandler } from "../index"
import { ApiStream } from "../transform/stream"
// Dify API Response Types
export interface DifyFileResponse {
id: string
name: string
size: number
extension: string
mime_type: string
created_by: string
created_at: number
}
export interface DifyMessage {
id: string
conversation_id: string
inputs: Record<string, any>
query: string
message_files: Array<{
id: string
type: string
url: string
belongs_to: string
}>
answer: string
created_at: number
feedback?: {
rating: string
}
retriever_resources?: any[]
}
interface DifyHistoryResponse {
data: DifyMessage[]
has_more: boolean
limit: number
}
interface DifyConversation {
id: string
name: string
inputs: Record<string, any>
status: string
introduction: string
created_at: number
updated_at: number
}
interface DifyConversationsResponse {
data: DifyConversation[]
has_more: boolean
limit: number
}
interface DifyConversationResponse {
id: string
name: string
inputs: Record<string, any>
status: string
introduction: string
created_at: number
updated_at: number
}
export class DifyHandler implements ApiHandler {
private options: ApiHandlerOptions
private baseUrl: string
private apiKey: string
private conversationId: string | null = null
private currentTaskId: string | null = null
private abortController: AbortController | null = null
constructor(options: ApiHandlerOptions) {
this.options = options
this.apiKey = options.difyApiKey || ""
this.baseUrl = options.difyBaseUrl || ""
console.log("[DIFY DEBUG] Constructor called with:", {
hasApiKey: !!this.apiKey,
baseUrl: this.baseUrl,
})
if (!this.apiKey) {
throw new Error("Dify API key is required")
}
if (!this.baseUrl) {
throw new Error("Dify base URL is required")
}
}
async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
console.log("[DIFY DEBUG] createMessage called with:", {
systemPromptLength: systemPrompt?.length || 0,
messagesCount: messages?.length || 0,
})
// Convert messages to Dify format
const query = this.convertMessagesToQuery(systemPrompt, messages)
const requestBody = {
inputs: {},
query: query,
response_mode: "streaming",
conversation_id: this.conversationId || "",
user: "cline-user", // A unique user identifier
files: [],
}
const fullUrl = `${this.baseUrl}/chat-messages`
console.log("[DIFY DEBUG] Making request to:", fullUrl)
console.log("[DIFY DEBUG] Request body:", JSON.stringify(requestBody, null, 2))
let response: Response
try {
response = await fetch(fullUrl, {
method: "POST",
headers: {
Authorization: `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify(requestBody),
})
} catch (error: any) {
console.error("[DIFY DEBUG] Network error during fetch:", error)
const cause = error.cause ? ` | Cause: ${error.cause}` : ""
throw new Error(`Dify API network error: ${error.message}${cause}`)
}
console.log("[DIFY DEBUG] Response status:", response.status)
const headersObj: Record<string, string> = {}
response.headers.forEach((value, key) => {
headersObj[key] = value
})
console.log("[DIFY DEBUG] Response headers:", headersObj)
if (!response.ok) {
const errorText = await response.text()
console.error("[DIFY DEBUG] Error response:", errorText)
throw new Error(`Dify API error: ${response.status} ${response.statusText} - ${errorText}`)
}
if (!response.body) {
throw new Error("No response body from Dify API")
}
const reader = response.body.getReader()
const decoder = new TextDecoder()
let buffer = ""
let fullText = ""
let hasYieldedContent = false
const processedEvents: string[] = []
let lastEventTime = Date.now()
console.log("[DIFY DEBUG] Starting to read streaming response...")
try {
while (true) {
const { done, value } = await reader.read()
if (done) {
console.log("[DIFY DEBUG] Stream ended naturally")
console.log(
"[DIFY DEBUG] Final state - hasYieldedContent:",
hasYieldedContent,
"fullText length:",
fullText.length,
"processedEvents:",
processedEvents,
)
break
}
const chunk = decoder.decode(value, { stream: true })
console.log("[DIFY DEBUG] Raw chunk received:", JSON.stringify(chunk))
buffer += chunk
const lines = buffer.split("\n")
// Keep the last incomplete line in the buffer
buffer = lines.pop() || ""
for (const line of lines) {
console.log("[DIFY DEBUG] Processing line:", JSON.stringify(line))
if (line.startsWith("data: ")) {
const data = line.slice(6).trim()
console.log("[DIFY DEBUG] Extracted data:", JSON.stringify(data))
if (data === "[DONE]") {
console.log("[DIFY DEBUG] Received [DONE] signal")
break
}
if (data === "") {
console.log("[DIFY DEBUG] Empty data line, skipping")
continue
}
try {
const parsed = JSON.parse(data)
console.log("[DIFY DEBUG] Parsed JSON:", parsed)
processedEvents.push(parsed.event || "unknown")
lastEventTime = Date.now()
// Capture conversation_id as soon as it's available
if (parsed.conversation_id && !this.conversationId) {
this.conversationId = parsed.conversation_id
console.log("[DIFY DEBUG] Captured conversation_id:", this.conversationId)
}
// Handle different Dify event types based on actual Dify API
if (parsed.event === "message") {
console.log("[DIFY DEBUG] Message event, answer:", parsed.answer)
// Dify sends the full text in each "answer" chunk, so we replace.
if (typeof parsed.answer === "string") {
fullText = parsed.answer
console.log("[DIFY DEBUG] Updated fullText length:", fullText.length)
yield {
type: "text",
text: fullText,
}
hasYieldedContent = true
}
} else if (parsed.event === "message_replace") {
console.log("[DIFY DEBUG] Replace message event:", parsed)
if (parsed.answer) {
fullText = parsed.answer // Replace instead of append
console.log("[DIFY DEBUG] Replaced fullText length:", fullText.length)
yield {
type: "text",
text: fullText,
}
hasYieldedContent = true
}
} else if (parsed.event === "message_end") {
console.log("[DIFY DEBUG] Message end event", parsed)
// Message completed. Yield final text if we have any.
if (fullText) {
yield {
type: "text",
text: fullText,
}
hasYieldedContent = true
}
// Yield usage data if available
if (parsed.usage) {
yield {
type: "usage",
inputTokens: parsed.usage.prompt_tokens || 0,
outputTokens: parsed.usage.completion_tokens || parsed.usage.total_tokens || 0,
totalCost: parsed.usage.total_price || 0,
}
}
return // End of stream
} else if (parsed.event === "error") {
console.error("[DIFY DEBUG] Error event:", parsed)
throw new Error(`Dify API error: ${parsed.message || "Unknown error"}`)
} else if (parsed.event === "workflow_started" || parsed.event === "workflow_finished") {
console.log("[DIFY DEBUG] Workflow event:", parsed.event)
// These are informational events, continue processing
} else if (parsed.event === "node_started" || parsed.event === "node_finished") {
console.log("[DIFY DEBUG] Node event:", parsed.event, parsed.data)
// These are informational events, continue processing
} else if (parsed.event === "ping") {
console.log("[DIFY DEBUG] Ping event received, keeping connection alive.")
// Ping event, do nothing
} else {
console.log("[DIFY DEBUG] Unknown event type:", parsed.event, "Full object:", parsed)
// Try to extract text from other possible fields
if (parsed.text) {
fullText += parsed.text
yield {
type: "text",
text: fullText,
}
hasYieldedContent = true
} else if (parsed.content) {
fullText += parsed.content
yield {
type: "text",
text: fullText,
}
hasYieldedContent = true
} else if (parsed.answer) {
// Fallback: some events might have answer field even if not "message" type
fullText += parsed.answer
yield {
type: "text",
text: fullText,
}
hasYieldedContent = true
}
}
} catch (e) {
console.warn("[DIFY DEBUG] Failed to parse JSON:", data, "Error:", e)
}
} else if (line.trim() !== "") {
console.log(
"[DIFY DEBUG] Non-data line (not starting with 'data:'), trying to parse as direct JSON:",
JSON.stringify(line),
)
// Try to parse as direct JSON (fallback for non-SSE responses, though Dify uses SSE)
try {
const parsed = JSON.parse(line.trim())
console.log("[DIFY DEBUG] Parsed direct JSON:", parsed)
processedEvents.push(parsed.event || "direct-json")
// Handle the same event types as above
if (parsed.event === "message" && parsed.answer) {
fullText += parsed.answer
yield {
type: "text",
text: fullText,
}
hasYieldedContent = true
} else if (parsed.event === "message_end") {
if (fullText) {
yield {
type: "text",
text: fullText,
}
hasYieldedContent = true
}
return
} else if (parsed.event === "error") {
console.error("[DIFY DEBUG] Direct JSON Error event:", parsed)
throw new Error(`Dify API error: ${parsed.message || "Unknown error"}`)
} else if (parsed.answer || parsed.text || parsed.content) {
// Fallback for any content in direct JSON
const content = parsed.answer || parsed.text || parsed.content
fullText += content
yield {
type: "text",
text: fullText,
}
hasYieldedContent = true
}
} catch (e) {
// Not JSON, continue
console.log("[DIFY DEBUG] Line is not direct JSON, continuing")
}
}
}
}
// Final check - if we haven't yielded any content, provide diagnostic information
if (!hasYieldedContent) {
const diagnosticInfo = {
processedEvents,
finalFullTextLength: fullText.length,
finalFullText: fullText,
streamDuration: Date.now() - lastEventTime,
conversationId: this.conversationId,
}
console.error("[DIFY DEBUG] No content was yielded! Diagnostic info:", diagnosticInfo)
// If we have any accumulated text at all, yield it as a fallback
if (fullText.trim()) {
console.log("[DIFY DEBUG] Yielding accumulated text as fallback:", fullText)
yield {
type: "text",
text: fullText,
}
} else {
// Provide a more informative error
throw new Error(
`Dify API did not provide any assistant messages. ` +
`Events processed: [${processedEvents.join(", ")}]. ` +
`Check your Dify application configuration and ensure it's properly set up to return responses. ` +
`API URL: ${fullUrl}. Conversation ID: ${this.conversationId || "none"}.`,
)
}
}
} finally {
reader.releaseLock()
console.log("[DIFY DEBUG] Stream reader released")
}
}
private convertMessagesToQuery(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): string {
// Dify's context is managed by `conversation_id`. The `query` should be the last user message.
// The system prompt is typically configured in the Dify App itself.
const lastUserMessage = messages.filter((m) => m.role === "user").pop()
if (!lastUserMessage) {
return "" // Should not happen in normal flow
}
const userQuery = Array.isArray(lastUserMessage.content)
? lastUserMessage.content.map((c) => ("text" in c ? c.text : "")).join("\n")
: (lastUserMessage.content as string)
// Only prepend the system prompt if it's the very first message of a new conversation.
if (!this.conversationId && systemPrompt) {
console.log("[DIFY DEBUG] Prepending system prompt for new conversation.")
return `${systemPrompt}\n\n---\n\n${userQuery}`
}
return userQuery
}
getModel(): { id: string; info: ModelInfo } {
return {
id: "dify-workflow",
info: {
maxTokens: 8192,
contextWindow: 128000,
supportsImages: true,
supportsPromptCache: false,
inputPrice: 0,
outputPrice: 0,
description: "Dify workflow - model selection is configured in your Dify application",
},
}
}
// Additional Dify API Methods
/**
* Upload a file for use in conversations
* @param file File buffer to upload
* @param filename Name of the file
* @param user User identifier (defaults to "cline-user")
* @returns Promise with file upload response
*/
async uploadFile(file: Buffer, filename: string, user: string = "cline-user"): Promise<DifyFileResponse> {
const formData = new FormData()
formData.append("file", new Blob([new Uint8Array(file)]), filename)
formData.append("user", user)
const response = await fetch(`${this.baseUrl}/files/upload`, {
method: "POST",
headers: {
Authorization: `Bearer ${this.apiKey}`,
},
body: formData,
})
if (!response.ok) {
const errorText = await response.text()
throw new Error(`Dify file upload error: ${response.status} ${response.statusText} - ${errorText}`)
}
return response.json()
}
/**
* Stop generation for a specific task
* @param taskId Task ID from streaming response
* @param user User identifier (defaults to "cline-user")
* @returns Promise that resolves when generation is stopped
*/
async stopGeneration(taskId: string, user: string = "cline-user"): Promise<void> {
const response = await fetch(`${this.baseUrl}/chat-messages/${taskId}/stop`, {
method: "POST",
headers: {
Authorization: `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ user }),
})
if (!response.ok) {
const errorText = await response.text()
throw new Error(`Dify stop generation error: ${response.status} ${response.statusText} - ${errorText}`)
}
}
/**
* Get conversation history messages with pagination
* @param conversationId Conversation ID
* @param user User identifier (defaults to "cline-user")
* @param firstId First message ID for pagination (optional)
* @param limit Number of messages to return (default: 20)
* @returns Promise with conversation history
*/
async getConversationHistory(
conversationId: string,
user: string = "cline-user",
firstId?: string,
limit: number = 20,
): Promise<DifyHistoryResponse> {
const params = new URLSearchParams({ user, limit: limit.toString() })
if (firstId) {
params.append("first_id", firstId)
}
const response = await fetch(`${this.baseUrl}/conversations/${conversationId}/messages?${params}`, {
headers: {
Authorization: `Bearer ${this.apiKey}`,
},
})
if (!response.ok) {
const errorText = await response.text()
throw new Error(`Dify get conversation history error: ${response.status} ${response.statusText} - ${errorText}`)
}
return response.json()
}
/**
* Get list of conversations for a user
* @param user User identifier (defaults to "cline-user")
* @param lastId Last conversation ID for pagination (optional)
* @param limit Number of conversations to return (default: 20)
* @param sortBy Sort field (default: "-updated_at")
* @returns Promise with conversations list
*/
async getConversations(
user: string = "cline-user",
lastId?: string,
limit: number = 20,
sortBy: string = "-updated_at",
): Promise<DifyConversationsResponse> {
const params = new URLSearchParams({
user,
limit: limit.toString(),
sort_by: sortBy,
})
if (lastId) {
params.append("last_id", lastId)
}
const response = await fetch(`${this.baseUrl}/conversations?${params}`, {
headers: {
Authorization: `Bearer ${this.apiKey}`,
},
})
if (!response.ok) {
const errorText = await response.text()
throw new Error(`Dify get conversations error: ${response.status} ${response.statusText} - ${errorText}`)
}
return response.json()
}
/**
* Delete a conversation
* @param conversationId Conversation ID to delete
* @param user User identifier (defaults to "cline-user")
* @returns Promise that resolves when conversation is deleted
*/
async deleteConversation(conversationId: string, user: string = "cline-user"): Promise<void> {
const response = await fetch(`${this.baseUrl}/conversations/${conversationId}`, {
method: "DELETE",
headers: {
Authorization: `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ user }),
})
if (!response.ok) {
const errorText = await response.text()
throw new Error(`Dify delete conversation error: ${response.status} ${response.statusText} - ${errorText}`)
}
}
/**
* Rename a conversation
* @param conversationId Conversation ID to rename
* @param user User identifier (defaults to "cline-user")
* @param name New conversation name (optional if auto_generate is true)
* @param autoGenerate Whether to auto-generate the name (default: false)
* @returns Promise with updated conversation details
*/
async renameConversation(
conversationId: string,
user: string = "cline-user",
name?: string,
autoGenerate: boolean = false,
): Promise<DifyConversationResponse> {
const body: any = { user, auto_generate: autoGenerate }
if (name) {
body.name = name
}
const response = await fetch(`${this.baseUrl}/conversations/${conversationId}/name`, {
method: "POST",
headers: {
Authorization: `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify(body),
})
if (!response.ok) {
const errorText = await response.text()
throw new Error(`Dify rename conversation error: ${response.status} ${response.statusText} - ${errorText}`)
}
return response.json()
}
/**
* Submit feedback for a message
* @param messageId Message ID to provide feedback for
* @param rating Rating: "like" or "dislike"
* @param content Optional feedback content
* @param user User identifier (defaults to "cline-user")
* @returns Promise that resolves when feedback is submitted
*/
async submitMessageFeedback(
messageId: string,
rating: "like" | "dislike",
content?: string,
user: string = "cline-user",
): Promise<void> {
const body: any = { rating, user }
if (content) {
body.content = content
}
const response = await fetch(`${this.baseUrl}/messages/${messageId}/feedbacks`, {
method: "POST",
headers: {
Authorization: `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify(body),
})
if (!response.ok) {
const errorText = await response.text()
throw new Error(`Dify submit feedback error: ${response.status} ${response.statusText} - ${errorText}`)
}
}
/**
* Get current conversation ID
* @returns Current conversation ID or null
*/
getCurrentConversationId(): string | null {
return this.conversationId
}
/**
* Set conversation ID for continuing existing conversations
* @param conversationId Conversation ID to set
*/
setConversationId(conversationId: string): void {
this.conversationId = conversationId
}
/**
* Reset conversation ID to start a new conversation
*/
resetConversation(): void {
this.conversationId = null
this.currentTaskId = null
}
}
+19 -68
View File
@@ -1,18 +1,16 @@
import type { Anthropic } from "@anthropic-ai/sdk"
// Restore GenerateContentConfig import and add GenerateContentResponseUsageMetadata
import { ApiError, type GenerateContentConfig, type GenerateContentResponseUsageMetadata, GoogleGenAI, Part } from "@google/genai"
import { type GenerateContentConfig, type GenerateContentResponseUsageMetadata, GoogleGenAI, Part } from "@google/genai"
import { telemetryService } from "@services/posthog/PostHogClientProvider"
import { GeminiModelId, geminiDefaultModelId, geminiModels, ModelInfo } from "@shared/api"
import { telemetryService } from "@/services/telemetry"
import { ApiHandler, CommonApiHandlerOptions } from "../"
import { RetriableError, withRetry } from "../retry"
import { withRetry } from "../retry"
import { convertAnthropicMessageToGemini } from "../transform/gemini-format"
import { ApiStream } from "../transform/stream"
// Define a default TTL for the cache (e.g., 15 minutes in seconds)
const _DEFAULT_CACHE_TTL_SECONDS = 900
const rateLimitPatterns = [/got status: 429/i, /429 Too Many Requests/i, /rate limit exceeded/i, /too many requests/i]
interface GeminiHandlerOptions extends CommonApiHandlerOptions {
isVertex?: boolean
vertexProjectId?: string
@@ -224,40 +222,24 @@ export class GeminiHandler implements ApiHandler {
if (error instanceof Error) {
apiError = error.message
if (error instanceof ApiError) {
if (error.status === 429) {
// The API includes more details in the message
// https://github.com/googleapis/js-genai/blob/v1.11.0/src/_api_client.ts#L758
const response = this.attemptParse(error.message)
// 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,
]
if (response && response.error) {
const responseBody = this.attemptParse(response.error.message)
const isRateLimit =
error.name === "ClientError" && rateLimitPatterns.some((pattern) => pattern.test(error.message))
if (responseBody.error) {
const detail = responseBody.error.details?.find(
(d: any) => d["@type"] === "type.googleapis.com/google.rpc.RetryInfo",
)
const detailedError = new RetriableError(
apiError,
this.parseRetryDelay(detail?.retryDelay) || undefined,
{
cause: error,
},
)
throw detailedError
}
}
throw new RetriableError(apiError, undefined, { cause: error })
}
// Fallback in case Gemini throws a rate limit error without a 429 status code
// https://github.com/cline/cline/pull/5205#discussion_r2311761559
const isRateLimit = rateLimitPatterns.some((pattern) => pattern.test(error.message))
if (isRateLimit) {
throw new RetriableError(apiError, undefined, { cause: error })
}
if (isRateLimit) {
const rateLimitError = Object.assign(new Error(error.message), {
...error,
status: 429,
})
throw rateLimitError
}
} else {
apiError = String(error)
@@ -438,35 +420,4 @@ export class GeminiHandler implements ApiHandler {
return Math.ceil(totalChars / 4)
}
private parseRetryDelay(retryAfter?: string): number {
if (!retryAfter) {
return 0
}
const unit = retryAfter.at(-1)
const value = parseInt(retryAfter, 10)
if (Number.isNaN(value)) {
return 0
}
if (unit === "s") {
return value
} else if (unit === "m") {
return value * 60 // Convert minutes to seconds
} else if (unit === "h") {
return value * 60 * 60 // Convert hours to seconds
}
return value
}
private attemptParse(str: string) {
try {
return JSON.parse(str)
} catch (_) {
return null
}
}
}
+2 -2
View File
@@ -1,12 +1,12 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { HuaweiCloudMaasModelId, huaweiCloudMaasDefaultModelId, huaweiCloudMaasModels, ModelInfo } from "@shared/api"
import OpenAI from "openai"
import { ApiHandler, CommonApiHandlerOptions } from ".."
