Akarshan Biswas f59739d2b0
refactor: Improve Llama.cpp backend management and auto-update (#5845)
* refactor: Improve Llama.cpp backend management and auto-update

This commit refactors the Llama.cpp extension to enhance backend management and streamline the auto-update process.

Key changes include:

Refactored configureBackends: The logic for determining the best available backend and populating settings is now more modular, preventing duplicate executions.

Dedicated Auto-update Handling: Introduced a handleAutoUpdate method to encapsulate the auto-update logic, including downloading the latest available backend and updating the internal configuration and settings.

Robust Old Backend Cleanup: The removeOldBackends method is improved to ensure only the currently used backend version and type are kept, effectively managing disk space. A delay is added for Windows to prevent file conflicts during cleanup.

Final Installation Check: A ensureFinalBackendInstallation method is added to guarantee the selected backend is installed, acting as a final safeguard after auto-update or if auto-update is disabled.

Minor Fixes:

Added console.log for save_path during decompression for better debugging.

Ensured the output directory exists before decompression in the Rust backend.

Removed extraneous console log for session info.

Updated Cargo.toml and tauri.conf.json versions.

These changes lead to a more reliable and efficient Llama.cpp backend experience within the application, particularly for users with auto-update enabled.

* fix isBackendInstalled parameters

* Address bot's comments

* Address bot comments of using try finally block
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Jan - Local AI Assistant

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Getting Started - Docs - Changelog - Bug reports - Discord

Jan is a ChatGPT-alternative that runs 100% offline on your device. Our goal is to make it easy for a layperson to download and run LLMs and use AI with full control and privacy.

⚠️ Jan is in active development.

Installation

Because clicking a button is still the easiest way to get started:

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Download from jan.ai or GitHub Releases.

Demo

Features

  • Local AI Models: Download and run LLMs (Llama, Gemma, Qwen, etc.) from HuggingFace
  • Cloud Integration: Connect to OpenAI, Anthropic, Mistral, Groq, and others
  • Custom Assistants: Create specialized AI assistants for your tasks
  • OpenAI-Compatible API: Local server at localhost:1337 for other applications
  • Model Context Protocol: MCP integration for enhanced capabilities
  • Privacy First: Everything runs locally when you want it to

Build from Source

For those who enjoy the scenic route:

Prerequisites

  • Node.js ≥ 20.0.0
  • Yarn ≥ 1.22.0
  • Make ≥ 3.81
  • Rust (for Tauri)

Run with Make

git clone https://github.com/menloresearch/jan
cd jan
make dev

This handles everything: installs dependencies, builds core components, and launches the app.

Available make targets:

  • make dev - Full development setup and launch
  • make build - Production build
  • make test - Run tests and linting
  • make clean - Delete everything and start fresh

Run with Mise (easier)

You can also run with mise, which is a bit easier as it ensures Node.js, Rust, and other dependency versions are automatically managed:

git clone https://github.com/menloresearch/jan
cd jan

# Install mise (if not already installed)
curl https://mise.run | sh

# Install tools and start development
mise install    # installs Node.js, Rust, and other tools
mise dev        # runs the full development setup

Available mise commands:

  • mise dev - Full development setup and launch
  • mise build - Production build
  • mise test - Run tests and linting
  • mise clean - Delete everything and start fresh
  • mise tasks - List all available tasks

Manual Commands

yarn install
yarn build:core
yarn build:extensions
yarn dev

System Requirements

Minimum specs for a decent experience:

  • macOS: 13.6+ (8GB RAM for 3B models, 16GB for 7B, 32GB for 13B)
  • Windows: 10+ with GPU support for NVIDIA/AMD/Intel Arc
  • Linux: Most distributions work, GPU acceleration available

For detailed compatibility, check our installation guides.

Troubleshooting

When things go sideways (they will):

  1. Check our troubleshooting docs
  2. Copy your error logs and system specs
  3. Ask for help in our Discord #🆘|jan-help channel

We keep logs for 24 hours, so don't procrastinate on reporting issues.

Contributing

Contributions welcome. See CONTRIBUTING.md for the full spiel.

Contact

Trust & Safety

Friendly reminder: We're not trying to scam you.

  • We won't ask for personal information
  • Jan is completely free (no premium version exists)
  • We don't have a cryptocurrency or ICO
  • We're bootstrapped and not seeking your investment (yet)

License

Apache 2.0 - Because sharing is caring.

Acknowledgements

Built on the shoulders of giants:

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JavaScript 34.1%
Rust 8.6%
Python 1.5%
Shell 0.4%
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