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* add user completions draft * [autofix.ci] apply automated fixes * feat(db): Create DAO for user completion logging (#1514) * feat(db): Create DAO for user completion logging * Apply suggestions * Remove todo * Apply suggestions * test(webserver): Create test for user completions (#1523) * test(webserver): Create test for user completions * Utility function to sleep 50ms * Delete ee/tabby-webserver/src/service/logger.rs * Update ee/tabby-webserver/src/service/mod.rs * [autofix.ci] apply automated fixes * Apply suggestion * Fix test * Add test cases for missing or invalid user * Add test for chat completion event * Apply suggestions * feat(webserver): Use db logger for chat completions * Make webserver non-optional dependency * Restructure code to not depend on webserver unconditionally * Move dep back * Fixes for conflicts * Change to use IDs instead of emails * Use db logger for webserver * Remove bound from EventLogger * [autofix.ci] apply automated fixes * Create raw event logger wrapper * Apply suggestions * [autofix.ci] apply automated fixes * Fix event logging * Apply suggestions * Make new_event_logger non-public * Make import feature-gated * [autofix.ci] apply automated fixes * Apply suggestion * Hopefully fix tests * Apply suggestions * Fix compile error --------- Co-authored-by: Meng Zhang <meng@tabbyml.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> |
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Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features:
- Self-contained, with no need for a DBMS or cloud service.
- OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE).
- Supports consumer-grade GPUs.
🔥 What's New
- 12/23/2023 Seamlessly deploy Tabby on any cloud with SkyServe 🛫 from SkyPilot.
- 12/15/2023 v0.7.0 released with team management and secured access!
- 10/24/2023 ⛳️ Major updates for Tabby IDE plugins across VSCode/Vim/IntelliJ!
Archived
- 10/15/2023 RAG-based code completion is enabled by detail in v0.3.0🎉! Check out the blogpost explaining how Tabby utilizes repo-level context to get even smarter!
- 11/27/2023 v0.6.0 released!
- 11/09/2023 v0.5.5 released! With a redesign of UI + performance improvement.
- 10/04/2023 Check out the model directory for the latest models supported by Tabby.
- 09/18/2023 Apple's M1/M2 Metal inference support has landed in v0.1.1!
- 08/31/2023 Tabby's first stable release v0.0.1 🥳.
- 08/28/2023 Experimental support for the CodeLlama 7B.
- 08/24/2023 Tabby is now on JetBrains Marketplace!
👋 Getting Started
You can find our documentation here.
Run Tabby in 1 Minute
The easiest way to start a Tabby server is by using the following Docker command:
docker run -it \
--gpus all -p 8080:8080 -v $HOME/.tabby:/data \
tabbyml/tabby \
serve --model TabbyML/StarCoder-1B --device cuda
For additional options (e.g inference type, parallelism), please refer to the documentation page.
🤝 Contributing
Full guide at CONTRIBUTING.md;
Get the Code
git clone --recurse-submodules https://github.com/TabbyML/tabby
cd tabby
If you have already cloned the repository, you could run the git submodule update --recursive --init
command to fetch all submodules.
Build
-
Set up the Rust environment by following this tutorial.
-
Install the required dependencies:
# For MacOS
brew install protobuf
# For Ubuntu / Debian
apt-get install protobuf-compiler libopenblas-dev
- Now, you can build Tabby by running the command
cargo build
.
Start Hacking!
... and don't forget to submit a Pull Request
🌍 Community
- 🎤 Twitter / X - engage with TabbyML for all things possible
- 📚 LinkedIn - follow for the latest from the community
- 💌 Newsletter - subscribe to unlock Tabby insights and secrets