import { ApiHandler } from ".."
import { withRetry } from "../retry"
import { convertToOpenAiMessages } from "../transform/openai-format"
import { ApiStream } from "../transform/stream"
interface HuaweiCloudMaaSHandlerOptions extends CommonApiHandlerOptions {
interface HuaweiCloudMaaSHandlerOptions {
huaweiCloudMaasApiKey?: string
huaweiCloudMaasModelId?: string
huaweiCloudMaasModelInfo?: ModelInfo
+37 -83
View File
@@ -1,7 +1,6 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { LiteLLMModelInfo, liteLlmDefaultModelId, liteLlmModelInfoSaneDefaults } from "@shared/api"
import OpenAI from "openai"
import { isAnthropicModelId } from "@/utils/model-utils"
import { ApiHandler, CommonApiHandlerOptions } from ".."
import { withRetry } from "../retry"
import { convertToOpenAiMessages } from "../transform/openai-format"
@@ -17,7 +16,7 @@ interface LiteLlmHandlerOptions extends CommonApiHandlerOptions {
ulid?: string
}
export interface LiteLlmModelInfoResponse {
interface LiteLlmModelInfoResponse {
data: Array<{
model_name: string
litellm_params: {
@@ -29,7 +28,6 @@ export interface LiteLlmModelInfoResponse {
output_cost_per_token: number
cache_creation_input_token_cost?: number
cache_read_input_token_cost?: number
supports_prompt_caching?: boolean
[key: string]: any
}
}>
@@ -63,17 +61,7 @@ export class LiteLlmHandler implements ApiHandler {
return this.client
}
private async modelInfo(publicModelName: string): Promise<LiteLlmModelInfoResponse["data"][number] | undefined> {
const modelInfo = await this.fetchModelsInfo()
if (!modelInfo?.data) {
return undefined
}
return modelInfo.data.find((model) => model.model_name === publicModelName)
}
private async fetchModelsInfo(): Promise<LiteLlmModelInfoResponse | undefined> {
private async fetchModelInfo(): Promise<LiteLlmModelInfoResponse | undefined> {
// Check if cache is still valid
const now = Date.now()
if (this.modelInfoCache && now - this.modelInfoCacheTimestamp < this.modelInfoCacheTTL) {
@@ -133,14 +121,19 @@ export class LiteLlmHandler implements ApiHandler {
cacheReadCostPerToken?: number
}> {
try {
const matchingModel = await this.modelInfo(publicModelName)
const modelInfo = await this.fetchModelInfo()
if (matchingModel) {
return {
inputCostPerToken: matchingModel.model_info.input_cost_per_token || 0,
outputCostPerToken: matchingModel.model_info.output_cost_per_token || 0,
cacheCreationCostPerToken: matchingModel.model_info.cache_creation_input_token_cost,
cacheReadCostPerToken: matchingModel.model_info.cache_read_input_token_cost,
if (modelInfo?.data) {
// Find the model by public name
const matchingModel = modelInfo.data.find((model) => model.model_name === publicModelName)
if (matchingModel?.model_info) {
return {
inputCostPerToken: matchingModel.model_info.input_cost_per_token || 0,
outputCostPerToken: matchingModel.model_info.output_cost_per_token || 0,
cacheCreationCostPerToken: matchingModel.model_info.cache_creation_input_token_cost,
cacheReadCostPerToken: matchingModel.model_info.cache_read_input_token_cost,
}
}
}
} catch (error) {
@@ -184,7 +177,7 @@ export class LiteLlmHandler implements ApiHandler {
async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
const client = this.ensureClient()
const formattedMessages = convertToOpenAiMessages(messages)
const systemMessage: OpenAI.Chat.ChatCompletionSystemMessageParam | Anthropic.Messages.TextBlockParam = {
const systemMessage: OpenAI.Chat.ChatCompletionSystemMessageParam = {
role: "system",
content: systemPrompt,
}
@@ -198,26 +191,17 @@ export class LiteLlmHandler implements ApiHandler {
let temperature: number | undefined = this.options.liteLlmModelInfo?.temperature ?? 0
if ((isOminiModel || isAnthropicModelId(modelId)) && reasoningOn) {
temperature = undefined // OAI omni and Anthropic extended thinking mode doesn't support temperature
if (isOminiModel && reasoningOn) {
temperature = undefined // Thinking mode doesn't support temperature
}
const modelInfo = await this.modelInfo(modelId)
const cacheControl =
this.options.liteLlmUsePromptCache && Boolean(modelInfo?.model_info.supports_prompt_caching)
? { cache_control: { type: "ephemeral" } }
: undefined
// Define cache control object if prompt caching is enabled
const cacheControl = this.options.liteLlmUsePromptCache ? { cache_control: { type: "ephemeral" } } : undefined
if (cacheControl) {
// Add cache_control to system message if enabled
// https://docs.litellm.ai/docs/providers/anthropic#caching---large-context-caching
systemMessage.content = [
{
text: systemPrompt,
type: "text",
...cacheControl,
},
] as Anthropic.Messages.TextBlockParam[]
// Add cache_control to system message if enabled
const enhancedSystemMessage = {
...systemMessage,
...(cacheControl && cacheControl),
}
// Find the last two user messages to apply caching
@@ -229,49 +213,19 @@ export class LiteLlmHandler implements ApiHandler {
const secondLastUserMsgIndex = userMsgIndices[userMsgIndices.length - 2] ?? -1
// Apply cache_control to the last two user messages if enabled
// https://docs.litellm.ai/docs/providers/anthropic#caching---large-context-caching
const enhancedMessages: OpenAI.Chat.ChatCompletionMessageParam[] = formattedMessages.map(
(message, index): OpenAI.Chat.ChatCompletionMessageParam => {
if ((index === lastUserMsgIndex || index === secondLastUserMsgIndex) && cacheControl) {
// Handle both string and array content types
if (typeof message.content === "string") {
return {
...message,
content: [
{
type: "text",
text: message.content,
...cacheControl,
},
] as any,
}
} else if (Array.isArray(message.content)) {
// Apply cache control to the last content item in the array
return {
...message,
content: message.content.map((item, contentIndex) =>
contentIndex === (message.content?.length || 0) - 1
? {
...item,
...cacheControl,
}
: item,
) as any,
}
}
return {
...message,
...cacheControl,
}
const enhancedMessages = formattedMessages.map((message, index) => {
if ((index === lastUserMsgIndex || index === secondLastUserMsgIndex) && cacheControl) {
return {
...message,
...cacheControl,
}
return message
},
)
}
return message
})
const stream = await client.chat.completions.create({
model: this.options.liteLlmModelId || liteLlmDefaultModelId,
messages: [systemMessage, ...enhancedMessages],
messages: [enhancedSystemMessage, ...enhancedMessages],
temperature,
stream: true,
stream_options: { include_usage: true },
@@ -290,16 +244,16 @@ export class LiteLlmHandler implements ApiHandler {
}
}
// Handle reasoning events
// This is not in the standard types but may be in the response
// Handle reasoning events (thinking)
// Thinking is not in the standard types but may be in the response
interface ThinkingDelta {
reasoning_content?: string
thinking?: string
}
if ((delta as ThinkingDelta)?.reasoning_content) {
if ((delta as ThinkingDelta)?.thinking) {
yield {
type: "reasoning",
reasoning: (delta as ThinkingDelta).reasoning_content || "",
reasoning: (delta as ThinkingDelta).thinking || "",
}
}
+1 -1
View File
@@ -29,7 +29,7 @@ export class OllamaHandler implements ApiHandler {
if (!this.client) {
try {
const clientOptions: Partial<Config> = {
host: this.options.ollamaBaseUrl,
host: this.options.ollamaBaseUrl || "http://localhost:11434",
}
// Add API key if provided (for Ollama cloud or authenticated instances)
+2 -2
View File
@@ -4,7 +4,7 @@ import { ModelInfo, QwenCodeModelId, qwenCodeDefaultModelId, qwenCodeModels } fr
import OpenAI from "openai"
import * as os from "os"
import * as path from "path"
import { ApiHandler, CommonApiHandlerOptions } from "../"
import { ApiHandler } from "../"
import { withRetry } from "../retry"
import { convertToOpenAiMessages } from "../transform/openai-format"
import { ApiStream } from "../transform/stream"
@@ -24,7 +24,7 @@ interface QwenOAuthCredentials {
resource_url?: string
}
interface QwenCodeHandlerOptions extends CommonApiHandlerOptions {
interface QwenCodeHandlerOptions {
qwenCodeOauthPath?: string
apiModelId?: string
}
+2 -2
View File
@@ -2,7 +2,6 @@ import { Anthropic } from "@anthropic-ai/sdk"
import { ModelInfo, requestyDefaultModelId, requestyDefaultModelInfo } from "@shared/api"
import { calculateApiCostOpenAI } from "@utils/cost"
import OpenAI from "openai"
import { toRequestyServiceStringUrl } from "@/shared/providers/requesty"
import { ApiHandler, CommonApiHandlerOptions } from "../index"
import { withRetry } from "../retry"
import { convertToOpenAiMessages } from "../transform/openai-format"
@@ -42,7 +41,7 @@ export class RequestyHandler implements ApiHandler {
}
try {
this.client = new OpenAI({
baseURL: toRequestyServiceStringUrl(this.options.requestyBaseUrl),
baseURL: this.options.requestyBaseUrl || "https://router.requesty.ai/v1",
apiKey: this.options.requestyApiKey,
defaultHeaders: {
"HTTP-Referer": "https://cline.bot",
@@ -83,6 +82,7 @@ export class RequestyHandler implements ApiHandler {
? thinking
: {}
// @ts-ignore-next-line
const stream = await client.chat.completions.create({
model: model.id,
max_tokens: model.info.maxTokens || undefined,
+8 -113
View File
@@ -4,7 +4,6 @@ import {
ConversationRole as BedrockConversationRole,
type Message as BedrockMessage,
} from "@aws-sdk/client-bedrock-runtime"
import { ChatMessages, LlmModuleConfig, OrchestrationClient, TemplatingModuleConfig } from "@sap-ai-sdk/orchestration"
import { ModelInfo, SapAiCoreModelId, sapAiCoreDefaultModelId, sapAiCoreModels } from "@shared/api"
import axios from "axios"
import OpenAI from "openai"
@@ -19,9 +18,7 @@ interface SapAiCoreHandlerOptions extends CommonApiHandlerOptions {
sapAiResourceGroup?: string
sapAiCoreBaseUrl?: string
apiModelId?: string
sapAiCoreUseOrchestrationMode?: boolean
thinkingBudgetTokens?: number
deploymentId?: string
reasoningEffort?: string
}
@@ -29,7 +26,6 @@ interface Deployment {
id: string
name: string
}
interface Token {
access_token: string
expires_in: number
@@ -354,33 +350,19 @@ export class SapAiCoreHandler implements ApiHandler {
private options: SapAiCoreHandlerOptions
private token?: Token
private deployments?: Deployment[]
private isAiCoreEnvSetup: boolean = false
constructor(options: SapAiCoreHandlerOptions) {
this.options = options
}
private validateCredentials(): void {
if (
!this.options.sapAiCoreClientId ||
!this.options.sapAiCoreClientSecret ||
!this.options.sapAiCoreTokenUrl ||
!this.options.sapAiCoreBaseUrl
) {
throw new Error("Missing required SAP AI Core credentials. Please check your configuration.")
