Runs the Context-Engine remote upload client with a force sync on startup followed by watch mode. Requires Python with pip install requests urllib3 charset_normalizer.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
Runs a force sync (Index Codebase) followed by watch mode to keep a remote Context Engine instance in sync with your workspace.
Auto-detects the first workspace folder as the default target path, storing it in workspace settings so the extension is portable.
Provides commands and a status-bar button:
Context Engine Uploader: Index Codebase – force sync + watch with spinner feedback.
Context Engine Uploader: Start/Stop/Restart for manual lifecycle control.
Streams detailed logs into the Context Engine Upload output channel for visibility into both force sync and watch phases.
Status bar shows current state (indexing spinner, purple watching state) so you always know if uploads are active.
Configuration
Run On Startup auto-triggers force sync + watch after VS Code finishes loading.
Python Path, Endpoint, Extra Force Args, Extra Watch Args, and Interval Seconds can be tuned via standard VS Code settings.
Target Path is auto-filled from the workspace but can be overridden if you need to upload a different folder.
Python dependencies: the extension runs the standalone upload client via your configured pythonPath. Ensure the interpreter has requests, urllib3, and charset_normalizer installed. Run python3 -m pip install requests urllib3 charset_normalizer (or replace python3 with your configured path) before starting the uploader.
Path mapping:Host Root + Container Root control how local paths are rewritten before reaching the remote service. By default the host root mirrors your Target Path and the container root is /work, which keeps Windows paths working without extra config.
Prompt+ decoder: set Context Engine Uploader: Decoder Url (default http://localhost:8081, auto-appends /completion) to point at your local llama.cpp decoder. For Ollama, set it to http://localhost:11434/api/chat. Enable Context Engine Uploader: Use Glm Decoder to set REFRAG_RUNTIME=glm for GLM backends. Turn on Use Gpu Decoder to set USE_GPU_DECODER=1 so ctx.py prefers the GPU llama.cpp sidecar.
Commands
Command Palette → “Context Engine Uploader” to access Start/Stop/Restart/Index Codebase.
Status-bar button (Index Codebase) mirrors the same behavior and displays progress.
Status-bar button (Prompt+) runs the bundled scripts/ctx.py --unicorn on your current selection and replaces it with the enhanced prompt.
Logs
Open View → Output → Context Engine Upload to see the remote uploader’s stdout/stderr, including any errors from the Python client.
