Continued is an elite AI coding assistant built directly into your VS Code sidebar. It orchestrates a seamless multi-model experience by combining local offline LLMs with advanced cloud providers to assist you with conversational chat, file creation, and precise repository modifications.
Features
Dual-Engine Model Hub: Access local Ollama instances (e.g., llama3) alongside remote high-performance cloud clusters via the Blablador API (such as alias-code or alias-large).
Agent Operations (File Auto-Editing & Deletion): Shift your chat panel into Agent Mode or Agent Auto-Edit to empower the AI to dynamically generate file contents using <write_file> tags or clean up workspace paths with <delete_file /> tags.
Safe Approval Gateway: Maintain absolute control over your filesystem. In standard Agent Mode, every change or file destruction requires an explicit confirmation click in your sidebar before executing.
Transaction Rollbacks / Undo: Did the model write an unwanted change? Use the built-in Discard / Undo loop to cleanly roll back the targeted file to its original snapshot instantly.
Secure Credential Allocation: Cloud provider endpoint tokens are safely managed inside VS Code's OS-level encrypted SecretStorage keychain.
Workspace Settings & Configurations
Continued allows you to switch between model endpoints directly from the sidebar. Tap the ⚙️ (Settings Gear Icon) at the top of the panel to bring up the Provider Registration panel.
Setting up Cloud Providers (Blablador)
To connect your Helmholtz Blablador remote workspace models:
Click the ⚙️ icon in the sidebar control row.
Input your Personal Access Token obtained via your Helmholtz Codebase profile.
The panel will automatically query the API endpoint (https://api.blablador.fz-juelich.de/v1/models) and cleanly populate your dropdown menu with prefix tags like blablador/alias-code.
Extension Settings
This extension contributes the following internal command allocations:
continued.addProvider: Invokes the secure user token setup modal.
continued.helloWorld: Launches inline command box inputs inside active editors.
Prerequisites & Requirements
Local Inference: To access local models offline, ensure you have Ollama running locally (http://localhost:11434) with at least one model pulled (e.g., ollama pull llama3).
Cloud Infrastructure: A GitLab account registered with an EduGAIN or university network is required to claim your Blablador API token for remote usage.
Release Notes
1.0.0
Initial Release of the modularized core.
Implemented the sidebar panel architecture containing historic chat session caching.
Added multi-mode execution: Chat, Agent, and Agent Auto-Edit.
Unified Local Ollama tags with OpenAI-compatible streaming endpoints from Blablador.
Enjoy a frictionless assistant experience with Continued!