}
}
private async authenticate(): Promise<Token> {
this.validateCredentials()
const payload = {
grant_type: "client_credentials",
client_id: this.options.sapAiCoreClientId,
client_secret: this.options.sapAiCoreClientSecret,
client_id: this.options.sapAiCoreClientId || "",
client_secret: this.options.sapAiCoreClientSecret || "",
}
const tokenUrl = this.options.sapAiCoreTokenUrl!.replace(/\/+$/, "") + "/oauth/token"
const tokenUrl = (this.options.sapAiCoreTokenUrl || "").replace(/\/+$/, "") + "/oauth/token"
const response = await axios.post(tokenUrl, payload, {
headers: { "Content-Type": "application/x-www-form-urlencoded" },
})
@@ -396,8 +378,11 @@ export class SapAiCoreHandler implements ApiHandler {
return this.token.access_token
}
// TODO: these fallback fetching deployment id methods can be removed in future version if decided that users migration to fetching deployment id in design-time (open SAP AI Core provider UI) considered as completed.
private async getAiCoreDeployments(): Promise<Deployment[]> {
if (this.options.sapAiCoreClientSecret === "") {
return [{ id: "notconfigured", name: "ai-core-not-configured" }]
}
const token = await this.getToken()
const headers = {
Authorization: `Bearer ${token}`,
@@ -455,86 +440,6 @@ export class SapAiCoreHandler implements ApiHandler {
}
async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
if (this.options.sapAiCoreUseOrchestrationMode ?? true) {
yield* this.createMessageWithOrchestration(systemPrompt, messages)
} else {
yield* this.createMessageWithDeployments(systemPrompt, messages)
}
}
// TODO: support credentials changes after initial setup
private ensureAiCoreEnvSetup(): void {
// Only set up once to avoid redundant operations
if (this.isAiCoreEnvSetup) {
return
}
// Validate required credentials
this.validateCredentials()
const aiCoreServiceCredentials = {
clientid: this.options.sapAiCoreClientId!,
clientsecret: this.options.sapAiCoreClientSecret!,
url: this.options.sapAiCoreTokenUrl!,
serviceurls: {
AI_API_URL: this.options.sapAiCoreBaseUrl!,
},
}
process.env["AICORE_SERVICE_KEY"] = JSON.stringify(aiCoreServiceCredentials)
// Mark as set up to avoid redundant calls
this.isAiCoreEnvSetup = true
}
private async *createMessageWithOrchestration(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
try {
// Ensure AI Core environment variable is set up (only runs once)
this.ensureAiCoreEnvSetup()
const model = this.getModel()
// Define the LLM to be used by the Orchestration pipeline
const llm: LlmModuleConfig = {
model_name: model.id,
}
const templating: TemplatingModuleConfig = {
template: [
{
role: "system",
content: systemPrompt,
},
],
}
const orchestrationClient = new OrchestrationClient(
{ llm, templating },
{ resourceGroup: this.options.sapAiResourceGroup || "default" },
)
const sapMessages = this.convertMessageParamToSAPMessages(messages)
const response = await orchestrationClient.stream({
messages: sapMessages,
})
for await (const chunk of response.stream.toContentStream()) {
yield { type: "text", text: chunk }
}
const tokenUsage = response.getTokenUsage()
if (tokenUsage) {
yield {
type: "usage",
inputTokens: tokenUsage.prompt_tokens || 0,
outputTokens: tokenUsage.completion_tokens || 0,
}
}
} catch (error) {
console.error("Error in SAP orchestration mode:", error)
throw error
}
}
private async *createMessageWithDeployments(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
const token = await this.getToken()
const headers = {
Authorization: `Bearer ${token}`,
@@ -544,13 +449,7 @@ export class SapAiCoreHandler implements ApiHandler {
}
const model = this.getModel()
let deploymentId = this.options.deploymentId
if (!deploymentId) {
// Fallback to runtime deployment id fetching for users who haven't opened the SAP provider UI
console.log(`No pre-configured deployment ID found for model ${model.id}, falling back to runtime fetching`)
deploymentId = await this.getDeploymentForModel(model.id)
}
const deploymentId = await this.getDeploymentForModel(model.id)
const anthropicModels = [
"anthropic--claude-4-sonnet",
@@ -1035,8 +934,4 @@ export class SapAiCoreHandler implements ApiHandler {
}
return { id: sapAiCoreDefaultModelId, info: sapAiCoreModels[sapAiCoreDefaultModelId] }
}
private convertMessageParamToSAPMessages(messages: Anthropic.Messages.MessageParam[]): ChatMessages {
// Use the existing OpenAI converter since the logic is identical
return convertToOpenAiMessages(messages) as ChatMessages
}
}
+2 -2
View File
@@ -1,12 +1,12 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { ModelInfo, vercelAiGatewayDefaultModelId, vercelAiGatewayDefaultModelInfo } from "@shared/api"
import OpenAI from "openai"
import { ApiHandler, CommonApiHandlerOptions } from "../index"
import { ApiHandler } from "../index"
import { withRetry } from "../retry"
import { ApiStream } from "../transform/stream"
import { createVercelAIGatewayStream } from "../transform/vercel-ai-gateway-stream"
interface VercelAIGatewayHandlerOptions extends CommonApiHandlerOptions {
interface VercelAIGatewayHandlerOptions {
vercelAiGatewayApiKey?: string
vercelAiGatewayModelId?: string
vercelAiGatewayModelInfo?: ModelInfo
+1 -1
View File
@@ -3,7 +3,7 @@ import { ModelInfo, openAiModelInfoSaneDefaults } from "@shared/api"
import { SELECTOR_SEPARATOR, stringifyVsCodeLmModelSelector } from "@shared/vsCodeSelectorUtils"
import { calculateApiCostAnthropic } from "@utils/cost"
import * as vscode from "vscode"
import { ApiHandler, CommonApiHandlerOptions, SingleCompletionHandler } from "../"
import { ApiHandler, SingleCompletionHandler, CommonApiHandlerOptions } from "../"
import { withRetry } from "../retry"
import { ApiStream } from "../transform/stream"
import { convertToVsCodeLmMessages } from "../transform/vscode-lm-format"
+2 -2
View File
@@ -10,12 +10,12 @@ import {
} from "@shared/api"
import OpenAI from "openai"
import { version as extensionVersion } from "../../../../package.json"
import { ApiHandler, CommonApiHandlerOptions } from ".."
import { ApiHandler } from ".."
import { withRetry } from "../retry"
import { convertToOpenAiMessages } from "../transform/openai-format"
import { ApiStream } from "../transform/stream"
interface ZAiHandlerOptions extends CommonApiHandlerOptions {
interface ZAiHandlerOptions {
zaiApiLine?: string
zaiApiKey?: string
apiModelId?: string
+2 -15
View File
@@ -12,18 +12,6 @@ const DEFAULT_OPTIONS: Required<RetryOptions> = {
retryAllErrors: false,
}
export class RetriableError extends Error {
status: number = 429
retryAfter?: number
constructor(message: string, retryAfter?: number, options?: ErrorOptions) {
super(message, options)
this.name = "RetriableError"
this.retryAfter = retryAfter
}
}
export function withRetry(options: RetryOptions = {}) {
const { maxRetries, baseDelay, maxDelay, retryAllErrors } = { ...DEFAULT_OPTIONS, ...options }
@@ -36,7 +24,7 @@ export function withRetry(options: RetryOptions = {}) {
yield* originalMethod.apply(this, args)
return
} catch (error: any) {
const isRateLimit = error?.status === 429 || error instanceof RetriableError
const isRateLimit = error?.status === 429
const isLastAttempt = attempt === maxRetries - 1
if ((!isRateLimit && !retryAllErrors) || isLastAttempt) {
@@ -48,8 +36,7 @@ export function withRetry(options: RetryOptions = {}) {
const retryAfter =
error.headers?.["retry-after"] ||
error.headers?.["x-ratelimit-reset"] ||
error.headers?.["ratelimit-reset"] ||
error.retryAfter
error.headers?.["ratelimit-reset"]
let delay: number
if (retryAfter) {
@@ -1,6 +1,7 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { CLAUDE_SONNET_4_1M_SUFFIX, ModelInfo, openRouterClaudeSonnet41mModelId } from "@shared/api"
import OpenAI from "openai"
import { isGPT5ModelFamily } from "../../prompts/system-prompt/utils"
import { convertToOpenAiMessages } from "./openai-format"
import { convertToR1Format } from "./r1-format"
@@ -151,6 +152,17 @@ 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
// 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
}
if (isGPT5ModelFamily(model.id)) {
shouldApplyMiddleOutTransform = false
}
// hardcoded provider sorting for kimi-k2
const isKimiK2 = model.id === "moonshotai/kimi-k2"
openRouterProviderSorting = isKimiK2 ? undefined : openRouterProviderSorting
@@ -164,6 +176,7 @@ export async function createOpenRouterStream(
messages: openAiMessages,
stream: true,
stream_options: { include_usage: true },
transforms: shouldApplyMiddleOutTransform ? ["middle-out"] : undefined,
include_reasoning: true,
...(model.id.startsWith("openai/o") ? { reasoning_effort: reasoningEffort || "medium" } : {}),
...(reasoning ? { reasoning } : {}),
+27 -2
View File
@@ -1,4 +1,3 @@
import { ClineDefaultTool } from "@shared/tools"
export type AssistantMessageContent = TextContent | ToolUse
export { parseAssistantMessageV2 } from "./parse-assistant-message"
@@ -9,6 +8,32 @@ export interface TextContent {
partial: boolean
}
export const toolUseNames = [
"execute_command",
"read_file",
"write_to_file",
"replace_in_file",
"search_files",
"list_files",
"list_code_definition_names",
"browser_action",
"use_mcp_tool",
"access_mcp_resource",
"ask_followup_question",
"plan_mode_respond",
"load_mcp_documentation",
"attempt_completion",
"new_task",
"condense",
"summarize_task",
"report_bug",
"new_rule",
"web_fetch",
] as const
// Converts array of tool call names into a union type ("execute_command" | "read_file" | ...)
export type ToolUseName = (typeof toolUseNames)[number]
export const toolParamNames = [
"command",
"requires_approval",
@@ -44,7 +69,7 @@ export type ToolParamName = (typeof toolParamNames)[number]
export interface ToolUse {
type: "tool_use"
name: ClineDefaultTool // id of the tool being used
name: ToolUseName
// params is a partial record, allowing only some or none of the possible parameters to be used
params: Partial<Record<ToolParamName, string>>
partial: boolean
@@ -1,5 +1,4 @@
import { ClineDefaultTool, toolUseNames } from "@shared/tools"
import { AssistantMessageContent, TextContent, ToolParamName, ToolUse, toolParamNames } from "." // Assuming types are defined in index.ts or a similar file
import { AssistantMessageContent, TextContent, ToolParamName, ToolUse, ToolUseName, toolParamNames, toolUseNames } from "." // Assuming types are defined in index.ts or a similar file
// parseAssistantmessageV1 removed in https://github.com/cline/cline/pull/5425
@@ -34,7 +33,7 @@ export function parseAssistantMessageV2(assistantMessage: string): AssistantMess
let currentParamName: ToolParamName | undefined
// Precompute tags for faster lookups
const toolUseOpenTags = new Map<string, ClineDefaultTool>()
const toolUseOpenTags = new Map<string, ToolUseName>()
const toolParamOpenTags = new Map<string, ToolParamName>()
for (const name of toolUseNames) {
toolUseOpenTags.set(`<${name}>`, name)
@@ -291,7 +291,7 @@ export class ContextManager {
// Make sure that the last message being removed is a assistant message, so the next message after the initial user-assistant pair is an assistant message. This preserves the user-assistant-user-assistant structure.
// NOTE: anthropic format messages are always user-assistant-user-assistant, while openai format messages can have multiple user messages in a row (we use anthropic format throughout cline)
if (apiMessages[rangeEndIndex] && apiMessages[rangeEndIndex].role !== "assistant") {
if (apiMessages[rangeEndIndex].role !== "assistant") {
rangeEndIndex -= 1
}
@@ -1,9 +1,10 @@
import { getTaskMetadata, readTaskHistoryFromState, saveTaskMetadata } from "@core/storage/disk"
import { getTaskMetadata, saveTaskMetadata } from "@core/storage/disk"
import type { ClineMessage } from "@shared/ExtensionMessage"
import chokidar, { FSWatcher } from "chokidar"
import * as path from "path"
import * as vscode from "vscode"
import { Controller } from "@/core/controller"
import { HistoryItem } from "@/shared/HistoryItem"
import { getCwd } from "@/utils/path"
import type { FileMetadataEntry } from "./ContextTrackerTypes"
@@ -242,7 +243,7 @@ export class FileContextTracker {
const key = `pendingFileContextWarning_${this.taskId}`
// NOTE: Using 'as any' because dynamic keys like pendingFileContextWarning_${taskId}
// are legitimate workspace state keys but don't fit the strict LocalStateKey type system
this.controller.stateManager.setWorkspaceState(key as any, files)
this.controller.cacheService.setWorkspaceState(key as any, files)
} catch (error) {
console.error("Error storing pending file context warning:", error)
}
@@ -254,7 +255,7 @@ export class FileContextTracker {
async retrievePendingFileContextWarning(): Promise<string[] | undefined> {
try {
const key = `pendingFileContextWarning_${this.taskId}`
const files = this.controller.stateManager.getWorkspaceStateKey(key as any) as string[]
const files = this.controller.cacheService.getWorkspaceStateKey(key as any) as string[]
return files
} catch (error) {
console.error("Error retrieving pending file context warning:", error)
@@ -269,7 +270,7 @@ export class FileContextTracker {
try {
const files = await this.retrievePendingFileContextWarning()
if (files) {
this.controller.stateManager.setWorkspaceState(`pendingFileContextWarning_${this.taskId}` as any, undefined)
this.controller.cacheService.setWorkspaceState(`pendingFileContextWarning_${this.taskId}` as any, undefined)
return files
}
} catch (error) {
@@ -285,7 +286,8 @@ export class FileContextTracker {
static async cleanupOrphanedWarnings(context: vscode.ExtensionContext): Promise<void> {
const startTime = Date.now()
try {
const taskHistory = await readTaskHistoryFromState(context)
// eslint-disable-next-line eslint-rules/no-direct-vscode-state-api
const taskHistory = (context.globalState.get("taskHistory") as HistoryItem[]) || []
const existingTaskIds = new Set(taskHistory.map((task) => task.id))
const allStateKeys = context.workspaceState.keys()
const pendingWarningKeys = allStateKeys.filter((key) => key.startsWith("pendingFileContextWarning_"))
@@ -310,7 +312,7 @@ export class FileContextTracker {
`FileContextTracker: Processed ${existingTaskIds.size} tasks, found ${pendingWarningKeys.length} pending warnings, ${orphanedPendingContextTasks.length} orphaned, deleted ${orphanedPendingContextTasks.length}, took ${duration}ms`,
)
} catch (error) {
console.error("[FileContextTracker] Error cleaning up orphaned file context warnings:", error)
console.error("Error cleaning up orphaned file context warnings:", error)
}
}
}
@@ -74,18 +74,18 @@ export async function refreshClineRulesToggles(
localToggles: ClineRulesToggles
}> {
// Global toggles
const globalClineRulesToggles = controller.stateManager.getGlobalStateKey("globalClineRulesToggles")
const globalClineRulesToggles = controller.cacheService.getGlobalStateKey("globalClineRulesToggles")
const globalClineRulesFilePath = await ensureRulesDirectoryExists()
const updatedGlobalToggles = await synchronizeRuleToggles(globalClineRulesFilePath, globalClineRulesToggles)
controller.stateManager.setGlobalState("globalClineRulesToggles", updatedGlobalToggles)
controller.cacheService.setGlobalState("globalClineRulesToggles", updatedGlobalToggles)
// Local toggles
const localClineRulesToggles = controller.stateManager.getWorkspaceStateKey("localClineRulesToggles")
const localClineRulesToggles = controller.cacheService.getWorkspaceStateKey("localClineRulesToggles")
const localClineRulesFilePath = path.resolve(workingDirectory, GlobalFileNames.clineRules)
const updatedLocalToggles = await synchronizeRuleToggles(localClineRulesFilePath, localClineRulesToggles, "", [
[".clinerules", "workflows"],
])
controller.stateManager.setWorkspaceState("localClineRulesToggles", updatedLocalToggles)
controller.cacheService.setWorkspaceState("localClineRulesToggles", updatedLocalToggles)
return {
globalToggles: updatedGlobalToggles,
@@ -23,13 +23,13 @@ export async function refreshExternalRulesToggles(
cursorLocalToggles: ClineRulesToggles
}> {
// local windsurf toggles
const localWindsurfRulesToggles = controller.stateManager.getWorkspaceStateKey("localWindsurfRulesToggles")
const localWindsurfRulesToggles = controller.cacheService.getWorkspaceStateKey("localWindsurfRulesToggles")
const localWindsurfRulesFilePath = path.resolve(workingDirectory, GlobalFileNames.windsurfRules)
