feat: Add backend gallery (#5607)

* feat: Add backend gallery

This PR add support to manage backends as similar to models. There is
now available a backend gallery which can be used to install and remove
extra backends.
The backend gallery can be configured similarly as a model gallery, and
API calls allows to install and remove new backends in runtime, and as
well during the startup phase of LocalAI.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Add backends docs

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* wip: Backend Dockerfile for python backends

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat: drop extras images, build python backends separately

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fixup on all backends

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* test CI

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Tweaks

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Drop old backends leftovers

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Fixup CI

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Move dockerfile upper

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Fix proto

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Feature dropped for consistency - we prefer model galleries

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Add missing packages in the build image

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* exllama is ponly available on cublas

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* pin torch on chatterbox

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Fixups to index

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* CI

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Debug CI

* Install accellerators deps

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Add target arch

* Add cuda minor version

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Use self-hosted runners

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* ci: use quay for test images

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fixups for vllm and chatterbox

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Small fixups on CI

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* chatterbox is only available for nvidia

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Simplify CI builds

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Adapt test, use qwen3

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* chore(model gallery): add jina-reranker-v1-tiny-en-gguf

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(gguf-parser): recover from potential panics that can happen while reading ggufs with gguf-parser

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Use reranker from llama.cpp in AIO images

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Limit concurrent jobs

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
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Ettore Di Giacinto 2025-06-15 14:56:52 +02:00 committed by GitHub
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114 changed files with 3996 additions and 1382 deletions

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@ -0,0 +1,118 @@
---
title: "Backends"
description: "Learn how to use, manage, and develop backends in LocalAI"
weight: 4
---
# Backends
LocalAI supports a variety of backends that can be used to run different types of AI models. There are core Backends which are included, and there are containerized applications that provide the runtime environment for specific model types, such as LLMs, diffusion models, or text-to-speech models.
## Managing Backends in the UI
The LocalAI web interface provides an intuitive way to manage your backends:
1. Navigate to the "Backends" section in the navigation menu
2. Browse available backends from configured galleries
3. Use the search bar to find specific backends by name, description, or type
4. Filter backends by type using the quick filter buttons (LLM, Diffusion, TTS, Whisper)
5. Install or delete backends with a single click
6. Monitor installation progress in real-time
Each backend card displays:
- Backend name and description
- Type of models it supports
- Installation status
- Action buttons (Install/Delete)
- Additional information via the info button
## Backend Galleries
Backend galleries are repositories that contain backend definitions. They work similarly to model galleries but are specifically for backends.
### Adding a Backend Gallery
You can add backend galleries by specifying the **Environment Variable** `LOCALAI_BACKEND_GALLERIES`:
```bash
export LOCALAI_BACKEND_GALLERIES='[{"name":"my-gallery","url":"https://raw.githubusercontent.com/username/repo/main/backends"}]'
```
The URL needs to point to a valid yaml file, for example:
```yaml
- name: "test-backend"
uri: "quay.io/image/tests:localai-backend-test"
alias: "foo-backend"
```
Where URI is the path to an OCI container image.
### Backend Gallery Structure
A backend gallery is a collection of YAML files, each defining a backend. Here's an example structure:
```yaml
# backends/llm-backend.yaml
name: "llm-backend"
description: "A backend for running LLM models"
uri: "quay.io/username/llm-backend:latest"
alias: "llm"
tags:
- "llm"
- "text-generation"
```
## Pre-installing Backends
You can pre-install backends when starting LocalAI using the `LOCALAI_EXTERNAL_BACKENDS` environment variable:
```bash
export LOCALAI_EXTERNAL_BACKENDS="llm-backend,diffusion-backend"
local-ai run
```
## Creating a Backend
To create a new backend, you need to:
1. Create a container image that implements the LocalAI backend interface
2. Define a backend YAML file
3. Publish your backend to a container registry
### Backend Container Requirements
Your backend container should:
1. Implement the LocalAI backend interface (gRPC or HTTP)
2. Handle model loading and inference
3. Support the required model types
4. Include necessary dependencies
5. Have a top level `run.sh` file that will be used to run the backend
6. Pushed to a registry so can be used in a gallery
### Publishing Your Backend
1. Build your container image:
```bash
docker build -t quay.io/username/my-backend:latest .
```
2. Push to a container registry:
```bash
docker push quay.io/username/my-backend:latest
```
3. Add your backend to a gallery:
- Create a YAML entry in your gallery repository
- Include the backend definition
- Make the gallery accessible via HTTP/HTTPS
## Backend Types
LocalAI supports various types of backends:
- **LLM Backends**: For running language models
- **Diffusion Backends**: For image generation
- **TTS Backends**: For text-to-speech conversion
- **Whisper Backends**: For speech-to-text conversion

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@ -169,11 +169,6 @@ curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{
}' | aplay
```
### Parler-tts
`parler-tts`. It is possible to install and configure the model directly from the gallery. https://github.com/huggingface/parler-tts
## Using config files
You can also use a `config-file` to specify TTS models and their parameters.