const updatedLocalWindsurfToggles = await synchronizeRuleToggles(localWindsurfRulesFilePath, localWindsurfRulesToggles)
controller.stateManager.setWorkspaceState("localWindsurfRulesToggles", updatedLocalWindsurfToggles)
controller.cacheService.setWorkspaceState("localWindsurfRulesToggles", updatedLocalWindsurfToggles)
// local cursor toggles
const localCursorRulesToggles = controller.stateManager.getWorkspaceStateKey("localCursorRulesToggles")
const localCursorRulesToggles = controller.cacheService.getWorkspaceStateKey("localCursorRulesToggles")
// cursor has two valid locations for rules files, so we need to check both and combine
// synchronizeRuleToggles will drop whichever rules files are not in each given path, but combining the results will result in no data loss
@@ -40,7 +40,7 @@ export async function refreshExternalRulesToggles(
const updatedLocalCursorToggles2 = await synchronizeRuleToggles(localCursorRulesFilePath, localCursorRulesToggles)
const updatedLocalCursorToggles = combineRuleToggles(updatedLocalCursorToggles1, updatedLocalCursorToggles2)
controller.stateManager.setWorkspaceState("localCursorRulesToggles", updatedLocalCursorToggles)
controller.cacheService.setWorkspaceState("localCursorRulesToggles", updatedLocalCursorToggles)
return {
windsurfLocalToggles: updatedLocalWindsurfToggles,
@@ -247,31 +247,31 @@ export async function deleteRuleFile(
// Update the appropriate toggles
if (isGlobal) {
if (type === "workflow") {
const toggles = controller.stateManager.getGlobalStateKey("globalWorkflowToggles")
const toggles = controller.cacheService.getGlobalStateKey("globalWorkflowToggles")
delete toggles[rulePath]
controller.stateManager.setGlobalState("globalWorkflowToggles", toggles)
controller.cacheService.setGlobalState("globalWorkflowToggles", toggles)
} else {
const toggles = controller.stateManager.getGlobalStateKey("globalClineRulesToggles")
const toggles = controller.cacheService.getGlobalStateKey("globalClineRulesToggles")
delete toggles[rulePath]
controller.stateManager.setGlobalState("globalClineRulesToggles", toggles)
controller.cacheService.setGlobalState("globalClineRulesToggles", toggles)
}
} else {
if (type === "workflow") {
const toggles = controller.stateManager.getWorkspaceStateKey("workflowToggles")
const toggles = controller.cacheService.getWorkspaceStateKey("workflowToggles")
delete toggles[rulePath]
controller.stateManager.setWorkspaceState("workflowToggles", toggles)
controller.cacheService.setWorkspaceState("workflowToggles", toggles)
} else if (type === "cursor") {
const toggles = controller.stateManager.getWorkspaceStateKey("localCursorRulesToggles")
const toggles = controller.cacheService.getWorkspaceStateKey("localCursorRulesToggles")
delete toggles[rulePath]
controller.stateManager.setWorkspaceState("localCursorRulesToggles", toggles)
controller.cacheService.setWorkspaceState("localCursorRulesToggles", toggles)
} else if (type === "windsurf") {
const toggles = controller.stateManager.getWorkspaceStateKey("localWindsurfRulesToggles")
const toggles = controller.cacheService.getWorkspaceStateKey("localWindsurfRulesToggles")
delete toggles[rulePath]
controller.stateManager.setWorkspaceState("localWindsurfRulesToggles", toggles)
controller.cacheService.setWorkspaceState("localWindsurfRulesToggles", toggles)
} else {
const toggles = controller.stateManager.getWorkspaceStateKey("localClineRulesToggles")
const toggles = controller.cacheService.getWorkspaceStateKey("localClineRulesToggles")
delete toggles[rulePath]
controller.stateManager.setWorkspaceState("localClineRulesToggles", toggles)
controller.cacheService.setWorkspaceState("localClineRulesToggles", toggles)
}
}
@@ -15,15 +15,15 @@ export async function refreshWorkflowToggles(
localWorkflowToggles: ClineRulesToggles
}> {
// Global workflows
const globalWorkflowToggles = controller.stateManager.getGlobalStateKey("globalWorkflowToggles")
const globalWorkflowToggles = controller.cacheService.getGlobalStateKey("globalWorkflowToggles")
const globalClineWorkflowsFilePath = await ensureWorkflowsDirectoryExists()
const updatedGlobalWorkflowToggles = await synchronizeRuleToggles(globalClineWorkflowsFilePath, globalWorkflowToggles)
controller.stateManager.setGlobalState("globalWorkflowToggles", updatedGlobalWorkflowToggles)
controller.cacheService.setGlobalState("globalWorkflowToggles", updatedGlobalWorkflowToggles)
const workflowRulesToggles = controller.stateManager.getWorkspaceStateKey("workflowToggles")
const workflowRulesToggles = controller.cacheService.getWorkspaceStateKey("workflowToggles")
const workflowsDirPath = path.resolve(workingDirectory, GlobalFileNames.workflows)
const updatedWorkflowToggles = await synchronizeRuleToggles(workflowsDirPath, workflowRulesToggles)
controller.stateManager.setWorkspaceState("workflowToggles", updatedWorkflowToggles)
controller.cacheService.setWorkspaceState("workflowToggles", updatedWorkflowToggles)
return {
globalWorkflowToggles: updatedGlobalWorkflowToggles,
@@ -11,7 +11,7 @@ import type { Controller } from "../index"
export async function authStateChanged(controller: Controller, request: AuthStateChangedRequest): Promise<AuthState> {
try {
// Store the user info directly in global state
controller.stateManager.setGlobalState("userInfo", request.user)
controller.cacheService.setGlobalState("userInfo", request.user)
// Return the same user info
return AuthState.create({ user: request.user })
@@ -7,10 +7,10 @@ import { Controller } from ".."
* Initiates OpenRouter auth
*/
export async function openrouterAuthClicked(_: Controller, __: EmptyRequest): Promise<Empty> {
const callbackUrl = await HostProvider.get().getCallbackUrl()
const authUrl = `https://openrouter.ai/auth?callback_url=${callbackUrl}/openrouter`
const callbackUri = await HostProvider.get().getCallbackUri()
const authUri = `https://openrouter.ai/auth?callback_url=${callbackUri}/openrouter`
await openExternal(authUrl)
await openExternal(authUri)
return {}
}
@@ -19,7 +19,7 @@ export async function discoverBrowser(controller: Controller, _request: EmptyReq
// This way we don't override the user's preference
// Test the connection to get the endpoint
const browserSettings = controller.stateManager.getGlobalStateKey("browserSettings")
const browserSettings = controller.cacheService.getGlobalStateKey("browserSettings")
const browserSession = new BrowserSession(controller.context, browserSettings)
const result = await browserSession.testConnection(discoveredHost)
@@ -11,7 +11,7 @@ import { Controller } from "../index"
export async function getBrowserConnectionInfo(controller: Controller, _: EmptyRequest): Promise<BrowserConnectionInfo> {
try {
// Get browser settings from extension state
const browserSettings = controller.stateManager.getGlobalStateKey("browserSettings")
const browserSettings = controller.cacheService.getGlobalStateKey("browserSettings")
// Check if there's an active browser session by using the controller's handleWebviewMessage approach
// This is similar to what's done in controller/index.ts for the "getBrowserConnectionInfo" message
@@ -11,7 +11,7 @@ import { Controller } from "../index"
*/
export async function getDetectedChromePath(controller: Controller, _: EmptyRequest): Promise<ChromePath> {
try {
const browserSettings = controller.stateManager.getGlobalStateKey("browserSettings")
const browserSettings = controller.cacheService.getGlobalStateKey("browserSettings")
const browserSession = new BrowserSession(controller.context, browserSettings)
const result = await browserSession.getDetectedChromePath()
@@ -12,7 +12,7 @@ import { Controller } from "../index"
*/
export async function testBrowserConnection(controller: Controller, request: StringRequest): Promise<BrowserConnection> {
try {
const browserSettings = controller.stateManager.getGlobalStateKey("browserSettings")
const browserSettings = controller.cacheService.getGlobalStateKey("browserSettings")
const browserSession = new BrowserSession(controller.context, browserSettings)
const text = request.value || ""
@@ -0,0 +1,62 @@
import { UpdateBrowserSettingsRequest } from "@shared/proto/cline/browser"
import { Boolean } from "@shared/proto/cline/common"
import { DEFAULT_BROWSER_SETTINGS, BrowserSettings as SharedBrowserSettings } from "../../../shared/BrowserSettings"
import { Controller } from "../index"
/**
* Update browser settings
* @param controller The controller instance
* @param request The browser settings request message
* @returns Success response
*/
export async function updateBrowserSettings(controller: Controller, request: UpdateBrowserSettingsRequest): Promise<Boolean> {
try {
// Get current browser settings to preserve fields not in the request
const currentSettings = controller.cacheService.getGlobalStateKey("browserSettings")
const mergedWithDefaults = { ...DEFAULT_BROWSER_SETTINGS, ...currentSettings }
// Convert from protobuf format to shared format, merging with existing settings
const newBrowserSettings: SharedBrowserSettings = {
...mergedWithDefaults, // Start with existing settings (and defaults)
viewport: {
// Apply updates from request
width: request.viewport?.width || mergedWithDefaults.viewport.width,
height: request.viewport?.height || mergedWithDefaults.viewport.height,
},
// Explicitly handle optional boolean and string fields from the request
remoteBrowserEnabled:
request.remoteBrowserEnabled === undefined
? mergedWithDefaults.remoteBrowserEnabled
: request.remoteBrowserEnabled,
remoteBrowserHost:
request.remoteBrowserHost === undefined ? mergedWithDefaults.remoteBrowserHost : request.remoteBrowserHost,
chromeExecutablePath:
// If chromeExecutablePath is explicitly in the request (even as ""), use it.
// Otherwise, fall back to mergedWithDefaults.
"chromeExecutablePath" in request ? request.chromeExecutablePath : mergedWithDefaults.chromeExecutablePath,
disableToolUse: request.disableToolUse === undefined ? mergedWithDefaults.disableToolUse : request.disableToolUse,
customArgs: "customArgs" in request ? request.customArgs : mergedWithDefaults.customArgs,
}
// Update global state with new settings
controller.cacheService.setGlobalState("browserSettings", newBrowserSettings)
// Update task browser settings if task exists
if (controller.task) {
controller.task.browserSettings = newBrowserSettings
controller.task.browserSession.browserSettings = newBrowserSettings
}
// Post updated state to webview
await controller.postStateToWebview()
return Boolean.create({
value: true,
})
} catch (error) {
console.error("Error updating browser settings:", error)
return Boolean.create({
value: false,
})
}
}
@@ -3,7 +3,7 @@ import { Controller } from ".."
export async function checkpointDiff(controller: Controller, request: Int64Request): Promise<Empty> {
if (request.value) {
await controller.task?.checkpointManager?.presentMultifileDiff?.(request.value, false)
await controller.task?.presentMultifileDiff(request.value, false)
}
return Empty.create()
return Empty
}
@@ -23,11 +23,7 @@ export async function checkpointRestore(controller: Controller, request: Checkpo
})
// NOTE: cancelTask awaits abortTask, which awaits diffViewProvider.revertChanges, which reverts any edited files, allowing us to reset to a checkpoint rather than running into a state where the revertChanges function is called alongside or after the checkpoint reset
await controller.task?.checkpointManager?.restoreCheckpoint(
request.number,
request.restoreType as ClineCheckpointRestore,
request.offset,
)
await controller.task?.restoreCheckpoint(request.number, request.restoreType as ClineCheckpointRestore, request.offset)
}
return Empty.create({})
}
+1 -1
View File
@@ -1,7 +1,7 @@
import { getFileMentionFromPath } from "@/core/mentions"
import { WebviewProvider } from "@/core/webview"
import { singleFileDiagnosticsToProblemsString } from "@/integrations/diagnostics"
import { telemetryService } from "@/services/telemetry"
import { telemetryService } from "@/services/posthog/PostHogClientProvider"
import { CommandContext, Empty } from "@/shared/proto/index.cline"
import { Controller } from "../index"
import { sendAddToInputEventToClient } from "../ui/subscribeToAddToInput"
@@ -1,6 +1,6 @@
import { getFileMentionFromPath } from "@/core/mentions"
import { HostProvider } from "@/hosts/host-provider"
import { telemetryService } from "@/services/telemetry"
import { telemetryService } from "@/services/posthog/PostHogClientProvider"
import { CommandContext, Empty } from "@/shared/proto/index.cline"
import { ShowMessageType } from "@/shared/proto/index.host"
import { Controller } from "../index"
+1 -1
View File
@@ -1,6 +1,6 @@
import { getFileMentionFromPath } from "@/core/mentions"
import { singleFileDiagnosticsToProblemsString } from "@/integrations/diagnostics"
import { telemetryService } from "@/services/telemetry"
import { telemetryService } from "@/services/posthog/PostHogClientProvider"
import { CommandContext, Empty } from "@/shared/proto/index.cline"
import { Controller } from "../index"
@@ -1,6 +1,6 @@
import { getFileMentionFromPath } from "@/core/mentions"
import { HostProvider } from "@/hosts/host-provider"
import { telemetryService } from "@/services/telemetry"
import { telemetryService } from "@/services/posthog/PostHogClientProvider"
import { CommandContext, Empty } from "@/shared/proto/index.cline"
import { ShowMessageType } from "@/shared/proto/index.host"
import { Controller } from "../index"
+2 -2
View File
@@ -1,7 +1,7 @@
import { refreshClineRulesToggles } from "@core/context/instructions/user-instructions/cline-rules"
import { createRuleFile as createRuleFileImpl } from "@core/context/instructions/user-instructions/rule-helpers"
import { getWorkspaceBasename } from "@core/workspace"
import { RuleFile, RuleFileRequest } from "@shared/proto/cline/file"
import * as path from "path"
import { refreshWorkflowToggles } from "@/core/context/instructions/user-instructions/workflows"
import { HostProvider } from "@/hosts/host-provider"
import { ShowMessageType } from "@/shared/proto/host/window"
@@ -68,7 +68,7 @@ export async function createRuleFile(controller: Controller, request: RuleFileRe
return RuleFile.create({
filePath: filePath,
displayName: getWorkspaceBasename(filePath, "Controller.createRuleFile"),
displayName: path.basename(filePath),
alreadyExists: fileExists,
})
}
+2 -2
View File
@@ -1,6 +1,6 @@
import { deleteRuleFile as deleteRuleFileImpl } from "@core/context/instructions/user-instructions/rule-helpers"
import { getWorkspaceBasename } from "@core/workspace"
import { RuleFile, RuleFileRequest } from "@shared/proto/cline/file"
import * as path from "path"
import { HostProvider } from "@/hosts/host-provider"
import { ShowMessageType } from "@/shared/proto/host/window"
import { Controller } from ".."
@@ -40,7 +40,7 @@ export async function deleteRuleFile(controller: Controller, request: RuleFileRe
//await refreshWorkflowToggles(controller.context, cwd)
await controller.postStateToWebview()
const fileName = getWorkspaceBasename(request.rulePath, "Controller.deleteRuleFile")
const fileName = path.basename(request.rulePath)
const fileTypeName = request.type === "workflow" ? "workflow" : "rule"
@@ -1,7 +1,7 @@
import { workspaceResolver } from "@core/workspace"
import { BooleanResponse, StringRequest } from "@shared/proto/cline/common"
import { getWorkspacePath } from "@utils/path"
import * as fs from "fs"
import * as path from "path"
import { Controller } from ".."
/**
@@ -25,12 +25,7 @@ export async function ifFileExistsRelativePath(_controller: Controller, request:
}
// Resolve the relative path to absolute path
const resolvedPath = workspaceResolver.resolveWorkspacePath(
workspacePath,
request.value,
"Controller.ifFileExistsRelativePath",
)
const absolutePath = typeof resolvedPath === "string" ? resolvedPath : resolvedPath.absolutePath
const absolutePath = path.resolve(workspacePath, request.value)
// Check if the file exists
try {
return BooleanResponse.create({ value: fs.statSync(absolutePath).isFile() })
@@ -1,7 +1,7 @@
import { workspaceResolver } from "@core/workspace"
import { openFile as openFileIntegration } from "@integrations/misc/open-file"
import { Empty, StringRequest } from "@shared/proto/cline/common"
import { getWorkspacePath } from "@utils/path"
import * as path from "path"
import { Controller } from ".."
/**
@@ -20,12 +20,7 @@ export async function openFileRelativePath(_controller: Controller, request: Str
if (request.value) {
// Resolve the relative path to absolute path
const resolvedPath = workspaceResolver.resolveWorkspacePath(
workspacePath,
request.value,
"Controller.openFileRelativePath",
)
const absolutePath = typeof resolvedPath === "string" ? resolvedPath : resolvedPath.absolutePath
const absolutePath = path.resolve(workspacePath, request.value)
// Open the file using the existing integration
openFileIntegration(absolutePath)
@@ -1,5 +1,5 @@
import { openFile as openFileIntegration } from "@integrations/misc/open-file"
import { telemetryService } from "../../../services/telemetry"
import { telemetryService } from "../../../services/posthog/PostHogClientProvider"
import { Empty, StringRequest } from "../../../shared/proto/cline/common"
import { ensureFocusChainFile, extractFocusChainListFromText } from "../../task/focus-chain/file-utils"
import { Controller } from ".."
+4 -1
View File
@@ -1,5 +1,6 @@
import { StringRequest } from "@shared/proto/cline/common"
import { GitCommits } from "@shared/proto/cline/file"
import { convertGitCommitsToProtoGitCommits } from "@shared/proto-conversions/file/git-commit-conversion"
import { searchCommits as searchCommitsUtil } from "@utils/git"
import { getWorkspacePath } from "@utils/path"
import { Controller } from ".."
@@ -19,7 +20,9 @@ export async function searchCommits(_controller: Controller, request: StringRequ
try {
const commits = await searchCommitsUtil(request.value || "", cwd)
return GitCommits.create({ commits })
const protoCommits = convertGitCommitsToProtoGitCommits(commits)
return GitCommits.create({ commits: protoCommits })
} catch (error) {
console.error(`Error searching commits: ${JSON.stringify(error)}`)
return GitCommits.create({ commits: [] })
+36 -24
View File
@@ -1,7 +1,8 @@
import { searchWorkspaceFiles } from "@services/search/file-search"
import { FileSearchRequest, FileSearchResults, FileSearchType } from "@shared/proto/cline/file"
import { SearchWorkspaceItemsRequest_SearchItemType } from "@shared/proto/host/workspace"
import { convertSearchResultsToProtoFileInfos } from "@shared/proto-conversions/file/search-result-conversion"
import { getWorkspacePath } from "@utils/path"
import { HostProvider } from "@/hosts/host-provider"
import { Controller } from ".."
/**
@@ -16,36 +17,47 @@ export async function searchFiles(_controller: Controller, request: FileSearchRe
if (!workspacePath) {
// Handle case where workspace path is not available
console.error("Error in searchFiles: No workspace path available")
return { results: [], mentionsRequestId: request.mentionsRequestId }
return FileSearchResults.create({
results: [],
mentionsRequestId: request.mentionsRequestId,
})
}
try {
// Map enum to string for the search service
let selectedTypeString: "file" | "folder" | undefined
if (request.selectedType === FileSearchType.FILE) {
selectedTypeString = "file"
} else if (request.selectedType === FileSearchType.FOLDER) {
selectedTypeString = "folder"
}
// Map enum to host SearchItemType (0 = FILE, 1 = FOLDER)
const selectedTypeValue: SearchWorkspaceItemsRequest_SearchItemType | undefined =
request.selectedType === FileSearchType.FILE
? SearchWorkspaceItemsRequest_SearchItemType.FILE
: request.selectedType === FileSearchType.FOLDER
? SearchWorkspaceItemsRequest_SearchItemType.FOLDER
: undefined
// Call file search service with query from request
const searchResults = await searchWorkspaceFiles(
request.query || "",
workspacePath,
request.limit || 20, // Use default limit of 20 if not specified
selectedTypeString,
// Use host-provided search via hostbridge (no fallback)
const hostResponse = await HostProvider.workspace.searchWorkspaceItems({
query: request.query || "",
limit: request.limit || 20,
selectedType: selectedTypeValue,
})
const mapped: { path: string; type: "file" | "folder"; label?: string }[] = (hostResponse.items || []).map(
(item: { path?: string; type: SearchWorkspaceItemsRequest_SearchItemType; label?: string }) => ({
path: String(item.path || ""),
type: item.type === SearchWorkspaceItemsRequest_SearchItemType.FOLDER ? "folder" : "file",
label: item.label || undefined,
}),
)
// Convert search results to proto FileInfo objects using the conversion function
const protoResults = convertSearchResultsToProtoFileInfos(searchResults)
const protoResults = convertSearchResultsToProtoFileInfos(mapped)
// Return successful results
return { results: protoResults, mentionsRequestId: request.mentionsRequestId }
return FileSearchResults.create({
results: protoResults,
mentionsRequestId: request.mentionsRequestId,
})
} catch (error) {
// Log the error but don't include it in the response, following the pattern in searchCommits
console.error("Error in searchFiles:", error)
// Return empty results without error message
return { results: [], mentionsRequestId: request.mentionsRequestId }
console.error("Error in host searchWorkspaceItems:", error instanceof Error ? error.message : String(error))
return FileSearchResults.create({
results: [],
mentionsRequestId: request.mentionsRequestId,
})
}
}
+9 -9
View File
@@ -1,7 +1,7 @@
import { getWorkspaceBasename } from "@core/workspace"
import path from "node:path"
import { telemetryService } from "@services/posthog/PostHogClientProvider"
import type { ToggleClineRuleRequest } from "@shared/proto/cline/file"
import { ToggleClineRules } from "@shared/proto/cline/file"
import { telemetryService } from "@/services/telemetry"
import type { Controller } from "../index"
/**
@@ -24,25 +24,25 @@ export async function toggleClineRule(controller: Controller, request: ToggleCli
// This is the same core logic as in the original handler
if (isGlobal) {
const toggles = controller.stateManager.getGlobalStateKey("globalClineRulesToggles")
const toggles = controller.cacheService.getGlobalStateKey("globalClineRulesToggles")
toggles[rulePath] = enabled
controller.stateManager.setGlobalState("globalClineRulesToggles", toggles)
controller.cacheService.setGlobalState("globalClineRulesToggles", toggles)
} else {
const toggles = controller.stateManager.getWorkspaceStateKey("localClineRulesToggles")
const toggles = controller.cacheService.getWorkspaceStateKey("localClineRulesToggles")
toggles[rulePath] = enabled
controller.stateManager.setWorkspaceState("localClineRulesToggles", toggles)
controller.cacheService.setWorkspaceState("localClineRulesToggles", toggles)
}
// Track rule toggle telemetry with current task context
if (controller.task?.ulid) {
// Extract just the filename for privacy (no full paths)
const ruleFileName = getWorkspaceBasename(rulePath, "Controller.toggleClineRule")
const ruleFileName = path.basename(rulePath)
telemetryService.captureClineRuleToggled(controller.task.ulid, ruleFileName, enabled, isGlobal)
}
// Get the current state to return in the response
const globalToggles = controller.stateManager.getGlobalStateKey("globalClineRulesToggles")
const localToggles = controller.stateManager.getWorkspaceStateKey("localClineRulesToggles")
const globalToggles = controller.cacheService.getGlobalStateKey("globalClineRulesToggles")
const localToggles = controller.cacheService.getWorkspaceStateKey("localClineRulesToggles")
return ToggleClineRules.create({
globalClineRulesToggles: { toggles: globalToggles },
+3 -3
View File
@@ -20,12 +20,12 @@ export async function toggleCursorRule(controller: Controller, request: ToggleCu
}
// Update the toggles in workspace state
const toggles = controller.stateManager.getWorkspaceStateKey("localCursorRulesToggles")
const toggles = controller.cacheService.getWorkspaceStateKey("localCursorRulesToggles")
toggles[rulePath] = enabled
controller.stateManager.setWorkspaceState("localCursorRulesToggles", toggles)
controller.cacheService.setWorkspaceState("localCursorRulesToggles", toggles)
// Get the current state to return in the response
const cursorToggles = controller.stateManager.getWorkspaceStateKey("localCursorRulesToggles")
const cursorToggles = controller.cacheService.getWorkspaceStateKey("localCursorRulesToggles")
return ClineRulesToggles.create({
toggles: cursorToggles,
@@ -20,9 +20,9 @@ export async function toggleWindsurfRule(controller: Controller, request: Toggle
}
// Update the toggles
const toggles = controller.stateManager.getWorkspaceStateKey("localWindsurfRulesToggles")
const toggles = controller.cacheService.getWorkspaceStateKey("localWindsurfRulesToggles")
toggles[rulePath] = enabled
controller.stateManager.setWorkspaceState("localWindsurfRulesToggles", toggles)
controller.cacheService.setWorkspaceState("localWindsurfRulesToggles", toggles)
// Return the toggles directly
return ClineRulesToggles.create({ toggles: toggles })
+4 -4
View File
@@ -21,18 +21,18 @@ export async function toggleWorkflow(controller: Controller, request: ToggleWork
// Update the toggles based on isGlobal flag
if (isGlobal) {
// Global workflows
const toggles = controller.stateManager.getGlobalStateKey("globalWorkflowToggles")
const toggles = controller.cacheService.getGlobalStateKey("globalWorkflowToggles")
toggles[workflowPath] = enabled
controller.stateManager.setGlobalState("globalWorkflowToggles", toggles)
controller.cacheService.setGlobalState("globalWorkflowToggles", toggles)
await controller.postStateToWebview()
// Return the global toggles
return ClineRulesToggles.create({ toggles: toggles })
} else {
// Workspace workflows
const toggles = controller.stateManager.getWorkspaceStateKey("workflowToggles")
const toggles = controller.cacheService.getWorkspaceStateKey("workflowToggles")
toggles[workflowPath] = enabled
controller.stateManager.setWorkspaceState("workflowToggles", toggles)
controller.cacheService.setWorkspaceState("workflowToggles", toggles)
await controller.postStateToWebview()
// Return the workspace toggles
+4 -40
View File
@@ -1,9 +1,8 @@
import { Controller } from "@core/controller/index"
import { serviceHandlers } from "@generated/hosts/vscode/protobus-services"
import { GrpcRecorderBuilder } from "@/core/controller/grpc-recorder/grpc-recorder.builder"
import { GrpcRequestRegistry } from "@/core/controller/grpc-request-registry"
import { ExtensionMessage } from "@/shared/ExtensionMessage"
import { GrpcCancel, GrpcRequest } from "@/shared/WebviewMessage"
import { GrpcRequestRegistry } from "./grpc-request-registry"
import { Controller } from "./index"
/**
* Type definition for a streaming response handler
@@ -16,36 +15,6 @@ export type StreamingResponseHandler<TResponse> = (
export type PostMessageToWebview = (message: ExtensionMessage) => Thenable<boolean | undefined>
/**
* Creates a middleware wrapper for recording gRPC requests and responses
*/
function withRecordingMiddleware(postMessage: PostMessageToWebview, controller: Controller): PostMessageToWebview {
return async (response: ExtensionMessage) => {
if (response?.grpc_response) {
try {
GrpcRecorderBuilder.getRecorder(controller).recordResponse(
response.grpc_response.request_id,
response.grpc_response,
)
} catch (e) {
console.warn("Failed to record gRPC response:", e)
}
}
return postMessage(response)
}
}
/**
* Records gRPC request with error handling
*/
function recordRequest(request: GrpcRequest, controller: Controller): void {
try {
GrpcRecorderBuilder.getRecorder(controller).recordRequest(request)
} catch (e) {
console.warn("Failed to record gRPC request:", e)
}
}
/**
* Handles a gRPC request from the webview.
*/
@@ -54,15 +23,10 @@ export async function handleGrpcRequest(
postMessageToWebview: PostMessageToWebview,
request: GrpcRequest,
): Promise<void> {
recordRequest(request, controller)
// Create recording middleware wrapper
const postMessageWithRecording = withRecordingMiddleware(postMessageToWebview, controller)
if (request.is_streaming) {
await handleStreamingRequest(controller, postMessageWithRecording, request)
await handleStreamingRequest(controller, postMessageToWebview, request)
} else {
await handleUnaryRequest(controller, postMessageWithRecording, request)
await handleUnaryRequest(controller, postMessageToWebview, request)
}
}
@@ -1,50 +0,0 @@
import { describe, it } from "mocha"
import "should"
import { GrpcRecorderNoops } from "@/core/controller/grpc-recorder/grpc-recorder"
import { GrpcRecorderBuilder } from "@/core/controller/grpc-recorder/grpc-recorder.builder"
import { LogFileHandler } from "@/core/controller/grpc-recorder/log-file-handler"
describe("GrpcRecorderBuilder", () => {
describe("when not enabling", () => {
it("should return GrpcRecorderNoops when enableIf is false", () => {
const builder = new GrpcRecorderBuilder()
const recorder = builder.enableIf(false).build()
recorder.should.be.instanceOf(GrpcRecorderNoops)
})
it("should return GrpcRecorderNoops when enableIf is false even with log file handler", () => {
const builder = new GrpcRecorderBuilder()
const logFileHandler = new LogFileHandler()
const recorder = builder.withLogFileHandler(logFileHandler).enableIf(false).build()
recorder.should.be.instanceOf(GrpcRecorderNoops)
})
})
describe("GrpcRecorderNoops functionality", () => {
it("should have no-op methods that don't throw errors", () => {
const recorder = new GrpcRecorderNoops()
recorder.recordRequest({
request_id: "test-id",
service: "TestService",
method: "testMethod",
message: {},
is_streaming: false,
})
recorder.recordResponse("test-id", {
request_id: "test-id",
message: {},
})
recorder.recordError("test-id", "test error")
const sessionLog = recorder.getSessionLog()
sessionLog.should.have.property("startTime").which.is.a.String()
sessionLog.should.have.property("entries").which.is.an.Array()
sessionLog.entries.should.have.length(0)
})
})
})
@@ -1,106 +0,0 @@
import { GrpcPostRecordHook, GrpcRequestFilter } from "@core/controller/grpc-recorder/types"
import { Controller } from "@/core/controller"
import { GrpcRecorder, GrpcRecorderNoops, IRecorder } from "@/core/controller/grpc-recorder/grpc-recorder"
import { LogFileHandler, LogFileHandlerNoops } from "@/core/controller/grpc-recorder/log-file-handler"
import { testHooks } from "@/core/controller/grpc-recorder/test-hooks"
/**
* A builder class for constructing a gRPC recorder instance.
*
* This class follows the Builder pattern, allowing consumers
* to configure logging behavior and control whether recording
* is enabled or disabled before creating a final `IRecorder`.
*/
export class GrpcRecorderBuilder {
private fileHandler: LogFileHandler | null = null
private enabled: boolean = true
private filters: GrpcRequestFilter[] = []
private hooks: GrpcPostRecordHook[] = []
public withLogFileHandler(handler: LogFileHandler): this {
this.fileHandler = handler
return this
}
public enableIf(condition: boolean): this {
this.enabled = condition
return this
}
public withFilters(...filters: GrpcRequestFilter[]): this {
this.filters.push(...filters)
return this
}
public withPostRecordHooks(...hooks: GrpcPostRecordHook[]): this {
this.hooks.push(...hooks)
return this
}
// Initialize the recorder as a singleton
private static recorder: IRecorder
/**
* Gets or creates the GrpcRecorder instance
*/
static getRecorder(controller: Controller): IRecorder {
if (!GrpcRecorderBuilder.recorder) {
GrpcRecorderBuilder.recorder = GrpcRecorder.builder()
.enableIf(process.env.GRPC_RECORDER_ENABLED === "true" && process.env.CLINE_ENVIRONMENT === "local")
.withLogFileHandler(new LogFileHandler())
.build(controller)
}
return GrpcRecorderBuilder.recorder
}
public build(controller?: Controller): IRecorder {
if (!this.enabled) {
return new GrpcRecorderNoops()
}
let filters: GrpcRequestFilter[] = filtersFromEnv()
if (this.filters.length > 0) {
filters = filters.concat(this.filters)
}
let hooks: GrpcPostRecordHook[] = hooksFromEnv(controller)
if (this.hooks.length > 0) {
hooks = hooks.concat(this.hooks)
}
const handler = this.fileHandler ?? new LogFileHandlerNoops()
return new GrpcRecorder(handler, filters, hooks)
}
}
function filtersFromEnv(): GrpcRequestFilter[] {
const filters: GrpcRequestFilter[] = []
if (process.env.GRPC_RECORDER_TESTS_FILTERS_ENABLED === "true") {
filters.push(...testFilters())
}
return filters
}
function testFilters(): GrpcRequestFilter[] {
/*
* Ignores streaming messages and unwanted services messages
* that record more than expected.
*/
return [
(req) => req.is_streaming,
(req) => ["cline.UiService", "cline.McpService", "cline.WebService"].includes(req.service),
(req) => ["refreshOpenRouterModels", "getAvailableTerminalProfiles"].includes(req.method),
]
}
function hooksFromEnv(controller?: Controller): GrpcPostRecordHook[] {
const hooks: GrpcPostRecordHook[] = []
if (controller && process.env.GRPC_RECORDER_TESTS_FILTERS_ENABLED === "true") {
hooks.push(...testHooks(controller))
}
return hooks
}
@@ -1,214 +0,0 @@
import { GrpcRecorder, IRecorder } from "@core/controller/grpc-recorder/grpc-recorder"
import { expect } from "chai"
import { ExtensionMessage } from "@/shared/ExtensionMessage"
import { GrpcRequest } from "@/shared/WebviewMessage"
describe("grpc-recorder", () => {
let recorder: IRecorder
before(async () => {
recorder = GrpcRecorder.builder()
.withFilters((req: GrpcRequest) => req.service === "the-unwanted-service")
.enableIf(true)
.build()
})
describe("GrpcRecorder", () => {
it("matches multiple request, response and stats", async () => {
interface UseCase {
request: GrpcRequest
response: ExtensionMessage["grpc_response"]
expectedStatus: string
}
const requestResponseUseCases: UseCase[] = [
{
request: {
service: "the-service",
method: "the-method",
message: "the-message",
request_id: "request-id-1",
is_streaming: false,
},
response: {
request_id: "request-id-1",
message: "the-message-response",
error: "",
},
expectedStatus: "completed",
},
{
request: {
service: "streaming-service",
method: "stream-method",
message: { data: "streaming-data", count: 42 },
request_id: "request-id-2",
is_streaming: true,
},
response: {
request_id: "request-id-2",
message: { streamData: "chunk-1" },
error: "",
is_streaming: true,
sequence_number: 1,
},
expectedStatus: "completed",
},
{
request: {
service: "another-service",
method: "another-method",
message: { complex: { nested: "object", array: [1, 2, 3] } },
request_id: "request-id-3",
is_streaming: false,
},
response: {
request_id: "request-id-3",
message: "",
error: "Something went wrong",
},
expectedStatus: "error",
},
]
const initialExpectedStatus = "pending"
requestResponseUseCases.forEach((us: UseCase, index: number) => {
recorder.recordRequest(us.request)
let sessionLog = recorder.getSessionLog()
expect(sessionLog.entries).length(index + 1, `unexpected request_id: ${us.request.request_id}`)
expect(sessionLog.entries[index]).to.include({
service: us.request.service,
method: us.request.method,
isStreaming: us.request.is_streaming,
requestId: us.request.request_id,
status: initialExpectedStatus,
})
if (us.response) {
recorder.recordResponse(us.request.request_id, us.response)
}
sessionLog = recorder.getSessionLog()
expect(sessionLog.entries[index].status).equal(us.expectedStatus)
expect(sessionLog.entries[index].response).to.deep.include({
error: us.response?.error,
})
})
const sessionLog = recorder.getSessionLog()
expect(sessionLog.stats).to.include({
totalRequests: 3,
pendingRequests: 0,
completedRequests: 2,
errorRequests: 1,
})
recorder.recordRequest({
service: "the-unwanted-service",
method: "the-method",
message: "the-message",
request_id: "request-id-1",
is_streaming: false,
})
expect(sessionLog.entries).length(3)
})
it("using default filtering should filter out unwanted requests", async () => {
const customRecorder = GrpcRecorder.builder()
.withFilters(
(req) => req.is_streaming,
(req) => ["cline.UiService", "cline.McpService", "cline.WebService"].includes(req.service),
)
.enableIf(true)
.build()
const unwantedServices = ["cline.UiService", "cline.McpService", "cline.WebService"]
unwantedServices.forEach((us) => {
customRecorder.recordRequest({
service: us,
method: "the-method",
message: "the-message",
request_id: "request-id-1",
is_streaming: false,
})
})
let sessionLog = customRecorder.getSessionLog()
expect(sessionLog.entries).length(0)
customRecorder.recordRequest({
service: "streaming-request",
method: "the-method",
message: "the-message",
request_id: "request-id-1",
is_streaming: true,
})
sessionLog = customRecorder.getSessionLog()
expect(sessionLog.entries).length(0)
})
it("cleanupSyntheticEntries removes synthetic entries from session log", async () => {
const testRecorder = GrpcRecorder.builder().enableIf(true).build()
// Add regular request
testRecorder.recordRequest({
service: "regular-service",
method: "regular-method",
message: "regular-message",
request_id: "regular-id",
is_streaming: false,
})
// Add synthetic request
testRecorder.recordRequest(
{
service: "synthetic-service",
method: "synthetic-method",
message: "synthetic-message",
request_id: "synthetic-id",
is_streaming: false,
},
true, // synthetic = true
)
let sessionLog = testRecorder.getSessionLog()
expect(sessionLog.entries).length(2)
testRecorder.cleanupSyntheticEntries()
sessionLog = testRecorder.getSessionLog()
expect(sessionLog.entries).length(1)
expect(sessionLog.entries[0].requestId).equal("regular-id")
})
it("recordResponse executes post-record hooks", async () => {
let hookExecuted = false
let hookEntry: any = null
const mockHook = async (entry: any) => {
hookExecuted = true
hookEntry = entry
}
const testRecorder = GrpcRecorder.builder().withPostRecordHooks(mockHook).enableIf(true).build()
testRecorder.recordRequest({
service: "test-service",
method: "test-method",
message: "test-message",
request_id: "test-id",
is_streaming: false,
})
testRecorder.recordResponse("test-id", {
request_id: "test-id",
message: "response-message",
error: "",
})
expect(hookExecuted).to.be.true
expect(hookEntry).to.not.be.null
expect(hookEntry.requestId).equal("test-id")
})
})
})
@@ -1,225 +0,0 @@
import { GrpcResponse } from "@shared/ExtensionMessage"
import { GrpcRequest } from "@shared/WebviewMessage"
import { GrpcRecorderBuilder } from "@/core/controller/grpc-recorder/grpc-recorder.builder"
import { ILogFileHandler } from "@/core/controller/grpc-recorder/log-file-handler"
import {
GrpcLogEntry,
GrpcPostRecordHook,
GrpcRequestFilter,
GrpcSessionLog,
SessionStats,
} from "@/core/controller/grpc-recorder/types"
export class GrpcRecorderNoops implements IRecorder {
recordRequest(_request: GrpcRequest): void {}
recordResponse(_requestId: string, _response: GrpcResponse): void {}
recordError(_requestId: string, _error: string): void {}
getSessionLog(): GrpcSessionLog {
return {
startTime: "",
entries: [],
}
}
cleanupSyntheticEntries(): void {}
}
export interface IRecorder {
recordRequest(request: GrpcRequest, synthetic?: boolean): void
recordResponse(requestId: string, response: GrpcResponse): void
recordError(requestId: string, error: string): void
getSessionLog(): GrpcSessionLog
cleanupSyntheticEntries(): void
}
/**
* Default implementation of a gRPC recorder.
*
* Responsibilities:
* - Records requests, responses, and errors.
* - Tracks request/response lifecycle, including duration and status.
* - Maintains a session log of all recorded entries.
* - Persists logs asynchronously through a file handler.
*/
export class GrpcRecorder implements IRecorder {
private sessionLog: GrpcSessionLog
private pendingRequests: Map<string, { entry: GrpcLogEntry; startTime: number }> = new Map()
constructor(
private fileHandler: ILogFileHandler,
private requestFilters: GrpcRequestFilter[] = [],
private postRecordHooks: GrpcPostRecordHook[] = [],
) {
this.sessionLog = {
startTime: new Date().toISOString(),
entries: [],
}
this.fileHandler.initialize(this.sessionLog).catch((error) => {
console.error("Failed to initialize gRPC log file:", error)
})
}
public static builder(): GrpcRecorderBuilder {
return new GrpcRecorderBuilder()
}
/**
* Records a gRPC request.
*
* - Stores the request as a "pending" log entry.
* - Tracks the request start time for later duration calculation.
* - Persists the log asynchronously.
*
* @param request - The incoming gRPC request.
*/
public recordRequest(request: GrpcRequest, synthetic: boolean = false): void {
if (this.shouldFilter(request)) {
return
}
const entry: GrpcLogEntry = {
requestId: request.request_id,
service: request.service,
method: request.method,
isStreaming: request.is_streaming || false,
request: {
message: request.message,
},
status: "pending",
meta: { synthetic },
}
this.pendingRequests.set(request.request_id, {
entry,
startTime: Date.now(),
})
this.sessionLog.entries.push(entry)
this.flushLogAsync()
}
public getSessionLog(): GrpcSessionLog {
return this.sessionLog
}
/**
* Records a gRPC response for a given request.
*
* - Looks up the pending request entry.
* - Updates the entry with response data, status, and duration.
* - Removes the request from pending if it's not streaming.
* - Recomputes session stats.
* - Persists the log asynchronously.
*
* @param requestId - The ID of the request being responded to.
* @param response - The corresponding gRPC response.
*/
public recordResponse(requestId: string, response: GrpcResponse): void {
const pendingRequest = this.pendingRequests.get(requestId)
if (!pendingRequest) {
console.warn(`No pending request found for response with ID: ${requestId}`)
return
}
const { entry, startTime } = pendingRequest
entry.response = {
message: response?.message ? response.message : undefined,
error: response?.error,
isStreaming: response?.is_streaming,
sequenceNumber: response?.sequence_number,
}
entry.duration = Date.now() - startTime
entry.status = response?.error ? "error" : "completed"
if (!response?.is_streaming) {
this.pendingRequests.delete(requestId)
}
this.sessionLog.stats = this.getStats()
this.flushLogAsync()
this.runHooks(entry).catch((e) => console.error("Post-record hook failed:", e))
}
private async runHooks(entry: GrpcLogEntry): Promise<void> {
if (entry.meta?.synthetic) return
for (const hook of this.postRecordHooks) {
await hook(entry)
}
}
public cleanupSyntheticEntries(): void {
// Remove synthetic entries from session log
this.sessionLog.entries = this.sessionLog.entries.filter((entry) => !entry.meta?.synthetic)
// clean up from pending requests if needed
for (const [requestId, pendingRequest] of this.pendingRequests.entries()) {
if (pendingRequest.entry.meta?.synthetic) {
this.pendingRequests.delete(requestId)
}
}
this.sessionLog.stats = this.getStats()
this.flushLogAsync()
}
/**
* Records an error for a given request.
*
* - Marks the request as failed.
* - Records the error message and request duration.
* - Removes it from the pending requests.
* - Persists the log asynchronously.
*
* @param requestId - The ID of the request that errored.
* @param error - Error message.
*/
public recordError(requestId: string, error: string): void {
const pendingRequest = this.pendingRequests.get(requestId)
if (!pendingRequest) {
console.warn(`No pending request found for error with ID: ${requestId}`)
return
}
const { entry, startTime } = pendingRequest
entry.response = {
error: error,
}
entry.duration = Date.now() - startTime
entry.status = "error"
this.pendingRequests.delete(requestId)
this.flushLogAsync()
}
private flushLogAsync(): void {
setImmediate(() => {
this.fileHandler.write(this.sessionLog).catch((error) => {
console.error("Failed to flush gRPC log:", error)
})
})
}
public getStats(): SessionStats {
const totalRequests = this.sessionLog.entries.length
const pendingRequests = this.sessionLog.entries.filter((e) => e.status === "pending").length
const completedRequests = this.sessionLog.entries.filter((e) => e.status === "completed").length
const errorRequests = this.sessionLog.entries.filter((e) => e.status === "error").length
return {
totalRequests,
pendingRequests,
completedRequests,
errorRequests,
}
}
private shouldFilter(request: GrpcRequest): boolean {
return this.requestFilters.some((filter) => filter(request))
}
}
@@ -1,19 +0,0 @@
import { expect } from "chai"
import { before, describe, it } from "mocha"
import { LogFileHandler } from "@/core/controller/grpc-recorder/log-file-handler"
describe("log-file-handler", () => {
let logHandler: LogFileHandler
before(async () => {
logHandler = new LogFileHandler()
expect(logHandler.getFilePath()).not.empty
})
describe("LogFileHandler", () => {
it("returns file name with timestamp when env var not set", () => {
const result = logHandler.getFileName()
expect(result).to.contains("grpc_recorded_session")
})
})
})
@@ -1,57 +0,0 @@
import { writeFile } from "@utils/fs"
import fs from "fs/promises"
import * as path from "path"
import { GrpcSessionLog } from "@/core/controller/grpc-recorder/types"
const LOG_FILE_PREFIX = "grpc_recorded_session"
export class LogFileHandlerNoops implements ILogFileHandler {
async initialize(_initialData: GrpcSessionLog): Promise<void> {}
async write(_sessionLog: GrpcSessionLog): Promise<void> {}
}
export interface ILogFileHandler {
initialize(initialData: GrpcSessionLog): Promise<void>
write(sessionLog: GrpcSessionLog): Promise<void>
}
/**
* Default implementation of `ILogFileHandler` that persists logs to disk.
*
* - Creates a log file inside the workspace `tests/specs` folder.
* - Uses a timestamped filename by default, unless overridden by an env var.
* - Saves logs in JSON format.
*/
export class LogFileHandler implements ILogFileHandler {
private logFilePath: string
constructor() {
const fileName = this.getFileName()
const workspaceFolder = process.env.DEV_WORKSPACE_FOLDER ?? process.cwd()
const folderPath = path.join(workspaceFolder, "tests", "specs")
this.logFilePath = path.join(folderPath, fileName)
}
public getFilePath(): string {
return this.logFilePath
}
public getFileName(): string {
const envFileName = path.basename(process.env.GRPC_RECORDER_FILE_NAME || "").replace(/[^a-zA-Z0-9-_]/g, "_")
if (envFileName && envFileName.trim().length > 0) {
return `${LOG_FILE_PREFIX}_${envFileName}.json`
}
const timestamp = new Date().toISOString().replace(/[:.]/g, "-")
return `${LOG_FILE_PREFIX}_${timestamp}.json`
}
public async initialize(initialData: GrpcSessionLog): Promise<void> {
await fs.mkdir(path.dirname(this.logFilePath), { recursive: true })
await writeFile(this.logFilePath, JSON.stringify(initialData, null, 2), "utf8")
}
public async write(sessionLog: GrpcSessionLog): Promise<void> {
await writeFile(this.logFilePath, JSON.stringify(sessionLog, null, 2), "utf8")
}
}
@@ -1,69 +0,0 @@
import { afterEach, beforeEach, describe, it } from "mocha"
import "should"
import * as sinon from "sinon"
import { Controller } from ".."
import { IRecorder } from "./grpc-recorder"
import { GrpcRecorderBuilder } from "./grpc-recorder.builder"
import { testHooks } from "./test-hooks"
import { GrpcLogEntry } from "./types"
describe("test-hooks", () => {
let cleanupSyntheticEntriesStub: sinon.SinonStub
let recordRequestStub: sinon.SinonStub
let recordResponseStub: sinon.SinonStub
let getRecorderStub: sinon.SinonStub
beforeEach(() => {
cleanupSyntheticEntriesStub = sinon.stub()
recordRequestStub = sinon.stub()
recordResponseStub = sinon.stub()
const mockRecorder: IRecorder = {
cleanupSyntheticEntries: cleanupSyntheticEntriesStub,
recordRequest: recordRequestStub,
recordResponse: recordResponseStub,
recordError: sinon.stub(),
getSessionLog: sinon.stub().returns({ startTime: "", entries: [] }),
}
getRecorderStub = sinon.stub(GrpcRecorderBuilder, "getRecorder").returns(mockRecorder)
})
afterEach(() => {
sinon.restore()
})
it("should return an array of post-record hooks", () => {
const mockController = {} as Controller
const hooks = testHooks(mockController)
hooks.should.be.an.Array()
hooks.should.have.length(1)
hooks[0].should.be.a.Function()
})
it("should execute hook and call recorder methods", async () => {
const mockController = {
getStateToPostToWebview: sinon.stub().returns({}),
} as any as Controller
const hooks = testHooks(mockController)
const mockEntry: GrpcLogEntry = {
requestId: "test-request-id",
service: "TestService",
method: "testMethod",
isStreaming: false,
request: { message: {} },
status: "pending",
}
await hooks[0](mockEntry)
// Validate sinon stub calls
sinon.assert.calledWith(getRecorderStub, mockController)
sinon.assert.calledOnce(cleanupSyntheticEntriesStub)
sinon.assert.calledOnce(recordRequestStub)
sinon.assert.calledOnce(recordResponseStub)
})
})
@@ -1,38 +0,0 @@
import { Controller } from "@/core/controller"
import { GrpcRecorderBuilder } from "@/core/controller/grpc-recorder/grpc-recorder.builder"
import { GrpcPostRecordHook } from "@/core/controller/grpc-recorder/types"
import { getLatestState } from "@/core/controller/state/getLatestState"
// Add 50ms delay by default to ensure we get the latest state
const TEST_HOOK_LATEST_STATE_DELAY = 50
export function testHooks(controller: Controller): GrpcPostRecordHook[] {
return [
async (entry) => {
GrpcRecorderBuilder.getRecorder(controller).cleanupSyntheticEntries()
await new Promise((resolve) => setTimeout(resolve, TEST_HOOK_LATEST_STATE_DELAY))
const requestId = entry.requestId
// Record synthetic "getLatestState" request
GrpcRecorderBuilder.getRecorder(controller).recordRequest(
{
service: "cline.StateService",
method: "getLatestState",
message: {},
request_id: requestId,
is_streaming: false,
},
true,
)
const state = await getLatestState(controller, {})
GrpcRecorderBuilder.getRecorder(controller).recordResponse(requestId, {
request_id: requestId,
message: state,
})
},
]
}
@@ -1,37 +0,0 @@
import { GrpcRequest } from "@/shared/WebviewMessage"
export type GrpcPostRecordHook = (entry: GrpcLogEntry, controller?: any) => Promise<void> | void
export type GrpcRequestFilter = (request: GrpcRequest) => boolean
export interface GrpcLogEntry {
requestId: string
service: string
method: string
isStreaming: boolean
request: {
message: any
}
response?: {
message?: any
error?: string
isStreaming?: boolean
sequenceNumber?: number
}
duration?: number
status: "pending" | "completed" | "error"
meta?: { synthetic?: boolean }
}
export interface SessionStats {
totalRequests: number
pendingRequests: number
completedRequests: number
errorRequests: number
}
export interface GrpcSessionLog {
startTime: string
stats?: SessionStats
entries: GrpcLogEntry[]
}
+103 -137
View File
@@ -1,8 +1,5 @@
import { Anthropic } from "@anthropic-ai/sdk"
import { buildApiHandler } from "@core/api"
import { detectWorkspaceRoots } from "@core/workspace/detection"
import { setupWorkspaceManager } from "@core/workspace/setup"
import { WorkspaceRootManager } from "@core/workspace/WorkspaceRootManager"
import { cleanupLegacyCheckpoints } from "@integrations/checkpoints/CheckpointMigration"
import { downloadTask } from "@integrations/misc/export-markdown"
import { ClineAccountService } from "@services/account/ClineAccountService"
@@ -24,14 +21,12 @@ import * as vscode from "vscode"
import { clineEnvConfig } from "@/config"
import { HostProvider } from "@/hosts/host-provider"
import { AuthService } from "@/services/auth/AuthService"
import { getDistinctId } from "@/services/logging/distinctId"
import { telemetryService } from "@/services/telemetry"
import { PostHogClientProvider, telemetryService } from "@/services/posthog/PostHogClientProvider"
import { ShowMessageType } from "@/shared/proto/host/window"
import { getLatestAnnouncementId } from "@/utils/announcements"
import { getCwd, getDesktopDir } from "@/utils/path"
import { PromptRegistry } from "../prompts/system-prompt"
import { CacheService, PersistenceErrorEvent } from "../storage/CacheService"
import { ensureMcpServersDirectoryExists, ensureSettingsDirectoryExists, GlobalFileNames } from "../storage/disk"
import { PersistenceErrorEvent, StateManager } from "../storage/StateManager"
import { Task } from "../task"
import { sendMcpMarketplaceCatalogEvent } from "./mcp/subscribeToMcpMarketplaceCatalog"
import { sendStateUpdate } from "./state/subscribeToState"
@@ -44,56 +39,47 @@ https://github.com/KumarVariable/vscode-extension-sidebar-html/blob/master/src/c
export class Controller {
readonly id: string
private disposables: vscode.Disposable[] = []
task?: Task
mcpHub: McpHub
accountService: ClineAccountService
authService: AuthService
readonly stateManager: StateManager
// NEW: Add workspace manager (optional initially)
private workspaceManager?: WorkspaceRootManager
readonly cacheService: CacheService
constructor(
readonly context: vscode.ExtensionContext,
id: string,
) {
this.id = id
PromptRegistry.getInstance() // Ensure prompts and tools are registered
HostProvider.get().logToChannel("ClineProvider instantiated")
this.accountService = ClineAccountService.getInstance()
this.stateManager = new StateManager(context)
this.cacheService = new CacheService(context)
this.authService = AuthService.getInstance(this)
// Initialize cache service asynchronously - critical for extension functionality
this.stateManager
this.cacheService
.initialize()
.then(() => {
this.authService.restoreRefreshTokenAndRetrieveAuthInfo()
})
.catch((error) => {
console.error(
"[Controller] CRITICAL: Failed to initialize StateManager - extension may not function properly:",
error,
)
HostProvider.window.showMessage({
type: ShowMessageType.ERROR,
message: "Failed to initialize Cline's application state. Please restart the extension.",
})
console.error("CRITICAL: Failed to initialize CacheService - extension may not function properly:", error)
})
// Set up persistence error recovery
this.stateManager.onPersistenceError = async ({ error }: PersistenceErrorEvent) => {
console.error("[Controller] Cache persistence failed, recovering:", error)
this.cacheService.onPersistenceError = async ({ error }: PersistenceErrorEvent) => {
console.error("Cache persistence failed, recovering:", error)
try {
await this.stateManager.reInitialize()
await this.cacheService.reInitialize()
await this.postStateToWebview()
HostProvider.window.showMessage({
type: ShowMessageType.WARNING,
message: "Saving settings to storage failed.",
})
} catch (recoveryError) {
console.error("[Controller] Cache recovery failed:", recoveryError)
console.error("Cache recovery failed:", recoveryError)
HostProvider.window.showMessage({
type: ShowMessageType.ERROR,
message: "Failed to save settings. Please restart the extension.",
@@ -101,10 +87,6 @@ export class Controller {
}
}
this.stateManager.onSyncExternalChange = async () => {
await this.postStateToWebview()
}
this.mcpHub = new McpHub(
() => ensureMcpServersDirectoryExists(),
() => ensureSettingsDirectoryExists(this.context),
@@ -119,7 +101,7 @@ export class Controller {
}
async getCurrentMode(): Promise<Mode> {
return this.stateManager.getGlobalStateKey("mode")
return this.cacheService.getGlobalStateKey("mode")
}
/*
@@ -129,6 +111,12 @@ export class Controller {
*/
async dispose() {
await this.clearTask()
while (this.disposables.length) {
const x = this.disposables.pop()
if (x) {
x.dispose()
}
}
this.mcpHub.dispose()
console.error("Controller disposed")
@@ -138,17 +126,17 @@ export class Controller {
async handleSignOut() {
try {
// TODO: update to clineAccountId and then move clineApiKey to a clear function.
this.stateManager.setSecret("clineAccountId", undefined)
this.stateManager.setGlobalState("userInfo", undefined)
this.cacheService.setSecret("clineAccountId", undefined)
this.cacheService.setGlobalState("userInfo", undefined)
// Update API providers through cache service
const apiConfiguration = this.stateManager.getApiConfiguration()
const apiConfiguration = this.cacheService.getApiConfiguration()
const updatedConfig = {
...apiConfiguration,
planModeApiProvider: "openrouter" as ApiProvider,
actModeApiProvider: "openrouter" as ApiProvider,
}
this.stateManager.setApiConfiguration(updatedConfig)
this.cacheService.setApiConfiguration(updatedConfig)
await this.postStateToWebview()
HostProvider.window.showMessage({
@@ -164,34 +152,35 @@ export class Controller {
}
async setUserInfo(info?: UserInfo) {
this.stateManager.setGlobalState("userInfo", info)
this.cacheService.setGlobalState("userInfo", info)
}
async initTask(task?: string, images?: string[], files?: string[], historyItem?: HistoryItem) {
await this.clearTask() // ensures that an existing task doesn't exist before starting a new one, although this shouldn't be possible since user must clear task before starting a new one
const apiConfiguration = this.stateManager.getApiConfiguration()
const autoApprovalSettings = this.stateManager.getGlobalStateKey("autoApprovalSettings")
const browserSettings = this.stateManager.getGlobalStateKey("browserSettings")
const focusChainSettings = this.stateManager.getGlobalStateKey("focusChainSettings")
const preferredLanguage = this.stateManager.getGlobalStateKey("preferredLanguage")
const openaiReasoningEffort = this.stateManager.getGlobalStateKey("openaiReasoningEffort")
const mode = this.stateManager.getGlobalStateKey("mode")
const shellIntegrationTimeout = this.stateManager.getGlobalStateKey("shellIntegrationTimeout")
const terminalReuseEnabled = this.stateManager.getGlobalStateKey("terminalReuseEnabled")
const terminalOutputLineLimit = this.stateManager.getGlobalStateKey("terminalOutputLineLimit")
const defaultTerminalProfile = this.stateManager.getGlobalStateKey("defaultTerminalProfile")
const enableCheckpointsSetting = this.stateManager.getGlobalStateKey("enableCheckpointsSetting")
const isNewUser = this.stateManager.getGlobalStateKey("isNewUser")
const taskHistory = this.stateManager.getGlobalStateKey("taskHistory")
const strictPlanModeEnabled = this.stateManager.getGlobalStateKey("strictPlanModeEnabled")
const useAutoCondense = this.stateManager.getGlobalStateKey("useAutoCondense")
const apiConfiguration = this.cacheService.getApiConfiguration()
const autoApprovalSettings = this.cacheService.getGlobalStateKey("autoApprovalSettings")
const browserSettings = this.cacheService.getGlobalStateKey("browserSettings")
const focusChainSettings = this.cacheService.getGlobalStateKey("focusChainSettings")
const focusChainFeatureFlagEnabled = this.cacheService.getGlobalStateKey("focusChainFeatureFlagEnabled")
const preferredLanguage = this.cacheService.getGlobalStateKey("preferredLanguage")
const openaiReasoningEffort = this.cacheService.getGlobalStateKey("openaiReasoningEffort")
const mode = this.cacheService.getGlobalStateKey("mode")
const shellIntegrationTimeout = this.cacheService.getGlobalStateKey("shellIntegrationTimeout")
const terminalReuseEnabled = this.cacheService.getGlobalStateKey("terminalReuseEnabled")
const terminalOutputLineLimit = this.cacheService.getGlobalStateKey("terminalOutputLineLimit")
const defaultTerminalProfile = this.cacheService.getGlobalStateKey("defaultTerminalProfile")
const enableCheckpointsSetting = this.cacheService.getGlobalStateKey("enableCheckpointsSetting")
const isNewUser = this.cacheService.getGlobalStateKey("isNewUser")
const taskHistory = this.cacheService.getGlobalStateKey("taskHistory")
const strictPlanModeEnabled = this.cacheService.getGlobalStateKey("strictPlanModeEnabled")
const useAutoCondense = this.cacheService.getGlobalStateKey("useAutoCondense")
const NEW_USER_TASK_COUNT_THRESHOLD = 10
// Check if the user has completed enough tasks to no longer be considered a "new user"
if (isNewUser && !historyItem && taskHistory && taskHistory.length >= NEW_USER_TASK_COUNT_THRESHOLD) {
this.stateManager.setGlobalState("isNewUser", false)
this.cacheService.setGlobalState("isNewUser", false)
await this.postStateToWebview()
}
@@ -200,29 +189,14 @@ export class Controller {
...autoApprovalSettings,
version: (autoApprovalSettings.version ?? 1) + 1,
}
this.stateManager.setGlobalState("autoApprovalSettings", updatedAutoApprovalSettings)
this.cacheService.setGlobalState("autoApprovalSettings", updatedAutoApprovalSettings)
}
// Apply remote feature flag gate to focus chain settings. Respect if user has disabled it.
let focusChainEnabled: boolean
if (focusChainSettings?.enabled === false) {
focusChainEnabled = false
} else {
focusChainEnabled = Boolean(focusChainSettings?.enabled)
}
// Apply remote feature flag gate to focus chain settings
const effectiveFocusChainSettings = {
...(focusChainSettings || { enabled: true, remindClineInterval: 6 }),
enabled: focusChainEnabled,
enabled: Boolean(focusChainSettings?.enabled) && Boolean(focusChainFeatureFlagEnabled),
}
// Initialize and persist the workspace manager (multi-root or single-root) with telemetry + fallback
this.workspaceManager = await setupWorkspaceManager({
stateManager: this.stateManager,
detectRoots: detectWorkspaceRoots,
})
const cwd = this.workspaceManager?.getPrimaryRoot()?.path || (await getCwd(getDesktopDir()))
this.task = new Task(
this,
this.mcpHub,
@@ -238,15 +212,14 @@ export class Controller {
openaiReasoningEffort,
mode,
strictPlanModeEnabled ?? true,
useAutoCondense ?? false,
useAutoCondense ?? true,
shellIntegrationTimeout,
terminalReuseEnabled ?? true,
terminalOutputLineLimit ?? 500,
defaultTerminalProfile ?? "default",
enableCheckpointsSetting ?? true,
cwd,
this.stateManager,
this.workspaceManager,
await getCwd(getDesktopDir()),
this.cacheService,
task,
images,
files,
@@ -262,7 +235,7 @@ export class Controller {
}
async updateTelemetrySetting(telemetrySetting: TelemetrySetting) {
this.stateManager.setGlobalState("telemetrySetting", telemetrySetting)
this.cacheService.setGlobalState("telemetrySetting", telemetrySetting)
const isOptedIn = telemetrySetting !== "disabled"
telemetryService.updateTelemetryState(isOptedIn)
await this.postStateToWebview()
@@ -272,14 +245,14 @@ export class Controller {
const didSwitchToActMode = modeToSwitchTo === "act"
// Store mode to global state
this.stateManager.setGlobalState("mode", modeToSwitchTo)
this.cacheService.setGlobalState("mode", modeToSwitchTo)
// Capture mode switch telemetry | Capture regardless of if we know the taskId
telemetryService.captureModeSwitch(this.task?.ulid ?? "0", modeToSwitchTo)
// Update API handler with new mode (buildApiHandler now selects provider based on mode)
if (this.task) {
const apiConfiguration = this.stateManager.getApiConfiguration()
const apiConfiguration = this.cacheService.getApiConfiguration()
this.task.api = buildApiHandler({ ...apiConfiguration, ulid: this.task.ulid }, modeToSwitchTo)
}
@@ -344,12 +317,12 @@ export class Controller {
const clineProvider: ApiProvider = "cline"
// Get current settings to determine how to update providers
const planActSeparateModelsSetting = this.stateManager.getGlobalStateKey("planActSeparateModelsSetting")
const planActSeparateModelsSetting = this.cacheService.getGlobalStateKey("planActSeparateModelsSetting")
const currentMode = await this.getCurrentMode()
// Get current API configuration from cache
const currentApiConfiguration = this.stateManager.getApiConfiguration()
const currentApiConfiguration = this.cacheService.getApiConfiguration()
const updatedConfig = { ...currentApiConfiguration }
@@ -367,10 +340,10 @@ export class Controller {
}
// Update the API configuration through cache service
this.stateManager.setApiConfiguration(updatedConfig)
this.cacheService.setApiConfiguration(updatedConfig)
// Mark welcome view as completed since user has successfully logged in
this.stateManager.setGlobalState("welcomeViewCompleted", true)
this.cacheService.setGlobalState("welcomeViewCompleted", true)
if (this.task) {
this.task.api = buildApiHandler({ ...updatedConfig, ulid: this.task.ulid }, currentMode)
@@ -411,7 +384,7 @@ export class Controller {
}
// Store in global state
this.stateManager.setGlobalState("mcpMarketplaceCatalog", catalog)
this.cacheService.setGlobalState("mcpMarketplaceCatalog", catalog)
return catalog
} catch (error) {
console.error("Failed to fetch MCP marketplace:", error)
@@ -449,7 +422,7 @@ export class Controller {
}
// Store in global state
this.stateManager.setGlobalState("mcpMarketplaceCatalog", catalog)
this.cacheService.setGlobalState("mcpMarketplaceCatalog", catalog)
return catalog
} catch (error) {
console.error("Failed to fetch MCP marketplace:", error)
@@ -506,14 +479,14 @@ export class Controller {
const currentMode = await this.getCurrentMode()
// Update API configuration through cache service
const currentApiConfiguration = this.stateManager.getApiConfiguration()
const currentApiConfiguration = this.cacheService.getApiConfiguration()
const updatedConfig = {
...currentApiConfiguration,
planModeApiProvider: openrouter,
actModeApiProvider: openrouter,
openRouterApiKey: apiKey,
}
this.stateManager.setApiConfiguration(updatedConfig)
this.cacheService.setApiConfiguration(updatedConfig)
await this.postStateToWebview()
if (this.task) {
@@ -564,7 +537,7 @@ export class Controller {
taskMetadataFilePath: string
apiConversationHistory: Anthropic.MessageParam[]
}> {
const history = this.stateManager.getGlobalStateKey("taskHistory")
const history = this.cacheService.getGlobalStateKey("taskHistory")
const historyItem = history.find((item) => item.id === id)
if (historyItem) {
const taskDirPath = path.join(this.context.globalStorageUri.fsPath, "tasks", id)
@@ -599,9 +572,9 @@ export class Controller {
async deleteTaskFromState(id: string) {
// Remove the task from history
const taskHistory = this.stateManager.getGlobalStateKey("taskHistory")
const taskHistory = this.cacheService.getGlobalStateKey("taskHistory")
const updatedTaskHistory = taskHistory.filter((task) => task.id !== id)
this.stateManager.setGlobalState("taskHistory", updatedTaskHistory)
this.cacheService.setGlobalState("taskHistory", updatedTaskHistory)
// Notify the webview that the task has been deleted
await this.postStateToWebview()
@@ -616,43 +589,44 @@ export class Controller {
async getStateToPostToWebview(): Promise<ExtensionState> {
// Get API configuration from cache for immediate access
const apiConfiguration = this.stateManager.getApiConfiguration()
const lastShownAnnouncementId = this.stateManager.getGlobalStateKey("lastShownAnnouncementId")
const taskHistory = this.stateManager.getGlobalStateKey("taskHistory")
const autoApprovalSettings = this.stateManager.getGlobalStateKey("autoApprovalSettings")
const browserSettings = this.stateManager.getGlobalStateKey("browserSettings")
const focusChainSettings = this.stateManager.getGlobalStateKey("focusChainSettings")
const preferredLanguage = this.stateManager.getGlobalStateKey("preferredLanguage")
const openaiReasoningEffort = this.stateManager.getGlobalStateKey("openaiReasoningEffort")
const mode = this.stateManager.getGlobalStateKey("mode")
const strictPlanModeEnabled = this.stateManager.getGlobalStateKey("strictPlanModeEnabled")
const useAutoCondense = this.stateManager.getGlobalStateKey("useAutoCondense")
const userInfo = this.stateManager.getGlobalStateKey("userInfo")
const mcpMarketplaceEnabled = this.stateManager.getGlobalStateKey("mcpMarketplaceEnabled")
const mcpDisplayMode = this.stateManager.getGlobalStateKey("mcpDisplayMode")
const telemetrySetting = this.stateManager.getGlobalStateKey("telemetrySetting")
const planActSeparateModelsSetting = this.stateManager.getGlobalStateKey("planActSeparateModelsSetting")
const enableCheckpointsSetting = this.stateManager.getGlobalStateKey("enableCheckpointsSetting")
const globalClineRulesToggles = this.stateManager.getGlobalStateKey("globalClineRulesToggles")
const globalWorkflowToggles = this.stateManager.getGlobalStateKey("globalWorkflowToggles")
const shellIntegrationTimeout = this.stateManager.getGlobalStateKey("shellIntegrationTimeout")
const terminalReuseEnabled = this.stateManager.getGlobalStateKey("terminalReuseEnabled")
const defaultTerminalProfile = this.stateManager.getGlobalStateKey("defaultTerminalProfile")
const isNewUser = this.stateManager.getGlobalStateKey("isNewUser")
const apiConfiguration = this.cacheService.getApiConfiguration()
const lastShownAnnouncementId = this.cacheService.getGlobalStateKey("lastShownAnnouncementId")
const taskHistory = this.cacheService.getGlobalStateKey("taskHistory")
const autoApprovalSettings = this.cacheService.getGlobalStateKey("autoApprovalSettings")
const browserSettings = this.cacheService.getGlobalStateKey("browserSettings")
const focusChainSettings = this.cacheService.getGlobalStateKey("focusChainSettings")
const focusChainFeatureFlagEnabled = this.cacheService.getGlobalStateKey("focusChainFeatureFlagEnabled")
const preferredLanguage = this.cacheService.getGlobalStateKey("preferredLanguage")
const openaiReasoningEffort = this.cacheService.getGlobalStateKey("openaiReasoningEffort")
const mode = this.cacheService.getGlobalStateKey("mode")
const strictPlanModeEnabled = this.cacheService.getGlobalStateKey("strictPlanModeEnabled")
const useAutoCondense = this.cacheService.getGlobalStateKey("useAutoCondense")
const userInfo = this.cacheService.getGlobalStateKey("userInfo")
const mcpMarketplaceEnabled = this.cacheService.getGlobalStateKey("mcpMarketplaceEnabled")
const mcpDisplayMode = this.cacheService.getGlobalStateKey("mcpDisplayMode")
const telemetrySetting = this.cacheService.getGlobalStateKey("telemetrySetting")
const planActSeparateModelsSetting = this.cacheService.getGlobalStateKey("planActSeparateModelsSetting")
const enableCheckpointsSetting = this.cacheService.getGlobalStateKey("enableCheckpointsSetting")
const globalClineRulesToggles = this.cacheService.getGlobalStateKey("globalClineRulesToggles")
const globalWorkflowToggles = this.cacheService.getGlobalStateKey("globalWorkflowToggles")
const shellIntegrationTimeout = this.cacheService.getGlobalStateKey("shellIntegrationTimeout")
const terminalReuseEnabled = this.cacheService.getGlobalStateKey("terminalReuseEnabled")
const defaultTerminalProfile = this.cacheService.getGlobalStateKey("defaultTerminalProfile")
const isNewUser = this.cacheService.getGlobalStateKey("isNewUser")
const welcomeViewCompleted = Boolean(
this.stateManager.getGlobalStateKey("welcomeViewCompleted") || this.authService.getInfo()?.user?.uid,
this.cacheService.getGlobalStateKey("welcomeViewCompleted") || this.authService.getInfo()?.user?.uid,
)
const customPrompt = this.stateManager.getGlobalStateKey("customPrompt")
const mcpResponsesCollapsed = this.stateManager.getGlobalStateKey("mcpResponsesCollapsed")
const terminalOutputLineLimit = this.stateManager.getGlobalStateKey("terminalOutputLineLimit")
const localClineRulesToggles = this.stateManager.getWorkspaceStateKey("localClineRulesToggles")
const localWindsurfRulesToggles = this.stateManager.getWorkspaceStateKey("localWindsurfRulesToggles")
const localCursorRulesToggles = this.stateManager.getWorkspaceStateKey("localCursorRulesToggles")
const workflowToggles = this.stateManager.getWorkspaceStateKey("workflowToggles")
const customPrompt = this.cacheService.getGlobalStateKey("customPrompt")
const mcpResponsesCollapsed = this.cacheService.getGlobalStateKey("mcpResponsesCollapsed")
const terminalOutputLineLimit = this.cacheService.getGlobalStateKey("terminalOutputLineLimit")
const localClineRulesToggles = this.cacheService.getWorkspaceStateKey("localClineRulesToggles")
const localWindsurfRulesToggles = this.cacheService.getWorkspaceStateKey("localWindsurfRulesToggles")
const localCursorRulesToggles = this.cacheService.getWorkspaceStateKey("localCursorRulesToggles")
const workflowToggles = this.cacheService.getWorkspaceStateKey("workflowToggles")
const currentTaskItem = this.task?.taskId ? (taskHistory || []).find((item) => item.id === this.task?.taskId) : undefined
const checkpointTrackerErrorMessage = this.task?.taskState.checkpointTrackerErrorMessage
const clineMessages = this.task?.messageStateHandler.getClineMessages() || []
const checkpointManagerErrorMessage = this.task?.taskState.checkpointManagerErrorMessage
const processedTaskHistory = (taskHistory || [])
.filter((item) => item.ts && item.task)
@@ -662,25 +636,25 @@ export class Controller {
const latestAnnouncementId = getLatestAnnouncementId(this.context)
const shouldShowAnnouncement = lastShownAnnouncementId !== latestAnnouncementId
const platform = process.platform as Platform
const distinctId = getDistinctId()
const distinctId = PostHogClientProvider.getInstance().distinctId
const version = this.context.extension?.packageJSON?.version ?? ""
const uriScheme = vscode.env.uriScheme
const extensionInfo = {
name: this.context.extension?.packageJSON?.name,
publisher: this.context.extension?.packageJSON?.publisher,
}
return {
version,
apiConfiguration,
uriScheme,
currentTaskItem,
checkpointTrackerErrorMessage,
clineMessages,
currentFocusChainChecklist: this.task?.taskState.currentFocusChainChecklist || null,
checkpointManagerErrorMessage,
taskHistory: processedTaskHistory,
shouldShowAnnouncement,
platform,
autoApprovalSettings,
browserSettings,
focusChainSettings,
focusChainFeatureFlagEnabled,
preferredLanguage,
openaiReasoningEffort,
mode,
@@ -707,14 +681,6 @@ export class Controller {
mcpResponsesCollapsed,
terminalOutputLineLimit,
customPrompt,
taskHistory: processedTaskHistory,
platform,
shouldShowAnnouncement,
extensionInfo,
// NEW: Add workspace information
workspaceRoots: this.workspaceManager?.getRoots() ?? [],
primaryRootIndex: this.workspaceManager?.getPrimaryIndex() ?? 0,
isMultiRootWorkspace: (this.workspaceManager?.getRoots().length ?? 0) > 1,
}
}
@@ -744,14 +710,14 @@ export class Controller {
*/
async updateTaskHistory(item: HistoryItem): Promise<HistoryItem[]> {
const history = this.stateManager.getGlobalStateKey("taskHistory")
const history = this.cacheService.getGlobalStateKey("taskHistory")
const existingItemIndex = history.findIndex((h) => h.id === item.id)
if (existingItemIndex !== -1) {
history[existingItemIndex] = item
} else {
history.push(item)
}
this.stateManager.setGlobalState("taskHistory", history)
this.cacheService.setGlobalState("taskHistory", history)
return history
}
}
@@ -1,5 +1,6 @@
import axios from "axios"
import { SapAiCoreModelDeployment, SapAiCoreModelsRequest, SapAiCoreModelsResponse } from "@/shared/proto/cline/models"
import { StringArray } from "@/shared/proto/cline/common"
import { SapAiCoreModelsRequest } from "@/shared/proto/cline/models"
import { Controller } from ".."
interface Token {
@@ -11,11 +12,6 @@ interface Token {
expires_at: number
}
interface Deployment {
id: string
name: string
}
/**
* Authenticates with SAP AI Core and returns an access token
* @param clientId SAP AI Core client ID
@@ -40,19 +36,15 @@ async function getToken(clientId: string, clientSecret: string, tokenUrl: string
}
/**
* Fetches deployments and orchestration availability from SAP AI Core deployments
* Fetches model names from SAP AI Core deployments
* @param accessToken Access token for authentication
* @param baseUrl SAP AI Core base URL
* @param resourceGroup SAP AI Core resource group
* @returns Promise<{deployments: Deployment[], orchestrationAvailable: boolean}> Deployments and orchestration availability
* @returns Promise<string[]> Array of model names from running deployments
*/
async function fetchAiCoreDeploymentsAndOrchestration(
accessToken: string,
baseUrl: string,
resourceGroup: string,
): Promise<{ deployments: Deployment[]; orchestrationAvailable: boolean }> {
async function fetchAiCoreModelNames(accessToken: string, baseUrl: string, resourceGroup: string): Promise<string[]> {
if (!accessToken) {
return { deployments: [], orchestrationAvailable: false }
return ["ai-core-not-configured"]
}
const headers = {
@@ -66,29 +58,18 @@ async function fetchAiCoreDeploymentsAndOrchestration(
try {
const response = await axios.get(url, { headers })
const allDeployments = response.data.resources
const deployments = response.data.resources
// Filter running deployments
const runningDeployments = allDeployments.filter((deployment: any) => deployment.targetStatus === "RUNNING")
// Check for orchestration deployment
const orchestrationAvailable = runningDeployments.some((deployment: any) => deployment.scenarioId === "orchestration")
// Extract deployments with model names and IDs
const deployments = runningDeployments
return deployments
.filter((deployment: any) => deployment.targetStatus === "RUNNING")
.map((deployment: any) => {
const model = deployment.details?.resources?.backend_details?.model
if (!model?.name || !model?.version) {
return null // Skip this row
}
return {
id: deployment.id,
name: `${model.name}:${model.version}`,
}
return `${model.name}:${model.version}`
})
.filter((deployment: any) => deployment !== null)
return { deployments, orchestrationAvailable }
.filter((modelName: string | null) => modelName !== null)
} catch (error) {
console.error("Error fetching deployments:", error)
throw new Error("Failed to fetch deployments")
@@ -96,53 +77,29 @@ async function fetchAiCoreDeploymentsAndOrchestration(
}
/**
* Fetches available models from SAP AI Core deployments and orchestration availability
* Fetches available models from SAP AI Core deployments
* @param controller The controller instance
* @param request The request containing SAP AI Core configuration
* @returns SapAiCoreModelsResponse with deployments and orchestration availability
* @returns StringArray of model names
*/
export async function getSapAiCoreModels(
controller: Controller,
request: SapAiCoreModelsRequest,
): Promise<SapAiCoreModelsResponse> {
export async function getSapAiCoreModels(controller: Controller, request: SapAiCoreModelsRequest): Promise<StringArray> {
try {
// Check if required configuration is provided
if (!request.clientId || !request.clientSecret || !request.baseUrl) {
// Return empty response if configuration is incomplete
return SapAiCoreModelsResponse.create({
deployments: [],
orchestrationAvailable: false,
})
// Return empty array if configuration is incomplete
return StringArray.create({ values: [] })
}
// Direct authentication and deployment/orchestration fetching
// Direct authentication and model name fetching
const token = await getToken(request.clientId, request.clientSecret, request.tokenUrl)
const { deployments, orchestrationAvailable } = await fetchAiCoreDeploymentsAndOrchestration(
token.access_token,
request.baseUrl,
request.resourceGroup,
)
const modelNames = await fetchAiCoreModelNames(token.access_token, request.baseUrl, request.resourceGroup)
// Create model-deployment pairs
const modelDeployments = deployments
.map((deployment) => {
const modelName = deployment.name.split(":")[0].toLowerCase()
return SapAiCoreModelDeployment.create({
modelName: modelName,
deploymentId: deployment.id,
})
})
.sort((a, b) => a.modelName.localeCompare(b.modelName))
// Extract base model names (without version) and sort
const baseModelNames = modelNames.map((modelName) => modelName.split(":")[0].toLowerCase()).sort()
return SapAiCoreModelsResponse.create({
deployments: modelDeployments,
orchestrationAvailable,
})
return StringArray.create({ values: baseModelNames })
} catch (error) {
console.error("Error fetching SAP AI Core models:", error)
return SapAiCoreModelsResponse.create({
deployments: [],
orchestrationAvailable: false,
})
return StringArray.create({ values: [] })
}
}

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